Census of Population and Housing: Census dictionary
Detailed information about Census variables, concepts and terms.
Introduction
The 2021 Census dictionary contains detailed information about Census variables and concepts. The dictionary helps data users better understand and interpret Census data.
The main sections of the dictionary include:
- What’s new for 2021 - summary of changes to classifications, Census variables and Census questions since 2016. Lists new variables for 2021.
- Variables index - alphabetical list of all variables. Variables can be selected to see more details.
- Variables by topic - helps users find variables based on topic group. Variables can be selected to see more details.
- Glossary - terms and definitions to assist data users gain a broader understanding of the Census and Census topics.
About Census variables
Information collected through the Census questions become data, which is output through variables. The Census dictionary details each variable and contains information on:
- Variable definition
- Scope (the population that the variable is applicable to)
- Categories
- How the variable is created
- Questions on the Census form related to the variable
- History and changes
- Data use considerations (including non-response rates)
- Related variables and glossary terms
- Useful links
Census data is available through a suite of standard products, or as data customised for individual user requirements. This reference material should be used in conjunction with Census data.
What's new for 2021
Classifications
Census uses the current Australian standard classifications where applicable to ensure Census data is comparable and compatible with previous censuses and other ABS data. These classifications are reviewed on an irregular basis to reflect changes in the Australian society. Several changes have occurred to these classifications since 2016.
Changes to classifications
Classification |
Impacted variables |
Change |
---|---|---|
Australian Standard Classification of Cultural and Ethnic Groups, 2019 (ASCCEG) |
'1105 - Norfolk Islander' has been added to the classification. |
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Standard Australian Classification of Countries, 2016 (SACC) |
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Australian and New Zealand Standard Classification of Occupations, 2013 v1.3 (ANZSCO) |
Minor changes to the classification mainly related to skill levels from 2016. |
Variables
The following tables outline:
- New variables - there are 56 new variables for 2021. Most of these are derived from the new questions on long-term health conditions and service in the Australian Defence Force.
- Changed variables - changes to questions, standards and classifications can affect how the data is output. This table describes key changes to variables from 2016 to 2021.
- Removed variables - details the three variables that were removed for 2021.
New variables
Variable |
Mnemonic |
Description of change |
---|---|---|
Aboriginal and Torres Strait Islander family indicator |
This variable indicates families that have at least one person who identified as being Aboriginal and/or Torres Strait Islander who is a usual resident of that dwelling and was present on Census night. |
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Ancestry one or two response indicator |
This variable records whether a person provides one or two responses to the ancestry question, which asks 'What is the person's ancestry?'. Up to two ancestries only are recorded. |
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Australian Defence Force service |
This variable describes whether a person is currently serving, has previously served, or has never served in the Australian Defence Force. This variable does not capture people who have served in non-Australian defence forces. |
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Australian Defence Force service, detailed |
This variable describes how a person responded to the Defence Force Service question. It provides a detailed breakdown of the various valid combinations that a person could mark on the form. |
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Count of adults (15 years and over) with selected long-term health condition(s) in household |
This variable counts the number of adults aged 15 years and over in a household who reported they had at least one of the selected long-term health conditions. |
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Count of children with selected long-term health condition(s) in household |
This variable counts the number of children under 15 years of age in a household who reported they had at least one of the selected long-term health conditions. |
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Count of dependent children under 15 in family |
This variable counts the number of dependent children under 15 years of age in the family. It includes up to three dependent children aged under 15 years who were temporarily absent from the household on Census night. This variable is related to the Count of Dependent Children Under 15 Temporarily Absent (CDCAF). |
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Count of dependent students (15-24 years) in family |
This variable counts the number of dependent students (15-24 years old) in the family. It includes up to three dependent students aged 15-24 years who were temporarily absent from the household on Census night. This variable is related to the Count of Dependent Students (15-24 years) Temporarily Absent (CDSAF). |
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Count of persons with selected long-term health condition(s) in household |
This variable counts the number of people in a household who reported they had at least one of the selected long-term health conditions. |
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Count of persons with selected long-term health condition(s) in household (ranges) |
This variable counts the number of people in a household who reported they had at least one of the selected long-term health conditions and is output in ranges. |
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Count of selected long-term health conditions |
This variable describes the number of selected long-term health conditions a person has. The selected long-term health conditions are arthritis, asthma, cancer, dementia, diabetes, heart disease, kidney disease, lung conditions, mental health condition and stroke. Other long-term health condition(s) are not included in the count. |
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Main source of family income (administrative data) |
FSAF | This variable indicates the main source of income that a family received. This is based on all income recorded in administrative data for the 2020/2021 financial year of family members aged 15 years or older who were present in the household on Census Night. |
Main source of household income (administrative data) |
HSAD | This variable indicates the main source of income that a household received. This is based on all income recorded in administrative data for the 2020/2021 financial year of residents aged 15 years or older who were present in the household on Census Night. |
Main source of personal income (administrative data) |
ISAP | This variable indicates the main source of income that a person received based on all income recorded in administrative data for the 2020/2021 financial year. |
Main type of family government benefit payment (administrative data) |
FGAF | This variable indicates the main type of government benefit payment that a family received. This is based on all government benefits, pensions, and allowances recorded in administrative data for the 2020/2021 financial year of family members aged 15 years or older who were present in the household on Census Night. |
Main type of household government benefit payment (administrative data) |
HGAD | This variable indicates the main type of government benefit payment that a household received. This is based on all government benefits, pensions, and allowances recorded in administrative data for the 2020/2021 financial year of residents aged 15 years or older who were present in the household on Census Night. |
Main type of personal government benefit payment (administrative data) |
IGAP | This variable indicates the main type of government benefit payment that a person received based all government benefits, pensions, and allowances recorded in administrative data for the 2020/2021 financial year. |
Mortgage affordability indicator |
This variable indicates the number of households where mortgage repayments were 'less than or equal to 30%' or 'more than 30%' of an imputed household income. |
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Occupation experimental update version 1 | OCCEV1P | This variable describes the primary job or occupation held by employed people in the week prior to Census Night. It has been created based on the ANZSCO - Australian and New Zealand Standard Classification of Occupations, 2021 and represents the 2021 Australian update. |
Occupation skill level |
This variable describes the occupation skill level of persons. Skill level is determined using the person’s occupation (see OCCP). |
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Occupation skill level experimental update version 1 | OCSKEV1P |
This variable describes the occupation skill level of persons. It has been created based on the ANZSCO - Australian and New Zealand Standard Classification of Occupations, 2021 and represents the 2021 Australian update. |
Parent indicator |
This variable records the usually resident parent in a family household. It identifies parents of children in family households, provided the parent and child were counted in the same family on Census Night, or reported as temporarily absent on Census Night. |
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People with or working towards a non-school qualification |
This variable indicates whether a person has a non-school qualification, is working towards a non-school qualification or both. This is derived from Census measures of Non-school qualifications: level of education (QALLP) and Type of educational institution attending (TYPP). |
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Rent affordability indicator |
This variable indicates the number of households where rent payments were 'less than or equal to 30%' or 'More than 30%' of an imputed household income. |
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Spouse/partner indicator |
This variable records the usually resident husband, wife or de facto partner in a couple family. It identifies the spouse or partner of each family reference person counted in the same family on Census Night or reported as temporarily absent on Census Night. The couple may be in a registered or de facto marriage. |
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Total family income (administrative data) (weekly) |
FINAF | This variable is the sum of Total personal income (administrative data) (weekly) (INCAP) of each family member aged 15 years or older who was present in the household on Census Night. This excludes families where one or more family members aged 15 years and over did not have income information available in administrative data or was absent from the dwelling on Census Night. |
Total family income as available (administrative data) (weekly) |
FIAASF | This variable is the sum of Total personal income (administrative data) (weekly) (INCAP) of each family member aged 15 years or older who was present in the household on Census Night. This includes families where one or more family members did not have income information available in administrative data or was absent from the dwelling on Census Night. |
Total household income (administrative data) (weekly) |
HINAD | This variable is the sum of Total personal income (administrative data) (weekly) (INCAP) of each resident aged 15 years or older who was present in the household on Census Night. This excludes households where one or more resident did not have income information available in administrative data or was absent from the dwelling on Census Night. |
Total household income as available (administrative data) (weekly) |
HIAASD | This variable is the sum of Total personal income (administrative data) (weekly) (INCAP) of each resident aged 15 years or older who was present in the household on Census Night. This includes households where one or more residents did not have income information available in administrative data or was absent from the dwelling on Census Night. |
Total personal income (administrative data) (weekly) |
INCAP | This variable indicates the total weekly income (in ranges) that a person received, based on all income recorded in administrative data for the 2020/2021 financial year. |
Type of long-term health condition |
This variable records the type of selected long-term health condition(s) a person has reported. Respondents can record multiple long-term health conditions. |
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Whether has arthritis |
This variable describes whether a person reported that they have arthritis. |
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Whether has arthritis and asthma |
This comorbidity variable describes whether a person reported having both arthritis and asthma. |
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Whether has arthritis and diabetes |
This comorbidity variable describes whether a person reported having both arthritis and diabetes (excluding gestational diabetes). |
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Whether has arthritis and heart disease |
This comorbidity variable describes whether a person reported having both arthritis and heart disease (including heart attack or angina). |
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Whether has arthritis and mental health condition |
This comorbidity variable describes whether a person reported having both arthritis and a mental health condition (including depression or anxiety). |
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Whether has asthma |
This variable describes whether a person reported that they have asthma. |
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Whether has asthma and heart disease |
This comorbidity variable describes whether a person reported having both asthma and heart disease (including heart attack or angina). |
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Whether has asthma and lung condition |
This comorbidity variable describes whether a person reported having both asthma and a lung condition (including COPD or emphysema). |
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Whether has cancer (including remission) |
Describes whether a person reported that they have cancer (including cancer that is in remission). |
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Whether has cancer and heart disease |
This comorbidity variable describes whether a person reported having both cancer (including cancer that is in remission) and heart disease (including heart attack or angina). |
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Whether has dementia (including Alzheimer's) |
This variable describes whether a person reported that they have dementia (including Alzheimer's). |
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Whether has diabetes (excluding gestational diabetes) |
This variable describes whether a person reported that they have diabetes (excluding gestational diabetes). |
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Whether has diabetes and heart disease |
This comorbidity variable describes whether a person reported having both diabetes (excluding gestational diabetes) and heart disease (including heart attack or angina). |
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Whether has diabetes and kidney disease |
This comorbidity variable describes whether a person reported having both diabetes (excluding gestational diabetes) and kidney disease. |
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Whether has had a stroke |
This variable describes whether a person reported that they have a had a stroke. |
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Whether has heart disease (including heart attack or angina) |
This variable describes whether a person reported that they have heart disease (including heart attack or angina). |
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Whether has heart disease and kidney disease |
This comorbidity variable describes whether a person reported having both diabetes (excluding gestational diabetes) and kidney disease |
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Whether has heart disease and a mental health condition |
This comorbidity variable describes whether a person reported having both heart disease (including heart attack or angina) and a mental health condition (including depression or anxiety). |
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Whether has kidney disease |
This variable describes whether a person reported that they have kidney disease. |
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Whether has a lung condition (including COPD and emphysema) |
This variable describes whether a person reported that they have a lung condition (including COPD and emphysema). |
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Whether has a lung condition and mental health condition |
This comorbidity variable describes whether a person reported having both a lung condition (including COPD or emphysema) and a mental health condition (including depression or anxiety). |
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Whether has a mental health condition (including depression or anxiety) |
This variable describes whether a person reported that they have a mental health condition (including depression or anxiety). |
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Whether has one or more long-term health condition(s) |
This variable describes whether a person reported that they have one or more long-term health conditions or whether they reported they did not have any long-term health conditions. |
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Whether has other long-term health condition(s) |
This variable describes whether a person reported that they have one or more long-term health conditions other than arthritis, asthma, cancer, dementia, diabetes, heart disease, kidney disease, a lung condition, a mental health condition or a stroke. |
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Whether reported using an Aboriginal and/or Torres Strait Islander language at home |
This variable records whether a person uses an Aboriginal or Torres Strait Islander Language at home. This is derived from the Census variable Language used at home (LANP), which is coded using the Australian Standard Classification of Languages (ASCL), 2016. |
Changed variables
Variable |
Mnemonic |
Description of change |
---|---|---|
Age |
Update to question wording: The online form has been changed to primarily ask for date of birth (DOB). If the DOB is not known the respondent is presented with a check box so that they can enter the person’s age. |
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Ancestry 1st response |
See Ancestry multi response (ANCP) for details on changes to the ancestry question and classification. |
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Ancestry 2nd response |
See Ancestry multi response (ANCP) for details on changes to the ancestry question and classification. |
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Ancestry multi response |
For 2021, Australian Standard Classification of Cultural and Ethnic Groups, 2019 (ASCCEG) was used. In 2016, the ASCCEG, 2016 was used. Norfolk Islander (code 1105), was added in the updated classification to capture an ancestry reported by Norfolk Island residents following Norfolk Island’s inclusion in the Australian Census of Population and Housing for the first time in 2016. Response categories of ‘Aboriginal’ and ‘Torres Strait Islander’ were added to the question. For people who completed the Census online and who identified as an Aboriginal and/or Torres Strait Islander person, these new response categories were displayed at the top of the list. The ‘other ancestries’ provided as examples in the instructional text have been updated. The order of the response categories has also been updated based on frequency of reporting in the 2016 Census results, with the exception of 'Australian'. As with previous censuses, 'Australian' is placed as the last option for selection (prior to the text entry boxes for 'Other ancestry/s') to encourage reporting of non-Australian ancestries where relevant. |
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Attainment of Certificate III or higher or working towards a non-school qualification |
‘Overseas visitor’ has been separated out from the @ Not applicable category, so it has its own category. |
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Attainment of Year 12 or Certificate II or higher |
‘Overseas visitor’ has been separated out from the @ Not applicable category, so it has its own category. |
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Attainment of Year 12 or Certificate III or higher |
‘Overseas visitor’ has been separated out from the @ Not applicable category, so it has its own category. |
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Australian citizenship |
The output categories have been updated to include the word 'citizen'. This aligns with the Australian Citizenship Standard. |
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Community Development Program participation | CDPP | The spelling of the variable name and categories has been updated from 'programme' to 'program'. |
Count of dependent children under 15 in family temporarily absent |
Variable name updated to add 'in family' in the title to better reflect the scope. |
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Count of dependent students (15-24 years) in family temporarily absent |
Variable name updated to add 'in family' in the title to better reflect the scope. | |
Count of non-dependent children in family temporarily absent |
Variable name updated to add 'in family' in the title to better reflect the scope. | |
Country of birth of father |
See Country of birth of person (BPLP) for details on classification changes. Instructions have been added to the country of birth of father question to provide guidance on situations where the birth parent is unknown and there is a second parent, or the person has same-sex parents. |
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Country of birth of mother |
See Country of birth of person (BPLP) for details on classification changes. Instructions have been added to the country of birth of mother question to provide guidance on situations where the birth parent is unknown and there is a second parent, or the person has same-sex parents. |
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Country of birth of person |
There have been updates to the Standard Australian Classification of Countries (SACC), 2016 since the last Census:
The response categories order has also been changed to reflect the most common answers from the 2016 Census. Although China is a country with in which a large proportion of Australia's population were born, China does not have a response category on the form. This is to allow people to write in China, Hong Kong, Macau or Taiwan. |
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Dwelling structure |
Additional categories have been added to reflect changes to the question response options to align with changes to the ABS housing standard for dwelling structure. ‘In a four or more storey block’ has been split into two categories:
There have also been changes to definitions for 'Separate house' and 'Semi-detached, row or terrace house, townhouse, etc.', removing the requirement that adjacent dwellings must be separated from one another by more than half a metre to be considered separate. |
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Educational institution: attendee status |
Code numbers have been updated to align better with the Type of educational institution attending (TYPP) variable. Category names have been updated to reflect changes to the question wording (see TYPP). Categories 61-65 have been added to capture people who stated they were attending a Tertiary institution but did not specify whether it was 'Vocational education (including TAFE and private training providers)' or 'University or other higher education'. |
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Employment flag |
‘Overseas visitor’ has been separated out from the @ Not applicable category, so it has its own category. |
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Engagement in employment, education and training |
The variable has been expanded to include a more detailed breakdown of categories at a two-digit level for 'Fully engaged' and 'Partially engaged'. This is required for several national reporting measures and allows for more complex analysis. |
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Equivalised total household income (weekly) |
An additional income range has been added to reflect changes to the personal income question response options. '$3,500 or more ($182,000 or more)' has been added. This change accounts for higher income ranges. |
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Hours worked (ranges) |
The output categories for this variable have been updated to align with the updated Standards for Labour Force Statistics, 2018. There are now more categories available. |
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Household five year mobility indicator |
Reference year has been updated for 2021 in the definition. Updated category labels to improve interpretability. In 2016 they were labelled 'changed address during the last five years' and 'over five years'. This is confusing as the question directly asks: "Where did the person usually live five years ago (at 10 August 2016)?". It does not provide information over or during five years, but a point in time. |
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Household one year mobility indicator |
Reference year has been updated for 2021 in the definition. 'Not stated' category has changed to 'At least one resident did not state an address one year ago' to better reflect the scope. |
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Labour force participation flag |
‘Overseas visitor’ has been separated out from the @ Not applicable category, so it has its own category. |
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Landlord type |
The output categories have been updated to reflect changes to the question response options and order.
Additional instructional text has been added for the 'Community housing provider' category and the response category order changed to place this category closer to the top. These changes to the category names and order of categories align with the ABS housing standards. |
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Language used at home |
The variable name has been updated from Language spoken at home to Language used at home. This reflects changes to how the language question is asked. For 2021 the question asks, 'Does the person use a language other than English at home?' This question is now more relevant for Aboriginal and Torres Strait Islander peoples. An enhancement to the online form presents a check box for Aboriginal and/or Torres Strait Islander language for those respondents who identified as Aboriginal and/or Torres Strait Islander in the Indigenous status question. To improve the data collected on Aboriginal and Torres Strait Islander languages, the person will also have the option of providing a specific language if they wish. The response categories order has changed based on the most common answers from the 2016 Census. |
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Level of highest educational attainment | HEAP | Undergraduate certificates are a new qualification and will be coded to category '420 Diploma level, nfd'. In previous censuses, nothing has been coded to this category. See also Non-school qualification: level of education (QALLP). |
Level of workforce participation survey comparison flag | SVFP |
The category label 'In scope of NIRA level of workforce participation survey comparison population' has changed to 'In scope of national reporting level of workforce participation survey comparison population'. |
Method of travel to work |
Updated category names to reflect question wording changes on the form:
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Method of travel to work (15 travel modes) |
Updated category names to reflect question wording changes on the form:
A supplementary code was added for 'Overseas visitors'. |
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Method of travel to work (6 travel modes) |
The category label 'Mode not stated' has changed to 'Not stated'. A supplementary code was added for 'Overseas visitors'. |
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Mortgage repayments (monthly) ranges |
The category range of '$2,600 to $2,999' has been split into two:
Similarly, the next category range of '$3,000 -$3,999' was divided in two:
This change increases the number of ranges to better describe the distribution of current mortgage repayments. |
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Non-school qualification: field of study |
There are minor instructional changes to the main field of study question to provide guidance for people with double degrees. |
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Non-school qualification: level of education |
Undergraduate certificates are a new qualification and have been coded to category '420 Diploma Level, nfd'. In previous Censuses, nothing has been coded to this category. The Coding index was updated for the 2021 Census. |
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Number of bedrooms in private dwelling |
The category label 'None (includes bedsitters)' has been changed to 'None (includes studio apartments or bedsitters)' to reflect changes to the question response options. |
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Number of bedrooms in private dwelling (ranges) |
The category label 'None (includes bedsitters)' has been changed to 'None (includes studio apartments or bedsitters)' to reflect changes to the question response options. |
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Number of motor vehicles |
For 2021, heavy vehicles have been specifically excluded from the definition of motor vehicles. In 2016, only motorbikes and scooters were excluded. This was changed to reflect changes to the question instructions. |
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Number of motor vehicles (ranges) |
For 2021, heavy vehicles have been specifically excluded from the definition of motor vehicles. In 2016, only motorbikes and scooters were excluded. This was changed to reflect changes to the question instructions. |
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Occupation |
In 2016 the Australian and New Zealand Classification of Occupations, 2013 (ANZSCO), version 1.2 was used. For 2021, the updated version ANZSCO version 1.3 will be used. Most changes are related to skill level however there are some title changes. See the classification for details. Amendments to improve existing targeted supplementary questions for some industry/occupation topics were made on the online form. Refer to downloads section for the targeted supplementary questions and related trigger words. |
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Occupation (six digit level) |
See Occupation (OCCP) above for details of changes to the Australian and New Zealand Classification of Occupations, 2013 (ANZSCO). |
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Place of usual residence five years ago |
Supplementary code labels have been update to better reflect the scope: These not further defined (nfd) supplementary codes are used where a respondent has given incomplete address information on the Census form, but has given enough information to allow coding to a State/Territory or Capital City. |
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Place of usual residence one year ago |
Supplementary code labels have been update to better reflect the scope: These not further defined (nfd) supplementary codes are used where a respondent has given incomplete address information on the Census form, but has given enough information to allow coding to a State/Territory or Capital City. |
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Place of usual residence |
Additional instructional text was added to the online form to assist respondents with no fixed address. |
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Proficiency in spoken English |
The variable name was changed from Proficiency in spoken English/language to Proficiency in spoken English. In 2016, there was another variable called Proficiency in spoken English (ENGP), but this has been removed for 2021 to avoid confusion between the two variables. The same data is available in this variable. |
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Registered marital status |
Registered marriages include same-sex couples and opposite-sex couples. Amendments to the Marriage Act 1961 came into effect on 9 December 2017 enabling same-sex couples to legally marry. Output categories will remain the same. |
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Relationship as reported for couples | RLCP |
Two category labels have been changed:
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Relationship in household |
Registered marriages include same-sex couples and opposite-sex couples. Amendments to the Marriage Act 1961 came into effect on 9 December 2017 enabling same-sex couples to legally marry. The category '11 Registered marriage' has been replaced with three categories:
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Religious affiliation |
The response order on the question has been changed based on common answers from the 2016 Census. Changes have been made to the ‘other’ examples given in the question instructions. |
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Rent (weekly) dollar values |
The applicability has changed so that now dwellings with the Tenure type of 'Occupied rent-free' are included in the 'Not applicable' category. This means that category '0000 Nil payments' will be removed. This change aligns with the ABS housing standards. |
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Rent (weekly) ranges |
To better reflect the distribution of data, the $450-$549 range (category 18) has been split into $25 intervals being:
The applicability has changed so that now dwellings with the Tenure type of 'Occupied rent-free' are included in the 'Not applicable' category. This means that '0 Nil payments' category will be removed. This change aligns with the ABS housing standards. |
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Same-sex couple indicator |
For 2021 this will now include same-sex marriages. Amendments to the Marriage Act 1961 came into effect on 9 December 2017 enabling same-sex couples to legally marry. The output categories will remain the same. |
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Sex |
The 2021 Census paper form and online form both include three response options: male; female; and non-binary sex. The online form also includes an optional write in response when non-binary sex is selected. For data releases, the ABS will continue to report sex with the binary options of male and female in most outputs. Analysis of non-binary sex responses will be reported in a feature article. |
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Social marital status |
Registered marriages include same-sex couples and opposite-sex couples. Amendments to the Marriage Act 1961 came into effect on 9 December 2017 enabling same-sex couples to legally marry. Processing business rules were changed, as this deals with relationships between people in the same household. |
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Tenure and landlord type |
There has been a one change to a category label and a minor order change:
There has also been a change to the scope of '9 Other tenure type' category. For 2021, 'Other tenure type' includes houses being occupied rent-free. In previous Censuses, dwellings being occupied rent-free were included in the rented categories (4, 5, 6, 7 and 8). These changes aligns with the ABS housing standards. |
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Tenure type |
Minor changes to category labels have been made.
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Total personal income (weekly) |
An additional income range has been added to reflect changes to the personal income question options. '15 $3,000 or more ($156,000) has been split into two:
This change accounts for higher income ranges. |
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Type of education institution attending |
In the online Census form, education institution is now two questions instead of one to make it easier for respondents to find the correct type of institution. The output categories have been changed to reflect the question wording changes.
Primary, secondary and tertiary not further defined fields have been added (categories 29, 39, 49) as this question is in two parts on the online form. The not further defined fields will get populated when a person only answers if they are attending an institution but does not specify the type, e.g. Catholic. In addition, to emphasise that respondents should include attendance at preschool, the question wording in the online form has changed for people in the household under the age of six. The question asks ‘Is the person attending a preschool, school or other education institution?’. |
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Unemployment flag |
Overseas visitor separated out from the @ Not applicable category, so it has its own category. |
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Unpaid assistance to a person with a disability, a long-term health condition or due to old age |
Variable name updated to better reflect the scope. In 2016, this variable was called Unpaid assistance to a person with a disability. |
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Usual address five years ago indicator |
Descriptors with years have been updated for 2021. Update to instructional text, to better capture couch surfing: |
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Usual address indicator Census night |
Categories with years have been updated for 2021. |
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Usual address one year ago indicator |
Categories with years have been updated for 2021. |
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Year of arrival in Australia |
All categories have been updated from 1900 to 2016 singly to 1905 to 2021 singly. |
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Year of arrival in Australia (ranges) |
Categories ranges have been updated, ranges used to start from 1900 and go up to 9 August 2016. For 2021 they start from 1905 and go up to 10 August 2021. |
Removed variables
Variable |
Mnemonic |
Description of change |
---|---|---|
Proficiency in spoken English |
ENGP |
Removed due to confusion with the ENGLP variable. Users can access the same data from ENGLP which has been renamed 'Proficiency in Spoken English'. |
Dwelling internet connection |
NEDD |
The question on dwelling internet connection was not asked in the 2021 Census. Consultation suggested that with the growth in internet access outside of the home on mobile and other devices and the fast pace of technological change, the collection of data on household internet access in the Census now has less relevance. |
Supported accommodation flag | SAFD | SAFD has been removed from the 2021 Census. This variable has not been released due to the sensitive nature of some supported accommodation types. |
Variables index
Mnemonic | Variable | Topic | Release | |
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ADCP | Australian Defence Force service, detailed | Service with the Australian Defence Force | June 2022 | New |
ADFP | Australian Defence Force service | Service with the Australian Defence Force | June 2022 | New |
AGE10P | Age in ten year groups | Population | June 2022 | |
AGE5P | Age in five year groups | Population | June 2022 | |
AGEP | Age | Population | June 2022 | |
ANC1P | Ancestry 1st response | Cultural diversity | June 2022 | |
ANC2P | Ancestry 2nd response | Cultural diversity | June 2022 | |
ANCP | Ancestry multi response | Cultural diversity | June 2022 | |
ANCRP | Ancestry one or two response indicator | Cultural diversity | June 2022 | New |
ASSNP | Core activity need for assistance | Disability and carers | June 2022 | |
BEDD | Number of bedrooms in private dwelling | Housing | June 2022 | |
BEDRD | Number of bedrooms in private dwelling (ranges) | Housing | June 2022 | |
BPFP | Country of birth of mother | Cultural diversity | June 2022 | |
BPLP | Country of birth of person | Cultural diversity | June 2022 | |
BPMP | Country of birth of father | Cultural diversity | June 2022 | |
BPPP | Country of birth of parents | Cultural diversity | June 2022 | |
C3SP | Attainment of certificate III or higher or working towards a non-school qualification | National reporting | October 2022 | |
CACF | Count of all children in family | Household and families | June 2022 | |
CALTHD | Count of adults (15 years and over) with selected long-term health condition(s) in household | Health | June 2022 | New |
CCLTHD | Count of children with selected long-term health condition(s) in household | Health | June 2022 | New |
CDCAF | Count of dependent children under 15 in family temporarily absent | Household and families | June 2022 | |
CDCF | Count of dependent children in family | Household and families | June 2022 | |
CDCUF | Count of dependent children under 15 in family | Household and families | June 2022 | New |
CDPP | Community Development Program participation | Income and work | October 2022 | |
CDSAF | Count of dependent students (15-24 years) in family temporarily absent | Household and families | June 2022 | |
CDSF | Count of dependent students (15-24 years) in family | Household and families | June 2022 | New |
CHCAREP | Unpaid child care | Unpaid work and care | June 2022 | |
CITP | Australian citizenship | Cultural diversity | June 2022 | |
CLTHP | Count of selected long-term health conditions | Health | June 2022 | New |
CNDAF | Count of non-dependent children in family temporarily absent | Household and families | June 2022 | |
CNDCF | Count of non-dependent children in family | Household and families | June 2022 | |
COARASP | Whether has arthritis and asthma | Health | June 2022 | New |
COARDBP | Whether has arthritis and diabetes | Health | June 2022 | New |
COARHDP | Whether has arthritis and heart disease | Health | June 2022 | New |
COARMHP | Whether has arthritis and mental health condition | Health | June 2022 | New |
COASHDP | Whether has asthma and heart disease | Health | June 2022 | New |
COASLCP | Whether has asthma and lung condition | Health | June 2022 | New |
COCNHDP | Whether has cancer and heart disease | Health | June 2022 | New |
CODBHDP | Whether has diabetes and heart disease | Health | June 2022 | New |
CODBKDP | Whether has diabetes and kidney disease | Health | June 2022 | New |
COHDKDP | Whether has heart disease and kidney disease | Health | June 2022 | New |
COHDMHP | Whether has heart disease and mental health condition | Health | June 2022 | New |
COLCMHP | Whether has lung condition and mental health condition | Health | June 2022 | New |
CPAD | Count of persons temporarily absent from household | Household and families | June 2022 | |
CPAF | Count of persons temporarily absent from family | Household and families | June 2022 | |
CPLTHD | Count of persons with selected long-term health condition(s) in household | Health | June 2022 | New |
CPLTHRD | Count of persons with selected long-term health condition(s) in household (ranges) | Health | June 2022 | New |
CPRF | Count of persons in family | Household and families | June 2022 | |
CTGP | Child type (including grandchildren) | Household and families | June 2022 | |
CTPP | Child type | Household and families | June 2022 | |
DLOD | Dwelling location | Housing | June 2022 | |
DOMP | Unpaid domestic work: number of hours | Unpaid work and care | June 2022 | |
DTWP | Distance to work (ranges) | Transport | April 2023 | |
DWIP | Dwelling type indicator for persons | Housing | April 2023 | |
DWTD | Dwelling type | Housing | June 2022 | |
EETP | Engagement in employment, education and training | Education and training | October 2022 | |
EMFP | Employment flag | National reporting | October 2022 | |
EMPP | Number of employees | Income and work | October 2022 | |
ENGLP | Proficiency in spoken English | Cultural diversity | June 2022 | |
FBLF | Family blending | Household and families | June 2022 | |
FGAF | Main type of family government benefit payment (administrative data) | Income and work | April 2023 | New |
FIAASF | Total family income as available (administrative data) (weekly) | Income and work | April 2023 | New |
FIDF | Family income derivation indicator | Income and work | June 2022 | |
FINAF | Total family income (administrative data) (weekly) | Income and work | April 2023 | New |
FINASF | Total family income as stated (weekly) | Income and work | June 2022 | |
FINF | Total family income (weekly) | Income and work | June 2022 | |
FMCF | Family composition | Household and families | June 2022 | |
FMGF | Grandparent families | Household and families | June 2022 | |
FNOF | Family number | Household and families | June 2022 | |
FPIP | Parent indicator | Household and families | June 2022 | New |
FRLF | Relationship between families | Household and families | June 2022 | |
FSAF | Main source of family income (administrative data) | Income and Work | April 2023 | New |
FTCP | Form type | Population | April 2023 | |
GNGP | Public/private sector | Income and work | October 2022 | |
HARTP | Whether has arthritis | Health | June 2022 | New |
HASTP | Whether has asthma | Health | June 2022 | New |
HCANP | Whether has cancer (including remission) | Health | June 2022 | New |
HCFMD | Family household composition (dwelling) | Household and families | June 2022 | |
HCFMF | Family household composition (family) | Household and families | June 2022 | |
HDEMP | Whether has dementia (including Alzheimer's) | Health | June 2022 | New |
HDIAP | Whether has diabetes (excluding gestational diabetes) | Health | June 2022 | New |
HEAP | Level of highest educational attainment | Education and training | October 2022 | |
HGAD | Main type of household government benefit payment (administrative data) | Income and Work | April 2023 | New |
HHCD | Household composition | Household and families | June 2022 | |
HHEDP | Whether has heart disease (including heart attack or angina) | Health | June 2022 | New |
HIAASD | Total household income as available (administrative data) (weekly) | Income and work | April 2023 | New |
HIDD | Household income derivation indicator | Income and work | June 2022 | |
HIED | Equivalised total household income (weekly) | Income and work | June 2022 | |
HINAD | Total household income (administrative data) (weekly) | Income and work | April 2023 | New |
HINASD | Total household income as stated (weekly) | Income and work | June 2022 | |
HIND | Total household income (weekly) | Income and work | June 2022 | |
HKIDP | Whether has kidney disease | Health | June 2022 | New |
HLTHP | Whether has one or more long-term health condition(s) | Health | June 2022 | New |
HLUNP | Whether has lung condition (including COPD and emphysema) | Health | June 2022 | New |
HMHCP | Whether has mental health condition (including depression or anxiety) | Health | June 2022 | New |
HOLHP | Whether has other long-term health condition(s) | Health | June 2022 | New |
HOSD | Housing suitability | Housing | June 2022 | |
HRSP | Hours worked | Income and work | October 2022 | |
HRWRP | Hours worked (ranges) | Income and work | October 2022 | |
HSAD | Main source of household income (administrative data) (weekly) | Income and work | April 2023 | New |
HSCP | Highest year of school completed | Education and training | June 2022 | |
HSTRP | Whether has had a stroke | Health | June 2022 | New |
IFAGEP | Imputation flag for age | Population | June 2022 | |
IFDTWP | Imputed distance to work | Transport | April 2023 | |
IFMSTP | Imputation flag for registered marital status | Household and families | June 2022 | |
IFNMFD | Imputation flag for number of males and females in dwelling | Household and families | June 2022 | |
IFPOWP | Imputation flag for place of work | Location | October 2022 | |
IFPURP | Imputation flag for place of usual residence | Location | June 2022 | |
IFSEXP | Imputation flag for sex | Population | June 2022 | |
IGAP | Main type of personal government benefit payment (administrative data) | Income and work | April 2023 | New |
INCAP | Total personal income (administrative data) (weekly) | Income and work | April 2023 | New |
INCP | Total personal income (weekly) | Income and work | June 2022 | |
INDP | Industry of employment | Income and work | October 2022 | |
INGDWTD | Indigenous household indicator | Aboriginal and Torres Strait Islander peoples | June 2022 | |
INGF | Aboriginal and Torres Strait Islander family indicator | Aboriginal and Torres Strait Islander peoples | June 2022 | New |
INGP | Indigenous status | Aboriginal and Torres Strait Islander peoples | June 2022 | |
ISAP | Main source of personal income (administrative data) | Income and work | April 2023 | New |
LANP | Language used at home | Cultural diversity | June 2022 | |
LFFP | Labour force participation flag | National reporting | October 2022 | |
LFHRP | Labour force status and hours worked not stated | Income and work | October 2022 | |
LFSF | Labour force status of parents/partners in families | Income and work | October 2022 | |
LFSP | Labour force status | Income and work | October 2022 | |
LLDD | Landlord type | Housing | June 2022 | |
LNGP | Whether reported using an Aboriginal and/or Torres Strait Islander language at home | Aboriginal and Torres Strait Islander peoples | June 2022 | New |
LTHP | Type of long-term health condition | Health | June 2022 | New |
MAID | Mortgage affordability indicator | Housing | June 2022 | New |
MDCP | Social marital status | Household and families | June 2022 | |
MRED | Mortgage repayments (monthly) dollar values | Housing | June 2022 | |
MRERD | Mortgage repayments (monthly) ranges | Housing | June 2022 | |
MSTP | Registered marital status | Household and families | June 2022 | |
MTW06P | Method of travel to work (6 travel modes) | Transport | October 2022 | |
MTW15P | Method of travel to work (15 travel modes) | Transport | October 2022 | |
MTWP | Method of travel to work | Transport | October 2022 | |
MV1D | Household one year mobility indicator | Location | October 2022 | |
MV5D | Household five year mobility indicator | Location | October 2022 | |
NPDD | Type of non-private dwelling | Housing | June 2022 | |
NPRD | Number of persons usually resident in dwelling | Household and families | June 2022 | |
OCCP | Occupation | Income and work | October 2022 | |
OCCEV1P | Occupation experimental update version 1 | Income and work | October 2022 | New |
OCSKP | Occupation skill level | Income and work | October 2022 | New |
OCSKEV1P | Occupation skill level experimental update version 1 | Income and work | October 2022 | New |
OPGP | Homelessness operational groups | Housing | April 2023 | |
POWP | Place of work | Location | October 2022 | |
PUR1P | Place of usual residence one year ago | Location | October 2022 | |
PUR5P | Place of usual residence five years ago | Location | October 2022 | |
PURP | Place of usual residence | Location | June 2022 | |
QALFP | Non-school qualification: field of study | Education and training | October 2022 | |
QALLP | Non-school qualification: level of education | Education and training | October 2022 | |
RAID | Rent affordability indicator | Housing | June 2022 | New |
RELP | Religious affiliation | Cultural diversity | June 2022 | |
RLCP | Relationship as reported for couples | Household and families | June 2022 | |
RLGP | Relationship in household (including grandchildren) | Household and families | June 2022 | |
RLHP | Relationship in household | Household and families | June 2022 | |
RLNP | Residential status in a non-private dwelling | Housing | June 2022 | |
RNTD | Rent (weekly) dollar values | Housing | June 2022 | |
RNTRD | Rent (weekly) ranges | Housing | June 2022 | |
RPIP | Family/household reference person indicator | Household and families | June 2022 | |
SEXP | Sex | Population | June 2022 | |
SIEMP | Status in employment | Income and work | October 2022 | |
SLPP | Sex of lone parent | Household and families | June 2022 | |
SPIP | Spouse/partner indicator | Household and families | June 2022 | New |
SPLF | Location of spouse | Household and families | June 2022 | |
SSCF | Same-sex couple indicator | Household and families | June 2022 | |
STRD | Dwelling structure | Housing | June 2022 | |
STUP | Full-time/part-time student status | Education and training | June 2022 | |
SVFP | Level of workforce participation survey comparison flag | National reporting | October 2022 | |
TEND | Tenure type | Housing | June 2022 | |
TENLLD | Tenure and landlord type | Housing | June 2022 | |
TISP | Number of children ever born | Population | June 2022 | |
TISRP | Number of children ever born (ranges) | Population | June 2022 | |
TYPP | Type of educational institution attending | Education and training | June 2022 | |
TYSTAP | Educational institution: attendee status | Education and training | June 2022 | |
UAI1P | Usual address one year ago indicator | Location | October 2022 | |
UAI5P | Usual address five years ago Indicator | Location | October 2022 | |
UAICP | Usual address indicator Census night | Location | June 2022 | |
UEFP | Unemployment flag | National reporting | October 2022 | |
UNCAREP | Unpaid assistance to a person with a disability, health condition, or due to old age | Disability and carers | June 2022 | |
VEHD | Number of motor vehicles | Transport | June 2022 | |
VEHRD | Number of motor vehicles (ranges) | Transport | June 2022 | |
VOLWP | Voluntary work for an organisation or group | Unpaid work and care | June 2022 | |
WTNSQP | People with or working towards a non-school qualification | National reporting | October 2022 | New |
YARP | Year of arrival in Australia | Cultural diversity | June 2022 | |
YARRP | Year of arrival in Australia (ranges) | Cultural diversity | June 2022 | |
YR12C2P | Attainment of year 12 or certificate II or higher | National reporting | October 2022 | |
YR12C3P | Attainment of year 12 or certificate III or higher | National reporting | October 2022 |
Variables by topic
Aboriginal and Torres Strait Islander peoples
Cultural diversity
Mnemonic | Variable | Release | |
---|---|---|---|
ANC1P | Ancestry 1st response | June 2022 | |
ANC2P | Ancestry 2nd response | June 2022 | |
ANCP | Ancestry multi response | June 2022 | |
ANCRP | Ancestry one or two response indicator | June 2022 | |
BPFP | Country of birth of mother | June 2022 | |
BPLP | Country of birth of person | June 2022 | |
BPMP | Country of birth of father | June 2022 | |
BPPP | Country of birth of parents | June 2022 | |
CITP | Australian citizenship | June 2022 | |
ENGLP | Proficiency in spoken English | June 2022 | |
LANP | Language used at home | June 2022 | |
RELP | Religious affiliation | June 2022 | |
YARP | Year of arrival in Australia | June 2022 | |
YARRP | Year of arrival in Australia (ranges) | June 2022 |
Education and training
Mnemonic | Variable | Release | |
---|---|---|---|
EETP | Engagement in employment, education and training | October 2022 | |
HEAP | Level of highest educational attainment | October 2022 | |
HSCP | Highest year of school completed | June 2022 | |
QALFP | Non-school qualification: field of study | October 2022 | |
QALLP | Non-school qualification: level of education | October 2022 | |
STUP | Full-time/part-time student status | June 2022 | |
TYPP | Type of educational institution attending | June 2022 | |
TYSTAP | Educational institution: attendee status | June 2022 |
Health
Mnemonic | Variable | Release | |
---|---|---|---|
CALTHD | Count of adults (15 years and over) with selected long-term health condition(s) in household | June 2022 | New |
CCLTHD | Count of children with selected long-term health condition(s) in household | June 2022 | New |
CLTHP | Count of selected long-term health conditions | June 2022 | New |
COARASP | Whether has arthritis and asthma | June 2022 | New |
COARDBP | Whether has arthritis and diabetes | June 2022 | New |
COARHDP | Whether has arthritis and heart disease | June 2022 | New |
COARMHP | Whether has arthritis and mental health condition | June 2022 | New |
COASHDP | Whether has asthma and heart disease | June 2022 | New |
COASLCP | Whether has asthma and lung condition | June 2022 | New |
COCNHDP | Whether has cancer and heart disease | June 2022 | New |
CODBHDP | Whether has diabetes and heart disease | June 2022 | New |
CODBKDP | Whether has diabetes and kidney disease | June 2022 | New |
COHDKDP | Whether has heart disease and kidney disease | June 2022 | New |
COHDMHP | Whether has heart disease and mental health condition | June 2022 | New |
COLCMHP | Whether has lung condition and mental health condition | June 2022 | New |
CPLTHD | Count of persons with selected long-term health condition(s) in household | June 2022 | New |
CPLTHRD | Count of persons with selected long-term health condition(s) in household (ranges) | June 2022 | New |
HARTP | Whether has arthritis | June 2022 | New |
HASTP | Whether has asthma | June 2022 | New |
HCANP | Whether has cancer (including remission) | June 2022 | New |
HDEMP | Whether has dementia (including Alzheimer's) | June 2022 | New |
HDIAP | Whether has diabetes (excluding gestational diabetes) | June 2022 | New |
HHEDP | Whether has heart disease (including heart attack or angina) | June 2022 | New |
HKIDP | Whether has kidney disease | June 2022 | New |
HLTHP | Whether has one or more long-term health condition(s) | June 2022 | New |
HLUNP | Whether has lung condition (including COPD and emphysema) | June 2022 | New |
HMHCP | Whether has mental health condition (including depression or anxiety) | June 2022 | New |
HOLHP | Whether has other long-term health condition(s) | June 2022 | New |
HSTRP | Whether has had a stroke | June 2022 | New |
LTHP | Type of long-term health condition | June 2022 | New |
Household and families
Mnemonic | Variable | Release | |
---|---|---|---|
CACF | Count of all children in family | June 2022 | |
CDCAF | Count of dependent children under 15 in family temporarily absent | June 2022 | |
CDCF | Count of dependent children in family | June 2022 | |
CDCUF | Count of dependent children under 15 in family | June 2022 | New |
CDSAF | Count of dependent students (15-24 years) in family temporarily absent | June 2022 | |
CDSF | Count of dependent students (15-24 years) in family | June 2022 | New |
CNDAF | Count of non-dependent children temporarily absent | June 2022 | |
CNDCF | Count of non-dependent children in family | June 2022 | |
CPAD | Count of persons temporarily absent from household | June 2022 | |
CPAF | Count of persons temporarily absent from family | June 2022 | |
CPRF | Count of persons in family | June 2022 | |
CTGP | Child type (including grandchildren) | June 2022 | |
CTPP | Child type | June 2022 | |
FBLF | Family blending | June 2022 | |
FMCF | Family composition | June 2022 | |
FMGF | Grandparent families | June 2022 | |
FNOF | Family number | June 2022 | |
FPIP | Parent indicator | June 2022 | New |
FRLF | Relationship between families | June 2022 | |
HCFMD | Family household composition (dwelling) | June 2022 | |
HCFMF | Family household composition (family) | June 2022 | |
HHCD | Household composition | June 2022 | |
IFMSTP | Imputation flag for registered marital status | June 2022 | |
IFNMFD | Imputation flag for number of males and females in dwelling | June 2022 | |
MDCP | Social marital status | June 2022 | |
MSTP | Registered marital status | June 2022 | |
NPRD | Number of persons usually resident in dwelling | June 2022 | |
RLCP | Relationship as reported for couples | June 2022 | |
RLGP | Relationship in household (including grandchildren) | June 2022 | |
RLHP | Relationship in household | June 2022 | |
RPIP | Family/household reference person indicator | June 2022 | |
SLPP | Sex of lone parent | June 2022 | |
SPIP | Spouse/partner indicator | June 2022 | New |
SPLF | Location of spouse | June 2022 | |
SSCF | Same-sex couple indicator | June 2022 |
Housing
Mnemonic | Variable | Release | |
---|---|---|---|
BEDD | Number of bedrooms in private dwelling | June 2022 | |
BEDRD | Number of bedrooms in private dwelling (ranges) | June 2022 | |
DLOD | Dwelling location | June 2022 | |
DWIP | Dwelling type indicator for persons | April 2023 | |
DWTD | Dwelling type | June 2022 | |
HOSD | Housing suitability | June 2022 | |
LLDD | Landlord type | June 2022 | |
MAID | Mortgage affordability indicator | June 2022 | New |
MRED | Mortgage repayments (monthly) dollar values | June 2022 | |
MRERD | Mortgage repayments (monthly) ranges | June 2022 | |
NPDD | Type of non-private dwelling | June 2022 | |
OPGP | Homelessness operational groups | April 2023 | |
RAID | Rent affordability indicator | June 2022 | New |
RLNP | Residential status in a non-private dwelling | June 2022 | |
RNTD | Rent (weekly) dollar values | June 2022 | |
RNTRD | Rent (weekly) ranges | June 2022 | |
STRD | Dwelling structure | June 2022 | |
TEND | Tenure type | June 2022 | |
TENLLD | Tenure and landlord type | June 2022 |
Income and work
Mnemonic | Variable | Release | |
---|---|---|---|
CDPP | Community Development Program participation | October 2022 | |
EMPP | Number of employees | October 2022 | |
FGAF | Main type of family government benefit payment (administrative data) | April 2023 | New |
FIAASF | Total family income as available (administrative data) (weekly) | April 2023 | New |
FIDF | Family income derivation indicator | June 2022 | |
FINASF | Total family income as stated (weekly) | June 2022 | |
FINAF | Total family income (administrative data) (weekly) | April 2023 | New |
FINF | Total family income (weekly) | June 2022 | |
FSAF | Main source of family income (administrative data) | April 2023 | New |
GNGP | Public/private sector | October 2022 | |
HGAD | Main type of household government benefit payment (administrative data) | April 2023 | New |
HIAASD | Total household income as available (administrative data) (weekly) | April 2023 | New |
HIDD | Household income derivation indicator | June 2022 | |
HIED | Equivalised total household income (weekly) | June 2022 | |
HINAD | Total household income (administrative data) (weekly) | April 2023 | New |
HINASD | Total household income as stated (weekly) | June 2022 | |
HIND | Total household income (weekly) | June 2022 | |
HRSP | Hours worked | October 2022 | |
HRWRP | Hours worked (ranges) | October 2022 | |
HSAD | Main source of household income (administrative data) | April 2023 | New |
IGAP | Main type of personal government benefit payment (administrative data) | April 2023 | New |
INCAP | Total personal income (administrative data) (weekly) | April 2023 | New |
INCP | Total personal income (weekly) | June 2022 | |
INDP | Industry of employment | October 2022 | |
ISAP | Main source of personal income (administrative data) | April 2023 | New |
LFHRP | Labour force status and hours worked not stated | October 2022 | |
LFSF | Labour force status of parents/partners in families | October 2022 | |
LFSP | Labour force status | October 2022 | |
OCCP | Occupation | October 2022 | |
OCCEV1P | Occupation experimental update version 1 | October 2022 | New |
OCSKP | Occupation skill level | October 2022 | New |
OCSKEV1P | Occupation skill level experimental update version 1 | October 2022 | New |
SIEMP | Status in employment | October 2022 |
Location
Mnemonic | Variable | Release | |
---|---|---|---|
IFPOWP | Imputation flag for place of work | October 2022 | |
IFPURP | Imputation flag for place of usual residence | June 2022 | |
MV1D | Household one year mobility indicator | October 2022 | |
MV5D | Household five year mobility indicator | October 2022 | |
POWP | Place of work | October 2022 | |
PUR1P | Place of usual residence one year ago | October 2022 | |
PUR5P | Place of usual residence five years ago | October 2022 | |
PURP | Place of usual residence | June 2022 | |
UAI1P | Usual address one year ago indicator | October 2022 | |
UAI5P | Usual address five years ago indicator | October 2022 | |
UAICP | Usual address indicator Census night | June 2022 |
Population
Mnemonic | Variable | Release | |
---|---|---|---|
AGE10P | Age in ten year groups | June 2022 | |
AGE5P | Age in five year groups | June 2022 | |
AGEP | Age | June 2022 | |
FTCP | Form type | April 2023 | |
IFAGEP | Imputation flag for age | June 2022 | |
IFSEXP | Imputation flag for sex | June 2022 | |
SEXP | Sex | June 2022 | |
TISP | Number of children ever born | June 2022 | |
TISRP | Number of children ever born (ranges) | June 2022 |
Transport
Mnemonic | Variable | Release | |
---|---|---|---|
DTWP | Distance to work (ranges) | April 2023 | |
IFDTWP | Imputed distance to work | April 2023 | |
MTW06P | Method of travel to work (6 travel modes) | October 2022 | |
MTW15P | Method of travel to work (15 travel modes) | October 2022 | |
MTWP | Method of travel to work | October 2022 | |
VEHD | Number of motor vehicles | June 2022 | |
VEHRD | Number of motor vehicles (ranges) | June 2022 |
National reporting indicators
Mnemonic | Variable | Release | |
---|---|---|---|
C3SP | Attainment of certificate III or higher or working towards a non-school qualification | October 2022 | |
EMFP | Employment flag | October 2022 | |
LFFP | Labour force participation flag | October 2022 | |
SVFP | Level of workplace participation survey comparison flag | October 2022 | |
UEFP | Unemployment flag | October 2022 | |
WTNSQP | People with or working towards a non-school qualification | October 2022 | New |
YR12C2P | Attainment of year 12 or certificate II or higher | October 2022 | |
YR12C3P | Attainment of year 12 or certificate III or higher | October 2022 |
Supporting variables
Mnemonic | Variable | Variable Topic | Release | |
---|---|---|---|---|
AGEP | Age | Population | June 2022 | |
EETP | Engagement in employment, education and training | Education and training | October 2022 | |
HEAP | Level of highest educational attainment | Education and training | June 2022 | |
HOSD | Housing suitability | Housing | June 2022 | |
INGP | Indigenous status | Aboriginal and Torres Strait Islander peoples | June 2022 |
Aboriginal and Torres Strait Islander peoples
Indigenous household indicator (INGDWTD)
Definition
This variable indicates households which have at least one person who identified as being Aboriginal and/or Torres Strait Islander. On Census Night the person needs to have been present and a usual resident at the dwelling.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
1 | Household with Aboriginal and/or Torres Strait Islander person(s) |
2 | Other households |
@ | Not applicable |
Number of categories: 3
Not applicable (@) category comprises:
- Visitor only households
- Other non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
Is the person of Aboriginal or Torres Strait Islander origin?
Example
Example
How this variable is created
This variable is created from the Usual address indicator (UAICP) variable, Indigenous status (INGP) variable and Household composition (HHCD) variable. It is created by identifying whether at least one person in an occupied private dwelling is:
- Aboriginal and/or Torres Strait Islander
- Counted at home on Census Night.
Persons temporarily absent are excluded from this variable.
History and changes
This variable was introduced in 2011. For previous censuses, information about households with Aboriginal and/or Torres Strait Islander people was available on request. In 2016, there were some minor changes made to the wording of the output categories.
No changes have been made for 2021.
Data use considerations
Changes in Indigenous status between censuses can affect the interpretation of Census data for Aboriginal and Torres Strait Islander peoples. It is important to remember that Indigenous status is collected through self-identification and any change in how a person chooses to identify will affect the count of Aboriginal and Torres Strait Islander peoples in the Census.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form.
Related variables and glossary terms
- Indigenous status (INGP)
- Aboriginal and Torres Strait Islander family indicator (INGF)
- Usual address indicator (UAICP)
- Aboriginal and/or Torres Strait Islander
- Household
Useful links
Aboriginal and Torres Strait Islander family indicator (INGF)
Definition
This variable indicates families with at least one person who identified as Aboriginal and/or Torres Strait Islander origin, who is a usual resident in the dwelling, and was at home on Census Night.
Scope
Families in family households
Categories
Code | Category |
---|---|
1 | Family with Aboriginal and/or Torres Strait Islander person(s) |
2 | Other families |
& | Not stated |
@ | Not applicable |
Number of categories: 4
Not applicable (@) category comprises:
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
Is the person of Aboriginal or Torres Strait Islander origin?
Example
Example
How this variable is created
This variable is created from Usual address indicator (UAICP), Indigenous status (INGP) and Family composition (FMCF). It is created by identifying whether at least one person in a family is:
- Aboriginal and/or Torres Strait Islander
- Counted at home on Census Night.
Persons temporarily absent are excluded from this variable.
History and changes
This variable is new for the 2021 Census. In previous censuses information about families was only available on request.
Data use considerations
Changes between censuses can affect the interpretation of Aboriginal and Torres Strait Islander peoples data. It is important to remember that this variable is collected through self-identification and any change in identification will affect the count of Aboriginal and Torres Strait Islander peoples.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form.
- Family composition (FMCF)
- Indigenous status (INGP)
- Indigenous household indicator (INGDWTD)
- Aboriginal and/or Torres Strait Islander
- Family
Indigenous status (INGP)
Definition
This variable records the response of persons who identified themselves as being of Australian Aboriginal and/or Torres Strait Islander origin in the Census.
Scope
All persons
Categories
Code | Category |
---|---|
1 | Non-Indigenous |
2 | Aboriginal |
3 | Torres Strait Islander |
4 | Both Aboriginal and Torres Strait Islander |
& | Not stated |
V | Overseas visitor |
Number of categories: 6
See Understanding supplementary codes for more information.
Question(s) from the Census form
Is the person of Aboriginal or Torres Strait Islander origin?
Example
Example
How this variable is created
Responses are captured automatically from mark box responses on the form, so the risk of processing error is minimised. Where respondents identify as both Aboriginal and Torres Strait Islander, they are instructed to mark both the 'Yes, Aboriginal' and 'Yes, Torres Strait Islander' boxes. In cases where a respondent marked both ‘No’ and ‘Yes’ boxes, their Indigenous Status is set to ‘Not stated’.
In Australia, the method for collecting information about indigenous status is through self-identification. The ABS Standard Indigenous question is used in all ABS data collections. It is also used across a wide range of government agencies and Australian Aboriginal and Torres Strait Islander organisations. For more information please see the Indigenous Status Standard, 2014, Version 1.5.
The term Aboriginal and Torres Strait Islander 'origin' is used in the 2021 Census question. When used in the context of the ABS Standard Indigenous question it relates to a person's Australian Aboriginal and/or Torres Strait Islander descent and for some, but not all, their cultural identity.
Torres Strait Islander peoples come from the islands of the Torres Strait, between the tip of Cape York and Papua New Guinea.
History and changes
Indigenous status data is available from the 1971 Census onwards. A question on origin has been asked in every Census. However, prior to the 1971 Census, Aboriginal peoples were counted in order to exclude them from population estimates for each state and territory.
The 1967 Referendum changed section 127 of the Constitution to allow Aboriginal people to be included in official Census population counts. The 1971 and 1976 censuses asked each person's racial origin. Since the 1981 Census the word 'racial' has been dropped from the question. The 1996 Census was the first Census to allow people's origins to be recorded as both Aboriginal and Torres Strait Islander, prior to this only one or the other could be recorded.
No changes have been made for 2021.
Data use considerations
Changes in Indigenous status between censuses can affect the interpretation of Census data for Aboriginal and Torres Strait Islander peoples. It is important to remember that Indigenous status is collected through self-identification and any change in how a person chooses to identify will affect the count of Aboriginal and Torres Strait Islander peoples in the Census.
The non-response rate for Indigenous status (INGP) was 4.9% in 2021. This is a decrease from 6.0% in 2016.
Related variables and glossary terms
- Indigenous household indicator (INGDWTD)
- Aboriginal and Torres Strait Islander family indicator (INGF)
- Aboriginal and/or Torres Strait Islander
- Ethnicity
Whether reported using an Aboriginal and/or Torres Strait Islander language at home (LNGP)
Definition
This variable indicates whether a person reports using an Aboriginal and/or Torres Strait Islander language at home.
Scope
All persons
Categories
Code | Category |
---|---|
1 | Aboriginal and/or Torres Strait Islander language used at home |
2 | Aboriginal and/or Torres Strait Islander language not used at home |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Does the person use a language other than English at home?
Additional options - Aboriginal and/or Torres Strait Islander language
Example
More information
How this variable is created
This variable is derived from the Census variable Language used at home (LANP), which is coded using the Australian Standard Classification of Languages (ASCL), 2016.
This variable defines a speaker of Aboriginal and Torres Strait Islander language as a person who reported using a language that was coded to ASCL broad group 8 – Australian Indigenous languages.
History and changes
This variable is new for the 2021 Census. Prior to this, data was obtained manually from the Language used at home (LANP) variable.
Additional instructional text was added to the Census form regarding Aboriginal and/or Torres Strait Islander languages and stated, 'Include use of Aboriginal or Torres Strait Islander languages in the ‘please specify’ option.
An enhancement to the online form presented a check box for Aboriginal and/or Torres Strait Islander language for those respondents who identified as Aboriginal and/or Torres Strait Islander in the Indigenous status question. To improve the data collected on Aboriginal and Torres Strait Islander languages, these respondents also had the option to provide a specific language in the ‘please specify’ box if they wished.
Additional instructions were added to the Interviewer Household Form question to improve the reporting of specific Aboriginal and Torres Strait Islander languages. The Interviewer Household Form is used in Aboriginal and Torres Strait Islander communities. Additional instructions included:
- Where possible, write the full name of the language
- If the person speaks Creole, where possible provide more information. For example: Cape York Creole, Broome Kriol, Yumplatok (Torres Strait Creole).
Data use considerations
The Main language used at home Census question is designed to find out which languages other than English are spoken by people at home. This question only allows for one answer and therefore the number of responses shown in the category ‘Speaker of an Aboriginal and Torres Strait Islander language’ is not all persons who speak an Aboriginal and Torres Strait Islander language.
Whether reported using an Aboriginal and/or Torres Strait Islander language at home (LNGP) is derived from Language used at home (LANP). The non-response rate for Language used at home (LANP) was 5.7% in 2021. This is a decrease from 6.5% in 2016.
Related variables and glossary terms
- Language used at home (LANP)
- Aboriginal and/or Torres Strait Islander
- Interviewer Household Form
Cultural diversity
Mnemonic | Variable | Release | |
---|---|---|---|
ANC1P | Ancestry 1st response | June 2022 | |
ANC2P | Ancestry 2nd response | June 2022 | |
ANCP | Ancestry multi response | June 2022 | |
ANCRP | Ancestry one or two response indicator | June 2022 | New |
BPFP | Country of birth of mother | June 2022 | |
BPLP | Country of birth of person | June 2022 | |
BPMP | Country of birth of father | June 2022 | |
BPPP | Country of birth of parents | June 2022 | |
CITP | Australian citizenship | June 2022 | |
ENGLP | Proficiency in spoken English | June 2022 | |
LANP | Language used at home | June 2022 | |
RELP | Religious affiliation | June 2022 | |
YARP | Year of arrival in Australia | June 2022 | |
YARRP | Year of arrival in Australia (ranges) | June 2022 |
Ancestry 1st response (ANC1P)
Scope
All persons
Categories
Ancestry is coded using the Australian Standard Classification of Cultural and Ethnic Groups (ASCCEG), 2019. The categories are listed in groups below. The full list is available from the Data downloads on this page.
1 Oceanian
1 | OCEANIAN | ||
10 | Oceanian, nfd | ||
1000 | Oceanian, nfd | ||
11 | Australian Peoples | ||
1100 | Australian Peoples, nfd | ||
1101 | Australian | ||
1102 | Australian Aboriginal | ||
1103 | Australian South Sea Islander | ||
1104 | Torres Strait Islander | ||
1105 | Norfolk Islander | ||
12 | New Zealand Peoples | ||
1200 | New Zealand Peoples, nfd | ||
1201 | Maori | ||
1202 | New Zealander | ||
13 | Melanesian and Papuan | ||
1300 | Melanesian and Papuan, nfd | ||
1301 | New Caledonian | ||
1302 | Ni-Vanuatu | ||
1303 | Papua New Guinean | ||
1304 | Solomon Islander | ||
1399 | Melanesian and Papuan, nec | ||
14 | Micronesian | ||
1400 | Micronesian, nfd | ||
1401 | I-Kiribati | ||
1402 | Nauruan | ||
1499 | Micronesian, nec | ||
15 | Polynesian | ||
1500 | Polynesian, nfd | ||
1501 | Cook Islander | ||
1502 | Fijian | ||
1503 | Niuean | ||
1504 | Samoan | ||
1505 | Tongan | ||
1506 | Hawaiian | ||
1507 | Tahitian | ||
1508 | Tokelauan | ||
1511 | Tuvaluan | ||
1512 | Pitcairn | ||
1599 | Polynesian, nec |
2 North-West European
2 | NORTH-WEST EUROPEAN | ||
20 | North-West European, nfd | ||
2000 | North-West European, nfd | ||
21 | British | ||
2100 | British, nfd | ||
2101 | English | ||
2102 | Scottish | ||
2103 | Welsh | ||
2104 | Channel Islander | ||
2105 | Manx | ||
2199 | British, nec | ||
22 | Irish | ||
2201 | Irish | ||
23 | Western European | ||
2300 | Western European, nfd | ||
2301 | Austrian | ||
2303 | Dutch | ||
2304 | Flemish | ||
2305 | French | ||
2306 | German | ||
2307 | Swiss | ||
2311 | Belgian | ||
2312 | Frisian | ||
2313 | Luxembourg | ||
2399 | Western European, nec | ||
24 | Northern European | ||
2400 | Northern European, nfd | ||
2401 | Danish | ||
2402 | Finnish | ||
2403 | Icelandic | ||
2404 | Norwegian | ||
2405 | Swedish | ||
2499 | Northern European, nec |
3 Southern and Eastern European
3 | SOUTHERN AND EASTERN EUROPEAN | ||
30 | Southern and Eastern European, nfd | ||
3000 | Southern and Eastern European, nfd | ||
31 | Southern European | ||
3100 | Southern European, nfd | ||
3101 | Basque | ||
3102 | Catalan | ||
3103 | Italian | ||
3104 | Maltese | ||
3105 | Portuguese | ||
3106 | Spanish | ||
3107 | Gibraltarian | ||
3199 | Southern European, nec | ||
32 | South Eastern European | ||
3200 | South Eastern European, nfd | ||
3201 | Albanian | ||
3202 | Bosnian | ||
3203 | Bulgarian | ||
3204 | Croatian | ||
3205 | Greek | ||
3206 | Macedonian | ||
3207 | Moldovan | ||
3208 | Montenegrin | ||
3211 | Romanian | ||
3212 | Roma Gypsy | ||
3213 | Serbian | ||
3214 | Slovene | ||
3215 | Cypriot | ||
3216 | Vlach | ||
3299 | South Eastern European, nec | ||
33 | Eastern European | ||
3300 | Eastern European, nfd | ||
3301 | Belarusan | ||
3302 | Czech | ||
3303 | Estonian | ||
3304 | Hungarian | ||
3305 | Latvian | ||
3306 | Lithuanian | ||
3307 | Polish | ||
3308 | Russian | ||
3311 | Slovak | ||
3312 | Ukrainian | ||
3313 | Sorb/Wend | ||
3399 | Eastern European, nec |
4 North-African and Middle Eastern
4 | NORTH AFRICAN AND MIDDLE EASTERN | ||
40 | North African and Middle Eastern, nfd | ||
4000 | North African and Middle Eastern, nfd | ||
41 | Arab | ||
4100 | Arab, nfd | ||
4101 | Algerian | ||
4102 | Egyptian | ||
4103 | Iraqi | ||
4104 | Jordanian | ||
4105 | Kuwaiti | ||
4106 | Lebanese | ||
4107 | Libyan | ||
4108 | Moroccan | ||
4111 | Palestinian | ||
4112 | Saudi Arabian | ||
4113 | Syrian | ||
4114 | Tunisian | ||
4115 | Yemeni | ||
4116 | Bahraini | ||
4117 | Emirati | ||
4118 | Omani | ||
4121 | Qatari | ||
4199 | Arab, nec | ||
42 | Jewish | ||
4201 | Jewish | ||
43 | Peoples of the Sudan | ||
4300 | Peoples of the Sudan, nfd | ||
4301 | Bari | ||
4302 | Darfur | ||
4303 | Dinka | ||
4304 | Nuer | ||
4305 | South Sudanese | ||
4306 | Sudanese | ||
4399 | Peoples of the Sudan, nec | ||
49 | Other North African and Middle Eastern | ||
4900 | Other North African and Middle Eastern, nfd | ||
4902 | Berber | ||
4903 | Coptic | ||
4904 | Iranian | ||
4905 | Kurdish | ||
4907 | Turkish | ||
4908 | Assyrian | ||
4911 | Chaldean | ||
4912 | Mandaean | ||
4913 | Nubian | ||
4914 | Yezidi | ||
4999 | Other North African and Middle Eastern, nec |
5 South-East Asian
5 | SOUTH-EAST ASIAN | ||
50 | South-East Asian, nfd | ||
5000 | South-East Asian, nfd | ||
51 | Mainland South-East Asian | ||
5100 | Mainland South-East Asian, nfd | ||
5101 | Anglo-Burmese | ||
5102 | Burmese | ||
5103 | Hmong | ||
5104 | Khmer (Cambodian) | ||
5105 | Lao | ||
5106 | Thai | ||
5107 | Vietnamese | ||
5108 | Karen | ||
5111 | Mon | ||
5112 | Chin | ||
5113 | Rohingya | ||
5199 | Mainland South-East Asian, nec | ||
52 | Maritime South-East Asian | ||
5200 | Maritime South-East Asian, nfd | ||
5201 | Filipino | ||
5202 | Indonesian | ||
5203 | Javanese | ||
5204 | Madurese | ||
5205 | Malay | ||
5206 | Sundanese | ||
5207 | Timorese | ||
5208 | Acehnese | ||
5211 | Balinese | ||
5212 | Bruneian | ||
5213 | Kadazan | ||
5214 | Singaporean | ||
5215 | Temoq | ||
5299 | Maritime South-East Asian, nec |
6 North-East Asian
6 | NORTH-EAST ASIAN | ||
60 | North-East Asian, nfd | ||
6000 | North-East Asian, nfd | ||
61 | Chinese Asian | ||
6100 | Chinese Asian, nfd | ||
6101 | Chinese | ||
6102 | Taiwanese | ||
6199 | Chinese Asian, nec | ||
69 | Other North-East Asian | ||
6900 | Other North-East Asian, nfd | ||
6901 | Japanese | ||
6902 | Korean | ||
6903 | Mongolian | ||
6904 | Tibetan | ||
6999 | Other North-East Asian, nec |
7 Southern and Central Asian
7 | SOUTHERN AND CENTRAL ASIAN | ||
70 | Southern and Central Asian, nfd | ||
7000 | Southern and Central Asian, nfd | ||
71 | Southern Asian | ||
7100 | Southern Asian, nfd | ||
7101 | Anglo-Indian | ||
7102 | Bengali | ||
7103 | Burgher | ||
7104 | Gujarati | ||
7106 | Indian | ||
7107 | Malayali | ||
7111 | Nepalese | ||
7112 | Pakistani | ||
7113 | Punjabi | ||
7114 | Sikh | ||
7115 | Sinhalese | ||
7117 | Maldivian | ||
7118 | Bangladeshi | ||
7121 | Bhutanese | ||
7122 | Fijian Indian | ||
7123 | Kashmiri | ||
7124 | Parsi | ||
7125 | Sindhi | ||
7126 | Sri Lankan | ||
7127 | Sri Lankan Tamil | ||
7128 | Indian Tamil | ||
7131 | Tamil, nfd | ||
7132 | Telugu | ||
7199 | Southern Asian, nec | ||
72 | Central Asian | ||
7200 | Central Asian, nfd | ||
7201 | Afghan | ||
7202 | Armenian | ||
7203 | Georgian | ||
7204 | Kazakh | ||
7205 | Pathan | ||
7206 | Uzbek | ||
7207 | Azeri | ||
7208 | Hazara | ||
7211 | Tajik | ||
7212 | Tatar | ||
7213 | Turkmen | ||
7214 | Uighur | ||
7215 | Kyrgyz | ||
7299 | Central Asian, nec |
8 Peoples of the Americas
8 | PEOPLES OF THE AMERICAS | ||
80 | Peoples of the Americas, nfd | ||
8000 | Peoples of the Americas, nfd | ||
81 | North American | ||
8100 | North American, nfd | ||
8101 | African American | ||
8102 | American | ||
8103 | Canadian | ||
8104 | French Canadian | ||
8105 | Hispanic North American | ||
8106 | Native North American Indian | ||
8107 | Bermudan | ||
8199 | North American, nec | ||
82 | South American | ||
8200 | South American, nfd | ||
8201 | Argentinian | ||
8202 | Bolivian | ||
8203 | Brazilian | ||
8204 | Chilean | ||
8205 | Colombian | ||
8206 | Ecuadorian | ||
8207 | Guyanese | ||
8208 | Peruvian | ||
8211 | Uruguayan | ||
8212 | Venezuelan | ||
8213 | Paraguayan | ||
8299 | South American, nec | ||
83 | Central American | ||
8300 | Central American, nfd | ||
8301 | Mexican | ||
8302 | Nicaraguan | ||
8303 | Salvadoran | ||
8304 | Costa Rican | ||
8305 | Guatemalan | ||
8306 | Mayan | ||
8399 | Central American, nec | ||
84 | Caribbean Islander | ||
8400 | Caribbean Islander, nfd | ||
8401 | Cuban | ||
8402 | Jamaican | ||
8403 | Trinidadian Tobagonian | ||
8404 | Barbadian | ||
8405 | Puerto Rican | ||
8499 | Caribbean Islander, nec |
9 Sub-Saharan African
9 | SUB-SAHARAN AFRICAN | ||
90 | Sub-Saharan African, nfd | ||
9000 | Sub-Saharan African, nfd | ||
91 | Central and West African | ||
9100 | Central and West African, nfd | ||
9101 | Akan | ||
9102 | Fulani | ||
9103 | Ghanaian | ||
9104 | Nigerian | ||
9105 | Yoruba | ||
9106 | Ivorean | ||
9107 | Liberian | ||
9108 | Sierra Leonean | ||
9111 | Acholi | ||
9112 | Cameroonian | ||
9113 | Congolese | ||
9114 | Gio | ||
9115 | Igbo | ||
9116 | Krahn | ||
9117 | Mandinka | ||
9118 | Senegalese | ||
9121 | Themne | ||
9122 | Togolese | ||
9199 | Central and West African, nec | ||
92 | Southern and East African | ||
9200 | Southern and East African, nfd | ||
9201 | Afrikaner | ||
9202 | Angolan | ||
9203 | Eritrean | ||
9204 | Ethiopian | ||
9205 | Kenyan | ||
9206 | Malawian | ||
9207 | Mauritian | ||
9208 | Mozambican | ||
9211 | Namibian | ||
9212 | Oromo | ||
9213 | Seychellois | ||
9214 | Somali | ||
9215 | South African | ||
9216 | Tanzanian | ||
9217 | Ugandan | ||
9218 | Zambian | ||
9221 | Zimbabwean | ||
9222 | Amhara | ||
9223 | Batswana | ||
9225 | Hutu | ||
9226 | Masai | ||
9228 | Tigrayan | ||
9231 | Tigre | ||
9232 | Zulu | ||
9233 | Burundian | ||
9234 | Kunama | ||
9235 | Madi | ||
9236 | Ogaden | ||
9237 | Rwandan | ||
9238 | Shona | ||
9241 | Swahili | ||
9242 | Swazilander | ||
9299 | Southern and East African, nec |
Supplementary codes
0 | SUPPLEMENTARY CODES | ||
00 | Inadequately described | ||
0000 | Inadequately described | ||
09 | So described, nfd | ||
0901 | Eurasian, so described | ||
0902 | Asian, so described | ||
0903 | African, so described | ||
0904 | European, so described | ||
0905 | Caucasian, so described | ||
0906 | Creole, so described | ||
& | Not stated | ||
&& | Not stated | ||
&&&& | Not stated | ||
V | Overseas visitor | ||
VV | Overseas visitor | ||
VVVV | Overseas visitor |
Number of categories:
- One-digit level: 12
- Two-digit level: 41
- Four-digit level: 321
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the person’s ancestry?
More information
How this variable is created
The three ancestry variables are created from responses to the ancestry question on the Census form. The allocation of ancestries to the variables ANC1P and ANC2P are administrative only and based on the order in which the responses are processed. These two ancestry variables (ANC1P and ANC2P) are combined into one variable, ANCP.
Respondents can select their ancestry by using the mark boxes, and/or the write in response boxes. The most common ancestry responses from the 2016 Census are the mark box options on the 2021 Census form, with the addition of separate Aboriginal and Torres Strait Islander mark boxes. Most responses for ancestry are captured in the mark box responses, but overall, the following scenarios apply.
Written responses are first coded using a combination of automatic reading and coding. The remaining responses require manual coding.
History and changes
Ancestry was first included as a question in the 1986 Census. The aim of the question was to measure the ethnic composition of the population, but it did not perform as expected for this purpose as there was a high level of subjectivity and lack of clarity about what the question meant. Consequently, ancestry was not included in either the 1991 or 1996 Censuses.
In 2001, the question was asked again with instructions to 'Provide more than one ancestry if necessary', and to consider their parents, grandparents, and great grandparents.
For the 2006 and 2011 Censuses, respondents were asked to mark the ancestries they most closely identified with and to consider their ancestry back as far as two generations (i.e. their parents and grandparents). Respondents were asked to report at least one ancestry, but no more than two ancestries.
For the 2016 Census the format of the ancestry question was revised to provide two distinct text response areas for separate written ancestry responses. This change aimed to clarify responses and improve autocoding rates.
The 2021 Census includes mark boxes for both Aboriginal and Torres Strait Islander ancestries. It is expected these additional mark boxes will result in less people checking the ‘Australian’ mark box, and instead choosing to specify Aboriginal or Torres Strait Islander ancestries. For people completing the Census online and who identify as an Aboriginal and/or Torres Strait Islander person, the new response categories were presented at the top of the list.
For 2021, the order of the response categories has been updated based on frequency of reporting in the 2016 Census:
- ‘Italian’ moved from 3rd position to 5th position
- ‘German’ moved from 5th position to 6th position
- ‘Chinese’ moved from 6th position to 4th position
As with previous Censuses, 'Australian' is placed as the last option for selection - prior to the text entry boxes for 'Other ancestry/s' - to encourage reporting of non-Australian ancestries where relevant.
For 2021, the other examples in the instructional text were updated.
For 2021, Norfolk Islander (code 1105) has been added in the updated classification to capture an ancestry reported by Norfolk Island residents following Norfolk Island’s inclusion in the Australian Census of Population and Housing for the first time in 2016.
Data use considerations
Ancestry can be related to the place a person or their parents or grandparents were born or the cultural group they most identify with. For example, a person may have been born in Australia, but they have Papua New Guinean ancestry. This helps us understand our diverse culture.
To accurately understand ancestry data, both ancestry variables (ANC1P and ANC2P) must be used. There are two ancestry variables because Census respondents are able to report up to two ancestries in their response to the question on ancestry. Respondents do not have the option of ranking their answers to the ancestry question, so where a respondent reports two ancestries, they have equal standing. The basis for allocating ancestries to the variables ANC1P and ANC2P is based on the order in which they are processed. These two ancestry variables (ANC1P and ANC2P) are combined into one variable ANCP.
The non-response rate for Ancestry 1st response (ANC1P) was 6.2% in 2021. This is a decrease from 7.0% in 2016.
Ethnicity
The ancestry variables provide a self-assessed measure of ethnicity and cultural background, which, when used in conjunction with the person’s and their parents' countries of birth provides a good indication of the ethnic background of first and second generation Australians. Ancestry in the Australian context is complex as there are many Australians with origins and heritage that do not, in practice, relate to their current ethnic identity. When ancestry data is used alone, it should only be done to represent a broad measure of cultural diversity. Ancestry is particularly useful to identify distinct ethnic or cultural groups within Australia such as Maoris or Australian South Sea Islanders, and groups which are spread across countries such as Kurds. Surrogate measures of ethnicity such as country of birth or languages other than English spoken at home, alone cannot identify these groups. This information is useful in developing policies which reflect the needs of our society and for the effective delivery of services to particular ethnic communities.
Ancestry multi response - counting people or responses
When ANCP is added to a table and all the individual ancestries are summed together, a total count of responses, not people, is produced. This is because each person can provide up to two ancestries. So the total count of responses for all ancestries in Australia exceeds Australia’s total population. However, when using ANCP to look at individual ancestries, the count of responses is also the count of people. This is because respondents can only state a particular ancestry once (either as ANC1P or ANC2P).
Measurement issues
The ancestry question records all claims of association with ancestries, ethnic origins and cultures. Whilst some people may respond according to how they may identify with a particular cultural group (subjectively), the intent of the question is to capture the cultural context in which they were raised (objectively). Multiple responses are encouraged. Responses to the ancestry question are coded to the ASCCEG. The classification is not intended to classify people, but rather all claims of association with an ethnic origin or cultural group, i.e. one ancestry response is not equal to one person. Many people do not relate to a single ethnic origin or cultural group and will give multiple responses to a question on ancestry, ethnicity or cultural identity. The ABS has developed guidelines for the coding, storage and presentation of multiple responses to questions on ancestry, ethnicity or cultural identity data. These guidelines are included in the ASCCEG publication.
Data downloads
Ancestry first response classification
Ancestry 2nd response (ANC2P)
Scope
All persons
Categories
Ancestry is coded using the Australian Standard Classification of Cultural and Ethnic Groups (ASCCEG), 2019. The categories are listed in groups below. The full list is available from the Data downloads on this page.
1 Oceanian
1 | OCEANIAN | ||
10 | Oceanian, nfd | ||
1000 | Oceanian, nfd | ||
11 | Australian Peoples | ||
1100 | Australian Peoples, nfd | ||
1101 | Australian | ||
1102 | Australian Aboriginal | ||
1103 | Australian South Sea Islander | ||
1104 | Torres Strait Islander | ||
1105 | Norfolk Islander | ||
12 | New Zealand Peoples | ||
1200 | New Zealand Peoples, nfd | ||
1201 | Maori | ||
1202 | New Zealander | ||
13 | Melanesian and Papuan | ||
1300 | Melanesian and Papuan, nfd | ||
1301 | New Caledonian | ||
1302 | Ni-Vanuatu | ||
1303 | Papua New Guinean | ||
1304 | Solomon Islander | ||
1399 | Melanesian and Papuan, nec | ||
14 | Micronesian | ||
1400 | Micronesian, nfd | ||
1401 | I-Kiribati | ||
1402 | Nauruan | ||
1499 | Micronesian, nec | ||
15 | Polynesian | ||
1500 | Polynesian, nfd | ||
1501 | Cook Islander | ||
1502 | Fijian | ||
1503 | Niuean | ||
1504 | Samoan | ||
1505 | Tongan | ||
1506 | Hawaiian | ||
1507 | Tahitian | ||
1508 | Tokelauan | ||
1511 | Tuvaluan | ||
1512 | Pitcairn | ||
1599 | Polynesian, nec |
2 North-West European
2 | NORTH-WEST EUROPEAN | ||
20 | North-West European, nfd | ||
2000 | North-West European, nfd | ||
21 | British | ||
2100 | British, nfd | ||
2101 | English | ||
2102 | Scottish | ||
2103 | Welsh | ||
2104 | Channel Islander | ||
2105 | Manx | ||
2199 | British, nec | ||
22 | Irish | ||
2201 | Irish | ||
23 | Western European | ||
2300 | Western European, nfd | ||
2301 | Austrian | ||
2303 | Dutch | ||
2304 | Flemish | ||
2305 | French | ||
2306 | German | ||
2307 | Swiss | ||
2311 | Belgian | ||
2312 | Frisian | ||
2313 | Luxembourg | ||
2399 | Western European, nec | ||
24 | Northern European | ||
2400 | Northern European, nfd | ||
2401 | Danish | ||
2402 | Finnish | ||
2403 | Icelandic | ||
2404 | Norwegian | ||
2405 | Swedish | ||
2499 | Northern European, nec |
3 Southern and Eastern European
3 | SOUTHERN AND EASTERN EUROPEAN | ||
30 | Southern and Eastern European, nfd | ||
3000 | Southern and Eastern European, nfd | ||
31 | Southern European | ||
3100 | Southern European, nfd | ||
3101 | Basque | ||
3102 | Catalan | ||
3103 | Italian | ||
3104 | Maltese | ||
3105 | Portuguese | ||
3106 | Spanish | ||
3107 | Gibraltarian | ||
3199 | Southern European, nec | ||
32 | South Eastern European | ||
3200 | South Eastern European, nfd | ||
3201 | Albanian | ||
3202 | Bosnian | ||
3203 | Bulgarian | ||
3204 | Croatian | ||
3205 | Greek | ||
3206 | Macedonian | ||
3207 | Moldovan | ||
3208 | Montenegrin | ||
3211 | Romanian | ||
3212 | Roma Gypsy | ||
3213 | Serbian | ||
3214 | Slovene | ||
3215 | Cypriot | ||
3216 | Vlach | ||
3299 | South Eastern European, nec | ||
33 | Eastern European | ||
3300 | Eastern European, nfd | ||
3301 | Belarusan | ||
3302 | Czech | ||
3303 | Estonian | ||
3304 | Hungarian | ||
3305 | Latvian | ||
3306 | Lithuanian | ||
3307 | Polish | ||
3308 | Russian | ||
3311 | Slovak | ||
3312 | Ukrainian | ||
3313 | Sorb/Wend | ||
3399 | Eastern European, nec |
4 North-African and Middle Eastern
4 | NORTH AFRICAN AND MIDDLE EASTERN | ||
40 | North African and Middle Eastern, nfd | ||
4000 | North African and Middle Eastern, nfd | ||
41 | Arab | ||
4100 | Arab, nfd | ||
4101 | Algerian | ||
4102 | Egyptian | ||
4103 | Iraqi | ||
4104 | Jordanian | ||
4105 | Kuwaiti | ||
4106 | Lebanese | ||
4107 | Libyan | ||
4108 | Moroccan | ||
4111 | Palestinian | ||
4112 | Saudi Arabian | ||
4113 | Syrian | ||
4114 | Tunisian | ||
4115 | Yemeni | ||
4116 | Bahraini | ||
4117 | Emirati | ||
4118 | Omani | ||
4121 | Qatari | ||
4199 | Arab, nec | ||
42 | Jewish | ||
4201 | Jewish | ||
43 | Peoples of the Sudan | ||
4300 | Peoples of the Sudan, nfd | ||
4301 | Bari | ||
4302 | Darfur | ||
4303 | Dinka | ||
4304 | Nuer | ||
4305 | South Sudanese | ||
4306 | Sudanese | ||
4399 | Peoples of the Sudan, nec | ||
49 | Other North African and Middle Eastern | ||
4900 | Other North African and Middle Eastern, nfd | ||
4902 | Berber | ||
4903 | Coptic | ||
4904 | Iranian | ||
4905 | Kurdish | ||
4907 | Turkish | ||
4908 | Assyrian | ||
4911 | Chaldean | ||
4912 | Mandaean | ||
4913 | Nubian | ||
4914 | Yezidi | ||
4999 | Other North African and Middle Eastern, nec |
5 South-East Asian
5 | SOUTH-EAST ASIAN | ||
50 | South-East Asian, nfd | ||
5000 | South-East Asian, nfd | ||
51 | Mainland South-East Asian | ||
5100 | Mainland South-East Asian, nfd | ||
5101 | Anglo-Burmese | ||
5102 | Burmese | ||
5103 | Hmong | ||
5104 | Khmer (Cambodian) | ||
5105 | Lao | ||
5106 | Thai | ||
5107 | Vietnamese | ||
5108 | Karen | ||
5111 | Mon | ||
5112 | Chin | ||
5113 | Rohingya | ||
5199 | Mainland South-East Asian, nec | ||
52 | Maritime South-East Asian | ||
5200 | Maritime South-East Asian, nfd | ||
5201 | Filipino | ||
5202 | Indonesian | ||
5203 | Javanese | ||
5204 | Madurese | ||
5205 | Malay | ||
5206 | Sundanese | ||
5207 | Timorese | ||
5208 | Acehnese | ||
5211 | Balinese | ||
5212 | Bruneian | ||
5213 | Kadazan | ||
5214 | Singaporean | ||
5215 | Temoq | ||
5299 | Maritime South-East Asian, nec |
6 North-East Asian
6 | NORTH-EAST ASIAN | ||
60 | North-East Asian, nfd | ||
6000 | North-East Asian, nfd | ||
61 | Chinese Asian | ||
6100 | Chinese Asian, nfd | ||
6101 | Chinese | ||
6102 | Taiwanese | ||
6199 | Chinese Asian, nec | ||
69 | Other North-East Asian | ||
6900 | Other North-East Asian, nfd | ||
6901 | Japanese | ||
6902 | Korean | ||
6903 | Mongolian | ||
6904 | Tibetan | ||
6999 | Other North-East Asian, nec |
7 Southern and Central Asian
7 | SOUTHERN AND CENTRAL ASIAN | ||
70 | Southern and Central Asian, nfd | ||
7000 | Southern and Central Asian, nfd | ||
71 | Southern Asian | ||
7100 | Southern Asian, nfd | ||
7101 | Anglo-Indian | ||
7102 | Bengali | ||
7103 | Burgher | ||
7104 | Gujarati | ||
7106 | Indian | ||
7107 | Malayali | ||
7111 | Nepalese | ||
7112 | Pakistani | ||
7113 | Punjabi | ||
7114 | Sikh | ||
7115 | Sinhalese | ||
7117 | Maldivian | ||
7118 | Bangladeshi | ||
7121 | Bhutanese | ||
7122 | Fijian Indian | ||
7123 | Kashmiri | ||
7124 | Parsi | ||
7125 | Sindhi | ||
7126 | Sri Lankan | ||
7127 | Sri Lankan Tamil | ||
7128 | Indian Tamil | ||
7131 | Tamil, nfd | ||
7132 | Telugu | ||
7199 | Southern Asian, nec | ||
72 | Central Asian | ||
7200 | Central Asian, nfd | ||
7201 | Afghan | ||
7202 | Armenian | ||
7203 | Georgian | ||
7204 | Kazakh | ||
7205 | Pathan | ||
7206 | Uzbek | ||
7207 | Azeri | ||
7208 | Hazara | ||
7211 | Tajik | ||
7212 | Tatar | ||
7213 | Turkmen | ||
7214 | Uighur | ||
7215 | Kyrgyz | ||
7299 | Central Asian, nec |
8 Peoples of the Americas
8 | PEOPLES OF THE AMERICAS | ||
80 | Peoples of the Americas, nfd | ||
8000 | Peoples of the Americas, nfd | ||
81 | North American | ||
8100 | North American, nfd | ||
8101 | African American | ||
8102 | American | ||
8103 | Canadian | ||
8104 | French Canadian | ||
8105 | Hispanic North American | ||
8106 | Native North American Indian | ||
8107 | Bermudan | ||
8199 | North American, nec | ||
82 | South American | ||
8200 | South American, nfd | ||
8201 | Argentinian | ||
8202 | Bolivian | ||
8203 | Brazilian | ||
8204 | Chilean | ||
8205 | Colombian | ||
8206 | Ecuadorian | ||
8207 | Guyanese | ||
8208 | Peruvian | ||
8211 | Uruguayan | ||
8212 | Venezuelan | ||
8213 | Paraguayan | ||
8299 | South American, nec | ||
83 | Central American | ||
8300 | Central American, nfd | ||
8301 | Mexican | ||
8302 | Nicaraguan | ||
8303 | Salvadoran | ||
8304 | Costa Rican | ||
8305 | Guatemalan | ||
8306 | Mayan | ||
8399 | Central American, nec | ||
84 | Caribbean Islander | ||
8400 | Caribbean Islander, nfd | ||
8401 | Cuban | ||
8402 | Jamaican | ||
8403 | Trinidadian Tobagonian | ||
8404 | Barbadian | ||
8405 | Puerto Rican | ||
8499 | Caribbean Islander, nec |
9 Sub-Saharan African
9 | SUB-SAHARAN AFRICAN | ||
90 | Sub-Saharan African, nfd | ||
9000 | Sub-Saharan African, nfd | ||
91 | Central and West African | ||
9100 | Central and West African, nfd | ||
9101 | Akan | ||
9102 | Fulani | ||
9103 | Ghanaian | ||
9104 | Nigerian | ||
9105 | Yoruba | ||
9106 | Ivorean | ||
9107 | Liberian | ||
9108 | Sierra Leonean | ||
9111 | Acholi | ||
9112 | Cameroonian | ||
9113 | Congolese | ||
9114 | Gio | ||
9115 | Igbo | ||
9116 | Krahn | ||
9117 | Mandinka | ||
9118 | Senegalese | ||
9121 | Themne | ||
9122 | Togolese | ||
9199 | Central and West African, nec | ||
92 | Southern and East African | ||
9200 | Southern and East African, nfd | ||
9201 | Afrikaner | ||
9202 | Angolan | ||
9203 | Eritrean | ||
9204 | Ethiopian | ||
9205 | Kenyan | ||
9206 | Malawian | ||
9207 | Mauritian | ||
9208 | Mozambican | ||
9211 | Namibian | ||
9212 | Oromo | ||
9213 | Seychellois | ||
9214 | Somali | ||
9215 | South African | ||
9216 | Tanzanian | ||
9217 | Ugandan | ||
9218 | Zambian | ||
9221 | Zimbabwean | ||
9222 | Amhara | ||
9223 | Batswana | ||
9225 | Hutu | ||
9226 | Masai | ||
9228 | Tigrayan | ||
9231 | Tigre | ||
9232 | Zulu | ||
9233 | Burundian | ||
9234 | Kunama | ||
9235 | Madi | ||
9236 | Ogaden | ||
9237 | Rwandan | ||
9238 | Shona | ||
9241 | Swahili | ||
9242 | Swazilander | ||
9299 | Southern and East African, nec |
Supplementary codes
0 | SUPPLEMENTARY CODES | ||
00 | Inadequately described | ||
0000 | Inadequately described | ||
09 | So described, nfd | ||
0901 | Eurasian, so described | ||
0902 | Asian, so described | ||
0903 | African, so described | ||
0904 | European, so described | ||
0905 | Caucasian, so described | ||
0906 | Creole, so described | ||
@ | Not applicable | ||
@@ | Not applicable | ||
@@@@ | Not applicable | ||
V | Overseas visitor | ||
VV | Overseas visitor | ||
VVVV | Overseas visitor |
Not applicable (@@@@) comprises:
- Persons who provided a first ancestry but did not provide a second
- ANC1P not stated
ANC2P does not have a ‘Not stated’ category. People who did not answer the ancestry question are included in ‘Not applicable’.
Number of categories:
- One-digit level: 12
- Two-digit level: 41
- Four-digit level: 321
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the person’s ancestry?
More information
How this variable is created
This variable is created from responses to the ancestry question on the Census form. The allocation of ancestries is administrative only and based on the order in which the responses are processed.
Respondents can select their ancestry by using the mark boxes, and/or the write in response boxes. The most common ancestry responses from the 2016 Census are the mark box options on the 2021 Census form, with the addition of separate Aboriginal and Torres Strait Islander mark boxes. Most responses for ancestry are captured in the mark box responses, but overall, the following scenarios apply:
- Written responses are first coded using a combination of automatic reading and coding. The remaining responses require manual coding.
- Where respondents report more than two ancestries, only two are processed.
- Where only one ancestry was provided, ANC2P is recorded as ‘Not applicable’.
- Ancestry is coded using the ASCCEG. If a response is not listed in the classification, it is coded to 'Inadequately described'.
History and changes
Ancestry was first included as a question in the 1986 Census. The aim of the question was to measure the ethnic composition of the population, but it did not perform as expected for this purpose as there was a high level of subjectivity and lack of clarity about what the question meant. Consequently, ancestry was not included in either the 1991 or 1996 censuses.
In 2001, the question was asked again with instructions to 'Provide more than one ancestry if necessary', and to consider their parents, grandparents, and great grandparents.
For the 2006 and 2011 censuses, respondents were asked to mark the ancestries they most closely identified with and to consider their ancestry back as far as two generations (i.e. their parents and grandparents). Respondents were asked to report at least one ancestry, but no more than two ancestries.
For the 2016 Census the format of the ancestry question was revised to provide two distinct text response areas for separate written ancestry responses. This change aimed to clarify responses and improve autocoding rates.
The 2021 Census includes mark boxes for both Aboriginal and Torres Strait Islander ancestries. It is expected these additional mark boxes will result in less people checking the ‘Australian’ mark box, and instead choosing to specify Aboriginal or Torres Strait Islander ancestries. For people completing the Census online and who identify as an Aboriginal and/or Torres Strait Islander person, these new response categories will be displayed at the top of the list.
For 2021, the order of the response categories has been updated based on frequency of reporting in the 2016 Census:
- ‘Italian’ moved from 3rd position to 5th position
- ‘German’ moved from 5th position to 6th position
- ‘Chinese’ moved from 6th position to 4th position
As with previous censuses, 'Australian' is placed as the last option for selection (prior to the text entry boxes for 'Other ancestry/s') to encourage reporting of non-Australian ancestries where relevant.
For 2021, the other examples in the instructional text were updated.
For 2021, Norfolk Islander (code 1105) has been added in the updated classification to capture an ancestry reported by Norfolk Island residents following Norfolk Island’s inclusion in the Australian Census of Population and Housing for the first time in 2016.
Data use considerations
Ancestry can be related to the place a person or their parents or grandparents were born or the cultural group they most identify with. For example, a person may have been born in Australia, but they have Papua New Guinean ancestry. This helps us understand our diverse culture.
To accurately understand ancestry data, both ancestry variables (ANC1P and ANC2P) must be used. There are two ancestry variables because Census respondents are able to report up to two ancestries in their response to the question on ancestry. Respondents do not have the option of ranking their answers to the ancestry question, so where a respondent reports two ancestries, they have equal standing. The basis for allocating ancestries to the variables ANC1P and ANC2P is based on the order in which they are processed. These two ancestry variables (ANC1P and ANC2P) are combined into one variable, ANCP.
The item non-response rate for the Ancestry question was 6.2% in 2021. This is a decrease from 7.0% in 2016.
Ethnicity
The ancestry variables provide a self-assessed measure of ethnicity and cultural background, which, when used in conjunction with the person’s and their parents' countries of birth provides a good indication of the ethnic background of first and second generation Australians. Ancestry in the Australian context is complex as there are many Australians with origins and heritage that do not, in practice, relate to their current ethnic identity. When ancestry data is used alone, it should only be done to represent a broad measure of cultural diversity. Ancestry is particularly useful to identify distinct ethnic or cultural groups within Australia such as Maoris or Australian South Sea Islanders, and groups which are spread across countries such as Kurds. Surrogate measures of ethnicity such as country of birth or languages other than English spoken at home, alone cannot identify these groups. This information is useful in developing policies which reflect the needs of our society and for the effective delivery of services to particular ethnic communities.
Ancestry multi response - counting people or responses
When ANCP is added to a table and all the individual ancestries are summed together, a total count of responses, not people, is produced. This is because each person can provide up to two ancestries. So the total count of responses for all ancestries in Australia exceeds Australia’s total population. However, when using ANCP to look at individual ancestries, the count of responses is also the count of people. This is because respondents can only state a particular ancestry once (either as ANC1P or ANC2P).
Measurement issues
The ancestry question records all claims of association with ancestries, ethnic origins and cultures. Whilst some people may respond according to how they may identify with a particular cultural group (subjectively), the intent of the question is to capture the cultural context in which they were raised (objectively). Multiple responses are encouraged. Responses to the ancestry question are coded to the ASCCEG. The classification is not intended to classify people, but rather all claims of association with an ethnic origin or cultural group, i.e. one ancestry response is not equal to one person. Many people do not relate to a single ethnic origin or cultural group and will give multiple responses to a question on ancestry, ethnicity or cultural identity. The ABS has developed guidelines for the coding, storage and presentation of multiple responses to questions on ancestry, ethnicity or cultural identity data. These guidelines are included in the ASCCEG publication.
Data downloads
Ancestry 2nd response classification
Ancestry multi response (ANCP)
Scope
All persons
Categories
Ancestry is coded using the Australian Standard Classification of Cultural and Ethnic Groups (ASCCEG), 2019. The categories are listed in groups below. The full list is available from the Data downloads on this page.
1 Oceanian
1 | OCEANIAN | ||
10 | Oceanian, nfd | ||
1000 | Oceanian, nfd | ||
11 | Australian Peoples | ||
1100 | Australian Peoples, nfd | ||
1101 | Australian | ||
1102 | Australian Aboriginal | ||
1103 | Australian South Sea Islander | ||
1104 | Torres Strait Islander | ||
1105 | Norfolk Islander | ||
12 | New Zealand Peoples | ||
1200 | New Zealand Peoples, nfd | ||
1201 | Maori | ||
1202 | New Zealander | ||
13 | Melanesian and Papuan | ||
1300 | Melanesian and Papuan, nfd | ||
1301 | New Caledonian | ||
1302 | Ni-Vanuatu | ||
1303 | Papua New Guinean | ||
1304 | Solomon Islander | ||
1399 | Melanesian and Papuan, nec | ||
14 | Micronesian | ||
1400 | Micronesian, nfd | ||
1401 | I-Kiribati | ||
1402 | Nauruan | ||
1499 | Micronesian, nec | ||
15 | Polynesian | ||
1500 | Polynesian, nfd | ||
1501 | Cook Islander | ||
1502 | Fijian | ||
1503 | Niuean | ||
1504 | Samoan | ||
1505 | Tongan | ||
1506 | Hawaiian | ||
1507 | Tahitian | ||
1508 | Tokelauan | ||
1511 | Tuvaluan | ||
1512 | Pitcairn | ||
1599 | Polynesian, nec |
2 North-west European
2 | NORTH-WEST EUROPEAN | ||
20 | North-West European, nfd | ||
2000 | North-West European, nfd | ||
21 | British | ||
2100 | British, nfd | ||
2101 | English | ||
2102 | Scottish | ||
2103 | Welsh | ||
2104 | Channel Islander | ||
2105 | Manx | ||
2199 | British, nec | ||
22 | Irish | ||
2201 | Irish | ||
23 | Western European | ||
2300 | Western European, nfd | ||
2301 | Austrian | ||
2303 | Dutch | ||
2304 | Flemish | ||
2305 | French | ||
2306 | German | ||
2307 | Swiss | ||
2311 | Belgian | ||
2312 | Frisian | ||
2313 | Luxembourg | ||
2399 | Western European, nec | ||
24 | Northern European | ||
2400 | Northern European, nfd | ||
2401 | Danish | ||
2402 | Finnish | ||
2403 | Icelandic | ||
2404 | Norwegian | ||
2405 | Swedish | ||
2499 | Northern European, nec |
3 Southern and Eastern European
3 | SOUTHERN AND EASTERN EUROPEAN | ||
30 | Southern and Eastern European, nfd | ||
3000 | Southern and Eastern European, nfd | ||
31 | Southern European | ||
3100 | Southern European, nfd | ||
3101 | Basque | ||
3102 | Catalan | ||
3103 | Italian | ||
3104 | Maltese | ||
3105 | Portuguese | ||
3106 | Spanish | ||
3107 | Gibraltarian | ||
3199 | Southern European, nec | ||
32 | South Eastern European | ||
3200 | South Eastern European, nfd | ||
3201 | Albanian | ||
3202 | Bosnian | ||
3203 | Bulgarian | ||
3204 | Croatian | ||
3205 | Greek | ||
3206 | Macedonian | ||
3207 | Moldovan | ||
3208 | Montenegrin | ||
3211 | Romanian | ||
3212 | Roma Gypsy | ||
3213 | Serbian | ||
3214 | Slovene | ||
3215 | Cypriot | ||
3216 | Vlach | ||
3299 | South Eastern European, nec | ||
33 | Eastern European | ||
3300 | Eastern European, nfd | ||
3301 | Belarusan | ||
3302 | Czech | ||
3303 | Estonian | ||
3304 | Hungarian | ||
3305 | Latvian | ||
3306 | Lithuanian | ||
3307 | Polish | ||
3308 | Russian | ||
3311 | Slovak | ||
3312 | Ukrainian | ||
3313 | Sorb/Wend | ||
3399 | Eastern European, nec |
4 North African and Middle Eastern
4 | NORTH AFRICAN AND MIDDLE EASTERN | ||
40 | North African and Middle Eastern, nfd | ||
4000 | North African and Middle Eastern, nfd | ||
41 | Arab | ||
4100 | Arab, nfd | ||
4101 | Algerian | ||
4102 | Egyptian | ||
4103 | Iraqi | ||
4104 | Jordanian | ||
4105 | Kuwaiti | ||
4106 | Lebanese | ||
4107 | Libyan | ||
4108 | Moroccan | ||
4111 | Palestinian | ||
4112 | Saudi Arabian | ||
4113 | Syrian | ||
4114 | Tunisian | ||
4115 | Yemeni | ||
4116 | Bahraini | ||
4117 | Emirati | ||
4118 | Omani | ||
4121 | Qatari | ||
4199 | Arab, nec | ||
42 | Jewish | ||
4201 | Jewish | ||
43 | Peoples of the Sudan | ||
4300 | Peoples of the Sudan, nfd | ||
4301 | Bari | ||
4302 | Darfur | ||
4303 | Dinka | ||
4304 | Nuer | ||
4305 | South Sudanese | ||
4306 | Sudanese | ||
4399 | Peoples of the Sudan, nec | ||
49 | Other North African and Middle Eastern | ||
4900 | Other North African and Middle Eastern, nfd | ||
4902 | Berber | ||
4903 | Coptic | ||
4904 | Iranian | ||
4905 | Kurdish | ||
4907 | Turkish | ||
4908 | Assyrian | ||
4911 | Chaldean | ||
4912 | Mandaean | ||
4913 | Nubian | ||
4914 | Yezidi | ||
4999 | Other North African and Middle Eastern, nec |
5 South-East Asian
5 | SOUTH-EAST ASIAN | ||
50 | South-East Asian, nfd | ||
5000 | South-East Asian, nfd | ||
51 | Mainland South-East Asian | ||
5100 | Mainland South-East Asian, nfd | ||
5101 | Anglo-Burmese | ||
5102 | Burmese | ||
5103 | Hmong | ||
5104 | Khmer (Cambodian) | ||
5105 | Lao | ||
5106 | Thai | ||
5107 | Vietnamese | ||
5108 | Karen | ||
5111 | Mon | ||
5112 | Chin | ||
5113 | Rohingya | ||
5199 | Mainland South-East Asian, nec | ||
52 | Maritime South-East Asian | ||
5200 | Maritime South-East Asian, nfd | ||
5201 | Filipino | ||
5202 | Indonesian | ||
5203 | Javanese | ||
5204 | Madurese | ||
5205 | Malay | ||
5206 | Sundanese | ||
5207 | Timorese | ||
5208 | Acehnese | ||
5211 | Balinese | ||
5212 | Bruneian | ||
5213 | Kadazan | ||
5214 | Singaporean | ||
5215 | Temoq | ||
5299 | Maritime South-East Asian, nec |
6 North-East Asian
6 | NORTH-EAST ASIAN | ||
60 | North-East Asian, nfd | ||
6000 | North-East Asian, nfd | ||
61 | Chinese Asian | ||
6100 | Chinese Asian, nfd | ||
6101 | Chinese | ||
6102 | Taiwanese | ||
6199 | Chinese Asian, nec | ||
69 | Other North-East Asian | ||
6900 | Other North-East Asian, nfd | ||
6901 | Japanese | ||
6902 | Korean | ||
6903 | Mongolian | ||
6904 | Tibetan | ||
6999 | Other North-East Asian, nec |
7 Southern and Central Asian
7 | SOUTHERN AND CENTRAL ASIAN | ||
70 | Southern and Central Asian, nfd | ||
7000 | Southern and Central Asian, nfd | ||
71 | Southern Asian | ||
7100 | Southern Asian, nfd | ||
7101 | Anglo-Indian | ||
7102 | Bengali | ||
7103 | Burgher | ||
7104 | Gujarati | ||
7106 | Indian | ||
7107 | Malayali | ||
7111 | Nepalese | ||
7112 | Pakistani | ||
7113 | Punjabi | ||
7114 | Sikh | ||
7115 | Sinhalese | ||
7117 | Maldivian | ||
7118 | Bangladeshi | ||
7121 | Bhutanese | ||
7122 | Fijian Indian | ||
7123 | Kashmiri | ||
7124 | Parsi | ||
7125 | Sindhi | ||
7126 | Sri Lankan | ||
7127 | Sri Lankan Tamil | ||
7128 | Indian Tamil | ||
7131 | Tamil, nfd | ||
7132 | Telugu | ||
7199 | Southern Asian, nec | ||
72 | Central Asian | ||
7200 | Central Asian, nfd | ||
7201 | Afghan | ||
7202 | Armenian | ||
7203 | Georgian | ||
7204 | Kazakh | ||
7205 | Pathan | ||
7206 | Uzbek | ||
7207 | Azeri | ||
7208 | Hazara | ||
7211 | Tajik | ||
7212 | Tatar | ||
7213 | Turkmen | ||
7214 | Uighur | ||
7215 | Kyrgyz | ||
7299 | Central Asian, nec |
8 Peoples of the Americas
8 | PEOPLES OF THE AMERICAS | ||
80 | Peoples of the Americas, nfd | ||
8000 | Peoples of the Americas, nfd | ||
81 | North American | ||
8100 | North American, nfd | ||
8101 | African American | ||
8102 | American | ||
8103 | Canadian | ||
8104 | French Canadian | ||
8105 | Hispanic North American | ||
8106 | Native North American Indian | ||
8107 | Bermudan | ||
8199 | North American, nec | ||
82 | South American | ||
8200 | South American, nfd | ||
8201 | Argentinian | ||
8202 | Bolivian | ||
8203 | Brazilian | ||
8204 | Chilean | ||
8205 | Colombian | ||
8206 | Ecuadorian | ||
8207 | Guyanese | ||
8208 | Peruvian | ||
8211 | Uruguayan | ||
8212 | Venezuelan | ||
8213 | Paraguayan | ||
8299 | South American, nec | ||
83 | Central American | ||
8300 | Central American, nfd | ||
8301 | Mexican | ||
8302 | Nicaraguan | ||
8303 | Salvadoran | ||
8304 | Costa Rican | ||
8305 | Guatemalan | ||
8306 | Mayan | ||
8399 | Central American, nec | ||
84 | Caribbean Islander | ||
8400 | Caribbean Islander, nfd | ||
8401 | Cuban | ||
8402 | Jamaican | ||
8403 | Trinidadian Tobagonian | ||
8404 | Barbadian | ||
8405 | Puerto Rican | ||
8499 | Caribbean Islander, nec |
9 Sub-Saharan African
9 | SUB-SAHARAN AFRICAN | ||
90 | Sub-Saharan African, nfd | ||
9000 | Sub-Saharan African, nfd | ||
91 | Central and West African | ||
9100 | Central and West African, nfd | ||
9101 | Akan | ||
9102 | Fulani | ||
9103 | Ghanaian | ||
9104 | Nigerian | ||
9105 | Yoruba | ||
9106 | Ivorean | ||
9107 | Liberian | ||
9108 | Sierra Leonean | ||
9111 | Acholi | ||
9112 | Cameroonian | ||
9113 | Congolese | ||
9114 | Gio | ||
9115 | Igbo | ||
9116 | Krahn | ||
9117 | Mandinka | ||
9118 | Senegalese | ||
9121 | Themne | ||
9122 | Togolese | ||
9199 | Central and West African, nec | ||
92 | Southern and East African | ||
9200 | Southern and East African, nfd | ||
9201 | Afrikaner | ||
9202 | Angolan | ||
9203 | Eritrean | ||
9204 | Ethiopian | ||
9205 | Kenyan | ||
9206 | Malawian | ||
9207 | Mauritian | ||
9208 | Mozambican | ||
9211 | Namibian | ||
9212 | Oromo | ||
9213 | Seychellois | ||
9214 | Somali | ||
9215 | South African | ||
9216 | Tanzanian | ||
9217 | Ugandan | ||
9218 | Zambian | ||
9221 | Zimbabwean | ||
9222 | Amhara | ||
9223 | Batswana | ||
9225 | Hutu | ||
9226 | Masai | ||
9228 | Tigrayan | ||
9231 | Tigre | ||
9232 | Zulu | ||
9233 | Burundian | ||
9234 | Kunama | ||
9235 | Madi | ||
9236 | Ogaden | ||
9237 | Rwandan | ||
9238 | Shona | ||
9241 | Swahili | ||
9242 | Swazilander | ||
9299 | Southern and East African, nec |
Supplementary codes
0 | SUPPLEMENTARY CODES | ||
00 | Inadequately described | ||
0000 | Inadequately described | ||
09 | So described, nfd | ||
0901 | Eurasian, so described | ||
0902 | Asian, so described | ||
0903 | African, so described | ||
0904 | European, so described | ||
0905 | Caucasian, so described | ||
0906 | Creole, so described | ||
& | Not stated | ||
&& | Not stated | ||
&&&& | Not stated | ||
@ | Not applicable | ||
@@ | Not applicable | ||
@@@@ | Not applicable | ||
V | Overseas visitor | ||
VV | Overseas visitor | ||
VVVV | Overseas visitor |
Not applicable (@@@@) comprises:
- Persons who provided a first ancestry but did not provide a second
- ANC1P not stated
Number of categories:
- One-digit level: 13
- Two-digit level: 42
- Four-digit level: 323
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the person’s ancestry?
More information
How this variable is created
The three ancestry variables are created from responses to the ancestry question on the Census form. The allocation of ancestries to the variables ANC1P and ANC2P are administrative only and based on the order in which the responses are processed. These two ancestry variables (ANC1P and ANC2P) are combined into one variable, ANCP.
Respondents can select their ancestry by using the mark boxes, and/or the write in response boxes. The most common ancestry responses from the 2016 Census are the mark box options on the 2021 Census form, with the addition of separate Aboriginal and Torres Strait Islander mark boxes. Most responses for ancestry are captured in the mark box responses, but overall, the following scenarios apply:
- Written responses are first coded using a combination of automatic reading and coding. The remaining responses require manual coding.
- Where respondents report more than two ancestries, only two are processed.
- Where only one ancestry was provided, ANC2P is recorded as ‘Not applicable’.
- Ancestry is coded using the ASCCEG. If a response is not listed in the classification, it is coded to 'Inadequately described'.
History and changes
Ancestry was first included as a question in the 1986 Census. The aim of the question was to measure the ethnic composition of the population, but it did not perform as expected for this purpose as there was a high level of subjectivity and lack of clarity about what the question meant. Consequently, ancestry was not included in either the 1991 or 1996 censuses.
In 2001, the question was asked again with instructions to 'Provide more than one ancestry if necessary', and to consider their parents, grandparents, and great grandparents.
For the 2006 and 2011 censuses, respondents were asked to mark the ancestries they most closely identified with and to consider their ancestry back as far as two generations (i.e. their parents and grandparents). Respondents were asked to report at least one ancestry, but no more than two ancestries.
For the 2016 Census the format of the ancestry question was revised to provide two distinct text response areas for separate written ancestry responses. This change aimed to clarify responses and improve autocoding rates.
The 2021 Census includes mark boxes for both Aboriginal and Torres Strait Islander ancestries. It is expected these additional mark boxes will result in less people checking the ‘Australian’ mark box, and instead choosing to specify Aboriginal or Torres Strait Islander ancestries. For people completing the Census online and who identify as an Aboriginal and/or Torres Strait Islander person, these new response categories will be displayed at the top of the list.
For 2021, the order of the response categories has been updated based on frequency of reporting in the 2016 Census:
- ‘Italian’ moved from 3rd position to 5th position
- ‘German’ moved from 5th position to 6th position
- ‘Chinese’ moved from 6th position to 4th position
As with previous censuses, 'Australian' is placed as the last option for selection (prior to the text entry boxes for 'Other ancestry/s') to encourage reporting of non-Australian ancestries where relevant.
For 2021, the other examples in the instructional text were updated.
For 2021, Norfolk Islander (code 1105) has been added in the updated classification to capture an ancestry reported by Norfolk Island residents following Norfolk Island’s inclusion in the Australian Census of Population and Housing for the first time in 2016.
Data use considerations
Ancestry can be related to the place a person or their parents or grandparents were born or the cultural group they most identify with. For example, a person may have been born in Australia, but they have Papua New Guinean ancestry. This helps us understand our diverse culture.
To accurately understand ancestry data, both ancestry variables (ANC1P and ANC2P) must be used. There are two ancestry variables because Census respondents are able to report up to two ancestries in their response to the question on ancestry. Respondents do not have the option of ranking their answers to the ancestry question, so where a respondent reports two ancestries, they have equal standing. The basis for allocating ancestries to the variables ANC1P and ANC2P is based on the order in which they are processed. These two ancestry variables (ANC1P and ANC2P) are combined into one variable, ANCP.
The item non-response rate for the Ancestry question was 6.2% in 2021. This is a decrease from 7.0% in 2016.
Ethnicity
The ancestry variables provide a self-assessed measure of ethnicity and cultural background, which, when used in conjunction with the person’s and their parents' countries of birth provides a good indication of the ethnic background of first and second generation Australians. Ancestry in the Australian context is complex as there are many Australians with origins and heritage that do not, in practice, relate to their current ethnic identity. When Ancestry data is used alone, it should only be done to represent a broad measure of cultural diversity. Ancestry is particularly useful to identify distinct ethnic or cultural groups within Australia such as Maoris or Australian South Sea Islanders, and groups which are spread across countries such as Kurds. Surrogate measures of ethnicity such as country of birth or languages other than English spoken at home, alone cannot identify these groups. This information is useful in developing policies which reflect the needs of our society and for the effective delivery of services to particular ethnic communities.
Ancestry multi response - counting people or responses
When ANCP is added to a table and all the individual ancestries are summed together, a total count of responses, not people, is produced. This is because each person can provide up to two ancestries. So the total count of responses for all ancestries in Australia exceeds Australia’s total population. However, when using ANCP to look at individual ancestries, the count of responses is also the count of people. This is because respondents can only state a particular ancestry once (either as ANC1P or ANC2P).
Measurement issues
The Ancestry question records all claims of association with ancestries, ethnic origins and cultures. Whilst some people may respond according to how they may identify with a particular cultural group (subjectively), the intent of the question is to capture the cultural context in which they were raised (objectively). Multiple responses are encouraged. Responses to the ancestry question are coded to the ASCCEG. The classification is not intended to classify people, but rather all claims of association with an ethnic origin or cultural group, i.e. one ancestry response is not equal to one person. Many people do not relate to a single ethnic origin or cultural group and will give multiple responses to a question on ancestry, ethnicity or cultural identity. The ABS has developed guidelines for the coding, storage and presentation of multiple responses to questions on ancestry, ethnicity or cultural identity data. These guidelines are included in the ASCCEG publication.
Data downloads
Ancestry multi response classification
Ancestry one or two response indicator (ANCRP)
Definition
This variable indicates whether a person provided one response or two responses to the ancestry question.
Scope
All persons
Categories
Code | Category |
---|---|
1 | One response |
2 | Two responses |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the person’s ancestry?
More information
How this variable is created
This variable is derived from responses to the ancestry question. Respondents can provide up to two ancestries. When a respondent reports one ancestry they are coded to ‘One response’ and when a respondent reports two ancestries, they are coded to ‘Two responses’. Where a respondent does not answer the question, they are coded to ‘Not stated’.
History and changes
This is a new variable for 2021.
Data use considerations
This variable allows data users to understand whether a person provided one or two responses to the ancestry question.
The item non-response rate for the Ancestry question was 6.2% in 2021. This is a decrease from 7.0% in 2016.
Country of birth of mother (BPFP)
Definition
This variable indicates the country in which a person’s mother was born.
Scope
All persons
Categories
Country of birth of mother is coded using the Standard Australian Classification of Countries (SACC), 2016. The categories are listed in groups below. The full list is available from the Data downloads on this page.
1 Oceania and Antarctica
1 | Oceania and Antarctica | ||
10 | Oceania and Antarctica, nfd | ||
1000 | Oceania and Antarctica, nfd | ||
11 | Australia (includes External Territories) | ||
1100 | Australia (includes External Territories), nfd | ||
1101 | Australia | ||
1102 | Norfolk Island | ||
1199 | Australian External Territories, nec | ||
12 | New Zealand | ||
1201 | New Zealand | ||
13 | Melanesia | ||
1300 | Melanesia, nfd | ||
1301 | New Caledonia | ||
1302 | Papua New Guinea | ||
1303 | Solomon Islands | ||
1304 | Vanuatu | ||
14 | Micronesia | ||
1400 | Micronesia, nfd | ||
1401 | Guam | ||
1402 | Kiribati | ||
1403 | Marshall Islands | ||
1404 | Micronesia, Federated States of | ||
1405 | Nauru | ||
1406 | Northern Mariana Islands | ||
1407 | Palau | ||
15 | Polynesia (excludes Hawaii) | ||
1500 | Polynesia (excludes Hawaii), nfd | ||
1501 | Cook Islands | ||
1502 | Fiji | ||
1503 | French Polynesia | ||
1504 | Niue | ||
1505 | Samoa | ||
1506 | Samoa, American | ||
1507 | Tokelau | ||
1508 | Tonga | ||
1511 | Tuvalu | ||
1512 | Wallis and Futuna | ||
1513 | Pitcairn Islands | ||
1599 | Polynesia (excludes Hawaii), nec | ||
16 | Antarctica | ||
1600 | Antarctica, nfd | ||
1601 | Adelie Land (France) | ||
1602 | Argentinian Antarctic Territory | ||
1603 | Australian Antarctic Territory | ||
1604 | British Antarctic Territory | ||
1605 | Chilean Antarctic Territory | ||
1606 | Queen Maud Land (Norway) | ||
1607 | Ross Dependency (New Zealand) |
2 North-West Europe
2 | North-West Europe | ||
20 | North-West Europe, nfd | ||
2000 | North-West Europe, nfd | ||
21 | United Kingdom, Channel Islands and Isle of Man | ||
2100 | United Kingdom, Channel Islands and Isle of Man, nfd | ||
2102 | England | ||
2103 | Isle of Man | ||
2104 | Northern Ireland | ||
2105 | Scotland | ||
2106 | Wales | ||
2107 | Guernsey | ||
2108 | Jersey | ||
22 | Ireland | ||
2201 | Ireland | ||
23 | Western Europe | ||
2300 | Western Europe, nfd | ||
2301 | Austria | ||
2302 | Belgium | ||
2303 | France | ||
2304 | Germany | ||
2305 | Liechtenstein | ||
2306 | Luxembourg | ||
2307 | Monaco | ||
2308 | Netherlands | ||
2311 | Switzerland | ||
24 | Northern Europe | ||
2400 | Northern Europe, nfd | ||
2401 | Denmark | ||
2402 | Faroe Islands | ||
2403 | Finland | ||
2404 | Greenland | ||
2405 | Iceland | ||
2406 | Norway | ||
2407 | Sweden | ||
2408 | Aland Islands |
3 Southern and Eastern Europe
3 | Southern and Eastern Europe | ||
30 | Southern and Eastern Europe, nfd | ||
3000 | Southern and Eastern Europe, nfd | ||
31 | Southern Europe | ||
3100 | Southern Europe, nfd | ||
3101 | Andorra | ||
3102 | Gibraltar | ||
3103 | Holy See | ||
3104 | Italy | ||
3105 | Malta | ||
3106 | Portugal | ||
3107 | San Marino | ||
3108 | Spain | ||
32 | South Eastern Europe | ||
3200 | South Eastern Europe, nfd | ||
3201 | Albania | ||
3202 | Bosnia and Herzegovina | ||
3203 | Bulgaria | ||
3204 | Croatia | ||
3205 | Cyprus | ||
3206 | North Macedonia | ||
3207 | Greece | ||
3208 | Moldova | ||
3211 | Romania | ||
3212 | Slovenia | ||
3214 | Montenegro | ||
3215 | Serbia | ||
3216 | Kosovo | ||
33 | Eastern Europe | ||
3300 | Eastern Europe, nfd | ||
3301 | Belarus | ||
3302 | Czechia | ||
3303 | Estonia | ||
3304 | Hungary | ||
3305 | Latvia | ||
3306 | Lithuania | ||
3307 | Poland | ||
3308 | Russian Federation | ||
3311 | Slovakia | ||
3312 | Ukraine |
4 North Africa and the Middle East
4 | North Africa and the Middle East | ||
40 | North Africa and the Middle East, nfd | ||
4000 | North Africa and the Middle East, nfd | ||
41 | North Africa | ||
4100 | North Africa, nfd | ||
4101 | Algeria | ||
4102 | Egypt | ||
4103 | Libya | ||
4104 | Morocco | ||
4105 | Sudan | ||
4106 | Tunisia | ||
4107 | Western Sahara | ||
4108 | Spanish North Africa | ||
4111 | South Sudan | ||
42 | Middle East | ||
4200 | Middle East, nfd | ||
4201 | Bahrain | ||
4202 | Gaza Strip and West Bank | ||
4203 | Iran | ||
4204 | Iraq | ||
4205 | Israel | ||
4206 | Jordan | ||
4207 | Kuwait | ||
4208 | Lebanon | ||
4211 | Oman | ||
4212 | Qatar | ||
4213 | Saudi Arabia | ||
4214 | Syria | ||
4215 | Turkey | ||
4216 | United Arab Emirates | ||
4217 | Yemen |
5 South-East Asia
5 | South-East Asia | ||
50 | South-East Asia, nfd | ||
5000 | South-East Asia, nfd | ||
51 | Mainland South-East Asia | ||
5100 | Mainland South-East Asia, nfd | ||
5101 | Myanmar | ||
5102 | Cambodia | ||
5103 | Laos | ||
5104 | Thailand | ||
5105 | Vietnam | ||
52 | Maritime South-East Asia | ||
5200 | Maritime South-East Asia, nfd | ||
5201 | Brunei Darussalam | ||
5202 | Indonesia | ||
5203 | Malaysia | ||
5204 | Philippines | ||
5205 | Singapore | ||
5206 | Timor-Leste |
6 North-East Asia
6 | North-East Asia | ||
60 | North-East Asia, nfd | ||
6000 | North-East Asia, nfd | ||
61 | Chinese Asia (includes Mongolia) | ||
6100 | Chinese Asia (includes Mongolia), nfd | ||
6101 | China (excludes SARs and Taiwan) | ||
6102 | Hong Kong (SAR of China) | ||
6103 | Macau (SAR of China) | ||
6104 | Mongolia | ||
6105 | Taiwan | ||
62 | Japan and the Koreas | ||
6200 | Japan and the Koreas, nfd | ||
6201 | Japan | ||
6202 | Korea, Democratic People's Republic of (North) | ||
6203 | Korea, Republic of (South) |
7 Southern and Central Asia
7 | Southern and Central Asia | ||
70 | Southern and Central Asia, nfd | ||
7000 | Southern and Central Asia, nfd | ||
71 | Southern Asia | ||
7100 | Southern Asia, nfd | ||
7101 | Bangladesh | ||
7102 | Bhutan | ||
7103 | India | ||
7104 | Maldives | ||
7105 | Nepal | ||
7106 | Pakistan | ||
7107 | Sri Lanka | ||
72 | Central Asia | ||
7200 | Central Asia, nfd | ||
7201 | Afghanistan | ||
7202 | Armenia | ||
7203 | Azerbaijan | ||
7204 | Georgia | ||
7205 | Kazakhstan | ||
7206 | Kyrgyzstan | ||
7207 | Tajikistan | ||
7208 | Turkmenistan | ||
7211 | Uzbekistan |
8 Americas
8 | Americas | ||
80 | Americas, nfd | ||
8000 | Americas, nfd | ||
81 | Northern America | ||
8100 | Northern America, nfd | ||
8101 | Bermuda | ||
8102 | Canada | ||
8103 | St Pierre and Miquelon | ||
8104 | United States of America | ||
82 | South America | ||
8200 | South America, nfd | ||
8201 | Argentina | ||
8202 | Bolivia | ||
8203 | Brazil | ||
8204 | Chile | ||
8205 | Colombia | ||
8206 | Ecuador | ||
8207 | Falkland Islands | ||
8208 | French Guiana | ||
8211 | Guyana | ||
8212 | Paraguay | ||
8213 | Peru | ||
8214 | Suriname | ||
8215 | Uruguay | ||
8216 | Venezuela | ||
8299 | South America, nec | ||
83 | Central America | ||
8300 | Central America, nfd | ||
8301 | Belize | ||
8302 | Costa Rica | ||
8303 | El Salvador | ||
8304 | Guatemala | ||
8305 | Honduras | ||
8306 | Mexico | ||
8307 | Nicaragua | ||
8308 | Panama | ||
84 | Caribbean | ||
8400 | Caribbean, nfd | ||
8401 | Anguilla | ||
8402 | Antigua and Barbuda | ||
8403 | Aruba | ||
8404 | Bahamas | ||
8405 | Barbados | ||
8406 | Cayman Islands | ||
8407 | Cuba | ||
8408 | Dominica | ||
8411 | Dominican Republic | ||
8412 | Grenada | ||
8413 | Guadeloupe | ||
8414 | Haiti | ||
8415 | Jamaica | ||
8416 | Martinique | ||
8417 | Montserrat | ||
8421 | Puerto Rico | ||
8422 | St Kitts and Nevis | ||
8423 | St Lucia | ||
8424 | St Vincent and the Grenadines | ||
8425 | Trinidad and Tobago | ||
8426 | Turks and Caicos Islands | ||
8427 | Virgin Islands, British | ||
8428 | Virgin Islands, United States | ||
8431 | St Barthelemy | ||
8432 | St Martin (French part) | ||
8433 | Bonaire, Sint Eustatius and Saba | ||
8434 | Curacao | ||
8435 | Sint Maarten (Dutch part) |
9 Sub-Saharan Africa
9 | Sub-Saharan Africa | ||
90 | Sub-Saharan Africa, nfd | ||
9000 | Sub-Saharan Africa, nfd | ||
91 | Central and West Africa | ||
9100 | Central and West Africa, nfd | ||
9101 | Benin | ||
9102 | Burkina Faso | ||
9103 | Cameroon | ||
9104 | Cabo Verde | ||
9105 | Central African Republic | ||
9106 | Chad | ||
9107 | Congo, Republic of | ||
9108 | Congo, Democratic Republic of | ||
9111 | Cote d'Ivoire | ||
9112 | Equatorial Guinea | ||
9113 | Gabon | ||
9114 | Gambia | ||
9115 | Ghana | ||
9116 | Guinea | ||
9117 | Guinea-Bissau | ||
9118 | Liberia | ||
9121 | Mali | ||
9122 | Mauritania | ||
9123 | Niger | ||
9124 | Nigeria | ||
9125 | Sao Tome and Principe | ||
9126 | Senegal | ||
9127 | Sierra Leone | ||
9128 | Togo | ||
92 | Southern and East Africa | ||
9200 | Southern and East Africa, nfd | ||
9201 | Angola | ||
9202 | Botswana | ||
9203 | Burundi | ||
9204 | Comoros | ||
9205 | Djibouti | ||
9206 | Eritrea | ||
9207 | Ethiopia | ||
9208 | Kenya | ||
9211 | Lesotho | ||
9212 | Madagascar | ||
9213 | Malawi | ||
9214 | Mauritius | ||
9215 | Mayotte | ||
9216 | Mozambique | ||
9217 | Namibia | ||
9218 | Reunion | ||
9221 | Rwanda | ||
9222 | St Helena | ||
9223 | Seychelles | ||
9224 | Somalia | ||
9225 | South Africa | ||
9226 | Eswatini | ||
9227 | Tanzania | ||
9228 | Uganda | ||
9231 | Zambia | ||
9232 | Zimbabwe | ||
9299 | Southern and East Africa, nec |
Supplementary Codes
0 | Supplementary codes | ||
00 | Supplementary codes | ||
0000 | Inadequately described | ||
0001 | At sea | ||
& | Not stated | ||
&& | Not stated | ||
&&&& | Not stated | ||
V | Overseas visitor | ||
VV | Overseas visitor | ||
VVVV | Overseas visitor |
Number of categories:
- One-digit level: 12
- Two-digit level: 39
- Four-digit level: 293
See Understanding supplementary codes for more information.
Question(s) from the Census form
In which country was the person’s mother born?
How this variable is created
Country of birth of mother (BPFP) is a person variable that is created based on the response to country of birth of mother question. On the paper form, respondents may either use a mark box to indicate Australia or write the name of any other country in the text field. On the online form, the question uses a combination of mark boxes for the most frequent responses expected, accompanied by a text field to capture all other responses. The options are ordered based on the relative number of responses received in the 2016 Census.
Any typed country of birth response will also appear as an option for that person’s country of birth of mother.
The majority of responses for country of birth of person are captured automatically from the mark box response. Written responses are coded using a combination of automatic reading and coding processes. The remaining responses require manual coding processes when they cannot be coded or derived automatically.
If a person:
- uses a former country name, it is coded to the current country name (for example, Siam would be coded to Thailand)
- has marked Australia and given a text response, the responses are accepted in the order they appear on the form and the extra response is rejected
- does not answer the question, and a mother has been identified for the family unit on the same Census form, then the mother’s birthplace is coded as the mother’s country of birth, for that respondent.
BPFP is coded using the SACC. If a response is not listed in the classification, it is coded to 'Inadequately described'.
History and changes
A question relating to BPFP was first asked in the 1921 Census, but not included again until 1971 and has been included in all Australian censuses from 1971.
Prior to the 2001 Census, respondents were asked to write in their mother's birthplace as a text response.
From 2001 to 2011, the question was simplified to a simple mark box with two options for either Australia or Overseas. This was done following the introduction of a question on a person's ancestry.
For the 2016 Census, the question format was changed to again allow respondents to provide details for the country of birth of their mother where it was not Australia. Respondents were asked to use a mark box to respond for Australia, or a text field to specify any other country.
For the first time, the 2021 Census included instructions to provide guidance on situations where the birth parent is unknown and there is a second parent, or the person has same-sex parents.
There have been changes to the SACC for 2021:
- 3302 'Czech Republic' has been changed to 'Czechia'
- 9226 'Swaziland' has been changed to 'Eswatini'
- 3206 'Former Yugoslav Republic of Macedonia' has been changed to 'North Macedonia'
- 2402 spelling of 'Faeroe Islands' has been changed to 'Faroe Islands'
Data use considerations
Related variables and glossary terms
- Country of birth of person (BPLP)
- Country of birth of father (BPMP)
- Country of birth of parents (BPPP)
- Ancestry multi response (ANCP)
- Derivation
- Imputation
Data downloads
Country of birth of mother classification
Country of birth of person (BPLP)
Definition
This variable indicates in which country a person was born.
Scope
All persons
Categories
Country of birth of person is coded using the Standard Australian Classification of Countries (SACC), 2016. The categories are listed in groups below. The full list is available from the Data downloads on this page.
1 Oceania and Antarctica
1 | Oceania and Antarctica | ||
10 | Oceania and Antarctica, nfd | ||
1000 | Oceania and Antarctica, nfd | ||
11 | Australia (includes External Territories) | ||
1100 | Australia (includes External Territories), nfd | ||
1101 | Australia | ||
1102 | Norfolk Island | ||
1199 | Australian External Territories, nec | ||
12 | New Zealand | ||
1201 | New Zealand | ||
13 | Melanesia | ||
1300 | Melanesia, nfd | ||
1301 | New Caledonia | ||
1302 | Papua New Guinea | ||
1303 | Solomon Islands | ||
1304 | Vanuatu | ||
14 | Micronesia | ||
1400 | Micronesia, nfd | ||
1401 | Guam | ||
1402 | Kiribati | ||
1403 | Marshall Islands | ||
1404 | Micronesia, Federated States of | ||
1405 | Nauru | ||
1406 | Northern Mariana Islands | ||
1407 | Palau | ||
15 | Polynesia (excludes Hawaii) | ||
1500 | Polynesia (excludes Hawaii), nfd | ||
1501 | Cook Islands | ||
1502 | Fiji | ||
1503 | French Polynesia | ||
1504 | Niue | ||
1505 | Samoa | ||
1506 | Samoa, American | ||
1507 | Tokelau | ||
1508 | Tonga | ||
1511 | Tuvalu | ||
1512 | Wallis and Futuna | ||
1513 | Pitcairn Islands | ||
1599 | Polynesia (excludes Hawaii), nec | ||
16 | Antarctica | ||
1600 | Antarctica, nfd | ||
1601 | Adelie Land (France) | ||
1602 | Argentinian Antarctic Territory | ||
1603 | Australian Antarctic Territory | ||
1604 | British Antarctic Territory | ||
1605 | Chilean Antarctic Territory | ||
1606 | Queen Maud Land (Norway) | ||
1607 | Ross Dependency (New Zealand) |
2 North-West Europe
2 | North-West Europe | ||
20 | North-West Europe, nfd | ||
2000 | North-West Europe, nfd | ||
21 | United Kingdom, Channel Islands and Isle of Man | ||
2100 | United Kingdom, Channel Islands and Isle of Man, nfd | ||
2102 | England | ||
2103 | Isle of Man | ||
2104 | Northern Ireland | ||
2105 | Scotland | ||
2106 | Wales | ||
2107 | Guernsey | ||
2108 | Jersey | ||
22 | Ireland | ||
2201 | Ireland | ||
23 | Western Europe | ||
2300 | Western Europe, nfd | ||
2301 | Austria | ||
2302 | Belgium | ||
2303 | France | ||
2304 | Germany | ||
2305 | Liechtenstein | ||
2306 | Luxembourg | ||
2307 | Monaco | ||
2308 | Netherlands | ||
2311 | Switzerland | ||
24 | Northern Europe | ||
2400 | Northern Europe, nfd | ||
2401 | Denmark | ||
2402 | Faroe Islands | ||
2403 | Finland | ||
2404 | Greenland | ||
2405 | Iceland | ||
2406 | Norway | ||
2407 | Sweden | ||
2408 | Aland Islands |
3 Southern and Eastern Europe
3 | Southern and Eastern Europe | ||
30 | Southern and Eastern Europe, nfd | ||
3000 | Southern and Eastern Europe, nfd | ||
31 | Southern Europe | ||
3100 | Southern Europe, nfd | ||
3101 | Andorra | ||
3102 | Gibraltar | ||
3103 | Holy See | ||
3104 | Italy | ||
3105 | Malta | ||
3106 | Portugal | ||
3107 | San Marino | ||
3108 | Spain | ||
32 | South Eastern Europe | ||
3200 | South Eastern Europe, nfd | ||
3201 | Albania | ||
3202 | Bosnia and Herzegovina | ||
3203 | Bulgaria | ||
3204 | Croatia | ||
3205 | Cyprus | ||
3206 | North Macedonia | ||
3207 | Greece | ||
3208 | Moldova | ||
3211 | Romania | ||
3212 | Slovenia | ||
3214 | Montenegro | ||
3215 | Serbia | ||
3216 | Kosovo | ||
33 | Eastern Europe | ||
3300 | Eastern Europe, nfd | ||
3301 | Belarus | ||
3302 | Czechia | ||
3303 | Estonia | ||
3304 | Hungary | ||
3305 | Latvia | ||
3306 | Lithuania | ||
3307 | Poland | ||
3308 | Russian Federation | ||
3311 | Slovakia | ||
3312 | Ukraine |
4 North Africa and the Middle East
4 | North Africa and the Middle East | ||
40 | North Africa and the Middle East, nfd | ||
4000 | North Africa and the Middle East, nfd | ||
41 | North Africa | ||
4100 | North Africa, nfd | ||
4101 | Algeria | ||
4102 | Egypt | ||
4103 | Libya | ||
4104 | Morocco | ||
4105 | Sudan | ||
4106 | Tunisia | ||
4107 | Western Sahara | ||
4108 | Spanish North Africa | ||
4111 | South Sudan | ||
42 | Middle East | ||
4200 | Middle East, nfd | ||
4201 | Bahrain | ||
4202 | Gaza Strip and West Bank | ||
4203 | Iran | ||
4204 | Iraq | ||
4205 | Israel | ||
4206 | Jordan | ||
4207 | Kuwait | ||
4208 | Lebanon | ||
4211 | Oman | ||
4212 | Qatar | ||
4213 | Saudi Arabia | ||
4214 | Syria | ||
4215 | Turkey | ||
4216 | United Arab Emirates | ||
4217 | Yemen |
5 South-East Asia
5 | South-East Asia | ||
50 | South-East Asia, nfd | ||
5000 | South-East Asia, nfd | ||
51 | Mainland South-East Asia | ||
5100 | Mainland South-East Asia, nfd | ||
5101 | Myanmar | ||
5102 | Cambodia | ||
5103 | Laos | ||
5104 | Thailand | ||
5105 | Vietnam | ||
52 | Maritime South-East Asia | ||
5200 | Maritime South-East Asia, nfd | ||
5201 | Brunei Darussalam | ||
5202 | Indonesia | ||
5203 | Malaysia | ||
5204 | Philippines | ||
5205 | Singapore | ||
5206 | Timor-Leste |
6 North-East Asia
6 | North-East Asia | ||
60 | North-East Asia, nfd | ||
6000 | North-East Asia, nfd | ||
61 | Chinese Asia (includes Mongolia) | ||
6100 | Chinese Asia (includes Mongolia), nfd | ||
6101 | China (excludes SARs and Taiwan) | ||
6102 | Hong Kong (SAR of China) | ||
6103 | Macau (SAR of China) | ||
6104 | Mongolia | ||
6105 | Taiwan | ||
62 | Japan and the Koreas | ||
6200 | Japan and the Koreas, nfd | ||
6201 | Japan | ||
6202 | Korea, Democratic People's Republic of (North) | ||
6203 | Korea, Republic of (South) |
7 Southern and Central Asia
7 | Southern and Central Asia | ||
70 | Southern and Central Asia, nfd | ||
7000 | Southern and Central Asia, nfd | ||
71 | Southern Asia | ||
7100 | Southern Asia, nfd | ||
7101 | Bangladesh | ||
7102 | Bhutan | ||
7103 | India | ||
7104 | Maldives | ||
7105 | Nepal | ||
7106 | Pakistan | ||
7107 | Sri Lanka | ||
72 | Central Asia | ||
7200 | Central Asia, nfd | ||
7201 | Afghanistan | ||
7202 | Armenia | ||
7203 | Azerbaijan | ||
7204 | Georgia | ||
7205 | Kazakhstan | ||
7206 | Kyrgyzstan | ||
7207 | Tajikistan | ||
7208 | Turkmenistan | ||
7211 | Uzbekistan |
8 Americas
8 | Americas | ||
80 | Americas, nfd | ||
8000 | Americas, nfd | ||
81 | Northern America | ||
8100 | Northern America, nfd | ||
8101 | Bermuda | ||
8102 | Canada | ||
8103 | St Pierre and Miquelon | ||
8104 | United States of America | ||
82 | South America | ||
8200 | South America, nfd | ||
8201 | Argentina | ||
8202 | Bolivia | ||
8203 | Brazil | ||
8204 | Chile | ||
8205 | Colombia | ||
8206 | Ecuador | ||
8207 | Falkland Islands | ||
8208 | French Guiana | ||
8211 | Guyana | ||
8212 | Paraguay | ||
8213 | Peru | ||
8214 | Suriname | ||
8215 | Uruguay | ||
8216 | Venezuela | ||
8299 | South America, nec | ||
83 | Central America | ||
8300 | Central America, nfd | ||
8301 | Belize | ||
8302 | Costa Rica | ||
8303 | El Salvador | ||
8304 | Guatemala | ||
8305 | Honduras | ||
8306 | Mexico | ||
8307 | Nicaragua | ||
8308 | Panama | ||
84 | Caribbean | ||
8400 | Caribbean, nfd | ||
8401 | Anguilla | ||
8402 | Antigua and Barbuda | ||
8403 | Aruba | ||
8404 | Bahamas | ||
8405 | Barbados | ||
8406 | Cayman Islands | ||
8407 | Cuba | ||
8408 | Dominica | ||
8411 | Dominican Republic | ||
8412 | Grenada | ||
8413 | Guadeloupe | ||
8414 | Haiti | ||
8415 | Jamaica | ||
8416 | Martinique | ||
8417 | Montserrat | ||
8421 | Puerto Rico | ||
8422 | St Kitts and Nevis | ||
8423 | St Lucia | ||
8424 | St Vincent and the Grenadines | ||
8425 | Trinidad and Tobago | ||
8426 | Turks and Caicos Islands | ||
8427 | Virgin Islands, British | ||
8428 | Virgin Islands, United States | ||
8431 | St Barthelemy | ||
8432 | St Martin (French part) | ||
8433 | Bonaire, Sint Eustatius and Saba | ||
8434 | Curacao | ||
8435 | Sint Maarten (Dutch part) |
9 Sub-Saharan Africa
9 | Sub-Saharan Africa | ||
90 | Sub-Saharan Africa, nfd | ||
9000 | Sub-Saharan Africa, nfd | ||
91 | Central and West Africa | ||
9100 | Central and West Africa, nfd | ||
9101 | Benin | ||
9102 | Burkina Faso | ||
9103 | Cameroon | ||
9104 | Cabo Verde | ||
9105 | Central African Republic | ||
9106 | Chad | ||
9107 | Congo, Republic of | ||
9108 | Congo, Democratic Republic of | ||
9111 | Cote d'Ivoire | ||
9112 | Equatorial Guinea | ||
9113 | Gabon | ||
9114 | Gambia | ||
9115 | Ghana | ||
9116 | Guinea | ||
9117 | Guinea-Bissau | ||
9118 | Liberia | ||
9121 | Mali | ||
9122 | Mauritania | ||
9123 | Niger | ||
9124 | Nigeria | ||
9125 | Sao Tome and Principe | ||
9126 | Senegal | ||
9127 | Sierra Leone | ||
9128 | Togo | ||
92 | Southern and East Africa | ||
9200 | Southern and East Africa, nfd | ||
9201 | Angola | ||
9202 | Botswana | ||
9203 | Burundi | ||
9204 | Comoros | ||
9205 | Djibouti | ||
9206 | Eritrea | ||
9207 | Ethiopia | ||
9208 | Kenya | ||
9211 | Lesotho | ||
9212 | Madagascar | ||
9213 | Malawi | ||
9214 | Mauritius | ||
9215 | Mayotte | ||
9216 | Mozambique | ||
9217 | Namibia | ||
9218 | Reunion | ||
9221 | Rwanda | ||
9222 | St Helena | ||
9223 | Seychelles | ||
9224 | Somalia | ||
9225 | South Africa | ||
9226 | Eswatini | ||
9227 | Tanzania | ||
9228 | Uganda | ||
9231 | Zambia | ||
9232 | Zimbabwe | ||
9299 | Southern and East Africa, nec |
Supplementary Codes
0 | Supplementary codes | ||
00 | Supplementary codes | ||
0000 | Inadequately described | ||
0001 | At sea | ||
& | Not stated | ||
&& | Not stated | ||
&&&& | Not stated | ||
V | Overseas visitor | ||
VV | Overseas visitor | ||
VVVV | Overseas visitor |
Number of categories:
- One-digit level: 12
- Two-digit level: 39
- Four-digit level: 293
See Understanding supplementary codes for more information.
Question(s) from the Census form
In which country was the person born?
Example
Example 2
How this variable is created
This variable is created based on the response to the country of birth of person question. Respondents may either use a mark box to indicate the country of birth or write the name of the country in the text field.
The majority of responses for country of birth of person are captured automatically from the mark box response. Written responses are coded using a combination of automatic reading and coding processes. The remaining responses require manual coding processes when they cannot be coded or derived automatically.
If a person:
- uses a former country name, it is coded to the current country name (for example, Siam would be coded to Thailand)
- has marked Australia and given a text response, the responses are accepted in the order they appear on the form and the extra response is rejected.
In a small number of cases where country of birth is not stated, the category 'Born in Australia' is derived. This occurs when the person's father or mother was counted in the same dwelling and reported that they were born in Australia. If insufficient information was provided to derive a country response category, it remains as ‘Not stated’.
Country of birth is coded using the SACC. If a response is not listed in the classification, it is coded to 'Inadequately described'.
History and changes
This variable was first reported in 1911, and prior to 2006, it was referred to as 'Birthplace' rather than 'Country of birth'.
For 2021, the order of the response categories has been updated to reflect the most common answers from the 2016 Census:
- ‘Philippines’ moved from 7th to 5th position
- ‘Italy’ moved from 5th to 7th position.
Although China is a country in which a large proportion of Australia's population were born, China does not have a response category on the form. This is to allow people to write in:
- China
- Hong Kong
- Macau, or
- Taiwan.
There have been changes to the SACC for 2021:
- 3302 'Czech Republic' has been changed to 'Czechia'
- 9226 'Swaziland' has been changed to 'Eswatini'
- 3206 'Former Yugoslav Republic of Macedonia' has been changed to 'North Macedonia'
- 2402 spelling of 'Faeroe Islands' has been changed to 'Faroe Islands'.
Data use considerations
The measurement of the ethnic and cultural diversity of the Australian population, and the degree to which Australians retain their ethnic and cultural identity, is primarily based on the use of a number of Census variables related to a person's origin, including:
The non-response rate for Country of birth of person (BPLP) was 5.3% in 2021. This is a decrease from 6.9% in 2016.
Related variables and glossary terms
- Ancestry multi response (ANCP)
- Country of birth of mother (BPFP)
- Country of birth of father (BPMP)
- Language used at home (LANP)
- Religious affiliation (RELP)
- Year of arrival in Australia (YARP)
- Derivation
- Imputation
Data downloads
Country of birth of person classification
Country of birth of father (BPMP)
Definition
This variable indicates the country of birth of each person's father.
Scope
All persons
Categories
Country of birth of father is coded using the Standard Australian Classification of Countries (SACC), 2016. The categories are listed in groups below. The full list is available from the Data downloads on this page.
1 Oceania and Antarctica
1 | Oceania and Antarctica | ||
10 | Oceania and Antarctica, nfd | ||
1000 | Oceania and Antarctica, nfd | ||
11 | Australia (includes External Territories) | ||
1100 | Australia (includes External Territories), nfd | ||
1101 | Australia | ||
1102 | Norfolk Island | ||
1199 | Australian External Territories, nec | ||
12 | New Zealand | ||
1201 | New Zealand | ||
13 | Melanesia | ||
1300 | Melanesia, nfd | ||
1301 | New Caledonia | ||
1302 | Papua New Guinea | ||
1303 | Solomon Islands | ||
1304 | Vanuatu | ||
14 | Micronesia | ||
1400 | Micronesia, nfd | ||
1401 | Guam | ||
1402 | Kiribati | ||
1403 | Marshall Islands | ||
1404 | Micronesia, Federated States of | ||
1405 | Nauru | ||
1406 | Northern Mariana Islands | ||
1407 | Palau | ||
15 | Polynesia (excludes Hawaii) | ||
1500 | Polynesia (excludes Hawaii), nfd | ||
1501 | Cook Islands | ||
1502 | Fiji | ||
1503 | French Polynesia | ||
1504 | Niue | ||
1505 | Samoa | ||
1506 | Samoa, American | ||
1507 | Tokelau | ||
1508 | Tonga | ||
1511 | Tuvalu | ||
1512 | Wallis and Futuna | ||
1513 | Pitcairn Islands | ||
1599 | Polynesia (excludes Hawaii), nec | ||
16 | Antarctica | ||
1600 | Antarctica, nfd | ||
1601 | Adelie Land (France) | ||
1602 | Argentinian Antarctic Territory | ||
1603 | Australian Antarctic Territory | ||
1604 | British Antarctic Territory | ||
1605 | Chilean Antarctic Territory | ||
1606 | Queen Maud Land (Norway) | ||
1607 | Ross Dependency (New Zealand) |
2 North-West Europe
2 | North-West Europe | ||
20 | North-West Europe, nfd | ||
2000 | North-West Europe, nfd | ||
21 | United Kingdom, Channel Islands and Isle of Man | ||
2100 | United Kingdom, Channel Islands and Isle of Man, nfd | ||
2102 | England | ||
2103 | Isle of Man | ||
2104 | Northern Ireland | ||
2105 | Scotland | ||
2106 | Wales | ||
2107 | Guernsey | ||
2108 | Jersey | ||
22 | Ireland | ||
2201 | Ireland | ||
23 | Western Europe | ||
2300 | Western Europe, nfd | ||
2301 | Austria | ||
2302 | Belgium | ||
2303 | France | ||
2304 | Germany | ||
2305 | Liechtenstein | ||
2306 | Luxembourg | ||
2307 | Monaco | ||
2308 | Netherlands | ||
2311 | Switzerland | ||
24 | Northern Europe | ||
2400 | Northern Europe, nfd | ||
2401 | Denmark | ||
2402 | Faroe Islands | ||
2403 | Finland | ||
2404 | Greenland | ||
2405 | Iceland | ||
2406 | Norway | ||
2407 | Sweden | ||
2408 | Aland Islands |
3 Southern and Eastern Europe
3 | Southern and Eastern Europe | ||
30 | Southern and Eastern Europe, nfd | ||
3000 | Southern and Eastern Europe, nfd | ||
31 | Southern Europe | ||
3100 | Southern Europe, nfd | ||
3101 | Andorra | ||
3102 | Gibraltar | ||
3103 | Holy See | ||
3104 | Italy | ||
3105 | Malta | ||
3106 | Portugal | ||
3107 | San Marino | ||
3108 | Spain | ||
32 | South Eastern Europe | ||
3200 | South Eastern Europe, nfd | ||
3201 | Albania | ||
3202 | Bosnia and Herzegovina | ||
3203 | Bulgaria | ||
3204 | Croatia | ||
3205 | Cyprus | ||
3206 | North Macedonia | ||
3207 | Greece | ||
3208 | Moldova | ||
3211 | Romania | ||
3212 | Slovenia | ||
3214 | Montenegro | ||
3215 | Serbia | ||
3216 | Kosovo | ||
33 | Eastern Europe | ||
3300 | Eastern Europe, nfd | ||
3301 | Belarus | ||
3302 | Czechia | ||
3303 | Estonia | ||
3304 | Hungary | ||
3305 | Latvia | ||
3306 | Lithuania | ||
3307 | Poland | ||
3308 | Russian Federation | ||
3311 | Slovakia | ||
3312 | Ukraine |
4 North Africa and the Middle East
4 | North Africa and the Middle East | ||
40 | North Africa and the Middle East, nfd | ||
4000 | North Africa and the Middle East, nfd | ||
41 | North Africa | ||
4100 | North Africa, nfd | ||
4101 | Algeria | ||
4102 | Egypt | ||
4103 | Libya | ||
4104 | Morocco | ||
4105 | Sudan | ||
4106 | Tunisia | ||
4107 | Western Sahara | ||
4108 | Spanish North Africa | ||
4111 | South Sudan | ||
42 | Middle East | ||
4200 | Middle East, nfd | ||
4201 | Bahrain | ||
4202 | Gaza Strip and West Bank | ||
4203 | Iran | ||
4204 | Iraq | ||
4205 | Israel | ||
4206 | Jordan | ||
4207 | Kuwait | ||
4208 | Lebanon | ||
4211 | Oman | ||
4212 | Qatar | ||
4213 | Saudi Arabia | ||
4214 | Syria | ||
4215 | Turkey | ||
4216 | United Arab Emirates | ||
4217 | Yemen |
5 South-East Asia
5 | South-East Asia | ||
50 | South-East Asia, nfd | ||
5000 | South-East Asia, nfd | ||
51 | Mainland South-East Asia | ||
5100 | Mainland South-East Asia, nfd | ||
5101 | Myanmar | ||
5102 | Cambodia | ||
5103 | Laos | ||
5104 | Thailand | ||
5105 | Vietnam | ||
52 | Maritime South-East Asia | ||
5200 | Maritime South-East Asia, nfd | ||
5201 | Brunei Darussalam | ||
5202 | Indonesia | ||
5203 | Malaysia | ||
5204 | Philippines | ||
5205 | Singapore | ||
5206 | Timor-Leste |
6 North-East Asia
6 | North-East Asia | ||
60 | North-East Asia, nfd | ||
6000 | North-East Asia, nfd | ||
61 | Chinese Asia (includes Mongolia) | ||
6100 | Chinese Asia (includes Mongolia), nfd | ||
6101 | China (excludes SARs and Taiwan) | ||
6102 | Hong Kong (SAR of China) | ||
6103 | Macau (SAR of China) | ||
6104 | Mongolia | ||
6105 | Taiwan | ||
62 | Japan and the Koreas | ||
6200 | Japan and the Koreas, nfd | ||
6201 | Japan | ||
6202 | Korea, Democratic People's Republic of (North) | ||
6203 | Korea, Republic of (South) |
7 Southern and Central Asia
7 | Southern and Central Asia | ||
70 | Southern and Central Asia, nfd | ||
7000 | Southern and Central Asia, nfd | ||
71 | Southern Asia | ||
7100 | Southern Asia, nfd | ||
7101 | Bangladesh | ||
7102 | Bhutan | ||
7103 | India | ||
7104 | Maldives | ||
7105 | Nepal | ||
7106 | Pakistan | ||
7107 | Sri Lanka | ||
72 | Central Asia | ||
7200 | Central Asia, nfd | ||
7201 | Afghanistan | ||
7202 | Armenia | ||
7203 | Azerbaijan | ||
7204 | Georgia | ||
7205 | Kazakhstan | ||
7206 | Kyrgyzstan | ||
7207 | Tajikistan | ||
7208 | Turkmenistan | ||
7211 | Uzbekistan |
8 Americas
8 | Americas | ||
80 | Americas, nfd | ||
8000 | Americas, nfd | ||
81 | Northern America | ||
8100 | Northern America, nfd | ||
8101 | Bermuda | ||
8102 | Canada | ||
8103 | St Pierre and Miquelon | ||
8104 | United States of America | ||
82 | South America | ||
8200 | South America, nfd | ||
8201 | Argentina | ||
8202 | Bolivia | ||
8203 | Brazil | ||
8204 | Chile | ||
8205 | Colombia | ||
8206 | Ecuador | ||
8207 | Falkland Islands | ||
8208 | French Guiana | ||
8211 | Guyana | ||
8212 | Paraguay | ||
8213 | Peru | ||
8214 | Suriname | ||
8215 | Uruguay | ||
8216 | Venezuela | ||
8299 | South America, nec | ||
83 | Central America | ||
8300 | Central America, nfd | ||
8301 | Belize | ||
8302 | Costa Rica | ||
8303 | El Salvador | ||
8304 | Guatemala | ||
8305 | Honduras | ||
8306 | Mexico | ||
8307 | Nicaragua | ||
8308 | Panama | ||
84 | Caribbean | ||
8400 | Caribbean, nfd | ||
8401 | Anguilla | ||
8402 | Antigua and Barbuda | ||
8403 | Aruba | ||
8404 | Bahamas | ||
8405 | Barbados | ||
8406 | Cayman Islands | ||
8407 | Cuba | ||
8408 | Dominica | ||
8411 | Dominican Republic | ||
8412 | Grenada | ||
8413 | Guadeloupe | ||
8414 | Haiti | ||
8415 | Jamaica | ||
8416 | Martinique | ||
8417 | Montserrat | ||
8421 | Puerto Rico | ||
8422 | St Kitts and Nevis | ||
8423 | St Lucia | ||
8424 | St Vincent and the Grenadines | ||
8425 | Trinidad and Tobago | ||
8426 | Turks and Caicos Islands | ||
8427 | Virgin Islands, British | ||
8428 | Virgin Islands, United States | ||
8431 | St Barthelemy | ||
8432 | St Martin (French part) | ||
8433 | Bonaire, Sint Eustatius and Saba | ||
8434 | Curacao | ||
8435 | Sint Maarten (Dutch part) |
9 Sub-Saharan Africa
9 | Sub-Saharan Africa | ||
90 | Sub-Saharan Africa, nfd | ||
9000 | Sub-Saharan Africa, nfd | ||
91 | Central and West Africa | ||
9100 | Central and West Africa, nfd | ||
9101 | Benin | ||
9102 | Burkina Faso | ||
9103 | Cameroon | ||
9104 | Cabo Verde | ||
9105 | Central African Republic | ||
9106 | Chad | ||
9107 | Congo, Republic of | ||
9108 | Congo, Democratic Republic of | ||
9111 | Cote d'Ivoire | ||
9112 | Equatorial Guinea | ||
9113 | Gabon | ||
9114 | Gambia | ||
9115 | Ghana | ||
9116 | Guinea | ||
9117 | Guinea-Bissau | ||
9118 | Liberia | ||
9121 | Mali | ||
9122 | Mauritania | ||
9123 | Niger | ||
9124 | Nigeria | ||
9125 | Sao Tome and Principe | ||
9126 | Senegal | ||
9127 | Sierra Leone | ||
9128 | Togo | ||
92 | Southern and East Africa | ||
9200 | Southern and East Africa, nfd | ||
9201 | Angola | ||
9202 | Botswana | ||
9203 | Burundi | ||
9204 | Comoros | ||
9205 | Djibouti | ||
9206 | Eritrea | ||
9207 | Ethiopia | ||
9208 | Kenya | ||
9211 | Lesotho | ||
9212 | Madagascar | ||
9213 | Malawi | ||
9214 | Mauritius | ||
9215 | Mayotte | ||
9216 | Mozambique | ||
9217 | Namibia | ||
9218 | Reunion | ||
9221 | Rwanda | ||
9222 | St Helena | ||
9223 | Seychelles | ||
9224 | Somalia | ||
9225 | South Africa | ||
9226 | Eswatini | ||
9227 | Tanzania | ||
9228 | Uganda | ||
9231 | Zambia | ||
9232 | Zimbabwe | ||
9299 | Southern and East Africa, nec |
Supplementary Codes
0 | Supplementary codes | ||
00 | Supplementary codes | ||
0000 | Inadequately described | ||
0001 | At sea | ||
& | Not stated | ||
&& | Not stated | ||
&&&& | Not stated | ||
V | Overseas visitor | ||
VV | Overseas visitor | ||
VVVV | Overseas visitor |
Number of categories:
- One-digit level: 12
- Two-digit level: 39
- Four-digit level: 293
See Understanding supplementary codes for more information.
Question(s) from the Census form
In which country was the person’s father born?
How this variable is created
Country of birth of father (BPMP) is a person variable that is created based on the response to country of birth of father question. On the paper form, respondents may either use a mark box to indicate Australia or write the name of any other country in the text field. On the online form, the question uses a combination of mark boxes for the most frequent responses expected, accompanied by a text field to capture all other responses. The options are ordered based on the relative number of responses received in the 2016 Census.
Any typed country of birth response will also appear as an option for that person’s country of birth of father.
The majority of responses for country of birth of person are captured automatically from the mark box response. Written responses are coded using a combination of automatic reading and coding processes. The remaining responses require manual coding processes when they cannot be coded or derived automatically.
If a person:
- uses a former country name, it is coded to the current country name (for example, Siam would be coded to Thailand)
- has marked Australia and given a text response, the responses are accepted in the order they appear on the form and the extra response is rejected
- does not answer the question, and a father has been identified for the family unit on the same Census form, then the father's birthplace is coded as the father's country of birth, for that respondent.
BPMP is coded using the SACC. If a response is not listed in the classification, it is coded to 'Inadequately described'.
History and changes
A question relating to BPMP was first asked in the 1921 Census, but not included again until 1971. It has been included in all Australian censuses from 1971.
Prior to the 2001 Census, respondents were asked to write in their father's birthplace as a text response.
From 2001 to 2011, the question was simplified to a simple mark box with two options for either Australia or Overseas. This was done following the introduction of a question on a person's ancestry.
For the 2016 Census, the question format was changed to again allow respondents to provide details for the country of birth of their father where it was not Australia. Respondents were asked to use a mark box to respond for Australia, or a text field to specify any other country.
For the first time, the 2021 Census included instructions to provide guidance on situations where the birth parent is unknown and there is a second parent, or the person has same-sex parents.
There have been changes to the SACC for 2021:
- 3302 'Czech Republic' has been changed to 'Czechia'
- 9226 'Swaziland' has been changed to 'Eswatini'
- 3206 'Former Yugoslav Republic of Macedonia' has been changed to 'North Macedonia'
- 2402 spelling of 'Faeroe Islands' has been changed to 'Faroe Islands'.
Data use considerations
Related variables and glossary terms
- Country of birth of mother (BPFP)
- Country of birth of person (BPLP)
- Country of birth of parents (BPPP)
- Derivation
- Imputation
Data downloads
Country of birth of father classification
Country of birth of parents (BPPP)
Definition
This variable indicates if a person's father and/or mother was born in Australia or overseas. It combines responses for Country of birth of mother (BPFP) and Country of birth of father (BPMP) to identify the country of birth of a person’s parents (Country of birth of parents, BPPP).
The data gained from this variable, together with Country of birth of person (BPLP), allows the study of first-generation and second-generation Australians.
Scope
All persons
Categories
Code | Category |
---|---|
1 | Both parents born overseas |
2 | Father only born overseas |
3 | Mother only born overseas |
4 | Both parents born in Australia |
& | Not stated - birthplace for either or both parents not stated |
V | Overseas visitor |
Number of categories: 6
See Understanding supplementary codes for more information.
Question(s) from the Census form
In which country was the person’s father born?
In which country was the person’s mother born?
History and changes
The two questions used to derive this variable were first asked in the 1921 Census, but not asked again until 1971. Since then, they have been asked in every Census.
Until 2001, the question asked people to write in their parents’ birthplaces. In the 2001 Census a question was also asked on ancestry. As a result, for the 2001-2011 Censuses the country of birth of parents response categories were changed to ask whether a person’s parents were born in Australia or overseas rather than collect detail on the parents’ overseas birthplaces.
For 2016 the name of the variable changed from 'Birthplace of parents' to 'Country of birth of parents'. After consultation with key data users, the question responses changed to again ask the specific birthplace of parents where it is not Australia.
No changes have been made for 2021.
Data use considerations
The questions used to derive BPPP (Country of birth of mother and Country of birth of father) changed in 2016. In 2011 both items only asked if a person's mother and father were born in Australia or overseas, whereas since 2016 the specific country of birth is asked for both parents.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Country of birth of mother (BPFP)
- Country of birth of father (BPMP)
- Country of birth of person (BPLP)
- Derivation
- First generation Australians
- Second generation Australians
Useful links
Australian citizenship (CITP)
Definition
This variable records whether a person has Australian citizenship. The data is used to understand the tendency of different migrant groups to take up citizenship and to measure the size of the groups eligible to vote.
Scope
All persons
Categories
Code | Category |
---|---|
1 | Australian citizen |
2 | Not an Australian citizen |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Is the person an Australian citizen?
How this variable is created
This variable is created from responses to the Australian citizen question. The responses are captured automatically from mark box responses so the risk of processing error is minimal. Respondents are asked to mark only one response. When respondents provide more than one, responses are accepted in the order they appeared on the form and the extra response is rejected.
History and changes
A question on national citizenship has been asked on every Census since 1911. However, prior to 1986 the specific question wording asked to specify country of citizenship or their 'nationality' rather than ask if they were an Australian citizen.
For 2021 the category labels have been updated:
- Category 1 has changed from 'Australian' to 'Australian citizen'
- Category 2 has changed from 'Not Australian' to 'Not an Australian citizen'
Data use considerations
Australian citizenship (CITP) data is useful when cross-classified with Country of birth of person (BPLP), Year of arrival in Australia (YARP) and Age (AGEP) data. When analysing Australian citizenship data cross-classified with Country of birth of person data, users may find that a small proportion of people have responded to the citizenship question as Australian citizen, but not a country of birth and vice versa.
The non-response rate for Australian citizenship (CITP) was 5.1% in 2021. This is a decrease from 6.9% in 2016.
Proficiency in spoken English (ENGLP)
Definition
This variable classifies a person's self-assessed proficiency in spoken English where they have identified they use a main language other than English at home (LANP). While people who use English only at home are included in this variable as a distinct category, they are not included in categories 2 to 5 which is the self-assessed ability in spoken English.
Scope
All persons
Categories
Code | Category |
---|---|
1 | Speaks English only |
2 | Uses other language and speaks English: Very well |
3 | Uses other language and speaks English: Well |
4 | Uses other language and speaks English: Not well |
5 | Uses other language and speaks English: Not at all |
6 | Not stated - both language (LANP) and proficiency in spoken English not stated |
& | Not stated - language (LANP) stated, proficiency in spoken English not stated |
V | Overseas visitor |
Number of categories: 8
See Understanding supplementary codes for more information.
Question(s) from the Census form
Does the person use a language other than English at home?
More information
How well does the person speak English?
How this variable is created
This variable is derived from the responses to two questions on the 2021 Census.
Speaks English only
Where respondents mark that they use English only at home, they are coded to category 1, 'Speaks English only'.
Uses other language
The remainder of respondents who do use a language other than English at home are asked, 'How well does the person speak English?'. Responses to this question are captured automatically from mark box responses on the form so the risk of processing error is minimal. Respondents are asked only to mark one response. These responses are output in categories 2 to 5. Where an incorrect number of responses is provided, responses are accepted in the order they appeared on the form and the extra responses are rejected.
Not Stated
Where a respondent marks that they do use a language other than English at home but does not answer the 'How well does the person speak English?' question, they are coded to category &, 'Not stated - language (LANP) stated, proficiency in spoken English not stated'.
Where a respondent does not answer the Language used at home question and the proficiency in spoken English question, they are coded to category 6, 'Not stated - both language (LANP) and proficiency in spoken English not stated'.
History and changes
A question relating to proficiency in spoken English/Language (ENGLP) was first asked in 1981. Prior to this, some censuses had also asked what languages were regularly used.
For 2021, the variable name changed from 'Proficiency in spoken English/language' to 'Proficiency in spoken English'.
For 2021, some category labels have been updated:
- Categories 2 to 5 changed from 'Speaks other languages and speaks English' to 'Uses other language and speaks English'
- Not stated categories 6 and & have had references to 'ENGP' removed.
Data use considerations
This variable is used to understand how well people can speak English, when they use a language at home that is not English. It is useful in planning and providing multilingual services.
The non-response rate for Proficiency in spoken English (ENGLP) was 5.5% in 2021. This is a decrease from 6.5% in 2016. The non-response rate for Proficiency in spoken English (ENGLP) includes Not Stated responses where:
- both Language (LANP) and proficiency in spoken English is not stated (category 6)
- where Language (LANP) is stated and proficiency in spoken English not stated (category &).
2016 variables
In 2016 there were two output variables relating to proficiency in spoken English:
- Proficiency in spoken English (ENGP)
- Proficiency in spoken English/Language (ENGLP)
The ENGP variable was only applicable to those who used a language other than English or who did not state a language, whereas ENGLP was applicable to all persons. This difference caused confusion for users.
ENGP has been removed for the 2021 Census to avoid data misuse. ENGLP will be output for 2021, however the name of the variable has been changed to 'Proficiency in spoken English'.
Measurement issues
Responses to the question on proficiency in English are subjective. For example, one respondent may consider that a response of 'Well' is appropriate if they can communicate well enough to do the shopping, while another respondent may consider such a response appropriate only for people who can hold a social conversation. Proficiency in spoken English should be regarded as an indicator of a person's ability to speak English rather than a definitive measure of their ability and should be interpreted with care.
Related variables and glossary terms
- Language Spoken at Home (LANP)
Useful links
Language used at home (LANP)
Definition
This variable identifies whether a person uses a language other than English at home and if so, records the main non-English language which is used. The purpose of this variable is to identify the main languages other than English which are used in households across Australia.
Scope
All persons
Categories
Language used at home (LANP) is classified using the Australian Standard Classification of Languages (ASCL), 2016. The categories are listed in groups below. The full list is available from the Data downloads on this page.
1 Northern European Languages
1 | Northern European Languages | ||||
10 | Northern European Languages, nfd | ||||
1000 | Northern European Languages, nfd | ||||
11 | Celtic | ||||
1100 | Celtic, nfd | ||||
1101 | Gaelic (Scotland) | ||||
1102 | Irish | ||||
1103 | Welsh | ||||
1199 | Celtic, nec | ||||
12 | English | ||||
1201 | English | ||||
13 | German and Related Languages | ||||
1300 | German and Related Languages, nfd | ||||
1301 | German | ||||
1302 | Letzeburgish | ||||
1303 | Yiddish | ||||
14 | Dutch and Related Languages | ||||
1400 | Dutch and Related Languages, nfd | ||||
1401 | Dutch | ||||
1402 | Frisian | ||||
1403 | Afrikaans | ||||
15 | Scandinavian | ||||
1500 | Scandinavian, nfd | ||||
1501 | Danish | ||||
1502 | Icelandic | ||||
1503 | Norwegian | ||||
1504 | Swedish | ||||
1599 | Scandinavian, nec | ||||
16 | Finnish and Related Languages | ||||
1600 | Finnish and Related Languages, nfd | ||||
1601 | Estonian | ||||
1602 | Finnish | ||||
1699 | Finnish and Related Languages, nec |
2 Southern European Languages
2 | Southern European Languages | ||||
20 | Southern European Languages, nfd | ||||
2000 | Southern European Languages, nfd | ||||
21 | French | ||||
2101 | French | ||||
22 | Greek | ||||
2201 | Greek | ||||
23 | Iberian Romance | ||||
2300 | Iberian Romance, nfd | ||||
2301 | Catalan | ||||
2302 | Portuguese | ||||
2303 | Spanish | ||||
2399 | Iberian Romance, nec | ||||
24 | Italian | ||||
2401 | Italian | ||||
25 | Maltese | ||||
2501 | Maltese | ||||
29 | Other Southern European Languages | ||||
2900 | Other Southern European Languages, nfd | ||||
2901 | Basque | ||||
2902 | Latin | ||||
2999 | Other Southern European Languages, nec |
3 Eastern European Languages
3 | Eastern European Languages | ||||
30 | Eastern European Languages, nfd | ||||
3000 | Eastern European Languages, nfd | ||||
31 | Baltic | ||||
3100 | Baltic, nfd | ||||
3101 | Latvian | ||||
3102 | Lithuanian | ||||
33 | Hungarian | ||||
3301 | Hungarian | ||||
34 | East Slavic | ||||
3400 | East Slavic, nfd | ||||
3401 | Belorussian | ||||
3402 | Russian | ||||
3403 | Ukrainian | ||||
35 | South Slavic | ||||
3500 | South Slavic, nfd | ||||
3501 | Bosnian | ||||
3502 | Bulgarian | ||||
3503 | Croatian | ||||
3504 | Macedonian | ||||
3505 | Serbian | ||||
3506 | Slovene | ||||
3507 | Serbo-Croatian/Yugoslavian, so described | ||||
36 | West Slavic | ||||
3600 | West Slavic, nfd | ||||
3601 | Czech | ||||
3602 | Polish | ||||
3603 | Slovak | ||||
3604 | Czechoslovakian, so described | ||||
39 | Other Eastern European Languages | ||||
3900 | Other Eastern European Languages, nfd | ||||
3901 | Albanian | ||||
3903 | Aromunian (Macedo-Romanian) | ||||
3904 | Romanian | ||||
3905 | Romany | ||||
3999 | Other Eastern European Languages, nec |
4 Southwest and Central Asian Languages
4 | Southwest and Central Asian Languages | ||||
40 | Southwest and Central Asian Languages, nfd | ||||
4000 | Southwest and Central Asian Languages, nfd | ||||
41 | Iranic | ||||
4100 | Iranic, nfd | ||||
4101 | Kurdish | ||||
4102 | Pashto | ||||
4104 | Balochi | ||||
4105 | Dari | ||||
4106 | Persian (excluding Dari) | ||||
4107 | Hazaraghi | ||||
4199 | Iranic, nec | ||||
42 | Middle Eastern Semitic Languages | ||||
4200 | Middle Eastern Semitic Languages, nfd | ||||
4202 | Arabic | ||||
4204 | Hebrew | ||||
4206 | Assyrian Neo-Aramaic | ||||
4207 | Chaldean Neo-Aramaic | ||||
4208 | Mandaean (Mandaic) | ||||
4299 | Middle Eastern Semitic Languages, nec | ||||
43 | Turkic | ||||
4300 | Turkic, nfd | ||||
4301 | Turkish | ||||
4302 | Azeri | ||||
4303 | Tatar | ||||
4304 | Turkmen | ||||
4305 | Uygur | ||||
4306 | Uzbek | ||||
4399 | Turkic, nec | ||||
49 | Other Southwest and Central Asian Languages | ||||
4900 | Other Southwest and Central Asian Languages, nfd | ||||
4901 | Armenian | ||||
4902 | Georgian | ||||
4999 | Other Southwest and Central Asian Languages, nec |
5 Southern Asian Languages
5 | Southern Asian Languages | ||||
50 | Southern Asian Languages, nfd | ||||
5000 | Southern Asian Languages, nfd | ||||
51 | Dravidian | ||||
5100 | Dravidian, nfd | ||||
5101 | Kannada | ||||
5102 | Malayalam | ||||
5103 | Tamil | ||||
5104 | Telugu | ||||
5105 | Tulu | ||||
5199 | Dravidian, nec | ||||
52 | Indo-Aryan | ||||
5200 | Indo-Aryan, nfd | ||||
5201 | Bengali | ||||
5202 | Gujarati | ||||
5203 | Hindi | ||||
5204 | Konkani | ||||
5205 | Marathi | ||||
5206 | Nepali | ||||
5207 | Punjabi | ||||
5208 | Sindhi | ||||
5211 | Sinhalese | ||||
5212 | Urdu | ||||
5213 | Assamese | ||||
5214 | Dhivehi | ||||
5215 | Kashmiri | ||||
5216 | Oriya | ||||
5217 | Fijian Hindustani | ||||
5299 | Indo-Aryan, nec | ||||
59 | Other Southern Asian Languages | ||||
5999 | Other Southern Asian Languages |
6 Southeast Asian Languages
6 | Southeast Asian Languages | ||||
60 | Southeast Asian Languages, nfd | ||||
6000 | Southeast Asian Languages, nfd | ||||
61 | Burmese and Related Languages | ||||
6100 | Burmese and Related Languages, nfd | ||||
6101 | Burmese | ||||
6102 | Chin Haka | ||||
6103 | Karen | ||||
6104 | Rohingya | ||||
6105 | Zomi | ||||
6199 | Burmese and Related Languages, nec | ||||
62 | Hmong-Mien | ||||
6200 | Hmong-Mien, nfd | ||||
6201 | Hmong | ||||
6299 | Hmong-Mien, nec | ||||
63 | Mon-Khmer | ||||
6300 | Mon-Khmer, nfd | ||||
6301 | Khmer | ||||
6302 | Vietnamese | ||||
6303 | Mon | ||||
6399 | Mon-Khmer, nec | ||||
64 | Tai | ||||
6400 | Tai, nfd | ||||
6401 | Lao | ||||
6402 | Thai | ||||
6499 | Tai, nec | ||||
65 | Southeast Asian Austronesian Languages | ||||
6500 | Southeast Asian Austronesian Languages, nfd | ||||
6501 | Bisaya | ||||
6502 | Cebuano | ||||
6503 | Ilokano | ||||
6504 | Indonesian | ||||
6505 | Malay | ||||
6507 | Tetum | ||||
6508 | Timorese | ||||
6511 | Tagalog | ||||
6512 | Filipino | ||||
6513 | Acehnese | ||||
6514 | Balinese | ||||
6515 | Bikol | ||||
6516 | Iban | ||||
6517 | Ilonggo (Hiligaynon) | ||||
6518 | Javanese | ||||
6521 | Pampangan | ||||
6599 | Southeast Asian Austronesian Languages, nec | ||||
69 | Other Southeast Asian Languages | ||||
6999 | Other Southeast Asian Languages |
7 Eastern Asian Languages
7 | Eastern Asian Languages | ||||
70 | Eastern Asian Languages, nfd | ||||
7000 | Eastern Asian Languages, nfd | ||||
71 | Chinese | ||||
7100 | Chinese, nfd | ||||
7101 | Cantonese | ||||
7102 | Hakka | ||||
7104 | Mandarin | ||||
7106 | Wu | ||||
7107 | Min Nan | ||||
7199 | Chinese, nec | ||||
72 | Japanese | ||||
7201 | Japanese | ||||
73 | Korean | ||||
7301 | Korean | ||||
79 | Other Eastern Asian Languages | ||||
7900 | Other Eastern Asian Languages, nfd | ||||
7901 | Tibetan | ||||
7902 | Mongolian | ||||
7999 | Other Eastern Asian Languages, nec |
8 Australian Indigenous Languages
8 | Australian Indigenous Languages | ||||
80 | Australian Indigenous Languages, nfd | ||||
8000 | Australian Indigenous Languages, nfd | ||||
81 | Arnhem Land and Daly River Region Languages | ||||
8100 | Arnhem Land and Daly River Region Languages, nfd | ||||
8101 | Anindilyakwa | ||||
8111 | Maung | ||||
8113 | Ngan'gikurunggurr | ||||
8114 | Nunggubuyu | ||||
8115 | Rembarrnga | ||||
8117 | Tiwi | ||||
8121 | Alawa | ||||
8122 | Dalabon | ||||
8123 | Gudanji | ||||
8127 | Iwaidja | ||||
8128 | Jaminjung | ||||
8131 | Jawoyn | ||||
8132 | Jingulu | ||||
8133 | Kunbarlang | ||||
8136 | Larrakiya | ||||
8137 | Malak Malak | ||||
8138 | Mangarrayi | ||||
8141 | Maringarr | ||||
8142 | Marra | ||||
8143 | Marrithiyel | ||||
8144 | Matngala | ||||
8146 | Murrinh Patha | ||||
8147 | Na-kara | ||||
8148 | Ndjebbana (Gunavidji) | ||||
8151 | Ngalakgan | ||||
8152 | Ngaliwurru | ||||
8153 | Nungali | ||||
8154 | Wambaya | ||||
8155 | Wardaman | ||||
8156 | Amurdak | ||||
8157 | Garrwa | ||||
8158 | Kuwema | ||||
8161 | Marramaninyshi | ||||
8162 | Ngandi | ||||
8163 | Waanyi | ||||
8164 | Wagiman | ||||
8165 | Yanyuwa | ||||
8166 | Marridan (Maridan) | ||||
817 | Kunwinjkuan | ||||
8170 | Kunwinjkuan, nfd | ||||
8171 | Gundjeihmi | ||||
8172 | Kune | ||||
8173 | Kuninjku | ||||
8174 | Kunwinjku | ||||
8175 | Mayali | ||||
8179 | Kunwinjkuan, nec | ||||
818 | Burarran | ||||
8180 | Burarran, nfd | ||||
8181 | Burarra | ||||
8182 | Gun-nartpa | ||||
8183 | Gurr-goni | ||||
8189 | Burarran, nec | ||||
8199 | Arnhem Land and Daly River Region Languages, nec | ||||
82 | Yolngu Matha | ||||
8200 | Yolngu Matha, nfd | ||||
821 | Dhangu | ||||
8210 | Dhangu, nfd | ||||
8211 | Galpu | ||||
8212 | Golumala | ||||
8213 | Wangurri | ||||
8219 | Dhangu, nec | ||||
822 | Dhay'yi | ||||
8220 | Dhay'yi, nfd | ||||
8221 | Dhalwangu | ||||
8222 | Djarrwark | ||||
8229 | Dhay'yi, nec | ||||
823 | Dhuwal | ||||
8230 | Dhuwal, nfd | ||||
8231 | Djambarrpuyngu | ||||
8232 | Djapu | ||||
8233 | Daatiwuy | ||||
8234 | Marrangu | ||||
8235 | Liyagalawumirr | ||||
8236 | Liyagawumirr | ||||
8239 | Dhuwal, nec | ||||
824 | Dhuwala | ||||
8240 | Dhuwala, nfd | ||||
8242 | Gumatj | ||||
8243 | Gupapuyngu | ||||
8244 | Guyamirrilili | ||||
8246 | Manggalili | ||||
8247 | Wubulkarra | ||||
8249 | Dhuwala, nec | ||||
825 | Djinang | ||||
8250 | Djinang, nfd | ||||
8251 | Wurlaki | ||||
8259 | Djinang, nec | ||||
826 | Djinba | ||||
8260 | Djinba, nfd | ||||
8261 | Ganalbingu | ||||
8262 | Djinba | ||||
8263 | Manyjalpingu | ||||
8269 | Djinba, nec | ||||
827 | Yakuy | ||||
8270 | Yakuy, nfd | ||||
8271 | Ritharrngu | ||||
8272 | Wagilak | ||||
8279 | Yakuy, nec | ||||
828 | Nhangu | ||||
8281 | Nhangu | ||||
8282 | Yan-nhangu | ||||
8289 | Nhangu, nec | ||||
829 | Other Yolngu Matha | ||||
8291 | Dhuwaya | ||||
8292 | Djangu | ||||
8293 | Madarrpa | ||||
8294 | Warramiri | ||||
8295 | Rirratjingu | ||||
8299 | Other Yolngu Matha, nec | ||||
83 | Cape York Peninsula Languages | ||||
8300 | Cape York Peninsula Languages, nfd | ||||
8301 | Kuku Yalanji | ||||
8302 | Guugu Yimidhirr | ||||
8303 | Kuuku-Ya'u | ||||
8304 | Wik Mungkan | ||||
8305 | Djabugay | ||||
8306 | Dyirbal | ||||
8307 | Girramay | ||||
8308 | Koko-Bera | ||||
8311 | Kuuk Thayorre | ||||
8312 | Lamalama | ||||
8313 | Yidiny | ||||
8314 | Wik Ngathan | ||||
8315 | Alngith | ||||
8316 | Kugu Muminh | ||||
8317 | Morrobalama | ||||
8318 | Thaynakwith | ||||
8321 | Yupangathi | ||||
8322 | Tjungundji | ||||
8399 | Cape York Peninsula Languages, nec | ||||
84 | Torres Strait Island Languages | ||||
8400 | Torres Strait Island Languages, nfd | ||||
8401 | Kalaw Kawaw Ya/Kalaw Lagaw Ya | ||||
8402 | Meriam Mir | ||||
8403 | Yumplatok (Torres Strait Creole) | ||||
85 | Northern Desert Fringe Area Languages | ||||
8500 | Northern Desert Fringe Area Languages, nfd | ||||
8504 | Bilinarra | ||||
8505 | Gurindji | ||||
8506 | Gurindji Kriol | ||||
8507 | Jaru | ||||
8508 | Light Warlpiri | ||||
8511 | Malngin | ||||
8512 | Mudburra | ||||
8514 | Ngardi | ||||
8515 | Ngarinyman | ||||
8516 | Walmajarri | ||||
8517 | Wanyjirra | ||||
8518 | Warlmanpa | ||||
8521 | Warlpiri | ||||
8522 | Warumungu | ||||
8599 | Northern Desert Fringe Area Languages, nec | ||||
86 | Arandic | ||||
8600 | Arandic, nfd | ||||
8603 | Alyawarr | ||||
8606 | Kaytetye | ||||
8607 | Antekerrepenh | ||||
861 | Anmatyerr | ||||
8610 | Anmatyerr, nfd | ||||
8611 | Central Anmatyerr | ||||
8612 | Eastern Anmatyerr | ||||
8619 | Anmatyerr, nec | ||||
862 | Arrernte | ||||
8620 | Arrernte, nfd | ||||
8621 | Eastern Arrernte | ||||
8622 | Western Arrarnta | ||||
8629 | Arrernte, nec | ||||
8699 | Arandic, nec | ||||
87 | Western Desert Languages | ||||
8700 | Western Desert Languages, nfd | ||||
8703 | Antikarinya | ||||
8704 | Kartujarra | ||||
8705 | Kukatha | ||||
8706 | Kukatja | ||||
8707 | Luritja | ||||
8708 | Manyjilyjarra | ||||
8711 | Martu Wangka | ||||
8712 | Ngaanyatjarra | ||||
8713 | Pintupi | ||||
8714 | Pitjantjatjara | ||||
8715 | Wangkajunga | ||||
8716 | Wangkatha | ||||
8717 | Warnman | ||||
8718 | Yankunytjatjara | ||||
8721 | Yulparija | ||||
8722 | Tjupany | ||||
8799 | Western Desert Languages, nec | ||||
88 | Kimberley Area Languages | ||||
8800 | Kimberley Area Languages, nfd | ||||
8801 | Bardi | ||||
8802 | Bunuba | ||||
8803 | Gooniyandi | ||||
8804 | Miriwoong | ||||
8805 | Ngarinyin | ||||
8806 | Nyikina | ||||
8807 | Worla | ||||
8808 | Worrorra | ||||
8811 | Wunambal | ||||
8812 | Yawuru | ||||
8813 | Gambera | ||||
8814 | Jawi | ||||
8815 | Kija | ||||
8899 | Kimberley Area Languages, nec | ||||
89 | Other Australian Indigenous Languages | ||||
8900 | Other Australian Indigenous Languages, nfd | ||||
8901 | Adnymathanha | ||||
8902 | Arabana | ||||
8903 | Bandjalang | ||||
8904 | Banyjima | ||||
8905 | Batjala | ||||
8906 | Bidjara | ||||
8907 | Dhanggatti | ||||
8908 | Diyari | ||||
8911 | Gamilaraay | ||||
8913 | Garuwali | ||||
8914 | Githabul | ||||
8915 | Gumbaynggir | ||||
8916 | Kanai | ||||
8917 | Karajarri | ||||
8918 | Kariyarra | ||||
8921 | Kaurna | ||||
8922 | Kayardild | ||||
8924 | Kriol | ||||
8925 | Lardil | ||||
8926 | Mangala | ||||
8927 | Muruwari | ||||
8928 | Narungga | ||||
8931 | Ngarluma | ||||
8932 | Ngarrindjeri | ||||
8933 | Nyamal | ||||
8934 | Nyangumarta | ||||
8935 | Nyungar | ||||
8936 | Paakantyi | ||||
8937 | Palyku/Nyiyaparli | ||||
8938 | Wajarri | ||||
8941 | Wiradjuri | ||||
8943 | Yindjibarndi | ||||
8944 | Yinhawangka | ||||
8945 | Yorta Yorta | ||||
8946 | Baanbay | ||||
8947 | Badimaya | ||||
8948 | Barababaraba | ||||
8951 | Dadi Dadi | ||||
8952 | Dharawal | ||||
8953 | Djabwurrung | ||||
8954 | Gudjal | ||||
8955 | Keerray-Woorroong | ||||
8956 | Ladji Ladji | ||||
8957 | Mirning | ||||
8958 | Ngatjumaya | ||||
8961 | Waluwarra | ||||
8962 | Wangkangurru | ||||
8963 | Wargamay | ||||
8964 | Wergaia | ||||
8965 | Yugambeh | ||||
8998 | Aboriginal English, so described | ||||
8999 | Other Australian Indigenous Languages, nec |
9 Other Languages
9 | Other Languages | ||||
90 | Other Languages, nfd | ||||
9000 | Other Languages, nfd | ||||
91 | American Languages | ||||
9101 | American Languages | ||||
92 | African Languages | ||||
9200 | African Languages, nfd | ||||
9201 | Acholi | ||||
9203 | Akan | ||||
9205 | Mauritian Creole | ||||
9206 | Oromo | ||||
9207 | Shona | ||||
9208 | Somali | ||||
9211 | Swahili | ||||
9212 | Yoruba | ||||
9213 | Zulu | ||||
9214 | Amharic | ||||
9215 | Bemba | ||||
9216 | Dinka | ||||
9217 | Ewe | ||||
9218 | Ga | ||||
9221 | Harari | ||||
9222 | Hausa | ||||
9223 | Igbo | ||||
9224 | Kikuyu | ||||
9225 | Krio | ||||
9226 | Luganda | ||||
9227 | Luo | ||||
9228 | Ndebele | ||||
9231 | Nuer | ||||
9232 | Nyanja (Chichewa) | ||||
9233 | Shilluk | ||||
9234 | Tigre | ||||
9235 | Tigrinya | ||||
9236 | Tswana | ||||
9237 | Xhosa | ||||
9238 | Seychelles Creole | ||||
9241 | Anuak | ||||
9242 | Bari | ||||
9243 | Bassa | ||||
9244 | Dan (Gio-Dan) | ||||
9245 | Fulfulde | ||||
9246 | Kinyarwanda (Rwanda) | ||||
9247 | Kirundi (Rundi) | ||||
9248 | Kpelle | ||||
9251 | Krahn | ||||
9252 | Liberian (Liberian English) | ||||
9253 | Loma (Lorma) | ||||
9254 | Lumun (Kuku Lumun) | ||||
9255 | Madi | ||||
9256 | Mandinka | ||||
9257 | Mann | ||||
9258 | Moro (Nuba Moro) | ||||
9261 | Themne | ||||
9262 | Lingala | ||||
9299 | African Languages, nec | ||||
93 | Pacific Austronesian Languages | ||||
9300 | Pacific Austronesian Languages, nfd | ||||
9301 | Fijian | ||||
9302 | Gilbertese | ||||
9303 | Maori (Cook Island) | ||||
9304 | Maori (New Zealand) | ||||
9306 | Nauruan | ||||
9307 | Niue | ||||
9308 | Samoan | ||||
9311 | Tongan | ||||
9312 | Rotuman | ||||
9313 | Tokelauan | ||||
9314 | Tuvaluan | ||||
9315 | Yapese | ||||
9399 | Pacific Austronesian Languages, nec | ||||
94 | Oceanian Pidgins and Creoles | ||||
9400 | Oceanian Pidgins and Creoles, nfd | ||||
9402 | Bislama | ||||
9403 | Hawaiian English | ||||
9404 | Norf'k-Pitcairn | ||||
9405 | Solomon Islands Pijin | ||||
9499 | Oceanian Pidgins and Creoles, nec | ||||
95 | Papua New Guinea Languages | ||||
9500 | Papua New Guinea Languages, nfd | ||||
9502 | Kiwai | ||||
9503 | Motu (HiriMotu) | ||||
9504 | Tok Pisin (Neomelanesian) | ||||
9599 | Papua New Guinea Languages, nec | ||||
96 | Invented Languages | ||||
9601 | Invented Languages | ||||
97 | Sign Languages | ||||
9700 | Sign Languages, nfd | ||||
9701 | Auslan | ||||
9702 | Key Word Sign Australia | ||||
9799 | Sign Languages, nec |
Supplementary codes
0 | Supplementary codes | ||||
00 | Supplementary codes | ||||
0000 | Inadequately described | ||||
0001 | Non-verbal, so described | ||||
0003 | Swiss, so described | ||||
0004 | Cypriot, so described | ||||
0005 | Creole, nfd | ||||
0006 | French Creole, nfd | ||||
0007 | Spanish Creole, nfd | ||||
0008 | Portuguese Creole, nfd | ||||
0009 | Pidgin, nfd | ||||
& | Not stated | ||||
&& | Not stated | ||||
&&&& | Not stated | ||||
V | Overseas visitor | ||||
VV | Overseas visitor | ||||
VVVV | Overseas visitor |
Number of categories:
- One digit level: 12
- Two digit level: 63
- Three digit level: 63
- Four digit level: 505
See Understanding supplementary codes for more information.
Question(s) from the Census form
Does the person use a language other than English at home?
Alternative response options - Aboriginal and Torres Strait Islander
Example
More information
How this variable is created
This variable is created from responses to the language used at home question. Respondents may either use a mark box to indicate the language used at home or write the name of the language in the text field. When a person marks more than one language or marks a language and gives a text response, responses are accepted in the order they appeared on the form and the extra response is rejected.
The majority of responses for LANP are captured automatically from the mark box response. Written responses are coded using a combination of automatic reading and coding processes. The remaining responses require manual coding processes when they could not be coded or derived automatically.
If a response is not listed in the classification, it is coded to 'Inadequately described'.
History and changes
A question relating to languages spoken was first asked in the 1933 Census, but not again until the 1976 Census. All Censuses since then have included a similar question.
In 1933, the question asked people who could not read and write in English but were able to read and write in a foreign language, to state that language. In 1976, people were asked for all languages spoken. In 1981 and 1986, all people were asked if they spoke a language other than English at home and, if so, how well they spoke English. In addition to this, since 1991 people have been asked to name their non-English language.
In the 2021 Census, the question wording was amended to include the word 'use' rather than 'speak' to better accommodate members of the community who use sign language.
The response category order has changed based on the most common answers from the 2016 Census:
- 'Yes, Italian' changed from 3rd to 6th position
- 'Yes, Arabic' changed from 4th to 3rd position
- 'Yes, Cantonese' changed from 5th to 4th position
- 'Yes, Greek' changed from 6th to 7th position
- 'Yes, Vietnamese' changed from 7th to 5th position
An enhancement to the online form presented a check box for Aboriginal and/or Torres Strait Islander language for those respondents who identified as Aboriginal and/or Torres Strait Islander in the Indigenous status question. To improve the data collected on Aboriginal and Torres Strait Islander languages, the person also had the option of specifying the language.
Data use considerations
This question only allows for one answer and therefore the number of responses shown in the category '1201 English' is not all persons who use English, but specifically persons who use only English at home.
Persons who report a language other than English to the 'language used at home' question are then asked 'How well does the person speak English?'. Responses to this question are coded to the variable Proficiency in spoken English (ENGLP).
The non-response rate for Language used at home (LANP) was 5.7% in 2021. This is a decrease from 6.5% in 2016.
Useful links
Data downloads
Language used at home classification
Religious affiliation (RELP)
Definition
This variable records a person's religious affiliation. Answering this Census question is optional.
Scope
All persons
Categories
This variable is coded using the Australian Standard Classification of Religious Groups (ASCRG), 2016.
ASCRG major review
Commencing in 2022, the ABS will undertake a major review of the Australian Standard Classification of Religious Groups (ASCRG) and the associated Religious Affiliation standard. The aims of this review are to update the ASCRG to reflect the modern Australian community; and to ensure the standard (the way the question is asked) is inclusive.
Why the ASCRG needs to be updated
While the current version of the ASCRG had some minor updates in 2016, it largely reflects the original 1996 version based on the social environment in Australia at that time. The Australian community has changed considerably over this time and the ASCRG and Standard both need to be reviewed to reflect this. The ABS has also received feedback from individuals and organisations identifying areas that need review. Data from the 2021 Census will further inform the review.
Next steps
The first round of public consultation is scheduled to commence in August 2022. At this time, the ABS will invite feedback through the ABS Consultation Hub, regarding the high priority areas (scope) of the ASCRG and the associated Standard for review. More information will be available at the ABS Consultation Hub in the coming months, including information how to participate in the review process. There will be another consultation process when the proposed changes are released in June 2023.
If you would like more information, please email the ABS at standards@abs.gov.au.
The categories using the ASCRG are listed in groups below. The full list is available from the Data downloads on this page.
1 Buddhism
1 | Buddhism | ||
101 | Buddhism | ||
1011 | Buddhism |
2 Christianity
2 | Christianity | ||
200 | Christianity, nfd | ||
2000 | Christianity, nfd | ||
201 | Anglican | ||
2012 | Anglican Church of Australia | ||
2013 | Anglican Catholic Church | ||
2019 | Anglican, nec | ||
203 | Baptist | ||
2031 | Baptist | ||
205 | Brethren | ||
2051 | Brethren | ||
207 | Catholic | ||
2070 | Catholic, nfd | ||
2071 | Western Catholic | ||
2072 | Maronite Catholic | ||
2073 | Melkite Catholic | ||
2074 | Ukrainian Catholic | ||
2075 | Chaldean Catholic | ||
2076 | Syro Malabar Catholic | ||
2079 | Catholic, nec | ||
211 | Churches of Christ | ||
2110 | Churches of Christ, nfd | ||
2111 | Churches of Christ (Conference) | ||
2112 | Church of Christ (Non-denominational) | ||
2113 | International Church of Christ | ||
213 | Jehovah's Witnesses | ||
2131 | Jehovah's Witnesses | ||
215 | Latter-day Saints | ||
2150 | Latter-day Saints, nfd | ||
2151 | The Church of Jesus Christ of Latter-day Saints | ||
2152 | Community of Christ | ||
217 | Lutheran | ||
2171 | Lutheran | ||
221 | Oriental Orthodox | ||
2210 | Oriental Orthodox, nfd | ||
2212 | Armenian Apostolic | ||
2214 | Coptic Orthodox Church | ||
2215 | Syrian Orthodox Church | ||
2216 | Ethiopian Orthodox Church | ||
2219 | Oriental Orthodox, nec | ||
222 | Assyrian Apostolic | ||
2220 | Assyrian Apostolic, nfd | ||
2221 | Assyrian Church of the East | ||
2222 | Ancient Church of the East | ||
2229 | Assyrian Apostolic, nec | ||
223 | Eastern Orthodox | ||
2230 | Eastern Orthodox, nfd | ||
2231 | Albanian Orthodox | ||
2232 | Antiochian Orthodox | ||
2233 | Greek Orthodox | ||
2234 | Macedonian Orthodox | ||
2235 | Romanian Orthodox | ||
2236 | Russian Orthodox | ||
2237 | Serbian Orthodox | ||
2238 | Ukrainian Orthodox | ||
2239 | Eastern Orthodox, nec | ||
225 | Presbyterian and Reformed | ||
2250 | Presbyterian and Reformed, nfd | ||
2251 | Presbyterian | ||
2252 | Reformed | ||
2253 | Free Reformed | ||
227 | Salvation Army | ||
2271 | Salvation Army | ||
231 | Seventh-day Adventist | ||
2311 | Seventh-day Adventist | ||
233 | Uniting Church | ||
2331 | Uniting Church | ||
24 | Pentecostal | ||
2400 | Pentecostal, nfd | ||
2401 | Apostolic Church (Australia) | ||
2402 | Australian Christian Churches (Assemblies of God) | ||
2403 | Bethesda Ministries International (Bethesda Churches) | ||
2404 | C3 Church Global (Christian City Church) | ||
2406 | International Network of Churches (Christian Outreach Centres) | ||
2407 | CRC International (Christian Revival Crusade) | ||
2411 | Foursquare Gospel Church | ||
2412 | Full Gospel Church of Australia (Full Gospel Church) | ||
2413 | Revival Centres | ||
2414 | Rhema Family Church | ||
2415 | United Pentecostal | ||
2416 | Acts 2 Alliance | ||
2417 | Christian Church in Australia | ||
2418 | Pentecostal City Life Church | ||
2421 | Revival Fellowship | ||
2422 | Victory Life Centre | ||
2423 | Victory Worship Centre | ||
2424 | Worship Centre Network | ||
2499 | Pentecostal, nec | ||
28 | Other Protestant | ||
2800 | Other Protestant, nfd | ||
2801 | Aboriginal Evangelical Missions | ||
2802 | Born Again Christian | ||
2803 | Christian and Missionary Alliance | ||
2804 | Church of the Nazarene | ||
2805 | Congregational | ||
2806 | Ethnic Evangelical Churches | ||
2807 | Independent Evangelical Churches | ||
2808 | Wesleyan Methodist Church | ||
2811 | Christian Community Churches of Australia | ||
2812 | Methodist, so described | ||
2813 | United Methodist Church | ||
2899 | Other Protestant, nec | ||
29 | Other Christian | ||
2900 | Other Christian, nfd | ||
2901 | Apostolic Church of Queensland | ||
2902 | Christadelphians | ||
2903 | Christian Science | ||
2904 | Gnostic Christians | ||
2905 | Liberal Catholic Church | ||
2906 | New Apostolic Church | ||
2907 | New Churches (Swedenborgian) | ||
2908 | Ratana (Maori) | ||
2911 | Religious Science | ||
2912 | Religious Society of Friends (Quakers) | ||
2913 | Temple Society | ||
2915 | Grace Communion International (Worldwide Church of God) | ||
2999 | Other Christian, nec |
3 Hinduism
3 | Hinduism | ||
301 | Hinduism | ||
3011 | Hinduism |
4 Islam
4 | Islam | ||
401 | Islam | ||
4011 | Islam |
5 Judaism
5 | Judaism | ||
501 | Judaism | ||
5011 | Judaism |
6 Other Religions
6 | Other Religions | ||
601 | Australian Aboriginal Traditional Religions | ||
6011 | Australian Aboriginal Traditional Religions | ||
603 | Baha'i | ||
6031 | Baha'i | ||
605 | Chinese Religions | ||
6050 | Chinese Religions, nfd | ||
6051 | Ancestor Veneration | ||
6052 | Confucianism | ||
6053 | Taoism | ||
6059 | Chinese Religions, nec | ||
607 | Druse | ||
6071 | Druse | ||
611 | Japanese Religions | ||
6110 | Japanese Religions, nfd | ||
6111 | Shinto | ||
6112 | Sukyo Mahikari | ||
6113 | Tenrikyo | ||
6119 | Japanese Religions, nec | ||
613 | Nature Religions | ||
6130 | Nature Religions, nfd | ||
6131 | Animism | ||
6132 | Druidism | ||
6133 | Paganism | ||
6135 | Wiccan (Witchcraft) | ||
6139 | Nature Religions, nec | ||
615 | Sikhism | ||
6151 | Sikhism | ||
617 | Spiritualism | ||
6171 | Spiritualism | ||
69 | Miscellaneous Religions | ||
6901 | Mandaean | ||
6902 | Yezidi | ||
6991 | Caodaism | ||
6992 | Church of Scientology | ||
6993 | Eckankar | ||
6994 | Rastafari | ||
6995 | Satanism | ||
6996 | Theosophy | ||
6997 | Jainism | ||
6998 | Zoroastrianism | ||
6999 | Religious Groups, nec |
7 Secular Beliefs and Other Spiritual Beliefs and No Religious Affiliation
7 | Secular Beliefs and Other Spiritual Beliefs and No Religious Affiliation | ||
7000 | Secular Beliefs and Other Spiritual Beliefs and No Religious Affiliation, nfd | ||
71 | No Religion, (so described) | ||
7101 | No Religion, so described | ||
72 | Secular Beliefs | ||
7200 | Secular Beliefs, nfd | ||
7201 | Agnosticism | ||
7202 | Atheism | ||
7203 | Humanism | ||
7204 | Rationalism | ||
7299 | Secular Beliefs, nec | ||
73 | Other Spiritual Beliefs | ||
7300 | Other Spiritual Beliefs, nfd | ||
7301 | Multi Faith | ||
7302 | New Age | ||
7303 | Own Spiritual Beliefs | ||
7304 | Theism | ||
7305 | Unitarian Universalism | ||
7399 | Other Spiritual Beliefs, nec |
Supplementary Codes
Supplementary Codes | |||
0 | Inadequately described | ||
000 | Inadequately described | ||
0000 | Inadequately described | ||
& | Not stated | ||
&&& | Not stated | ||
&&&& | Not stated | ||
V | Overseas visitor | ||
VVV | Overseas visitor | ||
VVVV | Overseas visitor |
Number of categories:
- One digit level: 10
- Two digit/three digit level: 38
- Four digit level: 151
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the person's religion?
More information
How this variable is created
This variable is created from responses to the religious affiliation question, which are coded to the ASCRG.
Respondents could use one of the mark boxes to indicate their religious affiliation or write the name of their religion in the text field. The question includes the 10 most common responses from the 2016 Census as mark boxes, as well as a write in text box.
Responses are coded accordingly:
- Most responses are captured automatically from a mark box response.
- Written responses are coded using a combination of automatic reading and coding processes.
- Remaining responses require manual coding processes when they could not be coded or derived automatically.
- When more than one religion or a mark box religion and a text response is recorded, the responses are accepted in the order they appear on the form and the extra response is rejected.
- If a religion is not listed in the classification, it is coded to 'Inadequately described'.
History and changes
A question on religion has been included in all Australian censuses since 1911. Answering this question has always been optional, the very nature of which is provided for in legislation.
The ASCRG was first published in 1996 and has been used to code religious affiliation for all Australian censuses since. Throughout this time, the classification has evolved to reflect the diverse religious affiliations identified amongst Australia’s population.
From 1991 to 2011 the 'No religion' response category was the last response option. For 2016, a change was made to the question format, moving this category to the first response option. This change was made following the 2016 Census topic review process, where many submissions recommended changes to the Religious affiliation question. 'No religion' was again the first response option in 2021.
For 2021, the response category order has been updated based on the most common responses in the 2016 Census:
- 'Presbyterian' moved from 5th to 7th position
- 'Islam' moved from 7th to 5th position
- 'Greek Orthodox' moved from 8th to 9th position
- 'Baptist' moved from 9th to 10th position
- 'Hinduism' moved from 10th to 8th position.
Changes have also been made to the 'other' examples given in the question instructions.
Data use considerations
The Census question is intended to measure religious affiliation, which may be different from a person's practice of or participation in a religious activity. It allows people to respond with secular or spiritual beliefs and to indicate if they have no religious affiliation at all.
Data on religious affiliation is used for:
- planning the location of educational facilities, aged care and other social services provided by religion-based organisations
- planning the location of church buildings
- the assigning of chaplains to hospitals, prisons, armed services, and universities
- the allocation of time on public radio and other media
- sociological research.
The non-response rate for Religious affiliation (RELP) was 6.9% in 2021. This is a decrease from 9.1% in 2016.
Data downloads
Religious affiliation classification
Year of arrival in Australia (YARP)
Definition
This variable is applicable to persons born overseas and records the year they first arrived in Australia to live for one year or more.
See also, Year of arrival in Australia (ranges) (YARRP).
Scope
Persons born overseas who will be in Australia for more than one year
Categories
Code | Category |
---|---|
1905 - 2021 | 1905 to 2021 singly |
&&&& | Not stated |
@@@@ | Not applicable |
VVVV | Overseas visitor |
Number of categories: 120
Not applicable (@@@@) category comprises:
- Persons who did not state their country of birth
- Persons born in Australia (includes Other Territories)
See Understanding supplementary codes for more information.
Question(s) from the Census form
In which country was the person born?
Example
Example
In what year did the person first arrive in Australia to live for one year or more?
More information
How this variable is created
The Country of birth of person (BPLP) variable is used to determine if a person was born in Australia or overseas. Australia refers to the geographical Australia defined in the Australian Statistical Geography Standard (ASGS).
Data for this variable is captured automatically from written numeric responses, or the 'Will be in Australia less than one year' mark box. High and low values are checked manually to ensure that they match the actual response on the form. A check is made to ensure that a person's stated age is compatible with period of residence.
If a respondent answers they:
- Usually reside in another country, they are coded to 'Overseas visitor'
- Were born overseas and usually reside in Australia but will be in Australia for less than one year, they are coded to 'Not stated'
- Were born in Australia, they are coded to 'Not applicable'
History and changes
A question on year of arrival in Australia, or length of residence, was first asked in the 1911 Census and has been asked in every Census since.
In censuses prior to 1991, the question was asked in terms of number of completed years of residence in Australia.
In 1996, data was collected in categories ranging from 'Before 1981' to '1996'.
From 2001 onwards, data was collected by single year with valid responses in 2011 being in the range 1895 to 2011. For 2016, data was collected by single year with valid responses in the range 1900 to 2016.
For 2021, data is collected by single year with valid responses in the range of 1905 to 2021.
Data use considerations
When this variable is cross-classified with other Census data, it is useful for analysing how the characteristics of migrants change with their length of time in Australia.
Data is available in years singly from 1905 to 2021 (YARP), with 2021 referring to the period from 1 January to 10 August 2021 only.
A check is performed to ensure that a person's stated age is compatible with their period of residence.
The non-response rate for Year of arrival in Australia (YARP) was 2.4% in 2021. This is a decrease from 3.5% in 2016. Where an applicable person has not provided a year of arrival, but has marked the 'Will be in Australia less than one year' mark box, this response is set to not stated.
Year of arrival in Australia (ranges) (YARRP)
Definition
This variable is applicable to persons born overseas and records the year in ranges when they first arrived in Australia to live for one year or more.
See also, Year of Arrival in Australia (YARP).
Scope
Persons born overseas who will be in Australia for more than one year
Categories
Code | Category |
---|---|
1 | Arrived 1905 - 1950 |
2 | Arrived 1951 - 1960 |
3 | Arrived 1961 - 1970 |
4 | Arrived 1971 - 1980 |
5 | Arrived 1981 - 1990 |
6 | Arrived 1991 - 2000 |
7 | Arrived 2001 - 2010 |
8 | Arrived 2011 - 2020 |
9 | Arrived 1 January 2021 - 10 August 2021 |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 12
Not applicable (@) category comprises:
- Persons who did not state their country of birth
- Persons born in Australia (includes Other Territories)
See Understanding supplementary codes for more information.
Question(s) from the Census form
In which country was the person born?
In what year did the person first arrive in Australia to live for one year or more?
More information
How this variable is created
The Country of birth of person (BPLP) variable is used to determine if a person was born in Australia or overseas. Australia refers to the geographical Australia defined in the Australian Statistical Geography Standard (ASGS).
Data for this variable is captured automatically from written numeric responses, or the 'Will be in Australia less than one year' mark box. High and low values are checked manually to ensure that they match the actual response on the form. A check is made to ensure that a person's stated age is compatible with period of residence.
If a respondent answers they:
- Usually reside in another country, they are coded to 'Overseas visitor'
- Were born overseas and usually reside in Australia but will be in Australia for less than one year, they are coded to 'Not stated'
- Were born in Australia, they are coded to 'Not applicable'.
History and changes
A question on year of arrival in Australia, or length of residence, was first asked in the 1911 Census and has been asked in every Census since.
In censuses prior to 1991, the question was asked in terms of number of completed years of residence in Australia.
In 1996, data was collected in categories ranging from 'Before 1981' to '1996'.
From 2001 onwards, data was collected by single year with valid responses in 2011 being in the range 1895 to 2011. For 2016, data was collected by single year with valid responses in the range 1900 to 2016.
For 2021, the year ranges for Year of arrival (YARRP) have been updated.
Data use considerations
There are no known data use considerations at this time.
This variable is derived from Year of arrival in Australia (YARP). The non-response rate for Year of arrival in Australia (YARP) was 2.4% in 2021. This is a decrease from 3.5% in 2016. Where an applicable person has not provided a year of arrival, but has marked the 'Will be in Australia less than one year' mark box, this response is set to not stated.
Disability and carers
Core activity need for assistance (ASSNP)
Definition
This variable records the number of people with a profound or severe core activity limitation. People with a profound or severe core activity limitation are those needing assistance in their day to day lives in one or more of the three core activity areas of self-care, mobility and communication because of:
- a long-term health condition (lasting six months or more)
- a disability (lasting six months or more)
- old age
Scope
All persons
Categories
Code | Category |
---|---|
1 | Has need for assistance with core activities |
2 | Does not have need for assistance with core activities |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Does the person ever need someone to help with, or be with them for, self-care activities?
More Information
Does the person ever need someone to help with, or be with them for, body movement activities?
More information
Does the person ever need someone to help with, or be with them for, communication activities?
More information
What are the reasons for the need for assistance or supervision shown in Questions 24, 25 and 26?
More information
How this variable is created
The Census uses a set of four questions (paper form questions 24-27) to derive ‘core activity need for assistance’. Responses to the questions are captured automatically from mark box responses.
To determine if a person’s need for assistance in one or more of the three core activity areas is due to a long-term health condition, disability or old age, the question on the Census form asks, ‘What are the reasons for the need for assistance or supervision?’.
To be coded to the category ‘Has need for assistance with core activities’, the response needs to be one or more of the following:
- Long-term health condition (lasting six months or more)
- Disability (lasting six months or more)
To be coded to the category ‘Does not have need for assistance with core activities’, the response needs to be one or more of the following:
- No need for assistance
- Short-term health condition (lasting less than six months)
- Difficulty with English language
- Other cause
If a person’s only response is ‘Old or young age’, they are coded as follows:
- If under 40 years of age – ‘Does not have need for assistance with core activities’
- If 40 years or over – ‘Has need for assistance with core activities’
History and changes
The Census ‘Core activity need for assistance’ concept was developed for the 2006 Census to indicate the disability status of people in Australia according to geographic area, and for small groups within the population.
No changes have been made for 2021.
Data use considerations
This variable helps service providers and governments plan what local facilities, services and support are required, such as in-home support, respite care and support to carers.
Of all ABS collections of disability data, only the Survey of Disability, Ageing and Carers (SDAC) is considered to comprehensively measure disability populations, and to provide rates of prevalence at the national and state levels. The Census concept ‘Core activity need for assistance’ is related to the ‘disability status’ information collected in the SDAC. The purpose of the Census is to identify people with a ‘profound or severe core activity limitation’ using similar criteria to the SDAC.
Users wanting more comprehensive information about the disability status of people in Australia should instead refer to the publication Disability, Ageing and Carers, Australia: Summary of Findings, 2018. Despite the conceptual consistency of the measures in the Census and SDAC, abbreviating the set of questions used to collect data on disability, as required for the Census, reduces the number of people who can be classified as having a disability or to a particular level of disability, depending on the concept being collected. The publication, ABS Sources of Disability Information, 2012-2016 examines the different ABS sources of disability data.
The non-response rate for Core activity need for assistance (ASSNP) was 5.9% in 2021. This is a decrease from 7.1% in 2016.
Related variables and glossary terms
- Unpaid assistance to a person with a disability, health condition, or due to old age (UNCAREP)
- Long-term health condition(s)
Unpaid assistance to a person with a disability, health condition, or due to old age (UNCAREP)
Definition
This variable records the number of people who in the two weeks prior to Census Night spent time providing unpaid care, help or assistance to family members or others because of:
- a disability
- a long-term health condition
- problems related to old age
This includes people who are in receipt of a Carer Allowance or Carer Payment. It does not include care provided through a voluntary organisation or group. Occasional help or assistance, such as shopping, is included if the person needs this type of assistance because of their condition.
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | No unpaid assistance provided |
2 | Provided unpaid assistance |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 5
Not applicable (@) category comprises:
- persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
In the last two weeks did the person spend time providing unpaid care, help or assistance to family members or others because of a disability, a long-term health condition, or problems related to old age?
More information
How this variable is created
The responses to the unpaid assistance to a person with a disability, health condition or due to old age question are captured automatically from the mark box responses on the Census form.
History and changes
Questions on unpaid work and care, including ‘Unpaid assistance to a person with a disability’, were first asked for the 2006 Census.
In 2021, the name of the variable changed from ‘Unpaid assistance to a person with a disability’ to ‘Unpaid assistance to a person with a disability, health condition, or due to old age’.
Data use considerations
The question asked about care or assistance provided to another person to assist with daily activities because of disability, long-term illness, or problems related to old age in the two weeks prior to the Census. No information on the amount of time spent on providing such unpaid care was collected. Further to the instructions in the question, the online form prompted respondents to include activities such as (but not limited to):
- bathing
- dressing
- toileting and feeding someone
- helping someone to move around
- helping someone be understood by others
- providing emotional support and helping maintain friendships and social activities
- helping with or supervising medication or dressing wounds
- cleaning
- laundry
- cooking
- managing diets and preparing meals
- performing housework
- light household repairs or maintenance
- managing household finances
- driving or accompanying someone to appointments or activities
Care should be taken when comparing Census data on ‘Unpaid assistance to a person with a disability, health condition, or due to old age’ with information from other surveys and publications. The Survey of Disability, Ageing and Carers collects information on the number of carers and their characteristics. Definitions and methodology can differ between different statistical collections and may not match Census definitions.
The name of this variable changed in 2021, however the scope and content remains the same. If using time series data, the variable was previously called ‘Unpaid assistance to a person with a disability’.
The non-response rate for Unpaid assistance to a person with a disability, health condition, or due to old age (UNCAREP) was 6.7% in 2021. This is a decrease from 8.9% in 2016.
Related variables and glossary terms
- Core activity need for assistance (ASSNP)
- Long-term health condition(s)
Education and training
Mnemonic | Variable | Release | |
---|---|---|---|
EETP | Engagement in employment, education and training | October 2022 | |
HEAP | Level of highest educational attainment | October 2022 | |
HSCP | Highest year of school completed | June 2022 | |
QALFP | Non-school qualification: field of study | October 2022 | |
QALLP | Non-school qualification: level of education | October 2022 | |
STUP | Full-time/part-time student status | June 2022 | |
TYPP | Type of educational institution attending | June 2022 | |
TYSTAP | Educational institution: attendee status | June 2022 |
Engagement in employment, education and training (EETP)
Definition
This variable indicates whether a person is engaged or not engaged in work and/or study. Data can be used to better understand groups of interest, such as youth, or people approaching retirement age, by analysing by age cohorts.
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Fully engaged |
11 | Fully engaged - Engaged through full-time study and full-time employment |
12 | Fully engaged - Primarily engaged through full-time study |
13 | Fully engaged - Primarily engaged through full-time employment |
14 | Fully engaged - Engaged through part-time study and part-time employment |
15 | Fully engaged - Engaged other |
2 | Partially engaged |
21 | Partially engaged - Engaged in part-time study only |
22 | Partially engaged - Engaged in part-time work only |
3 | At least partially engaged |
31 | At least partially engaged |
4 | Not engaged |
41 | Not engaged |
& | Engagement status undetermined/not stated |
&& | Engagement status undetermined/not stated |
@ | Not applicable |
@@ | Not applicable |
V | Overseas visitor |
VV | Overseas visitor |
Number of categories:
- One digit: 7
- Two digit: 12
Not applicable (@@) comprises:
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the person’s date of birth and age?
Example
Example
More information
Is the person attending a school or other education institution?
More Information
Last week, did the person have a job of any kind?
More information
In the main job held last week, was the person: Working for an employer; Working in own business
This question is only applicable for people aged 15 years and over who responded 'Yes, worked for payment or profit' or 'Yes, but absent on holidays, on paid leave, on strike, or temporarily stood down' to the previous question, 'Last week, did the person have a job of any kind?'
Last week, how many hours did the person work in all jobs?
More information
Did the person actively look for work at any time in the last four weeks?
More information
If the person had found a job, could the person have started work last week?
This question is only applicable to people aged 15 years and over who responded 'Yes, looked for full-time work' or 'Yes, looked for part-time work' to the previous question, 'Did the person actively look for work at any time in the last four weeks?'
How this variable is created
Data is derived from the following variables:
- Labour force status and hours worked not stated (LFHRP)
- Full-time/part-time student status (STUP)
- Age (AGEP)
The variables are cross tabulated to identify the type of engagement in work and/or study. Further information is shown in the matrix in the Data downloads section below.
History and changes
This variable was first reported in 2016.
In 2021, the categories have been expanded to provide a more detailed breakdown for 'fully engaged' and 'partially engaged'. This is required for several national reporting measures and allows for more complex analysis.
Data use considerations
For the 2006 and 2011 Censuses, data for this variable can be derived based on existing data items.
People are included in the variable categories according to the criteria below:
Engagement in Employment, Education and Training categories | People included in this category |
---|---|
Fully engaged |
People engaged in full-time work or study People engaged in both work and study (regardless of hours for each) |
Partially engaged |
People employed or studying part-time (and not engaged in both work and study) Examples:
|
At least partially engaged |
People engaged in study or in the labour force, but did not provide enough information to determine if they were fully or partially engaged. Example:
|
Not engaged |
People who are unemployed or not in the labour force (and not attending an educational institution) |
Engagement status undetermined/Not stated |
People who did not state their student status and who were either unemployed or not in the labour force. This category also includes persons who were non-responding (not stated) for both their student status and their labour force status |
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Downloads
National reporting indicators 2021
Level of highest educational attainment (HEAP)
Definition
This variable records a single measure of a person’s overall highest level of educational attainment, whether it be a school or non-school qualification. It helps to build a picture of educational attainment and qualifications across Australia and can be used to:
- compare with data collected in previous Censuses to help understand the changes of educational achievement in Australia over time
- determine the general level of educational achievement of the Australian population and of specific groups in Australian society
- investigate the relationship between levels of education and employment outcomes, income and other socioeconomic variables.
Scope
Persons aged 15 years and over
Categories
Categories for Level of highest educational attainment (HEAP)
1 | Postgraduate Degree Level | ||
---|---|---|---|
10 | Postgraduate Degree Level, nfd | ||
100 | Postgraduate Degree Level, nfd | ||
11 | Doctoral Degree Level | ||
110 | Doctoral Degree Level, nfd | ||
111 | Higher Doctorate | ||
114 | Professional Specialist Qualification, Doctoral Degree Level | ||
12 | Master Degree Level | ||
120 | Master Degree Level, nfd | ||
2 | Graduate Diploma and Graduate Certificate Level | ||
20 | Graduate Diploma and Graduate Certificate Level, nfd | ||
200 | Graduate Diploma and Graduate Certificate Level, nfd | ||
21 | Graduate Diploma Level | ||
211 | Graduate Diploma | ||
22 | Graduate Certificate Level | ||
221 | Graduate Certificate | ||
3 | Bachelor Degree Level | ||
31 | Bachelor Degree Level | ||
310 | Bachelor Degree Level, nfd | ||
4 | Advanced Diploma and Diploma Level | ||
40 | Advanced Diploma and Diploma Level, nfd | ||
400 | Advanced Diploma and Diploma Level, nfd | ||
41 | Advanced Diploma and Associate Degree Level | ||
411 | Advanced Diploma | ||
413 | Associate Degree | ||
42 | Diploma Level | ||
420 | Diploma Level, nfd | ||
421 | Diploma | ||
5 | Certificate III & IV Level | ||
51 | Certificate III & IV Level | ||
510 | Certificate III & IV Level, nfd | ||
511 | Certificate IV | ||
514 | Certificate III | ||
6 | Secondary Education - Years 10 and above | ||
61 | Secondary Education - Years 10 and above | ||
611 | Year 12 | ||
613 | Year 11 | ||
621 | Year 10 | ||
7 | Certificate I & II Level | ||
72 | Certificate I & II Level | ||
720 | Certificate I & II Level, nfd | ||
721 | Certificate II | ||
724 | Certificate I | ||
8 | Secondary Education - Years 9 and below | ||
81 | Secondary Education - Years 9 and below | ||
811 | Year 9 | ||
812 | Year 8 or below | ||
Supplementary Codes | |||
9 | Supplementary Codes | ||
90 | Level of education inadequately described | ||
001 | Inadequately described | ||
91 | No educational attainment | ||
998 | No educational attainment | ||
& | Not stated | ||
&& | Not stated | ||
&&& | Not stated | ||
@ | Not applicable | ||
@@ | Not applicable | ||
@@@ | Not applicable | ||
V | Overseas visitor | ||
VV | Overseas visitor | ||
VVV | Overseas visitor |
Not applicable (@@@) comprises:
• Persons aged under 15 years
Number of categories:
• 1 digit - 12
• 2 digit - 20
• 3 digit - 31
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the highest year of primary or secondary school the person has completed?
More information
Has the person completed any educational qualification?
More information
What is the level of the highest qualification the person has completed?
More information
What is the main field of study for the person’s highest qualification completed?
More information
How this variable is created
Level of highest educational attainment (HEAP) is derived using a combination of two variables:
These variables are sourced from the Census questions.
The derivation process determines which of the 'non-school' and 'school' attainments will be regarded as the highest. Usually the higher-ranking attainment is self-evident, but in some cases Secondary education is regarded as higher than some Certificate level attainments. The following decision table describes how Certificate levels and Highest year of school completed are coded.
Table 1. Derivation of level of Highest educational attainment decision table
Highest year of school completed (HSCP) | Certificate nfd* (500) |
Certificate III & IV nfd* (510) |
Certificate IV (511) |
Certificate III (514) |
Certificate I & II nfd* (520) |
Certificate II (521) |
Certificate I (524) | Level of education inadequately described (011) |
Level of education not stated (&&&) |
---|---|---|---|---|---|---|---|---|---|
Year 12 (1) |
Inadequately described |
Certificate III & IV, nfd |
Certificate IV |
Certificate III |
Year 12 |
Year 12 |
Year 12 |
Inadequately described |
Not stated |
Year 11 (2) |
Inadequately described |
Certificate III & IV, nfd |
Certificate IV |
Certificate III |
Year 11 |
Year 11 |
Year 11 |
Inadequately described |
Not stated |
Year 10 (3) |
Inadequately described |
Certificate III & IV, nfd |
Certificate IV |
Certificate III |
Year 10 |
Year 10 |
Year 10 |
Inadequately described |
Not stated |
Year 9 (4) |
Inadequately described |
Certificate III & IV, nfd |
Certificate IV |
Certificate III |
Certificate I & II nfd |
Certificate II |
Certificate I |
Inadequately described |
Not stated |
Year 8 or below (5) |
Inadequately described |
Certificate III & IV, nfd |
Certificate IV |
Certificate III |
Certificate I & II nfd |
Certificate II |
Certificate I |
Inadequately described |
Not stated |
Did not go to school (6) |
Inadequately described |
Certificate III & IV, nfd |
Certificate IV |
Certificate III |
Certificate I & II nfd |
Certificate II |
Certificate I |
Inadequately described |
Not stated |
Not stated (&) |
Not stated |
Certificate III & IV, nfd |
Certificate IV |
Certificate III |
Not stated |
Not stated |
Not stated |
Not stated |
Not stated |
Note: the number in brackets refer to the classification code used for Highest year of school completed (HSCP) and Non-school qualification: level of education (QALLP).
*nfd: not further defined
History and changes
While questions regarding educational qualifications in general have been asked for every Census since 1911, Level of highest educational attainment, which combines measures of school and non-school education, was first reported in 2006.
In 2011, people in the following categories were assigned a Level of highest educational attainment the same as their highest year of school completed:
- Highest Year of School Completed of Year 8 or below to Year 12
- Certificate not further defined
In 2016, people with ‘Highest Year of School Completed of Year 8 or below to Year 12’ and a ‘Certificate not further defined’ were assigned a Level of highest educational attainment as 'Inadequately described'.
For 2021, Undergraduate certificates are a new qualification and will be coded to category '420 Diploma level, nfd'. In previous Censuses, nothing has been coded to this category. See also Non-school qualification: level of education (QALLP).
Data use considerations
This variable can be used to provide data on Target 6 for the National Agreement for Closing the Gap.
- By 2031, increase the proportion of Aboriginal and Torres Strait Islander people aged 25-34 years who have completed a tertiary qualification (Certificate III and above) to 70 per cent.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Highest year of school completed (HSCP)
- Non-school qualification: field of study (QALFP)
- Non-school qualification: level of education (QALLP)
- Or equivalent level of education
Useful links
Highest year of school completed (HSCP)
Definition
This variable records the highest level of primary or secondary schooling completed. The data is used to help build a picture of the education levels attained in each area of Australia and to assist in the planning of educational facilities.
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Year 12 or equivalent |
2 | Year 11 or equivalent |
3 | Year 10 or equivalent |
4 | Year 9 or equivalent |
5 | Year 8 or below |
6 | Did not go to school |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Coded using the Australian Standard Classification of Education (ASCED), 2001.
Number of categories: 9
Not applicable (@) category comprises:
- Persons aged under 15 years
See the Glossary for further information about the meaning of ‘or equivalent level of education’.
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the highest year of primary or secondary school the person has completed?
More information
How this variable is created
This variable is sourced directly from the highest year of primary or secondary school question on the Census form. The responses are captured automatically from mark box responses. Respondents are asked to only mark one response. Where respondents provided more than one response, the responses are accepted in the order they appear on the form and extra responses are rejected.
History and changes
The question relating to Highest year of school completed where respondents reported their highest level of educational attainment was first asked in the 1911 Census. In 2016 some minor adjustment to the wording of the question instructions was made for the purposes of clarity.
No changes have been made for 2021.
Data use considerations
The 'Still at school' category has been excluded from the classification since 2006. It allowed the level of highest educational attainment to be determined for people still at school. From 2006 onwards, those still studying at school and the year level they are currently in can be identified by cross-classifying Highest year of school completed (HSCP) and Type of educational institution attending (TYPP). Full-time/part-time student status (STUP) may also be used.
The non-response rate for Highest year of school completed (HSCP) was 6.6% in 2021. This is a decrease from 8.6% in 2016.
Useful links
Non-school qualification: field of study (QALFP)
Definition
This variable describes the field of study of a person’s highest completed non-school qualification. Qualifications data is used to:
- help build a picture of the different non-school qualifications undertaken in Australia and how this has changed over time
- assess the skill level of the labour force, and potential labour force
- understand the characteristics of Australia’s workforce when compared with occupation and industry of employment.
Scope
Persons aged 15 years and over who stated a completed qualification
Categories
Non-school qualification: field of study (QALFP) is coded using the Australian Standard Classification of Education (ASCED), 2001. The categories are listed in groups below. The full list is available from the Data downloads on this page.
01 Natural and Physical Sciences
01 | Natural and Physical Sciences | ||
0100 | Natural and Physical Sciences, nfd | ||
010000 | Natural and Physical Sciences, nfd | ||
0101 | Mathematical Sciences | ||
010100 | Mathematical Sciences, nfd | ||
010101 | Mathematics | ||
010103 | Statistics | ||
010199 | Mathematical Sciences, nec | ||
0103 | Physics and Astronomy | ||
010300 | Physics and Astronomy, nfd | ||
010301 | Physics | ||
010303 | Astronomy | ||
0105 | Chemical Sciences | ||
010500 | Chemical Sciences, nfd | ||
010501 | Organic Chemistry | ||
010503 | Inorganic Chemistry | ||
010599 | Chemical Sciences, nec | ||
0107 | Earth Sciences | ||
010700 | Earth Sciences, nfd | ||
010701 | Atmospheric Sciences | ||
010703 | Geology | ||
010705 | Geophysics | ||
010707 | Geochemistry | ||
010709 | Soil Science | ||
010711 | Hydrology | ||
010713 | Oceanography | ||
010799 | Earth Sciences, nec | ||
0109 | Biological Sciences | ||
010900 | Biological Sciences, nfd | ||
010901 | Biochemistry and Cell Biology | ||
010903 | Botany | ||
010905 | Ecology and Evolution | ||
010907 | Marine Science | ||
010909 | Genetics | ||
010911 | Microbiology | ||
010913 | Human Biology | ||
010915 | Zoology | ||
010999 | Biological Sciences, nec | ||
0199 | Other Natural and Physical Sciences | ||
019900 | Other Natural and Physical Sciences, nfd | ||
019901 | Medical Science | ||
019903 | Forensic Science | ||
019905 | Food Science and Biotechnology | ||
019907 | Pharmacology | ||
019909 | Laboratory Technology | ||
019999 | Natural and Physical Sciences, nec |
02 Information Technology
02 | Information Technology | ||
0200 | Information Technology, nfd | ||
020000 | Information Technology, nfd | ||
0201 | Computer Science | ||
020100 | Computer Science, nfd | ||
020101 | Formal Language Theory | ||
020103 | Programming | ||
020105 | Computational Theory | ||
020107 | Compiler Construction | ||
020109 | Algorithms | ||
020111 | Data Structures | ||
020113 | Networks and Communications | ||
020115 | Computer Graphics | ||
020117 | Operating Systems | ||
020119 | Artificial Intelligence | ||
020199 | Computer Science, nec | ||
0203 | Information Systems | ||
020300 | Information Systems, nfd | ||
020301 | Conceptual Modelling | ||
020303 | Database Management | ||
020305 | Systems Analysis and Design | ||
020307 | Decision Support Systems | ||
020399 | Information Systems, nec | ||
0299 | Other Information Technology | ||
029900 | Other Information Technology, nfd | ||
029901 | Security Science | ||
029999 | Information Technology, nec |
03 Engineering and Related Technologies
03 | Engineering and Related Technologies | ||
0300 | Engineering and Related Technologies, nfd | ||
030000 | Engineering and Related Technologies, nfd | ||
0301 | Manufacturing Engineering and Technology | ||
030100 | Manufacturing Engineering and Technology, nfd | ||
030101 | Manufacturing Engineering | ||
030103 | Printing | ||
030105 | Textile Making | ||
030107 | Garment Making | ||
030109 | Footwear Making | ||
030111 | Wood Machining and Turning | ||
030113 | Cabinet Making | ||
030115 | Furniture Upholstery and Renovation | ||
030117 | Furniture Polishing | ||
030199 | Manufacturing Engineering and Technology, nec | ||
0303 | Process and Resources Engineering | ||
030300 | Process and Resources Engineering, nfd | ||
030301 | Chemical Engineering | ||
030303 | Mining Engineering | ||
030305 | Materials Engineering | ||
030307 | Food Processing Technology | ||
030399 | Process and Resources Engineering, nec | ||
0305 | Automotive Engineering and Technology | ||
030500 | Automotive Engineering and Technology, nfd | ||
030501 | Automotive Engineering | ||
030503 | Vehicle Mechanics | ||
030505 | Automotive Electrics and Electronics | ||
030507 | Automotive Vehicle Refinishing | ||
030509 | Automotive Body Construction | ||
030511 | Panel Beating | ||
030513 | Upholstery and Vehicle Trimming | ||
030515 | Automotive Vehicle Operations | ||
030599 | Automotive Engineering and Technology, nec | ||
0307 | Mechanical and Industrial Engineering and Technology | ||
030700 | Mechanical and Industrial Engineering and Technology, nfd | ||
030701 | Mechanical Engineering | ||
030703 | Industrial Engineering | ||
030705 | Toolmaking | ||
030707 | Metal Fitting, Turning and Machining | ||
030709 | Sheetmetal Working | ||
030711 | Boilermaking and Welding | ||
030713 | Metal Casting and Patternmaking | ||
030715 | Precision Metalworking | ||
030717 | Plant and Machine Operations | ||
030799 | Mechanical and Industrial Engineering and Technology, nec | ||
0309 | Civil Engineering | ||
030900 | Civil Engineering, nfd | ||
030901 | Construction Engineering | ||
030903 | Structural Engineering | ||
030905 | Building Services Engineering | ||
030907 | Water and Sanitary Engineering | ||
030909 | Transport Engineering | ||
030911 | Geotechnical Engineering | ||
030913 | Ocean Engineering | ||
030999 | Civil Engineering, nec | ||
0311 | Geomatic Engineering | ||
031100 | Geomatic Engineering, nfd | ||
031101 | Surveying | ||
031103 | Mapping Science | ||
031199 | Geomatic Engineering, nec | ||
0313 | Electrical and Electronic Engineering and Technology | ||
031300 | Electrical and Electronic Engineering and Technology, nfd | ||
031301 | Electrical Engineering | ||
031303 | Electronic Engineering | ||
031305 | Computer Engineering | ||
031307 | Communications Technologies | ||
031309 | Communications Equipment Installation and Maintenance | ||
031311 | Powerline Installation and Maintenance | ||
031313 | Electrical Fitting, Electrical Mechanics | ||
031315 | Refrigeration and Air Conditioning Mechanics | ||
031317 | Electronic Equipment Servicing | ||
031399 | Electrical and Electronic Engineering and Technology, nec | ||
0315 | Aerospace Engineering and Technology | ||
031500 | Aerospace Engineering and Technology, nfd | ||
031501 | Aerospace Engineering | ||
031503 | Aircraft Maintenance Engineering | ||
031505 | Aircraft Operation | ||
031507 | Air Traffic Control | ||
031599 | Aerospace Engineering and Technology, nec | ||
0317 | Maritime Engineering and Technology | ||
031700 | Maritime Engineering and Technology, nfd | ||
031701 | Maritime Engineering | ||
031703 | Marine Construction | ||
031705 | Marine Craft Operation | ||
031799 | Maritime Engineering and Technology, nec | ||
0399 | Other Engineering and Related Technologies | ||
039900 | Other Engineering and Related Technologies, nfd | ||
039901 | Environmental Engineering | ||
039903 | Biomedical Engineering | ||
039905 | Fire Technology | ||
039907 | Rail Operations | ||
039909 | Cleaning | ||
039999 | Engineering and Related Technologies, nec |
04 Architecture and Building
04 | Architecture and Building | ||
0400 | Architecture and Building, nfd | ||
040000 | Architecture and Building, nfd | ||
0401 | Architecture and Urban Environment | ||
040100 | Architecture and Urban Environment, nfd | ||
040101 | Architecture | ||
040103 | Urban Design and Regional Planning | ||
040105 | Landscape Architecture | ||
040107 | Interior and Environmental Design | ||
040199 | Architecture and Urban Environment, nec | ||
0403 | Building | ||
040300 | Building, nfd | ||
040301 | Building Science and Technology | ||
040303 | Building Construction Management | ||
040305 | Building Surveying | ||
040307 | Building Construction Economics | ||
040309 | Bricklaying and Stonemasonry | ||
040311 | Carpentry and Joinery | ||
040313 | Ceiling, Wall and Floor Fixing | ||
040315 | Roof Fixing | ||
040317 | Plastering | ||
040319 | Furnishing Installation | ||
040321 | Floor Coverings | ||
040323 | Glazing | ||
040325 | Painting, Decorating and Sign Writing | ||
040327 | Plumbing | ||
040329 | Scaffolding and Rigging | ||
040399 | Building, nec |
05 Agriculture, Environmental and Related Studies
05 | Agriculture, Environmental and Related Studies | ||
0500 | Agriculture, Environmental and Related Studies, nfd | ||
050000 | Agriculture, Environmental and Related Studies, nfd | ||
0501 | Agriculture | ||
050100 | Agriculture, nfd | ||
050101 | Agricultural Science | ||
050103 | Wool Science | ||
050105 | Animal Husbandry | ||
050199 | Agriculture, nec | ||
0503 | Horticulture and Viticulture | ||
050300 | Horticulture and Viticulture, nfd | ||
050301 | Horticulture | ||
050303 | Viticulture | ||
0505 | Forestry Studies | ||
050501 | Forestry Studies | ||
0507 | Fisheries Studies | ||
050700 | Fisheries Studies, nfd | ||
050701 | Aquaculture | ||
050799 | Fisheries Studies, nec | ||
0509 | Environmental Studies | ||
050900 | Environmental Studies, nfd | ||
050901 | Land, Parks and Wildlife Management | ||
050999 | Environmental Studies, nec | ||
0599 | Other Agriculture, Environmental and Related Studies | ||
059900 | Other Agriculture, Environmental and Related Studies, nfd | ||
059901 | Pest and Weed Control | ||
059999 | Agriculture, Environmental and Related Studies, nec |
06 Health
06 | Health | ||
0600 | Health, nfd | ||
060000 | Health, nfd | ||
0601 | Medical Studies | ||
060100 | Medical Studies, nfd | ||
060101 | General Medicine | ||
060103 | Surgery | ||
060105 | Psychiatry | ||
060107 | Obstetrics and Gynaecology | ||
060109 | Paediatrics | ||
060111 | Anaesthesiology | ||
060113 | Pathology | ||
060115 | Radiology | ||
060117 | Internal Medicine | ||
060119 | General Practice | ||
060199 | Medical Studies, nec | ||
0603 | Nursing | ||
060300 | Nursing, nfd | ||
060301 | General Nursing | ||
060303 | Midwifery | ||
060305 | Mental Health Nursing | ||
060307 | Community Nursing | ||
060309 | Critical Care Nursing | ||
060311 | Aged Care Nursing | ||
060313 | Palliative Care Nursing | ||
060315 | Mothercraft Nursing and Family and Child Health Nursing | ||
060399 | Nursing, nec | ||
0605 | Pharmacy | ||
060501 | Pharmacy | ||
0607 | Dental Studies | ||
060700 | Dental Studies, nfd | ||
060701 | Dentistry | ||
060703 | Dental Assisting | ||
060705 | Dental Technology | ||
060799 | Dental Studies, nec | ||
0609 | Optical Science | ||
060900 | Optical Science, nfd | ||
060901 | Optometry | ||
060903 | Optical Technology | ||
060999 | Optical Science, nec | ||
0611 | Veterinary Studies | ||
061100 | Veterinary Studies, nfd | ||
061101 | Veterinary Science | ||
061103 | Veterinary Assisting | ||
061199 | Veterinary Studies, nec | ||
0613 | Public Health | ||
061300 | Public Health, nfd | ||
061301 | Occupational Health and Safety | ||
061303 | Environmental Health | ||
061305 | Indigenous Health | ||
061307 | Health Promotion | ||
061309 | Community Health | ||
061311 | Epidemiology | ||
061399 | Public Health, nec | ||
0615 | Radiography | ||
061501 | Radiography | ||
0617 | Rehabilitation Therapies | ||
061700 | Rehabilitation Therapies, nfd | ||
061701 | Physiotherapy | ||
061703 | Occupational Therapy | ||
061705 | Chiropractic and Osteopathy | ||
061707 | Speech Pathology | ||
061709 | Audiology | ||
061711 | Massage Therapy | ||
061713 | Podiatry | ||
061799 | Rehabilitation Therapies, nec | ||
0619 | Complementary Therapies | ||
061900 | Complementary Therapies, nfd | ||
061901 | Naturopathy | ||
061903 | Acupuncture | ||
061905 | Traditional Chinese Medicine | ||
061999 | Complementary Therapies, nec | ||
0699 | Other Health | ||
069900 | Other Health, nfd | ||
069901 | Nutrition and Dietetics | ||
069903 | Human Movement | ||
069905 | Paramedical Studies | ||
069907 | First Aid | ||
069999 | Health, nec |
07 Education
07 | Education | ||
0700 | Education, nfd | ||
070000 | Education, nfd | ||
0701 | Teacher Education | ||
070100 | Teacher Education, nfd | ||
070101 | Teacher Education: Early Childhood | ||
070103 | Teacher Education: Primary | ||
070105 | Teacher Education: Secondary | ||
070107 | Teacher-Librarianship | ||
070109 | Teacher Education: Vocational Education and Training | ||
070111 | Teacher Education: Higher Education | ||
070113 | Teacher Education: Special Education | ||
070115 | English as a Second Language Teaching | ||
070117 | Nursing Education Teacher Training | ||
070199 | Teacher Education, nec | ||
0703 | Curriculum and Education Studies | ||
070300 | Curriculum and Education Studies, nfd | ||
070301 | Curriculum Studies | ||
070303 | Education Studies | ||
0799 | Other Education | ||
079999 | Education, nec |
08 Management and Commerce
08 | Management and Commerce | ||
0800 | Management and Commerce, nfd | ||
080000 | Management and Commerce, nfd | ||
0801 | Accounting | ||
080101 | Accounting | ||
0803 | Business and Management | ||
080300 | Business and Management, nfd | ||
080301 | Business Management | ||
080303 | Human Resource Management | ||
080305 | Personal Management Training | ||
080307 | Organisation Management | ||
080309 | Industrial Relations | ||
080311 | International Business | ||
080313 | Public and Health Care Administration | ||
080315 | Project Management | ||
080317 | Quality Management | ||
080319 | Hospitality Management | ||
080321 | Farm Management and Agribusiness | ||
080323 | Tourism Management | ||
080399 | Business and Management, nec | ||
0805 | Sales and Marketing | ||
080500 | Sales and Marketing, nfd | ||
080501 | Sales | ||
080503 | Real Estate | ||
080505 | Marketing | ||
080507 | Advertising | ||
080509 | Public Relations | ||
080599 | Sales and Marketing, nec | ||
0807 | Tourism | ||
080701 | Tourism | ||
0809 | Office Studies | ||
080900 | Office Studies, nfd | ||
080901 | Secretarial and Clerical Studies | ||
080903 | Keyboard Skills | ||
080905 | Practical Computing Skills | ||
080999 | Office Studies, nec | ||
0811 | Banking, Finance and Related Fields | ||
081100 | Banking, Finance and Related Fields, nfd | ||
081101 | Banking and Finance | ||
081103 | Insurance and Actuarial Studies | ||
081105 | Investment and Securities | ||
081199 | Banking, Finance and Related Fields, nec | ||
0899 | Other Management and Commerce | ||
089900 | Other Management and Commerce, nfd | ||
089901 | Purchasing, Warehousing and Distribution | ||
089903 | Valuation | ||
089999 | Management and Commerce, nec |
09 Society and Culture
09 | Society and Culture | ||
0900 | Society and Culture, nfd | ||
090000 | Society and Culture, nfd | ||
0901 | Political Science and Policy Studies | ||
090100 | Political Science and Policy Studies, nfd | ||
090101 | Political Science | ||
090103 | Policy Studies | ||
0903 | Studies in Human Society | ||
090300 | Studies in Human Society, nfd | ||
090301 | Sociology | ||
090303 | Anthropology | ||
090305 | History | ||
090307 | Archaeology | ||
090309 | Human Geography | ||
090311 | Indigenous Studies | ||
090313 | Gender Specific Studies | ||
090399 | Studies in Human Society, nec | ||
0905 | Human Welfare Studies and Services | ||
090500 | Human Welfare Studies and Services, nfd | ||
090501 | Social Work | ||
090503 | Children's Services | ||
090505 | Youth Work | ||
090507 | Care for the Aged | ||
090509 | Care for the Disabled | ||
090511 | Residential Client Care | ||
090513 | Counselling | ||
090515 | Welfare Studies | ||
090599 | Human Welfare Studies and Services, nec | ||
0907 | Behavioural Science | ||
090700 | Behavioural Science, nfd | ||
090701 | Psychology | ||
090799 | Behavioural Science, nec | ||
0909 | Law | ||
090900 | Law, nfd | ||
090901 | Business and Commercial Law | ||
090903 | Constitutional Law | ||
090905 | Criminal Law | ||
090907 | Family Law | ||
090909 | International Law | ||
090911 | Taxation Law | ||
090913 | Legal Practice | ||
090999 | Law, nec | ||
0911 | Justice and Law Enforcement | ||
091100 | Justice and Law Enforcement, nfd | ||
091101 | Justice Administration | ||
091103 | Legal Studies | ||
091105 | Police Studies | ||
091199 | Justice and Law Enforcement, nec | ||
0913 | Librarianship, Information Management and Curatorial Studies | ||
091300 | Librarianship, Information Management and Curatorial Studies, nfd | ||
091301 | Librarianship and Information Management | ||
091303 | Curatorial Studies | ||
0915 | Language and Literature | ||
091500 | Language and Literature, nfd | ||
091501 | English Language | ||
091503 | Northern European Languages | ||
091505 | Southern European Languages | ||
091507 | Eastern European Languages | ||
091509 | Southwest Asian and North African Languages | ||
091511 | Southern Asian Languages | ||
091513 | Southeast Asian Languages | ||
091515 | Eastern Asian Languages | ||
091517 | Australian Indigenous Languages | ||
091519 | Translating and Interpreting | ||
091521 | Linguistics | ||
091523 | Literature | ||
091599 | Language and Literature, nec | ||
0917 | Philosophy and Religious Studies | ||
091700 | Philosophy and Religious Studies, nfd | ||
091701 | Philosophy | ||
091703 | Religious Studies | ||
0919 | Economics and Econometrics | ||
091900 | Economics and Econometrics, nfd | ||
091901 | Economics | ||
091903 | Econometrics | ||
0921 | Sport and Recreation | ||
092100 | Sport and Recreation, nfd | ||
092101 | Sport and Recreation Activities | ||
092103 | Sports Coaching, Officiating and Instruction | ||
092199 | Sport and Recreation, nec | ||
0999 | Other Society and Culture | ||
099900 | Other Society and Culture, nfd | ||
099901 | Family and Consumer Studies | ||
099903 | Criminology | ||
099905 | Security Services | ||
099999 | Society and Culture, nec |
10 Creative Arts
10 | Creative Arts | ||
1000 | Creative Arts, nfd | ||
100000 | Creative Arts, nfd | ||
1001 | Performing Arts | ||
100100 | Performing Arts, nfd | ||
100101 | Music | ||
100103 | Drama and Theatre Studies | ||
100105 | Dance | ||
100199 | Performing Arts, nec | ||
1003 | Visual Arts and Crafts | ||
100300 | Visual Arts and Crafts, nfd | ||
100301 | Fine Arts | ||
100303 | Photography | ||
100305 | Crafts | ||
100307 | Jewellery Making | ||
100309 | Floristry | ||
100399 | Visual Arts and Crafts, nec | ||
1005 | Graphic and Design Studies | ||
100500 | Graphic and Design Studies, nfd | ||
100501 | Graphic Arts and Design Studies | ||
100503 | Textile Design | ||
100505 | Fashion Design | ||
100599 | Graphic and Design Studies, nec | ||
1007 | Communication and Media Studies | ||
100700 | Communication and Media Studies, nfd | ||
100701 | Audio Visual Studies | ||
100703 | Journalism | ||
100705 | Written Communication | ||
100707 | Verbal Communication | ||
100799 | Communication and Media Studies, nec | ||
1099 | Other Creative Arts | ||
109999 | Creative Arts, nec |
11 Food, Hospitality and Personal Services
11 | Food, Hospitality and Personal Services | ||
1100 | Food, Hospitality and Personal Services, nfd | ||
110000 | Food, Hospitality and Personal Services, nfd | ||
1101 | Food and Hospitality | ||
110100 | Food and Hospitality, nfd | ||
110101 | Hospitality | ||
110103 | Food and Beverage Service | ||
110105 | Butchery | ||
110107 | Baking and Pastrymaking | ||
110109 | Cookery | ||
110111 | Food Hygiene | ||
110199 | Food and Hospitality, nec | ||
1103 | Personal Services | ||
110300 | Personal Services, nfd | ||
110301 | Beauty Therapy | ||
110303 | Hairdressing | ||
110399 | Personal Services, nec |
12 Mixed Field Programmes
12 | Mixed Field Programmes | ||
1200 | Mixed Field Programmes, nfd | ||
120000 | Mixed Field Programmes, nfd | ||
1201 | General Education Programmes | ||
120100 | General Education Programmes, nfd | ||
120101 | General Primary and Secondary Education Programmes | ||
120103 | Literacy and Numeracy Programmes | ||
120105 | Learning Skills Programmes | ||
120199 | General Education Programmes, nec | ||
1203 | Social Skills Programmes | ||
120300 | Social Skills Programmes, nfd | ||
120301 | Social and Interpersonal Skills Programmes | ||
120303 | Survival Skills Programmes | ||
120305 | Parental Education Programmes | ||
120399 | Social Skills Programmes, nec | ||
1205 | Employment Skills Programmes | ||
120500 | Employment Skills Programmes, nfd | ||
120501 | Career Development Programmes | ||
120503 | Job Search Skills Programmes | ||
120505 | Work Practices Programmes | ||
120599 | Employment Skills Programmes, nec | ||
1299 | Other Mixed Field Programmes | ||
129999 | Mixed Field Programmes, nec |
Supplementary codes
00 | Field of study inadequately described | ||
0001 | Field of study inadequately described | ||
000110 | Field of study inadequately described | ||
&& | Field of study not stated | ||
&&&& | Field of study not stated | ||
&&&&&& | Field of study not stated | ||
@@ | Not applicable | ||
@@@@ | Not applicable | ||
@@@@@@ | Not applicable | ||
VV | Overseas visitor | ||
VVVV | Overseas visitor | ||
VVVVVV | Overseas visitor |
Number of categories:
- Two digit: 16
- Four digit: 87
- Six digit: 435
Not applicable (@@@@@@) comprises:
- Persons who have a qualification that is out of scope of this classification
- Persons with no qualifications
- Persons still studying for a first qualification
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the highest year of primary or secondary school the person has completed?
More information
Has the person completed any educational qualification?
More information
What is the level of the highest qualification the person has completed?
More information
What is the main field of study for the person’s highest qualification completed?
More information
Did the person complete this qualification before 1998?
How this variable is created
Non-school qualification: field of study (QALFP) is mainly coded based on written responses for qualification level and qualification field questions. The following questions may also be used:
- Highest year of primary or secondary school completed
- Qualification indicator (question asking whether person has completed any educational qualification)
- Whether the qualification was completed before 1998
History and changes
The question on main field of study was first asked in the 1971 Census and has been asked in every Census since then.
In 2001, the Australian Standard Classification of Education (ASCED) replaced the ABS Classification of Qualifications (ABSCQ).
In the 2006 Census, the year completed question was reworded to ask if the qualification was obtained before 1998 or from 1998 onward, with 1998 being the year the Australian Qualifications Framework (AQF) was introduced. The distinction between certificates awarded pre-1998 and from 1998 onward is also used to assist in coding some certificates to finer levels of the ASCED classification.
In 2021, minor instructional text changes to the main field of study question have been made to provide guidance for people with double degrees. The field examples were updated based on prevalence in the 2016 Census and selected to include fields found at the VET and University levels.
Data use considerations
When using this variable, the directly applicable population (i.e. those who answered 'Yes' to the Qualifications indicator question) is not identifiable in the output data set. This is because those who answered 'Yes, other qualification' to the Qualifications indicator question, and then subsequently did not provide a response to the question on main field of highest qualification, are coded to 'not stated' in this variable. Therefore, this variable cannot be used as a count of people who hold a qualification.
The non-response rate for Non-school qualification: field of study (QALFP) was 12.3% in 2021. This is a decrease from 15.1% in 2016.
A large component of non-response for this variable is due to people not answering the Qualification Indicator question and the Non-school qualification: field of study questions. People may have:
- not seen the question relevant to themselves, and did not respond
- been imputed into occupied dwellings where no form had been returned.
It may not be appropriate to consider these groups of non-respondents when calculating non-response for the directly applicable population.
When Non-school qualification: field of study (QALFP) is analysed in conjunction with a 'Yes' response to the Qualifications Indicator question, the non-response rate was 2.3% in 2021. This is an increase from 2.0% in 2016.
Useful links
Data downloads
Non-school qualification: field of study classification
Non-school qualification: level of education (QALLP)
Definition
This variable describes the level of a person’s highest completed non-school qualification. Non-school qualifications are educational attainments other than those of a pre-primary, primary or secondary education level. This information about education will help to:
- build a picture of educational levels in each area of Australia
- show how different groups of people take part in education
- help to plan education services in different areas.
Scope
Persons aged 15 years and over who stated a completed qualification
Categories
Non-school qualification: level of education (QALLP) is coded using the Australian Standard Classification of Education (ASCED), 2001, Level of Education Classification.
Categories for Non-school qualification: level of education (QALLP)
1 | Postgraduate Degree Level | ||
---|---|---|---|
10 | Postgraduate Degree Level, nfd | ||
100 | Postgraduate Degree Level, nfd | ||
11 | Doctoral Degree Level | ||
110 | Doctoral Degree Level, nfd | ||
111 | Higher Doctorate | ||
114 | Professional Specialist Qualification at Doctoral Degree Level | ||
12 | Master Degree Level | ||
120 | Master Degree Level, nfd | ||
2 | Graduate Diploma and Graduate Certificate Level | ||
20 | Graduate Diploma and Graduate Certificate Level, nfd | ||
200 | Graduate Diploma and Graduate Certificate Level, nfd | ||
21 | Graduate Diploma Level | ||
211 | Graduate Diploma | ||
22 | Graduate Certificate Level | ||
221 | Graduate Certificate | ||
3 | Bachelor Degree Level | ||
31 | Bachelor Degree Level | ||
310 | Bachelor Degree Level, nfd | ||
4 | Advanced Diploma and Diploma Level | ||
40 | Advanced Diploma and Diploma Level, nfd | ||
400 | Advanced Diploma and Diploma Level, nfd | ||
41 | Advanced Diploma and Associate Degree Level | ||
411 | Advanced Diploma | ||
413 | Associate Degree | ||
42 | Diploma Level | ||
420 | Diploma Level, nfd | ||
421 | Diploma | ||
5 | Certificate Level | ||
50 | Certificate Level, nfd | ||
500 | Certificate Level, nfd | ||
51 | Certificate III & IV Level | ||
510 | Certificate III & IV Level, nfd | ||
511 | Certificate IV | ||
514 | Certificate III | ||
52 | Certificate I & II Level | ||
520 | Certificate I & II Level, nfd | ||
521 | Certificate II | ||
524 | Certificate I | ||
Supplementary codes | |||
0 | Level of education inadequately described | ||
01 | Level of education inadequately described | ||
011 | Level of education inadequately described | ||
& | Level of education not stated | ||
&& | Level of education not stated | ||
&&& | Level of education not stated | ||
@ | Not applicable | ||
@@ | Not applicable | ||
@@@ | Not applicable | ||
V | Overseas visitor | ||
VV | Overseas visitor | ||
VVV | Overseas visitor |
Number of categories:
- One digit: 9
- Two digit: 17
- Three digit: 25
Not applicable (@@@) comprises:
- Persons who have a qualification that is out of scope of this classification
- Persons with no qualification
- Persons still studying for a first qualification
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the highest year of primary or secondary school the person has completed?
More information
Has the person completed any educational qualification?
More information
What is the level of the highest qualification the person has completed?
More information
What is the main field of study for the person’s highest qualification completed?
More information
Did the person complete this qualification before 1998?
How this variable is created
This variable is mainly coded based on written responses for qualification level and qualification field questions. The following questions may also be used:
- Highest year of primary or secondary school completed
- Qualification indicator (question asking whether a person has completed any educational qualification)
- Whether the qualification was completed before 1998
History and changes
A question relating to level of education was first asked in the 1911 Census and has been asked in every Census since then. In many Censuses, school and non-school qualification were not necessarily separate questions.
In 2001, the Australian Standard Classification of Education (ASCED) replaced the ABS Classification of Qualifications (ABSCQ).
In the 2006 Census, the year completed question was reworded to ask if the qualification was obtained before 1998 or from 1998 onward, with 1998 being the year the Australian Qualifications Framework (AQF) was introduced. The distinction between certificates awarded pre-1998 and from 1998 onward is also used to assist in coding some certificates to finer levels of the ASCED classification.
In 2021, a new qualification called Undergraduate certificates will be coded to ‘420 Diploma Level, nfd’.
Data use considerations
When using this variable, the directly applicable population (i.e. those who answered 'Yes' to the Qualifications indicator question) is not identifiable in the output data set. This is because those who answered 'Yes, other qualification' to the Qualifications indicator question, and then subsequently did not provide a response to the question on level of highest qualification, are coded to 'not stated' in this variable. Therefore, this variable cannot be used as a count of people who hold a qualification.
The non-response rate for Non-school qualification: level of education (QALLP) was 12.4% in 2021. This is a decrease from 16.0% in 2016.
A large component of non-response for this variable is due to people not answering the Qualification Indicator question and the Non-school qualification: level of education questions. People may have:
- not seen the question relevant to themselves, and did not respond
- been imputed into occupied dwellings where no form had been returned.
It may not be appropriate to consider these groups of non-respondents when calculating non-response for the directly applicable population.
When Non-school qualification: level of education (QALLP) is analysed in conjunction with a 'Yes' response to the Qualifications Indicator question, the non-response rate was 2.3% in 2021. This is a decrease from 2.8% in 2016.
Related variables and glossary terms
- Non-school qualification: field of study (QALFP)
- Level of highest educational attainment (HEAP)
- Highest year of school completed (HSCP)
- Attainment of year 12 or certificate II or higher (YR12C2P)
- Attainment of year 12 or certificate III or higher (YR12C3P)
- Attainment of certificate III or higher or working towards a non-school qualification (C3SP)
- With or working towards a non-school qualification (WTNSQP)
- Or equivalent level of education
Full-time/part-time student status (STUP)
Definition
This variable describes the full-time or part-time status of students.
Scope
All persons
Categories
Code | Category |
---|---|
1 | Not attending |
2 | Full-time student |
3 | Part-time student |
4 | Institution (TYPP) stated, full-time/part-time status (STUP) not stated |
& | Both not stated - both institution (TYPP) and full-time/part-time status (STUP) not stated |
V | Overseas visitor |
Number of categories: 6
See Understanding supplementary codes for more information.
Question(s) from the Census form
Is the person attending a school or other education institution?
More information
How this variable is created
This variable is collected from a mark box response to the Full-time/part-time student status question on the Census form. Respondents are asked to mark only one response. In cases where respondents mark more than one response, they are accepted in the order they appear on the form and the extra responses are rejected.
History and changes
A question on current type of attendance at school or other educational institution has been asked since 1976. The categories for Full-time/part-time student status (STUP) were revised for 2011.
For 2021, minor changes were made to the question wording and instructional text to improve clarity. In addition, to emphasise that respondents should include attendance at preschool, the question wording in the online form has changed for people in the household aged six and under. The question asks ‘Is the person attending a preschool, school or other education institution?’.
For 2021, a question instruction was added to the online form to provide guidance to people in COVID-19 affected areas on Census day.
Data use considerations
There are no data use considerations for this variable.
The non-response rate for Full-time/part-time student status (STUP) was 5.6% in 2021. This is a decrease from 6.8% in 2016.
The non-response rates for this variable include 0.1% of respondents (0.2% in 2016) who did not indicate whether they were students at the Full-time/part-time student status question (question 29 on the Census Household form) but went on to state the type of educational institution attended at the next question, Type of of educational institution attending (TYPP).
Useful links
Type of educational institution attending (TYPP)
Definition
This variable records the type of education institution being attended by people who are full-time or part-time students. The category covers preschool through to tertiary institutions. Information on whether a person is attending an education institution is essential for education and labour market planning. It is also used to identify dependent children in family coding.
Scope
Persons attending an education institution
Categories
Code | Category |
---|---|
10 | Preschool |
21 | Primary - Government |
22 | Primary - Catholic |
23 | Primary - other non-Government |
29 | Primary – not further defined |
31 | Secondary - Government |
32 | Secondary - Catholic |
33 | Secondary - other non-Government |
39 | Secondary – not further defined |
41 | Tertiary - vocational education (including TAFE and private training providers) |
42 | Tertiary – university or other higher education |
49 | Tertiary – not further defined |
60 | Other |
&& | Not stated |
@@ | Not applicable |
VV | Overseas visitor |
Number of categories: 16
Not applicable (@@) category comprises:
- Persons not attending an education institution
See Understanding supplementary codes for more information.
Question(s) from the Census form
On the online form the type of education institution attending question is split into two parts. When a respondent selects either 'Primary', 'Secondary' or 'Tertiary institution' they are presented with a second question to described the education institution in more detail.
What type of education institution is the person attending?
More information
Question when respondents select 'Primary school'
More information - Primary school
Question when respondents select 'Secondary school'
More information - Secondary school
Question when respondents select 'Tertiary institution'
How this variable is created
This variable is collected from mark box responses to the Type of education institution question on the Census form. Respondents are asked to mark only one response. In cases where respondents mark more than one response, they are accepted in the order they appear on the form and the extra responses are rejected.
History and changes
Questions relating to current education institution were first asked in the 1911 Census and have been asked at most censuses since then, though the amount of detail asked has varied.
In 2021, output categories have been changed to reflect the question wording changes:
- 'Infants' has been removed from the Primary categories
- 'Technical or Further Educational Institution (including TAFE Colleges)' has been changed to 'Tertiary - Vocational education (including TAFE and private training providers)'
- 'University or other Tertiary Institution' has been changed to 'Tertiary - University or other higher education'
Primary, secondary and tertiary not further defined fields have been added (categories 29, 39, 49) as this question is in two parts on the online form. The not further defined fields will get populated when a person only answers if they are attending an institution but does not specify the type, e.g. Catholic.
To further emphasise attendance at preschool, the question relating to attendance at a school or an education institution has changed on the online form. For people in the household aged six and under, the question asks, ‘Is the person attending a preschool, school or other education institution?’.
For 2021, a question instruction was added to the online form to provide guidance to people in COVID-19 affected areas on Census day. Additional instructions were also added to the Census website – see Data use considerations for more details.
Data use considerations
Lockdown
A number of regions across the country were in various stages of COVID-19 lockdowns on Census day, and the week preceding it, resulting in a greater number of students being educated from home. Guidance on how to correctly respond was provided at the time on the Census website, as follows:
'If you or your child are currently learning from home due to COVID restrictions, please answer the questions reflecting the school or other educational institution you or your child would normally attend.'
Preschool
Users of the data on preschool attendance should be aware that some children who are in childcare may be included in the preschool figures. This has been identified as a problem with interpretation of categories by respondents. See the History and changes section for new instructions for 2021 to help resolve this misunderstanding.
The non-response rate for Type of educational institution attending (TYPP) was 0.8% in 2021. This is a decrease from 2.7% in 2016. This rate is lower than most Census variables as it is only applicable to persons who answered they are a student to the previous question (Full-Time/Part-Time Student Status).
Related variables and glossary terms
- Full-time/part-time student status (STUP)
- Educational institution: attendee status (TYSTAP)
- Attainment of Certificate III or higher or working towards a non-school qualification (C3SP)
- People with or working towards a non-school qualification (WTNSQP)
- Derivation
- Imputation
Useful links
Educational institution: attendee status (TYSTAP)
Definition
This variable combines responses from Type of educational institution attending (TYPP), Full-time/part-time student status (STUP) and Age (AGEP) to indicate a person's attendee status at an education institution. We use this information to understand the education levels of the future workforce of Australia and whether people are taking part in employment, education, or training.
Scope
Persons attending an education institution
Categories
Code | Category |
---|---|
10 | Preschool |
21 | Primary - Government |
22 | Primary - Catholic |
23 | Primary - other non-Government |
29 | Primary - not further defined |
31 | Secondary - Government |
32 | Secondary - Catholic |
33 | Secondary - other non-Government |
39 | Secondary - not further defined |
41 | Tertiary - vocational education (including TAFE and private training providers): full-time student: aged 15-24 years |
42 | Tertiary - vocational education (including TAFE and private training providers): full-time student: aged 25 years and over |
43 | Tertiary - vocational education (including TAFE and private training providers): part-time student: aged 15-24 years |
44 | Tertiary - vocational education (including TAFE and private training providers): part-time student: aged 25 years and over |
45 | Tertiary - vocational education (including TAFE and private training providers): full-time/part-time student status not stated |
51 | Tertiary - university or other higher education: full-time student: aged 15-24 years |
52 | Tertiary - university or other higher education: full-time student: aged 25 years and over |
53 | Tertiary - university or other higher education: part-time student: aged 15-24 years |
54 | Tertiary - university or other higher education: part-time student: aged 25 years and over |
55 | Tertiary - university or other higher education: full-time/part-time student status not stated |
61 | Tertiary - not further defined: full-time student: aged 15-24 years |
62 | Tertiary - not further defined: full-time student: aged 25 years and over |
63 | Tertiary - not further defined: part-time student: aged 15-24 years |
64 | Tertiary - not further defined: part-time student: aged 25 years and over |
65 | Tertiary - not further defined: full-time/part-time student status not stated |
71 | Other: full-time student |
72 | Other: part-time student |
73 | Other: full-time/part-time student status not stated |
&& | Type of educational institution not stated |
@@ | Type of educational institution not applicable |
VV | Overseas visitor |
Number of categories: 30
Not applicable (@@) category comprises:
- Persons not attending an education institution
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the person’s date of birth and age?
Example
Example
More information
Is the person attending a school or other education institution?
More Information
Example
What type of education institution is the person attending?
On the online form the type of education institution attending question is split into two parts. When a respondent selects either 'Primary', 'Secondary' or 'Tertiary institution (e.g. University and vocational education and training, including TAFE and private training providers)' they are presented with a second question to describe the type of education institution in more detail.
More information
Question when respondents select 'Primary school'
More information - Primary school
Question when respondents select 'Secondary school'
More information - Secondary school
Question when respondents select 'Tertiary institution'
How this variable is created
This variable is derived using responses captured from the questions for Type of education institution attending, Full-time/part-time student status and the Age indicated on the Census form.
History and changes
Education institution: attendee status (TYSTAP) was first created for the 2011 Census.
In 2021 the following changes occurred:
- Code numbers have been updated to align better with the TYPP variable.
- Category names have been updated to reflect changes to the question wording (See TYPP).
Also for 2021, primary, secondary and tertiary not further defined fields have been added (categories 29, 39, 61-65) as this question is in two parts on the online form. The not further defined fields will get populated when a person only answers if they are attending an institution but does not specify the type, e.g. Secondary - Catholic.
Data use considerations
There are no data use considerations for this variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Health
Mnemonic | Variable | Release | |
---|---|---|---|
CALTHD | Count of adults (15 years and over) with selected long-term health condition(s) in household | June 2022 | New |
CCLTHD | Count of children with selected long-term health condition(s) in household | June 2022 | New |
CLTHP | Count of selected long-term health conditions | June 2022 | New |
COARASP | Whether has arthritis and asthma | June 2022 | New |
COARDBP | Whether has arthritis and diabetes | June 2022 | New |
COARHDP | Whether has arthritis and heart disease | June 2022 | New |
COARMHP | Whether has arthritis and mental health condition | June 2022 | New |
COASHDP | Whether has asthma and heart disease | June 2022 | New |
COASLCP | Whether has asthma and lung condition | June 2022 | New |
COCNHDP | Whether has cancer and heart disease | June 2022 | New |
CODBHDP | Whether has diabetes and heart disease | June 2022 | New |
CODBKDP | Whether has diabetes and kidney disease | June 2022 | New |
COHDKDP | Whether has heart disease and kidney disease | June 2022 | New |
COHDMHP | Whether has heart disease and mental health condition | June 2022 | New |
COLCMHP | Whether has lung condition and mental health condition | June 2022 | New |
CPLTHD | Count of persons with selected long-term health condition(s) in household | June 2022 | New |
CPLTHRD | Count of persons with selected long-term health condition(s) in household (ranges) | June 2022 | New |
HARTP | Whether has arthritis | June 2022 | New |
HASTP | Whether has asthma | June 2022 | New |
HCANP | Whether has cancer (including remission) | June 2022 | New |
HDEMP | Whether has dementia (including Alzheimer's) | June 2022 | New |
HDIAP | Whether has diabetes (excluding gestational diabetes) | June 2022 | New |
HHEDP | Whether has heart disease (including heart attack or angina) | June 2022 | New |
HKIDP | Whether has kidney disease | June 2022 | New |
HLTHP | Whether has one or more long-term health condition(s) | June 2022 | New |
HLUNP | Whether has lung condition (including COPD and emphysema) | June 2022 | New |
HMHCP | Whether has mental health condition (including depression or anxiety) | June 2022 | New |
HOLHP | Whether has other long-term health condition(s) | June 2022 | New |
HSTRP | Whether has had a stroke | June 2022 | New |
LTHP | Type of long-term health condition | June 2022 | New |
Count of adults (15 years and over) with selected long-term health condition(s) in household (CALTHD)
Definition
This variable counts the number of adults aged 15 years and over in a household who reported they had at least one of the selected long-term health conditions. Selected long-term health conditions include:
- arthritis
- asthma
- cancer (including remission)
- dementia (including Alzheimer’s)
- diabetes (excluding gestational diabetes)
- heart disease (including heart attack or angina)
- kidney disease
- lung condition (including COPD or emphysema)
- mental health condition (including depression or anxiety)
- stroke
‘Any other long-term health condition(s)’ are excluded from the count.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
0 | No adults reported a selected long-term health condition |
1 | One adult reported a selected long-term health condition |
2 | Two adults reported a selected long-term health condition |
3 | Three adults reported a selected long-term health condition |
4 | Four adults reported a selected long-term health condition |
5 | Five or more adults reported a selected long-term health condition |
6 | Some adults in household had not stated long-term health condition |
& | All adults in household not stated |
@ | Not applicable |
Number of categories: 9
Not applicable (@) comprises:
- Visitor only households
- Other non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s date of birth and age?
More information
Example
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question and the Age (AGEP) variable. It counts the number of people aged 15 years and over in a household who have marked one of the following long-term health conditions:
- arthritis
- asthma
- cancer (including remission)
- dementia (including Alzheimer's)
- diabetes (excluding gestational diabetes)
- heart disease (including heart attack or angina)
- kidney disease
- lung condition (including COPD or emphysema)
- mental health condition (including depression or anxiety)
- stroke
If all people aged 15 years or over in the household did not answer the long-term health conditions question, this variable is set to ‘Not stated’.
If some people aged 15 years or over in the household did not answer the long-term health conditions question, this variable is set to category 6, ‘Some adults in household had not stated long-term health condition’.
If a person marks only ‘Any other long-term health condition(s)’, they are not counted as having a long-term health condition in this variable. These people are counted in category 0 'No adults reported a selected long-term health condition'.
Visitor only households and other non-classifiable households are excluded. People away from the dwelling on Census Night are excluded from this variable.
History and changes
This is a new variable for 2021.
Data use considerations
Count of adults (15 years and over) with selected long-term health condition(s) in household (CALTHD) should be used carefully when comparing to other health data from within the ABS and for external organisations or agencies. Relevant definitions and response categories can differ between different statistical collections and may not match Census definitions. For more information, see Comparing ABS long-term health conditions data sources.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. The proportion of dwellings where either all people in the household did not answer the long-term health conditions question, or some people in the household did not answer the long-term health conditions question, was 6.3%.
Related variables and glossary terms
- Count of children with selected long-term health condition(s) in household (CCLTHD)
- Count of persons with selected long-term health condition(s) in household (CPLTHD)
- Count of persons with selected long-term health condition(s) in household (ranges) (CPLTHRD)
- Relationship in household (RLHP)
- Long-term health condition(s)
Count of children with selected long-term health condition(s) in household (CCLTHD)
Definition
This variable counts the number of children under 15 years in a household who reported they had at least one of the selected long-term health conditions. Selected long-term health conditions include:
- arthritis
- asthma
- cancer (including remission)
- dementia (including Alzheimer’s)
- diabetes (excluding gestational diabetes)
- heart disease (including heart attack or angina)
- kidney disease
- lung condition (including COPD or emphysema)
- mental health condition (including depression or anxiety)
- stroke
‘Any other long-term health condition(s)’ are excluded from the count.
Scope
Occupied private dwellings with children
Categories
Code | Category |
---|---|
0 | No children reported a selected long-term health condition |
1 | One child reported a selected long-term health condition |
2 | Two children reported a selected long-term health condition |
3 | Three children reported a selected long-term health condition |
4 | Four children reported a selected long-term health condition |
5 | Five or more children reported a selected long-term health condition |
6 | Some children in household had a not stated long-term health condition |
& | All children in household not stated |
@ | Not applicable |
Number of categories: 9
Not applicable (@) comprises:
- Lone person households
- Visitor only households
- Other non-classifiable households
- One family household: Couple family with no children
- Two family household: Couple family with no children
- Three or more family household: Couple family with no children
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s date of birth and age?
More information
Example
What is the person’s relationship to Person 1/Person 2?
More information
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question and the Age (AGEP) variable. It counts the number of people aged under 15 years in a household who have marked one of the following long-term health conditions:
- arthritis
- asthma
- cancer (including remission)
- dementia (including Alzheimer’s)
- diabetes (excluding gestational diabetes)
- heart disease (including heart attack or angina)
- kidney disease
- lung condition (including COPD or emphysema)
- mental health condition (including depression or anxiety)
- stroke
If all people under 15 years in the household did not answer the long-term health conditions question, this variable is set to ‘Not stated’.
If some people aged under 15 years in the household did not answer the long-term health conditions question, this variable is set to category 6, ‘Some children in household had not stated long-term health condition’
If a person marks only ‘Any other long-term health condition(s)’, they are not counted as having a long-term health condition in this variable. These people are counted in category 0 'No children reported a selected long-term health condition'.
Visitor only households, other non-classifiable households and lone person households are excluded. People away from the dwelling on Census Night are excluded from this variable.
History and changes
This is a new variable for 2021.
Data use considerations
Count of children with selected long-term health condition(s) in household (CCLTHD) should be used carefully when comparing to other health data from within the ABS and for external organisations or agencies. Relevant definitions and response categories can differ between different statistical collections and may not match Census definitions. For more information, see Comparing ABS long-term health conditions data sources.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. The proportion of dwellings where either all people in the household did not answer the long-term health conditions question, or some people in the household did not answer the long-term health conditions question, was 5.6%.
Related variables and glossary terms
- Count of adults (15 years and over) with selected long-term health conditions in household (CALTHD)
- Count of persons with selected long-term health conditions in household (CPLTHD)
- Count of persons with selected long-term health conditions in household (ranges) (CPLTHRD)
- Relationship in household (RLHP)
- Long-term health condition(s)
Count of selected long-term health conditions (CLTHP)
Definition
This variable describes the number of selected long-term health conditions a person has reported. The selected long-term health conditions include:
- arthritis
- asthma
- cancer (including remission)
- dementia (including Alzheimer’s)
- diabetes (excluding gestational diabetes)
- heart disease (including heart attack or angina)
- kidney disease
- lung condition (including COPD or emphysema)
- mental health condition (including depression or anxiety)
- stroke
‘Any other long-term health condition(s)’ are excluded from the count.
Scope
All persons
Categories
Code | Category |
---|---|
0 | None of the selected conditions |
1 | One condition |
2 | Two conditions |
3 | Three or more conditions |
& | Not stated |
V | Overseas visitor |
Number of categories: 6
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the Long-term health conditions question. It counts the number of selected long-term conditions a person reports.
If a person marks only ‘Any other long-term health condition(s)’ on the Census form, they are not counted as having a long-term health condition in this variable. These people are counted in category 0, 'None of the Selected Conditions'. However, if a person selects, for example, ‘Asthma’ and ‘Any other long-term health condition(s)’ on the Census form, they would be included in category 1, ‘One condition’.
People who report over three conditions are grouped together in category 3, ‘Three or more conditions’.
History and changes
This is a new variable for 2021.
Data use considerations
The count of selected long-term health condition responses, including no conditions, are not comparable to similar counts derived from other health collections such as the National Health Survey (NHS) and National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS). Different sets of selected health conditions questions are asked in these other collections. For more information, see Comparing ABS long-term health conditions data sources.
The non-response rate for Count of long-term health conditions (CLTHP) was 8.1% in 2021.
Related variables and glossary terms
- Type of long-term health condition (LTHP)
- Long-term health condition(s)
Whether has arthritis and asthma (COARASP)
Definition
This variable describes whether a person has reported having both arthritis and asthma.
Scope
All persons
Categories
Code | Category |
---|---|
1 | Has arthritis and asthma |
2 | Does not have arthritis and asthma |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).
Where a respondent selects ‘Arthritis’ and ‘Asthma’ they are coded to '1 Has arthritis and asthma’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to '2 Does not have arthritis and asthma’.
If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.
History and changes
This is a new variable for 2021.
Data use considerations
Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of long-term health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Survey (NATSIHS).
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. For the item non-response rate for the health question, see CLTHP.
Whether has arthritis and diabetes (COARDBP)
Definition
This variable describes whether a person has reported having both arthritis and diabetes (excluding gestational diabetes).
Scope
All persons
Categories
Code | Category |
---|---|
1 | Has arthritis and diabetes |
2 | Does not have arthritis and diabetes |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).
Where a respondent selects ‘Arthritis’ and ‘Diabetes (excluding gestational diabetes)’ they are coded to category 1 'Has arthritis and diabetes’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to category 2 'Does not have arthritis and diabetes’.
If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.
History and changes
This is a new variable for 2021.
Data use considerations
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.
Whether has arthritis and heart disease (COARHDP)
Definition
This variable describes whether a person has reported having both arthritis and heart disease (including heart attack or angina).
Scope
All persons
Categories
Code | Category |
---|---|
1 | Has arthritis and heart disease |
2 | Does not have arthritis and heart disease |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).
When a respondent selects ‘Arthritis’ and ‘Heart disease (including heart attack or angina)’ they are coded to 1 ‘Has arthritis and heart disease’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have arthritis and heart disease’.
If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.
History and changes
This is a new variable for 2021.
Data use considerations
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.
Whether has arthritis and mental health condition (COARMHP)
Definition
This variable describes whether a person has reported having both arthritis and a mental health condition (including depression and anxiety).
Scope
All persons
Categories
Code | Category |
---|---|
1 | Has arthritis and mental health condition |
2 | Does not have arthritis and mental health condition |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).
Where a respondent selects ‘Arthritis’ and ‘Mental health condition (including depression and anxiety)’ they are coded to 1 ‘Has arthritis and mental health condition’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have arthritis and mental health condition’.
If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.
History and changes
This is a new variable for 2021.
Data use considerations
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.
Whether has asthma and heart disease (COASHDP)
Definition
This variable describes whether a person has reported having both asthma and heart disease (including heart attack or angina).
Scope
All persons
Categories
Code | Category |
---|---|
1 | Has asthma and heart disease |
2 | Does not have asthma and heart disease |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).
Where a respondent selects ‘Asthma’ and ‘Heart disease (including heart attack or angina)’ they are coded to 1 ‘Has asthma and heart disease’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have asthma and heart disease’.
If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.
History and changes
This is a new variable for 2021.
Data use considerations
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.
Whether has asthma and lung condition (COASLCP)
Definition
This variable describes whether a person has reported having both asthma and a lung condition (including COPD or emphysema).
Scope
All persons
Categories
Code | Category |
---|---|
1 | Has asthma and lung condition |
2 | Does not have asthma and lung condition |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).
Where a respondent selects ‘Asthma’ and ‘Lung condition (including COPD or emphysema)’ they are coded to 1 ‘Has asthma and lung condition’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have asthma and lung condition’.
If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.
History and changes
This is a new variable for 2021.
Data use considerations
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.
Whether has cancer and heart disease (COCNHDP)
Definition
This variable describes whether a person has reported having both cancer (including remission) and heart disease (including heart attack or angina).
Scope
All persons
Categories
Code | Category |
---|---|
1 | Has cancer and heart disease |
2 | Does not have cancer and heart disease |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).
Where a respondent selects ‘Cancer (including remission)’ and ‘Heart disease (including heart attack or angina)’ they are coded to 1 ‘Has cancer and heart disease’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have cancer and heart disease’.
If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.
History and changes
This is a new variable for 2021.
Data use considerations
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.
Whether has diabetes and heart disease (CODBHDP)
Definition
This variable describes whether a person has reported having both diabetes (excluding gestational diabetes) and heart disease (including heart attack or angina).
Scope
All persons
Categories
Code | Category |
---|---|
1 | Has diabetes and heart disease |
2 | Does not have diabetes and heart disease |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).
Where a respondent selects ‘Diabetes (excluding gestational diabetes)’ and ‘Heart disease (including heart attack or angina)’ they are coded to 1 ‘Has diabetes and heart disease’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have diabetes and heart disease’.
If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.
History and changes
This is a new variable for 2021.
Data use considerations
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.
Whether has diabetes and kidney disease (CODBKDP)
Definition
This variable describes whether a person has reported having both diabetes (excluding gestational diabetes) and kidney disease.
Scope
All persons
Categories
Code | Category |
---|---|
1 | Has diabetes and kidney disease |
2 | Does not have diabetes and kidney disease |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).
Where a respondent selects ‘Diabetes (excluding gestational diabetes)’ and ‘Kidney disease’ they are coded to 1 ‘Has diabetes and kidney disease’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have diabetes and kidney disease’.
If a person has more than one specified combination of long-term health conditions, they will be captured in more than one comorbidity health variable.
History and changes
This is a new variable for 2021.
Data use considerations
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.
Whether has heart disease and kidney disease (COHDKDP)
Definition
This variable describes whether a person has reported having both heart disease (including heart attack or angina) and kidney disease.
Scope
All persons
Categories
Code | Category |
---|---|
1 | Has heart disease and kidney disease |
2 | Does not have heart disease and kidney disease |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).
Where a respondent selects ‘Heart disease (including heart attack or angina)’ and ‘Kidney disease’ they are coded to 1 ‘Has heart disease and kidney disease’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have heart disease and kidney disease’.
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
History and changes
This is a new variable for 2021.
Data use considerations
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.
Whether has heart disease and mental health condition (COHDMHP)
Definition
This variable describes whether a person has reported having both heart disease (including heart attack or angina) and a mental health condition (including depression and anxiety).
Scope
All persons
Categories
Code | Category |
---|---|
1 | Has heart disease and mental health condition |
2 | Does not have heart disease and mental health condition |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).
Where a respondent selects ‘Heart disease (including heart attack or angina)’ and ‘Mental health condition (including depression and anxiety) they are coded to 1 ‘Has heart disease and mental health condition’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have heart disease and mental health condition’.
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
History and changes
This is a new variable for 2021.
Data use considerations
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.
Whether has lung condition and mental health condition (COLCMHP)
Definition
This variable describes whether a person has reported having both a lung condition (including COPD and emphysema) and a mental health condition (including depression and anxiety).
Scope
All persons
Categories
Code | Category |
---|---|
1 | Has lung condition and mental health condition |
2 | Does not have lung condition and mental health condition |
& | Not stated |
V | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question and aims to capture people who have specific combinations of health conditions (known as comorbidity).
Where a respondent selects ‘Lung condition (including COPD and emphysema)’ and ‘Mental health condition (including depression and anxiety)’ they are coded to 1 ‘Has lung condition and mental health condition’. The respondent could also have other long-term health conditions, but those conditions are not recorded in this variable. All other combinations of responses, including ‘No long-term health condition’ are coded to 2 ‘Does not have lung condition and mental health condition’.
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
History and changes
This is a new variable for 2021.
Data use considerations
If a person has more than one specified combination, they will be captured in more than one comorbidity health variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.
Count of persons with selected long-term health condition(s) in household (CPLTHD)
Definition
This variable counts the number of people in a household who reported they had at least one of the selected long-term health conditions. Selected long-term health conditions include:
- arthritis
- asthma
- cancer (including remission)
- dementia (including Alzheimer’s)
- diabetes (excluding gestational diabetes)
- heart disease (including heart attack or angina)
- kidney disease
- lung condition (including COPD or emphysema)
- mental health condition (including depression or anxiety)
- stroke.
‘Any other long-term health condition(s)’ are excluded from the count.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
00 | No persons in household reported a long-term health condition |
01 | One person in household reported a long-term health condition |
02 | Two persons in household reported a long-term health condition |
03 | Three persons in household reported a long-term health condition |
04 | Four persons in household reported a long-term health condition |
05 | Five persons in household reported a long-term health condition |
06 | Six persons in household reported a long-term health condition |
07 | Seven persons in household reported a long-term health condition |
08 | Eight persons in household reported a long-term health condition |
09 | Nine persons in household reported a long-term health condition |
10 | Ten or more persons in household reported a long-term health condition |
11 | Some persons in household had not stated a long-term health condition |
&& | All persons in household not stated |
@@ | Not applicable |
Number of categories: 14
Not applicable (@@) comprises:
- Visitor only households
- Other non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question. It counts the number of people in a household who have marked one of the following long-term health conditions:
- arthritis
- asthma
- cancer (including remission)
- dementia (including Alzheimer’s)
- diabetes (excluding gestational diabetes)
- heart disease (including heart attack or angina)
- kidney disease
- lung condition (including COPD or emphysema)
- mental health condition (including depression or anxiety)
- stroke.
If all people in the household did not answer the long-term health conditions question, this variable is set to ‘All persons in household not stated’.
If some people in the household did not answer the long-term health conditions question, this variable is set to category 11, ‘Some persons in household had not stated a long-term health condition’.
If a person marks only ‘Any other long-term health condition(s)’, they are not counted as having a long-term health condition in this variable. These people are counted in category 00 'No persons in the household have a long-term health condition'.
Visitor only households and Other non-classifiable households are excluded. Persons temporarily absent are excluded from this variable.
History and changes
This is a new variable for 2021.
Data use considerations
Count of persons with selected long-term health condition(s) in household (CPLTHD) should be used carefully when comparing to other health data from within the ABS and for external organisations or agencies. Relevant definitions and response categories can differ between different statistical collections and may not match Census definitions. For more information, see Comparing ABS long-term health conditions data sources.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form. The proportion of dwellings where either all people in the household did not answer the long-term health conditions question, or some people in the household did not answer the long-term health conditions question, was 7.3%.
Related variables and glossary terms
- Count of persons with selected long-term health condition(s) in household (ranges) (CPLTHRD)
- Count of adults (15 years and over) with selected long-term health conditions in household (CALTHD)
- Count of children with selected long-term health conditions in household (CCLTHD)
- Long-term health condition(s)
Count of persons with selected long-term health condition(s) in household (ranges) (CPLTHRD)
Definition
This variable counts the number of people in a household who reported they had at least one of the selected long-term health conditions in ranges. Selected long-term health conditions include:
- arthritis
- asthma
- cancer (including remission)
- dementia (including Alzheimer’s)
- diabetes (excluding gestational diabetes)
- heart disease (including heart attack or angina)
- kidney disease
- lung condition (including COPD or emphysema)
- mental health condition (including depression or anxiety)
- stroke.
‘Any other long-term health condition(s)’ are excluded from the count.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
0 | No persons in household reported a long-term health condition |
1 | One person in household reported a long-term health condition |
2 | Two persons in household reported a long-term health condition |
3 | Three persons in household reported a long-term health condition |
4 | Four persons in household reported a long-term health condition |
5 | Five or more persons in household reported a long-term health condition |
6 | Some persons in household had not stated a long-term health condition |
& | All persons in household not stated |
@ | Not applicable |
Number of categories: 9
Not applicable (@) comprises:
- Visitor only households
- Other non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question. It counts the number of people in a household who have marked one of the following long-term health conditions:
- arthritis
- asthma
- cancer (including remission)
- dementia (including Alzheimer’s)
- diabetes (excluding gestational diabetes)
- heart disease (including heart attack or angina)
- kidney disease
- lung condition (including COPD or emphysema)
- mental health condition (including depression or anxiety)
- stroke.
If all people in the household did not answer the long-term health conditions question, this variable is set to ‘All persons in household not stated’.
If some people in the household did not answer the long-term health conditions question, this variable is set to category 6, ‘Some persons in household had not stated a long-term health condition’.
If a person marks only ‘Any other long-term health condition(s)’, they are not counted as having a long-term health condition in this variable. These people are counted in category 0 'No persons in household reported a long-term health condition'.
Visitor only households and Other non-classifiable households are excluded. Persons temporarily absent are excluded from this variable.
History and changes
This is a new variable for 2021.
Data use considerations
Count of persons with selected long-term health condition(s) in household (ranges) (CPLTHRD) should be used carefully when comparing to other health data from within the ABS and for external organisations or agencies. Relevant definitions and response categories can differ between different statistical collections and may not match Census definitions. For more information, see Comparing ABS long-term health conditions data sources.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
The proportion of dwellings where either all people in the household did not answer the long-term health conditions question, or some people in the household did not answer the long-term health conditions question, was 7.3%.
Related variables and glossary terms
- Count of persons with selected long-term health condition(s) in household (CPLTHD)
- Count of adults (15 years and over) with selected long-term health conditions in household (CALTHD)
- Count of children with selected long-term health conditions in household (CCLTHD)
- Long-term health condition(s)
Whether has arthritis (HARTP)
Definition
This variable describes whether a person reported that they have arthritis.
Scope
All persons
Categories
Code | Category |
---|---|
011 | Has arthritis |
012 | Does not have arthritis |
&&& | Not stated |
VVV | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Arthritis’ on the form.
History and changes
This is a new variable for 2021.
Data use considerations
The question does not distinguish between osteoarthritis and rheumatoid arthritis therefore this variable will include respondents reporting both forms of arthritis.
Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.
Whether has asthma (HASTP)
Definition
This variable describes whether a person has been told by a doctor or nurse that they have asthma. This variable does not indicate whether a person has multiple long-term health conditions.
Scope
All persons
Categories
Code | Category |
---|---|
021 | Has asthma |
022 | Does not have asthma |
&&& | Not stated |
VVV | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Asthma’ on the form.
History and changes
This is a new variable for 2021.
Data use considerations
Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.
Whether has cancer (including remission) (HCANP)
Definition
This variable describes whether a person has been told by a doctor or nurse that they have cancer. This variable does not indicate whether a person has multiple long-term health conditions.
Scope
All persons
Categories
Code | Category |
---|---|
031 | Has cancer (including remission) |
032 | Does not have cancer (including remission) |
&&& | Not stated |
VVV | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Cancer (including remission)’ on the form.
History and changes
This is a new variable for 2021.
Data use considerations
Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).
Respondents may have reported both malignant and benign neoplasms (cancers) in response to this question.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.
Whether has dementia (including Alzheimer's) (HDEMP)
Definition
This variable describes whether a person has been told by a doctor or nurse that they have dementia (including Alzheimer’s). This variable does not indicate whether a person has multiple long-term health conditions.
Scope
All persons
Categories
Code | Category |
---|---|
041 | Has dementia (including Alzheimer’s) |
042 | Does not have dementia (including Alzheimer's) |
&&& | Not stated |
VVV | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Dementia (including Alzheimer’s)’ on the form.
History and changes
This is a new variable for 2021.
Data use considerations
Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.
Related variables and glossary terms
- Type of long-term health condition (LTHP)
Whether has diabetes (excluding gestational diabetes) (HDIAP)
Definition
This variable describes whether a person has been told by a doctor or nurse that they have diabetes (excluding gestational diabetes). This variable does not indicate whether a person has multiple long-term health conditions.
Scope
All persons
Categories
Code | Category |
---|---|
051 | Has diabetes (excluding gestational diabetes) |
052 | Does not have diabetes (excluding gestational diabetes) |
&&& | Not stated |
VVV | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Diabetes (excluding gestational diabetes)’ on the form.
History and changes
This is a new variable for 2021.
Data use considerations
The Census Health question does not distinguish between type 1 and type 2 diabetes. Therefore, this variable will include respondents reporting both forms of diabetes.
Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.
Whether has heart disease (including heart attack or angina) (HHEDP)
Definition
This variable describes whether a person has been told by a doctor or nurse that they have heart disease (including heart attack or angina). This variable does not indicate whether a person has multiple long-term health conditions.
Scope
All persons
Categories
Code | Category |
---|---|
061 | Has heart disease (including heart attack or angina) |
062 | Does not have heart disease (including heart attack or angina) |
&&& | Not stated |
VVV | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Heart disease (including heart attack or angina)’ on the Census form.
History and changes
This is a new variable for 2021.
Data use considerations
Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.
Whether has kidney disease (HKIDP)
Definition
This variable describes whether a person has been told by a doctor or nurse that they have kidney disease. This variable does not indicate whether a person has multiple long-term health conditions.
Scope
All persons
Categories
Code | Category |
---|---|
071 | Has kidney disease |
072 | Does not have kidney disease |
&&& | Not stated |
VVV | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Kidney disease’ on the Census form.
History and changes
This is a new variable for 2021.
Data use considerations
Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.
Whether has one or more long-term health condition(s) (HLTHP)
Definition
This variable identifies the population who has at least one long-term health condition (including any other long-term health conditions) and the population who reported they did not have a long-term health condition.
Scope
All persons
Categories
Code | Category |
---|---|
121 | Does not have a long-term health condition |
122 | Has one or more long-term health condition(s) |
&&& | Not stated |
VVV | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked that they have one or more long-term health conditions (including ‘Any other long-term health condition(s)’). It also counts the number of people who marked ‘No long-term health condition’.
For a count of the number of selected long-term health conditions a person has, refer to Count of selected long-term health conditions (CLTHP).
History and changes
This is a new question for the 2021 Census.
Data use considerations
There are no data use considerations for this variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.
Related variables and glossary terms
- Count of selected long-term health conditions (CLTHP)
- Long-term health condition(s)
Whether has lung condition (including COPD and emphysema) (HLUNP)
Definition
This variable describes whether a person has been told by a doctor or nurse that they have a lung condition (including Chronic Obstructive Pulmonary Disorder (COPD) or emphysema). This variable does not indicate whether a person has multiple long-term health conditions.
Scope
All persons
Categories
Code | Category |
---|---|
081 | Has a lung condition (including COPD or emphysema) |
082 | Does not have a lung condition (including COPD or emphysema) |
&&& | Not stated |
VVV | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Lung condition (including COPD or emphysema)’ on the form.
History and changes
This is a new variable for 2021.
Data use considerations
Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.
Whether has mental health condition (including depression or anxiety) (HMHCP)
Definition
This variable describes whether a person has been told by a doctor or nurse that they have a mental health condition (including depression or anxiety). This variable does not indicate whether a person has multiple long-term health conditions.
Scope
All persons
Categories
Code | Category |
---|---|
091 | Has a mental health condition (including depression or anxiety) |
092 | Does not have a mental health condition (including depression or anxiety) |
&&& | Not stated |
VVV | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Mental health condition (including depression or anxiety)’ on the form.
History and changes
This is a new variable for 2021.
Data use considerations
Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.
Whether has other long-term health condition(s) (HOLHP)
Definition
This variable describes whether a person has been told by a doctor or nurse that they have a long-term health condition that is not:
- arthritis
- asthma
- cancer (including remission)
- dementia (including Alzheimer’s)
- diabetes (excluding gestational diabetes)
- heart disease (including heart attack or angina)
- kidney disease
- lung conditions (including COPD or emphysema)
- mental health conditions (including depression or anxiety)
- stroke
This variable does not indicate whether a person has multiple long-term health conditions.
Scope
All persons
Categories
Code | Category |
---|---|
111 | Has one or more other long-term health conditions |
112 | Does not have any other long-term health conditions |
&&& | Not stated |
VVV | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Any other long-term health condition(s)’.
History and changes
This is a new variable for 2021.
Data use consideration
There are no data use considerations for this variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.
Related variables and glossary terms
- Type of long-term health condition (LTHP)
Whether has had a stroke (HSTRP)
Definition
This variable describes whether a person has been told by a doctor or nurse that they have had a stroke. This variable does not indicate whether a person has multiple long-term health conditions.
Scope
All persons
Categories
Code | Category |
---|---|
101 | Has had a stroke |
102 | Has not had a stroke |
&&& | Not stated |
VVV | Overseas visitor |
Number of categories: 4
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
This variable is derived from responses to the long-term health conditions question. It counts the number of people who marked ‘Stroke’ on the form.
History and changes
This is a new variable for 2021.
Data use considerations
Long-term health conditions data from the Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the National Health Survey (NHS) or National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS).
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the Health question, see CLTHP.
Related variables and glossary terms
- Long term health condition (LTHP)
Type of long-term health condition (LTHP)
Definition
This variable records the type of selected long-term health condition(s) a person has reported. Respondents can record multiple long-term health conditions including:
- arthritis
- asthma
- cancer (including remission)
- dementia (including Alzheimer’s)
- diabetes (excluding gestational diabetes)
- heart disease (including heart attack or angina)
- kidney disease
- lung condition (including COPD or emphysema)
- mental health condition (including depression or anxiety)
- stroke
- any other long-term health condition(s)
Scope
All persons
Categories
Code | Category |
---|---|
011 | Arthritis |
021 | Asthma |
031 | Cancer (including remission) |
041 | Dementia (including Alzheimer’s) |
051 | Diabetes (excluding gestational diabetes) |
061 | Heart disease (including heart attack or angina) |
071 | Kidney disease |
081 | Lung condition (including COPD or emphysema) |
091 | Mental health condition (including depression or anxiety) |
101 | Stroke |
111 | Any other long-term health condition(s) |
121 | No long-term health condition(s) |
&&& | Not stated |
VVV | Overseas visitor |
Number of categories: 14
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person been told by a doctor or nurse that they have any of these long-term health conditions?
How this variable is created
Data for this variable is derived from the long-term health conditions question. If the respondent marks ‘No long-term health condition’ and also marks other fields, the ‘No long-term health condition’ response is ignored.
As respondents can select multiple conditions, the count of components for this variable will not equal the total number of people.
History and changes
This is a new variable for 2021.
Data use considerations
The rationale for including the long-term health conditions topic in the 2021 Census was to:
- allow for cross-classification with other Census topics
- enable output for sub-populations (e.g. culturally and linguistically diverse (CALD) or Aboriginal and Torres Strait Islander populations)
- enable data outputs at finer geographies than what can be achieved through existing health collections.
Long-term health condition information collected in the 2021 Census will not have the same level of detail as the larger health collections such as the National Health Survey (NHS) and National Aboriginal and Torres Strait Islander Health Surveys (NATSIHS). Long-term health conditions data from Census is not intended to provide prevalence estimates. Prevalence estimates of chronic health conditions should be sourced from the NHS or NATSIHS.
As Type of long-term health condition allows for multiple responses, proportions of people with a particular condition should be derived using the total population in the denominator for the relevant aggregation, and not the sum of all conditions.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form. For the item non-response rate for the health question, see CLTHP.
Related variables and glossary terms
- Count of selected long-term health conditions (CLTHP)
- Long-term health condition(s)
Household and families
Mnemonic | Variable | Release | |
---|---|---|---|
CACF | Count of all children in family | June 2022 | |
CDCAF | Count of dependent children under 15 in family temporarily absent | June 2022 | |
CDCF | Count of dependent children in family | June 2022 | |
CDCUF | Count of dependent children under 15 in family | June 2022 | New |
CDSAF | Count of dependent students (15-24 years) in family temporarily absent | June 2022 | |
CDSF | Count of dependent students (15-24 years) in family | June 2022 | New |
CNDAF | Count of non-dependent children temporarily absent | June 2022 | |
CNDCF | Count of non-dependent children in family | June 2022 | |
CPAD | Count of persons temporarily absent from household | June 2022 | |
CPAF | Count of persons temporarily absent from family | June 2022 | |
CPRF | Count of persons in family | June 2022 | |
CTGP | Child type (including grandchildren) | June 2022 | |
CTPP | Child type | June 2022 | |
FBLF | Family blending | June 2022 | |
FMCF | Family composition | June 2022 | |
FMGF | Grandparent families | June 2022 | |
FNOF | Family number | June 2022 | |
FPIP | Parent indicator | June 2022 | New |
FRLF | Relationship between families | June 2022 | |
HCFMD | Family household composition (dwelling) | June 2022 | |
HCFMF | Family household composition (family) | June 2022 | |
HHCD | Household composition | June 2022 | |
IFMSTP | Imputation flag for registered marital status | June 2022 | |
IFNMFD | Imputation flag for number of males and females in dwelling | June 2022 | |
MDCP | Social marital status | June 2022 | |
MSTP | Registered marital status | June 2022 | |
NPRD | Number of persons usually resident in dwelling | June 2022 | |
RLCP | Relationship as reported for couples | June 2022 | |
RLGP | Relationship in household (including grandchildren) | June 2022 | |
RLHP | Relationship in household | June 2022 | |
RPIP | Family/household reference person indicator | June 2022 | |
SLPP | Sex of lone parent | June 2022 | |
SPIP | Spouse/partner indicator | June 2022 | New |
SPLF | Location of spouse | June 2022 | |
SSCF | Same-sex couple indicator | June 2022 |
Count of all children in family (CACF)
Definition
This variable counts the number of dependent and non-dependent children in the family. It includes up to three children who were temporarily absent from the household on Census Night.
Scope
Families with children in family households
Categories
Code | Category |
---|---|
1 | One child in family |
2 | Two children in family |
3 | Three children in family |
4 | Four children in family |
5 | Five children in family |
6 | Six or more children in family |
@ | Not applicable |
Number of categories: 7
Not applicable (@) category comprises:
- Couples in families with no children
- Other families
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is Person 2's relationship to Person 1?
More information
What is Person 1's date of birth?
More information
Is Person 1 attending a school or any other education institution?
More information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
More information
More information
How this variable is created
This variable is created from the relationship in household, age, attendance at an educational institution and persons temporarily absent (PTA) questions on the Census form.
Children present in the household are counted if they are part of the family and are classified as one of the following Relationship in household (RLHP) categories:
- children under 15 (categories 31-36)
- dependent student (categories 41-43)
- non-dependent child (categories 51-53)
Children who are absent from the household on Census Night are counted from responses to the PTA questions. The responses are first categorised based on age and student status and then counted in this variable. The three temporarily absent child variables are:
History and changes
This variable was first introduced in 2011.
No changes have been made for 2021.
Data use considerations
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Count of dependent children under 15 in family temporarily absent (CDCAF)
Definition
This variable counts the number of dependent children aged under 15 years that were reported as temporarily absent from the family.
Scope
Families which include children aged under 15 years
Categories
Code | Category |
---|---|
0 | No dependent children under 15 years temporarily absent |
1 | One dependent child under 15 years temporarily absent |
2 | Two dependent children under 15 years temporarily absent |
3 | Three dependent children under 15 years temporarily absent |
@ | Not applicable |
Number of categories: 5
Not applicable (@) category comprises:
- Couple families with no children under 15 years, no dependent students and no non-dependent children
- One parent or couple families with no children under 15 years, and with dependent students and non-dependent children
- One parent or couple families with no children under 15 years, and with dependent students and no non-dependent children
- One parent or couple families with no children under 15 years, no dependent students and with non-dependent children
- Other families
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
More information
How this variable is created
This variable is derived from the persons temporarily absent (PTA) questions on the Census form to count the number of children under 15 who were absent from the family on Census Night. Dependent children under 15 are classified if they form a parent child relationship and are 0-14 years of age.
History and changes
This variable was first introduced in 1996. Prior to 2016, information on dependent children was available in a variable called Dependent offspring present (CDPF). This was a single count of dependent children Temporarily absent.
No changes have been made for 2021.
Data use considerations
Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the persons temporarily absent section of the form. This can occur in both family and group households. Due to form limitations, a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Count of dependent children under 15 in family (CDCUF)
- Relationship in household (RLHP)
- Child
- Temporarily absent
Useful links
Count of dependent children in family (CDCF)
Definition
This variable counts the number of dependent children in the family. A dependent child is a person who is either a child under 15 years of age, or a dependent student aged 15-24 years. It includes up to three dependent children who were temporarily absent from the dwelling on Census Night.
Scope
Families with children in family households
Categories
Code | Category |
---|---|
Couple family with: | |
00 | No dependent children |
01 | One dependent child |
02 | Two dependent children |
03 | Three dependent children |
04 | Four dependent children |
05 | Five dependent children |
06 | Six or more dependent children |
One parent family with: | |
07 | No dependent children |
08 | One dependent child |
09 | Two dependent children |
10 | Three dependent children |
11 | Four dependent children |
12 | Five dependent children |
13 | Six or more dependent children |
Not applicable: | |
@@ | Not applicable |
Number of categories: 15
Not applicable (@@) category comprises:
- Couple families with no children
- Other families
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
What is Person 1's date of birth?
More information
Is Person 1 attending a school or any other education institution?
More information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
More information
More information
How this variable is created
This variable is created from responses to relationship in household, age, attendance at an educational institution and persons temporarily absent (PTA) questions on the Census form.
It counts the number of dependent children in couple families and one parent families.
The Family composition (FMCF) variable is used to determine whether the family is a couple family or a one parent family.
Dependent children present in the household are counted if they are part of the family and are classified as one of the following Relationship in household (RLHP) categories:
- children under 15 (categories 31-36)
- dependent student (categories 41-43)
Dependent children who are temporarily absent from the household on Census Night are counted from the following variables:
History and changes
This variable was first introduced in 2011.
No changes have been made for 2021.
Data use considerations
Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the Persons temporarily absent section of the form. This can occur in both family and group households. Due to form limitations, a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Count of dependent children under 15 in family (CDCUF)
Definition
This variable counts the number of dependent children aged under 15 years in a family. It includes up to three dependent children aged under 15 years who were temporarily absent from the household on Census Night.
Scope
Families which include dependent children aged under 15 years in household
Categories
Code | Category |
---|---|
Couple family with: | |
00 | No dependent children under 15 years |
01 | One dependent child under 15 years |
02 | Two dependent children under 15 years |
03 | Three dependent children under 15 years |
04 | Four dependent children under 15 years |
05 | Five dependent children under 15 years |
06 | Six or more dependent children under 15 years |
One parent family with: | |
07 | No dependent children under 15 years |
08 | One dependent child under 15 years |
09 | Two dependent children under 15 years |
10 | Three dependent children under 15 years |
11 | Four dependent children under 15 years |
12 | Five dependent children under 15 years |
13 | Six or more dependent children under 15 years |
@@ | Not applicable |
Number of categories: 15
Not applicable (@@) category comprises:
- Couple family with no children
- Other families
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is Person 2's relationship to Person 1?
More information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
More information
More information
How this variable is created
This variable is derived from responses to the Relationship in household question and persons temporarily absent (PTA) questions on the Census form. It counts the number of dependent children in couple families and one parent families using the following variables:
History and Changes
This variable is new for 2021.
Data use considerations
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Count of dependent students (15-24 years) in family temporarily absent (CDSAF)
Definition
This variable counts the number of dependent students aged 15-24 years that were reported as temporarily absent in a family. It includes up to three dependent students who were temporarily absent from the dwelling on Census Night.
Scope
Families which include dependent students aged 15-24 years
Categories
Code | Category |
---|---|
0 | No dependent students (15-24 years) temporarily absent |
1 | One dependent student (15-24 years) temporarily absent |
2 | Two dependent students (15-24 years) temporarily absent |
3 | Three dependent students (15-24 years) temporarily absent |
@ | Not applicable |
Number of categories: 5
Not applicable (@) category comprises:
- Couple families with no children under 15 years, no dependent students and no non-dependent children
- One parent or couple families with children under 15 years, no dependent students and with non-dependent children
- One parent or couple families with children under 15 years, no dependent students and no non-dependent children
- One parent or couple families with no children under 15 years, no dependent students and with non-dependent children
- Other families
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
More information
More information
How this variable is created
This variable is derived from responses to the persons temporarily absent (PTA) questions on the Census form. Dependent students (15-24 years) are classified if they are 15-24 years of age and a full-time student.
History and changes
This variable was first introduced in 1996. Prior to 2016, information on dependent children was available in the Dependent offspring present (CDPF) variable. This was a single count of dependent children temporarily absent.
No changes have been made for 2021.
Data use considerations
Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the persons temporarily absent section of the form. This can occur in both family and group households. Due to form limitations, a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Count of dependent students (15 – 24 years) in family (CDSF)
- Child
- Temporarily absent
Count of dependent students (15-24 years) in family (CDSF)
Definition
This variable counts the number of dependent students aged 15-24 years in a family. It includes up to three dependent students aged 15-24 years who were temporarily absent from the household on Census Night.
Scope
Families which include dependent students aged 15-24 years
Categories
Code | Category |
---|---|
Couple family with: | |
00 | No dependent students (15-24 years) |
01 | One dependent student (15-24 years) |
02 | Two dependent students (15-24 years) |
03 | Three dependent students (15-24 years) |
04 | Four dependent students (15-24 years) |
05 | Five dependent students (15-24 years) |
06 | Six or more dependent students (15-24 years) |
One parent family with: | |
07 | No dependent students (15-24 years) |
08 | One dependent student (15-24 years) |
09 | Two dependent students (15-24 years) |
10 | Three dependent students (15-24 years) |
11 | Four dependent students (15-24 years) |
12 | Five dependent students (15-24 years) |
13 | Six or more dependent students (15-24 years) |
@@ | Not applicable |
Number of categories: 15
- Not applicable (@@) category comprises:
- Couple family with no children
- Other families
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
What is Person 1's date of birth?
More information
Is Person 1 attending a school or any other education institution?
More information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
More information
More information
How this variable is created
This variable is created from responses to relationship in household, age, attendance at a educational institution and persons temporarily absent (PTA) questions on the Census form.
It counts the number of dependent students (15-24 years) in couple families and one parent families.
The Family composition (FMCF) variable is used to determine whether the family is a couple family or a one parent family.
Dependent students present in the household are counted if they are part of the family and are classified as one of the following Relationship in household (RLHP) categories:
- 41 Natural or adopted dependent student
- 42 Student step child
- 43 Student foster child
Up to three dependent students (15-24 years) who are temporarily absent from the household on Census Night can be counted in the Count of dependent students (15-24 years) temporarily absent (CDSAF) variable.
History and changes
This variable is new for 2021.
Data use considerations
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Count of non-dependent children in family temporarily absent (CNDAF)
Definition
This variable counts the number of non-dependent children reported as temporarily absent from the family on Census Night. A maximum of three people can be reported and coded as temporarily absent from the dwelling.
A non-dependent child refers to a natural, adopted, step or foster child of a couple or lone parent usually resident in the household. They are aged 15 years and over and not a full-time student aged 15-24 years. They also have no identified partner or child of their own usually resident in the household.
Scope
Families which include non-dependent children
Categories
Code | Category |
---|---|
0 | No non-dependent children temporarily absent |
1 | One non-dependent child temporarily absent |
2 | Two non-dependent children temporarily absent |
3 | Three non-dependent children temporarily absent |
@ | Not applicable |
Number of categories: 5
Not applicable (@) category comprises:
- Couple families with no children under 15 years, no dependent students and no non-dependent children
- One parent or couple families with children under 15 years, dependent students and no non-dependent children
- One parent or couple families with children under 15 years, no dependent students and no non-dependent children
- One parent or couple families with no children under 15 years, and with dependent students and no non-dependent children
- Other families
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
More information
More information
How this variable is created
This variable is derived from responses to the persons temporarily absent (PTA) questions on the Census form. Non-dependent children are classified if they are:
- children who are 15-24 years of age who are not full-time students
- children aged 25 years and over
History and changes
This variable was first introduced in 1996. It replaced a variable called Other offspring temporarily absent (COAF).
No changes have been made for 2021.
Data use considerations
Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the Persons temporarily absent section of the form. This can occur in both family and group households. Due to form limitations, a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Count of non-dependent children in family (CNDCF)
- Relationship in household (RLHP)
- Child
- Temporarily absent
Count of non-dependent children in family (CNDCF)
Definition
This variable counts the number of non-dependent children in the family. It includes up to three non-dependent children who were temporarily absent from the household on Census Night.
A non-dependent child refers to a natural, adopted, step or foster child of a couple or lone parent usually resident in the household. They are aged 15 years and over and not a full-time student aged 15-24 years. They also have no identified partner or child of their own usually resident in the household.
Scope
Families with children in family households
Categories
Code | Category |
---|---|
Couple family with: | |
00 | No non-dependent children |
01 | One non-dependent child |
02 | Two non-dependent children |
03 | Three non-dependent children |
04 | Four non-dependent children |
05 | Five non-dependent children |
06 | Six or more non-dependent children |
One parent family with: | |
07 | No non-dependent children |
08 | One non-dependent child |
09 | Two non-dependent children |
10 | Three non-dependent children |
11 | Four non-dependent children |
12 | Five non-dependent children |
13 | Six or more non-dependent children |
Not applicable: | |
@@ | Not applicable |
Number of categories: 15
Not applicable (@@) category comprises:
- Couple families with no children
- Other families
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
What is Person 1's date of birth?
More information
Is Person 1 attending a school or any other education institution?
More information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
More information
More information
How this variable is created
This variable is created from responses to relationship in household, age, attendance at a educational institution and persons temporarily absent (PTA) questions on the Census form.
It counts the number of non-dependent children in couple families and one parent families.
The Family composition (FMCF) variable is used to determine whether the family is a couple family or a one parent family.
Non-dependent children present in the household are counted if they are part of the family and are classified as one of the following Relationship in household (RLHP) categories:
- 51 Non-dependent natural, or adopted child
- 52 Non-dependent step child
- 53 Non-dependent foster child
Up to three non-dependent children who are temporarily absent from the household on Census Night can be counted from the variable Count of dependent students (15-24 years) temporarily absent (CDSAF).
History and changes
This variable was first introduced in 2011.
No changes have been made for 2021.
Data use considerations
Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the Persons temporarily absent section of the form. This can occur in both family and group households. Due to form limitations, a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Count of persons temporarily absent from household (CPAD)
Definition
This variable counts the total number of people who were reported as temporarily absent from the household. A maximum of three people can be reported and coded as temporarily absent.
Scope
Family and group households
Categories
Code | Category |
---|---|
0 | No persons temporarily absent from household |
1 | One person temporarily absent from household |
2 | Two persons temporarily absent from household |
3 | Three persons temporarily absent from household |
@ | Not applicable |
Number of categories: 5
Not applicable (@) category comprises:
- Lone person households
- Visitor only households
- Other non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
How this variable is created
This variable is derived from the persons temporarily absent (PTA) questions on the Census form. The count includes:
- husbands/wives
- de facto partners
- unrelated flatmates or co-tenants
- children (i.e. dependent children under 15 years, dependent students (15-24 years) and non-dependent children).
History and changes
This question was first asked in the 1986 Census.
No changes have been made for 2021.
Data use considerations
This data is subject to a family coding process so that only those persons who form a Family group (that is partners, children and grandchildren aged under 15 years), and Unrelated persons living in group households are included. Family members who are not identified as members of the Family group are not included in Count of persons temporarily absent from household.
Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the Persons temporarily absent section of the form. This can occur in both Family and Group households. Due to form limitations, a maximum of three people can be reported and coded as Temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Count of dependent children under 15 in family temporarily absent (CDCAF)
- Count of dependent students (15 – 24 years) in family temporarily absent (CDSAF)
- Count of non-dependent children in family temporarily absent (CNDAF)
- Temporarily absent
Count of persons temporarily absent from family (CPAF)
Definition
This variable counts the total number of people who were temporarily absent from a family on Census Night. The count of persons temporarily absent includes husbands/wives/partners, de facto partners, and children (dependent children aged under 15 years, dependent students (15-24 years) and non-dependent children). A maximum of three people can be coded as temporarily absent in the dwelling.
Scope
Families in family households
Categories
Code | Category |
---|---|
0 | No persons temporarily absent from family |
1 | One person temporarily absent from family |
2 | Two persons temporarily absent from family |
3 | Three persons temporarily absent from family |
@ | Not applicable |
Number of categories: 5
Not applicable (@) category comprises:
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
How this variable is created
This variable is derived from the persons temporarily absent (PTA) questions on the Census form. Persons included in the main family structure are processed to create this variable. They include:
- partner
- child
- grandchild aged under 15.
Other family members not included in the main family structure are removed.
History and changes
This question was first introduced in 1996.
No changes have been made for 2021.
Data use considerations
Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the Persons temporarily absent section of the form. This can occur in both family and group households. Due to form limitations, a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
Count of persons in family (CPRF)
Definition
This variable counts the number of people in a family.
It includes other related people such as:
- people outside of the primary couple relationship
- people outside of a lone parent-child relationship
- non blood relatives (e.g. in-laws).
Scope
Families in family households
Categories
Code | Category |
---|---|
2 | Two persons in family |
3 | Three persons in family |
4 | Four persons in family |
5 | Five persons in family |
6 | Six or more persons in family |
@ | Not applicable |
Number of categories: 6
Not applicable (@) category comprises:
- Unrelated persons living in family households
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
How this variable is created
This variable is derived from the following variables:
It includes up to three persons who were temporarily absent from the family on Census Night.
History and changes
This variable was first introduced in 2011.
No changes have been made for 2021.
Data use considerations
Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the persons temporarily absent section of the form. This can occur in both family and group households. Due to form limitations, a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Child type (including grandchildren) (CTGP)
Definition
This variable records the different child types within a family, including grandchildren. It recognises a grandchild regardless of the age of the grandchild. This variable is different to the standard Child type (CTPP) variable which does not capture grandchildren.
This variable can only be used with other related grandparent/grandchild variables. These variables are:
It cannot be used with standard family variables.
Scope
All children
Categories
Code | Category |
---|---|
1 | Natural, or adopted child of both parents or lone parent |
2 | Step child of male parent |
3 | Step child of female parent |
4 | Foster child, so stated |
5 | Grandchild |
6 | Otherwise related child (under 15) |
7 | Unrelated child (under 15) |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 9
Not applicable (@) category comprises:
- Husband, wife, partners, lone parents, other related individuals, non-family members, or visitors (from within Australia) in family households
- Persons in non-family/non-classifiable households
- Persons in non-private dwellings
- Persons in migratory, off-shore and shipping SA1s
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
What is the person's date of birth and age?
More information
Is the person attending a school or other education institution?
More information
For each person away, complete the following questions:
Example
More information
More information
More information
How this variable is created
This variable is created using responses to the relationship in household, age, attendance at an educational institution and persons temporarily absent (PTA) questions on the Census form. It is derived from the Relationship in household (including grandparents) (RLGP) variable.
This variable classifies a person as a grandchild, regardless of age, if their Relationship in household (including grandchildren) (RLGP) to the family reference person is either a:
- 34 Grandchild under 15
- 44 Dependent student grandchild
- 54 Non dependent grandchild
Child type (including grandchildren) (CTGP) is different to the standard family variable Child type (CTPP). The table below outlines these differences and how each variable classifies the child.
Scenario | How it would be coded in CTGP | How it would be coded in CTPP |
---|---|---|
Person aged 15 years or more and has relationship of grandchild to Person 1/Person 2 | 5 Grandchild | @ Not applicable |
Person aged under 15 and has relationship of grandchild to Person 1/Person 2 | 5 Grandchild | 35 Otherwise related child under 15 |
History and changes
This variable was created in 2011.
No changes have been made for 2021.
Data use considerations
Users should note that grandparent-grandchild relationships are constructed for the purposes of family coding in order to create a statistical family. It may not be representative of who provides care.
For example, a scenario could be that a 20 year old grandchild lives with her grandmother. She is a full-time student and is dependent on her grandmother. Alternatively, she may have moved in with her grandmother specifically to take care of her. It is important that users do not make assumptions about grandparent families.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Child type (CTPP)
Definition
This variable identifies different parent-child relationships within families.
Scope
All children
Categories
Code | Category |
---|---|
1 | Natural, or adopted child of both parents or lone parent |
2 | Step child of male parent |
3 | Step child of female parent |
4 | Foster child, so stated |
5 | Otherwise related child (under 15) |
6 | Unrelated child (under 15) |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 8
Not applicable (@) category comprises:
- Husband, wife, partners, lone parents, other related individuals, non-family members, or visitors (from within Australia) in family households
- Persons in non-family/non-classifiable households
- Persons in non-private dwellings
- Persons in migratory, off-shore and shipping SA1s
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
More information
How this variable is created
This variable is derived from the Relationship in household question on the Census form.
Children are classified as:
- A ‘child’ if the person is aged under 15 years of age
- 'Otherwise related child' when they live with another adult relative (e.g. older sibling, aunt, uncle) and no natural, adoptive, step-, foster-, or grand- parent is identified
- 'Unrelated child' when no relative is identified within the same dwelling.
Persons aged over 15 years and over are classified as:
- ‘Children’ if they are living with a natural, adoptive, step, foster or grandparent
- 'Not applicable’ if they are a boarder and/or lodger aged 15 years and over
In some cases, children are listed on the Census form as Person 2. In this case, if both parents are usual residents, the response 'Child of both Person 1 and Person 2' is not available in the relationship question for Person 2. Coders attempt to establish whether the child was a step child or child of both parents using other information such as surname.
History and changes
A question on the relationships between members of a household has been asked in all censuses since 1911. This variable has been output since 1991.
No changes have been made for 2021.
Data use considerations
This variable captures complex family structures such as blended families or multiple generations of families within a household. The quality of family data in the Census is partly dependent on people’s ability to describe these relationships within the constraints of the generalised questionnaire format required by a Census.
The categories 'step child' and 'foster child' are not necessarily pure counts as a parent may report such a child as being a child of Person 1 and Person 2. In this case the child would be classified as a 'natural child'.
Cross classification of Child type (CTPP) with Family composition (FMCF) allows analysis of different family types.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Child type (including grandchildren) (CTGP)
- Family composition (FMCF)
- Relationship in household (RLHP)
- Adopted child
- Child
- Foster child
- Step child
Useful links
Family blending (FBLF)
Definition
This variable classifies couple families with children living in private dwellings, based on the parent-child relationships within them.
Scope
Couple families with children
Categories
Code | Category |
---|---|
1 | Intact family with no other children present |
2 | Step family with no other children present |
3 | Blended family with no other children present |
4 | Intact family with other children present |
5 | Step family with other children present |
6 | Blended family with other children present |
7 | Other couple family with other children only |
@ | Not applicable |
Number of categories: 8
Not applicable (@) category comprises:
- One parent families
- Couple families with no children
- Other families
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Intact, step and blended families can also include other children who are not the natural children of either parent in the couple, such as:
- Foster children
- A grandchild being raised by their grandparents
A child who is either the natural child of one partner but not of the other, or who is reported as being the step child of both parents is classified as a step child.
Family type definitions
Intact
An intact family is a couple family containing at least one child who is the natural or adopted child of both partners in the couple. It does not include a child who is the step child of either partner in the couple.
Step
A step family is a couple family containing one or more children, at least one of whom is the step child of one of the partners in the couple, and none of whom is the natural or adopted child of both members of the couple.
Blended
A blended family is a couple family containing two or more children, of whom at least one is the natural or adopted child of both members of the couple, and at least one is the step child of either partner in the couple.
Other families
Other couple family refers to families containing one or more children where no child is the natural or adopted child of either partner in the couple; and no child is the step child of either parent in the couple. Examples include:
- couples with foster children of any age
- otherwise related or unrelated children aged under 15 years
- grandchildren being raised by their grandparents
Family blending category definitions
1. Intact family with no other children present
A couple family containing:
- at least one child who is the natural or adopted child of both partners in the couple
- no child who is the step child of either partner in the couple
- no other children (e.g. otherwise related or unrelated children, such as foster children or grandchildren being raised by their grandparents)
2. Step family with no other children present
A couple family containing:
- one or more children, with at least one a step child of one of the partners in the couple
- no children who are natural or adopted children of both members of the couple
- no other children (e.g. otherwise related or unrelated children, such as foster children or grandchildren being raised by their grandparents)
3. Blended family with no other children present
A couple family containing:
- two or more children, with at least one child a natural or adopted child of both members of the couple
- at least one child that is a step child of either partner in the couple
- no other children (e.g. otherwise related or unrelated children, such as foster children or grandchildren being raised by their grandparents)
4. Intact family with other children present
A couple family containing:
- two or more children, with at least one child a natural or adopted child of both partners in the couple
- no child is a step child of either partner in the couple
- at least one is an other child (e.g. an otherwise related or unrelated child, such as a foster child, or a grandchild being raised by their grandparents)
5. Step family with other children present
A couple family containing:
- two or more children, with at least one child the step child of one of the partners in the couple
- no child that is natural or adopted of both members of the couple
- at least one is an other child (e.g. an otherwise related or unrelated child, such as a foster child or a grandchild being raised by his or her grandparents)
6. Blended family with other children present
A couple family containing:
- three or more children, with at least one child a natural or adopted child of both members of the couple
- at least one step child of either partner in the couple
- at least one other child (e.g. an otherwise related or unrelated child, such as a foster child, or a grandchild being raised by their grandparents)
7. Other couple family with other children only
- a couple family containing one or more children, all of whom are neither the natural children of either partner in the couple, nor the step children of both partners in the couple.
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
More information
How this variable is created
This variable is derived from the Relationship in household and Persons temporarily absent questions on the Census form. Temporarily absent children are taken into consideration when classifying families.
Families are only derived for occupied private dwellings where a family composition can be determined from the relationship within the household.
History and changes
This variable was first introduced in 2006.
No changes have been made for 2021.
Data use considerations
Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the Persons temporarily absent section of the form. This can occur in both Family and Group households.
Due to form limitations, a maximum of three people can be reported and coded as Temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.
Reporting relationships in respect to ‘Person 1’ on the Census form can make it difficult to establish the relationships within a household, especially dwellings containing blended families. In some cases, further information is used during processing to help determine relationships. This includes:
- Surname or family name
- Usual residence
- Marital status
If a child is listed on the Census form as 'Person 2' and both parents are usual residents, the response 'Child of both Person 1 and Person 2' is not available in the relationship question for 'Person 2'. In these cases an attempt is made to establish whether the child was a step-child or child of both parents using information such as surname. Despite these attempts there may be a small proportion of children coded to 'step-child' who may be a child of both parents. There may also be cases where the child of reference person (and a step-child of the partner) is incorrectly coded as a child of both parents.
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Family composition (FMCF)
Definition
This variable classifies families into different family types. It uses a single family reference person and classifies each member around that person.
When classifying families into different types, information about temporarily absent family members is used.
This variable distinguishes between different types of families based on the presence or absence of couple relationships, parent-child relationships, child dependency relationships or other familial relationships, in that order of preference.
Scope
Families in family households
Categories
1 | Couple family with no children | |||
12 | Couple family with no children | |||
122 | Couple family with no children | |||
1222 | Couple family with no children | |||
2 | Couple family with children | |||
21 | Couple family with children under 15 | |||
211 | Couple family with children under 15 and dependent students | |||
2111 | Couple family with children under 15, dependent students and non-dependent children | |||
2112 | Couple family with children under 15, dependent students and no non-dependent children | |||
212 | Couple family with children under 15 and no dependent students | |||
2121 | Couple family with children under 15, no dependent students and with non-dependent children | |||
2122 | Couple family with children under 15, no dependent students and no non-dependent children | |||
22 | Couple family with no children under 15 | |||
221 | Couple family with no children under 15 and with dependent students | |||
2211 | Couple family with no children under 15, and with dependent students and non-dependent children | |||
2212 | Couple family with no children under 15, and with dependent students and no non-dependent children | |||
222 | Couple family with no children under 15 and no dependent students | |||
2221 | Couple family with no children under 15, no dependent students and with non-dependent children | |||
3 | One parent family | |||
31 | One parent family with children under 15 | |||
311 | One parent family with children under 15 and dependent students | |||
3111 | One parent family with children under 15, dependent students and non-dependent children | |||
3112 | One parent family with children under 15, dependent students and no non-dependent children | |||
312 | One parent family with children under 15 and no dependent students | |||
3121 | One parent family with children under 15, no dependent students and with non-dependent children | |||
3122 | One parent family with children under 15, no dependent students and no non-dependent children | |||
32 | One parent family with no children under 15 | |||
321 | One parent family with no children under 15 and with dependent students | |||
3211 | One parent family with no children under 15, with dependent students and non-dependent children | |||
3212 | One parent family with no children under 15, with dependent students and no non-dependent children | |||
322 | One parent family with no children under 15 and no dependent students | |||
3221 | One parent family with no children under 15, no dependent students and with non-dependent children | |||
9 | Other family | |||
92 | Other family | |||
922 | Other family | |||
9222 | Other family | |||
@@@@ | Not applicable |
Number of categories:
- One digit level: 4
- Two digit level: 6
- Three digit level: 10
- Four digit level: 17
Not applicable (@@@@) category comprises:
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
More information
More information
How this variable is created
This variable is derived from the Relationship and persons temporarily absent questions on the Census form. During data processing, families are identified and created based around a ‘family reference person’, usually person 1 recorded on the Census form.
This variable distinguishes between different types of families based on the presence or absence of couple relationships, parent-child relationships, child dependency relationships or other family relationships, in that order of preference. Families are classified in terms of the relationships that exist between a single family reference person and each other member of that family.
Reporting relationships in respect of 'Person 1' on the form, can make it difficult to establish all the relationships that exist in a household, or to identify whether more than one family is living in the dwelling. In some cases, additional information such as surname, usual residence and marital status are used during data processing to help determine these relationships.
History and changes
This variable was first introduced in the 2006 Census to replace Family type (FMTF).
No changes have been made for 2021.
Data use considerations
Across the community, a wide variety of living arrangements exist therefore family structures can be complex and dynamic in nature. The quality of family data in the Census is dependent on people’s ability to describe these relationships with the usual residence in the household.
This variable relates only to the basic composition of a family and is the principle family variable used in family tabulations. Demographic characteristics of the different family compositions can be established with cross tabulation with:
- Location of spouse (SPLF)
- Tenure type (TEND)
- Dwelling structure (STRD)
- Family number (FNOF)
- Total family income (weekly) (FINF)
Note: There is no provision for 'other related individuals' in second and third families.
If more than three families are found in a household, only three families are separately classified. Any other people are classified as either related family members or non-family members as appropriate and are attached to family one.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Family blending (FBLF)
- Relationship between families (FRLF)
- Family household composition (dwelling) (HCFMD)
- Family household composition (family) (HCFMF)
- Household composition (HHCD)
- Relationship in household (including grandchildren) (RLGP)
- Relationship in household (RLHP)
- Family/household reference person indicator (RPIP)
- Census counts
- Couple family
- Family
- Multiple family households
- Nominal child
- Other family
- Other related individual
- Parent
- Parent-child relationship
- Personal form
Grandparent families (FMGF)
Definition
This variable classifies families into different family types depending on the composition of the family. It differs from the standard Family composition (FMCF) variable because it recognises grandparent-grandchild relationships.
Grandparent families are recognised when there is a grandparent-grandchild relationship present and no parent-child relationship present in a family.
This variable can only be used with other related grandparent/grandchild variables. These variables are:
- Child type (including grandchildren) (CTGP)
- Relationship in household (including grandchildren) (RLGP)
It cannot be used with standard family variables.
Scope
Families with grandchildren
Categories
Code | Category |
---|---|
1 | Couple family with grandchildren |
11 | Couple family with grandchildren under 15 (with or without other children) |
12 | Couple family with no grandchildren under 15 and with dependent student grandchildren (with or without other children) |
13 | Couple family with no grandchildren under 15, no dependent student grandchildren and with non-dependent grandchildren (with or without other children) |
2 | Lone grandparent |
21 | Lone grandparent with grandchildren under 15 (with or without other children) |
22 | Lone grandparent with no grandchildren under 15 and with dependent student grandchildren (with or without other children) |
23 | Lone grandparent with no grandchildren under 15, no dependent student grandchildren and with non-dependent grandchildren (with or without other children) |
@@ | Not applicable |
Number of categories:
- One digit level: 2
- Two digit level: 7
Not applicable (@@) category comprises:
- Families with no grandchildren
- Non-family/non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
What is the person’s date of birth and age?
More information
Is Person 1 attending a school or any other education institution?
More information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
More information
More information
More information
How this variable is created
This variable is created using responses to the relationship in household, age, attendance at an education institution and persons temporarily absent (PTA) questions on the Census form.
It only counts families where there is a grandparent-grandchild relationship present and no parent-child relationship present in a family. All other families are coded to not applicable.
When classifying families into different grandparent family types the following information is used:
- Relationship in household (including grandchildren) (RLGP) variable for family members present in the household on Census Night
- PTA questions for family members who were temporarily absent from the household on Census Night
The table below shows how grandparent-grandchild relationships are coded differently between the Grandparent families (FMGF) and the standard Family composition (FMCF) variable.
Scenario |
How it would be coded in FMGF |
How it would be coded in FMCF |
Grandparents who are a couple with a grandchild under 15 years old |
11 Couple family with grandchildren under 15 (with or without other children) |
2 Couple family with children |
Grandparents who are a couple with a grandchild who is a dependent student (aged 15-24 years) |
12 Couple family with no grandchildren under 15 and with dependent student grandchildren (with or without other children) |
1 Couple family with no children |
Grandparents who are a couple with a non-dependent grandchild |
13 Couple family with no grandchildren under 15, no dependent student and with non-dependent grandchildren (with or without other children) |
2 Couple family with no children |
Lone grandparent with a grandchild under 15 years old |
21 Lone grandparent with grandchildren under 15 (with or without other children) |
3 One parent family |
Lone grandparent with a grandchild who is a dependent student (aged 15-24 years) |
22 Lone grandparent with no grandchildren under 15 and with dependent student grandchildren (with or without other children) |
3 One parent family |
Lone grandparents with a non-dependent grandchild |
23 Lone grandparent with no grandchildren under 15, no dependent student grandchildren and with non-dependent grandchildren (with or without other children) |
9 Other family |
History and changes
This variable was first introduced in 2011 to enable grandparent families to be identified more easily within the data.
No changes have been made for 2021.
Data use considerations
During Census family coding, all children under 15 years of age are allocated a nominal parent if their parent/s are not present in the household on Census Night, or if the parent/s were not reported as temporarily absent. Nominal parents can be the child's sibling, grandparent, aunt/uncle or other related individuals.
Grandparent families are recognised where a grandparent/s is allocated as the nominal parent or where there is only a grandparent-grandchild relationship present in the family (and no parent-child relationship). When a parent is temporarily absent from the family and their relationship to the child cannot be determined, the relationship cannot be coded. This can result in a small number of children being reported incorrectly as grandchildren when a parent is simply absent on Census Night.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Family number (FNOF)
Definition
This variable categorises multiple families in a household as either the primary, second or third family. Families in a one family household are always classified as the primary family.
Scope
Families in family households
Categories
Code | Category |
---|---|
1 | Primary family |
2 | Second family |
3 | Third family |
@ | Not applicable |
Number of categories: 4
Not applicable (@) category comprises:
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
How this variable is created
This variable is derived from the Relationship in household question on the Census form.
In a multiple family household, a maximum of three families can be identified. In cases where more than three families are identified in a household, the first three families are coded. The other persons are classified as either related family members of the primary family or non-family members.
Where there is more than one family in a household on Census Night, the family with dependent children is designated as the primary family. If there was more than one family, and no children were present in the household, then the first family identified on the Census form becomes the primary family.
History and changes
This variable was first introduced in 1971, to replace the previously used Family group (FMGF) variable. The mnemonic used has changed several times.
No changes have been made for 2021.
Data use considerations
The maximum of three families in a household may have only a small effect on the total number of families overall. However, the impact may be more significant among population groups who are more likely to live in multi-generational households or with large numbers of extended family members.
The term 'Primary family' is an ABS term that is used to aid coding of household relationships. This should not be misinterpreted as signifying that this is the main family in the household or the family that owns the house or for any other reason, other than for ABS relationship coding purposes.
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form.
Useful links
Parent indicator (FPIP)
Definition
This variable records the usually resident parent in a family household. It identifies parents of children in family households, provided the parent and child were counted in the same family, or were reported as temporarily absent on Census Night.
Scope
Parents present in the household on Census Night
Categories
Code | Category |
---|---|
1 | Male parent |
2 | Female parent |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 4
Not applicable (@) category comprises:
- Other families
- Non-family/non-classifiable households
- Group household member
- Lone person
- Other non-classifiable relationship
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
- Visitor (from within Australia)
- Overseas visitor
See Understanding supplementary codes for more information.
Question(s) from the Census form
Is the person: Male, Female, Non-binary sex
What is the person’s relationship to Person 1/Person 2?
More information
How this variable is created
This variable is derived from the sex and relationship in household questions on the Census form.
This variable identifies parents of children in family households, provided the parent and child were counted in the same family on Census Night, or reported as 'Person temporarily absent' (PTA) on Census Night.
Parents are counted if there are:
- dependent children aged under 15 years
- dependent students aged 15–24 years
- non-dependent children present in the family.
Children under 15 years of age are allocated a 'nominal parent' if their parent/s are not present in the household on Census Night, or if the parent/s were not reported as temporarily absent. 'Nominal parents' can be the child's sibling, grandparent, aunt/uncle or other related individuals. Only dependent grandchildren-grandparent relationships are counted. Non-dependent grandchildren are excluded.
History and changes
This variable is new for 2021.
Data use considerations
Parents of children or students reported in Census data releases will include same-sex parents and opposite sex parents.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Relationship between families (FRLF)
Definition
This variable describes the relationship between families within a household. The variable Family number (FNOF) is required to identify the primary, second or third family counted within the household.
The relationship described is between the primary family and the second or third family. For example, in a household there is a primary couple family with children and a second couple family. The second family consists of the parents of the reference person in the primary family. This second family would be identified as ‘Mother’s/father’s family'.
Scope
Two or three family households
Categories
Code | Category |
---|---|
1 | Mother's/father's family |
2 | Grandparent's family |
3 | Son's/daughter's family |
4 | Grandchild's family |
5 | Brother's/sister's family |
6 | Other related family |
7 | Unrelated family |
@ | Not applicable |
Number of categories: 8
Not applicable (@) category comprises:
- Primary families in multi-family households
- One family households
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
How this variable is created
This variable is derived from the Relationship in household question on the Census form. This question is used to determine the relationships people have with others in a multi-family household. Persons temporarily absent are also taken into consideration.
History and changes
This variable was first introduced in 1991.
No changes have been made for 2021.
Data use considerations
Relationship between families categories of 'Mother's/father's family' (FRLF category 1) and 'Son's/daughter's family' (FRLF category 3) are complementary. To find the number of families living with a family that contains a parent or child of one of the family members, users should consider both categories combined.
Users are faced with a similar situation when looking at 'Grandparent's families' and 'Grandchild families' (FRLF categories 2 and 4). Any one of these categories used in isolation will not give a full count of family pairs bound by a specified relationship.
During data processing the relationships identified are used to derive the relationship of each family to the household’s ‘primary family’. A 'primary family' is an ABS term that is used to aid coding of household relationships, and should not be misinterpreted as signifying the family that owns the house, or the 'main' family for any reason other than ABS family and household coding purposes.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Family composition (FMCF)
- Relationship in household (RLHP)
- Family
- Household
- Multiple family households
Useful links
Family household composition (dwelling) (HCFMD)
Definition
This variable counts the types of families within family households at the dwelling level. In multiple family households, only the family composition of the primary family is recorded.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
1 | One family household |
11 | One family household: Couple family with no children |
12 | One family household: Couple family with children |
13 | One family household: One parent family |
14 | One family household: Other family |
2 | Multiple family household |
21 | Two family household: Couple family with no children |
22 | Two family household: Couple family with children |
23 | Two family household: One parent family |
24 | Two family household: Other family |
25 | Three or more family household: Couple family with no children |
26 | Three or more family household: Couple family with children |
27 | Three or more family household: One parent family |
28 | Three or more family household: Other family |
3 | Other household |
31 | Lone person household |
32 | Group household |
33 | Visitors only household |
34 | Other non-classifiable household |
@@ | Not applicable |
Number of categories:
- One digit level: 3
- Two digit level: 17
Not applicable (@@) category comprises:
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
More information
How this variable is created
This variable uses information collected from the Relationship in household and the Persons temporarily absent questions on the Census form.
Family and Household structures are identified during Census data processing and are created around a family or household reference person. This variable is derived from the Family composition (FMCF) and Household composition (HHCD) variables.
History and changes
This variable was first introduced in 2011.
No changes have been made for 2021.
Data use considerations
Across the community, a wide variety of living arrangements exist with complex family structures. The quality of family data in the Census is partly dependent on people’s ability to describe these relationships within the constraints of the generalised questionnaire format required by a Census. Reporting relationships in respect of 'Person 1' only, can make it difficult to establish all the relationships which exist in a household, or to identify whether more than one family is living in the dwelling.
A maximum of three families can be coded to a household. Lone person households can contain visitors. Visitor only households can contain overseas visitors.
The 'Other not classifiable' category consists mainly of occupied dwellings where a form was not received. It also includes households:
- Which the ABS Field Officer determined were occupied on Census Night but where the ABS Field Officer could not make contact
- That contained only persons aged under 15 years
- Which could not be classified elsewhere in this classification because there was insufficient information on the Census form.
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Family household composition (family) (HCFMF)
Definition
This variable counts the types of families within family households at the family level. In multiple family households all family types are counted.
Scope
Families in family households
Categories
Code | Category |
---|---|
1 | One family household |
11 | One family household: Couple family with no children |
12 | One family household: Couple family with children |
13 | One family household: One parent family |
14 | One family household: Other family |
2 | Two family household |
21 | Two family household: Couple family with no children |
22 | Two family household: Couple family with children |
23 | Two family household: One parent family |
24 | Two family household: Other family |
3 | Three or more family household |
31 | Three or more family household: Couple family with no children |
32 | Three or more family household: Couple family with children |
33 | Three or more family household: One parent family |
34 | Three or more family household: Other family |
@@ | Not applicable |
Number of categories:
- One digit level: 3
- Two digit level: 13
Not applicable (@@) category comprises:
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
More information
How this variable is created
This variable uses information collected from the Relationship in household and the Persons temporarily absent questions on the Census form.
Family and household structures are identified during Census data processing and are created around a family or household reference person. This variable is derived from the Family composition (FMCF) and Household composition (HHCD) variables.
History and changes
This variable was first introduced in 2011.
No changes have been made for 2021.
Data use considerations
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Household composition (HHCD)
Definition
This variable describes the type of household within a dwelling. It indicates if a family is present on Census Night and if other unrelated household members are present.
Scope
Occupied private dwellings
Categories
1 | One family household | ||
11 | One family household with only family members present | ||
110 | One family household with only family members present | ||
12 | One family household with non-family members present | ||
120 | One family household with non-family members present | ||
2 | Multiple family household | ||
21 | Two family household | ||
211 | Two family household with only family members present | ||
212 | Two family household with non-family members present | ||
22 | Three or more family household | ||
221 | Three or more family household with only family members present | ||
222 | Three or more family household with non-family members present | ||
3 | Non-family household | ||
31 | Lone person household | ||
310 | Lone person household | ||
32 | Group household | ||
320 | Group household | ||
4 | Non-classifiable | ||
41 | Visitors only | ||
410 | Visitors only | ||
42 | Other non-classifiable | ||
420 | Other non-classifiable | ||
Not applicable | |||
@@@ | Not applicable |
Number of categories:
- One digit level: 4
- Two digit level: 8
- Three digit level: 11
Not applicable (@@@) category comprises:
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
More information
How this variable is created
This variable is derived from the Relationship in household and Persons temporarily absent questions on the Census form.
Family and Household structures are identified during Census data processing and are created around a family or household reference person. Persons identified as temporarily absent on Census Night are taken into consideration when deriving Household composition. This allows for identification of some family types and helps distinguish between lone person and group households.
History and changes
This variable was first used in the 2006 Census. Between 1986 and 2001 some information had been collected through the variable Household type. Other information on families was also collected prior to 1986, though the older variables did not contain as much detail as what has been collected in recent years.
No changes have been made for 2021.
Data use considerations
Across the community, a wide variety of living arrangements exist with complex family structures. The quality of family data in the Census is partly dependent on people’s ability to describe these relationships within the constraints of the generalised questionnaire format required by a Census. Reporting relationships in respect of 'Person 1' only, can make it difficult to establish all the relationships which exist in a household, or to identify whether more than one family is living in the dwelling.
A maximum of three families can be coded to a household. Lone person households can contain visitors. Visitor only households can contain overseas visitors.
The 'Other not classifiable' category consists mainly of occupied dwellings where a form was not received (3.8% of all occupied private dwellings). It also includes households:
- which the ABS Field Officer determined were occupied on Census Night but where the ABS Field Officer could not make contact
- that contained only persons aged under 15 years
- which could not be classified elsewhere in this classification because there was insufficient information on the Census form.
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Family composition (FMCF)
- Family household composition (dwelling) (HCFMD)
- Family household composition (family) (HCFMF)
- Relationship in household (RLHP)
- Average persons per household
- Census counts
- Group household
- Household
- Personal form
Useful links
Imputation flag for registered marital status (IFMSTP)
Definition
This variable indicates if a person's Registered marital status (MSTP) was imputed.
Scope
Applicable to:
- all responding people aged 15 years and over
- all imputed people in private dwellings
- imputed people aged 15 years and over in non-private dwellings and migratory, off-shore, and shipping areas
Categories
Code | Category |
---|---|
1 | Marital status not imputed |
2 | Marital status imputed |
@ | Not applicable |
Number of categories: 3
Not applicable (@) category comprises:
- Responding persons aged under 15 years
- Imputed persons aged under 15 years in non-private dwellings and migratory, off-shore, and shipping areas
Question(s) from the Census form
What is the person’s current marital status?
More information
How this variable is created
Registered marital status imputation is carried out by finding a similar person in a similar responding dwelling based on the variables:
- Sex (SEXP)
- Relationship in household (RLHP)
- Age (AGEP)
- Dwelling type (DWTD) and
- Type of non-private dwelling (NPDD)
Registered marital status is only imputed for people aged 15 years and over and set to 'Not applicable' for people aged under 15 years.
For further information on imputation see, Registered Marital status (MSTP) and Imputation in the Census Glossary.
History and changes
No changes have been made for 2021.
Data use considerations
The primary imputation method used for the 2021 Census is known as hotdecking. Other imputation processes use probability methods. In general the hotdecking method involves locating a donor record and copying the relevant responses to the record requiring imputation. The donor record will have similar characteristics and must also have the required variable(s) stated. In addition the donor record will be located geographically as close as possible to the location of the record to be imputed. The match must occur within the same Capital City or Balance of State.
Using the Imputation Flag for Registered Marital Status (IFMSTP), the non-response rate for Registered marital status was 5.5% in 2021. This is a decrease from 6.9% in 2016. For more information on imputation, see 2021 Census Methodology.
Related variables and glossary terms
- Age (AGEP)
- Dwelling type (DWTD)
- Type of non-private dwelling (NPDD)
- Sex (SEXP)
- Registered marital status (MSTP)
- Relationship in household (RLHP)
- Derivation
- Hotdecking
- Imputation
Useful links
Imputation flag for number of males and females in dwelling (IFNMFD)
Definition
This variable indicates whether the number of males and females were counted for an occupied private dwelling or were imputed. This flag indicates dwellings where no form was received and therefore people needed to be imputed into the dwelling.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
1 | Persons not imputed into dwelling |
2 | Persons imputed into dwelling |
@ | Not applicable |
Number of categories: 3
Not applicable (@) category comprises:
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
This variable is not collected from a direct question on the Census form.
How this variable is created
Most occupied private dwellings return a completed form, so the number of persons is known. This variable identifies those private dwellings where the number of people are imputed.
History and changes
This variable was first used in the 2006 Census. The categories for this item were changed in 2016 due to the changes in dwelling enumeration.
Prior to the 2016 Census, Census Field Officers would collect information on number of males and females in residence during their visits to the dwelling. This information would be recorded in their collector record books and could be used instead of imputation if there was no response from the dwelling. This information was not collected during the 2016 Census and if a dwelling did not respond the only option was to impute the number of males and females based on similar dwellings. This flag is set during Census processing.
No changes have been made for 2021.
Data use considerations
For imputed persons, the following person variables are also imputed:
All other person variables are set to ‘Not stated’ or ‘Not applicable’ for imputed persons.
Non-response rate only applies to data items that directly reflect responses to individual Census form questions. This imputation flag does not have a non-response rate as it is used to indicate whether the number of males and females were imputed during Census processing for applicable households. For more information on imputation, see Census Methodology.
Related variables and glossary terms
- Sex (SEXP)
- Place of usual residence (PURP)
- Derivation
- Imputation
Social marital status (MDCP)
Definition
This variable records a person's relationship status based on their current living arrangements. It identifies whether they form a couple relationship with another person living in the same usual residence, and the nature of that relationship.
Scope
Persons aged 15 years and over usually resident and present in the household on Census Night
Categories
Code | Category |
---|---|
1 | Married in a registered marriage |
2 | Married in a de facto marriage |
3 | Not married |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 5
Not applicable (@) category comprises:
- Persons aged under 15 years
- Persons who are visitors (from within Australia)
- Persons in non-classifiable households
- Persons in non-private dwellings
- Persons in migratory, off-shore and shipping SA1s
See Understanding supplementary codes for more information.
Category definitions
- 'Married in a registered marriage' means two people live together as husband, wife or partner and their marriage is formalised through registration.
- 'Married in a de facto marriage' means two people live together as partners who are not in a registered marriage. It includes people who report de facto, partner, common law husband/wife/spouse, lover, girlfriend or boyfriend.
- ‘Not married’ means neither a registered nor a de facto marriage. This includes people who live alone, with other family members, and those in shared accommodation.
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
What is the person’s current marital status?
How this variable is created
Data on the relationships people have with others in the same dwelling, including de facto partnerships or social marriages, is from the relationship in household question on the Census form. This variable is derived from the Relationship in household (RLHP) and Registered marital status (MSTP) variables.
Relationships are based off a ‘reference person’. This is usually Person 1 on the Census form. Where this isn’t Person 1, a more appropriate person on the form is chosen during coding. For example, an adult is chosen rather than a child, or in the event of multiple family households, additional reference people are chosen.
To further identify some partnerships, additional information is used during data processing. This includes considering people who were recorded as temporarily absent on Census Night, registered marital status, name, and usual residence. Unless a social marriage is identified for a person, they are regarded as 'not married'.
History and changes
A question on Marital status has been asked in every Census since 1911. A separate variable recording de-facto or social marital status was first created in 1986 and has been used in every Census since then.
In 2011, this variable provided data about how a person is married in a 'social way' (i.e. their current living status), regardless of response to the Registered marital status.
In 2016, the processing of Social marital status was changed to align with ABS Family Standards. A social marital status of 'Married in a registered marriage' is defined as a person who lives with another person in a couple relationship and to whom they are also legally married to in a registered marriage.
In December 2017, amendments to the Marriage Act 1961 came into effect enabling marriage equality for all couples. The amendments removed references to sex or gender and redefined marriage as 'the union of two people to the exclusion of all others'. Registered marriages reported in Census data releases will include same-sex couples and opposite sex couples.
In 2021, no changes have been made to the question on the form. However, changes were made to the way responses were processed as all couples can now be in registered marriages.
Data use considerations
Marriage law changes
Registered marriages now include all couples. Amendments to the Marriage Act 1961 came into effect on 9 December 2017 enabling all couples to legally marry. The amendments removed references to sex or gender and redefined marriage as 'the union of two people to the exclusion of all others'.
No changes have been made to the output categories, however more people will be applicable to category 1 – Married in a registered marriage than in previous censuses. Conversely, less people will be applicable to category 2 - Married in a de facto marriage, and 3 - Not married.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Imputation flag for registered marital status (IFMSTP)
- Registered marital status (MSTP)
- Relationship in household (RLHP)
- Sex (SEXP)
- Marital status
Useful links
Registered marital status (MSTP)
Definition
This variable records a person’s formal registered marital status. If registered marital status is not stated, it is imputed.
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Never married |
2 | Widowed |
3 | Divorced |
4 | Separated |
5 | Married |
@ | Not applicable |
Number of categories: 6
Not applicable (@) category comprises:
- Persons aged under 15 years
Question(s) from the Census form
What is the person’s current marital status?
More information
How this variable is created
This variable captures the response from the marital status question on the Census form.
If a person provides more than one response, the first response that appears on the form will be used.
Where a respondent does not answer the Marital status question, marital status is imputed using other information on the form and using a marital status distribution of the population. For more information about imputation, please see imputation in the Census Glossary.
The Imputation flag for registered marital status (IFMSTP) variable indicates if a person's marital status was imputed in the Census.
History and changes
A question on Marital status has been asked in every Census since 1911.
In December 2017, amendments to the Marriage Act 1961 came into effect enabling marriage equality for all couples. The amendments removed references to sex or gender and redefined marriage as 'the union of two people to the exclusion of all others'. Registered marriages reported in Census data releases will include same-sex couples and opposite sex couples.
In 2021, no changes have been made to the question on the form. However, changes were made to the way responses were processed as all couples can now be in registered marriages.
Data use considerations
The Registered marital status variable provides data about a person's current registered marital status, regardless of their reported relationship to another person in their household. During the time of the Census the following instructions were available on the Census website to help people answer the registered marital status question.
- If the person is a child and therefore not married, select ‘Never married’.
- If the person is divorced or widowed and has remarried, select ‘Married’.
- If the person is divorced and has not remarried, select ‘Divorced’, even if the person lives in a de facto relationship.
- If the person is in a de facto relationship and has not been in a registered marriage, select ‘Never married’.
- If the person is in a traditional Aboriginal or Torres Strait Islander marriage, select ‘Married’.
Information on de facto relationships is derived from responses to the Relationship in household question and output in the Social marital status (MDCP) variable.
Due to the amendments to the Marriage Act 1961 in 2017, all couples are able to identify as being in registered marriages. While the categories for the variable have not changed, more people are in scope of category 5 - Married.
Using the Imputation Flag for Registered Marital Status (IFMSTP), the non-response rate for Registered marital status (MSTP) was 5.5% in 2021. This is a decrease from 6.9% in 2016. For more information on imputation, see 2021 Census methodology.
Related variables and glossary terms
- Imputation flag for registered marital status (IFMSTP)
- Social marital status (MDCP)
- Relationship in household (RLHP)
- Sex (SEXP)
- Derivation
- Imputation
- Marital status
- Visitors to Australia
Useful links
Number of persons usually resident in dwelling (NPRD)
Definition
This variable counts the number of people who usually reside in an occupied private dwelling. It includes up to three residents who were temporarily absent from the household on Census Night.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
1 | One person |
2 | Two persons |
3 | Three persons |
4 | Four persons |
5 | Five persons |
6 | Six persons |
7 | Seven persons |
8 | Eight or more persons |
@ | Not applicable |
Number of categories: 9
Not applicable (@) category comprises:
- Visitor only households
- Other non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
Were there any people away on the night of Tuesday 10 August who usually live in this dwelling?
More Information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
How this variable is created
History and changes
This variable was first used during the 2011 Census.
No changes have been made for 2021.
Data use considerations
Due to form limitations a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Count of persons temporarily absent from household (CPAD)
- Place of usual residence (PURP)
- Household composition (HHCD)
- Average persons per household
- Dwelling
Relationship as reported for couples (RLCP)
Definition
This variable records the partner relationship as it is reported for all couples in an occupied dwelling. It shows the number of people who reported their relationship as being 'husband, wife or partner' or 'de facto partner'.
Scope
Persons in Couple families
Categories
Code | Category |
---|---|
1 | Husband, wife or partner as reported, opposite-sex couple |
2 | De facto partner as reported, opposite-sex couple |
3 | Husband, wife or partner as reported, same-sex couple |
4 | De facto partner as reported, same-sex couple |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 6
Not applicable (@) category comprises:
- Lone Parent and Other Families
- Persons in Non-family/Non-classifiable households
- Persons in Non-private dwellings
- Persons in migratory, off-shore or shipping SA1s
See Understanding supplementary codes for more information.
Question(s) from the Census form
Is the person: Male, Female, Non-binary sex
What is the person’s relationship to Person 1/Person 2?
More information
How this variable is created
Data on the relationships people have with others in the same dwelling, including husband/wife or de facto partner, is derived from the Relationship in household and Sex questions on the Census form.
History and changes
This variable was introduced in 2011.
In December 2017, amendments to the Marriage Act 1961 came into effect enabling equality for all couples. The amendments removed references to sex or gender and redefined marriage as 'the union of two people to the exclusion of all others'. Registered marriages reported in Census data releases will include same-sex couples and opposite sex couples only.
In 2021, no changes have been made to the question. However, due to the amendments in 2017, more couples will be able to identify as being in registered marriages.
Data use considerations
Due to the amendments in 2017 to the Marriage Act 1961, more couples may identify in category 3 ‘Husband, wife or partner as reported, same-sex couple’ resulting in higher figures to previous censuses. Conversely, category 4 will decrease.
For this derivation, the binary sex variable (SEXP) is used. Where a respondent has answered the sex question with ‘non-binary sex’ and provided a male or female response, the male or female response will be used to determine the binary sex variable. Otherwise, SEXP will be derived by statistical process using random allocation.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Relationship in household (including grandchildren) (RLGP)
Definition
This variable describes the relationship of each person in a family to the family reference person. Where a person is not part of a family their relationship to the reference person is described.
This variable is different from the Relationship in household (RLHP) variable, as it:
- has an extra grandchild type, being ‘Dependent student grandchild’
- classifies lone grandparents (with no parent-child relationship present in the household) as ‘Lone parent’
This variable can only be used with other related grandparent/grandchild variables. These variables are:
It cannot be used with standard family variables.
Scope
Persons present in an occupied private dwelling on Census Night
Categories
Code | Category |
---|---|
Husband, Wife or Partner | |
10 | Husband, wife or partner, opposite-sex couple |
15 | Husband, wife or partner, same-sex couple |
Lone parent | |
21 | Lone parent |
Child under 15 | |
31 | Natural or adopted child under 15 |
32 | Step child under 15 |
33 | Foster child under 15 |
34 | Grandchild under 15 |
35 | Otherwise related child under 15 |
36 | Unrelated child under 15 |
Dependent student | |
41 | Natural or adopted dependent student |
42 | Dependent student step child |
43 | Dependent student foster child |
44 | Dependent student grandchild |
Non-dependent child | |
51 | Non-dependent natural, or adopted child |
52 | Non-dependent step child |
53 | Non-dependent foster child |
54 | Non-dependent grandchild |
Other related individual | |
61 | Brother/sister |
62 | Father/mother |
64 | Grandfather/grandmother |
65 | Cousin |
66 | Uncle/aunt |
67 | Nephew/niece |
69 | Other related individual (nec) |
Non-family member | |
71 | Unrelated individual living in family household |
72 | Group household member |
73 | Lone person |
Non-classifiable | |
91 | Visitor from within Australia |
99 | Other non-classifiable relationship |
Not applicable | |
@@ | Not applicable |
VV | Overseas visitor |
Number of categories: 31
Not applicable (@) category comprises:
- Persons in non-private dwellings
- Persons in migratory, off-shore or shipping SA1s
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the person's relationship to Person 1/Person 2?
More information
What is the person's date of birth and age?
More information
Is the person: Male; Female; Non-binary sex
Is the person attending a school or any other education institution?
More information
How this variable is created
This variable is created using responses to the relationship in household, sex, age and attendance at an educational institution on the Census form.
Sex (SEXP) is used to determine whether the person is in a same-sex or opposite-sex couple.
Age (AGEP) and Student status (STUP) information is used to determine what type of child the person is:
- child under 15 (including grandchild under 15)
- dependent student (including dependent student grandchild)
- non-dependent child (including non-dependent grandchild)
This variable is similar to Relationship in household (RLHP), but there are three key differences in how Relationship in household (including grandchildren) (RLGP) is processed. The table below outlines these scenarios and how each variable classifies the person.
Scenario | How it would be coded in RLGP | How it would be coded in RLHP |
---|---|---|
Person is a dependent student (15-24 years) and has a relationship of grandchild to Person 1/Person 2 | 44 Dependent student grandchild | 63 Non-dependent grandchild |
Person is aged over 24 years and has a relationship of grandchild to Person 1/Person 2 | 54 Non-dependent grandchild | 63 Non-dependent grandchild |
Person is a lone grandparent (no parent-child relationship present in the household) | 21 Lone parent | 64 Grandfather/grandmother |
Persons temporarily absent on Census Night are also taken into consideration when deriving this variable. This helps with the identification of some families and for distinguishing between lone person and group households.
During data processing, families are identified and created based around a ‘family reference person’. For cases where a child or non-family member was listed as Person 1, a more appropriate person is selected to be the reference person.
History and changes
This variable was first included in 2011.
No changes have been made for 2021.
Data use considerations
Family coding processes
During Census family coding, all children under 15 years of age are allocated a nominal parent if their parent/s are not present in the household on Census Night, or if the parent/s were not reported as temporarily absent. Nominal parents can be the child's sibling, grandparent, aunt/uncle or other related individuals.
Grandparent families are recognised where a grandparent/s is allocated as the nominal parent or where there is only a grandparent-grandchild relationship present in the family and no parent child relationship. When a parent is temporarily absent from the family and their relationship to the child cannot be determined, the relationship cannot be coded. This can result in a small number of children being reported incorrectly as grandchildren when a parent is simply absent on Census Night.
RLGP may not represent caring responsibilities
Users should note that grandparent-grandchild relationships are constructed for the purposes of family coding in order to create a statistical family. It may not be representative of who provides care.
For example, a scenario could be that a 20 year old grandchild lives with her grandmother. She is a full-time student and is dependent on her grandmother. Alternatively, she may have moved in with her grandmother specifically to take care of her. It is important that users do not make assumptions about grandparent families.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Relationship in household (RLHP)
Definition
This variable describes the relationship of each person in a family to the family reference person. Where a person is not part of a family, that person's relationship to the household reference person is captured. This is a key variable which enables Census data for people in private dwellings to be output on a family and household basis as well as on a person basis.
Scope
Persons present in the household on Census Night
Categories
Code | Category | ||
---|---|---|---|
Husband, Wife or Partner | |||
12 | In a registered marriage, opposite-sex couple | ||
13 | In a registered marriage, male same-sex couple | ||
14 | In a registered marriage, female same-sex couple | ||
15 | In de facto marriage, opposite-sex couple | ||
17 | In de facto marriage, male same-sex couple | ||
18 | In de facto marriage, female same-sex couple | ||
Lone parent | |||
21 | Lone parent | ||
Child under 15 | |||
31 | Natural or adopted child under 15 | ||
32 | Step child under 15 | ||
33 | Foster child under 15 | ||
34 | Grandchild under 15 | ||
35 | Otherwise related child under 15 | ||
36 | Unrelated child under 15 | ||
Dependent student | |||
41 | Natural or adopted dependent student | ||
42 | Student step child | ||
43 | Student foster child | ||
Non-dependent child | |||
51 | Non-dependent natural, or adopted child | ||
52 | Non-dependent step child | ||
53 | Non-dependent foster child | ||
Other related individual | |||
61 | Brother/sister | ||
62 | Father/mother | ||
63 | Non-dependent grandchild | ||
64 | Grandfather/grandmother | ||
65 | Cousin | ||
66 | Uncle/aunt | ||
67 | Nephew/niece | ||
69 | Other related individual (nec) | ||
Non-family member | |||
71 | Unrelated individual living in family household | ||
72 | Group household member | ||
73 | Lone person | ||
Non-classifiable | |||
91 | Visitor (from within Australia) | ||
99 | Other non-classifiable relationship | ||
Supplementary Codes | |||
@@ | Not applicable | ||
VV | Overseas visitor |
Number of categories: 34
Not applicable (@) category comprises:
- Persons in non-private dwellings
- Persons in migratory, off-shore or shipping SA1s
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
What is the person's date of birth and age?
More information
Is the person: Male; Female; Non-binary sex
Is the person attending a school or other education institution?
More information
How this variable is created
This variable is derived from the relationship in household, sex, age and full-time/part-time student questions on the Census form. Persons temporarily absent on Census Night are also taken into consideration when deriving this variable. This helps with the identification of some families and for distinguishing between lone person and group households.
During data processing, families are identified and created based around a ‘family reference person’. For cases where a child or non-family member was listed as Person 1, a more appropriate person is selected to be the reference person.
Sex (SEXP) is used to determine whether the person is in a same-sex or opposite-sex registered marriage or de facto marriage.
Age (AGEP) and Student status (STUP) information is used to determine what type of child the person is:
- child under 15
- dependent student
- non-dependent child
Children classifications
Dependent children are classified if they:
- form a parent child relationship and are 0-14 years of age
- are 15-24 years of age and a full-time student (in secondary or tertiary education)
Non-dependent children are classified if they are:
- children who are 15-24 years of age who are not full-time students
- children aged 25 years and over
Other children are classified according to their relationships if:
- children are full-time students aged 15-24 years of age with a child or partner of their own
- they are aged 25 years and over with a child or partner of their own
History and changes
This variable was first reported in 1911 and every Census since. In the 1986 Census, relationship to Person 1 and/or Person 2 has been asked in respect of each child. This is necessary to classify step children.
The category, 'Other non-classifiable relationship' was added to this variable in 2011. People in occupied private dwellings who were coded to not applicable in previous censuses have been coded to ‘Other non-classifiable relationship’ from 2011.
Registered marriages include same-sex couples and opposite-sex couples. Amendments to the Marriage Act 1961 came into effect on 9 December 2017 enabling marriage equality for all couples.
In 2021, the category '11 Registered marriage' has been replaced with three categories:
- 12 In a registered marriage, opposite-sex couple
- 13 In a registered marriage, male same-sex couple
- 14 In a registered marriage, female same-sex couple
Data use considerations
Priority is given to identifying those relationships which form a ‘family group’, i.e. partnerships and parent/child relationships. For many households, identifying relationships to assist the coding of family or household structure for that dwelling is quite straightforward.
For dwellings containing blended families or multiple generations of families, the nature of the family structure can be complex. The quality of family data in the Census is partly dependent on people’s ability to describe relationships within the constraints of the questionnaire format required by a Census.
The reporting of relationships to Person 1 can sometimes mean that closer relationships between other people in the household are lost. For example, reporting ‘niece’ (of Person 1) instead of ‘daughter’ of Person 2. In other cases, respondents have reported a relationship that is the reverse of what the question is intended to capture, for example, reporting 'grandparent' instead of 'grandchild'. While in many cases these errors are recognised and rectified, some are automatically accepted and cannot be reviewed.
More complex or unusual relationships are not automatically accepted by the processing system and are presented for manual coding. In some cases, additional information is used to determine relationships, such as:
- name
- usual residence
- marital status
- number of children given birth
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Child type (CTPP)
- Family blending (FBLF)
- Family composition (FMCF)
- Household composition (HHCD)
- Social marital status (MDCP)
- Couple family
- Family
- Foster child
- Group household
- Lone parent
- Marital status
- Non-family member
- One-parent family
- Other related individual
- Parent
- Same-sex couple
- Step child
- Unrelated individual living in a family household
Useful links
Family/household reference person indicator (RPIP)
Definition
This variable identifies a household member as the reference person used in Census coding. The reference person is used to identify the relationships between usual residents of a household. Relationships are defined between the family reference person and all other family members. It has limited statistical value but is included for use in population and dwelling projection models.
Scope
Persons in family, group and lone person households
Categories
Code | Category |
---|---|
Reference person in a family household | |
1 | Reference person in primary family |
2 | Reference person in second family |
3 | Reference person in third family |
Reference person in non-family household | |
4 | Reference person in non-family household |
Other | |
5 | Other household member |
Supplementary codes | |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 7
Not applicable (@) category comprises:
- Persons in visitor only households
- Persons in other non-classifiable households
- Persons in non-private dwellings
- Persons in migratory, off-shore and shipping SA1s
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
How this variable is created
This variable is derived from the Relationship in household question on the Census form.
Relationships are based off a ‘reference person’. This is usually Person 1 on the Census form. Where this isn’t Person 1, a more appropriate person on the form is chosen during coding. This is based on age, marital status, and relationship considerations. A reference person must be a usual resident of the dwelling aged 15 years and over, and present on Census Night. For example, an adult is chosen rather than a child, or in the event of multiple family households, additional reference people are chosen.
In multiple family households, there is a reference person for each family. The reference person for the primary family is usually defined as the household reference person. The identification of a family reference person allows each family within a dwelling to be treated as a separate entity for tabulation purposes.
For group households, the first person on the form who meets the criteria will become the reference person. For visitor only households and households with no person present aged 15 years and over, the household is considered 'non-classifiable' and no reference person is assigned.
History and changes
This variable was first reported in 1911 and every Census year since.
No changes have been made in 2021.
Data use considerations
This variable is not an indication that a person is 'head of the household'.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Sex of lone parent (SLPP)
Definition
This variable indicates the sex, either male or female, of lone parents present in the household on Census Night.
Scope
Lone parents present in the household on Census Night
Categories
Code | Category |
---|---|
1 | Male lone parent |
2 | Female lone parent |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 4
Not applicable (@) category comprises:
- Husbands, wives or partners
- Children
- Dependent students
- Other related individuals
- Non-family members
- Visitors (from within Australia)
- Persons in other non-classifiable households
- Persons in non-private dwellings
- Persons in migratory, off-shore or shipping SA1s
See Understanding supplementary codes for more information.
Question(s) from the Census form
Is the person: Male, Female
What is the person’s relationship to Person 1/Person 2?
More information
For each person away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
How this variable is created
This variable is derived from responses to the Sex and Relationship in household questions on the Census form. In a small proportion of cases, responses to Persons temporarily absent questions are also used.
Sex is captured automatically from mark box responses on the form. If a form was received but there was no response, sex is imputed. Where a respondent selected 'non-binary sex' for the Sex question, a 'male' or 'female' response is allocated using statistical processes. More information is available in the Sex (SEXP) variable.
History and changes
This variable was first introduced in 2011.
No changes have been made in 2021.
Data use considerations
Sex of lone parent (SLPP) can provide useful information when cross-classified against variables such as Labour force status (LFSP) and Occupation (OCCP).
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Spouse/partner indicator (SPIP)
Definition
This variable records the usually resident husband/wife/partner or de facto partner in a couple family. It identifies the husband/wife/partner of each family reference person counted in the same family on Census Night, or reported as temporarily absent on Census Night.
Scope
Couple families present in the household on Census Night
Categories
Code | Category |
---|---|
1 | Family reference person |
2 | Spouse/partner |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 4
Not applicable category comprises:
- Other families
- Non-family/non-classifiable households
- Group household member
- Lone person
- Other non-classifiable relationship
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
- Visitor (from within Australia)
- Overseas visitor
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
How this variable is created
This variable is derived from the the following variables:
Where a person is both the reference person in the family (RPIP category 1, 2 or 3) and is in a registered or de facto marriage they are coded to '1 Family reference person'.
Where a person is not the reference person in the family (RPIP category 5) and is in a registered or de facto marriage they are coded to '2 Spouse/partner'.
History and changes
This variable is new for 2021.
Data use considerations
A family is based off a ‘reference person’. This is usually Person 1 on the Census form. Where this isn’t Person 1, a more appropriate person on the form is chosen during coding. This is based on age, marital status, and relationship considerations. A reference person must be a usual resident of the dwelling aged 15 years and over, and present on Census Night. For example, an adult is chosen rather than a child, or in the event of multiple family households, additional reference people are chosen.
This variable identifies the spouse or partner of each family reference person counted in the same family on Census Night or reported as temporarily absent on Census Night. The couple may be in a registered or de facto marriage.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Location of spouse (SPLF)
Definition
This variable records whether the usually resident husband/wife/partner or de facto partner is present or temporarily absent from a couple family on Census Night.
Scope
Couple families in family households
Categories
Code | Category |
---|---|
1 | Present |
2 | Temporarily absent |
@ | Not applicable |
Number of categories: 3
Not applicable (@) category comprises:
- One parent families
- Other families
- Non-family/non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
For each persons away, complete the following questions:
The Census asks a number of questions for usual residents who were temporarily absent on Census night, these are known as persons temporarily absent (PTA) questions. The PTA questions below are used to derive this variable.
Example
More information
How this variable is created
This variable is derived from the Persons temporarily absent question on the Census form.
History and changes
This variable was first introduced in 1986.
No changes have been made for 2021.
Data use considerations
Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the persons temporarily absent section of the form. This can occur in both family and group households.
Due to form limitations a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household the additional people are unable to be included on the form.
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Count of persons temporarily absent from household (CPAD)
- Count of persons temporarily absent from family (CPAF)
- Relationship in household (RLHP)
- Family
- Temporarily absent
Same-sex couple indicator (SSCF)
Definition
This variable uses relationship information to indicate whether a family are a same-sex couple family.
Scope
Couple families
Categories
Code | Category |
---|---|
1 | Male same-sex couple |
2 | Female same-sex couple |
3 | Opposite-sex couple |
@ | Not applicable |
Number of categories: 4
Not applicable (@) category comprises:
- One parent families
- Other families
- Lone person households
- Group households
- Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is Person 2's relationship to Person 1?
More information
Is the person: Male; Female; Non-binary sex
How this variable is created
This variable uses responses from the Relationship in household and Sex questions on the Census form.
Sex is captured automatically from mark box responses on the form. If a form was received but there was no response, sex is imputed. Where a respondent selected 'non-binary sex' for the Sex question, a 'male' or 'female' response is allocated using statistical processes. More information is available in the Sex (SEXP) variable.
The responses are used in family coding where a person is classified as a 'partner in a de facto marriage' or ‘husband, wife or partner’. Persons temporarily absent are also taken into account. This information is then used to derive the Same-sex couple indicator (SSCF).
History and changes
This variable was first introduced in 2011.
For 2021 this variable includes same-sex marriages. Amendments to the Marriage Act 1961 came into effect on 9 December 2017 enabling all couples to legally marry. The amendments removed references to sex or gender and redefined marriage as 'the union of two people to the exclusion of all others'.
Data use considerations
Care should be taken when comparing this variable to other family data from within the ABS or external organisations or agencies. The definition of a family can differ between statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Housing
Mnemonic | Variable | Release | |
---|---|---|---|
BEDD | Number of bedrooms in private dwelling | June 2022 | |
BEDRD | Number of bedrooms in private dwelling (ranges) | June 2022 | |
DLOD | Dwelling location | June 2022 | |
DWIP | Dwelling type indicator for persons | April 2023 | |
DWTD | Dwelling type | June 2022 | |
HOSD | Housing suitability | June 2022 | |
LLDD | Landlord type | June 2022 | |
MAID | Mortgage affordability indicator | June 2022 | New |
MRED | Mortgage repayments (monthly) dollar values | June 2022 | |
MRERD | Mortgage repayments (monthly) ranges | June 2022 | |
NPDD | Type of non-private dwelling | June 2022 | |
OPGP | Homelessness operational groups | April 2023 | |
RAID | Rent affordability indicator | June 2022 | New |
RLNP | Residential status in a non-private dwelling | June 2022 | |
RNTD | Rent (weekly) dollar values | June 2022 | |
RNTRD | Rent (weekly) ranges | June 2022 | |
STRD | Dwelling structure | June 2022 | |
TEND | Tenure type | June 2022 | |
TENLLD | Tenure and landlord type | June 2022 |
Number of bedrooms in private dwelling (BEDD)
Definition
This variable records the count of bedrooms in each occupied private dwelling. A private dwelling is defined in Dwelling structure (STRD) and can include caravans in caravan parks, occupied tents, and houseboats.
This variable is available as a single Count of all bedrooms (BEDD) and in ranges (BEDRD).
In standard Census products (Quickstats, Community Profiles), number of bedrooms data are generally published in the range categories for BEDRD.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
00 | None (includes studio apartments or bedsitters) |
01-29 | 1 to 29 bedrooms singly |
30 | 30 or more bedrooms |
&& | Not stated |
@@ | Not applicable |
Number of categories: 33
Not applicable (@@) category comprises:
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
How many bedrooms are there in this dwelling?
More information
How this variable is created
This variable is created based on responses given for the Number of bedrooms question on the Census form. The responses are captured automatically from written numeric responses, or from the 'None' mark box on the paper form.
Number of bedrooms in private dwelling codes numeric responses from 0 to 29 bedrooms as reported and responses of 30 or more bedrooms are coded into the grouped category '30 or more bedrooms'.
History and changes
A question on the number of rooms/bedrooms has been included in every Australian Census since 1911. However, the question relating to number of bedrooms in a private dwelling was first asked in the 1976 Census.
The 1986 Census form asked householders to indicate the numbers of various room types within the dwelling. Only the number of bedrooms was retained in the computer record. The 1991 and 1996 censuses collected data on the number of bedrooms only.
Since the 2001 Census, respondents have been asked to write in the number of bedrooms in their dwelling rather than mark a response category. An additional 'None' mark box was added to the paper form in 2006.
In 2021, the category has been reworded from ‘None (includes bedsitters)’ to ‘None (includes studio apartments or bedsitters)’.
Data use considerations
Number of bedrooms data is commonly used to provide an indication of:
- Dwelling size
- Overcrowding by calculating occupancy ratios (i.e. the number of people per room/bedroom).
When calculating occupancy ratios, it is preferable to use the number of people usually resident in the home, rather than the number of people present in the household on Census Night. This data can be used with Dwelling structure (STRD) and Dwelling location (DLOD) to provide more context to the number of bedrooms.
The data may include a small proportion of dwellings with unusually high number of bedrooms, as all numeric responses are accepted as reported.
The non-response rate for Number of bedrooms in private dwelling (BEDD) was 5.4% in 2021. This is a decrease from 7.4% in 2016.
Useful links
Number of bedrooms in private dwelling (ranges) (BEDRD)
Definition
This variable records the number of bedrooms in each occupied private dwelling in ranges. A private dwelling is defined in Dwelling structure (STRD) and can include caravans in caravan parks, occupied tents, and houseboats.
In standard Census products (Quickstats, Community Profiles) number of bedrooms data is generally published in ranges.
Number of bedrooms is also available as a single count of all bedrooms (BEDD).
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
0 | None (includes studio apartments or bedsitters) |
1 | One bedroom |
2 | Two bedrooms |
3 | Three bedrooms |
4 | Four bedrooms |
5 | Five bedrooms |
6 | Six bedrooms or more |
& | Not stated |
@ | Not applicable |
Number of categories: 9
Not applicable (@) category comprises:
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
How many bedrooms are there in this dwelling?
More Information
How this variable is created
This variable is created based on responses given for the Number of bedrooms question on the Census form. The responses are captured automatically from written numeric responses, or from the 'None' mark box on the paper form.
The Number of bedrooms in private dwelling (ranges) (BEDRD) variable groups responses to this question. Responses from 0 to 5 are reported singly while responses for 6 or more bedrooms are coded into the grouped category of '6 or more bedrooms'.
History and changes
A question on the number of rooms/bedrooms has been included in every Australian Census since 1911. However, the question relating to number of bedrooms in a private dwelling was first asked in the 1976 Census.
The 1986 Census form asked householders to indicate the numbers of various room types within the dwelling. Only the number of bedrooms was retained in the computer record. The 1991 and 1996 Censuses collected data on the number of bedrooms only.
Since the 2001 Census, respondents have been asked to write in the number of bedrooms in their dwelling rather than mark a response category. An additional 'None' mark box was added to the paper form in 2006.
In 2021, the category has been reworded from ‘None (includes bedsitters)’ to ‘None (includes studio apartments or bedsitters)’.
Data use considerations
Number of bedrooms data is commonly used to provide an indication of:
- Dwelling size
- Overcrowding by calculating occupancy ratios (i.e. the number of people per room/bedroom).
When calculating occupancy ratios, it is preferable to use the number of people usually resident in the home, rather than the number of people present in the household on Census Night. This data can be used with Dwelling structure (STRD) and Dwelling location (DLOD) to provide more context to the number of bedrooms.
The data may include a small proportion of dwellings with unusually high number of bedrooms, as all numeric responses are accepted as reported.
This variable is derived from the Number of bedrooms in a private dwelling (BEDD) variable. The non-response rate for Number of bedrooms in private dwelling (BEDD) was 5.4% in 2021. This is a decrease from 7.4% in 2016.
Useful links
Dwelling location (DLOD)
Definition
This variable describes the location of dwellings. It classifies them into large communal locations, such as caravan parks and marinas. The majority of Private dwellings are in the ‘other’ category because they are not located within these types of communal locations.
The Dwelling structure for Private dwellings at these locations can be identified by using the variable Dwelling structure (STRD).
The term ‘residential park’ refers to caravan parks with predominantly long-term residents.
Scope
Private dwellings
Categories
Code | Category |
---|---|
1 | Caravan/residential park or camping ground |
2 | Marina |
3 | Manufactured home estate |
4 | Retirement village (self-contained) |
5 | Other |
@ | Not applicable |
Number of categories: 6
Not applicable (@) category comprises:
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
This variable is not collected from a question on the Census form.
How this variable is created
Information on Dwelling location is mainly sourced from the Address Register.
Dwelling location data was recorded by ABS Address Canvassing Officers in the lead up to the 2016 Census as a once-off part of establishing the Address Register as a mail-out frame for designated areas. Dwelling location was also verified or collected by ABS Field Officers during the 2016 and 2021 Census collection periods.
If the Dwelling location can not be determined it is set to 'Other'. Most Private dwellings fall into the 'Other' category for this data item.
History and changes
Collection methods
This variable was introduced for the 1996 Census to cater for changes in the scope of Private dwellings.
For the 2006 and 2011 censuses, information regarding this variable was collected by ABS Field officers rather than being included on the Census form.
Dwelling location has been sourced from the ABS Address Register since 2016. It is verified during field and office processes.
Categories
From 2006, the description for category 1 changed from 'Caravan park' to 'Caravan/residential park or camping ground', and the description for category 4 changed from 'Accommodation for the retired or aged (self-care)' to 'Retirement village (self-contained)'.
Data use considerations
As this variable is mainly determined by the ABS Address Register, the risk of misclassifying is low.
While the misclassification of Dwelling location (DLOD) is rare, on occasion identification and amendments were made to correct a small number of dwellings. In rare cases, an establishment may fall into more than one category of dwelling location, such as a retirement village that contains manufactured homes, or a residential park that is made up of a mixture of caravans and manufactured homes. However, a dwelling can only be allocated to a single category and in these cases a determination was made during Census processing of the most appropriate category for the dwellings in question.
Dwelling location (DLOD) does not have a non-response rate as it is sourced from the Address Register, or during Census enumeration or Processing.
Related variables and glossary terms
- Dwelling structure (STRD)
- Dwelling type (DWTD)
- Derivation
- Dwelling
- Imputation
- Manufactured home estates
Useful links
Dwelling type indicator for persons (DWIP)
Definition
This variable indicates whether a person was enumerated in a private or a non-private dwelling. It is included in the microdata products as a way of allowing users to more easily distinguish between those people enumerated in private dwellings and those enumerated in non-private dwellings without having to link to the household file.
A dwelling is a structure which is intended to have people live in it, that is it was established for short-stay or long-stay accommodation.
Scope
All persons enumerated within an occupied private or non-private dwelling.
As this is a person indicator, unoccupied private dwellings are out of scope.
Categories
Code | Category |
---|---|
1 | Enumerated in an occupied private dwelling |
2 | Enumerated in a non-private dwelling |
3 | Enumerated in other dwellings |
Number of categories: 3
Category definitions
Enumerated in an occupied private dwelling:
An ‘Occupied’ private dwelling is a private dwelling occupied by one or more people on Census Night. Most often this is a separate house, townhouse, apartment or flat. It can also be an occupied caravan, cabin, tent or boat. The structure of a dwelling can be identified by using the variable Dwelling Structure (STRD).
People staying in an Occupied private dwelling on Census Night are provided an online or paper Household form to complete. Household forms collect information about the people staying in the dwelling, their household family structure, and their housing (e.g. number of people and rooms).
The variable Dwelling Location (DLOD) can be used to identify occupied private dwellings within the following establishments:
- marinas
- manufactured home estates
- self-contained retirement villages
- caravan/residential parks
- camping grounds
Enumerated in a non-private dwelling (NPD):
Enumerated in a non-private dwelling (NPD):
NPDs provide a communal or transitory type of accommodation. These are more likely to be short-stay accommodation and are only counted if occupied on Census Night. NPDs include the following:
- hotels and motels
- guest houses
- prisons
- religious and charitable institutions
- boarding schools
- defence establishments
- hospitals
- other communal dwellings
People in NPDs on Census Night are provided an individual Personal form to complete. Personal forms collect information about the person and their residential status within the establishment, but no information on the dwelling or household family structure.
Only people are counted at NPDs, not rooms, cells, units or beds. If there are long-term owners, managers or caretakers who work and live there, extra Private dwellings (PDs) are added.
Enumerated in other dwellings:
This category comprises:
- Migratory
- Off-shore
- Shipping
Migratory is comprised of people enumerated on an overnight journey by plane, train or bus cannot be allocated a dwelling type. This category exists for data processing and data querying purposes only.
Off-shore is comprised of dwellings which exist on off-shore oil rigs and drilling platforms.
Shipping is comprised of people on ‘vessels’ travelling between ports in Australian waters i.e. ships, cargo vessels, passenger liners, ocean-going passenger or car ferries and dredges. Excluded are foreign-owned cargo vessels and those bound for overseas.
Question(s) from the Census form
This variable is not collected from a question on the Census form.
How this variable is created
This variable is derived from the Dwelling Type (DWTD) variable.
The correspondence between the two variable's categories is highlighted below.
DWTD | DWIP |
---|---|
1 Occupied private dwellings | 1 Enumerated in an occupied private dwelling |
2 Unoccupied private dwellings | Out of scope |
3 Non-private dwellings | 2 Enumerated in a non-private dwelling |
4 Migratory | 3 Enumerated in other dwellings |
5 Off-shore | 3 Enumerated in other dwellings |
6 Shipping | 3 Enumerated in other dwellings |
History and changes
This indicator has been included in every Census basic and detailed microdata product since 2006. There have been no changes made to this variable.
Data use considerations
A data error has been discovered with this variable, there is a small number of people with incorrectly coded migratory, off-shore, or shipping statuses.
The ABS does its best to have accurate Dwelling type information. However it can sometimes be difficult to determine Dwelling type for dwellings with mixed occupancy or where we were not able to make contact with the residents to confirm the type of dwelling.
Examples of mixed occupancy
Private dwelling | Non-private dwelling | |
---|---|---|
Self-contained apartments | Long-term private apartment accommodation | Short-term hotel-style accommodation |
Aged care and retirement villages | Private self-contained dwellings | Communal accommodation with supported nursing care |
Examples of misclassified dwelling types
Some non-private dwellings such as group homes for the disabled or convents and monasteries may not be easily identifiable as Non-private dwellings and may be treated as Private dwellings.
There may be misclassification between Unoccupied private dwellings and out-of-scope Private dwellings; non-residential premises and construction sites may have dwellings that are not habitable but are identified as Unoccupied private dwellings.
Related variables and glossary terms
- Dwelling type (DWTD)
- Type of non-private dwelling (NPDD)
- Dwelling location (DLOD)
- Dwelling structure (STRD)
- Derivation
- Dwelling
- Imputation
- Manufactured home estates
Useful links
Dwelling type (DWTD)
Definition
This variable classifies dwellings into the following types:
- Private dwellings (occupied and unoccupied)
- Non-private dwellings
- Migratory, off-shore and shipping areas
A dwelling is a structure which is intended to have people live in it, that is it was established for short-stay or long-stay accommodation.
The definitions for the dwellings that make up the following categories, are described below.
Scope
All dwellings
Categories
Code | Category |
---|---|
1 | Occupied private dwellings |
2 | Unoccupied private dwellings |
3 | Non-private dwellings |
4 | Migratory |
5 | Off-shore |
6 | Shipping |
Number of categories: 6
Category definitions
Occupied private dwellings:
An ‘Occupied’ private dwelling is a private dwelling occupied by one or more people on Census Night. Most often this is a separate house, townhouse, apartment or flat. It can also be an occupied caravan, cabin, tent or boat. The structure of a dwelling can be identified by using the variable Dwelling structure (STRD).
People staying in an Occupied private dwelling on Census Night are provided an online or paper Household form to complete. Household forms collect information about the people staying in the dwelling, their household family structure, and their housing (e.g. number of people and rooms).
The variable Dwelling location (DLOD) can be used to identify occupied private dwellings within the following establishments:
- marinas
- manufactured home estates
- self-contained retirement villages
- caravan/residential parks
- camping grounds
Unoccupied private dwellings:
An ‘Unoccupied’ private dwelling is most often a separate house, townhouse, apartment or flat, with no one staying there on Census Night.
In addition to the above, these Unoccupied private dwellings are also included:
- holiday homes (for owner’s use only or those rented out commercially)
- huts and cabins (unless accommodation for seasonal workers’ quarters)
- newly completed dwellings
- habitable dwellings which are due for demolition or repair
- dwellings to let
Unoccupied private dwellings in caravan or residential parks (such as holiday homes, huts and cabins), and marinas and manufactured home estates are not counted in the Census. The exception to this is the residences of owners, managers or caretakers of the establishment, and unoccupied residences in self-contained retirement villages.
Non-private dwellings (NPDs):
NPDs provide a communal or transitory type of accommodation. These are more likely to be short-stay accommodation and are only counted if occupied on Census Night. NPDs include the following:
- hotels and motels
- guest houses
- prisons
- religious and charitable institutions
- boarding schools
- defence establishments
- hospitals
- other communal dwellings
People in NPDs on Census Night are provided an individual Personal form to complete. Personal forms collect information about the person and their residential status within the establishment, but no information on the dwelling or household family structure.
Only people are counted at NPDs, not rooms, cells, units or beds. If there are long-term owners, managers or caretakers who work and live there, extra Private dwellings (PDs) are added.
Migratory:
People enumerated on an overnight journey by plane, train or bus cannot be allocated a dwelling type. This category exists for data processing and data querying purposes only.
Off-shore:
This includes dwellings which exist on off-shore oil rigs and drilling platforms.
Shipping:
This includes people on ‘vessels’ travelling between ports in Australian waters i.e. ships, cargo vessels, passenger liners, ocean-going passenger or car ferries and dredges. Excluded are foreign-owned cargo vessels and those bound for overseas.
Question(s) from the Census form
This variable is not collected from a question on the Census form.
How this variable is created
This variable is either inherited from the existing ABS Address Register (see ABS Address Register, User’s Guide) or created by Census field staff on a case by case basis. Census field staff check with some areas and establishments prior to, and after Census Night to confirm dwelling information. New dwellings may be discovered through this process and added to the the count of Census dwellings, along with any updates to dwelling types for existing addresses.
The occupancy for the majority of dwellings in Australia is determined by the returned Census form:
- a form with one or more people present on Census Night is set to 'occupied'
- a form with all usual residents away on Census Night is set to 'unoccupied'.
Dwellings from which no form is received have their occupancy determined by using a number of sources of information, including:
- ‘not at home’ forms submitted by residents through ABS online services
- residents who contacted the ABS with information
- intelligence from Census field staff making follow up visits to dwellings after Census Night
- other requests and point of contacts with dwellings.
Where these methods cannot determine dwelling occupancy, outcomes from a newly introduced Census Occupancy Model are used.
History and changes
This topic has been included in every Census release.
Since 2006:
- This data has been collected by ABS field officers rather than as part of the Census form.
- The Off-shore category was implemented for off-shore rigs and drilling platforms such as those off northern Australia. It also included people enumerated aboard ships in Australian waters, but since then, these people have been included as enumerated in the Shipping category.
- Unoccupied dwellings in self-contained retirement villages have been coded to Unoccupied private dwelling.
Data use considerations
A data error has been discovered with this variable, there is a small number of people with incorrectly coded migratory, off-shore, or shipping statuses.
The ABS does its best to have accurate Dwelling type information. However it can sometimes be difficult to determine Dwelling type for dwellings with mixed occupancy or where we were not able to make contact with the residents to confirm the type of dwelling.
Dwelling Type (DWTD) does not have a non-response rate as it is sourced from the ABS Address Register or created during Census enumeration.
Examples of mixed occupancy
Private dwelling | Non-private dwelling | |
---|---|---|
Self-contained apartments | Long-term private apartment accommodation | Short-term hotel-style accommodation |
Aged care and retirement villages | Private self-contained dwellings | Communal accommodation with supported nursing care |
Examples of misclassified dwelling types
Some non-private dwellings such as group homes for the disabled or convents and monasteries may not be easily identifiable as Non-private dwellings and may be treated as Private dwellings.
There may be misclassification between Unoccupied private dwellings and out-of-scope Private dwellings; non-residential premises and construction sites may have dwellings that are not habitable but are identified as Unoccupied private dwellings.
Related variables and glossary terms
- Dwelling location (DLOD)
- Dwelling structure (STRD)
- Type of non-private dwelling (NPDD)
- Derivation
- Dwelling
- Imputation
- Manufactured home estates
Useful links
Housing suitability (HOSD)
Definition
This variable is a measure of housing utilisation based on a comparison of the number of bedrooms in a dwelling with a series of household demographics, such as:
- the number of usual residents
- their relationship to each other
- age
- sex.
The criteria are based on the Canadian National Occupancy Standard. It can be used to identify if a dwelling is either under or over utilised.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
01 | Four or more extra bedrooms needed |
02 | Three extra bedrooms needed |
03 | Two extra bedrooms needed |
04 | One extra bedroom needed |
05 | No bedrooms needed or spare |
06 | One bedroom spare |
07 | Two bedrooms spare |
08 | Three bedrooms spare |
09 | Four or more bedrooms spare |
10 | Unable to determine |
&& | Not stated |
@@ | Not applicable |
Number of categories: 12
Not applicable (@@) category comprises:
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
- Visitor only and Non-classifiable households
Question(s) from the Census form
Is the person: Male, Female, Non-binary sex
What is the person’s date of birth and age?
Example
Example
More information
What is the person’s relationship to Person 1/Person 2?
More information
How many bedrooms are there in this dwelling?
More information
How this variable is created
This variable is derived from responses to housing and household demographic questions from the Census form. The criteria used to derive the variable are based on the Canadian National Occupancy Standard for housing appropriateness and are sensitive to both household size and composition. The measure assesses the bedroom requirements of a household by specifying that:
- there should be no more than two people per bedroom
- children less than five years of age of different sexes may reasonably share a bedroom
- children less than 18 years of age and of the same sex may reasonably share a bedroom
- single household members 18 years and over and parents or couples should have a separate bedroom
- a lone person household may reasonably occupy a bedsitter or studio.
The Housing suitability variable compares the number of bedrooms required with the actual number of bedrooms in the dwelling. It can be used to analyse the under or over utilisation of dwellings and the dwelling's suitability for the resident household.
History and changes
The data has been available through customised data requests prior to the 2016 Census. In 2016, this variable was first reported.
No changes have been made for 2021.
Data use considerations
There is no single standard measure for Housing suitability. However, the Canadian National Occupancy Standard is widely used in Australia and internationally.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Relationship in household (RLHP)
- Sex (SEXP)
- Family
- Temporarily absent
Landlord type (LLDD)
Definition
This variable records the landlord type of rented dwellings. It applies to all occupied private dwellings that are being rented, including being occupied rent free. A private dwelling is defined in Dwelling structure (STRD) and can include caravans in caravan parks, occupied tents, and houseboats.
Rented dwellings are classified in Tenure type (TEND).
Scope
Occupied private dwellings being rented (including being occupied rent free)
Code | Category |
---|---|
10 | Real estate agent |
20 | State or territory housing authority |
21 | Community housing provider |
31 | Person not in the same household - parent/other relative |
32 | Person not in the same household - other person |
40 | Owner/Manager of a residential park (including caravan parks and manufactured home estates) |
51 | Employer – Government (includes Defence Housing Australia) |
52 | Employer – other employer |
&& | Not stated |
@@ | Not applicable |
Number of categories: 10
Not applicable (@@) category comprises:
- Occupied private dwellings with Tenure type (TEND) of owned outright, owned with a mortgage, purchased under a shared equity scheme, occupied under a life tenure scheme, other and not stated
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
Is this dwelling: (please open this section to view response categories)
Example
Example
Example
Who is this dwelling being rented from?
How this variable is created
This variable is created based on responses from the Tenure type and Landlord type questions on the Census form.
Only one response can be given for this item. If respondents provide more than one response to this question in error, the first response is used.
History and changes
The question about landlord type was first asked in the 1954 Census and has been included in every subsequent Census.
In 1971, the response categories increased to three: State Housing Authority; Employer; and Other landlord. The number of response categories continued to increase from three (from 1971 until 1991) to seven (in 1996 and 2001) and then to eight for subsequent censuses.
For 2021, instructional text has been added for the Community housing provider category and the response order changed to place this category closer to the top. Additionally, the following categories have been amended as follows:
2016 | 2021 | ||
---|---|---|---|
Code | Category | Code | Category |
60 | Housing co-operative/community/church group | 21 | Community housing provider |
40 | Residential park (includes caravan parks and marinas) | 40 | Owner/manager of a residential park (includes caravan parks and manufactured home estates) |
51 | Employer - Government (includes Defence Housing Authority) | 51 | Employer - Government (includes Defence Housing Australia) |
Data use considerations
Landlord type allows data to be produced for studies of the socioeconomic characteristics of different tenants. It also allows for comparisons with residents in privately owned accommodation.
This data can be used with Dwelling structure (STRD) and Dwelling location (DLOD) to provide more context to the Landlord type.
The non-response rate for Landlord type (LLDD) was 0.9% in 2021. This is a decrease from 1.8% in 2016.
Useful links
Mortgage affordability indicator (MAID)
Definition
This variable allocates an in scope household to one of two categories:
- mortgage repayments less than or equal to 30% of household income
- mortgage repayments more than 30% of household income.
Scope
Occupied private dwellings owned with a mortgage or purchased under a shared equity scheme
Categories
Code | Category |
---|---|
1 | Households where mortgage repayments are less than or equal to 30% of household income |
2 | Households where mortgage repayments are more than 30% of household income |
3 | Unable to be determined |
@ | Not applicable |
Number of categories: 4
Not applicable (@) category comprises:
- Unoccupied private dwellings
- Visitor only households
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
- Other non-classifiable dwellings
- Tenure type (TEND) - Owned outright, Rented, Occupied rent-free, Occupied under a life tenure scheme, Other tenure type, Not stated, Not applicable
Question(s) from the Census form
What is the total of all income the person usually receives?
More Information
Is this dwelling: (please open this section to view response categories)
Example
Example
Example
How much does your household pay for this dwelling?
More information
How this variable is created
The Mortgage affordability indicator is calculated by dividing Mortgage repayments (MRED) by an imputed household income. Both variables are expressed as single dollar values. The calculation determines whether mortgage repayments are:
- less than or equal to 30% of household income
- more than 30% of household income
The Census collects the income of each person in the household aged 15 years or over in ranges. To sum these personal income values to calculate a household income, a specific dollar amount is allocated to each person. A median dollar value for each range, derived using data from the Survey of Income and Housing, is used for this purpose. For more information about this survey see the Survey of Income and Housing, User Guide.
Mortgage repayments are already collected in a single dollar amount.
Mortgage affordability indicator is coded to ‘Unable to be determined’ where:
History and changes
This is a new variable for 2021. QuickStats will use the Mortgage affordability indicator variable, and therefore comparisons shouldn’t be made with previous Census data in QuickStats.
In previous censuses, a measure of mortgage affordability could only be obtained from QuickStats. This measure was different from MAID as it used all occupied private dwellings whether owned outright, owned with a mortgage or rented, as the denominator population.
MAID only applies to dwellings owned with a mortgage or purchased under a shared equity scheme, which is a more accurate representation of the population to measure mortgage affordability.
Data use considerations
As housing costs are usually a major component of total living costs they are often analysed in relation to income and referred to as a housing affordability ratio. However, comparisons using these measures are subject to certain limitations.
As described above, the Census collects personal income in ranges. For this purpose, a single median value for each income range is calculated. It should also be noted that individuals may tend to understate their incomes on the Census, compared with the amounts that would be reported in surveys designed specifically to measure incomes. As a result of these limitations, the use of Census imputed incomes in the calculation of each household’s housing costs to income ratio may significantly overstate the true proportion of households with mortgage repayments greater than 30% of income.
Mortgage repayments may be greater than 30% of income for a number of reasons, and do not necessarily indicate being in financial stress.
- Mortgage repayments normally include both an interest component and a principal or capital component. For some analyses, repayments of principal may be considered a form of saving rather than a housing cost.
- High mortgage repayments may reflect a choice to buy a more expensive home, for example in an area that is close to their place of employment, or a preference for a relatively high standard of housing compared with other consumption possibilities.
- Some households choose to pay more than the minimum required payment, to pay off a mortgage faster.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Mortgage repayments (monthly) dollar values (MRED)
Definition
This variable records the monthly mortgage repayments being paid by a household for the dwelling in which they were counted on Census Night. It is applicable to occupied private dwellings. A private dwelling is defined in Dwelling structure (STRD) and can include caravans in caravan parks, occupied tents, and houseboats.
The Census collects this information in single dollar values. For practical purposes this information is recoded to a specific number of ranges for standard Census products (such as QuickStats and Community Profiles). The ranges are listed in Mortgage repayments (monthly) ranges (MRERD).
Scope
Occupied private dwellings that are owned with a mortgage (including being purchased under a shared equity scheme)
Categories
Code | Category |
---|---|
0000 - 9999 | $0 to $9,999 singly |
&&&& | Not stated |
@@@@ | Not applicable |
Number of categories: 10,002
Not applicable (@@@@) category comprises:
- Occupied private dwellings with Tenure type (TEND) of owned outright, rented, being occupied rent free, being occupied under a life tenure scheme, other and not stated
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
Is this dwelling: (please open this section to view response categories)
Example
Example
Example
How much does your household pay for this dwelling?
More information
How this variable is created
Data for this variable is derived from the Tenure type and Housing costs questions on the Census form. Household repayments data is automatically captured from numeric text responses.
History and changes
The question relating to Mortgage repayments (monthly) dollar values was first asked for the 1976 Census, though in some previous years this variable has been referred to as ‘Housing loan repayments (monthly)’. Since 2011, Nil repayments is recorded as $0 in Mortgage repayments (monthly) dollar values and as a separate category called ‘Nil repayments’ in Mortgage repayments (monthly) ranges. Prior to 2011 a response of nil was coded as ‘Not Stated’.
No changes have been made for 2021.
Data use considerations
The data in these variables is important for the analysis of home ownership and for providing benchmark data for evaluating housing needs, housing finance and housing demand.
Processing Mortgage repayments (monthly) dollar values is subject to some recognition error for responses provided on paper Census forms, particularly when responses incorrectly include cents and the decimal point is missing or unclear. Some high or low values when combined with income may form unlikely combinations. While the data is subject to data assurance checks to ensure an acceptable level of quality, numeric responses are accepted as reported by the respondents on the form.
The non-response rate for Mortgage repayments (monthly) dollar values (MRED) was 6.0% in 2021. This is an increase from 4.2% in 2016.
Related variables and glossary terms
- Mortgage repayment (monthly) ranges (MRERD)
- Dwelling structure (STRD)
- Household composition (HHCD)
- Tenure type (TEND)
- Mortgage affordability indicator (MAID)
- Rent affordability indicator (RAID)
- Derivation
- Imputation
Useful links
Mortgage repayments (monthly) ranges (MRERD)
Definition
This variable records the mortgage repayments being paid by a household in ranges. It is applicable to occupied private dwellings on Census Night. A private dwelling is defined in Dwelling structure (STRD) and can include caravans in caravan parks, occupied tents, and houseboats.
For practical purposes this information is recoded to a specific number of ranges for standard Census products (such as QuickStats and Community Profiles).
The Census also collects this information in single dollar values (MRED).
Scope
Occupied private dwellings that are owned with a mortgage (including being purchased under a shared equity scheme)
Categories
Code | Category |
---|---|
01 | Nil repayments |
02 | $1-$149 |
03 | $150-$299 |
04 | $300-$449 |
05 | $450-$599 |
06 | $600-$799 |
07 | $800-$999 |
08 | $1,000-$1,199 |
09 | $1,200-$1,399 |
10 | $1,400-$1,599 |
11 | $1,600-$1,799 |
12 | $1,800-$1,999 |
13 | $2,000-$2,199 |
14 | $2,200-$2,399 |
15 | $2,400-$2,599 |
16 | $2,600-$2,799 |
17 | $2,800-$2,999 |
18 | $3,000-$3,499 |
19 | $3,500-$3,999 |
20 | $4,000-$4,999 |
21 | $5,000 and over |
&& | Not stated |
@@ | Not applicable |
Number of categories: 23
Not applicable (@@) category comprises:
- Occupied private dwellings with Tenure type (TEND) of owned outright, rented, being occupied rent free, being occupied under a life tenure scheme, other and not stated
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
Is this dwelling: (please open this section to view response categories)
Example
Example
Example
How much does your household pay for this dwelling?
More information
How this variable is created
Data for this variable is derived from the Tenure type and Housing costs questions on the Census form. Household repayments data is automatically captured from numeric text responses.
History and changes
The question relating to Mortgage repayments (monthly) dollar values was first asked for the 1976 Census, though in some previous years this variable has been referred to as ‘Housing loan repayments (monthly)’. Since 2011, Nil repayments is recorded as $0 in Mortgage repayments (monthly) dollar values and as a separate category called ‘Nil repayments’ in Mortgage repayments (monthly) ranges. Prior to 2011 a response of nil was coded as ‘Not Stated’.
No changes have been made for 2021.
Data use considerations
The data in these variables is important for the analysis of home ownership and for providing benchmark data for evaluating housing needs, housing finance and housing demand.
Processing Mortgage repayments (monthly) dollar values is subject to some recognition error for responses provided on paper Census forms, particularly when responses incorrectly include cents and the decimal point is missing or unclear. Some high or low values when combined with income may form unlikely combinations. While the data is subject to data assurance checks to ensure an acceptable level of quality, numeric responses are accepted as reported by the respondents on the form.
This variable is derived from Mortgage repayments (monthly) dollar values (MRED). The non-response rate for Mortgage repayments (monthly) dollar values (MRED) was 6.0% in 2021. This is an increase from 4.2% in 2016.
Useful links
Type of non-private dwelling (NPDD)
Definition
This variable classifies the Type of non-private dwelling in which people were counted on Census Night. Non-private dwellings (NPDs) are establishments which provide a communal and often short-term type of accommodation.
'Other and non-classifiable' includes all other types of NPDs not listed, including ski lodges and youth or backpacker hostels.
Scope
Non-private dwellings
Categories
Code | Category |
---|---|
01 | Hotel, motel, bed and breakfast |
02 | Nurses’ quarters |
03 | Staff quarters |
04 | Boarding house, private hotel |
05 | Boarding school |
06 | Residential college, hall of residence |
07 | Public hospital (not psychiatric) |
08 | Private hospital (not psychiatric) |
09 | Psychiatric hospital or institution |
10 | Hostel for the disabled |
11 | Nursing home |
12 | Accommodation for the retired or aged (not self-contained) |
13 | Hostel for homeless, night shelter, refuge |
14 | Child care institution |
15 | Corrective institution for children |
16 | Other welfare institution |
17 | Prison, corrective institution for adults |
18 | Immigration detention centre |
19 | Convent, monastery, etc |
20 | Other and non-classifiable |
&& | Not stated |
@@ | Not applicable |
Number of categories: 22
Not applicable (@@) category comprises:
- Occupied and unoccupied private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
This variable is not collected from a question on the Census form.
How this variable is created
The types of Non-private dwelling is sourced from the ABS Address Register. For information on how the Address Register is maintained, refer to ABS Address Register, Users' Guide.
It is reviewed by Census enumeration management staff prior to Census Night and verified by Census Field Officers after calls or visits to the establishments. Non-private dwellings can also be created or have their details modified throughout this time.
History and changes
Information on the types of Non-private dwellings that people are located in on Census Night has been collected in every Census since 1911.
Since the 2006 Census, additional response options were introduced to identify immigration detention centres, youth or backpacker hostels and ski lodges.
Since 2016, NPD type is sourced from the ABS Address Register and is updated as needed from information collected by ABS field officers during enumeration.
The output categories for this classification were unchanged for 2021.
Data use considerations
Hotels (01) and private hotels (04) are categorised differently within Type of non-private dwelling (NPDD). This is mainly because of differences in length of residency, service provision, and how the hotel or private hotel classifies itself.
‘Accommodation for the retired or aged (not self-contained)’ (12) is accommodation where meals are provided.
Self-contained retirement villages where the residents live independently are not classified as Non-private dwellings. These are Occupied private dwellings and can be identified by the variable Dwelling location (DLOD).
'Other welfare institutions' (16) have increased in 2021. Address lists are sourced from state and territory governments and non-government organisations to identify accommodation for the homeless. These lists were more comprehensive in the 2021 Census than in previous censuses.
The 2021 Census also requested tenure information from these list providers so that addresses could be more accurately classified as 'Hostels for the homeless' (13) or 'Other welfare institutions' (16). Short-term accommodation was coded as 'Hostels for the homeless' (13) while medium-term accommodation/transitional housing and long-term accommodation was coded as 'Other welfare institutions' (16).
The coding is based on the Australian Institute of Health and Welfare (AIHW) definition of Supported accommodation type that also informs the Supported Accommodation flag that indicates homelessness.
Type of non-private dwelling (NPDD) does not have a non-response rate as it is sourced from the ABS Address Register.
Related variables and glossary terms
- Dwelling location (DLOD)
- Dwelling type (DWTD)
- Boarding school student
- Derivation
- Imputation
- Dwelling
Useful links
Rent affordability indicator (RAID)
Definition
This variable allocates an in scope household to one of two categories:
- rent payments less than or equal to 30% of household income
- rent payments more than 30% of household income.
Scope
Occupied private dwellings being rented
Categories
Code | Category |
---|---|
1 | Households where rent repayments are less than or equal to 30% of household income |
2 | Households where rent repayments are more than 30% of household income |
3 | Unable to be determined |
@ | Not applicable |
Number of categories: 4
Not applicable (@) category comprises:
- Unoccupied private dwellings
- Visitor only households
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
- Other non-classifiable dwellings
- Tenure type (TEND) - Owned outright, Occupied rent-free, Occupied under a life tenure scheme, Other tenure type, Not stated, Not applicable
Question(s) from the Census form
What is the total of all income the person usually receives?
More Information
Is this dwelling: (please open this section to view response categories)
Example
Example
Example
How much does your household pay for this dwelling?
More information
How this variable is created
The Rent affordability indicator is calculated by dividing rent payments (RNTD) by an imputed household income. Both variables are expressed as single dollar values. The calculation determines whether rent payments are:
- less than or equal to 30% of household income
- more than 30% of household income
The Census collects the income of each person in the household aged 15 years or over in ranges. To sum these personal income values to calculate a household income, a specific dollar amount is allocated to each person. A median dollar value for each range, derived using data from the Survey of Income and Housing, is used for this purpose. For more information about this survey see the Survey of Income and Housing, User Guide.
Rent payments are already collected in a single dollar amount.
Rent affordability indicator is coded to ‘Unable to be determined’ where:
History and changes
This is a new variable for 2021. QuickStats will use the Rent affordability indicator (RAID) variable, and therefore comparisons shouldn’t be made with previous Census data in QuickStats.
In previous censuses, a measure of rental affordability could only be obtained from QuickStats. This measure was different from RAID as it used all occupied private dwellings whether owned outright, owned with a mortgage or rented, as the denominator population.
RAID only applies to dwellings being rented, which is a more accurate representation of the population to measure rental affordability.
Data use considerations
As housing costs are usually a major component of total living costs they are often analysed in relation to income, and referred to as a housing affordability ratio. However, comparisons using these measures are subject to certain limitations. As described above, the Census collects personal income in ranges. For this purpose, a single median value for each income range is calculated. It should also be noted that individuals may tend to understate their incomes on the Census, compared with the amounts that would be reported in surveys designed specifically to measure incomes. As a result of these limitations, the use of Census imputed incomes in the calculation of each household’s housing costs to income ratio may significantly overstate the true proportion of households with rent payments greater than 30% of income.
Households are often reimbursed some of their housing costs, but these reimbursements may not be offset in housing costs reported in the Census but included instead in income. Employer subsidies and Commonwealth Rent Assistance (CRA) are examples where the housing costs to income ratio is significantly affected by the default treatment of these amounts in Census reporting. This is particularly important when comparing ratios for households in public housing with those who are in receipt of CRA.
Rent payments greater than 30% of income may not necessarily indicate that a household is in financial stress.
- Some households may choose to live in an area with high property values because it is close to their place of employment or they prefer a relatively high standard of housing compared with other consumption possibilities.
- Higher income households may be able to spend more of their income on housing without this affecting their ability to pay for other costs of living. Lower income households may have less choice and capacity in this regard. For this reason, housing affordability ratios, such as this, are usually limited to lower income households.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Residential status in a non-private dwelling (RLNP)
Definition
This variable describes the residential status of each person in a non-private dwelling. It records whether people enumerated in non-private dwellings (such as motels, hospitals and colleges) are staying there as:
- members of staff of the accommodation (e.g. owner, proprietor, porter, cook, teacher, warden, family of owner or family of staff)
- residents
- guests
- patients
- inmates.
Housing and family relationship information is not available for people in non-private dwellings because they are counted using Personal forms.
Scope
All persons in a non-private dwelling on Census Night
Categories
Code | Category |
---|---|
1 | Owner, proprietor, staff and family |
2 | Guest, patient, inmate, other resident |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 5
Not applicable (@) category comprises:
- Persons in occupied private dwellings
- Persons in migratory, off-shore or shipping SA1s
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the person’s residential status in this dwelling?
More information
How this variable is created
This variable is collected through the Census Personal form. Data is captured from the Residential status in this dwelling question, and responses are captured in 8 separate mark box responses. These responses are then grouped into two output categories.
History and changes
A question on status in a non-private dwelling was first asked in the 1976 Census and has been asked for every Census since then.
No changes have been made for 2021.
Data use considerations
Residential status in a non-private dwelling is only applicable to persons who were in a non-private dwelling on Census Night and were enumerated on a Census Personal form.
The non-response rate for Residential status in a non-private dwelling (RLNP) was 42.0% in 2021. This is an increase from 27.6% in 2016. Non-response is generally higher for persons who were staying at a non-private dwelling on Census Night than those counted in an occupied private dwelling.
The higher percentage of non-response may be related to COVID-19, the uptake of the online form and the introduction of a new pathway to complete a Census form without receiving Census material in the mail. COVID-19 related restrictions limited the ability to enumerate non-private dwellings using the Personal Form. Additionally, some people staying in non-private dwellings accessed the Household form rather than the Personal form using the new pathway to the Census website. The Household form does not capture details on NPD type and Residential status that are collected on Personal Forms.
Related variables and glossary terms
- Type of non-private dwelling (NPDD)
- Derivation
- Household form
- Imputation
- Personal form
Useful links
Rent (weekly) dollar values (RNTD)
Definition
This variable records the individual dollar amounts of rent paid by households on a weekly basis for the dwelling in which they were counted on Census Night. A private dwelling is defined in Dwelling structure (STRD) and can include caravans in caravan parks, occupied tents, and houseboats.
In standard Census products (Quickstats, Community profiles), ranges are used rather than individual dollar amounts. The ranges are listed in Rent (weekly) ranges (RNTRD).
Scope
Occupied private dwellings being rented
Categories
Code | Category |
---|---|
0001-9999 | $1 to $9,999 singly |
&&&& | Not stated |
@@@@ | Not applicable |
Number of categories: 10,001
Not applicable (@@@@) category comprises:
- Occupied private dwellings with Tenure type (TEND) of Owned outright, Owned with a mortgage, Being purchased under a shared equity scheme, Being occupied under a life tenure scheme, Occupied rent free, Other and Not stated
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
Is this dwelling: (please open this section to view response categories)
Example
Example
Example
How much does your household pay for this dwelling?
More information
How this variable is created
This variable is derived from the Tenure type and Household payments questions on the Census form.
Household payments data is automatically captured from numeric text responses. If rental payment responses are reported as a fortnightly or monthly figure they are derived to a weekly figure. Responses to the tenure type question are used to determine whether payments are recorded as rent or mortgage repayments.
History and changes
Information on how much rent is paid for a private dwelling has been collected for all censuses since 1911.
Since the 1996 Census, the actual dollar amount paid for a dwelling has been collected rather than the range.
In 2021, the applicability has changed so that dwellings with the Tenure type of 'Occupied rent free' are included in the Not applicable category. Consequently $0 (category 0000) has been removed.
Data use considerations
The Census is the only source of rent data for small areas and for small groups of the population. Such data is important for housing policy and planning, and for studying the housing conditions of small populations.
Processing Rent (weekly) dollar values (RNTD) is subject to some recognition error for responses provided on paper Census forms, particularly when responses incorrectly include cents and the decimal point is missing or unclear. While the data is subject to data assurance checks to ensure an acceptable level of quality, numeric responses are accepted as reported by respondents on the form.
The non-response rate for Rent (weekly) dollar values (RNTD) was 3.9% in 2021. This is an increase from 3.4% in 2016.
Related variables and glossary terms
- Rent (weekly) ranges (RNTRD)
- Tenure type (TEND)
- Mortgage repayments (monthly) dollar values (MRED)
- Derivation
- Imputation
Useful links
Rent (weekly) ranges (RNTRD)
Definition
This variable records the rent paid for a dwelling on a weekly basis in ranges. It is applicable to the dwelling the household was counted in on Census Night. A private dwelling is defined in Dwelling structure (STRD) and can include caravans in caravan parks, occupied tents, and houseboats.
This data is output in standard Census products (QuickStats, Community profiles) in ranges.
Rent is also captured in individual dollar amounts in Rent (weekly) dollar values (RNTD).
Scope
Occupied private dwellings being rented
Categories
Code | Category |
---|---|
01 | $1 - $74 |
02 | $75 - $99 |
03 | $100 - $124 |
04 | $125 - $149 |
05 | $150 - $174 |
06 | $175 - $199 |
07 | $200 - $224 |
08 | $225 - $249 |
09 | $250 - $274 |
10 | $275 - $299 |
11 | $300 - $324 |
12 | $325 - $349 |
13 | $350 - $374 |
14 | $375 - $399 |
15 | $400 - $424 |
16 | $425 - $449 |
17 | $450 - $474 |
18 | $475 - $499 |
19 | $500 - $524 |
20 | $525 - $549 |
21 | $550 - $649 |
22 | $650 - $749 |
23 | $750 - $849 |
24 | $850 - $949 |
25 | $950 and over |
&& | Not stated |
@@ | Not applicable |
Number of categories: 27
Not applicable (@@) category comprises:
- Occupied private dwellings with Tenure type (TEND) of Owned outright, Owned with a mortgage, Being purchased under a rent/buy scheme, Being occupied under a life tenure scheme, Occupied rent free, Other and Not stated
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
Is this dwelling: (please open this section to view response categories)
Example
Example
Example
How much does your household pay for this dwelling?
More information
How this variable is created
This variable is derived from the Tenure type and Household payments questions on the Census form.
Household payments data is automatically captured from numeric text responses. If rental payment responses are reported as a fortnightly or monthly figure they are derived to a weekly figure. Responses to the Tenure type question are used to determine whether payments are recorded as rent or mortgage repayments.
History and changes
Information on how much rent is paid for a private dwelling has been collected for all censuses since 1911.
Since the 1996 Census, the actual dollar amount paid for a dwelling has been collected rather than the range.
In 2021, the output categories for the dollar ranges have been revised. Category 18 splits into four $25 intervals (categories 18-21), increasing the number of categories from 25 in 2016 to 27 in 2021. The applicability has changed so that now dwellings with the Tenure type of 'Occupied rent free' are included in the Not applicable category and the 01 category starts at $1.
Data use considerations
The Census is the only source of rent data for small areas and for small groups of the population. Such data is important for housing policy and planning, and for studying the housing conditions of small populations.
Processing Rent (weekly) dollar values (RNTD) is subject to some recognition error for responses provided on paper Census forms, particularly when responses incorrectly include cents and the decimal point is missing or unclear. While the data is subject to data assurance checks to ensure an acceptable level of quality, numeric responses are accepted as reported by respondents on the form.
This variable is derived from Rent (weekly) dollar values (RNTD). The non-response rate for Rent (weekly) dollar values (RNTD) was 3.9% in 2021. This is an increase from 3.4% in 2016.
Useful links
Dwelling structure (STRD)
Definition
This variable records the structure of private dwellings.
Scope
Private dwellings
Categories
Code | Category |
---|---|
11 | Separate house |
21 | Semi-detached, row or terrace house, townhouse etc. with one storey |
22 | Semi-detached, row or terrace house, townhouse etc. with two or more storeys |
31 | Flat or apartment in a one or two storey block |
32 | Flat or apartment in a three storey block |
33 | Flat or apartment in a four to eight storey block |
34 | Flat or apartment in a nine or more storey block |
35 | Flat or apartment attached to a house |
91 | Caravan |
92 | Cabin, houseboat |
93 | Improvised home, tent, sleepers out |
94 | House or flat attached to a shop, office, etc. |
&& | Not stated |
@@ | Not applicable |
Number of categories: 14
Not applicable (@@) category comprises:
- Non-private dwellings
- Migratory, off-shore and shipping SA1
Category definitions
Separate house
- Is structurally independent from surrounding dwellings.
- May have a flat attached to it, such as a granny flat or converted garage (the flat is categorised under Flat or apartment - see below).
- The number of storeys of separate houses is not recorded.
- Dwellings in manufactured home estate.
Semi-detached, row or terrace house, townhouse, etc. with one, two or more storeys
- Have their own private grounds.
- No other dwelling above or below them.
- They are attached in some structural way to one or more neighbouring dwellings.
Flat or apartment
- Dwellings in blocks of flats or apartments.
- Do not have their own private grounds.
- Usually share a common entrance foyer or stairwell.
- Flats attached to houses such as granny flats, and houses converted into two or more flats.
Caravan
- Includes all occupied caravans, regardless of where they are located. Occupied campervans are also included. For further detailed information see Caravans in this glossary.
Cabins and houseboats
- This includes all occupied cabins and houseboats.
- Cabins are self-contained and not intended for long-term residential use. This includes occupied cabins located in residential parks or set up as temporary accommodation.
- A houseboat is an occupied mobile dwelling (intended for use on water). It is not typically intended for long-term use, although it could be currently used on a permanent or semi-permanent basis.
- Occupied houseboats are treated as occupied private dwellings regardless of location.
- Separate houses in caravan or residential parks or marinas occupied by managers or caretakers are not included in this category.
Improvised home, tent, sleepers-out
- These include sheds, tents, humpies and other improvised dwellings that were occupied on Census night.
- This category includes people sleeping-out, including those sleeping on the streets, in abandoned buildings, under bridges or in cars.
House or flat attached to a shop, office, etc.
- A house or flat attached to a shop, office, factory or any other non-residential structure is included in this category.
Question(s) from the Census form
This variable is not collected from a question on the Census form.
How this variable is created
Initially, this data is sourced from the ABS Address Register. For more details, refer to the ABS Address Register, Users' Guide.
In some cases the Dwelling structure is updated after information is returned from ABS field officers during their visits to dwellings.
New dwellings added by Census staff can have their Dwelling structure added by the field officer or imputed from the surrounding dwellings during processing.
Depending on Dwelling structure type and the method by which the Address Register is updated, the private dwelling’s structure can be derived from the Address Register (with Building Approvals data also assisting in some cases) or information obtained by Census field officers. Structure for Non-private dwellings (NPDs) are set to ‘not applicable’.
Certain types of dwelling structures, such as 'Improvised homes, tent, sleepers-out' are given particular attention during data processing to quality assure the homeless population.
History and changes
Some information on the structure of Private dwellings has been collected for all censuses since 1911, though the specific types of classification used have varied significantly.
Cabins and Houseboats
Prior to the 1986 Census, occupied craft in marinas were treated as Non-private dwellings, however occupied houseboats and occupied small boats are now treated as Occupied private dwellings.
Collection methods before 2016
From 1976 to 2011, the information on Dwelling structure was collected by Census Field Officers in the Collector Record Book at the time the Census forms were delivered instead of being on the Census form.
In 2016 there was a change in the way the data was collected. It was initially recorded by ABS Address Canvassing Officers in the lead up to the Census, as part of establishing the Address Register as a mail-out frame for designated areas (93% of Australian addresses). In areas enumerated using the traditional approach of delivering forms, the information was collected by ABS Field Officers during the Census collection period. Location of private dwelling data was also updated as required by ABS Field Officers during the Census enumeration period. Dwellings in remote areas continue to have their structure collected solely by field officers.
In 2021, the Address Register is considered the main source of Dwelling location data, and real-world frame amendments are made when appropriate, by Field and Office staff.
Categories
For the 2016 Census, there was a change to one of the response categories for this variable. The previous category of 'Caravan, cabin or houseboat' was separated into two categories:
- Caravan
- Cabin, houseboat
In 2021, there has been further disaggregation of the flat/apartment categories to align with different building rules in place for buildings with a height greater than 25 metres and to meet increasing stakeholder demand for more data about high rise apartment buildings. The previous category ‘In a four or more storey block’ is separated into two categories:
- In a four to eight storey block
- In a nine or more storey block
Separate house and semi-detached definitions
For the 2021 Census, there is a change to the half a metre rule that had previously distinguished separate houses from semi-detached dwellings. The new definition is purely structural in which a separate house (constructed in the last 20 years) must be structurally independent, regardless of separation from adjacent dwellings. This change aligns with the way structure data is provided for the Building Approvals collection. See Housing variables for more information.
Missing dwelling structure
For the 2021 Census, addresses that do not have Dwelling structure recorded from observation or by the ABS address register can have the information populated by imputation.
Data use considerations
Data on Dwelling structure is used to monitor changes in housing characteristics, to help formulate housing policies and to review existing housing stock.
Minor inconsistencies in Dwelling structure counts may exist between censuses due to updated information on structure to the ABS Address Register and the subjective interpretation of structural definitions between individual Field Officers.
Although a review has been conducted to update Dwelling structure in light of changes to the half a metre rule for buildings constructed in the last 20 years, some older dwellings may still reflect the old definition.
Flats attached to houses are at a high risk of being missed as they are hard to identify, this is also the case for flats above shops.
The non-response rate for Dwelling structure (STRD) was 0.3% in 2021. This is a decrease from 0.5% in 2016.
Non-response for this variable was largely caused by previously unidentified dwellings being added to the census frame. This can occur when a member of the public submits their form online for an address that is not on the ABS Address Register or contacts the Census Inquiry Service. This results in dwelling structure not being recorded and is therefore left as a not stated response.
Dwellings with no dwelling structure coded went through an imputation process to try and assign a structure code based on surrounding dwellings. Where a structure was unable to be assigned, the dwelling structure remained as not stated.
Related variables and glossary terms
- Dwelling location (DLOD)
- Dwelling type (DWTD)
- Caravans
- Derivation
- Dwelling
- Imputation
- Homelessness enumeration
Useful links
Tenure type (TEND)
Definition
This variable describes whether a dwelling is owned, being purchased or rented.
The tenure category 'Being purchased under a shared equity scheme' refers to households who are purchasing less than 100% equity in the dwelling, and may or may not be paying rent for the remainder.
‘Occupied under a life tenure scheme' refers to households or individuals who have a 'life tenure' contract to live in the dwelling but usually have little or no equity in the dwelling. This is a common arrangement in retirement villages.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
1 | Owned outright |
2 | Owned with a mortgage |
3 | Purchased under a shared equity scheme |
4 | Rented |
5 | Occupied rent free |
6 | Occupied under a life tenure scheme |
7 | Other |
& | Not stated |
@ | Not applicable |
Number of categories: 9
Not applicable (@) category comprises:
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
Is this dwelling: (please open this section to view response categories)
Example
Example
Example
How this variable is created
This variable is derived from responses to the Tenure type question on the Census form which asks if the dwelling is owned, being purchased or being rented.
Respondents are asked to only mark one response. Where a respondent provides more than one response, the responses are accepted in the order they appear on the form and the extra responses are rejected.
History and changes
The question relating to Tenure type (TEND) was first asked for the 1911 Census. From 1976 to 1991, nature of occupancy data was derived from mortgage and rent questions. For all other censuses a direct question on nature of occupancy was included.
Since 2006, the question on tenure type has changed to remain consistent with the current ABS statistical standard for tenure type. It captures the difference between owners with and without a mortgage. Prior to this it differentiated whether a dwelling was owned outright or being purchased.
For 2021, minor changes were made to category labels.
Data use considerations
There are no known data use considerations at this time.
The non-response rate for Tenure type (TEND) was 5.4% in 2021. This is a decrease from 7.7% in 2016.
Related variables and glossary terms
- Landlord type (LLDD)
- Derivation
- Dwelling
- Household
- Imputation
Useful links
Tenure and landlord type (TENLLD)
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
1 | Owned outright |
2 | Owned with a mortgage |
3 | Rented: Real estate agent |
4 | Rented: State or territory housing authority |
5 | Rented: Community housing provider |
6 | Rented: Person not in same household |
7 | Rented: Other landlord type |
8 | Rented: Landlord type not stated |
9 | Other tenure type |
& | Tenure type not stated |
@ | Tenure type not applicable |
Number of categories: 11
- Other tenure type includes dwellings being occupied rent free and dwellings being occupied under a life tenure scheme
- Owned with a mortgage includes dwellings being purchased under a shared equity scheme
Not applicable (@) category comprises:
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
Is this dwelling: (please open this section to view response categories)
Example
Example
Example
Who is this dwelling being rented from?
How this variable is created
This variable is derived from responses to the Tenure type and Landlord type questions on the Census form.
History and changes
The Tenure and landlord type (TENLLD) combined variable was first available for use during the 2011 Census. Prior to this, data was obtained by manually combining the Tenure type (TEND) and Landlord type (LLDD) variables.
For 2021, the category ‘Rented: Housing co-operative, community or church group’ has been reworded to ‘Rented: Community housing provider’, and it has been repositioned to category 5, moving the category ‘Rented: Person not in same household’ to category 6.
‘Other tenure type’ has been rescoped for 2021 to include houses being occupied rent free, which in previous censuses have been covered by the rented categories (4-8), to align with the ABS Standard for Tenure Type.
Data use considerations
'Other tenure type' includes dwellings occupied under a life tenure scheme and dwellings occupied rent free. 'Owned with a mortgage' includes dwellings being purchased under a shared equity scheme (termed a rent/buy scheme in 2011).
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Useful links
Homelessness operational groups (OPGP)
Definition
This variable records the operational group of persons estimated to be homeless or marginally housed on Census Night.
Scope
All persons who are estimated to be homeless or marginally housed
Categories
Code | Category |
---|---|
Homelessness operational groups | |
1 | Persons living in improvised dwellings, tents or sleeping out |
2 | Persons in supported accommodation for the homeless |
3 | Persons staying temporarily with other households |
4 | Persons living in boarding houses |
5 | Persons in other temporary lodgings |
6 | Persons living in ‘severely’ crowded dwellings |
Other marginal housing groups | |
7 | Persons living in other crowded dwellings |
8 | Persons in other improvised dwellings |
9 | Persons who are marginally housed in caravan parks |
Not applicable | |
@ | Not Applicable |
Number of categories: 10
Not applicable comprises:
- Persons who were not estimated to be homeless or marginally housed on Census Night
Question(s) from the Census form
Where does the person usually live?
More information
The homelessness enumeration strategy uses support from service providers and a range of Census forms to capture the data. Rough sleepers were captured using the Special short form. Couch surfers and other people in temporary lodgings were captured using the Census Household form and were instructed to respond 'none' to the usual address question. Some Aboriginal and Torres Strait Islander discrete communities were captured using the Interviewer household form.
How this variable is created
Homelessness is not a characteristic that is directly measured in the Census. Estimates of the homeless population are derived from the Census using analytical techniques, based on both the characteristics observed in the Census and assumptions about the way people may respond to Census questions.
The categories listed under Homeless operational groups (categories 1-6) can be summed to form a Total estimate of homelessness.
The categories listed under Other marginal housing groups (categories 7-9) are considered to be ‘Marginally housed’. This means that the living arrangements are close to the statistical boundary of homelessness and the person may be at risk of homelessness. Other types of marginal housing, such as housing with major structural problems or where residents are in constant threat of violence, cannot be obtained from the Census and are therefore not included.
While these categories will overlap in a small number of circumstances, people are only assigned to one category to avoid double counting. This is done by only including them in the group that is the highest on the hierarchy. For example, a person in supported accommodation for the homeless may also be living in 'severely' crowded dwellings, but the person will only be coded to the category 2 Persons in supported accommodation for the homeless. This category is higher on the hierarchy than category 6 Persons living in 'severely' crowded dwellings'.
History and changes
There is a long history of collecting information relevant to identifying homeless people in the Census.
1933-1991:
- in the 1933 and 1947 Censuses, a question was asked for the ‘number of persons (if any) who slept out throughout the year on verandahs (not enclosed sleep-outs)'
- in 1986, a dwelling structure category ‘Improvised dwelling’ was provided on the form for the Census collector to mark
- in 1991 ‘Improvised dwelling’ was changed to ‘Improvised home, campers out’. There was no distinction between homeless people and those who were camping (such as on holiday)
- in 1976 to 1991, collectors were instructed to seek out all people camping or sleeping and to provide a Household form. This was done by visiting ‘any places in your Collection District on Census Night where it is likely that persons may be sleeping out e.g. camping areas, park benches, derelict building etc.'
1996
For the first time there was a special targeted strategy for the homeless population. The strategy aimed to maximise the coverage of the population and to provide information to policy makers and services providers. This information included the number and characteristics of people experiencing homelessness.
1996-2006
Experimental estimates of homelessness were published for the 1996, 2001 and 2006 Censuses based on a ‘cultural’ understanding of homelessness that distinguished between primary, secondary and tertiary homelessness.
2012
The statistical definition was first developed in 2012. The first official estimates of prevalence of homelessness were published in 2012 using data from 2011 and back-cast to the 2001 Census. Estimated since have been produced on this definitional basis.
No changes have been made for 2021.
Data use considerations
The ABS statistical definition of homelessness is:
When a person does not have suitable accommodation alternatives, they are considered homeless if their current living arrangement:
- is in a dwelling that is inadequate
- has no tenure, or if their initial tenure is short and not extendable
- does not allow them to have control of, and access to, space for social relations.
The definition has been constructed from a conceptual framework centred around the following elements:
- adequacy of the dwelling
- security of tenure in the dwelling
- control of, and access to, space for social relations.
People must lack one or more of these elements to be defined as homeless. However, people who lack one or more of these elements may not necessarily be classified as homeless if they are living in special circumstances (for example, in hospitals, prisons, student halls or religious orders). While homelessness is not a choice, some people may choose to live in situations that might parallel the living situations of people who are homeless. For example, people may be living in a shed while building a home on their own property, or on holiday travelling and staying with friends. These people have choice because they have the capacity to access other accommodation that is safe, adequate and provides for social relations. Having access to accommodation alternatives is contingent on having the financial, physical, psychological and personal means to access these alternatives. For more information, see Information Paper - A Statistical Definition of Homelessness.
The homeless and marginally housed categories represent an operationalisation of this definition of homelessness within the limits of the data collected in the Census.
To calculate the total homeless population, use only the Homeless Operational categories 1 to 6.
This variable does not have a non-response rate as it is derived from responses to the Census.
Related variables and glossary terms
- Dwelling location (DLOD)
- Dwelling structure (STRD)
- Household composition (HHCD)
- Housing suitability (HOSD)
- Non-private dwelling (NPDD)
- Relationship in household (RLHP)
- Tenure type (TEND)
- Usual address indicator Census night (UAICP)
- Homelessness enumeration
- Improvised home
Useful links
- Housing
- Housing: Census
- Estimating Homelessness in the 2021 Census
- Information Paper - Methodology for Estimating Homelessness from the Census of Population and Housing
- Information Paper - A Statistical Definition of Homelessness
- Information Paper - Aboriginal and Torres Strait Islander Peoples Perspectives on Homelessness
Income and work
Mnemonic | Variable | Release | |
---|---|---|---|
CDPP | Community Development Program participation | October 2022 | |
EMPP | Number of employees | October 2022 | |
FGAF | Main type of family government benefit payment (administrative data) | April 2023 | New |
FIAASF | Total family income as available (administrative data) (weekly) | April 2023 | New |
FIDF | Family income derivation indicator | June 2022 | |
FINASF | Total family income as stated (weekly) | June 2022 | |
FINAF | Total family income (administrative data) (weekly) | April 2023 | New |
FINF | Total family income (weekly) | June 2022 | |
FSAF | Main source of family income (administrative data) | April 2023 | New |
GNGP | Public/private sector | October 2022 | |
HGAD | Main type of household government benefit payment (administrative data) | April 2023 | New |
HIAASD | Total household income as available (administrative data) (weekly) | April 2023 | New |
HIDD | Household income derivation indicator | June 2022 | |
HIED | Equivalised total household income (weekly) | June 2022 | |
HINAD | Total household income (administrative data) (weekly) | April 2023 | New |
HINASD | Total household income as stated (weekly) | June 2022 | |
HIND | Total household income (weekly) | June 2022 | |
HRSP | Hours worked | October 2022 | |
HRWRP | Hours worked (ranges) | October 2022 | |
HSAD | Main source of household income (administrative data) | April 2023 | New |
IGAP | Main type of personal government benefit payment (administrative data) | April 2023 | New |
INCAP | Total personal income (administrative data) (weekly) | April 2023 | New |
INCP | Total personal income (weekly) | June 2022 | |
INDP | Industry of employment | October 2022 | |
ISAP | Main source of personal income (administrative data) | April 2023 | New |
LFHRP | Labour force status and hours worked not stated | October 2022 | |
LFSF | Labour force status of parents/partners in families | October 2022 | |
LFSP | Labour force status | October 2022 | |
OCCP | Occupation | October 2022 | |
OCCEV1P | Occupation experimental update version 1 | October 2022 | New |
OCSKP | Occupation skill level | October 2022 | New |
OCSKEV1P | Occupation skill level experimental update version 1 | October 2022 | New |
SIEMP | Status in employment | October 2022 |
Total family income as available (administrative data) (weekly) (FIAASF)
Definition
This variable is the sum of Total personal income (administrative data) (weekly) (INCAP) of each family member aged 15 years or older who was present in the household on Census night. This includes families where one or more family members did not have income information available in administrative data or was absent from the dwelling on Census Night.
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census.
Scope
Families in family households
Categories
Code | Category |
---|---|
01 | Negative income |
02 | Nil income |
03 | $1-$149 ($1-$7,799) |
04 | $150-$299 ($7,800-$15,599) |
05 | $300-$399 ($15,600-$20,799) |
06 | $400-$499 ($20,800-$25,999) |
07 | $500-$649 ($26,000-$33,799) |
08 | $650-$799 ($33,800-$41,599) |
09 | $800-$999 ($41,600-$51,999) |
10 | $1,000-$1,249 ($52,000-$64,999) |
11 | $1,250-$1,499 ($65,000-$77,999) |
12 | $1,500-$1,749 ($78,000-$90,999) |
13 | $1,750-$1,999 ($91,000-$103,999) |
14 | $2,000-$2,499 ($104,000-$129,999) |
15 | $2,500-$2,999 ($130,000-$155,999) |
16 | $3,000-$3,499 ($156,000-$181,999) |
17 | $3,500-$3,999 ($182,000-$207,999) |
18 | $4,000-$4,499 ($208,000-$233,999) |
19 | $4,500-$4,999 ($234,000-$259,999) |
20 | $5,000-$5,999 ($260,000-$311,999) |
21 | $6,000-$7,999 ($312,000-$415,999) |
22 | $8,000-$9,999 ($416,000-$519,999) |
23 | $10,000 or more ($520,000 or more) |
99 | Admin not available |
@@ | Not applicable |
Code | Category |
---|---|
0001 | Negative income |
0002 | Nil income |
0003 | $1-$9 |
0004 - 1002 | $10-$19 to $9,990-$9,999 in ten-dollar ranges |
1003 | $10,000 or more |
9999 | Admin not available |
@@@@ | Not applicable |
Number of categories:
- Two-digit level: 25
- Four-digit level: 1005
Admin not available (99, 9999) category comprises:
- Families where no persons were able to be linked to PLIDA, and therefore the family did not have any administrative income information available
Not applicable (@@, @@@@) category comprises:
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
How this variable is created
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) data asset to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.
This variable is calculated by summing the personal incomes recorded in administrative data for all family members aged 15 years and over.
The income ranges for this variable include families where one or more members aged 15 years and over was not able to be linked to PLIDA, and therefore did not have income information available in administrative data; or was absent from the dwelling on Census Night. In the variable Total family income (administrative data) (weekly) (FINAF), these families were excluded from the family income calculation and coded to the category 'Partial incomes available'.
Families where no family member aged 15 and over was able to be linked to PLIDA, and therefore did not have administrative income information available are set to 'Admin not available'.
History and changes
This is a new variable for 2021.
Data use considerations
This variable provides an alternative, more detailed view on income to the Census income data collected via the Census form. It is based on income information recorded in linked administrative data, and not data collected from a Census question.
Comparison to Census income data
Although this variable provides an alternative, more detailed view on income to the income data collected via the Census form, there are differences to consider.
Method to calculate family income
The personal incomes used to create this variable were recorded to the nearest dollar. The Census question, on the other hand, collects personal income in ranges, then a median-based approximation is used to calculate family income.
Unlike data collected via the Census form, this variable does not rely on people correctly recalling the income that they, and other household members, usually earn.
Comparisons to other family data
This variable should be used with caution when comparing to other family data from within the ABS and for external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
Related variables and glossary terms
- Total family income as stated (weekly) (FINASF)
- Total personal income (administrative data) (weekly) (INCAP)
- Total family income (administrative data) (weekly) (FINAF)
- Main source of family income (administrative data) (FSAF)
- Main type of family government benefit payment (administrative data) (FGAF)
- Total household income as available (administrative data) (weekly) (HIAASD)
- Administrative data
- Family
- Government benefits, pensions and allowances
Useful links
Community Development Program participation (CDPP)
Definition
This variable indicates whether a person participated in the Community Development Program (CDP).
In the Census, the question on whether the person participated in the CDP is only included on the Interviewer household form. Interviewer household forms are designed specifically for use in discrete Aboriginal and Torres Strait Islander communities.
The CDP is a government initiative that aims to improve the economic and social well-being of remote communities. It assists job seekers in remote areas to gain skills, training, and capabilities to find:
- sustainable employment
- contribute to their communities through a range of flexible activities
CDP participants receive income support payments and are not considered to be in an employer/employee relationship with their provider. People who are only participating in this program are not considered to be employed unless they also have a non-CDP job. CDP participants who are not employed are classified as either unemployed or not in the labour force, depending on their job search activities.
A similar program, Community Development Employment Projects (CDEP) was present in 2011, which was then reformed into the Remote Jobs and Communities Program (RJCP). From 1 July 2015, RJCP was replaced by the CDP.
Scope
All persons aged 15 years and over who responded on an Interviewer household form
Categories
Code | Category |
---|---|
1 | Participant in the Community Development Program |
2 | Not a participant in the Community Development Program |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 5
Not stated (&) category comprises:
- Persons who did not have a job and did not state on the Interviewer household form if they participated in the Community Development Program
- Persons who did not respond to the labour force question on the Interviewer household form
Not applicable (@) category comprises:
- Persons not counted on an Interviewer household form
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
Last week, did the person have a paid job of any kind?
How this variable is created
Community Development Program (CDP) participation is derived from mark boxes to indicate the responses to this question on the Interviewer household form.
It is a multi-mark question, and the following multi-mark rules apply:
- If a respondent answered they had a CDP job as well as a non-CDP job, the non-CDP job has precedence over the CDP job and they are classified as 'Not a participant in the Community Development Program' (note that this does not relate to CDP participation rules).
- If there is not enough information to determine whether the respondent was a CDP participant or not, they are classified as 'Not stated'. For example, if 'No, did not have a job' was the only response marked.
- The derivation rules for classifying an applicable person (15 years and over who responded using Interviewer household form) are summarised in the table below.
CDPP categories | Interviewer household form responses to question |
---|---|
Participant in the Community Development Program |
‘Yes, CDP job’ only |
Not a participant in the Community Development Program |
'Yes, job not CDP' |
Not stated |
Did not provide a response at all to the question or responded as 'No, did not have a job' but did not provide an answer to subsequent questions. |
Not applicable |
Persons not counted on an Interviewer household form |
History and changes
This variable was first introduced in 2016. It replaced the following programs:
- 2015 – Remote Jobs and Communities Program (RJCP)
- 2011 – Community Development Employment Projects (CDEP)
No changes have been made for 2021.
Data use considerations
Care should be taken in the use of this variable. The Community Development Program (CDP) involves a broader range of activities than would be captured from the question on the Interviewer household form. The question asked is aimed at identifying participation in a CDP job rather than measuring all CDP participation. This is for the purpose of deriving Labour force status (LFSP).
Participation in the CDP is only captured on the Interviewer household form and not across all form types used in the Census. People counted on forms other than the Interviewer household form will not have the option to indicate if they participated in the CDP.
If comparing 2016 Community Development Program participation (CDPP) data with 2011 Community Development Employment Projects (CDEP) data, users should be aware that these are two different programs even though to some extent they cover the same applicable population. Payment arrangements for participants changed, which changed the nature of their labour force status.
- In 2011, people who participated in CDEP received wages from their community. They were considered as having an employer/employee relationship and were classified as employed in the 2011 Census.
- In 2016 and 2021, people who participated in CDP received income support payments directly from the government and were not considered to be in an employer/employee relationship with their provider. They were classified as not employed unless they had a non-CDP job.
This difference in the classification of people participating in these different programs since 2011 may contribute to changes in comparisons over time of labour force (employment and unemployment) numbers in discrete Aboriginal and Torres Strait Islander communities.
As part of the 2021-22 Budget, the Australian government announced a new remote jobs program commencing in 2023 which will replace the CDP. Pilot programs will begin by the end of 2021. Since May 2021, job seekers are able to participate in some CDP activities on a voluntary basis but will continue to have compulsory requirements like attending appointments with service providers or looking for work.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Related variables and glossary terms
- Labour force status (LFSP)
- Interviewer Household Form
Number of employees (EMPP)
Definition
This variable records the number of employees (in ranges) employed by owner managers (excluding the owner managers themselves).
Scope
Persons aged 15 years and over, who are owner managers of incorporated or unincorporated enterprises
Categories
Code | Category |
---|---|
1 | Nil employees |
2 | 1-19 employees |
3 | 20 or more employees |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 6
Not applicable (@) category comprises:
- Employees
- Contributing family workers
- Unemployed persons
- Persons not in the labour force
- Persons with Labour Force Status (LFSP) not stated
- Persons with Status in Employment (SIEMP) not stated
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
Does the person’s business employ people?
More information
How this variable is created
This variable is created based on the response to the question of whether the respondent’s business employs people. In cases where more than one response is marked, the responses are accepted in the order they appear on the form and the extra responses are deleted.
History and changes
The question relating to number of employees was first asked in the 2006 Census and has been asked in each Census since then.
For the 2016 Census a change was made to the question to indicate that the owner should exclude themselves from the count of people they employ. Also, in 2016, the number of employees question was asked for the first time on the Interviewer Household Form. This form type is primarily used in discrete Aboriginal and Torres Strait Islander communities across Australia.
No changes have been made for 2021.
Data use considerations
The number of employees employed in a business is used to help understand:
- Whether the business employs people who are not owners.
- The nature of self-employment (whether working on own account, or as an employer).
- The characteristics of small business owners.
Unlike most Census variables, the non-response rate for Number of employees (EMPP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a Status of Employment as owner/managers of incorporated and unincorporated enterprises. Persons who did not respond, and are imputed, have a Status of Employment of 'not stated' and fall into the 'not applicable' category for Number of employees. For more information, see Census Methodology.
The non-response rate for Number of employees (EMPP) was 0.4% in 2021. This is a decrease from 1.2% in 2016.
Related variables and glossary terms
- Public/private sector (GNGP)
- Industry of employment (INDP)
- Employee
- Interviewer Household Form
Family income derivation indicator (FIDF)
Definition
This variable identifies families where one or more family members were temporarily absent, did not state their income or stated a negative income. It can be used to estimate the impact on total family income caused by negative or no income or where people were absent from the household on Census Night.
Scope
Families in family households
Categories
Code | Category |
---|---|
No members aged 15 years and over temporarily absent | |
All incomes stated | |
1 | No negative incomes stated |
2 | One or more negative incomes stated |
One or more incomes not stated | |
3 | No negative incomes stated |
4 | One or more negative incomes stated |
One or more members aged 15 years and over temporarily absent | |
Incomes stated for all members present | |
5 | No negative incomes stated |
6 | One or more negative incomes stated |
One or more incomes of members present not stated | |
7 | No negative incomes stated |
8 | One or more negative incomes stated |
Not applicable | |
@ | Not applicable |
Number of categories: 9
Not applicable (@) category comprises:
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s relationship to Person1/Person 2?
More Information
What is the total of all income the person usually receives?
More information
For each person away, complete the following questions:
Example
More information
More information
More information
How this variable is created
Data for this variable is collected from the Relationship in household and Income questions on the Census form. It also uses the questions asked of people who were away from the household on Census Night.
This variable is derived from the Family composition (FMCF) and Total personal income (INCP) variables. It also uses the Count of persons/dependent children temporarily absent from family variables (CPAF and CDCAF) to isolate families with members aged 15 and over temporarily absent on Census Night.
History and changes
This variable was first introduced in 1991.
No changes have been made for 2021.
Data use considerations
This variable can be used in conjunction with Total personal income (weekly) (INCP) to create a new family income variable.
Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the section of the form for people who were away on Census Night. This can occur in both family and group households. Due to form limitations a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household, the additional people are unable to be included on the form.
Family income derivation indicator (FIDF) should be used with caution when comparing to other family data from within the ABS and for external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Main source of family income (administrative data) (FSAF)
Definition
This variable indicates the main source of income that a family received. This is based on all income recorded in administrative data for the 2020/2021 financial year of family members aged 15 years or older who were present in the household on Census Night.
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census.
Scope
Families in family households
Categories
Code | Category |
---|---|
0 | Nil or negative income |
1 | Employee wages and salary |
2 | Government benefits and allowances |
3 | Own unincorporated business income |
4 | Superannuation income |
5 | Investment income |
6 | Other income |
9 | Admin not available |
@ | Not applicable |
Number of categories: 9
Admin not available (9) category comprises:
- Families where no persons were able to be linked to PLIDA, and therefore the family did not have any administrative income information available
Not applicable (@) category comprises:
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
How this variable is created
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.
This variable is calculated based on all income recorded in administrative data for the 2020/2021 financial year of family members aged 15 years or older who were present in the household on Census night (see FIAASF). This includes families where one or more members did not have income information available in administrative data, or where one or more members were absent from the dwelling on Census Night.
The main source of income is the category with the largest total income recorded between 1 July 2020 and 30 June 2021. This variable does not record the dollar amount of income earned; it records what the main source of income is.
For example, a family may have earned substantial income from a salary and received a small amount of additional income from investments. This variable only records the main source of their income, in this case a salary.
In the case of a family receiving the same amount of income from two or more sources, the main source of income was selected by choosing the income type which was higher in the following ranked list:
- Employee wages and salary
- Government benefits and allowances
- Own unincorporated business income
- Superannuation income
- Investment income
- Other income
History and changes
This is a new variable for 2021.
Data use considerations
This variable provides an alternative, more detailed view on income than income data collected in the Census. It is based on income information recorded in linked administrative data, and not data collected from a Census question.
Superannuation income in administrative data
The administrative data used to derive this variable had limited coverage of income from superannuation, because many superannuation payments are not required to be reported annually to the Australian Taxation Office.
This means that we have under-recorded the amount of income families received from superannuation. In these cases the main source of family income would either be set to another income type (where the family also received income from another source) or income for this family would be incorrectly set to Nil.
This has resulted in a known undercount of the number of families with superannuation as their main source of family income, and an overcount of the number of families with other income types as their main source of family income.
Comparisons to other family data
This variable should be used with caution when comparing to other family data from within the ABS and for external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
Related variables and glossary terms
- Main source of personal income (administrative data) (ISAP)
- Total family income as available (administrative data) (weekly) (FIAASF)
- Main type of family government benefit payment (administrative data) (FGAF)
- Main source of household income (administrative data) (HSAD)
- Administrative data
- Government benefits, pensions and allowances
- Family
Useful links
Total family income as stated (weekly) (FINASF)
Definition
This variable records the total family income by summing the Total personal income (weekly) (INCP) of each family member aged 15 years and over present in the household on Census Night.
This includes families where one or more family member's income details were not stated or they were away from the dwelling on Census Night.
Scope
Families in family households
Categories
Annual income ranges are displayed within brackets.
Code | Category |
---|---|
01 | Negative income |
02 | Nil income |
03 | $1-$149 ($1-$7,799) |
04 | $150-$299 ($7,800-$15,599) |
05 | $300-$399 ($15,600-$20,799) |
06 | $400-$499 ($20,800-$25,999) |
07 | $500-$649 ($26,000-$33,799) |
08 | $650-$799 ($33,800-$41,599) |
09 | $800-$999 ($41,600-$51,999) |
10 | $1,000-$1,249 ($52,000-$64,999) |
11 | $1,250-$1,499 ($65,000-$77,999) |
12 | $1,500-$1,749 ($78,000-$90,999) |
13 | $1,750-$1,999 ($91,000-$103,999) |
14 | $2,000-$2,499 ($104,000-$129,999) |
15 | $2,500-$2,999 ($130,000-$155,999) |
16 | $3,000-$3,499 ($156,000-$181,999) |
17 | $3,500-$3,999 ($182,000-$207,999) |
18 | $4,000-$4,499 ($208,000-$233,999) |
19 | $4,500-$4,999 ($234,000-$259,999) |
20 | $5,000-$5,999 ($260,000-$311,999) |
21 | $6,000-$7,999 ($312,000-$415,999) |
22 | $8,000 or more ($416,000 or more) |
&& | All incomes not stated |
@@ | Not applicable |
Number of categories: 24
Not applicable (@@) category comprises:
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s relationship to Person1/Person 2?
More Information
What is the total of all income the person usually receives?
More information
For each person away, complete the following questions:
Example
More information
More information
More information
How this variable is created
Data for this variable is collected from the Relationship in household and Income questions on the Census form. Data can also be collected from the questions asked of people who were away from the household on Census Night.
Total family income as stated (weekly) (FINASF) is calculated by summing the personal incomes reported by all family members aged 15 years and over present in the household on Census Night who state their income. The Census collects personal income in ranges, so before these can be summed, a specific dollar amount needs to be allocated to each person. Median incomes for each range, derived using data from the Survey of Income and Housing are used for this purpose.
Where no family member aged 15 years and over has stated their income, the household is classified as 'All incomes not stated'.
History and changes
This variable was first introduced in 2006. For the 2016 Census, categories for family income in dollar ranges were revised.
No changes have been made to the family income categories for 2021.
Data use considerations
Usual residents may not be included in the household’s Census form because they were away from the dwelling on Census Night. In this case they should be included in the section of the form for people who were away on Census Night. This can occur in both family and group households. Due to form limitations a maximum of three people can be reported and coded as temporarily absent from the dwelling. If more than three people are absent from the household the additional people are unable to be included on the form.
Total family income as stated (weekly) (FINASF) can be used in conjunction with Total personal income (weekly) (INCP) to create a new family income variable.
Total family income as stated (weekly) (FINASF) should be used with caution when comparing to other family data from within the ABS and for external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
Increases to counts in the higher family income ranges can be partly attributed to the addition of a higher income range to the personal income question. For more details, see Total personal income (weekly) (INCP).
Total family income as stated (weekly) (FINASF) does not have a non-response rate is it created during Census processing using responses from the Relationship in household, Income and persons temporarily absent questions on the Census form.
Total family income (weekly) (FINF)
Definition
This variable records the total family income by summing the Total personal income (weekly) (INCP) of each family member aged 15 years and over present in the household on Census Night. This excludes families where one or more family members aged 15 years and over did not state their income or was absent from the dwelling on Census Night. These families are coded to the 'Partial income stated' and total family incomes are not calculated.
Scope
Families in family households
Categories
Annual income ranges are displayed within brackets.
Code | Category |
---|---|
01 | Negative income |
02 | Nil income |
03 | $1-$149 ($1-$7,799) |
04 | $150-$299 ($7,800-$15,599) |
05 | $300-$399 ($15,600-$20,799) |
06 | $400-$499 ($20,800-$25,999) |
07 | $500-$649 ($26,000-$33,799) |
08 | $650-$799 ($33,800-$41,599) |
09 | $800-$999 ($41,600-$51,999) |
10 | $1,000-$1,249 ($52,000-$64,999) |
11 | $1,250-$1,499 ($65,000-$77,999) |
12 | $1,500-$1,749 ($78,000-$90,999) |
13 | $1,750-$1,999 ($91,000-$103,999) |
14 | $2,000-$2,499 ($104,000-$129,999) |
15 | $2,500-$2,999 ($130,000-$155,999) |
16 | $3,000-$3,499 ($156,000-$181,999) |
17 | $3,500-$3,999 ($182,000-$207,999) |
18 | $4,000-$4,499 ($208,000-$233,999) |
19 | $4,500-$4,999 ($234,000-$259,999) |
20 | $5,000-$5,999 ($260,000-$311,999) |
21 | $6,000-$7,999 ($312,000-$415,999) |
22 | $8,000 or more ($416,000 or more) |
23 | Partial income stated |
&& | All incomes not stated |
@@ | Not applicable |
Number of categories: 25
Not applicable (@@) category comprises:
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
What is the person’s relationship to Person1/Person 2?
More information
What is the total of all income the person usually receives?
More information
For each person away, complete the following questions:
Example
More information
More information
More information
How this variable is created
Data for this variable is collected from the Relationship in household and Income questions on the Census form. Data can also be collected from the questions asked of people who were away from the household on Census Night.
Total family income (weekly) is calculated by summing the personal incomes reported by all family members aged 15 years and over. As personal income is collected in ranges, median values are assigned to each range using data from the Survey of Income and Housing.
Families where all or at least one family member aged 15 and over did not state an income are set to either:
- 'All incomes not stated'
- 'Partial income stated'
Families where at least one member aged 15 and over was absent from the dwelling on Census Night are also set to 'Partial incomes stated'.
History and changes
This variable was first introduced in 1976 as Family income (annual) (FINP). The name and mnemonics used, and methods used to calculate family income have changed several times over the years. For the 2016 Census, categories for family income in dollar ranges were revised.
No changes have been made to the family income categories for 2021.
Data use considerations
If there is a need to recalculate this variable under different circumstances users can use the derived variable Family income derivation indicator (FIDF) in conjunction with Total personal income (weekly) (INCP) to create a new family income variable.
Total family income (weekly) should be used carefully when comparing to other family data from within the ABS and for external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
Increases to counts in the higher family income ranges can be partly attributed to the addition of a higher income range to the personal income question. For more details, see Total personal income (weekly) (INCP).
Total family income (weekly) (FINF) does not have a non-response rate as it is created during Census processing using responses from the Relationship in household, Income and persons temporarily absent questions on the Census form.
Related variables and glossary terms
- Family income derivation indicator (FIDF)
- Total family income as stated (weekly) (FINASF)
- Total personal income (weekly) (INCP)
- Median income
Public/private sector (GNGP)
Definition
This variable classifies employed people according to whether they are employed in the government (public) or non-government (private) sector. The public sector is further broken down into National, State and Territory or Local Government.
Scope
Employed persons 15 years of age and over
Categories
Code | Category |
---|---|
1 | National Government |
2 | State/Territory Government |
3 | Local Government |
4 | Private Sector |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 7
Not applicable (@) category comprises:
- Unemployed persons, looking for either full-time or part-time work
- Persons not in the labour force
- Persons with Labour Force Status (LFSP), not stated
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
For the main job held last week, what was the employer’s business name?
What best describes the industry or business of the employer at the location where the person works?
Example
Example
What are the main goods produced or main services provided by the employer’s business?
More information
For the main job held last week, what was the person’s workplace address?
More information
How this variable is created
Data for this variable is captured automatically from written responses to Labour Force questions on the Census form. The employer's business name and the workplace address of the employed person is used to classify employed persons into the public or private sector. If the person's employment cannot be determined as public sector, responses are coded to private sector as the default code. If the person's employment in the public sector cannot be further broken down into National, State and Territory or Local Government, responses are imputed on a proportional basis to National, State and Territory or Local Government.
History and changes
Questions on what industry people are employed in has been asked in all Censuses since 1911. A separate variable to classify the sector as public or private was first provided for the 1971 Census.
Over time, the name of this variable has changed, but the meaning and the purpose of the question has remained the same:
- 1971: Industry Sector (GOVT)
- 1976-2006: Industry Sector (GNGP) - noting that in 1996-2001 a category for Community Development Employment Program was included
- 2011-2021: Public/Private Employer Indicator (GNGP)
No changes have been made for 2021.
Data use considerations
There are no data use considerations for this variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Total household income as available (administrative data) (weekly) (HIAASD)
Definition
This variable is the sum of Total personal income (administrative data) (weekly) (INCAP) of each resident aged 15 years or older who was present in the household on Census Night. This includes households where one or more residents did not have income information available in administrative data or was absent from the dwelling on Census Night.
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
01 | Negative income |
02 | Nil income |
03 | $1-$149 ($1-$7,799) |
04 | $150-$299 ($7,800-$15,599) |
05 | $300-$399 ($15,600-$20,799) |
06 | $400-$499 ($20,800-$25,999) |
07 | $500-$649 ($26,000-$33,799) |
08 | $650-$799 ($33,800-$41,599) |
09 | $800-$999 ($41,600-$51,999) |
10 | $1,000-$1,249 ($52,000-$64,999) |
11 | $1,250-$1,499 ($65,000-$77,999) |
12 | $1,500-$1,749 ($78,000-$90,999) |
13 | $1,750-$1,999 ($91,000-$103,999) |
14 | $2,000-$2,499 ($104,000-$129,999) |
15 | $2,500-$2,999 ($130,000-$155,999) |
16 | $3,000-$3,499 ($156,000-$181,999) |
17 | $3,500-$3,999 ($182,000-$207,999) |
18 | $4,000-$4,499 ($208,000-$233,999) |
19 | $4,500-$4,999 ($234,000-$259,999) |
20 | $5,000-$5,999 ($260,000-$311,999) |
21 | $6,000-$7,999 ($312,000-$415,999) |
22 | $8,000-$9,999 ($416,000-$519,999) |
23 | $10,000 or more ($520,000 or more) |
99 | Admin not available |
@@ | Not applicable |
Code | Category |
---|---|
0001 | Negative income |
0002 | Nil income |
0003 | $1-$9 |
0004 - 1002 | $10-$19 to $9,990-$9,999 in ten-dollar ranges |
1003 | $10,000 or more |
9999 | Admin not available |
@@@@ | Not applicable |
Number of categories:
- Two-digit level: 25
- Four-digit level: 1005
Admin not available (99, 9999) category comprises:
- Households where no persons were able to be linked to PLIDA, and therefore the household did not have any administrative income information available
Not applicable (@@, @@@@) category comprises:
- Non-private dwellings
- Unoccupied private dwellings
- Migratory, off-shore and shipping SA1s
- Other non-classifiable households
How this variable is created
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.
This variable is calculated by summing the personal incomes recorded in administrative data of all household members aged 15 years and over.
The income ranges for this variable include households where one or more members aged 15 years and over was not able to be linked to PLIDA, and therefore did not have income information available in administrative data; or were temporarily absent. In the variable Total household income (administrative data) (weekly) (HINAD), these households were excluded from the household income calculation and coded to the category 'Partial incomes available'.
Where no member of a household aged 15 years and over had administrative income information available, the household is classified as 'Admin not available'.
In most cases, the income of visitors to a household is excluded from Total household income as stated. The exception to this is households that comprise only visitors.
History and changes
This is a new variable for 2021.
Data use considerations
This variable provides an alternative, more detailed view on income to the Census income data collected via the Census form. It is based on income information recorded in linked administrative data, and not data collected from a Census question.
Comparison to Census income data
Although this variable provides an alternative, more detailed view on income to the income data collected via the Census form, there are differences to consider.
Method to calculate household income
The personal incomes used to create this variable were recorded to the nearest dollar. The Census question, on the other hand, collects personal income in ranges, then a median-based approximation is used to calculate household income.
Unlike data collected via the Census form, this variable does not rely on people correctly recalling the income that they, and other household members, usually earn.
Comparison to other ABS Surveys
Although other ABS surveys, such as the Survey of Income and Housing and Personal Income in Australia, collect similar data relating to household income, they are not directly comparable. This is due to differences in scope, collection methodology, collection period, and conceptual differences. It is likely that data from each of these collections will deliver different outcomes making it important for data users to understand the key conceptual differences between each collection to use it most appropriately.
Related variables and glossary terms
- Total household income (weekly) (HIND)
- Total personal income (administrative data) (weekly) (INCAP)
- Total household income (administrative data) (weekly) (HINAD)
- Main source of household income (administrative data) (HSAD)
- Main type of household government benefit payment (administrative data) (HGAD)
- Total family income as available (administrative data) (weekly) (FIAASF)
- Administrative data
- Government benefits, pensions and allowances
- Household
Useful links
Household income derivation indicator (HIDD)
Definition
This variable identifies households where people were absent from the dwelling on Census Night, did not state their income, or stated a negative income.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
No members aged 15 years and over temporarily absent | |
All incomes stated | |
1 | No negative incomes stated |
2 | One or more negative incomes stated |
One or more incomes not stated | |
3 | No negative incomes stated |
4 | One or more negative incomes stated |
One or more members aged 15 years and over temporarily absent | |
Incomes stated for all members present | |
5 | No negative incomes stated |
6 | One or more negative incomes stated |
One or more incomes of members present not stated | |
7 | No negative incomes stated |
8 | One or more negative incomes stated |
Not applicable | |
@ | Not applicable |
Number of categories: 9
Not applicable (@) category comprises:
- Non-private dwellings
- Unoccupied private dwellings
- Migratory, off-shore and shipping SA1s
- Other non-classifiable households
Question(s) from the Census form
What is the total of all income the person usually receives?
How this variable is created
This variable is derived from the following variables:
To identify households with members aged 15 years and over temporarily absent on Census Night the following variables are used:
History and changes
This variable was first introduced in the 1991 Census.
No changes have been made for 2021.
Data use considerations
This variable allows household income to be derived from individual incomes based on certain conditions as listed in the categories.
Household income derivation indicator can also be used:
- to remove these households from the population of a table, or to estimate the impact on total household income caused by negative income or people away from the dwelling on Census Night
- in conjunction with Total personal income (weekly) (INCP) to create a new household income variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Equivalised total household income (weekly) (HIED)
Definition
Equivalised total household income is household income adjusted by the application of an equivalence scale to facilitate comparison of income levels between households of differing size and composition. This variable reflects that a larger household would normally need more income than a smaller household to achieve the same standard of living. The 'modified OECD' equivalence scale is used.
Equivalised total household income can be viewed as an indicator of the economic resources available to a standardised household. For a lone person household, it is equal to household income. For a household comprising more than one person, it is an indicator of the household income that would be needed by a lone person household to enjoy the same level of economic wellbeing.
Scope
Family, lone person and group households
Categories
Annual income ranges are displayed within brackets.
Code | Category |
---|---|
01 | Nil income |
02 | $1-$149 ($1-$7,799) |
03 | $150-$299 ($7,800-$15,599) |
04 | $300-$399 ($15,600-$20,799) |
05 | $400-$499 ($20,800-$25,999) |
06 | $500-$649 ($26,000-$33,799) |
07 | $650-$799 ($33,800-$41,599) |
08 | $800-$999 ($41,600-$51,999) |
09 | $1,000-$1,249 ($52,000-$64,999) |
10 | $1,250-$1,499 ($65,000-$77,999) |
11 | $1,500-$1,749 ($78,000-$90,999) |
12 | $1,750-$1,999 ($91,000-$103,999) |
13 | $2,000-$2,499 ($104,000-$129,999) |
14 | $2,500-$2,999 ($130,000-$155,999) |
15 | $3,000-$3,499 ($156,000-$181,999) |
16 | $3,500 or more ($182,000 or more) |
17 | Partial income stated |
&& | All incomes not stated |
@@ | Not applicable |
Number of categories: 19
Not applicable (@@) category comprises:
- Non-private dwellings
- Unoccupied private dwellings
- Migratory, off-shore and shipping SA1s
- Other non-classifiable households
- Visitor only households
Question(s) from the Census form
What is the total of all income the person usually receives?
How this variable is created
This variable is created by summing the personal incomes reported by all household members aged 15 years and over and applying a weighting according to the 'modified OECD' equivalence scale.
The equivalence factor is built by summing all equivalence points allocated to each person in a household:
- 1 point to the first adult
- 0.5 points to each additional person who is 15 years and over
- 0.3 points to each child under the age of 15
As personal income is collected in ranges, median values are assigned to each range using data from the Survey of Income and Housing. For more information about this survey see the Survey of Income and Housing, User Guide.
Households where all or at least one member aged 15 and over did not state an income are set to either:
- 'All incomes not stated'
- 'Partial income stated'
Households where at least one member aged 15 and over was away from the dwelling on Census Night are also set to 'Partial incomes stated'.
Where children under 15 years were absent from the household on Census Night, they were included in the calculation. Visitors and people in 'Not applicable' categories are excluded from the calculation. HIED is not calculated for households that comprise only visitors.
History and changes
This variable was first used in 2006, though other measures of household income had been used in previous censuses. For 2016 the categories for annual income dollar ranges were revised.
For 2021, additional higher end income ranges were added, to reflect changes that were made to the personal income variable. The '$3,000 or more ($156,000)' range has been split into two categories:
- '$3,000-$3,499 ($156,000-$181,999)'
- '$3,500 or more ($182,000 or more)'
Data use considerations
Equivalised total household income can be viewed as an indicator of the economic resources available to a standardised household. For a lone person household it is equal to household income. For a household comprising more than one person, it is an indicator of the household income that would be needed by a lone person household to enjoy the same level of economic wellbeing.
Alternatively, equivalised total household income can be viewed as an indicator of the economic resources available to everyone in a household. Mean equivalised household income is therefore calculated by adding the equivalised total household income of all households, and then dividing by the number of people. This enables people in large households to have the same contribution to the mean as people living alone.
Equivalised total household income is set to zero when total household income is negative, such as when losses incurred in a household's unincorporated business or other investments are greater than any positive income from any other sources.
Total family income is not equivalised. All people in a household benefit from the economies of scale for housing and other shared costs, regardless of whether they are in the same family or not. Therefore the most appropriate indicator of the standard of living of a family is still the equivalised income of the household in which they live.
A more detailed explanation is provided in Survey of Income and Housing, User Guide, Australia.
Increases to counts in the higher household equivalised income ranges can be partly attributed to the addition of a higher income range to the Personal income question. For more details, see Total personal income (weekly) (INCP).
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form.
Useful links
Total household income as stated (weekly) (HINASD)
Definition
This variable provides the total weekly income of a private household based on the reported personal incomes of all members that are aged 15 years or older.
Scope
Occupied private dwellings
Categories
Annual income ranges are displayed within brackets.
Code | Category |
---|---|
01 | Negative income |
02 | Nil income |
03 | $1-$149 ($1-$7,799) |
04 | $150-$299 ($7,800-$15,599) |
05 | $300-$399 ($15,600-$20,799) |
06 | $400-$499 ($20,800-$25,999) |
07 | $500-$649 ($26,000-$33,799) |
08 | $650-$799 ($33,800-$41,599) |
09 | $800-$999 ($41,600-$51,999) |
10 | $1,000-$1,249 ($52,000-$64,999) |
11 | $1,250-$1,499 ($65,000-$77,999) |
12 | $1,500-$1,749 ($78,000-$90,999) |
13 | $1,750-$1,999 ($91,000-$103,999) |
14 | $2,000-$2,499 ($104,000-$129,999) |
15 | $2,500-$2,999 ($130,000-$155,999) |
16 | $3,000-$3,499 ($156,000-$181,999) |
17 | $3,500-$3,999 ($182,000-$207,999) |
18 | $4,000-$4,499 ($208,000-$233,999) |
19 | $4,500-$4,999 ($234,000-$259,999) |
20 | $5,000-$5,999 ($260,000-$311,999) |
21 | $6,000-$7,999 ($312,000-$415,999) |
22 | $8,000 or more ($416,000 or more) |
&& | All incomes not stated |
@@ | Not applicable |
Number of categories: 24
Not applicable (@@) category comprises:
- Non-private dwellings
- Unoccupied private dwellings
- Migratory, off-shore and shipping SA1s
- Other non-classifiable households
Question(s) from the Census form
What is the total of all income the person usually receives?
How this variable is created
Total household income as stated (weekly) is the sum of Total personal income (weekly) (INCP) of each resident aged 15 years and over present in the household on Census Night. As personal income is collected in ranges, median values are assigned to each range using data from the Survey of Income and Housing. For more information about this survey see the Survey of Income and Housing, User Guide.
The income ranges for Total household income as stated (weekly) include households where one or more household members aged 15 years and over did not state their income, or were temporarily absent. In the variable Total household income (weekly) (HIND), these households would be excluded from the household income calculation and be coded to the category 'Partial income stated'.
Where no member of a household aged 15 years and over has stated their income, the household is classified as 'All incomes not stated'.
In most cases, the income of visitors to a household is excluded from Total household income as stated. The exception to this is households that comprise only visitors.
History and changes
This variable was first used in 2006, though other measures of household income had been used in previous censuses. For 2016 the categories for annual income dollar ranges were revised.
No changes have been made to the household income categories for 2021.
Data use considerations
Total household income as stated is calculated for visitor only households in order to collect data on household income in tourist areas.
Increases to counts in the higher household income ranges can be partly attributed to the addition of a higher income range to the Personal income question. For more details, see Total personal income (weekly) (INCP).
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form.
Useful links
Total household income (weekly) (HIND)
Definition
This variable is the sum of Total personal income (weekly) (INCP) of each resident aged 15 years or older who was present in the household on Census Night.
Scope
Occupied private dwellings
Categories
Annual income ranges are displayed within brackets.
Code | Category |
---|---|
01 | Negative income |
02 | Nil income |
03 | $1-$149 ($1-$7,799) |
04 | $150-$299 ($7,800-$15,599) |
05 | $300-$399 ($15,600-$20,799) |
06 | $400-$499 ($20,800-$25,999) |
07 | $500-$649 ($26,000-$33,799) |
08 | $650-$799 ($33,800-$41,599) |
09 | $800-$999 ($41,600-$51,999) |
10 | $1,000-$1,249 ($52,000-$64,999) |
11 | $1,250-$1,499 ($65,000-$77,999) |
12 | $1,500-$1,749 ($78,000-$90,999) |
13 | $1,750-$1,999 ($91,000-$103,999) |
14 | $2,000-$2,499 ($104,000-$129,999) |
15 | $2,500-$2,999 ($130,000-$155,999) |
16 | $3,000-$3,499 ($156,000-$181,999) |
17 | $3,500-$3,999 ($182,000-$207,999) |
18 | $4,000-$4,499 ($208,000-$233,999) |
19 | $4,500-$4,999 ($234,000-$259,999) |
20 | $5,000-$5,999 ($260,000-$311,999) |
21 | $6,000-$7,999 ($312,000-$415,999) |
22 | $8,000 or more ($416,000 or more) |
23 | Partial income stated |
&& | All incomes not stated |
@@ | Not applicable |
Number of categories: 25
Not applicable (@@) category comprises:
- Non-private dwellings
- Unoccupied private dwellings
- Migratory, off-shore and shipping SA1s
- Other non-classifiable households
What is the total of all income the person usually receives?
More information
How this variable is created
This variable is calculated by summing the personal incomes reported by all household members aged 15 years and over. The Census collects personal income in ranges, so before these can be summed, a specific dollar amount needs to be allocated to each person. Median incomes for each range, derived using data from the Survey of Income and Housing, are used for this purpose. For more information about this survey see the Survey of Income and Housing, User Guide.
Households where all or at least one member aged 15 and over did not state an income are set to:
- 'All incomes not stated' and
- 'Partial income stated' respectively.
Households where at least one member aged 15 and over was away from the dwelling on Census Night are also set to 'Partial incomes stated'.
In most cases, the income of visitors to a household are excluded from Total household income as stated. The exception to this is households that comprise only visitors.
History and changes
A variable relating to household income was first used in the 1976 Census.
No changes have been made to the household income categories for 2021.
Data use considerations
If there is a need to recalculate this variable under different circumstances, the derived variable Household income derivation indicator (HIDD) can be used in conjunction with Total personal income (weekly) (INCP) to create a new household income variable.
Total household income is calculated for visitor only households to collect data on household income in tourist areas.
Increases to counts in the higher household income ranges can be partly attributed to the addition of a higher income range to the Personal income question. For more details, see Total personal income (weekly) (INCP).
This variable does not have a non-response rate as it is created during Census processing by using responses from one or more questions on the Census form.
Related variables and glossary terms
- Household income derivation indicator (HIDD)
- Total household income as stated (weekly) (HINASD)
- Total personal income (weekly) (INCP)
- Median income
- Undercount and/or underenumeration
Useful links
Hours worked (HRSP)
Definition
This variable indicates the number of hours worked by the employed person in all jobs during the week prior to Census night. This excludes any time off but includes overtime and extra time worked.
In standard Census products the data is generally published in ranges using Hours worked (ranges) (HRWRP).
Scope
Employed persons aged 15 years and over
Categories
Code | Category |
---|---|
00-99 | 0 to 99 hours singly |
&& | Not stated |
@@ | Not applicable |
VV | Overseas visitor |
Number of categories: 103
Not applicable (@@) category comprises:
- Unemployed persons
- Persons not in the labour force
- Persons with Labour force status (LFSP), not stated
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
Last week, how many hours did the person work in all jobs?
More information
How this variable is created
Data for this variable is captured automatically from written numeric responses or the 'None' mark box on the paper form. Outlying values are checked manually to ensure that they match the actual response on the form. The data may include a small proportion of persons with an unusual number of hours worked, as all numeric responses are accepted as reported.
History and changes
The question relating to Hours worked was first asked in the 1966 Census. In 1971, 1976 and since 1996, the Hours worked question has focused on hours worked in all jobs held in the week prior to the Census.
No changes have been made for 2021.
Data use considerations
Information on hours worked, classified by industry and occupation, allows changes in the labour force to be analysed. It also enhances the use of Journey to Work data for transport studies.
Hours worked, when used in combination with Labour force status (LFSP), provides information on full-time and part-time employment. For Census purposes, a person is considered to be working full-time if they worked 35 hours or more in all jobs during the week prior to Census night.
A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people being temporarily stood down. Even if lockdowns impacted a person's normal working hours, respondents were asked to answer this question accurately per their current situation.
Unlike most Census variables, the non-response rate for Hours worked (HRSP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond to the labour force status questions have a labour force status of not stated and fall in the 'not applicable' category within the Hours Worked variable.
The non-response rate for Hours worked (HRSP) was 1.7% in 2021. This is a decrease from 1.9% in 2016.
Hours worked (ranges) (HRWRP)
Definition
This variable indicates the number of hours worked in ranges by the employed person in all jobs during the week prior to Census night. This excludes any time off but includes overtime and extra time worked.
In standard Census products the data is generally published in ranges. Hours worked are also produced in single hours in Hours worked (HRSP).
Scope
Employed persons aged 15 years and over
Categories
Code | Category |
---|---|
00 | 0 hours |
01 | 1-9 hours |
02 | 10-19 hours |
03 | 20-29 hours |
04 | 30-34 hours |
05 | 35-39 hours |
06 | 40-44 hours |
07 | 45-49 hours |
08 | 50-59 hours |
09 | 60-69 hours |
10 | 70 hours or more |
&& | Not stated |
@@ | Not applicable |
VV | Overseas visitor |
Number of categories: 14
Not applicable (@@) category comprises:
- Unemployed persons
- Persons not in the labour force
- Persons with Labour force status (LFSP), not stated
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
Last week, how many hours did the person work in all jobs?
How this variable is created
Data for this variable is captured automatically from written numeric responses, or the 'None' mark box on the paper form. Outlying values are checked manually to ensure that they match the actual response on the form. The data may include a small proportion of persons with an unusual number of hours worked, as all numeric responses are accepted as reported.
History and changes
The question relating to Hours worked was first asked in the 1966 Census. In 1971, 1976 and since 1996, the hours worked question has focused on hours worked in all jobs held in the week prior to the Census.
The Hours worked (ranges) variable was first introduced for the 2011 Census. Since 2016, the 'None' mark box from the question was removed from the online version of the Census form.
For 2021, the output categories (ranges) for this variable have been updated to align with the Standards for labour force statistics, 2018. There are now more categories available.
Data use considerations
Information on hours worked, classified by industry and occupation, allows changes in the labour force to be analysed. It also enhances the use of Journey to Work data for transport studies.
Hours worked, when used in combination with Labour force status (LFSP), provides information on full-time and part-time employment. For Census purposes, a person is considered to be working full-time if they worked 35 hours or more in all jobs during the week prior to Census night.
This variable is derived from the Hours worked (HRSP) variable. Unlike most Census variables, the non-response rate for Hours Worked (HRSP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status (LFSP) of 'employed'. Persons who do not respond to the labour force status questions have a labour force status of not stated and fall in the 'not applicable' category within the Hours Worked variable.
The non-response rate for Hours worked (HRSP) was 1.7% in 2021. This is a decrease from 1.9% in 2016.
Total personal income (weekly) (INCP)
Definition
This variable indicates the total income (in ranges) that a person usually receives each week. Equivalent annual income amounts appear in brackets.
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
01 | Negative income |
02 | Nil income |
03 | $1-$149 ($1-$7,799) |
04 | $150-$299 ($7,800-$15,599) |
05 | $300-$399 ($15,600-$20,799) |
06 | $400-$499 ($20,800-$25,999) |
07 | $500-$649 ($26,000-$33,799) |
08 | $650-$799 ($33,800-$41,599) |
09 | $800-$999 ($41,600-$51,999) |
10 | $1,000-$1,249 ($52,000-$64,999) |
11 | $1,250-$1,499 ($65,000-$77,999) |
12 | $1,500-$1,749 ($78,000-$90,999) |
13 | $1,750-$1,999 ($91,000-$103,999) |
14 | $2,000-$2,999 ($104,000-$155,999) |
15 | $3,000-$3,499 ($156,000-$181,999) |
16 | $3,500 or more ($182,000 or more) |
&& | Not stated |
@@ | Not applicable |
VV | Overseas visitor |
Number of categories: 19
Not applicable (@@) category comprises:
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the total of all income the person usually receives?
More information
How this variable is created
This variable is captured automatically from mark box responses on the Census form. Respondents are asked to only mark one response. Where a respondent provides more than one response, the responses are accepted in the order they appear on the form and the extra responses are rejected.
History and changes
Questions on income were first included in the Census in 1933 and have been asked in each Census since 1976. In 2006, this variable was referred to as 'Individual Income (weekly)'.
Income ranges were updated in 2016.
For 2021, an additional income range has been added to reflect changes to the personal income question options. '15 $3,000 or more ($156,000)' has been split into two categories:
- '15 $3,000-$3,499 ($156,000-$181,999)'
- '16 $3,500 or more ($182,000 or more)'
This change accounts for higher income ranges.
Data use considerations
Comparison to other ABS surveys
Even though the Census and other ABS surveys, such as the Survey of Income and Housing and Personal Income in Australia, 2011-2012 to 2017-2018, collect similar data relating to personal income, they are not directly comparable. This is due to differences in scope, collection methodology, the time period the collection relates to, and conceptual differences. It is likely that data from each of these collections will deliver different outcomes making it important for data users to understand the key conceptual differences between each collection in order to most appropriately use it.
Negative income
Negative income in the Census includes people who own their own business and report negative income due to losses or negative gearing of rentals.
Lockdown
A number of regions across the country were in various stages of lockdown on Census Night, and the week preceding it, resulting in a greater number of people being temporarily stood down, which impacted their income. To gain a better understanding of the true income levels of Australians, guidance for people in lockdown on how to correctly respond was provided at the time on the Census website, as follows:
'Please reflect your usual income, as it was before the commencement of the current COVID-19 lockdown period.'
The non-response rate for Total personal income (weekly) (INCP) was 7.2% in 2021. This is a decrease from 9.0% in 2016.
Related variables and glossary terms
- Total family income as stated (weekly) (FINASF)
- Total family income (weekly) (FINF)
- Total household income as stated (weekly) (HINASD)
- Total household income (weekly) (HIND)
- Equivalised total household income (weekly) (HIED)
- Government benefits, pensions and allowances
- Median income
- Negative income
Main source of household income (administrative data) (HSAD)
Definition
This variable indicates the main source of income that a household received. This is based on all income recorded in administrative data for the 2020/2021 financial year of residents aged 15 years or older who were present in the household on Census Night.
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
0 | Nil or negative income |
1 | Employee wages and salary |
2 | Government benefits and allowances |
3 | Own unincorporated business income |
4 | Superannuation income |
5 | Investment income |
6 | Other income |
9 | Admin not available |
@ | Not applicable |
Number of categories: 9
Admin not available (9) category comprises:
- Households where no persons were able to be linked to PLIDA, and therefore the household did not have any administrative income information available
Not applicable (@) category comprises:
- Non-private dwellings
- Unoccupied private dwellings
- Migratory, off-shore and shipping SA1s
- Other non-classifiable households
How this variable is created
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) data asset to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.
This variable is calculated based on all income recorded in administrative data for the 2020/2021 financial year of residents aged 15 years or older who were present in the household on Census Night (see HIAASD). This includes households where one or more residents did not have income information available in administrative data or where one or more residents was absent from the dwelling on Census Night.
The main source of income is the category with the largest total income recorded. This variable does not record the dollar amount of income earned; it records what the main source of income is.
For example, a household may have earned substantial income from a salary and received a small amount of additional income from investments. This variable only records the main source of their income, in this case a salary.
In the case of a household receiving the same amount of income from two or more sources, the main source of income was selected by choosing the income type which was higher in the following ranked list:
- Employee wages and salary
- Government benefits and allowances
- Own unincorporated business income
- Superannuation income
- Investment income
- Other income
History and changes
This is a new variable for 2021.
Data use considerations
This variable provides an alternative, more detailed view on income than income data collected in the Census. It is based on income information recorded in linked administrative data, and not data collected from a Census question.
Superannuation income in administrative data
The administrative data used to derive this variable had limited coverage of income from superannuation, because many superannuation payments are not required to be reported annually to the Australian Taxation Office.
This means that we have under-recorded the amount of income households received from superannuation. In these cases the main source of household income would either be set to another income type (where the household also received income from another source) or income for this household would be incorrectly set to Nil.
This has resulted in a known undercount of the number of households with superannuation as their main source of household income, and an overcount of the number of households with other income types as their main source of household income.
Comparison to other ABS Surveys
Although other ABS surveys, such as the Survey of Income and Housing and Personal Income in Australia, collect similar data relating to household income, they are not directly comparable. This is due to differences in scope, collection methodology, collection period, and conceptual differences. It is likely that data from each of these collections will deliver different outcomes making it important for data users to understand the key conceptual differences between each collection to use it most appropriately.
Related variables and glossary terms
- Main source of personal income (administrative data) (ISAP)
- Total household income as available (administrative data) (weekly) (HIAASD)
- Main type of household government benefit payment (administrative data) (HGAD)
- Main source of family income (administrative data) (FSAF)
- Administrative data
- Government benefits, pensions and allowances
Useful links
Industry of employment (INDP)
Definition
This variable describes the industry of the main job held by the employed person in the week prior to Census night.
Scope
Employed people aged 15 years and over
Categories
Industry of employment is coded to the Australian and New Zealand Standards Industrial Classification (ANZSIC), 2006 (Revision 2.0). The categories are listed in groups below. The full list is available from the Data downloads section on this page.
A - Agriculture, Forestry and Fishing
A - Agriculture, Forestry and Fishing | |||
A0 - Agriculture, Forestry and Fishing, nfd | |||
A00 - Agriculture, Forestry and Fishing, nfd | |||
A000 - Agriculture, Forestry and Fishing, nfd | |||
01 - Agriculture | |||
010 - Agriculture, nfd | |||
0100 - Agriculture, nfd | |||
011 - Nursery and Floriculture Production | |||
0110 - Nursery and Floriculture Production, nfd | |||
0111 - Nursery Production (Under Cover) | |||
0112 - Nursery Production (Outdoors) | |||
0113 - Turf Growing | |||
0114 - Floriculture Production (Under Cover) | |||
0115 - Floriculture Production (Outdoors) | |||
012 - Mushroom and Vegetable Growing | |||
0120 - Mushroom and Vegetable Growing, nfd | |||
0121 - Mushroom Growing | |||
0122 - Vegetable Growing (Under Cover) | |||
0123 - Vegetable Growing (Outdoors) | |||
013 - Fruit and Tree Nut Growing | |||
0130 - Fruit and Tree Nut Growing, nfd | |||
0131 - Grape Growing | |||
0132 - Kiwifruit Growing | |||
0133 - Berry Fruit Growing | |||
0134 - Apple and Pear Growing | |||
0135 - Stone Fruit Growing | |||
0136 - Citrus Fruit Growing | |||
0137 - Olive Growing | |||
0139 - Other Fruit and Tree Nut Growing | |||
014 - Sheep, Beef Cattle and Grain Farming | |||
0140 - Sheep, Beef Cattle and Grain Farming, nfd | |||
0141 - Sheep Farming (Specialised) | |||
0142 - Beef Cattle Farming (Specialised) | |||
0143 - Beef Cattle Feedlots (Specialised) | |||
0144 - Sheep-Beef Cattle Farming | |||
0145 - Grain-Sheep or Grain-Beef Cattle Farming | |||
0146 - Rice Growing | |||
0149 - Other Grain Growing | |||
015 - Other Crop Growing | |||
0150 - Other Crop Growing, nfd | |||
0151 - Sugar Cane Growing | |||
0152 - Cotton Growing | |||
0159 - Other Crop Growing nec | |||
016 - Dairy Cattle Farming | |||
0160 - Dairy Cattle Farming | |||
017 - Poultry Farming | |||
0170 - Poultry Farming, nfd | |||
0171 - Poultry Farming (Meat) | |||
0172 - Poultry Farming (Eggs) | |||
018 - Deer Farming | |||
0180 - Deer Farming | |||
019 - Other Livestock Farming | |||
0190 - Other Livestock Farming, nfd | |||
0191 - Horse Farming | |||
0192 - Pig Farming | |||
0193 - Beekeeping | |||
0199 - Other Livestock Farming nec | |||
02 - Aquaculture | |||
020 - Aquaculture | |||
0200 - Aquaculture, nfd | |||
0201 - Offshore Longline and Rack Aquaculture | |||
0202 - Offshore Caged Aquaculture | |||
0203 - Onshore Aquaculture | |||
03 - Forestry and Logging | |||
030 - Forestry and Logging | |||
0300 - Forestry and Logging, nfd | |||
0301 - Forestry | |||
0302 - Logging | |||
04 - Fishing, Hunting and Trapping | |||
040 - Fishing, Hunting and Trapping, nfd | |||
0400 - Fishing, Hunting and Trapping, nfd | |||
041 - Fishing | |||
0410 - Fishing, nfd | |||
0411 - Rock Lobster and Crab Potting | |||
0412 - Prawn Fishing | |||
0413 - Line Fishing | |||
0414 - Fish Trawling, Seining and Netting | |||
0419 - Other Fishing | |||
042 - Hunting and Trapping | |||
0420 - Hunting and Trapping | |||
05 - Agriculture, Forestry and Fishing Support Services | |||
050 - Agriculture, Forestry and Fishing Support Services, nfd | |||
0500 - Agriculture, Forestry and Fishing Support Services, nfd | |||
051 - Forestry Support Services | |||
0510 - Forestry Support Services | |||
052 - Agriculture and Fishing Support Services | |||
0520 - Agriculture and Fishing Support Services, nfd | |||
0521 - Cotton Ginning | |||
0522 - Shearing Services | |||
0529 - Other Agriculture and Fishing Support Services |
B - Mining
B - Mining | |||
B0 - Mining, nfd | |||
B00 - Mining, nfd | |||
B000 - Mining, nfd | |||
06 - Coal Mining | |||
060 - Coal Mining | |||
0600 - Coal Mining | |||
07 - Oil and Gas Extraction | |||
070 - Oil and Gas Extraction | |||
0700 - Oil and Gas Extraction | |||
08 - Metal Ore Mining | |||
080 - Metal Ore Mining | |||
0800 - Metal Ore Mining, nfd | |||
0801 - Iron Ore Mining | |||
0802 - Bauxite Mining | |||
0803 - Copper Ore Mining | |||
0804 - Gold Ore Mining | |||
0805 - Mineral Sand Mining | |||
0806 - Nickel Ore Mining | |||
0807 - Silver-Lead-Zinc Ore Mining | |||
0809 - Other Metal Ore Mining | |||
09 - Non-Metallic Mineral Mining and Quarrying | |||
090 - Non-Metallic Mineral Mining and Quarrying, nfd | |||
0900 - Non-Metallic Mineral Mining and Quarrying, nfd | |||
091 - Construction Material Mining | |||
0910 - Construction Material Mining, nfd | |||
0911 - Gravel and Sand Quarrying | |||
0919 - Other Construction Material Mining | |||
099 - Other Non-Metallic Mineral Mining and Quarrying | |||
0990 - Other Non-Metallic Mineral Mining and Quarrying | |||
10 - Exploration and Other Mining Support Services | |||
100 - Exploration and Other Mining Support Services, nfd | |||
1000 - Exploration and Other Mining Support Services, nfd | |||
101 - Exploration | |||
1010 - Exploration, nfd | |||
1011 - Petroleum Exploration | |||
1012 - Mineral Exploration | |||
109 - Other Mining Support Services | |||
1090 - Other Mining Support Services |
C - Manufacturing
C - Manufacturing | |||
C0 - Manufacturing, nfd | |||
C00 - Manufacturing, nfd | |||
C000 - Manufacturing, nfd | |||
11 - Food Product Manufacturing | |||
110 - Food Product Manufacturing, nfd | |||
1100 - Food Product Manufacturing, nfd | |||
111 - Meat and Meat Product Manufacturing | |||
1110 - Meat and Meat Product Manufacturing, nfd | |||
1111 - Meat Processing | |||
1112 - Poultry Processing | |||
1113 - Cured Meat and Smallgoods Manufacturing | |||
112 - Seafood Processing | |||
1120 - Seafood Processing | |||
113 - Dairy Product Manufacturing | |||
1130 - Dairy Product Manufacturing, nfd | |||
1131 - Milk and Cream Processing | |||
1132 - Ice Cream Manufacturing | |||
1133 - Cheese and Other Dairy Product Manufacturing | |||
114 - Fruit and Vegetable Processing | |||
1140 - Fruit and Vegetable Processing | |||
115 - Oil and Fat Manufacturing | |||
1150 - Oil and Fat Manufacturing | |||
116 - Grain Mill and Cereal Product Manufacturing | |||
1160 - Grain Mill and Cereal Product Manufacturing, nfd | |||
1161 - Grain Mill Product Manufacturing | |||
1162 - Cereal, Pasta and Baking Mix Manufacturing | |||
117 - Bakery Product Manufacturing | |||
1170 - Bakery Product Manufacturing, nfd | |||
1171 - Bread Manufacturing (Factory based) | |||
1172 - Cake and Pastry Manufacturing (Factory based) | |||
1173 - Biscuit Manufacturing (Factory based) | |||
1174 - Bakery Product Manufacturing (Non-factory based) | |||
118 - Sugar and Confectionery Manufacturing | |||
1180 - Sugar and Confectionery Manufacturing, nfd | |||
1181 - Sugar Manufacturing | |||
1182 - Confectionery Manufacturing | |||
119 - Other Food Product Manufacturing | |||
1190 - Other Food Product Manufacturing, nfd | |||
1191 - Potato, Corn and Other Crisp Manufacturing | |||
1192 - Prepared Animal and Bird Feed Manufacturing | |||
1199 - Other Food Product Manufacturing nec | |||
12 - Beverage and Tobacco Product Manufacturing | |||
120 - Beverage and Tobacco Product Manufacturing, nfd | |||
1200 - Beverage and Tobacco Product Manufacturing, nfd | |||
121 - Beverage Manufacturing | |||
1210 - Beverage Manufacturing, nfd | |||
1211 - Soft Drink, Cordial and Syrup Manufacturing | |||
1212 - Beer Manufacturing | |||
1213 - Spirit Manufacturing | |||
1214 - Wine and Other Alcoholic Beverage Manufacturing | |||
122 - Cigarette and Tobacco Product Manufacturing | |||
1220 - Cigarette and Tobacco Product Manufacturing | |||
13 - Textile, Leather, Clothing and Footwear Manufacturing | |||
130 - Textile, Leather, Clothing and Footwear Manufacturing, nfd | |||
1300 - Textile, Leather, Clothing and Footwear Manufacturing, nfd | |||
131 - Textile Manufacturing | |||
1310 - Textile Manufacturing, nfd | |||
1311 - Wool Scouring | |||
1312 - Natural Textile Manufacturing | |||
1313 - Synthetic Textile Manufacturing | |||
132 - Leather Tanning, Fur Dressing and Leather Product Manufacturing | |||
1320 - Leather Tanning, Fur Dressing and Leather Product Manufacturing | |||
133 - Textile Product Manufacturing | |||
1330 - Textile Product Manufacturing, nfd | |||
1331 - Textile Floor Covering Manufacturing | |||
1332 - Rope, Cordage and Twine Manufacturing | |||
1333 - Cut and Sewn Textile Product Manufacturing | |||
1334 - Textile Finishing and Other Textile Product Manufacturing | |||
134 - Knitted Product Manufacturing | |||
1340 - Knitted Product Manufacturing | |||
135 - Clothing and Footwear Manufacturing | |||
1350 - Clothing and Footwear Manufacturing, nfd | |||
1351 - Clothing Manufacturing | |||
1352 - Footwear Manufacturing | |||
14 - Wood Product Manufacturing | |||
140 - Wood Product Manufacturing, nfd | |||
1400 - Wood Product Manufacturing, nfd | |||
141 - Log Sawmilling and Timber Dressing | |||
1410 - Log Sawmilling and Timber Dressing, nfd | |||
1411 - Log Sawmilling | |||
1412 - Wood Chipping | |||
1413 - Timber Resawing and Dressing | |||
149 - Other Wood Product Manufacturing | |||
1490 - Other Wood Product Manufacturing, nfd | |||
1491 - Prefabricated Wooden Building Manufacturing | |||
1492 - Wooden Structural Fitting and Component Manufacturing | |||
1493 - Veneer and Plywood Manufacturing | |||
1494 - Reconstituted Wood Product Manufacturing | |||
1499 - Other Wood Product Manufacturing nec | |||
15 - Pulp, Paper and Converted Paper Product Manufacturing | |||
150 - Pulp, Paper and Converted Paper Product Manufacturing, nfd | |||
1500 - Pulp, Paper and Converted Paper Product Manufacturing, nfd | |||
151 - Pulp, Paper and Paperboard Manufacturing | |||
1510 - Pulp, Paper and Paperboard Manufacturing | |||
152 - Converted Paper Product Manufacturing | |||
1520 - Converted Paper Product Manufacturing, nfd | |||
1521 - Corrugated Paperboard and Paperboard Container Manufacturing | |||
1522 - Paper Bag Manufacturing | |||
1523 - Paper Stationery Manufacturing | |||
1524 - Sanitary Paper Product Manufacturing | |||
1529 - Other Converted Paper Product Manufacturing | |||
16 - Printing (including the Reproduction of Recorded Media) | |||
160 - Printing (including the Reproduction of Recorded Media), nfd | |||
1600 - Printing (including the Reproduction of Recorded Media), nfd | |||
161 - Printing and Printing Support Services | |||
1610 - Printing and Printing Support Services, nfd | |||
1611 - Printing | |||
1612 - Printing Support Services | |||
162 - Reproduction of Recorded Media | |||
1620 - Reproduction of Recorded Media | |||
17 - Petroleum and Coal Product Manufacturing | |||
170 - Petroleum and Coal Product Manufacturing | |||
1700 - Petroleum and Coal Product Manufacturing, nfd | |||
1701 - Petroleum Refining and Petroleum Fuel Manufacturing | |||
1709 - Other Petroleum and Coal Product Manufacturing | |||
18 - Basic Chemical and Chemical Product Manufacturing | |||
180 - Basic Chemical and Chemical Product Manufacturing, nfd | |||
1800 - Basic Chemical and Chemical Product Manufacturing, nfd | |||
181 - Basic Chemical Manufacturing | |||
1810 - Basic Chemical Manufacturing, nfd | |||
1811 - Industrial Gas Manufacturing | |||
1812 - Basic Organic Chemical Manufacturing | |||
1813 - Basic Inorganic Chemical Manufacturing | |||
182 - Basic Polymer Manufacturing | |||
1820 - Basic Polymer Manufacturing, nfd | |||
1821 - Synthetic Resin and Synthetic Rubber Manufacturing | |||
1829 - Other Basic Polymer Manufacturing | |||
183 - Fertiliser and Pesticide Manufacturing | |||
1830 - Fertiliser and Pesticide Manufacturing, nfd | |||
1831 - Fertiliser Manufacturing | |||
1832 - Pesticide Manufacturing | |||
184 - Pharmaceutical and Medicinal Product Manufacturing | |||
1840 - Pharmaceutical and Medicinal Product Manufacturing, nfd | |||
1841 - Human Pharmaceutical and Medicinal Product Manufacturing | |||
1842 - Veterinary Pharmaceutical and Medicinal Product Manufacturing | |||
185 - Cleaning Compound and Toiletry Preparation Manufacturing | |||
1850 - Cleaning Compound and Toiletry Preparation Manufacturing, nfd | |||
1851 - Cleaning Compound Manufacturing | |||
1852 - Cosmetic and Toiletry Preparation Manufacturing | |||
189 - Other Basic Chemical Product Manufacturing | |||
1890 - Other Basic Chemical Product Manufacturing, nfd | |||
1891 - Photographic Chemical Product Manufacturing | |||
1892 - Explosive Manufacturing | |||
1899 - Other Basic Chemical Product Manufacturing nec | |||
19 - Polymer Product and Rubber Product Manufacturing | |||
190 - Polymer Product and Rubber Product Manufacturing, nfd | |||
1900 - Polymer Product and Rubber Product Manufacturing, nfd | |||
191 - Polymer Product Manufacturing | |||
1910 - Polymer Product Manufacturing, nfd | |||
1911 - Polymer Film and Sheet Packaging Material Manufacturing | |||
1912 - Rigid and Semi-Rigid Polymer Product Manufacturing | |||
1913 - Polymer Foam Product Manufacturing | |||
1914 - Tyre Manufacturing | |||
1915 - Adhesive Manufacturing | |||
1916 - Paint and Coatings Manufacturing | |||
1919 - Other Polymer Product Manufacturing | |||
192 - Natural Rubber Product Manufacturing | |||
1920 - Natural Rubber Product Manufacturing | |||
20 - Non-Metallic Mineral Product Manufacturing | |||
200 - Non-Metallic Mineral Product Manufacturing, nfd | |||
2000 - Non-Metallic Mineral Product Manufacturing, nfd | |||
201 - Glass and Glass Product Manufacturing | |||
2010 - Glass and Glass Product Manufacturing | |||
202 - Ceramic Product Manufacturing | |||
2020 - Ceramic Product Manufacturing, nfd | |||
2021 - Clay Brick Manufacturing | |||
2029 - Other Ceramic Product Manufacturing | |||
203 - Cement, Lime, Plaster and Concrete Product Manufacturing | |||
2030 - Cement, Lime, Plaster and Concrete Product Manufacturing, nfd | |||
2031 - Cement and Lime Manufacturing | |||
2032 - Plaster Product Manufacturing | |||
2033 - Ready-Mixed Concrete Manufacturing | |||
2034 - Concrete Product Manufacturing | |||
209 - Other Non-Metallic Mineral Product Manufacturing | |||
2090 - Other Non-Metallic Mineral Product Manufacturing | |||
21 - Primary Metal and Metal Product Manufacturing | |||
210 - Primary Metal and Metal Product Manufacturing, nfd | |||
2100 - Primary Metal and Metal Product Manufacturing, nfd | |||
211 - Basic Ferrous Metal Manufacturing | |||
2110 - Iron Smelting and Steel Manufacturing | |||
212 - Basic Ferrous Metal Product Manufacturing | |||
2120 - Basic Ferrous Metal Product Manufacturing, nfd | |||
2121 - Iron and Steel Casting | |||
2122 - Steel Pipe and Tube Manufacturing | |||
213 - Basic Non-Ferrous Metal Manufacturing | |||
2130 - Basic Non-Ferrous Metal Manufacturing, nfd | |||
2131 - Alumina Production | |||
2132 - Aluminium Smelting | |||
2133 - Copper, Silver, Lead and Zinc Smelting and Refining | |||
2139 - Other Basic Non-Ferrous Metal Manufacturing | |||
214 - Basic Non-Ferrous Metal Product Manufacturing | |||
2140 - Basic Non-Ferrous Metal Product Manufacturing, nfd | |||
2141 - Non-Ferrous Metal Casting | |||
2142 - Aluminium Rolling, Drawing, Extruding | |||
2149 - Other Basic Non-Ferrous Metal Product Manufacturing | |||
22 - Fabricated Metal Product Manufacturing | |||
220 - Fabricated Metal Product Manufacturing, nfd | |||
2200 - Fabricated Metal Product Manufacturing, nfd | |||
221 - Iron and Steel Forging | |||
2210 - Iron and Steel Forging | |||
222 - Structural Metal Product Manufacturing | |||
2220 - Structural Metal Product Manufacturing, nfd | |||
2221 - Structural Steel Fabricating | |||
2222 - Prefabricated Metal Building Manufacturing | |||
2223 - Architectural Aluminium Product Manufacturing | |||
2224 - Metal Roof and Guttering Manufacturing (except Aluminium) | |||
2229 - Other Structural Metal Product Manufacturing | |||
223 - Metal Container Manufacturing | |||
2230 - Metal Container Manufacturing, nfd | |||
2231 - Boiler, Tank and Other Heavy Gauge Metal Container Manufacturing | |||
2239 - Other Metal Container Manufacturing | |||
224 - Sheet Metal Product Manufacturing (except Metal Structural and Container Products) | |||
2240 - Sheet Metal Product Manufacturing (except Metal Structural and Container Products) | |||
229 - Other Fabricated Metal Product Manufacturing | |||
2290 - Other Fabricated Metal Product Manufacturing, nfd | |||
2291 - Spring and Wire Product Manufacturing | |||
2292 - Nut, Bolt, Screw and Rivet Manufacturing | |||
2293 - Metal Coating and Finishing | |||
2299 - Other Fabricated Metal Product Manufacturing nec | |||
23 - Transport Equipment Manufacturing | |||
230 - Transport Equipment Manufacturing, nfd | |||
2300 - Transport Equipment Manufacturing, nfd | |||
231 - Motor Vehicle and Motor Vehicle Part Manufacturing | |||
2310 - Motor Vehicle and Motor Vehicle Part Manufacturing, nfd | |||
2311 - Motor Vehicle Manufacturing | |||
2312 - Motor Vehicle Body and Trailer Manufacturing | |||
2313 - Automotive Electrical Component Manufacturing | |||
2319 - Other Motor Vehicle Parts Manufacturing | |||
239 - Other Transport Equipment Manufacturing | |||
2390 - Other Transport Equipment Manufacturing, nfd | |||
2391 - Shipbuilding and Repair Services | |||
2392 - Boatbuilding and Repair Services | |||
2393 - Railway Rolling Stock Manufacturing and Repair Services | |||
2394 - Aircraft Manufacturing and Repair Services | |||
2399 - Other Transport Equipment Manufacturing nec | |||
24 - Machinery and Equipment Manufacturing | |||
240 - Machinery and Equipment Manufacturing, nfd | |||
2400 - Machinery and Equipment Manufacturing, nfd | |||
241 - Professional and Scientific Equipment Manufacturing | |||
2410 - Professional and Scientific Equipment Manufacturing, nfd | |||
2411 - Photographic, Optical and Ophthalmic Equipment Manufacturing | |||
2412 - Medical and Surgical Equipment Manufacturing | |||
2419 - Other Professional and Scientific Equipment Manufacturing | |||
242 - Computer and Electronic Equipment Manufacturing | |||
2420 - Computer and Electronic Equipment Manufacturing, nfd | |||
2421 - Computer and Electronic Office Equipment Manufacturing | |||
2422 - Communication Equipment Manufacturing | |||
2429 - Other Electronic Equipment Manufacturing | |||
243 - Electrical Equipment Manufacturing | |||
2430 - Electrical Equipment Manufacturing, nfd | |||
2431 - Electric Cable and Wire Manufacturing | |||
2432 - Electric Lighting Equipment Manufacturing | |||
2439 - Other Electrical Equipment Manufacturing | |||
244 - Domestic Appliance Manufacturing | |||
2440 - Domestic Appliance Manufacturing, nfd | |||
2441 - Whiteware Appliance Manufacturing | |||
2449 - Other Domestic Appliance Manufacturing | |||
245 - Pump, Compressor, Heating and Ventilation Equipment Manufacturing | |||
2450 - Pump, Compressor, Heating and Ventilation Equipment Manufacturing, nfd | |||
2451 - Pump and Compressor Manufacturing | |||
2452 - Fixed Space Heating, Cooling and Ventilation Equipment Manufacturing | |||
246 - Specialised Machinery and Equipment Manufacturing | |||
2460 - Specialised Machinery and Equipment Manufacturing, nfd | |||
2461 - Agricultural Machinery and Equipment Manufacturing | |||
2462 - Mining and Construction Machinery Manufacturing | |||
2463 - Machine Tool and Parts Manufacturing | |||
2469 - Other Specialised Machinery and Equipment Manufacturing | |||
249 - Other Machinery and Equipment Manufacturing | |||
2490 - Other Machinery and Equipment Manufacturing, nfd | |||
2491 - Lifting and Material Handling Equipment Manufacturing | |||
2499 - Other Machinery and Equipment Manufacturing nec | |||
25 - Furniture and Other Manufacturing | |||
250 - Furniture and Other Manufacturing, nfd | |||
2500 - Furniture and Other Manufacturing, nfd | |||
251 - Furniture Manufacturing | |||
2510 - Furniture Manufacturing, nfd | |||
2511 - Wooden Furniture and Upholstered Seat Manufacturing | |||
2512 - Metal Furniture Manufacturing | |||
2513 - Mattress Manufacturing | |||
2519 - Other Furniture Manufacturing | |||
259 - Other Manufacturing | |||
2590 - Other Manufacturing, nfd | |||
2591 - Jewellery and Silverware Manufacturing | |||
2592 - Toy, Sporting and Recreational Product Manufacturing | |||
2599 - Other Manufacturing nec |
D - Electricity, Gas, Water and Waste Services
D - Electricity, Gas, Water and Waste Services | |||
D0 - Electricity, Gas, Water and Waste Services, nfd | |||
D00 - Electricity, Gas, Water and Waste Services, nfd | |||
D000 - Electricity, Gas, Water and Waste Services, nfd | |||
26 - Electricity Supply | |||
260 - Electricity Supply, nfd | |||
2600 - Electricity Supply, nfd | |||
261 - Electricity Generation | |||
2610 - Electricity Generation, nfd | |||
2611 - Fossil Fuel Electricity Generation | |||
2612 - Hydro-Electricity Generation | |||
2619 - Other Electricity Generation | |||
262 - Electricity Transmission | |||
2620 - Electricity Transmission | |||
263 - Electricity Distribution | |||
2630 - Electricity Distribution | |||
264 - On Selling Electricity and Electricity Market Operation | |||
2640 - On Selling Electricity and Electricity Market Operation | |||
27 - Gas Supply | |||
270 - Gas Supply | |||
2700 - Gas Supply | |||
28 - Water Supply, Sewerage and Drainage Services | |||
281 - Water Supply, Sewerage and Drainage Services | |||
2810 - Water Supply, Sewerage and Drainage Services, nfd | |||
2811 - Water Supply | |||
2812 - Sewerage and Drainage Services | |||
29 - Waste Collection, Treatment and Disposal Services | |||
290 - Waste Collection, Treatment and Disposal Services, nfd | |||
2900 - Waste Collection, Treatment and Disposal Services, nfd | |||
291 - Waste Collection Services | |||
2910 - Waste Collection Services, nfd | |||
2911 - Solid Waste Collection Services | |||
2919 - Other Waste Collection Services | |||
292 - Waste Treatment, Disposal and Remediation Services | |||
2920 - Waste Treatment, Disposal and Remediation Services, nfd | |||
2921 - Waste Treatment and Disposal Services | |||
2922 - Waste Remediation and Materials Recovery Services |
E - Construction
E - Construction | |||
E0 - Construction, nfd | |||
E00 - Construction, nfd | |||
E000 - Construction, nfd | |||
30 - Building Construction | |||
300 - Building Construction, nfd | |||
3000 - Building Construction, nfd | |||
301 - Residential Building Construction | |||
3010 - Residential Building Construction, nfd | |||
3011 - House Construction | |||
3019 - Other Residential Building Construction | |||
302 - Non-Residential Building Construction | |||
3020 - Non-Residential Building Construction | |||
31 - Heavy and Civil Engineering Construction | |||
310 - Heavy and Civil Engineering Construction | |||
3100 - Heavy and Civil Engineering Construction, nfd | |||
3101 - Road and Bridge Construction | |||
3109 - Other Heavy and Civil Engineering Construction | |||
32 - Construction Services | |||
320 - Construction Services, nfd | |||
3200 - Construction Services, nfd | |||
321 - Land Development and Site Preparation Services | |||
3210 - Land Development and Site Preparation Services, nfd | |||
3211 - Land Development and Subdivision | |||
3212 - Site Preparation Services | |||
322 - Building Structure Services | |||
3220 - Building Structure Services, nfd | |||
3221 - Concreting Services | |||
3222 - Bricklaying Services | |||
3223 - Roofing Services | |||
3224 - Structural Steel Erection Services | |||
323 - Building Installation Services | |||
3230 - Building Installation Services, nfd | |||
3231 - Plumbing Services | |||
3232 - Electrical Services | |||
3233 - Air Conditioning and Heating Services | |||
3234 - Fire and Security Alarm Installation Services | |||
3239 - Other Building Installation Services | |||
324 - Building Completion Services | |||
3240 - Building Completion Services, nfd | |||
3241 - Plastering and Ceiling Services | |||
3242 - Carpentry Services | |||
3243 - Tiling and Carpeting Services | |||
3244 - Painting and Decorating Services | |||
3245 - Glazing Services | |||
329 - Other Construction Services | |||
3290 - Other Construction Services, nfd | |||
3291 - Landscape Construction Services | |||
3292 - Hire of Construction Machinery with Operator | |||
3299 - Other Construction Services nec |
F - Wholesale Trade
F - Wholesale Trade | |||
F0 - Wholesale Trade, nfd | |||
F00 - Wholesale Trade, nfd | |||
F000 - Wholesale Trade, nfd | |||
33 - Basic Material Wholesaling | |||
330 - Basic Material Wholesaling, nfd | |||
3300 - Basic Material Wholesaling, nfd | |||
331 - Agricultural Product Wholesaling | |||
3310 - Agricultural Product Wholesaling, nfd | |||
3311 - Wool Wholesaling | |||
3312 - Cereal Grain Wholesaling | |||
3319 - Other Agricultural Product Wholesaling | |||
332 - Mineral, Metal and Chemical Wholesaling | |||
3320 - Mineral, Metal and Chemical Wholesaling, nfd | |||
3321 - Petroleum Product Wholesaling | |||
3322 - Metal and Mineral Wholesaling | |||
3323 - Industrial and Agricultural Chemical Product Wholesaling | |||
333 - Timber and Hardware Goods Wholesaling | |||
3330 - Timber and Hardware Goods Wholesaling, nfd | |||
3331 - Timber Wholesaling | |||
3332 - Plumbing Goods Wholesaling | |||
3339 - Other Hardware Goods Wholesaling | |||
34 - Machinery and Equipment Wholesaling | |||
340 - Machinery and Equipment Wholesaling, nfd | |||
3400 - Machinery and Equipment Wholesaling, nfd | |||
341 - Specialised Industrial Machinery and Equipment Wholesaling | |||
3410 - Specialised Industrial Machinery and Equipment Wholesaling, nfd | |||
3411 - Agricultural and Construction Machinery Wholesaling | |||
3419 - Other Specialised Industrial Machinery and Equipment Wholesaling | |||
349 - Other Machinery and Equipment Wholesaling | |||
3490 - Other Machinery and Equipment Wholesaling, nfd | |||
3491 - Professional and Scientific Goods Wholesaling | |||
3492 - Computer and Computer Peripheral Wholesaling | |||
3493 - Telecommunication Goods Wholesaling | |||
3494 - Other Electrical and Electronic Goods Wholesaling | |||
3499 - Other Machinery and Equipment Wholesaling nec | |||
35 - Motor Vehicle and Motor Vehicle Parts Wholesaling | |||
350 - Motor Vehicle and Motor Vehicle Parts Wholesaling | |||
3500 - Motor Vehicle and Motor Vehicle Parts Wholesaling, nfd | |||
3501 - Car Wholesaling | |||
3502 - Commercial Vehicle Wholesaling | |||
3503 - Trailer and Other Motor Vehicle Wholesaling | |||
3504 - Motor Vehicle New Parts Wholesaling | |||
3505 - Motor Vehicle Dismantling and Used Parts Wholesaling | |||
36 - Grocery, Liquor and Tobacco Product Wholesaling | |||
360 - Grocery, Liquor and Tobacco Product Wholesaling | |||
3600 - Grocery, Liquor and Tobacco Product Wholesaling, nfd | |||
3601 - General Line Grocery Wholesaling | |||
3602 - Meat, Poultry and Smallgoods Wholesaling | |||
3603 - Dairy Produce Wholesaling | |||
3604 - Fish and Seafood Wholesaling | |||
3605 - Fruit and Vegetable Wholesaling | |||
3606 - Liquor and Tobacco Product Wholesaling | |||
3609 - Other Grocery Wholesaling | |||
37 - Other Goods Wholesaling | |||
370 - Other Goods Wholesaling, nfd | |||
3700 - Other Goods Wholesaling, nfd | |||
371 - Textile, Clothing and Footwear Wholesaling | |||
3710 - Textile, Clothing and Footwear Wholesaling, nfd | |||
3711 - Textile Product Wholesaling | |||
3712 - Clothing and Footwear Wholesaling | |||
372 - Pharmaceutical and Toiletry Goods Wholesaling | |||
3720 - Pharmaceutical and Toiletry Goods Wholesaling | |||
373 - Furniture, Floor Covering and Other Goods Wholesaling | |||
3730 - Furniture, Floor Covering and Other Goods Wholesaling, nfd | |||
3731 - Furniture and Floor Covering Wholesaling | |||
3732 - Jewellery and Watch Wholesaling | |||
3733 - Kitchen and Diningware Wholesaling | |||
3734 - Toy and Sporting Goods Wholesaling | |||
3735 - Book and Magazine Wholesaling | |||
3736 - Paper Product Wholesaling | |||
3739 - Other Goods Wholesaling nec | |||
38 - Commission-Based Wholesaling | |||
380 - Commission-Based Wholesaling | |||
3800 - Commission-Based Wholesaling |
G - Retail Trade
G - Retail Trade | |||
G0 - Retail Trade, nfd | |||
G00 - Retail Trade, nfd | |||
G000 - Retail Trade, nfd | |||
39 - Motor Vehicle and Motor Vehicle Parts Retailing | |||
390 - Motor Vehicle and Motor Vehicle Parts Retailing, nfd | |||
3900 - Motor Vehicle and Motor Vehicle Parts Retailing, nfd | |||
391 - Motor Vehicle Retailing | |||
3910 - Motor Vehicle Retailing, nfd | |||
3911 - Car Retailing | |||
3912 - Motor Cycle Retailing | |||
3913 - Trailer and Other Motor Vehicle Retailing | |||
392 - Motor Vehicle Parts and Tyre Retailing | |||
3920 - Motor Vehicle Parts and Tyre Retailing, nfd | |||
3921 - Motor Vehicle Parts Retailing | |||
3922 - Tyre Retailing | |||
40 - Fuel Retailing | |||
400 - Fuel Retailing | |||
4000 - Fuel Retailing | |||
41 - Food Retailing | |||
410 - Food Retailing, nfd | |||
4100 - Food Retailing, nfd | |||
411 - Supermarket and Grocery Stores | |||
4110 - Supermarket and Grocery Stores | |||
412 - Specialised Food Retailing | |||
4120 - Specialised Food Retailing, nfd | |||
4121 - Fresh Meat, Fish and Poultry Retailing | |||
4122 - Fruit and Vegetable Retailing | |||
4123 - Liquor Retailing | |||
4129 - Other Specialised Food Retailing | |||
42 - Other Store-Based Retailing | |||
420 - Other Store-Based Retailing, nfd | |||
4200 - Other Store-Based Retailing, nfd | |||
421 - Furniture, Floor Coverings, Houseware and Textile Goods Retailing | |||
4210 - Furniture, Floor Coverings, Houseware and Textile Goods Retailing, nfd | |||
4211 - Furniture Retailing | |||
4212 - Floor Coverings Retailing | |||
4213 - Houseware Retailing | |||
4214 - Manchester and Other Textile Goods Retailing | |||
422 - Electrical and Electronic Goods Retailing | |||
4220 - Electrical and Electronic Goods Retailing, nfd | |||
4221 - Electrical, Electronic and Gas Appliance Retailing | |||
4222 - Computer and Computer Peripheral Retailing | |||
4229 - Other Electrical and Electronic Goods Retailing | |||
423 - Hardware, Building and Garden Supplies Retailing | |||
4230 - Hardware, Building and Garden Supplies Retailing, nfd | |||
4231 - Hardware and Building Supplies Retailing | |||
4232 - Garden Supplies Retailing | |||
424 - Recreational Goods Retailing | |||
4240 - Recreational Goods Retailing, nfd | |||
4241 - Sport and Camping Equipment Retailing | |||
4242 - Entertainment Media Retailing | |||
4243 - Toy and Game Retailing | |||
4244 - Newspaper and Book Retailing | |||
4245 - Marine Equipment Retailing | |||
425 - Clothing, Footwear and Personal Accessory Retailing | |||
4250 - Clothing, Footwear and Personal Accessory Retailing, nfd | |||
4251 - Clothing Retailing | |||
4252 - Footwear Retailing | |||
4253 - Watch and Jewellery Retailing | |||
4259 - Other Personal Accessory Retailing | |||
426 - Department Stores | |||
4260 - Department Stores | |||
427 - Pharmaceutical and Other Store-Based Retailing | |||
4270 - Pharmaceutical and Other Store-Based Retailing, nfd | |||
4271 - Pharmaceutical, Cosmetic and Toiletry Goods Retailing | |||
4272 - Stationery Goods Retailing | |||
4273 - Antique and Used Goods Retailing | |||
4274 - Flower Retailing | |||
4279 - Other Store-Based Retailing nec | |||
43 - Non-Store Retailing and Retail Commission-Based Buying and/or Selling | |||
430 - Non-Store Retailing and Retail Commission-Based Buying and/or Selling, nfd | |||
4300 - Non-Store Retailing and Retail Commission-Based Buying and/or Selling, nfd | |||
431 - Non-Store Retailing | |||
4310 - Non-Store Retailing | |||
432 - Retail Commission-Based Buying and/or Selling | |||
4320 - Retail Commission-Based Buying and/or Selling |
H - Accommodation and Food Services
H - Accommodation and Food Services | |||
H0 - Accommodation and Food Services, nfd | |||
H00 - Accommodation and Food Services, nfd | |||
H000 - Accommodation and Food Services, nfd | |||
44 - Accommodation | |||
440 - Accommodation | |||
4400 - Accommodation | |||
45 - Food and Beverage Services | |||
450 - Food and Beverage Services, nfd | |||
4500 - Food and Beverage Services, nfd | |||
451 - Cafes, Restaurants and Takeaway Food Services | |||
4510 - Cafes, Restaurants and Takeaway Food Services, nfd | |||
4511 - Cafes and Restaurants | |||
4512 - Takeaway Food Services | |||
4513 - Catering Services | |||
452 - Pubs, Taverns and Bars | |||
4520 - Pubs, Taverns and Bars | |||
453 - Clubs (Hospitality) | |||
4530 - Clubs (Hospitality) |
I - Transport, Postal and Warehousing
I - Transport, Postal and Warehousing | |||
I0 - Transport, Postal and Warehousing, nfd | |||
I00 - Transport, Postal and Warehousing, nfd | |||
I000 - Transport, Postal and Warehousing, nfd | |||
46 - Road Transport | |||
460 - Road Transport, nfd | |||
4600 - Road Transport, nfd | |||
461 - Road Freight Transport | |||
4610 - Road Freight Transport | |||
462 - Road Passenger Transport | |||
4620 - Road Passenger Transport, nfd | |||
4621 - Interurban and Rural Bus Transport | |||
4622 - Urban Bus Transport (Including Tramway) | |||
4623 - Taxi and Other Road Transport | |||
47 - Rail Transport | |||
470 - Rail Transport, nfd | |||
4700 - Rail Transport, nfd | |||
471 - Rail Freight Transport | |||
4710 - Rail Freight Transport | |||
472 - Rail Passenger Transport | |||
4720 - Rail Passenger Transport | |||
48 - Water Transport | |||
480 - Water Transport, nfd | |||
4800 - Water Transport, nfd | |||
481 - Water Freight Transport | |||
4810 - Water Freight Transport | |||
482 - Water Passenger Transport | |||
4820 - Water Passenger Transport | |||
49 - Air and Space Transport | |||
490 - Air and Space Transport | |||
4900 - Air and Space Transport | |||
50 - Other Transport | |||
500 - Other Transport, nfd | |||
5000 - Other Transport, nfd | |||
501 - Scenic and Sightseeing Transport | |||
5010 - Scenic and Sightseeing Transport | |||
502 - Pipeline and Other Transport | |||
5020 - Pipeline and Other Transport, nfd | |||
5021 - Pipeline Transport | |||
5029 - Other Transport nec | |||
51 - Postal and Courier Pick-up and Delivery Services | |||
510 - Postal and Courier Pick-up and Delivery Services | |||
5100 - Postal and Courier Pick-up and Delivery Services, nfd | |||
5101 - Postal Services | |||
5102 - Courier Pick-up and Delivery Services | |||
52 - Transport Support Services | |||
520 - Transport Support Services, nfd | |||
5200 - Transport Support Services, nfd | |||
521 - Water Transport Support Services | |||
5210 - Water Transport Support Services, nfd | |||
5211 - Stevedoring Services | |||
5212 - Port and Water Transport Terminal Operations | |||
5219 - Other Water Transport Support Services | |||
522 - Airport Operations and Other Air Transport Support Services | |||
5220 - Airport Operations and Other Air Transport Support Services | |||
529 - Other Transport Support Services | |||
5290 - Other Transport Support Services, nfd | |||
5291 - Customs Agency Services | |||
5292 - Freight Forwarding Services | |||
5299 - Other Transport Support Services nec | |||
53 - Warehousing and Storage Services | |||
530 - Warehousing and Storage Services | |||
5300 - Warehousing and Storage Services, nfd | |||
5301 - Grain Storage Services | |||
5309 - Other Warehousing and Storage Services |
J - Information Media and Telecommunications
J - Information Media and Telecommunications | |||
J0 - Information Media and Telecommunications, nfd | |||
J00 - Information Media and Telecommunications, nfd | |||
J000 - Information Media and Telecommunications, nfd | |||
54 - Publishing (except Internet and Music Publishing) | |||
540 - Publishing (except Internet and Music Publishing), nfd | |||
5400 - Publishing (except Internet and Music Publishing), nfd | |||
541 - Newspaper, Periodical, Book and Directory Publishing | |||
5410 - Newspaper, Periodical, Book and Directory Publishing, nfd | |||
5411 - Newspaper Publishing | |||
5412 - Magazine and Other Periodical Publishing | |||
5413 - Book Publishing | |||
5414 - Directory and Mailing List Publishing | |||
5419 - Other Publishing (except Software, Music and Internet) | |||
542 - Software Publishing | |||
5420 - Software Publishing | |||
55 - Motion Picture and Sound Recording Activities | |||
550 - Motion Picture and Sound Recording Activities, nfd | |||
5500 - Motion Picture and Sound Recording Activities, nfd | |||
551 - Motion Picture and Video Activities | |||
5510 - Motion Picture and Video Activities, nfd | |||
5511 - Motion Picture and Video Production | |||
5512 - Motion Picture and Video Distribution | |||
5513 - Motion Picture Exhibition | |||
5514 - Post-production Services and Other Motion Picture and Video Activities | |||
552 - Sound Recording and Music Publishing | |||
5520 - Sound Recording and Music Publishing, nfd | |||
5521 - Music Publishing | |||
5522 - Music and Other Sound Recording Activities | |||
56 - Broadcasting (except Internet) | |||
560 - Broadcasting (except Internet), nfd | |||
5600 - Broadcasting (except Internet), nfd | |||
561 - Radio Broadcasting | |||
5610 - Radio Broadcasting | |||
562 - Television Broadcasting | |||
5620 - Television Broadcasting, nfd | |||
5621 - Free-to-Air Television Broadcasting | |||
5622 - Cable and Other Subscription Broadcasting | |||
57 - Internet Publishing and Broadcasting | |||
570 - Internet Publishing and Broadcasting | |||
5700 - Internet Publishing and Broadcasting | |||
58 - Telecommunications Services | |||
580 - Telecommunications Services | |||
5800 - Telecommunications Services, nfd | |||
5801 - Wired Telecommunications Network Operation | |||
5802 - Other Telecommunications Network Operation | |||
5809 - Other Telecommunications Services | |||
59 - Internet Service Providers, Web Search Portals and Data Processing Services | |||
590 - Internet Service Providers, Web Search Portals and Data Processing Services, nfd | |||
5900 - Internet Service Providers, Web Search Portals and Data Processing Services, nfd | |||
591 - Internet Service Providers and Web Search Portals | |||
5910 - Internet Service Providers and Web Search Portals | |||
592 - Data Processing, Web Hosting and Electronic Information Storage Services | |||
5920 - Data Processing, Web Hosting and Electronic Information Storage Services, nfd | |||
5921 - Data Processing and Web Hosting Services | |||
5922 - Electronic Information Storage Services | |||
60 - Library and Other Information Services | |||
600 - Library and Other Information Services, nfd | |||
6000 - Library and Other Information Services, nfd | |||
601 - Libraries and Archives | |||
6010 - Libraries and Archives | |||
602 - Other Information Services | |||
6020 - Other Information Services |
K - Financial and Insurance Services
K - Financial and Insurance Services | |||
K0 - Financial and Insurance Services, nfd | |||
K00 - Financial and Insurance Services, nfd | |||
K000 - Financial and Insurance Services, nfd | |||
62 - Finance | |||
620 - Finance, nfd | |||
6200 - Finance, nfd | |||
621 - Central Banking | |||
6210 - Central Banking | |||
622 - Depository Financial Intermediation | |||
6220 - Depository Financial Intermediation, nfd | |||
6221 - Banking | |||
6222 - Building Society Operation | |||
6223 - Credit Union Operation | |||
6229 - Other Depository Financial Intermediation | |||
623 - Non-Depository Financing | |||
6230 - Non-Depository Financing | |||
624 - Financial Asset Investing | |||
6240 - Financial Asset Investing | |||
63 - Insurance and Superannuation Funds | |||
630 - Insurance and Superannuation Funds, nfd | |||
6300 - Insurance and Superannuation Funds, nfd | |||
631 - Life Insurance | |||
6310 - Life Insurance | |||
632 - Health and General Insurance | |||
6320 - Health and General Insurance, nfd | |||
6321 - Health Insurance | |||
6322 - General Insurance | |||
633 - Superannuation Funds | |||
6330 - Superannuation Funds | |||
64 - Auxiliary Finance and Insurance Services | |||
640 - Auxiliary Finance and Insurance Services, nfd | |||
6400 - Auxiliary Finance and Insurance Services, nfd | |||
641 - Auxiliary Finance and Investment Services | |||
6410 - Auxiliary Finance and Investment Services, nfd | |||
6411 - Financial Asset Broking Services | |||
6419 - Other Auxiliary Finance and Investment Services | |||
642 - Auxiliary Insurance Services | |||
6420 - Auxiliary Insurance Services |
L - Rental, Hiring and Real Estate Services
L - Rental, Hiring and Real Estate Services | |||
L0 - Rental, Hiring and Real Estate Services, nfd | |||
L00 - Rental, Hiring and Real Estate Services, nfd | |||
L000 - Rental, Hiring and Real Estate Services, nfd | |||
66 - Rental and Hiring Services (except Real Estate) | |||
660 - Rental and Hiring Services (except Real Estate), nfd | |||
6600 - Rental and Hiring Services (except Real Estate), nfd | |||
661 - Motor Vehicle and Transport Equipment Rental and Hiring | |||
6610 - Motor Vehicle and Transport Equipment Rental and Hiring, nfd | |||
6611 - Passenger Car Rental and Hiring | |||
6619 - Other Motor Vehicle and Transport Equipment Rental and Hiring | |||
662 - Farm Animal and Bloodstock Leasing | |||
6620 - Farm Animal and Bloodstock Leasing | |||
663 - Other Goods and Equipment Rental and Hiring | |||
6630 - Other Goods and Equipment Rental and Hiring, nfd | |||
6631 - Heavy Machinery and Scaffolding Rental and Hiring | |||
6632 - Video and Other Electronic Media Rental and Hiring | |||
6639 - Other Goods and Equipment Rental and Hiring nec | |||
664 - Non-Financial Intangible Assets (except Copyrights) Leasing | |||
6640 - Non-Financial Intangible Assets (except Copyrights) Leasing | |||
67 - Property Operators and Real Estate Services | |||
670 - Property Operators and Real Estate Services, nfd | |||
6700 - Property Operators and Real Estate Services, nfd | |||
671 - Property Operators | |||
6710 - Property Operators, nfd | |||
6711 - Residential Property Operators | |||
6712 - Non-Residential Property Operators | |||
672 - Real Estate Services | |||
6720 - Real Estate Services |
M - Professional, Scientific and Technical Services
M - Professional, Scientific and Technical Services | |||
M0 - Professional, Scientific and Technical Services, nfd | |||
M00 - Professional, Scientific and Technical Services, nfd | |||
M000 - Professional, Scientific and Technical Services, nfd | |||
69 - Professional, Scientific and Technical Services (except Computer System Design and Related Services) | |||
690 - Professional, Scientific and Technical Services (except Computer System Design and Related Services), nfd | |||
6900 - Professional, Scientific and Technical Services (except Computer System Design and Related Services), nfd | |||
691 - Scientific Research Services | |||
6910 - Scientific Research Services | |||
692 - Architectural, Engineering and Technical Services | |||
6920 - Architectural, Engineering and Technical Services, nfd | |||
6921 - Architectural Services | |||
6922 - Surveying and Mapping Services | |||
6923 - Engineering Design and Engineering Consulting Services | |||
6924 - Other Specialised Design Services | |||
6925 - Scientific Testing and Analysis Services | |||
693 - Legal and Accounting Services | |||
6930 - Legal and Accounting Services, nfd | |||
6931 - Legal Services | |||
6932 - Accounting Services | |||
694 - Advertising Services | |||
6940 - Advertising Services | |||
695 - Market Research and Statistical Services | |||
6950 - Market Research and Statistical Services | |||
696 - Management and Related Consulting Services | |||
6960 - Management and Related Consulting Services, nfd | |||
6961 - Corporate Head Office Management Services | |||
6962 - Management Advice and Related Consulting Services | |||
697 - Veterinary Services | |||
6970 - Veterinary Services | |||
699 - Other Professional, Scientific and Technical Services | |||
6990 - Other Professional, Scientific and Technical Services, nfd | |||
6991 - Professional Photographic Services | |||
6999 - Other Professional, Scientific and Technical Services nec | |||
70 - Computer System Design and Related Services | |||
700 - Computer System Design and Related Services | |||
7000 - Computer System Design and Related Services |
N - Administrative and Support Services
N - Administrative and Support Services | |||
N0 - Administrative and Support Services, nfd | |||
N00 - Administrative and Support Services, nfd | |||
N000 - Administrative and Support Services, nfd | |||
72 - Administrative Services | |||
720 - Administrative Services, nfd | |||
7200 - Administrative Services, nfd | |||
721 - Employment Services | |||
7210 - Employment Services, nfd | |||
7211 - Employment Placement and Recruitment Services | |||
7212 - Labour Supply Services | |||
722 - Travel Agency and Tour Arrangement Services | |||
7220 - Travel Agency and Tour Arrangement Services | |||
729 - Other Administrative Services | |||
7290 - Other Administrative Services, nfd | |||
7291 - Office Administrative Services | |||
7292 - Document Preparation Services | |||
7293 - Credit Reporting and Debt Collection Services | |||
7294 - Call Centre Operation | |||
7299 - Other Administrative Services nec | |||
73 - Building Cleaning, Pest Control and Other Support Services | |||
730 - Building Cleaning, Pest Control and Other Support Services, nfd | |||
7300 - Building Cleaning, Pest Control and Other Support Services, nfd | |||
731 - Building Cleaning, Pest Control and Gardening Services | |||
7310 - Building Cleaning, Pest Control and Gardening Services, nfd | |||
7311 - Building and Other Industrial Cleaning Services | |||
7312 - Building Pest Control Services | |||
7313 - Gardening Services | |||
732 - Packaging Services | |||
7320 - Packaging Services |
O - Public Administration and Safety
O - Public Administration and Safety | |||
O0 - Public Administration and Safety, nfd | |||
O00 - Public Administration and Safety, nfd | |||
O000 - Public Administration and Safety, nfd | |||
75 - Public Administration | |||
750 - Public Administration, nfd | |||
7500 - Public Administration, nfd | |||
751 - Central Government Administration | |||
7510 - Central Government Administration | |||
752 - State Government Administration | |||
7520 - State Government Administration | |||
753 - Local Government Administration | |||
7530 - Local Government Administration | |||
754 - Justice | |||
7540 - Justice | |||
755 - Government Representation | |||
7550 - Government Representation, nfd | |||
7551 - Domestic Government Representation | |||
7552 - Foreign Government Representation | |||
76 - Defence | |||
760 - Defence | |||
7600 - Defence | |||
77 - Public Order, Safety and Regulatory Services | |||
770 - Public Order, Safety and Regulatory Services, nfd | |||
7700 - Public Order, Safety and Regulatory Services, nfd | |||
771 - Public Order and Safety Services | |||
7710 - Public Order and Safety Services, nfd | |||
7711 - Police Services | |||
7712 - Investigation and Security Services | |||
7713 - Fire Protection and Other Emergency Services | |||
7714 - Correctional and Detention Services | |||
7719 - Other Public Order and Safety Services | |||
772 - Regulatory Services | |||
7720 - Regulatory Services |
P - Education and Training
P - Education and Training | |||
P0 - Education and Training, nfd | |||
P00 - Education and Training, nfd | |||
P000 - Education and Training, nfd | |||
80 - Preschool and School Education | |||
800 - Preschool and School Education, nfd | |||
8000 - Preschool and School Education, nfd | |||
801 - Preschool Education | |||
8010 - Preschool Education | |||
802 - School Education | |||
8020 - School Education, nfd | |||
8021 - Primary Education | |||
8022 - Secondary Education | |||
8023 - Combined Primary and Secondary Education | |||
8024 - Special School Education | |||
81 - Tertiary Education | |||
810 - Tertiary Education | |||
8100 - Tertiary Education, nfd | |||
8101 - Technical and Vocational Education and Training | |||
8102 - Higher Education | |||
82 - Adult, Community and Other Education | |||
820 - Adult, Community and Other Education, nfd | |||
8200 - Adult, Community and Other Education, nfd | |||
821 - Adult, Community and Other Education | |||
8210 - Adult, Community and Other Education, nfd | |||
8211 - Sports and Physical Recreation Instruction | |||
8212 - Arts Education | |||
8219 - Adult, Community and Other Education nec | |||
822 - Educational Support Services | |||
8220 - Educational Support Services |
Q - Health Care and Social Assistance
Q - Health Care and Social Assistance | |||
Q0 - Health Care and Social Assistance, nfd | |||
Q00 - Health Care and Social Assistance, nfd | |||
Q000 - Health Care and Social Assistance, nfd | |||
84 - Hospitals | |||
840 - Hospitals | |||
8400 - Hospitals, nfd | |||
8401 - Hospitals (except Psychiatric Hospitals) | |||
8402 - Psychiatric Hospitals | |||
85 - Medical and Other Health Care Services | |||
850 - Medical and Other Health Care Services, nfd | |||
8500 - Medical and Other Health Care Services, nfd | |||
851 - Medical Services | |||
8510 - Medical Services, nfd | |||
8511 - General Practice Medical Services | |||
8512 - Specialist Medical Services | |||
852 - Pathology and Diagnostic Imaging Services | |||
8520 - Pathology and Diagnostic Imaging Services | |||
853 - Allied Health Services | |||
8530 - Allied Health Services, nfd | |||
8531 - Dental Services | |||
8532 - Optometry and Optical Dispensing | |||
8533 - Physiotherapy Services | |||
8534 - Chiropractic and Osteopathic Services | |||
8539 - Other Allied Health Services | |||
859 - Other Health Care Services | |||
8590 - Other Health Care Services, nfd | |||
8591 - Ambulance Services | |||
8599 - Other Health Care Services nec | |||
86 - Residential Care Services | |||
860 - Residential Care Services | |||
8600 - Residential Care Services, nfd | |||
8601 - Aged Care Residential Services | |||
8609 - Other Residential Care Services | |||
87 - Social Assistance Services | |||
870 - Social Assistance Services, nfd | |||
8700 - Social Assistance Services, nfd | |||
871 - Child Care Services | |||
8710 - Child Care Services | |||
879 - Other Social Assistance Services | |||
8790 - Other Social Assistance Services |
R - Arts and Recreation Services
R - Arts and Recreation Services | |||
R0 - Arts and Recreation Services, nfd | |||
R00 - Arts and Recreation Services, nfd | |||
R000 - Arts and Recreation Services, nfd | |||
89 - Heritage Activities | |||
890 - Heritage Activities, nfd | |||
8900 - Heritage Activities, nfd | |||
891 - Museum Operation | |||
8910 - Museum Operation | |||
892 - Parks and Gardens Operations | |||
8920 - Parks and Gardens Operations, nfd | |||
8921 - Zoological and Botanical Gardens Operation | |||
8922 - Nature Reserves and Conservation Parks Operation | |||
90 - Creative and Performing Arts Activities | |||
900 - Creative and Performing Arts Activities | |||
9000 - Creative and Performing Arts Activities, nfd | |||
9001 - Performing Arts Operation | |||
9002 - Creative Artists, Musicians, Writers and Performers | |||
9003 - Performing Arts Venue Operation | |||
91 - Sports and Recreation Activities | |||
910 - Sports and Recreation Activities, nfd | |||
9100 - Sports and Recreation Activities, nfd | |||
911 - Sports and Physical Recreation Activities | |||
9110 - Sports and Physical Recreation Activities, nfd | |||
9111 - Health and Fitness Centres and Gymnasia Operation | |||
9112 - Sports and Physical Recreation Clubs and Sports Professionals | |||
9113 - Sports and Physical Recreation Venues, Grounds and Facilities Operation | |||
9114 - Sports and Physical Recreation Administrative Service | |||
912 - Horse and Dog Racing Activities | |||
9120 - Horse and Dog Racing Activities, nfd | |||
9121 - Horse and Dog Racing Administration and Track Operation | |||
9129 - Other Horse and Dog Racing Activities | |||
913 - Amusement and Other Recreation Activities | |||
9130 - Amusement and Other Recreation Activities, nfd | |||
9131 - Amusement Parks and Centres Operation | |||
9139 - Amusement and Other Recreational Activities nec | |||
92 - Gambling Activities | |||
920 - Gambling Activities | |||
9200 - Gambling Activities, nfd | |||
9201 - Casino Operation | |||
9202 - Lottery Operation | |||
9209 - Other Gambling Activities |
S - Other Services
S - Other Services | |||
S0 - Other Services, nfd | |||
S00 - Other Services, nfd | |||
S000 - Other Services, nfd | |||
94 - Repair and Maintenance | |||
940 - Repair and Maintenance, nfd | |||
9400 - Repair and Maintenance, nfd | |||
941 - Automotive Repair and Maintenance | |||
9410 - Automotive Repair and Maintenance, nfd | |||
9411 - Automotive Electrical Services | |||
9412 - Automotive Body, Paint and Interior Repair | |||
9419 - Other Automotive Repair and Maintenance | |||
942 - Machinery and Equipment Repair and Maintenance | |||
9420 - Machinery and Equipment Repair and Maintenance, nfd | |||
9421 - Domestic Appliance Repair and Maintenance | |||
9422 - Electronic (except Domestic Appliance) and Precision Equipment Repair and Maintenance | |||
9429 - Other Machinery and Equipment Repair and Maintenance | |||
949 - Other Repair and Maintenance | |||
9490 - Other Repair and Maintenance, nfd | |||
9491 - Clothing and Footwear Repair | |||
9499 - Other Repair and Maintenance nec | |||
95 - Personal and Other Services | |||
950 - Personal and Other Services, nfd | |||
9500 - Personal and Other Services, nfd | |||
951 - Personal Care Services | |||
9510 - Personal Care Services, nfd | |||
9511 - Hairdressing and Beauty Services | |||
9512 - Diet and Weight Reduction Centre Operation | |||
952 - Funeral, Crematorium and Cemetery Services | |||
9520 - Funeral, Crematorium and Cemetery Services | |||
953 - Other Personal Services | |||
9530 - Other Personal Services, nfd | |||
9531 - Laundry and Dry-Cleaning Services | |||
9532 - Photographic Film Processing | |||
9533 - Parking Services | |||
9534 - Brothel Keeping and Prostitution Services | |||
9539 - Other Personal Services nec | |||
954 - Religious Services | |||
9540 - Religious Services | |||
955 - Civic, Professional and Other Interest Group Services | |||
9550 - Civic, Professional and Other Interest Group Services, nfd | |||
9551 - Business and Professional Association Services | |||
9552 - Labour Association Services | |||
9559 - Other Interest Group Services nec | |||
96 - Private Households Employing Staff and Undifferentiated Goods and Service-Producing Activities of Households for Own Use | |||
960 - Private Households Employing Staff and Undifferentiated Goods and Service-Producing Activities of Households for Own Use | |||
9600 - Private Households Employing Staff and Undifferentiated Goods and Service-Producing Activities of Households for Own Use, nfd | |||
9601 - Private Households Employing Staff | |||
9602 - Undifferentiated Goods-Producing Activities of Households for Own Use | |||
9603 - Undifferentiated Service-Producing Activities of Households for Own Use |
T - Inadequately described
T - Inadequately described | |||
99 - Inadequately described | |||
990 - Inadequately described | |||
9900 - Inadequately described |
Supplementary Codes
Supplementary Codes |
&&&& - Not stated |
@@@@ - Not applicable |
VVVV - Overseas visitor |
Number of categories:
- One digit level: 20
- Two digit level: 106
- Three digit level: 293
- Four digit level: 721
Not applicable (@@@@) category comprises:
- Unemployed persons, looking for either full-time or part-time work
- Persons not in the labour force
- Persons with labour Force status (LFSP) not stated
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
For the main job held last week, what was the employer’s business name?
What best describes the industry or business of the employer at the location where the person works?
More information
Targeted supplementary questions for industry
On the online form there are targeted supplementary questions (TSQs) for the industry of employment question. TSQs are asked to clarify responses for industry of employment question. TSQs are prompted by ‘trigger words’ entered in the Industry field response and produce a predefined radio button question to collect more details from the initial response.
For example, if the word 'health' was entered as the industry or business of the employer, then extra questions are asked about the type of health service or business the respondent's employer operates (see example below).
The list of 'trigger words' and targeted supplementary questions are created by looking at common responses in the 'not further defined' coding categories from the previous Census data.
There are 15 TSQs for industry of employment. A full list of the questions, trigger words and response options are available in the Data downloads section on this page.
Example - Targeted supplementary question
What are the main goods produced or main services provided by the employer’s business?
More information
For the main job held last week, what was the person’s workplace address?
More information
How this variable is created
A person's industry of employment is classified based on responses to a range of questions. These questions include asking for a description of the:
- business name
- industry or business
- main goods produced
- main services provided.
Industry of Employment is coded to the ANZSIC, 2006 (Revision 2.0).
To code the information, industry of employment is first obtained by matching business name and address responses to ABS lists of business names for which main industry activity is already known. These responses are automatically coded.
The remaining responses are coded using write-in responses about type of industry and about main goods or services produced. If a response is captured to a Targeted Supplementary Question (TSQ) in the online form this is used, otherwise the responses are examined by ABS staff and independently assessed for an ANZSIC code. In the absence of adequate industry, business goods or services information, occupation and task responses may be used as supplementary information to help decide which industry to code to. Responses with insufficient information to assign an ANZSIC code are coded to ‘Inadequately described.’
'Not further defined' categories are used when there is insufficient information to code the response to a detailed category in the classification. A response of 'education' for example is not enough to code to a detailed industry such as Preschool or University and would be coded to the 'Education and Training, not further defined' category.
History and changes
The name of employer and address of workplace has been collected since the 1954 Census.
The questions relating to industry of employment or similar were first asked in the 1911 Census and have been asked in all Censuses since then.
In 2016, the question on industry or business changed from a mark box format response to a write-in format. Targeted supplementary questions (TSQs) were also introduced in the online form to clarify responses. Responses to TSQs were taken as a priority over the data in other fields.
In 2021, several minor wording and response order changes were made to the TSQs. The TSQ for repairs and maintenance service was removed for 2021. Responses to TSQs were not taken as a priority over the data in other fields as was done in 2016.
Data use considerations
The occupation or task of an individual, in general, should not be used to determine the industry in which the person works because industry coding based on occupation can give a very different result to that based on the employer's activity. For example, a person works for a coal mining company as a driver of the company's coal trucks. The individual's occupation is 'truck driver'. However, the industry of the individual's employer is 'coal mining' and not 'transport'. This example illustrates how using an individual's occupation as a proxy for industry can lead incorrect assumptions about what industry the person is actually in.
Unlike most Census variables, the non-response rate for Industry of employment (INDP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond or have a labour force status of 'not stated' are not applicable to Industry of Employment.
The non-response rate for Industry of employment (INDP) was 1.3% in 2021. This is an increase from 1.2% in 2016.
Lockdown
A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people being temporarily stood down on Census day. Guidance on how to correctly respond was provided at the time on the Census website, as follows:
'If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID-19 restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and information about your employer (such as industry and number of employees).'
Comparing Census with ABS Labour Force Survey
The Census and Labour Force Survey both collect information about the labour market activity of people aged 15 years and over. While both collections seek to measure the concepts related to employment, unemployment and being outside of the labour force, there are a number of differences between them that should be considered in the use of the data. A summary of the differences between these collections is available in Comparing the 2021 Census and the Labour Force Survey.
Related variables and glossary terms
- Public/private sector (GNGP)
- Place of work (POWP)
- Derivations
- Imputations
- Industry
- Name of employer
Data downloads
-
Industry of employment classification
-
Targeted supplementary questions - industry of employment
Main type of personal government benefit payment (administrative data) (IGAP)
Definition
This variable indicates the main type of government benefit payment that a person received based on all government benefits, pensions, and allowances recorded in administrative data for the 2020/2021 financial year.
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census.
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
00 | Nil or negative income |
01 | Age Pension |
02 | Austudy/ABSTUDY |
03 | Carer Allowance |
04 | Carer Payment |
05 | Dad and Partner Pay |
06 | Disability Support Pension |
07 | Family Tax Benefits |
08 | Future Flexible Support Payment |
09 | Mobility Allowance |
10 | Newstart Allowance and JobSeeker |
11 | Paid Parental Leave Payment |
12 | Parenting Payment |
13 | Special Benefit |
14 | Widow Allowance |
15 | Youth Allowance |
16 | Other government pensions and allowances |
17 | Type of benefit unknown |
18 | Did not receive government pension or allowance |
99 | Admin not available |
@@ | Not applicable |
VV | Overseas visitor |
Number of categories: 22
Admin not available (99) category comprises:
- Persons who were not able to be linked to PLIDA, and therefore did not have administrative income information available
Not applicable (@@) category comprises:
- Persons aged under 15 years
How this variable is created
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains administrative data on government benefits, pensions, and allowances from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.
The payments received between 1 July 2020 and 30 June 2021 are added together within each category. The main type of government benefit payment is the category with the largest amount recorded. This variable does not record the dollar amount of government benefits, pensions, and allowances received; it records what the main benefit type is.
All payments recorded in the administrative data are included, however some Government benefit payments have been excluded from this variable as they are deemed not to represent income. The excluded payments are:
- Rent Assistance
- Fares Allowance
- HECS or Course Fees
- Student Start-up Loan
- Home Equity Access Scheme / Pension Loans Scheme
- Commonwealth Seniors Health Card
History and changes
This is a new variable for 2021.
Data use considerations
This variable provides an alternative, more detailed view on income than income data collected in the Census. It is based on Government benefit, pension and allowance information recorded in linked administrative data, and is not data collected from a Census question.
Financial Year income as a measure of usual income
Financial Year income from the administrative data is used to measure the main type of Government benefit payment received. The Financial Year captures longer term trends of income and is not subject to short term changes around Census time. This means that this variable may not align with what a person received, or usually received around the time of the Census.
Linkage rates between Census and administrative data
This variable relies upon the accurate linkage of Census to the administrative data. Data linkage rates (denoted through the 99 and 9999 categories) need to be considered when assessing totals.
Lockdown
A number of regions across the country were in various stages of lockdown due to the COVID-19 pandemic throughout the 2020-2021 Financial Year. This resulted in a greater number of people being temporarily stood down, which impacted the government benefit payments recorded in administrative data.
Related variables and glossary terms
- Total personal income (administrative data) (weekly) (INCAP)
- Main source of personal income (administrative data) (ISAP)
- Main type of family government benefit payment (administrative data) (FGAF)
- Main type of household government benefit payment (administrative data) (HGAD)
- Administrative data
- Government benefits, pensions and allowances
Useful links
Labour force status and hours worked not stated (LFHRP)
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Employed, worked full-time |
2 | Employed, worked part-time |
3 | Employed, away from work |
4 | Employed, hours of work not stated |
5 | Unemployed, looking for full-time work |
6 | Unemployed, looking for part-time work |
7 | Not in the labour force |
& | Labour force status not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 10
Not applicable (@) category comprises:
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
Last week, did the person have a job of any kind?
More information
In the main job held last week, was the person: Working for an employer; Working in own business?
Last week, how many hours did the person work in all jobs?
More information
Did the person actively look for work at any time in the last four weeks?
More information
If the person had found a job, could the person have started work last week?
This question is only applicable for people who marked 'Yes, looked for full-time work' or 'Yes, looked for part-time work' to the previous question which asks, Did the person actively look for work at any time in the last four weeks?
History and changes
This variable was introduced in 2011. No changes have been made for 2021.
Data use considerations
There are no data use considerations for this variable.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Labour force status of parents/partners in families (LFSF)
Definition
This variable records the labour force status of parents/partners in couple and lone parent families.
Scope
Families in family households
Categories
Code | Category |
---|---|
01 | Couple family: Both employed, worked full-time |
02 | Couple family: One employed full-time, other part-time |
03 | Couple family: One employed full-time, other away from work |
04 | Couple family: One employed full-time, other unemployed |
05 | Couple family: One employed full-time, other not in the labour force |
06 | Couple family: One employed full-time, other labour force status not stated |
07 | Couple family: Both employed, worked part-time |
08 | Couple family: One employed part-time, other away from work |
09 | Couple family: One employed part-time, other unemployed |
10 | Couple family: One employed part-time, other not in the labour force |
11 | Couple family: One employed part-time, other labour force status not stated |
12 | Couple family: Both employed, away from work |
13 | Couple family: One away from work, other unemployed |
14 | Couple family: One away from work, other not in the labour force |
15 | Couple family: One away from work, other labour force status not stated |
16 | Couple family: Both unemployed |
17 | Couple family: One unemployed, other not in the labour force |
18 | Couple family: One unemployed, other labour force status not stated |
19 | Couple family: Both not in the labour force |
20 | Couple family: One not in the labour force, other labour force status not stated |
21 | Couple family: Both labour force status not stated |
22 | One parent family: Employed, worked full-time |
23 | One parent family: Employed, worked part-time |
24 | One parent family: Employed, away from work |
25 | One parent family: Unemployed |
26 | One parent family: Not in the labour force |
27 | One parent family: Labour force status not stated |
28 | Other family |
@@ | Not applicable |
Number of categories: 29
Not applicable (@@) category comprises:
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
'Away from work' includes parents/partners who either:
- did not state the number of hours worked
- did not work any hours in the week prior to Census night
'Labour force status not stated' includes couple families where:
- one or both parents/partners did not state their labour force status
- one parent/partner was temporarily absent on Census night
‘Part-time’ is classified as a person who worked less than 35 hours in all jobs during the week prior to Census night.
‘Full-time’ is classified as a person who has worked 35 hours or more in all jobs during the week prior to Census night.
Question(s) from the Census form
What is the person’s relationship to Person 1/Person 2?
More information
Last week, did the person have a job of any kind?
More Information
Last week, how many hours did the person work in all jobs?
More information
History and changes
This variable was first introduced in 2011, with some minor changes implemented in 2016.
No changes have been made for 2021.
Data use considerations
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Comparing Census with ABS Labour Force Survey
The Census and Labour Force Survey both collect information about the labour market activity of people aged 15 years and over. While both collections seek to measure the concepts related to employment, unemployment and being outside of the labour force, there are a number of differences between them that should be considered in the use of the data. A summary of the differences between these collections is available in Comparing the 2021 Census and the Labour Force Survey.
Labour force status (LFSP)
Definition
This variable records a person’s labour force status for the week prior to Census Night.
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Employed, worked full-time |
2 | Employed, worked part-time |
3 | Employed, away from work |
4 | Unemployed, looking for full-time work |
5 | Unemployed, looking for part-time work |
6 | Not in the labour force |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 9
Not applicable (@) category comprises:
- Persons aged under 15 years
'Employed, away from work' also includes persons who stated they worked but who did not state the number of hours worked.
'Full-time' work means 35 hours or more per week in all jobs.
'Part-time' work means less than 35 hours per week in all jobs.
See Understanding supplementary codes for more information.
Question(s) from the Census form
Last week, did the person have a job of any kind?
More information
In the main job held last week, was the person: Working for an employer; Working in own business?
This question is only applicable for people aged 15 years and over who responded 'Yes, worked for payment or profit' or 'Yes, but absent on holidays, on paid leave, on strike, or temporarily stood down' to the previous question, 'Last week, did the person have a job of any kind?'
Last week, how many hours did the person work in all jobs?
More information
Did the person actively look for work at any time in the last four weeks?
More information
If the person had found a job, could the person have started work last week?
This question is only applicable to people aged 15 years and over who responded 'Yes, looked for full-time work' or 'Yes, looked for part-time work' to the previous question, 'Did the person actively look for work at any time in the last four weeks?'
How this variable is created
Labour force status (LFSP) is derived using responses to questions on:
- full/part-time job
- job last week
- hours worked
- looking for work and
- availability to start work
The derivation method takes into account answers to these questions to derive the most appropriate Labour force status. Occupation information may sometimes be used.
History and changes
Questions relating to labour force status were first asked in the 1911 Census. Response categories were revised in 2006 to align more closely with ABS labour force concepts.
Minor changes were made in 2016 to two of the five questions that contribute to the Labour force status variable. Minor changes were also made to the instructions on the online Census form.
For 2021, an instruction was added to the online form to provide guidance to people in COVID-19 affected areas on Census day. Additional instructions were also added to the Census website – see Data use considerations below for more details.
Data use considerations
The non-response rate for Labour force status (LFSP) was 5.8% in 2021. This is a decrease from 6.7% in 2016.
Lockdown
A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people being temporarily stood down on Census day. Guidance on how to correctly respond to the employment question was provided at the time on the Census website, as follows:
'If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to lockdown or requirement to self-isolate, please select 'Yes, but absent on holidays, on paid leave, on strike or temporarily stood down'.
Those who were not working four weeks prior to the lockdown were asked to select 'No, did not have a job'. People who responded 'No, did not have a job' are not considered to be ‘employed’ and will instead be either ‘unemployed’ or ‘not in the labour force’, depending on their responses to other questions. This is regardless of whether they still have an attachment to their job during lockdown. People can be ‘unemployed’ or ‘not in the labour force’ while receiving the COVID-19 Disaster Payment or the JobSeeker Payment. To be categorised as ‘unemployed’ people must have not worked, be actively looking for work and available to start work. During lockdowns many people leaving employment will also leave the labour force entirely, given the challenges in actively look for work and being available for work.
Community Development Program
People participating only in the Community Development Program are not considered to be employed for the Census. They are considered unemployed or not in the labour force, depending on their job search activities and availability. For further information see Community Development Program participation (CDPP).
Comparing Census with ABS Labour Force Survey
The Census and Labour Force Survey both collect information about the labour market activity of people aged 15 years and over. While both collections seek to measure the concepts related to employment, unemployment and being outside of the labour force, there are a number of differences between them that should be considered in the use of the data. A summary of the differences between these collections is available in Comparing the 2021 Census and the Labour Force Survey.
Related variables and glossary terms
- Hours worked (HRSP)
- Hours worked (ranges) (HRWRP)
- Status in employment (SIEMP)
- Occupation (OCCP)
- Community Development Program participation (CDPP)
- Contributing family worker
- Employee
- Job
- Labour force
- Not in the labour force
- Working population
Occupation (OCCP)
Definition
This variable describes the primary job or occupation held by employed people in the week prior to Census Night.
Occupation data in 2021 is available up to the 6-digit level. This allows for a more detailed look at occupation.
The variable Occupation experimental update version 1 (OCCEV1P) is also available, this is coded using the Australian and New Zealand Standard Classification of Occupations, 2021 Australian Update.
Scope
Employed persons aged 15 years and over
Categories
Occupation is coded using the Australian and New Zealand Standard Classification of Occupations (ANZSCO), 2013, Version 1.3. The categories are listed in groups below. The full list is available from the Data downloads on this page.
1 Managers
1 | Managers | ||||
10 | Managers nfd | ||||
100 | Managers nfd | ||||
1000 | Managers nfd | ||||
100000 | Managers nfd | ||||
11 | Chief Executives, General Managers and Legislators | ||||
111 | Chief Executives, General Managers and Legislators | ||||
1110 | Chief Executives, General Managers and Legislators nfd | ||||
111000 | Chief Executives, General Managers and Legislators nfd | ||||
1111 | Chief Executives and Managing Directors | ||||
111111 | Chief Executive or Managing Director | ||||
1112 | General Managers | ||||
111200 | General Managers nfd | ||||
111211 | Corporate General Manager | ||||
111212 | Defence Force Senior Officer | ||||
1113 | Legislators | ||||
111300 | Legislators nfd | ||||
111311 | Local Government Legislator | ||||
111312 | Member of Parliament | ||||
111399 | Legislators nec | ||||
12 | Farmers and Farm Managers | ||||
121 | Farmers and Farm Managers | ||||
1210 | Farmers and Farm Managers nfd | ||||
121000 | Farmers and Farm Managers nfd | ||||
1211 | Aquaculture Farmers | ||||
121111 | Aquaculture Farmer | ||||
1212 | Crop Farmers | ||||
121200 | Crop Farmers nfd | ||||
121211 | Cotton Grower | ||||
121212 | Flower Grower | ||||
121213 | Fruit or Nut Grower | ||||
121214 | Grain, Oilseed or Pasture Grower | ||||
121215 | Grape Grower | ||||
121216 | Mixed Crop Farmer | ||||
121217 | Sugar Cane Grower | ||||
121218 | Turf Grower | ||||
121221 | Vegetable Grower | ||||
121299 | Crop Farmers nec | ||||
1213 | Livestock Farmers | ||||
121300 | Livestock Farmers nfd | ||||
121311 | Apiarist | ||||
121312 | Beef Cattle Farmer | ||||
121313 | Dairy Cattle Farmer | ||||
121314 | Deer Farmer | ||||
121315 | Goat Farmer | ||||
121316 | Horse Breeder | ||||
121317 | Mixed Livestock Farmer | ||||
121318 | Pig Farmer | ||||
121321 | Poultry Farmer | ||||
121322 | Sheep Farmer | ||||
121399 | Livestock Farmers nec | ||||
1214 | Mixed Crop and Livestock Farmers | ||||
121411 | Mixed Crop and Livestock Farmer | ||||
13 | Specialist Managers | ||||
130 | Specialist Managers nfd | ||||
1300 | Specialist Managers nfd | ||||
130000 | Specialist Managers nfd | ||||
131 | Advertising, Public Relations and Sales Managers | ||||
1311 | Advertising, Public Relations and Sales Managers | ||||
131100 | Advertising, Public Relations and Sales Managers nfd | ||||
131112 | Sales and Marketing Manager | ||||
131113 | Advertising Manager | ||||
131114 | Public Relations Manager | ||||
132 | Business Administration Managers | ||||
1320 | Business Administration Managers nfd | ||||
132000 | Business Administration Managers nfd | ||||
1321 | Corporate Services Managers | ||||
132111 | Corporate Services Manager | ||||
1322 | Finance Managers | ||||
132211 | Finance Manager | ||||
1323 | Human Resource Managers | ||||
132311 | Human Resource Manager | ||||
1324 | Policy and Planning Managers | ||||
132411 | Policy and Planning Manager | ||||
1325 | Research and Development Managers | ||||
132511 | Research and Development Manager | ||||
133 | Construction, Distribution and Production Managers | ||||
1330 | Construction, Distribution and Production Managers nfd | ||||
133000 | Construction, Distribution and Production Managers nfd | ||||
1331 | Construction Managers | ||||
133100 | Construction Managers nfd | ||||
133111 | Construction Project Manager | ||||
133112 | Project Builder | ||||
1332 | Engineering Managers | ||||
133211 | Engineering Manager | ||||
1333 | Importers, Exporters and Wholesalers | ||||
133300 | Importers, Exporters and Wholesalers nfd | ||||
133311 | Importer or Exporter | ||||
133312 | Wholesaler | ||||
1334 | Manufacturers | ||||
133411 | Manufacturer | ||||
1335 | Production Managers | ||||
133500 | Production Managers nfd | ||||
133511 | Production Manager (Forestry) | ||||
133512 | Production Manager (Manufacturing) | ||||
133513 | Production Manager (Mining) | ||||
1336 | Supply, Distribution and Procurement Managers | ||||
133600 | Supply, Distribution and Procurement Managers nfd | ||||
133611 | Supply and Distribution Manager | ||||
133612 | Procurement Manager | ||||
134 | Education, Health and Welfare Services Managers | ||||
1340 | Education, Health and Welfare Services Managers nfd | ||||
134000 | Education, Health and Welfare Services Managers nfd | ||||
1341 | Child Care Centre Managers | ||||
134111 | Child Care Centre Manager | ||||
1342 | Health and Welfare Services Managers | ||||
134200 | Health and Welfare Services Managers nfd | ||||
134211 | Medical Administrator | ||||
134212 | Nursing Clinical Director | ||||
134213 | Primary Health Organisation Manager | ||||
134214 | Welfare Centre Manager | ||||
134299 | Health and Welfare Services Managers nec | ||||
1343 | School Principals | ||||
134311 | School Principal | ||||
1344 | Other Education Managers | ||||
134400 | Other Education Managers nfd | ||||
134411 | Faculty Head | ||||
134412 | Regional Education Manager | ||||
134499 | Education Managers nec | ||||
135 | ICT Managers | ||||
1351 | ICT Managers | ||||
135100 | ICT Managers nfd | ||||
135111 | Chief Information Officer | ||||
135112 | ICT Project Manager | ||||
135199 | ICT Managers nec | ||||
139 | Miscellaneous Specialist Managers | ||||
1390 | Miscellaneous Specialist Managers nfd | ||||
139000 | Miscellaneous Specialist Managers nfd | ||||
1391 | Commissioned Officers (Management) | ||||
139100 | Commissioned Officers (Management) nfd | ||||
139111 | Commissioned Defence Force Officer | ||||
139112 | Commissioned Fire Officer | ||||
139113 | Commissioned Police Officer | ||||
1392 | Senior Non-commissioned Defence Force Members | ||||
139211 | Senior Non-commissioned Defence Force Member | ||||
1399 | Other Specialist Managers | ||||
139900 | Other Specialist Managers nfd | ||||
139911 | Arts Administrator or Manager | ||||
139912 | Environmental Manager | ||||
139913 | Laboratory Manager | ||||
139914 | Quality Assurance Manager | ||||
139915 | Sports Administrator | ||||
139999 | Specialist Managers nec | ||||
14 | Hospitality, Retail and Service Managers | ||||
140 | Hospitality, Retail and Service Managers nfd | ||||
1400 | Hospitality, Retail and Service Managers nfd | ||||
140000 | Hospitality, Retail and Service Managers nfd | ||||
141 | Accommodation and Hospitality Managers | ||||
1410 | Accommodation and Hospitality Managers nfd | ||||
141000 | Accommodation and Hospitality Managers nfd | ||||
1411 | Cafe and Restaurant Managers | ||||
141111 | Cafe or Restaurant Manager | ||||
1412 | Caravan Park and Camping Ground Managers | ||||
141211 | Caravan Park and Camping Ground Manager | ||||
1413 | Hotel and Motel Managers | ||||
141311 | Hotel or Motel Manager | ||||
1414 | Licensed Club Managers | ||||
141411 | Licensed Club Manager | ||||
1419 | Other Accommodation and Hospitality Managers | ||||
141900 | Other Accommodation and Hospitality Managers nfd | ||||
141911 | Bed and Breakfast Operator | ||||
141912 | Retirement Village Manager | ||||
141999 | Accommodation and Hospitality Managers nec | ||||
142 | Retail Managers | ||||
1421 | Retail Managers | ||||
142100 | Retail Managers nfd | ||||
142111 | Retail Manager (General) | ||||
142112 | Antique Dealer | ||||
142113 | Betting Agency Manager | ||||
142114 | Hair or Beauty Salon Manager | ||||
142115 | Post Office Manager | ||||
142116 | Travel Agency Manager | ||||
149 | Miscellaneous Hospitality, Retail and Service Managers | ||||
1490 | Miscellaneous Hospitality, Retail and Service Managers nfd | ||||
149000 | Miscellaneous Hospitality, Retail and Service Managers nfd | ||||
1491 | Amusement, Fitness and Sports Centre Managers | ||||
149100 | Amusement, Fitness and Sports Centre Managers nfd | ||||
149111 | Amusement Centre Manager | ||||
149112 | Fitness Centre Manager | ||||
149113 | Sports Centre Manager | ||||
1492 | Call or Contact Centre and Customer Service Managers | ||||
149200 | Call or Contact Centre and Customer Service Managers nfd | ||||
149211 | Call or Contact Centre Manager | ||||
149212 | Customer Service Manager | ||||
1493 | Conference and Event Organisers | ||||
149311 | Conference and Event Organiser | ||||
1494 | Transport Services Managers | ||||
149400 | Transport Services Managers nfd | ||||
149411 | Fleet Manager | ||||
149412 | Railway Station Manager | ||||
149413 | Transport Company Manager | ||||
1499 | Other Hospitality, Retail and Service Managers | ||||
149900 | Other Hospitality, Retail and Service Managers nfd | ||||
149911 | Boarding Kennel or Cattery Operator | ||||
149912 | Cinema or Theatre Manager | ||||
149913 | Facilities Manager | ||||
149914 | Financial Institution Branch Manager | ||||
149915 | Equipment Hire Manager | ||||
149999 | Hospitality, Retail and Service Managers nec |
2 Professionals
2 | Professionals | ||||
20 | Professionals nfd | ||||
200 | Professionals nfd | ||||
2000 | Professionals nfd | ||||
200000 | Professionals nfd | ||||
21 | Arts and Media Professionals | ||||
210 | Arts and Media Professionals nfd | ||||
2100 | Arts and Media Professionals nfd | ||||
210000 | Arts and Media Professionals nfd | ||||
211 | Arts Professionals | ||||
2110 | Arts Professionals nfd | ||||
211000 | Arts Professionals nfd | ||||
2111 | Actors, Dancers and Other Entertainers | ||||
211100 | Actors, Dancers and Other Entertainers nfd | ||||
211111 | Actor | ||||
211112 | Dancer or Choreographer | ||||
211113 | Entertainer or Variety Artist | ||||
211199 | Actors, Dancers and Other Entertainers nec | ||||
2112 | Music Professionals | ||||
211200 | Music Professionals nfd | ||||
211211 | Composer | ||||
211212 | Music Director | ||||
211213 | Musician (Instrumental) | ||||
211214 | Singer | ||||
211299 | Music Professionals nec | ||||
2113 | Photographers | ||||
211311 | Photographer | ||||
2114 | Visual Arts and Crafts Professionals | ||||
211400 | Visual Arts and Crafts Professionals nfd | ||||
211411 | Painter (Visual Arts) | ||||
211412 | Potter or Ceramic Artist | ||||
211413 | Sculptor | ||||
211499 | Visual Arts and Crafts Professionals nec | ||||
212 | Media Professionals | ||||
2120 | Media Professionals nfd | ||||
212000 | Media Professionals nfd | ||||
2121 | Artistic Directors, and Media Producers and Presenters | ||||
212100 | Artistic Directors, and Media Producers and Presenters nfd | ||||
212111 | Artistic Director | ||||
212112 | Media Producer (excluding Video) | ||||
212113 | Radio Presenter | ||||
212114 | Television Presenter | ||||
2122 | Authors, and Book and Script Editors | ||||
212200 | Authors, and Book and Script Editors nfd | ||||
212211 | Author | ||||
212212 | Book or Script Editor | ||||
2123 | Film, Television, Radio and Stage Directors | ||||
212300 | Film, Television, Radio and Stage Directors nfd | ||||
212311 | Art Director (Film, Television or Stage) | ||||
212312 | Director (Film, Television, Radio or Stage) | ||||
212313 | Director of Photography | ||||
212314 | Film and Video Editor | ||||
212315 | Program Director (Television or Radio) | ||||
212316 | Stage Manager | ||||
212317 | Technical Director | ||||
212318 | Video Producer | ||||
212399 | Film, Television, Radio and Stage Directors nec | ||||
2124 | Journalists and Other Writers | ||||
212400 | Journalists and Other Writers nfd | ||||
212411 | Copywriter | ||||
212412 | Newspaper or Periodical Editor | ||||
212413 | Print Journalist | ||||
212414 | Radio Journalist | ||||
212415 | Technical Writer | ||||
212416 | Television Journalist | ||||
212499 | Journalists and Other Writers nec | ||||
22 | Business, Human Resource and Marketing Professionals | ||||
220 | Business, Human Resource and Marketing Professionals nfd | ||||
2200 | Business, Human Resource and Marketing Professionals nfd | ||||
220000 | Business, Human Resource and Marketing Professionals nfd | ||||
221 | Accountants, Auditors and Company Secretaries | ||||
2210 | Accountants, Auditors and Company Secretaries nfd | ||||
221000 | Accountants, Auditors and Company Secretaries nfd | ||||
2211 | Accountants | ||||
221100 | Accountants nfd | ||||
221111 | Accountant (General) | ||||
221112 | Management Accountant | ||||
221113 | Taxation Accountant | ||||
2212 | Auditors, Company Secretaries and Corporate Treasurers | ||||
221200 | Auditors, Company Secretaries and Corporate Treasurers nfd | ||||
221211 | Company Secretary | ||||
221212 | Corporate Treasurer | ||||
221213 | External Auditor | ||||
221214 | Internal Auditor | ||||
222 | Financial Brokers and Dealers, and Investment Advisers | ||||
2220 | Financial Brokers and Dealers, and Investment Advisers nfd | ||||
222000 | Financial Brokers and Dealers, and Investment Advisers nfd | ||||
2221 | Financial Brokers | ||||
222100 | Financial Brokers nfd | ||||
222111 | Commodities Trader | ||||
222112 | Finance Broker | ||||
222113 | Insurance Broker | ||||
222199 | Financial Brokers nec | ||||
2222 | Financial Dealers | ||||
222200 | Financial Dealers nfd | ||||
222211 | Financial Market Dealer | ||||
222212 | Futures Trader | ||||
222213 | Stockbroking Dealer | ||||
222299 | Financial Dealers nec | ||||
2223 | Financial Investment Advisers and Managers | ||||
222300 | Financial Investment Advisers and Managers nfd | ||||
222311 | Financial Investment Adviser | ||||
222312 | Financial Investment Manager | ||||
223 | Human Resource and Training Professionals | ||||
2230 | Human Resource and Training Professionals nfd | ||||
223000 | Human Resource and Training Professionals nfd | ||||
2231 | Human Resource Professionals | ||||
223100 | Human Resource Professionals nfd | ||||
223111 | Human Resource Adviser | ||||
223112 | Recruitment Consultant | ||||
223113 | Workplace Relations Adviser | ||||
2232 | ICT Trainers | ||||
223211 | ICT Trainer | ||||
2233 | Training and Development Professionals | ||||
223311 | Training and Development Professional | ||||
224 | Information and Organisation Professionals | ||||
2240 | Information and Organisation Professionals nfd | ||||
224000 | Information and Organisation Professionals nfd | ||||
2241 | Actuaries, Mathematicians and Statisticians | ||||
224100 | Actuaries, Mathematicians and Statisticians nfd | ||||
224111 | Actuary | ||||
224112 | Mathematician | ||||
224113 | Statistician | ||||
2242 | Archivists, Curators and Records Managers | ||||
224200 | Archivists, Curators and Records Managers nfd | ||||
224211 | Archivist | ||||
224212 | Gallery or Museum Curator | ||||
224213 | Health Information Manager | ||||
224214 | Records Manager | ||||
2243 | Economists | ||||
224311 | Economist | ||||
2244 | Intelligence and Policy Analysts | ||||
224400 | Intelligence and Policy Analysts nfd | ||||
224411 | Intelligence Officer | ||||
224412 | Policy Analyst | ||||
2245 | Land Economists and Valuers | ||||
224500 | Land Economists and Valuers nfd | ||||
224511 | Land Economist | ||||
224512 | Valuer | ||||
2246 | Librarians | ||||
224611 | Librarian | ||||
2247 | Management and Organisation Analysts | ||||
224700 | Management and Organisation Analysts nfd | ||||
224711 | Management Consultant | ||||
224712 | Organisation and Methods Analyst | ||||
2249 | Other Information and Organisation Professionals | ||||
224900 | Other Information and Organisation Professionals nfd | ||||
224911 | Electorate Officer | ||||
224912 | Liaison Officer | ||||
224913 | Migration Agent | ||||
224914 | Patents Examiner | ||||
224999 | Information and Organisation Professionals nec | ||||
225 | Sales, Marketing and Public Relations Professionals | ||||
2250 | Sales, Marketing and Public Relations Professionals nfd | ||||
225000 | Sales, Marketing and Public Relations Professionals nfd | ||||
2251 | Advertising and Marketing Professionals | ||||
225100 | Advertising and Marketing Professionals nfd | ||||
225111 | Advertising Specialist | ||||
225112 | Market Research Analyst | ||||
225113 | Marketing Specialist | ||||
2252 | ICT Sales Professionals | ||||
225200 | ICT Sales Professionals nfd | ||||
225211 | ICT Account Manager | ||||
225212 | ICT Business Development Manager | ||||
225213 | ICT Sales Representative | ||||
2253 | Public Relations Professionals | ||||
225311 | Public Relations Professional | ||||
2254 | Technical Sales Representatives | ||||
225400 | Technical Sales Representatives nfd | ||||
225411 | Sales Representative (Industrial Products) | ||||
225412 | Sales Representative (Medical and Pharmaceutical Products) | ||||
225499 | Technical Sales Representatives nec | ||||
23 | Design, Engineering, Science and Transport Professionals | ||||
230 | Design, Engineering, Science and Transport Professionals nfd | ||||
2300 | Design, Engineering, Science and Transport Professionals nfd | ||||
230000 | Design, Engineering, Science and Transport Professionals nfd | ||||
231 | Air and Marine Transport Professionals | ||||
2310 | Air and Marine Transport Professionals nfd | ||||
231000 | Air and Marine Transport Professionals nfd | ||||
2311 | Air Transport Professionals | ||||
231100 | Air Transport Professionals nfd | ||||
231111 | Aeroplane Pilot | ||||
231112 | Air Traffic Controller | ||||
231113 | Flying Instructor | ||||
231114 | Helicopter Pilot | ||||
231199 | Air Transport Professionals nec | ||||
2312 | Marine Transport Professionals | ||||
231200 | Marine Transport Professionals nfd | ||||
231211 | Master Fisher | ||||
231212 | Ship's Engineer | ||||
231213 | Ship's Master | ||||
231214 | Ship's Officer | ||||
231215 | Marine Surveyor | ||||
231299 | Marine Transport Professionals nec | ||||
232 | Architects, Designers, Planners and Surveyors | ||||
2320 | Architects, Designers, Planners and Surveyors nfd | ||||
232000 | Architects, Designers, Planners and Surveyors nfd | ||||
2321 | Architects and Landscape Architects | ||||
232100 | Architects and Landscape Architects nfd | ||||
232111 | Architect | ||||
232112 | Landscape Architect | ||||
2322 | Surveyors and Spatial Scientists | ||||
232200 | Surveyors and Spatial Scientists nfd | ||||
232212 | Surveyor | ||||
232213 | Cartographer | ||||
232214 | Other Spatial Scientist | ||||
2323 | Fashion, Industrial and Jewellery Designers | ||||
232300 | Fashion, Industrial and Jewellery Designers nfd | ||||
232311 | Fashion Designer | ||||
232312 | Industrial Designer | ||||
232313 | Jewellery Designer | ||||
2324 | Graphic and Web Designers, and Illustrators | ||||
232400 | Graphic and Web Designers, and Illustrators nfd | ||||
232411 | Graphic Designer | ||||
232412 | Illustrator | ||||
232413 | Multimedia Designer | ||||
232414 | Web Designer | ||||
2325 | Interior Designers | ||||
232511 | Interior Designer | ||||
2326 | Urban and Regional Planners | ||||
232611 | Urban and Regional Planner | ||||
233 | Engineering Professionals | ||||
2330 | Engineering Professionals nfd | ||||
233000 | Engineering Professionals nfd | ||||
2331 | Chemical and Materials Engineers | ||||
233100 | Chemical and Materials Engineers nfd | ||||
233111 | Chemical Engineer | ||||
233112 | Materials Engineer | ||||
2332 | Civil Engineering Professionals | ||||
233200 | Civil Engineering Professionals nfd | ||||
233211 | Civil Engineer | ||||
233212 | Geotechnical Engineer | ||||
233213 | Quantity Surveyor | ||||
233214 | Structural Engineer | ||||
233215 | Transport Engineer | ||||
2333 | Electrical Engineers | ||||
233311 | Electrical Engineer | ||||
2334 | Electronics Engineers | ||||
233411 | Electronics Engineer | ||||
2335 | Industrial, Mechanical and Production Engineers | ||||
233500 | Industrial, Mechanical and Production Engineers nfd | ||||
233511 | Industrial Engineer | ||||
233512 | Mechanical Engineer | ||||
233513 | Production or Plant Engineer | ||||
2336 | Mining Engineers | ||||
233600 | Mining Engineers nfd | ||||
233611 | Mining Engineer (excluding Petroleum) | ||||
233612 | Petroleum Engineer | ||||
2339 | Other Engineering Professionals | ||||
233900 | Other Engineering Professionals nfd | ||||
233911 | Aeronautical Engineer | ||||
233912 | Agricultural Engineer | ||||
233913 | Biomedical Engineer | ||||
233914 | Engineering Technologist | ||||
233915 | Environmental Engineer | ||||
233916 | Naval Architect | ||||
233999 | Engineering Professionals nec | ||||
234 | Natural and Physical Science Professionals | ||||
2340 | Natural and Physical Science Professionals nfd | ||||
234000 | Natural and Physical Science Professionals nfd | ||||
2341 | Agricultural and Forestry Scientists | ||||
234100 | Agricultural and Forestry Scientists nfd | ||||
234111 | Agricultural Consultant | ||||
234112 | Agricultural Scientist | ||||
234113 | Forester | ||||
2342 | Chemists, and Food and Wine Scientists | ||||
234200 | Chemists, and Food and Wine Scientists nfd | ||||
234211 | Chemist | ||||
234212 | Food Technologist | ||||
234213 | Wine Maker | ||||
2343 | Environmental Scientists | ||||
234300 | Environmental Scientists nfd | ||||
234311 | Conservation Officer | ||||
234312 | Environmental Consultant | ||||
234313 | Environmental Research Scientist | ||||
234314 | Park Ranger | ||||
234399 | Environmental Scientists nec | ||||
2344 | Geologists, Geophysicists and Hydrogeologists | ||||
234400 | Geologists, Geophysicists and Hydrogeologists nfd | ||||
234411 | Geologist | ||||
234412 | Geophysicist | ||||
234413 | Hydrogeologist | ||||
2345 | Life Scientists | ||||
234500 | Life Scientists nfd | ||||
234511 | Life Scientist (General) | ||||
234513 | Biochemist | ||||
234514 | Biotechnologist | ||||
234515 | Botanist | ||||
234516 | Marine Biologist | ||||
234517 | Microbiologist | ||||
234518 | Zoologist | ||||
234599 | Life Scientists nec | ||||
2346 | Medical Laboratory Scientists | ||||
234611 | Medical Laboratory Scientist | ||||
2347 | Veterinarians | ||||
234711 | Veterinarian | ||||
2349 | Other Natural and Physical Science Professionals | ||||
234900 | Other Natural and Physical Science Professionals nfd | ||||
234911 | Conservator | ||||
234912 | Metallurgist | ||||
234913 | Meteorologist | ||||
234914 | Physicist | ||||
234915 | Exercise Physiologist | ||||
234999 | Natural and Physical Science Professionals nec | ||||
24 | Education Professionals | ||||
240 | Education Professionals nfd | ||||
2400 | Education Professionals nfd | ||||
240000 | Education Professionals nfd | ||||
241 | School Teachers | ||||
2410 | School Teachers nfd | ||||
241000 | School Teachers nfd | ||||
2411 | Early Childhood (Pre-primary School) Teachers | ||||
241111 | Early Childhood (Pre-primary School) Teacher | ||||
2412 | Primary School Teachers | ||||
241213 | Primary School Teacher | ||||
2413 | Middle School Teachers (Aus) / Intermediate School Teachers (NZ) | ||||
241311 | Middle School Teacher | ||||
2414 | Secondary School Teachers | ||||
241411 | Secondary School Teacher | ||||
2415 | Special Education Teachers | ||||
241500 | Special Education Teachers nfd | ||||
241511 | Special Needs Teacher | ||||
241512 | Teacher of the Hearing Impaired | ||||
241513 | Teacher of the Sight Impaired | ||||
241599 | Special Education Teachers nec | ||||
242 | Tertiary Education Teachers | ||||
2420 | Tertiary Education Teachers nfd | ||||
242000 | Tertiary Education Teachers nfd | ||||
2421 | University Lecturers and Tutors | ||||
242100 | University Lecturers and Tutors nfd | ||||
242111 | University Lecturer | ||||
242112 | University Tutor | ||||
2422 | Vocational Education Teachers (Aus) / Polytechnic Teachers (NZ) | ||||
242211 | Vocational Education Teacher | ||||
249 | Miscellaneous Education Professionals | ||||
2490 | Miscellaneous Education Professionals nfd | ||||
249000 | Miscellaneous Education Professionals nfd | ||||
2491 | Education Advisers and Reviewers | ||||
249100 | Education Advisers and Reviewers nfd | ||||
249111 | Education Adviser | ||||
249112 | Education Reviewer | ||||
2492 | Private Tutors and Teachers | ||||
249200 | Private Tutors and Teachers nfd | ||||
249211 | Art Teacher (Private Tuition) | ||||
249212 | Dance Teacher (Private Tuition) | ||||
249213 | Drama Teacher (Private Tuition) | ||||
249214 | Music Teacher (Private Tuition) | ||||
249299 | Private Tutors and Teachers nec | ||||
2493 | Teachers of English to Speakers of Other Languages | ||||
249311 | Teacher of English to Speakers of Other Languages | ||||
25 | Health Professionals | ||||
250 | Health Professionals nfd | ||||
2500 | Health Professionals nfd | ||||
250000 | Health Professionals nfd | ||||
251 | Health Diagnostic and Promotion Professionals | ||||
2510 | Health Diagnostic and Promotion Professionals nfd | ||||
251000 | Health Diagnostic and Promotion Professionals nfd | ||||
2511 | Nutrition Professionals | ||||
251100 | Nutrition Professionals nfd | ||||
251111 | Dietitian | ||||
251112 | Nutritionist | ||||
2512 | Medical Imaging Professionals | ||||
251200 | Medical Imaging Professionals nfd | ||||
251211 | Medical Diagnostic Radiographer | ||||
251212 | Medical Radiation Therapist | ||||
251213 | Nuclear Medicine Technologist | ||||
251214 | Sonographer | ||||
2513 | Occupational and Environmental Health Professionals | ||||
251300 | Occupational and Environmental Health Professionals nfd | ||||
251311 | Environmental Health Officer | ||||
251312 | Occupational Health and Safety Adviser | ||||
2514 | Optometrists and Orthoptists | ||||
251400 | Optometrists and Orthoptists nfd | ||||
251411 | Optometrist | ||||
251412 | Orthoptist | ||||
2515 | Pharmacists | ||||
251500 | Pharmacists nfd | ||||
251511 | Hospital Pharmacist | ||||
251512 | Industrial Pharmacist | ||||
251513 | Retail Pharmacist | ||||
2519 | Other Health Diagnostic and Promotion Professionals | ||||
251900 | Other Health Diagnostic and Promotion Professionals nfd | ||||
251911 | Health Promotion Officer | ||||
251912 | Orthotist or Prosthetist | ||||
251999 | Health Diagnostic and Promotion Professionals nec | ||||
252 | Health Therapy Professionals | ||||
2520 | Health Therapy Professionals nfd | ||||
252000 | Health Therapy Professionals nfd | ||||
2521 | Chiropractors and Osteopaths | ||||
252100 | Chiropractors and Osteopaths nfd | ||||
252111 | Chiropractor | ||||
252112 | Osteopath | ||||
2522 | Complementary Health Therapists | ||||
252200 | Complementary Health Therapists nfd | ||||
252211 | Acupuncturist | ||||
252212 | Homoeopath | ||||
252213 | Naturopath | ||||
252214 | Traditional Chinese Medicine Practitioner | ||||
252299 | Complementary Health Therapists nec | ||||
2523 | Dental Practitioners | ||||
252300 | Dental Practitioners nfd | ||||
252311 | Dental Specialist | ||||
252312 | Dentist | ||||
2524 | Occupational Therapists | ||||
252411 | Occupational Therapist | ||||
2525 | Physiotherapists | ||||
252511 | Physiotherapist | ||||
2526 | Podiatrists | ||||
252611 | Podiatrist | ||||
2527 | Audiologists and Speech Pathologists \ Therapists | ||||
252700 | Audiologists and Speech Pathologists \ Therapists nfd | ||||
252711 | Audiologist | ||||
252712 | Speech Pathologist | ||||
253 | Medical Practitioners | ||||
2530 | Medical Practitioners nfd | ||||
253000 | Medical Practitioners nfd | ||||
2531 | General Practitioners and Resident Medical Officers | ||||
253100 | General Practitioners and Resident Medical Officers nfd | ||||
253111 | General Practitioner | ||||
253112 | Resident Medical Officer | ||||
2532 | Anaesthetists | ||||
253211 | Anaesthetist | ||||
2533 | Specialist Physicians | ||||
253300 | Specialist Physicians nfd | ||||
253311 | Specialist Physician (General Medicine) | ||||
253312 | Cardiologist | ||||
253313 | Clinical Haematologist | ||||
253314 | Medical Oncologist | ||||
253315 | Endocrinologist | ||||
253316 | Gastroenterologist | ||||
253317 | Intensive Care Specialist | ||||
253318 | Neurologist | ||||
253321 | Paediatrician | ||||
253322 | Renal Medicine Specialist | ||||
253323 | Rheumatologist | ||||
253324 | Thoracic Medicine Specialist | ||||
253399 | Specialist Physicians nec | ||||
2534 | Psychiatrists | ||||
253411 | Psychiatrist | ||||
2535 | Surgeons | ||||
253500 | Surgeons nfd | ||||
253511 | Surgeon (General) | ||||
253512 | Cardiothoracic Surgeon | ||||
253513 | Neurosurgeon | ||||
253514 | Orthopaedic Surgeon | ||||
253515 | Otorhinolaryngologist | ||||
253516 | Paediatric Surgeon | ||||
253517 | Plastic and Reconstructive Surgeon | ||||
253518 | Urologist | ||||
253521 | Vascular Surgeon | ||||
2539 | Other Medical Practitioners | ||||
253900 | Other Medical Practitioners nfd | ||||
253911 | Dermatologist | ||||
253912 | Emergency Medicine Specialist | ||||
253913 | Obstetrician and Gynaecologist | ||||
253914 | Ophthalmologist | ||||
253915 | Pathologist | ||||
253917 | Diagnostic and Interventional Radiologist | ||||
253918 | Radiation Oncologist | ||||
253999 | Medical Practitioners nec | ||||
254 | Midwifery and Nursing Professionals | ||||
2540 | Midwifery and Nursing Professionals nfd | ||||
254000 | Midwifery and Nursing Professionals nfd | ||||
2541 | Midwives | ||||
254111 | Midwife | ||||
2542 | Nurse Educators and Researchers | ||||
254200 | Nurse Educators and Researchers nfd | ||||
254211 | Nurse Educator | ||||
254212 | Nurse Researcher | ||||
2543 | Nurse Managers | ||||
254311 | Nurse Manager | ||||
2544 | Registered Nurses | ||||
254400 | Registered Nurses nfd | ||||
254411 | Nurse Practitioner | ||||
254412 | Registered Nurse (Aged Care) | ||||
254413 | Registered Nurse (Child and Family Health) | ||||
254414 | Registered Nurse (Community Health) | ||||
254415 | Registered Nurse (Critical Care and Emergency) | ||||
254416 | Registered Nurse (Developmental Disability) | ||||
254417 | Registered Nurse (Disability and Rehabilitation) | ||||
254418 | Registered Nurse (Medical) | ||||
254421 | Registered Nurse (Medical Practice) | ||||
254422 | Registered Nurse (Mental Health) | ||||
254423 | Registered Nurse (Perioperative) | ||||
254424 | Registered Nurse (Surgical) | ||||
254425 | Registered Nurse (Paediatrics) | ||||
254499 | Registered Nurses nec | ||||
26 | ICT Professionals | ||||
260 | ICT Professionals nfd | ||||
2600 | ICT Professionals nfd | ||||
260000 | ICT Professionals nfd | ||||
261 | Business and Systems Analysts, and Programmers | ||||
2610 | Business and Systems Analysts, and Programmers nfd | ||||
261000 | Business and Systems Analysts, and Programmers nfd | ||||
2611 | ICT Business and Systems Analysts | ||||
261100 | ICT Business and Systems Analysts nfd | ||||
261111 | ICT Business Analyst | ||||
261112 | Systems Analyst | ||||
2612 | Multimedia Specialists and Web Developers | ||||
261200 | Multimedia Specialists and Web Developers nfd | ||||
261211 | Multimedia Specialist | ||||
261212 | Web Developer | ||||
2613 | Software and Applications Programmers | ||||
261300 | Software and Applications Programmers nfd | ||||
261311 | Analyst Programmer | ||||
261312 | Developer Programmer | ||||
261313 | Software Engineer | ||||
261314 | Software Tester | ||||
261399 | Software and Applications Programmers nec | ||||
262 | Database and Systems Administrators, and ICT Security Specialists | ||||
2621 | Database and Systems Administrators, and ICT Security Specialists | ||||
262100 | Database and Systems Administrators, and ICT Security Specialists nfd | ||||
262111 | Database Administrator | ||||
262112 | ICT Security Specialist | ||||
262113 | Systems Administrator | ||||
263 | ICT Network and Support Professionals | ||||
2630 | ICT Network and Support Professionals nfd | ||||
263000 | ICT Network and Support Professionals nfd | ||||
2631 | Computer Network Professionals | ||||
263100 | Computer Network Professionals nfd | ||||
263111 | Computer Network and Systems Engineer | ||||
263112 | Network Administrator | ||||
263113 | Network Analyst | ||||
2632 | ICT Support and Test Engineers | ||||
263200 | ICT Support and Test Engineers nfd | ||||
263211 | ICT Quality Assurance Engineer | ||||
263212 | ICT Support Engineer | ||||
263213 | ICT Systems Test Engineer | ||||
263299 | ICT Support and Test Engineers nec | ||||
2633 | Telecommunications Engineering Professionals | ||||
263300 | Telecommunications Engineering Professionals nfd | ||||
263311 | Telecommunications Engineer | ||||
263312 | Telecommunications Network Engineer | ||||
27 | Legal, Social and Welfare Professionals | ||||
270 | Legal, Social and Welfare Professionals nfd | ||||
2700 | Legal, Social and Welfare Professionals nfd | ||||
270000 | Legal, Social and Welfare Professionals nfd | ||||
271 | Legal Professionals | ||||
2710 | Legal Professionals nfd | ||||
271000 | Legal Professionals nfd | ||||
2711 | Barristers | ||||
271111 | Barrister | ||||
2712 | Judicial and Other Legal Professionals | ||||
271200 | Judicial and Other Legal Professionals nfd | ||||
271211 | Judge | ||||
271212 | Magistrate | ||||
271213 | Tribunal Member | ||||
271214 | Intellectual Property Lawyer | ||||
271299 | Judicial and Other Legal Professionals nec | ||||
2713 | Solicitors | ||||
271311 | Solicitor | ||||
272 | Social and Welfare Professionals | ||||
2720 | Social and Welfare Professionals nfd | ||||
272000 | Social and Welfare Professionals nfd | ||||
2721 | Counsellors | ||||
272100 | Counsellors nfd | ||||
272111 | Careers Counsellor | ||||
272112 | Drug and Alcohol Counsellor | ||||
272113 | Family and Marriage Counsellor | ||||
272114 | Rehabilitation Counsellor | ||||
272115 | Student Counsellor | ||||
272199 | Counsellors nec | ||||
2722 | Ministers of Religion | ||||
272211 | Minister of Religion | ||||
2723 | Psychologists | ||||
272300 | Psychologists nfd | ||||
272311 | Clinical Psychologist | ||||
272312 | Educational Psychologist | ||||
272313 | Organisational Psychologist | ||||
272314 | Psychotherapist | ||||
272399 | Psychologists nec | ||||
2724 | Social Professionals | ||||
272400 | Social Professionals nfd | ||||
272411 | Historian | ||||
272412 | Interpreter | ||||
272413 | Translator | ||||
272414 | Archaeologist | ||||
272499 | Social Professionals nec | ||||
2725 | Social Workers | ||||
272511 | Social Worker | ||||
2726 | Welfare, Recreation and Community Arts Workers | ||||
272600 | Welfare, Recreation and Community Arts Workers nfd | ||||
272611 | Community Arts Worker | ||||
272612 | Recreation Officer | ||||
272613 | Welfare Worker |
3 Technicians and Trades Workers
3 | Technicians and Trades Workers | ||||
30 | Technicians and Trades Workers nfd | ||||
300 | Technicians and Trades Workers nfd | ||||
3000 | Technicians and Trades Workers nfd | ||||
300000 | Technicians and Trades Workers nfd | ||||
31 | Engineering, ICT and Science Technicians | ||||
310 | Engineering, ICT and Science Technicians nfd | ||||
3100 | Engineering, ICT and Science Technicians nfd | ||||
310000 | Engineering, ICT and Science Technicians nfd | ||||
311 | Agricultural, Medical and Science Technicians | ||||
3110 | Agricultural, Medical and Science Technicians nfd | ||||
311000 | Agricultural, Medical and Science Technicians nfd | ||||
3111 | Agricultural Technicians | ||||
311111 | Agricultural Technician | ||||
3112 | Medical Technicians | ||||
311200 | Medical Technicians nfd | ||||
311211 | Anaesthetic Technician | ||||
311212 | Cardiac Technician | ||||
311213 | Medical Laboratory Technician | ||||
311214 | Operating Theatre Technician | ||||
311215 | Pharmacy Technician | ||||
311216 | Pathology Collector | ||||
311299 | Medical Technicians nec | ||||
3113 | Primary Products Inspectors | ||||
311300 | Primary Products Inspectors nfd | ||||
311311 | Fisheries Officer | ||||
311312 | Meat Inspector | ||||
311313 | Quarantine Officer | ||||
311399 | Primary Products Inspectors nec | ||||
3114 | Science Technicians | ||||
311400 | Science Technicians nfd | ||||
311411 | Chemistry Technician | ||||
311412 | Earth Science Technician | ||||
311413 | Life Science Technician | ||||
311414 | School Laboratory Technician | ||||
311415 | Hydrographer | ||||
311499 | Science Technicians nec | ||||
312 | Building and Engineering Technicians | ||||
3120 | Building and Engineering Technicians nfd | ||||
312000 | Building and Engineering Technicians nfd | ||||
3121 | Architectural, Building and Surveying Technicians | ||||
312100 | Architectural, Building and Surveying Technicians nfd | ||||
312111 | Architectural Draftsperson | ||||
312112 | Building Associate | ||||
312113 | Building Inspector | ||||
312114 | Construction Estimator | ||||
312115 | Plumbing Inspector | ||||
312116 | Surveying or Spatial Science Technician | ||||
312199 | Architectural, Building and Surveying Technicians nec | ||||
3122 | Civil Engineering Draftspersons and Technicians | ||||
312200 | Civil Engineering Draftspersons and Technicians nfd | ||||
312211 | Civil Engineering Draftsperson | ||||
312212 | Civil Engineering Technician | ||||
3123 | Electrical Engineering Draftspersons and Technicians | ||||
312300 | Electrical Engineering Draftspersons and Technicians nfd | ||||
312311 | Electrical Engineering Draftsperson | ||||
312312 | Electrical Engineering Technician | ||||
3124 | Electronic Engineering Draftspersons and Technicians | ||||
312400 | Electronic Engineering Draftspersons and Technicians nfd | ||||
312411 | Electronic Engineering Draftsperson | ||||
312412 | Electronic Engineering Technician | ||||
3125 | Mechanical Engineering Draftspersons and Technicians | ||||
312500 | Mechanical Engineering Draftspersons and Technicians nfd | ||||
312511 | Mechanical Engineering Draftsperson | ||||
312512 | Mechanical Engineering Technician | ||||
3126 | Safety Inspectors | ||||
312611 | Safety Inspector | ||||
3129 | Other Building and Engineering Technicians | ||||
312900 | Other Building and Engineering Technicians nfd | ||||
312911 | Maintenance Planner | ||||
312912 | Metallurgical or Materials Technician | ||||
312913 | Mine Deputy | ||||
312999 | Building and Engineering Technicians nec | ||||
313 | ICT and Telecommunications Technicians | ||||
3130 | ICT and Telecommunications Technicians nfd | ||||
313000 | ICT and Telecommunications Technicians nfd | ||||
3131 | ICT Support Technicians | ||||
313100 | ICT Support Technicians nfd | ||||
313111 | Hardware Technician | ||||
313112 | ICT Customer Support Officer | ||||
313113 | Web Administrator | ||||
313199 | ICT Support Technicians nec | ||||
3132 | Telecommunications Technical Specialists | ||||
313200 | Telecommunications Technical Specialists nfd | ||||
313211 | Radiocommunications Technician | ||||
313212 | Telecommunications Field Engineer | ||||
313213 | Telecommunications Network Planner | ||||
313214 | Telecommunications Technical Officer or Technologist | ||||
32 | Automotive and Engineering Trades Workers | ||||
320 | Automotive and Engineering Trades Workers nfd | ||||
3200 | Automotive and Engineering Trades Workers nfd | ||||
320000 | Automotive and Engineering Trades Workers nfd | ||||
321 | Automotive Electricians and Mechanics | ||||
3210 | Automotive Electricians and Mechanics nfd | ||||
321000 | Automotive Electricians and Mechanics nfd | ||||
3211 | Automotive Electricians | ||||
321111 | Automotive Electrician | ||||
3212 | Motor Mechanics | ||||
321200 | Motor Mechanics nfd | ||||
321211 | Motor Mechanic (General) | ||||
321212 | Diesel Motor Mechanic | ||||
321213 | Motorcycle Mechanic | ||||
321214 | Small Engine Mechanic | ||||
322 | Fabrication Engineering Trades Workers | ||||
3220 | Fabrication Engineering Trades Workers nfd | ||||
322000 | Fabrication Engineering Trades Workers nfd | ||||
3221 | Metal Casting, Forging and Finishing Trades Workers | ||||
322100 | Metal Casting, Forging and Finishing Trades Workers nfd | ||||
322111 | Blacksmith | ||||
322112 | Electroplater | ||||
322113 | Farrier | ||||
322114 | Metal Casting Trades Worker | ||||
322115 | Metal Polisher | ||||
3222 | Sheetmetal Trades Workers | ||||
322211 | Sheetmetal Trades Worker | ||||
3223 | Structural Steel and Welding Trades Workers | ||||
322300 | Structural Steel and Welding Trades Workers nfd | ||||
322311 | Metal Fabricator | ||||
322312 | Pressure Welder | ||||
322313 | Welder (First Class) | ||||
323 | Mechanical Engineering Trades Workers | ||||
3230 | Mechanical Engineering Trades Workers nfd | ||||
323000 | Mechanical Engineering Trades Workers nfd | ||||
3231 | Aircraft Maintenance Engineers | ||||
323100 | Aircraft Maintenance Engineers nfd | ||||
323111 | Aircraft Maintenance Engineer (Avionics) | ||||
323112 | Aircraft Maintenance Engineer (Mechanical) | ||||
323113 | Aircraft Maintenance Engineer (Structures) | ||||
3232 | Metal Fitters and Machinists | ||||
323200 | Metal Fitters and Machinists nfd | ||||
323211 | Fitter (General) | ||||
323212 | Fitter and Turner | ||||
323213 | Fitter-Welder | ||||
323214 | Metal Machinist (First Class) | ||||
323215 | Textile, Clothing and Footwear Mechanic | ||||
323299 | Metal Fitters and Machinists nec | ||||
3233 | Precision Metal Trades Workers | ||||
323300 | Precision Metal Trades Workers nfd | ||||
323311 | Engraver | ||||
323312 | Gunsmith | ||||
323313 | Locksmith | ||||
323314 | Precision Instrument Maker and Repairer | ||||
323315 | Saw Doctor | ||||
323316 | Watch and Clock Maker and Repairer | ||||
3234 | Toolmakers and Engineering Patternmakers | ||||
323400 | Toolmakers and Engineering Patternmakers nfd | ||||
323411 | Engineering Patternmaker | ||||
323412 | Toolmaker | ||||
324 | Panelbeaters, and Vehicle Body Builders, Trimmers and Painters | ||||
3240 | Panelbeaters, and Vehicle Body Builders, Trimmers and Painters nfd | ||||
324000 | Panelbeaters, and Vehicle Body Builders, Trimmers and Painters nfd | ||||
3241 | Panelbeaters | ||||
324111 | Panelbeater | ||||
3242 | Vehicle Body Builders and Trimmers | ||||
324200 | Vehicle Body Builders and Trimmers nfd | ||||
324211 | Vehicle Body Builder | ||||
324212 | Vehicle Trimmer | ||||
3243 | Vehicle Painters | ||||
324311 | Vehicle Painter | ||||
33 | Construction Trades Workers | ||||
330 | Construction Trades Workers nfd | ||||
3300 | Construction Trades Workers nfd | ||||
330000 | Construction Trades Workers nfd | ||||
331 | Bricklayers, and Carpenters and Joiners | ||||
3310 | Bricklayers, and Carpenters and Joiners nfd | ||||
331000 | Bricklayers, and Carpenters and Joiners nfd | ||||
3311 | Bricklayers and Stonemasons | ||||
331100 | Bricklayers and Stonemasons nfd | ||||
331111 | Bricklayer | ||||
331112 | Stonemason | ||||
3312 | Carpenters and Joiners | ||||
331211 | Carpenter and Joiner | ||||
331212 | Carpenter | ||||
331213 | Joiner | ||||
332 | Floor Finishers and Painting Trades Workers | ||||
3320 | Floor Finishers and Painting Trades Workers nfd | ||||
332000 | Floor Finishers and Painting Trades Workers nfd | ||||
3321 | Floor Finishers | ||||
332111 | Floor Finisher | ||||
3322 | Painting Trades Workers | ||||
332211 | Painting Trades Worker | ||||
333 | Glaziers, Plasterers and Tilers | ||||
3330 | Glaziers, Plasterers and Tilers nfd | ||||
333000 | Glaziers, Plasterers and Tilers nfd | ||||
3331 | Glaziers | ||||
333111 | Glazier | ||||
3332 | Plasterers | ||||
333200 | Plasterers nfd | ||||
333211 | Fibrous Plasterer | ||||
333212 | Solid Plasterer | ||||
3333 | Roof Tilers | ||||
333311 | Roof Tiler | ||||
3334 | Wall and Floor Tilers | ||||
333411 | Wall and Floor Tiler | ||||
334 | Plumbers | ||||
3341 | Plumbers | ||||
334100 | Plumbers nfd | ||||
334111 | Plumber (General) | ||||
334112 | Airconditioning and Mechanical Services Plumber | ||||
334113 | Drainer | ||||
334114 | Gasfitter | ||||
334115 | Roof Plumber | ||||
34 | Electrotechnology and Telecommunications Trades Workers | ||||
340 | Electrotechnology and Telecommunications Trades Workers nfd | ||||
3400 | Electrotechnology and Telecommunications Trades Workers nfd | ||||
340000 | Electrotechnology and Telecommunications Trades Workers nfd | ||||
341 | Electricians | ||||
3411 | Electricians | ||||
341100 | Electricians nfd | ||||
341111 | Electrician (General) | ||||
341112 | Electrician (Special Class) | ||||
341113 | Lift Mechanic | ||||
342 | Electronics and Telecommunications Trades Workers | ||||
3420 | Electronics and Telecommunications Trades Workers nfd | ||||
342000 | Electronics and Telecommunications Trades Workers nfd | ||||
3421 | Airconditioning and Refrigeration Mechanics | ||||
342111 | Airconditioning and Refrigeration Mechanic | ||||
3422 | Electrical Distribution Trades Workers | ||||
342200 | Electrical Distribution Trades Workers nfd | ||||
342211 | Electrical Linesworker | ||||
342212 | Technical Cable Jointer | ||||
3423 | Electronics Trades Workers | ||||
342300 | Electronics Trades Workers nfd | ||||
342311 | Business Machine Mechanic | ||||
342312 | Communications Operator | ||||
342313 | Electronic Equipment Trades Worker | ||||
342314 | Electronic Instrument Trades Worker (General) | ||||
342315 | Electronic Instrument Trades Worker (Special Class) | ||||
3424 | Telecommunications Trades Workers | ||||
342400 | Telecommunications Trades Workers nfd | ||||
342411 | Cabler (Data and Telecommunications) | ||||
342412 | Telecommunications Cable Jointer | ||||
342413 | Telecommunications Linesworker | ||||
342414 | Telecommunications Technician | ||||
35 | Food Trades Workers | ||||
351 | Food Trades Workers | ||||
3510 | Food Trades Workers nfd | ||||
351000 | Food Trades Workers nfd | ||||
3511 | Bakers and Pastrycooks | ||||
351100 | Bakers and Pastrycooks nfd | ||||
351111 | Baker | ||||
351112 | Pastrycook | ||||
3512 | Butchers and Smallgoods Makers | ||||
351211 | Butcher or Smallgoods Maker | ||||
3513 | Chefs | ||||
351311 | Chef | ||||
3514 | Cooks | ||||
351411 | Cook | ||||
36 | Skilled Animal and Horticultural Workers | ||||
360 | Skilled Animal and Horticultural Workers nfd | ||||
3600 | Skilled Animal and Horticultural Workers nfd | ||||
360000 | Skilled Animal and Horticultural Workers nfd | ||||
361 | Animal Attendants and Trainers, and Shearers | ||||
3610 | Animal Attendants and Trainers, and Shearers nfd | ||||
361000 | Animal Attendants and Trainers, and Shearers nfd | ||||
3611 | Animal Attendants and Trainers | ||||
361100 | Animal Attendants and Trainers nfd | ||||
361111 | Dog Handler or Trainer | ||||
361112 | Horse Trainer | ||||
361113 | Pet Groomer | ||||
361114 | Zookeeper | ||||
361115 | Kennel Hand | ||||
361199 | Animal Attendants and Trainers nec | ||||
3612 | Shearers | ||||
361211 | Shearer | ||||
3613 | Veterinary Nurses | ||||
361311 | Veterinary Nurse | ||||
362 | Horticultural Trades Workers | ||||
3620 | Horticultural Trades Workers nfd | ||||
362000 | Horticultural Trades Workers nfd | ||||
3621 | Florists | ||||
362111 | Florist | ||||
3622 | Gardeners | ||||
362200 | Gardeners nfd | ||||
362211 | Gardener (General) | ||||
362212 | Arborist | ||||
362213 | Landscape Gardener | ||||
3623 | Greenkeepers | ||||
362311 | Greenkeeper | ||||
3624 | Nurserypersons | ||||
362411 | Nurseryperson | ||||
39 | Other Technicians and Trades Workers | ||||
390 | Other Technicians and Trades Workers nfd | ||||
3900 | Other Technicians and Trades Workers nfd | ||||
390000 | Other Technicians and Trades Workers nfd | ||||
391 | Hairdressers | ||||
3911 | Hairdressers | ||||
391111 | Hairdresser | ||||
392 | Printing Trades Workers | ||||
3920 | Printing Trades Workers nfd | ||||
392000 | Printing Trades Workers nfd | ||||
3921 | Print Finishers and Screen Printers | ||||
392100 | Print Finishers and Screen Printers nfd | ||||
392111 | Print Finisher | ||||
392112 | Screen Printer | ||||
3922 | Graphic Pre-press Trades Workers | ||||
392211 | Graphic Pre-press Trades Worker | ||||
3923 | Printers | ||||
392300 | Printers nfd | ||||
392311 | Printing Machinist | ||||
392312 | Small Offset Printer | ||||
393 | Textile, Clothing and Footwear Trades Workers | ||||
3930 | Textile, Clothing and Footwear Trades Workers nfd | ||||
393000 | Textile, Clothing and Footwear Trades Workers nfd | ||||
3931 | Canvas and Leather Goods Makers | ||||
393100 | Canvas and Leather Goods Makers nfd | ||||
393111 | Canvas Goods Fabricator | ||||
393112 | Leather Goods Maker | ||||
393113 | Sail Maker | ||||
393114 | Shoemaker | ||||
3932 | Clothing Trades Workers | ||||
393200 | Clothing Trades Workers nfd | ||||
393211 | Apparel Cutter | ||||
393212 | Clothing Patternmaker | ||||
393213 | Dressmaker or Tailor | ||||
393299 | Clothing Trades Workers nec | ||||
3933 | Upholsterers | ||||
393311 | Upholsterer | ||||
394 | Wood Trades Workers | ||||
3940 | Wood Trades Workers nfd | ||||
394000 | Wood Trades Workers nfd | ||||
3941 | Cabinetmakers | ||||
394111 | Cabinetmaker | ||||
3942 | Wood Machinists and Other Wood Trades Workers | ||||
394200 | Wood Machinists and Other Wood Trades Workers nfd | ||||
394211 | Furniture Finisher | ||||
394212 | Picture Framer | ||||
394213 | Wood Machinist | ||||
394214 | Wood Turner | ||||
394299 | Wood Machinists and Other Wood Trades Workers nec | ||||
399 | Miscellaneous Technicians and Trades Workers | ||||
3990 | Miscellaneous Technicians and Trades Workers nfd | ||||
399000 | Miscellaneous Technicians and Trades Workers nfd | ||||
3991 | Boat Builders and Shipwrights | ||||
399100 | Boat Builders and Shipwrights nfd | ||||
399111 | Boat Builder and Repairer | ||||
399112 | Shipwright | ||||
3992 | Chemical, Gas, Petroleum and Power Generation Plant Operators | ||||
399200 | Chemical, Gas, Petroleum and Power Generation Plant Operators nfd | ||||
399211 | Chemical Plant Operator | ||||
399212 | Gas or Petroleum Operator | ||||
399213 | Power Generation Plant Operator | ||||
3993 | Gallery, Library and Museum Technicians | ||||
399300 | Gallery, Library and Museum Technicians nfd | ||||
399311 | Gallery or Museum Technician | ||||
399312 | Library Technician | ||||
3994 | Jewellers | ||||
399411 | Jeweller | ||||
3995 | Performing Arts Technicians | ||||
399500 | Performing Arts Technicians nfd | ||||
399511 | Broadcast Transmitter Operator | ||||
399512 | Camera Operator (Film, Television or Video) | ||||
399513 | Light Technician | ||||
399514 | Make Up Artist | ||||
399515 | Musical Instrument Maker or Repairer | ||||
399516 | Sound Technician | ||||
399517 | Television Equipment Operator | ||||
399599 | Performing Arts Technicians nec | ||||
3996 | Signwriters | ||||
399611 | Signwriter | ||||
3999 | Other Miscellaneous Technicians and Trades Workers | ||||
399900 | Other Miscellaneous Technicians and Trades Workers nfd | ||||
399911 | Diver | ||||
399912 | Interior Decorator | ||||
399913 | Optical Dispenser | ||||
399914 | Optical Mechanic | ||||
399915 | Photographer's Assistant | ||||
399916 | Plastics Technician | ||||
399917 | Wool Classer | ||||
399918 | Fire Protection Equipment Technician | ||||
399999 | Technicians and Trades Workers nec |
4 Community And Personal Service Workers
4 | Community And Personal Service Workers | ||||
40 | Community and Personal Service Workers nfd | ||||
400 | Community and Personal Service Workers nfd | ||||
4000 | Community and Personal Service Workers nfd | ||||
400000 | Community and Personal Service Workers nfd | ||||
41 | Health and Welfare Support Workers | ||||
411 | Health and Welfare Support Workers | ||||
4110 | Health and Welfare Support Workers nfd | ||||
411000 | Health and Welfare Support Workers nfd | ||||
4111 | Ambulance Officers and Paramedics | ||||
411100 | Ambulance Officers and Paramedics nfd | ||||
411111 | Ambulance Officer | ||||
411112 | Intensive Care Ambulance Paramedic | ||||
4112 | Dental Hygienists, Technicians and Therapists | ||||
411200 | Dental Hygienists, Technicians and Therapists nfd | ||||
411211 | Dental Hygienist | ||||
411212 | Dental Prosthetist | ||||
411213 | Dental Technician | ||||
411214 | Dental Therapist | ||||
4113 | Diversional Therapists | ||||
411311 | Diversional Therapist | ||||
4114 | Enrolled and Mothercraft Nurses | ||||
411400 | Enrolled and Mothercraft Nurses nfd | ||||
411411 | Enrolled Nurse | ||||
411412 | Mothercraft Nurse | ||||
4115 | Indigenous Health Workers | ||||
411511 | Aboriginal and Torres Strait Islander Health Worker | ||||
4116 | Massage Therapists | ||||
411611 | Massage Therapist | ||||
4117 | Welfare Support Workers | ||||
411700 | Welfare Support Workers nfd | ||||
411711 | Community Worker | ||||
411712 | Disabilities Services Officer | ||||
411713 | Family Support Worker | ||||
411714 | Parole or Probation Officer | ||||
411715 | Residential Care Officer | ||||
411716 | Youth Worker | ||||
42 | Carers and Aides | ||||
420 | Carers and Aides nfd | ||||
4200 | Carers and Aides nfd | ||||
420000 | Carers and Aides nfd | ||||
421 | Child Carers | ||||
4211 | Child Carers | ||||
421100 | Child Carers nfd | ||||
421111 | Child Care Worker | ||||
421112 | Family Day Care Worker | ||||
421113 | Nanny | ||||
421114 | Out of School Hours Care Worker | ||||
422 | Education Aides | ||||
4221 | Education Aides | ||||
422100 | Education Aides nfd | ||||
422111 | Aboriginal and Torres Strait Islander Education Worker | ||||
422112 | Integration Aide | ||||
422115 | Preschool Aide | ||||
422116 | Teachers' Aide | ||||
423 | Personal Carers and Assistants | ||||
4230 | Personal Carers and Assistants nfd | ||||
423000 | Personal Carers and Assistants nfd | ||||
4231 | Aged and Disabled Carers | ||||
423111 | Aged or Disabled Carer | ||||
4232 | Dental Assistants | ||||
423211 | Dental Assistant | ||||
4233 | Nursing Support and Personal Care Workers | ||||
423300 | Nursing Support and Personal Care Workers nfd | ||||
423311 | Hospital Orderly | ||||
423312 | Nursing Support Worker | ||||
423313 | Personal Care Assistant | ||||
423314 | Therapy Aide | ||||
4234 | Special Care Workers | ||||
423400 | Special Care Workers nfd | ||||
423411 | Child or Youth Residential Care Assistant | ||||
423412 | Hostel Parent | ||||
423413 | Refuge Worker | ||||
43 | Hospitality Workers | ||||
431 | Hospitality Workers | ||||
4310 | Hospitality Workers nfd | ||||
431000 | Hospitality Workers nfd | ||||
4311 | Bar Attendants and Baristas | ||||
431100 | Bar Attendants and Baristas nfd | ||||
431111 | Bar Attendant | ||||
431112 | Barista | ||||
4312 | Cafe Workers | ||||
431211 | Cafe Worker | ||||
4313 | Gaming Workers | ||||
431311 | Gaming Worker | ||||
4314 | Hotel Service Managers | ||||
431411 | Hotel Service Manager | ||||
4315 | Waiters | ||||
431511 | Waiter | ||||
4319 | Other Hospitality Workers | ||||
431900 | Other Hospitality Workers nfd | ||||
431911 | Bar Useful or Busser | ||||
431912 | Doorperson or Luggage Porter | ||||
431999 | Hospitality Workers nec | ||||
44 | Protective Service Workers | ||||
440 | Protective Service Workers nfd | ||||
4400 | Protective Service Workers nfd | ||||
440000 | Protective Service Workers nfd | ||||
441 | Defence Force Members, Fire Fighters and Police | ||||
4410 | Defence Force Members, Fire Fighters and Police nfd | ||||
441000 | Defence Force Members, Fire Fighters and Police nfd | ||||
4411 | Defence Force Members - Other Ranks | ||||
441111 | Defence Force Member - Other Ranks | ||||
4412 | Fire and Emergency Workers | ||||
441200 | Fire and Emergency Workers nfd | ||||
441211 | Emergency Service Worker | ||||
441212 | Fire Fighter | ||||
4413 | Police | ||||
441300 | Police nfd | ||||
441311 | Detective | ||||
441312 | Police Officer | ||||
442 | Prison and Security Officers | ||||
4420 | Prison and Security Officers nfd | ||||
442000 | Prison and Security Officers nfd | ||||
4421 | Prison Officers | ||||
442111 | Prison Officer | ||||
4422 | Security Officers and Guards | ||||
442200 | Security Officers and Guards nfd | ||||
442211 | Alarm, Security or Surveillance Monitor | ||||
442212 | Armoured Car Escort | ||||
442213 | Crowd Controller | ||||
442214 | Private Investigator | ||||
442215 | Retail Loss Prevention Officer | ||||
442216 | Security Consultant | ||||
442217 | Security Officer | ||||
442299 | Security Officers and Guards nec | ||||
45 | Sports and Personal Service Workers | ||||
450 | Sports and Personal Service Workers nfd | ||||
4500 | Sports and Personal Service Workers nfd | ||||
450000 | Sports and Personal Service Workers nfd | ||||
451 | Personal Service and Travel Workers | ||||
4510 | Personal Service and Travel Workers nfd | ||||
451000 | Personal Service and Travel Workers nfd | ||||
4511 | Beauty Therapists | ||||
451111 | Beauty Therapist | ||||
4512 | Driving Instructors | ||||
451211 | Driving Instructor | ||||
4513 | Funeral Workers | ||||
451300 | Funeral Workers nfd | ||||
451311 | Funeral Director | ||||
451399 | Funeral Workers nec | ||||
4514 | Gallery, Museum and Tour Guides | ||||
451400 | Gallery, Museum and Tour Guides nfd | ||||
451411 | Gallery or Museum Guide | ||||
451412 | Tour Guide | ||||
4515 | Personal Care Consultants | ||||
451500 | Personal Care Consultants nfd | ||||
451511 | Natural Remedy Consultant | ||||
451512 | Weight Loss Consultant | ||||
451513 | Herbalist (Western) | ||||
4516 | Tourism and Travel Advisers | ||||
451600 | Tourism and Travel Advisers nfd | ||||
451611 | Tourist Information Officer | ||||
451612 | Travel Consultant | ||||
4517 | Travel Attendants | ||||
451700 | Travel Attendants nfd | ||||
451711 | Flight Attendant | ||||
451799 | Travel Attendants nec | ||||
4518 | Other Personal Service Workers | ||||
451800 | Other Personal Service Workers nfd | ||||
451811 | Civil Celebrant | ||||
451812 | Hair or Beauty Salon Assistant | ||||
451813 | Sex Worker or Escort | ||||
451814 | Body Artist | ||||
451815 | First Aid Trainer | ||||
451816 | Religious Assistant | ||||
451899 | Personal Service Workers nec | ||||
452 | Sports and Fitness Workers | ||||
4520 | Sports and Fitness Workers nfd | ||||
452000 | Sports and Fitness Workers nfd | ||||
4521 | Fitness Instructors | ||||
452111 | Fitness Instructor | ||||
4522 | Outdoor Adventure Guides | ||||
452200 | Outdoor Adventure Guides nfd | ||||
452211 | Bungy Jump Master | ||||
452212 | Fishing Guide | ||||
452213 | Hunting Guide | ||||
452214 | Mountain or Glacier Guide | ||||
452215 | Outdoor Adventure Instructor | ||||
452216 | Trekking Guide | ||||
452217 | Whitewater Rafting Guide | ||||
452299 | Outdoor Adventure Guides nec | ||||
4523 | Sports Coaches, Instructors and Officials | ||||
452300 | Sports Coaches, Instructors and Officials nfd | ||||
452311 | Diving Instructor (Open Water) | ||||
452312 | Gymnastics Coach or Instructor | ||||
452313 | Horse Riding Coach or Instructor | ||||
452314 | Snowsport Instructor | ||||
452315 | Swimming Coach or Instructor | ||||
452316 | Tennis Coach | ||||
452317 | Other Sports Coach or Instructor | ||||
452318 | Dog or Horse Racing Official | ||||
452321 | Sports Development Officer | ||||
452322 | Sports Umpire | ||||
452323 | Other Sports Official | ||||
4524 | Sportspersons | ||||
452400 | Sportspersons nfd | ||||
452411 | Footballer | ||||
452412 | Golfer | ||||
452413 | Jockey | ||||
452414 | Lifeguard | ||||
452499 | Sportspersons nec |
5 Clerical And Administrative Workers
5 | Clerical And Administrative Workers | ||||
50 | Clerical and Administrative Workers nfd | ||||
500 | Clerical and Administrative Workers nfd | ||||
5000 | Clerical and Administrative Workers nfd | ||||
500000 | Clerical and Administrative Workers nfd | ||||
51 | Office Managers and Program Administrators | ||||
510 | Office Managers and Program Administrators nfd | ||||
5100 | Office Managers and Program Administrators nfd | ||||
510000 | Office Managers and Program Administrators nfd | ||||
511 | Contract, Program and Project Administrators | ||||
5111 | Contract, Program and Project Administrators | ||||
511100 | Contract, Program and Project Administrators nfd | ||||
511111 | Contract Administrator | ||||
511112 | Program or Project Administrator | ||||
512 | Office and Practice Managers | ||||
5120 | Office and Practice Managers nfd | ||||
512000 | Office and Practice Managers nfd | ||||
5121 | Office Managers | ||||
512111 | Office Manager | ||||
5122 | Practice Managers | ||||
512200 | Practice Managers nfd | ||||
512211 | Health Practice Manager | ||||
512299 | Practice Managers nec | ||||
52 | Personal Assistants and Secretaries | ||||
521 | Personal Assistants and Secretaries | ||||
5210 | Personal Assistants and Secretaries nfd | ||||
521000 | Personal Assistants and Secretaries nfd | ||||
5211 | Personal Assistants | ||||
521111 | Personal Assistant | ||||
5212 | Secretaries | ||||
521200 | Secretaries nfd | ||||
521211 | Secretary (General) | ||||
521212 | Legal Secretary | ||||
53 | General Clerical Workers | ||||
530 | General Clerical Workers nfd | ||||
5300 | General Clerical Workers nfd | ||||
530000 | General Clerical Workers nfd | ||||
531 | General Clerks | ||||
5311 | General Clerks | ||||
531111 | General Clerk | ||||
532 | Keyboard Operators | ||||
5321 | Keyboard Operators | ||||
532100 | Keyboard Operators nfd | ||||
532111 | Data Entry Operator | ||||
532112 | Machine Shorthand Reporter | ||||
532113 | Word Processing Operator | ||||
54 | Inquiry Clerks and Receptionists | ||||
540 | Inquiry Clerks and Receptionists nfd | ||||
5400 | Inquiry Clerks and Receptionists nfd | ||||
540000 | Inquiry Clerks and Receptionists nfd | ||||
541 | Call or Contact Centre Information Clerks | ||||
5410 | Call or Contact Centre Information Clerks nfd | ||||
541000 | Call or Contact Centre Information Clerks nfd | ||||
5411 | Call or Contact Centre Workers | ||||
541100 | Call or Contact Centre Workers nfd | ||||
541111 | Call or Contact Centre Team Leader | ||||
541112 | Call or Contact Centre Operator | ||||
5412 | Information Officers | ||||
541211 | Information Officer | ||||
542 | Receptionists | ||||
5421 | Receptionists | ||||
542100 | Receptionists nfd | ||||
542111 | Receptionist (General) | ||||
542112 | Admissions Clerk | ||||
542113 | Hotel or Motel Receptionist | ||||
542114 | Medical Receptionist | ||||
55 | Numerical Clerks | ||||
550 | Numerical Clerks nfd | ||||
5500 | Numerical Clerks nfd | ||||
550000 | Numerical Clerks nfd | ||||
551 | Accounting Clerks and Bookkeepers | ||||
5510 | Accounting Clerks and Bookkeepers nfd | ||||
551000 | Accounting Clerks and Bookkeepers nfd | ||||
5511 | Accounting Clerks | ||||
551100 | Accounting Clerks nfd | ||||
551111 | Accounts Clerk | ||||
551112 | Cost Clerk | ||||
5512 | Bookkeepers | ||||
551211 | Bookkeeper | ||||
5513 | Payroll Clerks | ||||
551311 | Payroll Clerk | ||||
552 | Financial and Insurance Clerks | ||||
5520 | Financial and Insurance Clerks nfd | ||||
552000 | Financial and Insurance Clerks nfd | ||||
5521 | Bank Workers | ||||
552111 | Bank Worker | ||||
5522 | Credit and Loans Officers | ||||
552211 | Credit or Loans Officer | ||||
5523 | Insurance, Money Market and Statistical Clerks | ||||
552300 | Insurance, Money Market and Statistical Clerks nfd | ||||
552311 | Bookmaker | ||||
552312 | Insurance Consultant | ||||
552313 | Money Market Clerk | ||||
552314 | Statistical Clerk | ||||
56 | Clerical and Office Support Workers | ||||
561 | Clerical and Office Support Workers | ||||
5610 | Clerical and Office Support Workers nfd | ||||
561000 | Clerical and Office Support Workers nfd | ||||
5611 | Betting Clerks | ||||
561100 | Betting Clerks nfd | ||||
561111 | Betting Agency Counter Clerk | ||||
561112 | Bookmaker's Clerk | ||||
561113 | Telephone Betting Clerk | ||||
561199 | Betting Clerks nec | ||||
5612 | Couriers and Postal Deliverers | ||||
561200 | Couriers and Postal Deliverers nfd | ||||
561211 | Courier | ||||
561212 | Postal Delivery Officer | ||||
5613 | Filing and Registry Clerks | ||||
561311 | Filing or Registry Clerk | ||||
5614 | Mail Sorters | ||||
561400 | Mail Sorters nfd | ||||
561411 | Mail Clerk | ||||
561412 | Postal Sorting Officer | ||||
5615 | Survey Interviewers | ||||
561511 | Survey Interviewer | ||||
5616 | Switchboard Operators | ||||
561611 | Switchboard Operator | ||||
5619 | Other Clerical and Office Support Workers | ||||
561900 | Other Clerical and Office Support Workers nfd | ||||
561911 | Classified Advertising Clerk | ||||
561912 | Meter Reader | ||||
561913 | Parking Inspector | ||||
561999 | Clerical and Office Support Workers nec | ||||
59 | Other Clerical and Administrative Workers | ||||
590 | Other Clerical and Administrative Workers nfd | ||||
5900 | Other Clerical and Administrative Workers nfd | ||||
590000 | Other Clerical and Administrative Workers nfd | ||||
591 | Logistics Clerks | ||||
5910 | Logistics Clerks nfd | ||||
591000 | Logistics Clerks nfd | ||||
5911 | Purchasing and Supply Logistics Clerks | ||||
591100 | Purchasing and Supply Logistics Clerks nfd | ||||
591112 | Production Clerk | ||||
591113 | Purchasing Officer | ||||
591115 | Stock Clerk | ||||
591116 | Warehouse Administrator | ||||
591117 | Order Clerk | ||||
5912 | Transport and Despatch Clerks | ||||
591200 | Transport and Despatch Clerks nfd | ||||
591211 | Despatching and Receiving Clerk | ||||
591212 | Import-Export Clerk | ||||
599 | Miscellaneous Clerical and Administrative Workers | ||||
5990 | Miscellaneous Clerical and Administrative Workers nfd | ||||
599000 | Miscellaneous Clerical and Administrative Workers nfd | ||||
5991 | Conveyancers and Legal Executives | ||||
599100 | Conveyancers and Legal Executives nfd | ||||
599111 | Conveyancer | ||||
599112 | Legal Executive | ||||
5992 | Court and Legal Clerks | ||||
599200 | Court and Legal Clerks nfd | ||||
599211 | Clerk of Court | ||||
599212 | Court Bailiff or Sheriff | ||||
599213 | Court Orderly | ||||
599214 | Law Clerk | ||||
599215 | Trust Officer | ||||
5993 | Debt Collectors | ||||
599311 | Debt Collector | ||||
5994 | Human Resource Clerks | ||||
599411 | Human Resource Clerk | ||||
5995 | Inspectors and Regulatory Officers | ||||
599500 | Inspectors and Regulatory Officers nfd | ||||
599511 | Customs Officer | ||||
599512 | Immigration Officer | ||||
599513 | Motor Vehicle Licence Examiner | ||||
599514 | Noxious Weeds and Pest Inspector | ||||
599515 | Social Security Assessor | ||||
599516 | Taxation Inspector | ||||
599517 | Train Examiner | ||||
599518 | Transport Operations Inspector | ||||
599521 | Water Inspector | ||||
599599 | Inspectors and Regulatory Officers nec | ||||
5996 | Insurance Investigators, Loss Adjusters and Risk Surveyors | ||||
599600 | Insurance Investigators, Loss Adjusters and Risk Surveyors nfd | ||||
599611 | Insurance Investigator | ||||
599612 | Insurance Loss Adjuster | ||||
599613 | Insurance Risk Surveyor | ||||
5997 | Library Assistants | ||||
599711 | Library Assistant | ||||
5999 | Other Miscellaneous Clerical and Administrative Workers | ||||
599900 | Other Miscellaneous Clerical and Administrative Workers nfd | ||||
599912 | Production Assistant (Film, Television, Radio or Stage) | ||||
599913 | Proof Reader | ||||
599914 | Radio Despatcher | ||||
599915 | Clinical Coder | ||||
599916 | Facilities Administrator | ||||
599999 | Clerical and Administrative Workers nec |
6 Sales Workers
6 | Sales Workers | ||||
60 | Sales Workers nfd | ||||
600 | Sales Workers nfd | ||||
6000 | Sales Workers nfd | ||||
600000 | Sales Workers nfd | ||||
61 | Sales Representatives and Agents | ||||
610 | Sales Representatives and Agents nfd | ||||
6100 | Sales Representatives and Agents nfd | ||||
610000 | Sales Representatives and Agents nfd | ||||
611 | Insurance Agents and Sales Representatives | ||||
6110 | Insurance Agents and Sales Representatives nfd | ||||
611000 | Insurance Agents and Sales Representatives nfd | ||||
6111 | Auctioneers, and Stock and Station Agents | ||||
611100 | Auctioneers, and Stock and Station Agents nfd | ||||
611111 | Auctioneer | ||||
611112 | Stock and Station Agent | ||||
6112 | Insurance Agents | ||||
611211 | Insurance Agent | ||||
6113 | Sales Representatives | ||||
611300 | Sales Representatives nfd | ||||
611311 | Sales Representative (Building and Plumbing Supplies) | ||||
611312 | Sales Representative (Business Services) | ||||
611313 | Sales Representative (Motor Vehicle Parts and Accessories) | ||||
611314 | Sales Representative (Personal and Household Goods) | ||||
611399 | Sales Representatives nec | ||||
612 | Real Estate Sales Agents | ||||
6121 | Real Estate Sales Agents | ||||
612100 | Real Estate Sales Agents nfd | ||||
612111 | Business Broker | ||||
612112 | Property Manager | ||||
612113 | Real Estate Agency Principal | ||||
612114 | Real Estate Agent | ||||
612115 | Real Estate Representative | ||||
62 | Sales Assistants and Salespersons | ||||
621 | Sales Assistants and Salespersons | ||||
6210 | Sales Assistants and Salespersons nfd | ||||
621000 | Sales Assistants and Salespersons nfd | ||||
6211 | Sales Assistants (General) | ||||
621111 | Sales Assistant (General) | ||||
6212 | ICT Sales Assistants | ||||
621211 | ICT Sales Assistant | ||||
6213 | Motor Vehicle and Vehicle Parts Salespersons | ||||
621300 | Motor Vehicle and Vehicle Parts Salespersons nfd | ||||
621311 | Motor Vehicle or Caravan Salesperson | ||||
621312 | Motor Vehicle Parts Interpreter | ||||
6214 | Pharmacy Sales Assistants | ||||
621411 | Pharmacy Sales Assistant | ||||
6215 | Retail Supervisors | ||||
621511 | Retail Supervisor | ||||
6216 | Service Station Attendants | ||||
621611 | Service Station Attendant | ||||
6217 | Street Vendors and Related Salespersons | ||||
621700 | Street Vendors and Related Salespersons nfd | ||||
621711 | Cash Van Salesperson | ||||
621712 | Door-to-door Salesperson | ||||
621713 | Street Vendor | ||||
6219 | Other Sales Assistants and Salespersons | ||||
621900 | Other Sales Assistants and Salespersons nfd | ||||
621911 | Materials Recycler | ||||
621912 | Rental Salesperson | ||||
621999 | Sales Assistants and Salespersons nec | ||||
63 | Sales Support Workers | ||||
630 | Sales Support Workers nfd | ||||
6300 | Sales Support Workers nfd | ||||
630000 | Sales Support Workers nfd | ||||
631 | Checkout Operators and Office Cashiers | ||||
6311 | Checkout Operators and Office Cashiers | ||||
631100 | Checkout Operators and Office Cashiers nfd | ||||
631111 | Checkout Operator | ||||
631112 | Office Cashier | ||||
639 | Miscellaneous Sales Support Workers | ||||
6390 | Miscellaneous Sales Support Workers nfd | ||||
639000 | Miscellaneous Sales Support Workers nfd | ||||
6391 | Models and Sales Demonstrators | ||||
639100 | Models and Sales Demonstrators nfd | ||||
639111 | Model | ||||
639112 | Sales Demonstrator | ||||
6392 | Retail and Wool Buyers | ||||
639200 | Retail and Wool Buyers nfd | ||||
639211 | Retail Buyer | ||||
639212 | Wool Buyer | ||||
6393 | Telemarketers | ||||
639311 | Telemarketer | ||||
6394 | Ticket Salespersons | ||||
639400 | Ticket Salespersons nfd | ||||
639411 | Ticket Seller | ||||
639412 | Transport Conductor | ||||
6395 | Visual Merchandisers | ||||
639511 | Visual Merchandiser | ||||
6399 | Other Sales Support Workers | ||||
639911 | Other Sales Support Worker |
7 Machinery Operators and Drivers
7 | Machinery Operators and Drivers | ||||
70 | Machinery Operators and Drivers nfd | ||||
700 | Machinery Operators and Drivers nfd | ||||
7000 | Machinery Operators and Drivers nfd | ||||
700000 | Machinery Operators and Drivers nfd | ||||
71 | Machine and Stationary Plant Operators | ||||
710 | Machine and Stationary Plant Operators nfd | ||||
7100 | Machine and Stationary Plant Operators nfd | ||||
710000 | Machine and Stationary Plant Operators nfd | ||||
711 | Machine Operators | ||||
7110 | Machine Operators nfd | ||||
711000 | Machine Operators nfd | ||||
7111 | Clay, Concrete, Glass and Stone Processing Machine Operators | ||||
711100 | Clay, Concrete, Glass and Stone Processing Machine Operators nfd | ||||
711111 | Clay Products Machine Operator | ||||
711112 | Concrete Products Machine Operator | ||||
711113 | Glass Production Machine Operator | ||||
711114 | Stone Processing Machine Operator | ||||
711199 | Clay, Concrete, Glass and Stone Processing Machine Operators nec | ||||
7112 | Industrial Spraypainters | ||||
711211 | Industrial Spraypainter | ||||
7113 | Paper and Wood Processing Machine Operators | ||||
711300 | Paper and Wood Processing Machine Operators nfd | ||||
711311 | Paper Products Machine Operator | ||||
711313 | Sawmilling Operator | ||||
711314 | Other Wood Processing Machine Operator | ||||
7114 | Photographic Developers and Printers | ||||
711411 | Photographic Developer and Printer | ||||
7115 | Plastics and Rubber Production Machine Operators | ||||
711500 | Plastics and Rubber Production Machine Operators nfd | ||||
711511 | Plastic Cablemaking Machine Operator | ||||
711512 | Plastic Compounding and Reclamation Machine Operator | ||||
711513 | Plastics Fabricator or Welder | ||||
711514 | Plastics Production Machine Operator (General) | ||||
711515 | Reinforced Plastic and Composite Production Worker | ||||
711516 | Rubber Production Machine Operator | ||||
711599 | Plastics and Rubber Production Machine Operators nec | ||||
7116 | Sewing Machinists | ||||
711611 | Sewing Machinist | ||||
7117 | Textile and Footwear Production Machine Operators | ||||
711700 | Textile and Footwear Production Machine Operators nfd | ||||
711711 | Footwear Production Machine Operator | ||||
711712 | Hide and Skin Processing Machine Operator | ||||
711713 | Knitting Machine Operator | ||||
711714 | Textile Dyeing and Finishing Machine Operator | ||||
711715 | Weaving Machine Operator | ||||
711716 | Yarn Carding and Spinning Machine Operator | ||||
711799 | Textile and Footwear Production Machine Operators nec | ||||
7119 | Other Machine Operators | ||||
711900 | Other Machine Operators nfd | ||||
711911 | Chemical Production Machine Operator | ||||
711912 | Motion Picture Projectionist | ||||
711913 | Sand Blaster | ||||
711914 | Sterilisation Technician | ||||
711999 | Machine Operators nec | ||||
712 | Stationary Plant Operators | ||||
7120 | Stationary Plant Operators nfd | ||||
712000 | Stationary Plant Operators nfd | ||||
7121 | Crane, Hoist and Lift Operators | ||||
712111 | Crane, Hoist or Lift Operator | ||||
7122 | Drillers, Miners and Shot Firers | ||||
712200 | Drillers, Miners and Shot Firers nfd | ||||
712211 | Driller | ||||
712212 | Miner | ||||
712213 | Shot Firer | ||||
7123 | Engineering Production Workers | ||||
712311 | Engineering Production Worker | ||||
7129 | Other Stationary Plant Operators | ||||
712900 | Other Stationary Plant Operators nfd | ||||
712911 | Boiler or Engine Operator | ||||
712912 | Bulk Materials Handling Plant Operator | ||||
712913 | Cement Production Plant Operator | ||||
712914 | Concrete Batching Plant Operator | ||||
712915 | Concrete Pump Operator | ||||
712916 | Paper and Pulp Mill Operator | ||||
712917 | Railway Signal Operator | ||||
712918 | Train Controller | ||||
712921 | Waste Water or Water Plant Operator | ||||
712922 | Weighbridge Operator | ||||
712999 | Stationary Plant Operators nec | ||||
72 | Mobile Plant Operators | ||||
721 | Mobile Plant Operators | ||||
7210 | Mobile Plant Operators nfd | ||||
721000 | Mobile Plant Operators nfd | ||||
7211 | Agricultural, Forestry and Horticultural Plant Operators | ||||
721100 | Agricultural, Forestry and Horticultural Plant Operators nfd | ||||
721111 | Agricultural and Horticultural Mobile Plant Operator | ||||
721112 | Logging Plant Operator | ||||
7212 | Earthmoving Plant Operators | ||||
721200 | Earthmoving Plant Operators nfd | ||||
721211 | Earthmoving Plant Operator (General) | ||||
721212 | Backhoe Operator | ||||
721213 | Bulldozer Operator | ||||
721214 | Excavator Operator | ||||
721215 | Grader Operator | ||||
721216 | Loader Operator | ||||
7213 | Forklift Drivers | ||||
721311 | Forklift Driver | ||||
7219 | Other Mobile Plant Operators | ||||
721900 | Other Mobile Plant Operators nfd | ||||
721911 | Aircraft Baggage Handler and Airline Ground Crew | ||||
721912 | Linemarker | ||||
721913 | Paving Plant Operator | ||||
721914 | Railway Track Plant Operator | ||||
721915 | Road Roller Operator | ||||
721916 | Streetsweeper Operator | ||||
721999 | Mobile Plant Operators nec | ||||
73 | Road and Rail Drivers | ||||
730 | Road and Rail Drivers nfd | ||||
7300 | Road and Rail Drivers nfd | ||||
730000 | Road and Rail Drivers nfd | ||||
731 | Automobile, Bus and Rail Drivers | ||||
7310 | Automobile, Bus and Rail Drivers nfd | ||||
731000 | Automobile, Bus and Rail Drivers nfd | ||||
7311 | Automobile Drivers | ||||
731100 | Automobile Drivers nfd | ||||
731111 | Chauffeur | ||||
731112 | Taxi Driver | ||||
731199 | Automobile Drivers nec | ||||
7312 | Bus and Coach Drivers | ||||
731200 | Bus and Coach Drivers nfd | ||||
731211 | Bus Driver | ||||
731212 | Charter and Tour Bus Driver | ||||
731213 | Passenger Coach Driver | ||||
7313 | Train and Tram Drivers | ||||
731300 | Train and Tram Drivers nfd | ||||
731311 | Train Driver | ||||
731312 | Tram Driver | ||||
732 | Delivery Drivers | ||||
7321 | Delivery Drivers | ||||
732111 | Delivery Driver | ||||
733 | Truck Drivers | ||||
7331 | Truck Drivers | ||||
733100 | Truck Drivers nfd | ||||
733111 | Truck Driver (General) | ||||
733112 | Aircraft Refueller | ||||
733113 | Furniture Removalist | ||||
733114 | Tanker Driver | ||||
733115 | Tow Truck Driver | ||||
74 | Storepersons | ||||
741 | Storepersons | ||||
7411 | Storepersons | ||||
741111 | Storeperson |
8 Labourers
8 | Labourers | ||||
80 | Labourers nfd | ||||
800 | Labourers nfd | ||||
8000 | Labourers nfd | ||||
800000 | Labourers nfd | ||||
81 | Cleaners and Laundry Workers | ||||
811 | Cleaners and Laundry Workers | ||||
8110 | Cleaners and Laundry Workers nfd | ||||
811000 | Cleaners and Laundry Workers nfd | ||||
8111 | Car Detailers | ||||
811111 | Car Detailer | ||||
8112 | Commercial Cleaners | ||||
811211 | Commercial Cleaner | ||||
8113 | Domestic Cleaners | ||||
811311 | Domestic Cleaner | ||||
8114 | Housekeepers | ||||
811400 | Housekeepers nfd | ||||
811411 | Commercial Housekeeper | ||||
811412 | Domestic Housekeeper | ||||
8115 | Laundry Workers | ||||
811500 | Laundry Workers nfd | ||||
811511 | Laundry Worker (General) | ||||
811512 | Drycleaner | ||||
811513 | Ironer or Presser | ||||
8116 | Other Cleaners | ||||
811600 | Other Cleaners nfd | ||||
811611 | Carpet Cleaner | ||||
811612 | Window Cleaner | ||||
811699 | Cleaners nec | ||||
82 | Construction and Mining Labourers | ||||
821 | Construction and Mining Labourers | ||||
8210 | Construction and Mining Labourers nfd | ||||
821000 | Construction and Mining Labourers nfd | ||||
8211 | Building and Plumbing Labourers | ||||
821100 | Building and Plumbing Labourers nfd | ||||
821111 | Builder's Labourer | ||||
821112 | Drainage, Sewerage and Stormwater Labourer | ||||
821113 | Earthmoving Labourer | ||||
821114 | Plumber's Assistant | ||||
8212 | Concreters | ||||
821211 | Concreter | ||||
8213 | Fencers | ||||
821311 | Fencer | ||||
8214 | Insulation and Home Improvement Installers | ||||
821400 | Insulation and Home Improvement Installers nfd | ||||
821411 | Building Insulation Installer | ||||
821412 | Home Improvement Installer | ||||
8215 | Paving and Surfacing Labourers | ||||
821511 | Paving and Surfacing Labourer | ||||
8216 | Railway Track Workers | ||||
821611 | Railway Track Worker | ||||
8217 | Structural Steel Construction Workers | ||||
821700 | Structural Steel Construction Workers nfd | ||||
821711 | Construction Rigger | ||||
821712 | Scaffolder | ||||
821713 | Steel Fixer | ||||
821714 | Structural Steel Erector | ||||
8219 | Other Construction and Mining Labourers | ||||
821900 | Other Construction and Mining Labourers nfd | ||||
821911 | Crane Chaser | ||||
821912 | Driller's Assistant | ||||
821913 | Lagger | ||||
821914 | Mining Support Worker | ||||
821915 | Surveyor's Assistant | ||||
83 | Factory Process Workers | ||||
830 | Factory Process Workers nfd | ||||
8300 | Factory Process Workers nfd | ||||
830000 | Factory Process Workers nfd | ||||
831 | Food Process Workers | ||||
8310 | Food Process Workers nfd | ||||
831000 | Food Process Workers nfd | ||||
8311 | Food and Drink Factory Workers | ||||
831100 | Food and Drink Factory Workers nfd | ||||
831111 | Baking Factory Worker | ||||
831112 | Brewery Worker | ||||
831113 | Confectionery Maker | ||||
831114 | Dairy Products Maker | ||||
831115 | Fruit and Vegetable Factory Worker | ||||
831116 | Grain Mill Worker | ||||
831117 | Sugar Mill Worker | ||||
831118 | Winery Cellar Hand | ||||
831199 | Food and Drink Factory Workers nec | ||||
8312 | Meat Boners and Slicers, and Slaughterers | ||||
831200 | Meat Boners and Slicers, and Slaughterers nfd | ||||
831211 | Meat Boner and Slicer | ||||
831212 | Slaughterer | ||||
8313 | Meat, Poultry and Seafood Process Workers | ||||
831300 | Meat, Poultry and Seafood Process Workers nfd | ||||
831311 | Meat Process Worker | ||||
831312 | Poultry Process Worker | ||||
831313 | Seafood Process Worker | ||||
832 | Packers and Product Assemblers | ||||
8320 | Packers and Product Assemblers nfd | ||||
832000 | Packers and Product Assemblers nfd | ||||
8321 | Packers | ||||
832100 | Packers nfd | ||||
832111 | Chocolate Packer | ||||
832112 | Container Filler | ||||
832113 | Fruit and Vegetable Packer | ||||
832114 | Meat Packer | ||||
832115 | Seafood Packer | ||||
832199 | Packers nec | ||||
8322 | Product Assemblers | ||||
832211 | Product Assembler | ||||
839 | Miscellaneous Factory Process Workers | ||||
8390 | Miscellaneous Factory Process Workers nfd | ||||
839000 | Miscellaneous Factory Process Workers nfd | ||||
8391 | Metal Engineering Process Workers | ||||
839111 | Metal Engineering Process Worker | ||||
8392 | Plastics and Rubber Factory Workers | ||||
839200 | Plastics and Rubber Factory Workers nfd | ||||
839211 | Plastics Factory Worker | ||||
839212 | Rubber Factory Worker | ||||
8393 | Product Quality Controllers | ||||
839300 | Product Quality Controllers nfd | ||||
839311 | Product Examiner | ||||
839312 | Product Grader | ||||
839313 | Product Tester | ||||
8394 | Timber and Wood Process Workers | ||||
839400 | Timber and Wood Process Workers nfd | ||||
839411 | Paper and Pulp Mill Worker | ||||
839412 | Sawmill or Timber Yard Worker | ||||
839413 | Wood and Wood Products Factory Worker | ||||
8399 | Other Factory Process Workers | ||||
839900 | Other Factory Process Workers nfd | ||||
839911 | Cement and Concrete Plant Worker | ||||
839912 | Chemical Plant Worker | ||||
839913 | Clay Processing Factory Worker | ||||
839914 | Fabric and Textile Factory Worker | ||||
839915 | Footwear Factory Worker | ||||
839916 | Glass Processing Worker | ||||
839917 | Hide and Skin Processing Worker | ||||
839918 | Recycling Worker | ||||
839999 | Factory Process Workers nec | ||||
84 | Farm, Forestry and Garden Workers | ||||
841 | Farm, Forestry and Garden Workers | ||||
8410 | Farm, Forestry and Garden Workers nfd | ||||
841000 | Farm, Forestry and Garden Workers nfd | ||||
8411 | Aquaculture Workers | ||||
841111 | Aquaculture Worker | ||||
8412 | Crop Farm Workers | ||||
841200 | Crop Farm Workers nfd | ||||
841211 | Fruit or Nut Farm Worker | ||||
841212 | Fruit or Nut Picker | ||||
841213 | Grain, Oilseed or Pasture Farm Worker | ||||
841214 | Vegetable Farm Worker | ||||
841215 | Vegetable Picker | ||||
841216 | Vineyard Worker | ||||
841217 | Mushroom Picker | ||||
841299 | Crop Farm Workers nec | ||||
8413 | Forestry and Logging Workers | ||||
841300 | Forestry and Logging Workers nfd | ||||
841311 | Forestry Worker | ||||
841312 | Logging Assistant | ||||
841313 | Tree Faller | ||||
8414 | Garden and Nursery Labourers | ||||
841400 | Garden and Nursery Labourers nfd | ||||
841411 | Garden Labourer | ||||
841412 | Horticultural Nursery Assistant | ||||
8415 | Livestock Farm Workers | ||||
841500 | Livestock Farm Workers nfd | ||||
841511 | Beef Cattle Farm Worker | ||||
841512 | Dairy Cattle Farm Worker | ||||
841513 | Mixed Livestock Farm Worker | ||||
841514 | Poultry Farm Worker | ||||
841515 | Sheep Farm Worker | ||||
841516 | Stablehand | ||||
841517 | Wool Handler | ||||
841599 | Livestock Farm Workers nec | ||||
8416 | Mixed Crop and Livestock Farm Workers | ||||
841611 | Mixed Crop and Livestock Farm Worker | ||||
8419 | Other Farm, Forestry and Garden Workers | ||||
841900 | Other Farm, Forestry and Garden Workers nfd | ||||
841911 | Hunter-Trapper | ||||
841913 | Pest Controller | ||||
841999 | Farm, Forestry and Garden Workers nec | ||||
85 | Food Preparation Assistants | ||||
851 | Food Preparation Assistants | ||||
8510 | Food Preparation Assistants nfd | ||||
851000 | Food Preparation Assistants nfd | ||||
8511 | Fast Food Cooks | ||||
851111 | Fast Food Cook | ||||
8512 | Food Trades Assistants | ||||
851200 | Food Trades Assistants nfd | ||||
851211 | Pastrycook's Assistant | ||||
851299 | Food Trades Assistants nec | ||||
8513 | Kitchenhands | ||||
851311 | Kitchenhand | ||||
89 | Other Labourers | ||||
890 | Other Labourers nfd | ||||
8900 | Other Labourers nfd | ||||
890000 | Other Labourers nfd | ||||
891 | Freight Handlers and Shelf Fillers | ||||
8910 | Freight Handlers and Shelf Fillers nfd | ||||
891000 | Freight Handlers and Shelf Fillers nfd | ||||
8911 | Freight and Furniture Handlers | ||||
891100 | Freight and Furniture Handlers nfd | ||||
891111 | Freight Handler (Rail or Road) | ||||
891112 | Truck Driver's Offsider | ||||
891113 | Waterside Worker | ||||
8912 | Shelf Fillers | ||||
891211 | Shelf Filler | ||||
899 | Miscellaneous Labourers | ||||
8990 | Miscellaneous Labourers nfd | ||||
899000 | Miscellaneous Labourers nfd | ||||
8991 | Caretakers | ||||
899111 | Caretaker | ||||
8992 | Deck and Fishing Hands | ||||
899200 | Deck and Fishing Hands nfd | ||||
899211 | Deck Hand | ||||
899212 | Fishing Hand | ||||
8993 | Handypersons | ||||
899311 | Handyperson | ||||
8994 | Motor Vehicle Parts and Accessories Fitters | ||||
899400 | Motor Vehicle Parts and Accessories Fitters nfd | ||||
899411 | Motor Vehicle Parts and Accessories Fitter (General) | ||||
899412 | Autoglazier | ||||
899413 | Exhaust and Muffler Repairer | ||||
899414 | Radiator Repairer | ||||
899415 | Tyre Fitter | ||||
8995 | Printing Assistants and Table Workers | ||||
899500 | Printing Assistants and Table Workers nfd | ||||
899511 | Printer's Assistant | ||||
899512 | Printing Table Worker | ||||
8996 | Recycling and Rubbish Collectors | ||||
899611 | Recycling or Rubbish Collector | ||||
8997 | Vending Machine Attendants | ||||
899711 | Vending Machine Attendant | ||||
8999 | Other Miscellaneous Labourers | ||||
899900 | Other Miscellaneous Labourers nfd | ||||
899911 | Bicycle Mechanic | ||||
899912 | Car Park Attendant | ||||
899913 | Crossing Supervisor | ||||
899914 | Electrical or Telecommunications Trades Assistant | ||||
899915 | Leaflet or Newspaper Deliverer | ||||
899916 | Mechanic's Assistant | ||||
899917 | Railways Assistant | ||||
899918 | Sign Erector | ||||
899921 | Ticket Collector or Usher | ||||
899922 | Trolley Collector | ||||
899923 | Road Traffic Controller | ||||
899999 | Labourers nec |
Supplementary Codes
Supplementary Codes | |
099888 | Inadequately described |
&&&&&& | Not stated |
@@@@@@ | Not applicable |
VVVVVV | Overseas visitor |
Number of categories:
- One digit level: 8
- Two digit level: 51
- Three digit level: 134
- Four digit level: 478
- Six digit: 1,357
Not applicable (@@@@@@) category comprises:
- Unemployed persons, looking for either full-time or part-time work
- Persons not in the labour force
- Persons with Labour force status (LFSP), not stated
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
In the main job held last week, what was the person’s occupation?
Targeted supplementary questions for occupation
On the online form there are targeted supplementary questions (TSQs) for the occupation question. TSQs are asked to clarify free text responses and are prompted by ‘trigger words’ entered into the response. Once a trigger word is entered a targeted supplementary question appears and a set of pre-defined response options is given to the respondent.
For example, if the word 'nurse' was entered as the occupation, then extra questions are asked about the type of nurse occupation the respondent holds (see example in image below).
The list of 'trigger words' and targeted supplementary questions are created by looking at common responses in the 'not further defined' coding categories from the previous Census data.
There are 13 TSQs for occupation. A full list of the questions, trigger words and response options are available in the downloads on this page.
Example - targeted supplementary question
What are the main tasks that the person usually performs in that occupation?
For the main job held last week, what was the employer’s business name?
What best describes the industry or business of the employer at the location where the person works?
More information
Example
Example - Targeted supplementary questions
What are the main goods produced or main services provided by the employer’s business?
More information
How this variable is created
This variable is mainly coded based on the write-in responses to questions asking for the person’s occupation title and main tasks performed. Other occupation questions may also be used to assist with quality coding.
Occupation is coded using the ANZSCO, 2013, Version 1.3. Since the 2016 Census, the ANZSCO has been updated from Version 1.2 to Version 1.3.
Not all responses easily fit into an occupation as listed in the classification, so are coded to a higher level which covers any possible options, for that response. These are more general ‘not further defined (nfd)’ codes and end in one or more zeroes.
Occupation coding is reliant on a variety of processes. All text response fields that contribute to occupation coding are first auto-repaired before being sent through an auto-coding process. The remaining responses that did not successfully achieve a code are examined by ABS clerical staff and independently assessed for an ANZSCO code.
Where insufficient information is provided in a response for assigning an ANZSCO code an 'Inadequately described' code is allocated during processing.
History and changes
Questions relating to Occupation were first asked in the 1911 Census. Prior to the 1986 Census, a single question was asked about title of occupation. In 1986 a second question on main tasks or duties that a person usually performed in their job was included to improve the quality of coding. The questions have remained the same for subsequent censuses with some revision of the examples and instructions only.
From 2016, targeted supplementary questions (TSQs) were asked in the online form to clarify common not further defined responses.
In 2016 the ANZSCO, 2013 version 1.2 was used. For 2021, Occupation is coded to the updated version to Australian and New Zealand Standard Classification of Occupations, 2013, Version 1.3
In 2021, several minor wording and response order changes were made to the targeted supplementary questions (TSQs). Additionally, from 2021 Occupation is now output down to the 6-digit level to allow for more detailed occupation data to be accessible. Previously the 6-digit level data was only accessible via data requests.
Data use considerations
Collecting both occupation title and task information ensures more accurate coding of occupations. This data is essential for:
- labour market analysis
- policy formation
Changes in the occupational composition of the labour force are important for planning at the industry and geographic area levels.
The data is used in analyses of education and training needs, and as indicators for industry assistance programs.
Small area data on occupation are important in regional planning; in examining the occupational mobility of ethnic and other minority groups; and in measuring socioeconomic status variability between regions.
The introduction of targeted supplementary questions in the online Census has reduced 'not further defined' categories across some Occupations and classified responses into more detailed Occupation categories.
Unlike most Census variables, the non-response rate for Occupation (OCCP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond or have a labour force status of 'not stated' are not applicable to Occupation.
The non-response rate for Occupation (OCCP) was 0.8% in 2021. This is an increase from 0.7% in 2016.
Lockdown
A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people being temporarily stood down on Census day. Guidance on how to correctly respond was provided at the time on the Census website, as follows:
'If you were employed in the 4 weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID-19 restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and information about your employer (such as industry and number of employees).'
Data downloads
-
Occupation classification
-
Targeted supplementary questions - Occupation
Main source of personal income (administrative data) (ISAP)
Definition
This variable indicates the main source of income that a person received based on all income recorded in administrative data for the 2020/2021 financial year.
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census.
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
0 | Nil or negative income |
1 | Employee wages and salary |
2 | Government benefits and allowances |
3 | Own unincorporated business income |
4 | Superannuation income |
5 | Investment income |
6 | Other income |
9 | Admin not available |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 10
Admin not available (9) category comprises:
- Persons who were not able to be linked to PLIDA, and therefore did not have administrative income information available
Not applicable (@) category comprises:
- Persons aged under 15 years
How this variable is created
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.
The main source of income is the category with the largest total income recorded between 1 July 2020 and 30 June 2021. This variable does not record the dollar amount of income earned; it records what the main source of income is.
For example, a person may have earned substantial income from a salary and received a small amount of additional income from investments. This variable only records the main source of their income, in this case a salary.
In the case of a person receiving the same amount of income from two or more sources, the main source of income was selected by choosing the income type which was higher in the following ranked list:
- Employee wages and salary
- Government benefits and allowances
- Own unincorporated business income
- Superannuation income
- Investment income
- Other income
History and changes
This is a new variable for 2021.
Data use considerations
This variable provides an alternative, more detailed view on income than income data collected in the Census. It is based on income information recorded in linked administrative data, and not data collected from a Census question.
Comparison to other ABS Surveys
Although other ABS surveys, such as the Survey of Income and Housing and Person Income in Australia, collect similar data relating to personal income, they are not directly comparable. This is due to differences in scope, collection methodology, the time period the collection relates to, and conceptual differences. It is likely that data from each of these collections will deliver different outcomes making it important for data users to understand the key conceptual differences between each collection to use it most appropriately.
Financial Year income as a measure of usual income
Financial Year income from the administrative data is used to measure the main source of income. The Financial Year captures longer term trends of income and is not subject to short term changes around Census time. This means that this variable may not align with what a person earned, or usually earned around the time of the Census.
Superannuation income in administrative data
The administrative data used to derive this variable had limited coverage of income from superannuation, because many superannuation payments are not required to be reported annually to the Australian Taxation Office.
This means that we have under-recorded the amount of income people received from superannuation. In these cases, the main source of personal income would either be set to another income type (where the person also received income from another source) or income for this person would be incorrectly set to Nil.
This has resulted in a known undercount of the number of people with superannuation as their main source of personal income, and an overcount of the number of people with other income types as their main source of personal income.
Linkage rates between Census and administrative data
This variable relies upon the accurate linkage of Census to the administrative data. Data linkage rates (denoted through the 99 and 9999 categories) need to be considered in conjunction with the administrative income when assessing totals.
Lockdown
A number of regions across the country were in various stages of lockdown due to the COVID-19 pandemic throughout the 2020/2021 Financial Year. This resulted in a greater number of people being temporarily stood down, which impacted the main source of income recorded in administrative data.
Related variables and glossary terms
- Total personal income (administrative data) (weekly) (INCAP)
- Main type of personal government benefit payment (administrative data) (IGAP)
- Main source of family income (administrative data) (FSAF)
- Main source of household income (administrative data) (HSAD)
- Administrative data
- Government benefits, pensions and allowances
Useful links
Occupation experimental update version 1 (OCCEV1P)
Definition
This variable describes the primary job or occupation held by employed people in the week prior to Census Night. Occupation data in 2021 is available to the 6-digit level, allowing for a detailed look at occupation.
The classification used for the creation of this variable was an experimental Australian update to the Australian and New Zealand Standard Classification of Occupations (ANZSCO). This was a targeted update limited to occupations relating to agriculture, cyber security, naval ship building and emerging occupations and relates to the Australian labour market only. The ANZSCO - Australian and New Zealand Standard Classification of Occupations, 2021 represents the 2021 Australian update.
The variable Occupation (OCCP) is also available, this is coded using the Australian and New Zealand Standard Classification of Occupations (ANZSCO), 2013, Version 1.3.
Scope
Employed persons aged 15 years and over
Categories
Occupation experimental update version 1 (OCCEV1P) is coded using the Australian and New Zealand Standard Classification of Occupations (ANZSCO), 2021 Australian Update. The categories are listed in groups below. The full list is available from the Data downloads on this page.
1 Managers
1 | Managers | ||||
10 | Managers nfd | ||||
100 | Managers nfd | ||||
1000 | Managers nfd | ||||
100000 | Managers nfd | ||||
11 | Chief Executives, General Managers and Legislators | ||||
111 | Chief Executives, General Managers and Legislators | ||||
1110 | Chief Executives, General Managers and Legislators nfd | ||||
111000 | Chief Executives, General Managers and Legislators nfd | ||||
1111 | Chief Executives and Managing Directors | ||||
111111 | Chief Executive or Managing Director | ||||
1112 | General Managers | ||||
111200 | General Managers nfd | ||||
111211 | Corporate General Manager | ||||
111212 | Defence Force Senior Officer | ||||
1113 | Legislators | ||||
111300 | Legislators nfd | ||||
111311 | Local Government Legislator | ||||
111312 | Member of Parliament | ||||
111399 | Legislators nec | ||||
12 | Farmers and Farm Managers | ||||
121 | Farmers and Farm Managers | ||||
1210 | Farmers and Farm Managers nfd | ||||
121000 | Farmers and Farm Managers nfd | ||||
1211 | Aquaculture Farmers | ||||
121111 | Aquaculture Farmer | ||||
1213 | Livestock Farmers | ||||
121300 | Livestock Farmers nfd | ||||
121311 | Apiarist | ||||
121312 | Beef Cattle Farmer | ||||
121313 | Dairy Cattle Farmer | ||||
121314 | Deer Farmer | ||||
121315 | Goat Farmer | ||||
121316 | Horse Breeder | ||||
121318 | Pig Farmer | ||||
121321 | Poultry Farmer | ||||
121322 | Sheep Farmer | ||||
121323 | Mixed Cattle and Sheep Farmer | ||||
121399 | Livestock Farmers nec | ||||
1215 | Broadacre Crop Growers | ||||
121500 | Broadacre Crop Growers nfd | ||||
121511 | Cotton Grower | ||||
121512 | Grain, Oilseed, Pulse or Pasture Grower / Field Crop Grower | ||||
121513 | Sugar Cane Grower | ||||
121599 | Broadacre Crop Growers nec | ||||
1216 | Horticultural Crop Growers | ||||
121600 | Horticultural Crop Growers nfd | ||||
121611 | Flower Grower | ||||
121612 | Fruit Grower | ||||
121613 | Nut Grower | ||||
121614 | Production Nursery Grower | ||||
121615 | Turf Grower | ||||
121616 | Vegetable Grower (Aus) / Market Gardener (NZ) | ||||
121617 | Wine Grape Grower | ||||
121699 | Horticultural Crop Growers nec | ||||
1217 | Mixed Production Farmers | ||||
121700 | Mixed Production Farmers nfd | ||||
121711 | Broadacre Crop and Livestock Farmer | ||||
121799 | Mixed Production Farmers nec | ||||
13 | Specialist Managers | ||||
130 | Specialist Managers nfd | ||||
1300 | Specialist Managers nfd | ||||
130000 | Specialist Managers nfd | ||||
131 | Advertising, Public Relations and Sales Managers | ||||
1311 | Advertising, Public Relations and Sales Managers | ||||
131100 | Advertising, Public Relations and Sales Managers nfd | ||||
131112 | Sales and Marketing Manager | ||||
131113 | Advertising Manager | ||||
131114 | Public Relations Manager | ||||
132 | Business Administration Managers | ||||
1320 | Business Administration Managers nfd | ||||
132000 | Business Administration Managers nfd | ||||
1321 | Corporate Services Managers | ||||
132111 | Corporate Services Manager | ||||
1322 | Finance Managers | ||||
132211 | Finance Manager | ||||
1323 | Human Resource Managers | ||||
132311 | Human Resource Manager | ||||
1324 | Policy and Planning Managers | ||||
132411 | Policy and Planning Manager | ||||
1325 | Research and Development Managers | ||||
132511 | Research and Development Manager | ||||
133 | Construction, Distribution and Production Managers | ||||
1330 | Construction, Distribution and Production Managers nfd | ||||
133000 | Construction, Distribution and Production Managers nfd | ||||
1331 | Construction Managers | ||||
133100 | Construction Managers nfd | ||||
133111 | Construction Project Manager | ||||
133112 | Project Builder | ||||
1332 | Engineering Managers | ||||
133211 | Engineering Manager | ||||
1333 | Importers, Exporters and Wholesalers | ||||
133300 | Importers, Exporters and Wholesalers nfd | ||||
133311 | Importer or Exporter | ||||
133312 | Wholesaler | ||||
1334 | Manufacturers | ||||
133411 | Manufacturer | ||||
1335 | Production Managers | ||||
133500 | Production Managers nfd | ||||
133511 | Production Manager (Forestry) | ||||
133512 | Production Manager (Manufacturing) | ||||
133513 | Production Manager (Mining) | ||||
1336 | Supply, Distribution and Procurement Managers | ||||
133600 | Supply, Distribution and Procurement Managers nfd | ||||
133611 | Supply and Distribution Manager | ||||
133612 | Procurement Manager | ||||
134 | Education, Health and Welfare Services Managers | ||||
1340 | Education, Health and Welfare Services Managers nfd | ||||
134000 | Education, Health and Welfare Services Managers nfd | ||||
1341 | Child Care Centre Managers | ||||
134111 | Child Care Centre Manager | ||||
1342 | Health and Welfare Services Managers | ||||
134200 | Health and Welfare Services Managers nfd | ||||
134211 | Medical Administrator / Medical Superintendent | ||||
134212 | Nursing Clinical Director | ||||
134213 | Primary Health Organisation Manager | ||||
134214 | Welfare Centre Manager | ||||
134299 | Health and Welfare Services Managers nec | ||||
1343 | School Principals | ||||
134311 | School Principal | ||||
1344 | Other Education Managers | ||||
134400 | Other Education Managers nfd | ||||
134411 | Faculty Head | ||||
134412 | Regional Education Manager | ||||
134499 | Education Managers nec | ||||
135 | ICT Managers | ||||
1351 | ICT Managers | ||||
135100 | ICT Managers nfd | ||||
135111 | Chief Information Officer | ||||
135112 | ICT Project Manager | ||||
135199 | ICT Managers nec | ||||
139 | Miscellaneous Specialist Managers | ||||
1390 | Miscellaneous Specialist Managers nfd | ||||
139000 | Miscellaneous Specialist Managers nfd | ||||
1391 | Commissioned Officers (Management) | ||||
139100 | Commissioned Officers (Management) nfd | ||||
139111 | Commissioned Defence Force Officer | ||||
139112 | Commissioned Fire Officer | ||||
139113 | Commissioned Police Officer | ||||
1392 | Senior Non-commissioned Defence Force Members | ||||
139211 | Senior Non-commissioned Defence Force Member | ||||
1399 | Other Specialist Managers | ||||
139900 | Other Specialist Managers nfd | ||||
139911 | Arts Administrator or Manager | ||||
139912 | Environmental Manager | ||||
139913 | Laboratory Manager | ||||
139914 | Quality Assurance Manager | ||||
139915 | Sports Administrator | ||||
139999 | Specialist Managers nec | ||||
14 | Hospitality, Retail and Service Managers | ||||
140 | Hospitality, Retail and Service Managers nfd | ||||
1400 | Hospitality, Retail and Service Managers nfd | ||||
140000 | Hospitality, Retail and Service Managers nfd | ||||
141 | Accommodation and Hospitality Managers | ||||
1410 | Accommodation and Hospitality Managers nfd | ||||
141000 | Accommodation and Hospitality Managers nfd | ||||
1411 | Cafe and Restaurant Managers | ||||
141111 | Cafe or Restaurant Manager | ||||
1412 | Caravan Park and Camping Ground Managers | ||||
141211 | Caravan Park and Camping Ground Manager | ||||
1413 | Hotel and Motel Managers | ||||
141311 | Hotel or Motel Manager | ||||
1414 | Licensed Club Managers | ||||
141411 | Licensed Club Manager | ||||
1419 | Other Accommodation and Hospitality Managers | ||||
141900 | Other Accommodation and Hospitality Managers nfd | ||||
141911 | Bed and Breakfast Operator | ||||
141912 | Retirement Village Manager | ||||
141999 | Accommodation and Hospitality Managers nec | ||||
142 | Retail Managers | ||||
1421 | Retail Managers | ||||
142100 | Retail Managers nfd | ||||
142111 | Retail Manager (General) | ||||
142112 | Antique Dealer | ||||
142113 | Betting Agency Manager | ||||
142114 | Hair or Beauty Salon Manager | ||||
142115 | Post Office Manager | ||||
142116 | Travel Agency Manager | ||||
149 | Miscellaneous Hospitality, Retail and Service Managers | ||||
1490 | Miscellaneous Hospitality, Retail and Service Managers nfd | ||||
149000 | Miscellaneous Hospitality, Retail and Service Managers nfd | ||||
1491 | Amusement, Fitness and Sports Centre Managers | ||||
149100 | Amusement, Fitness and Sports Centre Managers nfd | ||||
149111 | Amusement Centre Manager | ||||
149112 | Fitness Centre Manager | ||||
149113 | Sports Centre Manager | ||||
1492 | Call or Contact Centre and Customer Service Managers | ||||
149200 | Call or Contact Centre and Customer Service Managers nfd | ||||
149211 | Call or Contact Centre Manager | ||||
149212 | Customer Service Manager | ||||
1493 | Conference and Event Organisers | ||||
149311 | Conference and Event Organiser | ||||
1494 | Transport Services Managers | ||||
149400 | Transport Services Managers nfd | ||||
149411 | Fleet Manager | ||||
149412 | Railway Station Manager | ||||
149413 | Transport Company Manager | ||||
1499 | Other Hospitality, Retail and Service Managers | ||||
149900 | Other Hospitality, Retail and Service Managers nfd | ||||
149911 | Boarding Kennel or Cattery Operator | ||||
149912 | Cinema or Theatre Manager | ||||
149913 | Facilities Manager | ||||
149914 | Financial Institution Branch Manager | ||||
149915 | Equipment Hire Manager | ||||
149999 | Hospitality, Retail and Service Managers nec |
2 Professionals
2 | Professionals | ||||
20 | Professionals nfd | ||||
200 | Professionals nfd | ||||
2000 | Professionals nfd | ||||
200000 | Professionals nfd | ||||
21 | Arts and Media Professionals | ||||
210 | Arts and Media Professionals nfd | ||||
2100 | Arts and Media Professionals nfd | ||||
210000 | Arts and Media Professionals nfd | ||||
211 | Arts Professionals | ||||
2110 | Arts Professionals nfd | ||||
211000 | Arts Professionals nfd | ||||
2111 | Actors, Dancers and Other Entertainers | ||||
211100 | Actors, Dancers and Other Entertainers nfd | ||||
211111 | Actor | ||||
211112 | Dancer or Choreographer | ||||
211113 | Entertainer or Variety Artist | ||||
211199 | Actors, Dancers and Other Entertainers nec | ||||
2112 | Music Professionals | ||||
211200 | Music Professionals nfd | ||||
211211 | Composer | ||||
211212 | Music Director | ||||
211213 | Musician (Instrumental) | ||||
211214 | Singer | ||||
211299 | Music Professionals nec | ||||
2113 | Photographers | ||||
211311 | Photographer | ||||
2114 | Visual Arts and Crafts Professionals | ||||
211400 | Visual Arts and Crafts Professionals nfd | ||||
211411 | Painter (Visual Arts) | ||||
211412 | Potter or Ceramic Artist | ||||
211413 | Sculptor | ||||
211499 | Visual Arts and Crafts Professionals nec | ||||
212 | Media Professionals | ||||
2120 | Media Professionals nfd | ||||
212000 | Media Professionals nfd | ||||
2121 | Artistic Directors, and Media Producers and Presenters | ||||
212100 | Artistic Directors, and Media Producers and Presenters nfd | ||||
212111 | Artistic Director | ||||
212112 | Media Producer (excluding Video) | ||||
212113 | Radio Presenter | ||||
212114 | Television Presenter | ||||
2122 | Authors, and Book and Script Editors | ||||
212200 | Authors, and Book and Script Editors nfd | ||||
212211 | Author | ||||
212212 | Book or Script Editor | ||||
2123 | Film, Television, Radio and Stage Directors | ||||
212300 | Film, Television, Radio and Stage Directors nfd | ||||
212311 | Art Director (Film, Television or Stage) | ||||
212312 | Director (Film, Television, Radio or Stage) | ||||
212313 | Director of Photography | ||||
212314 | Film and Video Editor | ||||
212315 | Program Director (Television or Radio) | ||||
212316 | Stage Manager | ||||
212317 | Technical Director | ||||
212318 | Video Producer | ||||
212399 | Film, Television, Radio and Stage Directors nec | ||||
2124 | Journalists and Other Writers | ||||
212400 | Journalists and Other Writers nfd | ||||
212411 | Copywriter | ||||
212412 | Newspaper or Periodical Editor | ||||
212413 | Print Journalist | ||||
212414 | Radio Journalist | ||||
212415 | Technical Writer | ||||
212416 | Television Journalist | ||||
212499 | Journalists and Other Writers nec | ||||
22 | Business, Human Resource and Marketing Professionals | ||||
220 | Business, Human Resource and Marketing Professionals nfd | ||||
2200 | Business, Human Resource and Marketing Professionals nfd | ||||
220000 | Business, Human Resource and Marketing Professionals nfd | ||||
221 | Accountants, Auditors and Company Secretaries | ||||
2210 | Accountants, Auditors and Company Secretaries nfd | ||||
221000 | Accountants, Auditors and Company Secretaries nfd | ||||
2211 | Accountants | ||||
221100 | Accountants nfd | ||||
221111 | Accountant (General) | ||||
221112 | Management Accountant | ||||
221113 | Taxation Accountant | ||||
2212 | Auditors, Company Secretaries and Corporate Treasurers | ||||
221200 | Auditors, Company Secretaries and Corporate Treasurers nfd | ||||
221211 | Company Secretary | ||||
221212 | Corporate Treasurer | ||||
221213 | External Auditor | ||||
221214 | Internal Auditor | ||||
222 | Financial Brokers and Dealers, and Investment Advisers | ||||
2220 | Financial Brokers and Dealers, and Investment Advisers nfd | ||||
222000 | Financial Brokers and Dealers, and Investment Advisers nfd | ||||
2221 | Financial Brokers | ||||
222100 | Financial Brokers nfd | ||||
222111 | Commodities Trader | ||||
222112 | Finance Broker | ||||
222113 | Insurance Broker | ||||
222199 | Financial Brokers nec | ||||
2222 | Financial Dealers | ||||
222200 | Financial Dealers nfd | ||||
222211 | Financial Market Dealer | ||||
222212 | Futures Trader | ||||
222213 | Stockbroking Dealer | ||||
222299 | Financial Dealers nec | ||||
2223 | Financial Investment Advisers and Managers | ||||
222300 | Financial Investment Advisers and Managers nfd | ||||
222311 | Financial Investment Adviser | ||||
222312 | Financial Investment Manager | ||||
223 | Human Resource and Training Professionals | ||||
2230 | Human Resource and Training Professionals nfd | ||||
223000 | Human Resource and Training Professionals nfd | ||||
2231 | Human Resource Professionals | ||||
223100 | Human Resource Professionals nfd | ||||
223111 | Human Resource Adviser | ||||
223112 | Recruitment Consultant | ||||
223113 | Workplace Relations Adviser | ||||
2233 | Training and Development Professionals | ||||
223311 | Training and Development Professional | ||||
224 | Information and Organisation Professionals | ||||
2240 | Information and Organisation Professionals nfd | ||||
224000 | Information and Organisation Professionals nfd | ||||
2241 | Actuaries, Mathematicians and Statisticians | ||||
224100 | Actuaries, Mathematicians and Statisticians nfd | ||||
224111 | Actuary | ||||
224112 | Mathematician | ||||
224113 | Statistician | ||||
2242 | Archivists, Curators and Records Managers | ||||
224200 | Archivists, Curators and Records Managers nfd | ||||
224211 | Archivist | ||||
224212 | Gallery or Museum Curator | ||||
224213 | Health Information Manager | ||||
224214 | Records Manager | ||||
2243 | Economists | ||||
224311 | Economist | ||||
2244 | Intelligence and Policy Analysts | ||||
224400 | Intelligence and Policy Analysts nfd | ||||
224411 | Intelligence Officer | ||||
224412 | Policy Analyst | ||||
2245 | Land Economists and Valuers | ||||
224500 | Land Economists and Valuers nfd | ||||
224511 | Land Economist | ||||
224512 | Valuer | ||||
2246 | Librarians | ||||
224611 | Librarian | ||||
2247 | Management and Organisation Analysts | ||||
224700 | Management and Organisation Analysts nfd | ||||
224711 | Management Consultant | ||||
224712 | Organisation and Methods Analyst | ||||
2249 | Other Information and Organisation Professionals | ||||
224900 | Other Information and Organisation Professionals nfd | ||||
224911 | Electorate Officer | ||||
224912 | Liaison Officer | ||||
224913 | Migration Agent / Immigration Consultant | ||||
224914 | Patents Examiner | ||||
224999 | Information and Organisation Professionals nec | ||||
225 | Sales, Marketing and Public Relations Professionals | ||||
2250 | Sales, Marketing and Public Relations Professionals nfd | ||||
225000 | Sales, Marketing and Public Relations Professionals nfd | ||||
2251 | Advertising and Marketing Professionals | ||||
225100 | Advertising and Marketing Professionals nfd | ||||
225111 | Advertising Specialist | ||||
225112 | Market Research Analyst | ||||
225113 | Marketing Specialist | ||||
225114 | Content Creator (Marketing) | ||||
225115 | Digital Marketing Analyst | ||||
2252 | ICT Sales Professionals | ||||
225200 | ICT Sales Professionals nfd | ||||
225211 | ICT Account Manager | ||||
225212 | ICT Business Development Manager | ||||
225213 | ICT Sales Representative | ||||
2253 | Public Relations Professionals | ||||
225311 | Public Relations Professional | ||||
2254 | Technical Sales Representatives | ||||
225400 | Technical Sales Representatives nfd | ||||
225411 | Sales Representative (Industrial Products) | ||||
225412 | Sales Representative (Medical and Pharmaceutical Products) | ||||
225499 | Technical Sales Representatives nec | ||||
23 | Design, Engineering, Science and Transport Professionals | ||||
230 | Design, Engineering, Science and Transport Professionals nfd | ||||
2300 | Design, Engineering, Science and Transport Professionals nfd | ||||
230000 | Design, Engineering, Science and Transport Professionals nfd | ||||
231 | Air and Marine Transport Professionals | ||||
2310 | Air and Marine Transport Professionals nfd | ||||
231000 | Air and Marine Transport Professionals nfd | ||||
2311 | Air Transport Professionals | ||||
231100 | Air Transport Professionals nfd | ||||
231111 | Aeroplane Pilot | ||||
231112 | Air Traffic Controller | ||||
231113 | Flying Instructor | ||||
231114 | Helicopter Pilot | ||||
231199 | Air Transport Professionals nec | ||||
2312 | Marine Transport Professionals | ||||
231200 | Marine Transport Professionals nfd | ||||
231211 | Master Fisher | ||||
231212 | Ship's Engineer | ||||
231213 | Ship's Master | ||||
231214 | Ship's Officer | ||||
231215 | Marine Surveyor | ||||
231299 | Marine Transport Professionals nec | ||||
232 | Architects, Designers, Planners and Surveyors | ||||
2320 | Architects, Designers, Planners and Surveyors nfd | ||||
232000 | Architects, Designers, Planners and Surveyors nfd | ||||
2321 | Architects and Landscape Architects | ||||
232100 | Architects and Landscape Architects nfd | ||||
232111 | Architect | ||||
232112 | Landscape Architect | ||||
2322 | Surveyors and Spatial Scientists | ||||
232200 | Surveyors and Spatial Scientists nfd | ||||
232212 | Surveyor | ||||
232213 | Cartographer | ||||
232214 | Other Spatial Scientist | ||||
2323 | Fashion, Industrial and Jewellery Designers | ||||
232300 | Fashion, Industrial and Jewellery Designers nfd | ||||
232311 | Fashion Designer | ||||
232312 | Industrial Designer | ||||
232313 | Jewellery Designer | ||||
2324 | Graphic and Web Designers, and Illustrators | ||||
232400 | Graphic and Web Designers, and Illustrators nfd | ||||
232411 | Graphic Designer | ||||
232412 | Illustrator | ||||
232413 | Multimedia Designer | ||||
232414 | Web Designer | ||||
2325 | Interior Designers | ||||
232511 | Interior Designer | ||||
2326 | Urban and Regional Planners | ||||
232611 | Urban and Regional Planner | ||||
233 | Engineering Professionals | ||||
2330 | Engineering Professionals nfd | ||||
233000 | Engineering Professionals nfd | ||||
2331 | Chemical and Materials Engineers | ||||
233100 | Chemical and Materials Engineers nfd | ||||
233111 | Chemical Engineer | ||||
233112 | Materials Engineer | ||||
2332 | Civil Engineering Professionals | ||||
233200 | Civil Engineering Professionals nfd | ||||
233211 | Civil Engineer | ||||
233212 | Geotechnical Engineer | ||||
233213 | Quantity Surveyor | ||||
233214 | Structural Engineer | ||||
233215 | Transport Engineer | ||||
2333 | Electrical Engineers | ||||
233311 | Electrical Engineer | ||||
2334 | Electronics Engineers | ||||
233411 | Electronics Engineer | ||||
2335 | Industrial, Mechanical and Production Engineers | ||||
233500 | Industrial, Mechanical and Production Engineers nfd | ||||
233511 | Industrial Engineer | ||||
233512 | Mechanical Engineer | ||||
233513 | Production or Plant Engineer | ||||
2336 | Mining Engineers | ||||
233600 | Mining Engineers nfd | ||||
233611 | Mining Engineer (excluding Petroleum) | ||||
233612 | Petroleum Engineer | ||||
2339 | Other Engineering Professionals | ||||
233900 | Other Engineering Professionals nfd | ||||
233911 | Aeronautical Engineer | ||||
233912 | Agricultural Engineer | ||||
233913 | Biomedical Engineer | ||||
233914 | Engineering Technologist | ||||
233915 | Environmental Engineer | ||||
233916 | Naval Architect / Marine Designer | ||||
233999 | Engineering Professionals nec | ||||
234 | Natural and Physical Science Professionals | ||||
2340 | Natural and Physical Science Professionals nfd | ||||
234000 | Natural and Physical Science Professionals nfd | ||||
2341 | Agricultural, Fisheries and Forestry Scientists | ||||
234100 | Agricultural, Fisheries and Forestry Scientists nfd | ||||
234111 | Agricultural Consultant | ||||
234113 | Forester / Forest Scientist | ||||
234114 | Agricultural Research Scientist | ||||
234115 | Agronomist | ||||
234116 | Aquaculture or Fisheries Scientist | ||||
2342 | Chemists, and Food and Wine Scientists | ||||
234200 | Chemists, and Food and Wine Scientists nfd | ||||
234211 | Chemist | ||||
234212 | Food Technologist | ||||
234213 | Wine Maker | ||||
2343 | Environmental Scientists | ||||
234300 | Environmental Scientists nfd | ||||
234311 | Conservation Officer | ||||
234312 | Environmental Consultant | ||||
234313 | Environmental Research Scientist | ||||
234314 | Park Ranger | ||||
234399 | Environmental Scientists nec | ||||
2344 | Geologists, Geophysicists and Hydrogeologists | ||||
234400 | Geologists, Geophysicists and Hydrogeologists nfd | ||||
234411 | Geologist | ||||
234412 | Geophysicist | ||||
234413 | Hydrogeologist | ||||
2345 | Life Scientists | ||||
234500 | Life Scientists nfd | ||||
234511 | Life Scientist (General) | ||||
234513 | Biochemist | ||||
234514 | Biotechnologist | ||||
234515 | Botanist | ||||
234516 | Marine Biologist | ||||
234517 | Microbiologist | ||||
234521 | Entomologist | ||||
234522 | Zoologist | ||||
234599 | Life Scientists nec | ||||
2346 | Medical Scientists | ||||
234600 | Medical Scientists nfd | ||||
234611 | Medical Laboratory Scientist | ||||
234612 | Respiratory Scientist | ||||
2347 | Veterinarians | ||||
234711 | Veterinarian | ||||
2349 | Other Natural and Physical Science Professionals | ||||
234900 | Other Natural and Physical Science Professionals nfd | ||||
234911 | Conservator | ||||
234912 | Metallurgist | ||||
234913 | Meteorologist | ||||
234914 | Physicist | ||||
234915 | Exercise Physiologist | ||||
234999 | Natural and Physical Science Professionals nec | ||||
24 | Education Professionals | ||||
240 | Education Professionals nfd | ||||
2400 | Education Professionals nfd | ||||
240000 | Education Professionals nfd | ||||
241 | School Teachers | ||||
2410 | School Teachers nfd | ||||
241000 | School Teachers nfd | ||||
2411 | Early Childhood (Pre-primary School) Teachers | ||||
241111 | Early Childhood (Pre-primary School) Teacher | ||||
2412 | Primary School Teachers | ||||
241213 | Primary School Teacher | ||||
2413 | Middle School Teachers / Intermediate School Teachers | ||||
241311 | Middle School Teacher / Intermediate School Teacher | ||||
2414 | Secondary School Teachers | ||||
241411 | Secondary School Teacher | ||||
2415 | Special Education Teachers | ||||
241500 | Special Education Teachers nfd | ||||
241511 | Special Needs Teacher | ||||
241512 | Teacher of the Hearing Impaired | ||||
241513 | Teacher of the Sight Impaired | ||||
241599 | Special Education Teachers nec | ||||
242 | Tertiary Education Teachers | ||||
2420 | Tertiary Education Teachers nfd | ||||
242000 | Tertiary Education Teachers nfd | ||||
2421 | University Lecturers and Tutors | ||||
242100 | University Lecturers and Tutors nfd | ||||
242111 | University Lecturer | ||||
242112 | University Tutor | ||||
2422 | Vocational Education Teachers / Polytechnic Teachers | ||||
242211 | Vocational Education Teacher / Polytechnic Teacher | ||||
249 | Miscellaneous Education Professionals | ||||
2490 | Miscellaneous Education Professionals nfd | ||||
249000 | Miscellaneous Education Professionals nfd | ||||
2491 | Education Advisers and Reviewers | ||||
249100 | Education Advisers and Reviewers nfd | ||||
249111 | Education Adviser | ||||
249112 | Education Reviewer | ||||
2492 | Private Tutors and Teachers | ||||
249200 | Private Tutors and Teachers nfd | ||||
249211 | Art Teacher (Private Tuition) | ||||
249212 | Dance Teacher (Private Tuition) | ||||
249213 | Drama Teacher (Private Tuition) | ||||
249214 | Music Teacher (Private Tuition) | ||||
249299 | Private Tutors and Teachers nec | ||||
2493 | Teachers of English to Speakers of Other Languages | ||||
249311 | Teacher of English to Speakers of Other Languages | ||||
25 | Health Professionals | ||||
250 | Health Professionals nfd | ||||
2500 | Health Professionals nfd | ||||
250000 | Health Professionals nfd | ||||
251 | Health Diagnostic and Promotion Professionals | ||||
2510 | Health Diagnostic and Promotion Professionals nfd | ||||
251000 | Health Diagnostic and Promotion Professionals nfd | ||||
2511 | Nutrition Professionals | ||||
251100 | Nutrition Professionals nfd | ||||
251111 | Dietitian | ||||
251112 | Nutritionist | ||||
2512 | Medical Imaging Professionals | ||||
251200 | Medical Imaging Professionals nfd | ||||
251211 | Medical Diagnostic Radiographer | ||||
251212 | Medical Radiation Therapist | ||||
251213 | Nuclear Medicine Technologist | ||||
251214 | Sonographer | ||||
2513 | Occupational and Environmental Health Professionals | ||||
251300 | Occupational and Environmental Health Professionals nfd | ||||
251311 | Environmental Health Officer | ||||
251312 | Occupational Health and Safety Adviser | ||||
2514 | Optometrists and Orthoptists | ||||
251400 | Optometrists and Orthoptists nfd | ||||
251411 | Optometrist | ||||
251412 | Orthoptist | ||||
2515 | Pharmacists | ||||
251500 | Pharmacists nfd | ||||
251511 | Hospital Pharmacist | ||||
251512 | Industrial Pharmacist | ||||
251513 | Retail Pharmacist | ||||
2519 | Other Health Diagnostic and Promotion Professionals | ||||
251900 | Other Health Diagnostic and Promotion Professionals nfd | ||||
251911 | Health Promotion Officer | ||||
251912 | Orthotist or Prosthetist | ||||
251999 | Health Diagnostic and Promotion Professionals nec | ||||
252 | Health Therapy Professionals | ||||
2520 | Health Therapy Professionals nfd | ||||
252000 | Health Therapy Professionals nfd | ||||
2521 | Chiropractors and Osteopaths | ||||
252100 | Chiropractors and Osteopaths nfd | ||||
252111 | Chiropractor | ||||
252112 | Osteopath | ||||
2522 | Complementary Health Therapists | ||||
252200 | Complementary Health Therapists nfd | ||||
252211 | Acupuncturist | ||||
252212 | Homoeopath | ||||
252213 | Naturopath | ||||
252214 | Traditional Chinese Medicine Practitioner | ||||
252299 | Complementary Health Therapists nec | ||||
2523 | Dental Practitioners | ||||
252300 | Dental Practitioners nfd | ||||
252311 | Dental Specialist | ||||
252312 | Dentist | ||||
2524 | Occupational Therapists | ||||
252411 | Occupational Therapist | ||||
2525 | Physiotherapists | ||||
252511 | Physiotherapist | ||||
2526 | Podiatrists | ||||
252611 | Podiatrist | ||||
2527 | Audiologists and Speech Pathologists / Therapists | ||||
252700 | Audiologists and Speech Pathologists / Therapists nfd | ||||
252711 | Audiologist | ||||
252712 | Speech Pathologist / Speech Language Therapist | ||||
253 | Medical Practitioners | ||||
2530 | Medical Practitioners nfd | ||||
253000 | Medical Practitioners nfd | ||||
2531 | General Practitioners and Resident Medical Officers | ||||
253100 | General Practitioners and Resident Medical Officers nfd | ||||
253111 | General Practitioner | ||||
253112 | Resident Medical Officer | ||||
2532 | Anaesthetists | ||||
253211 | Anaesthetist | ||||
2533 | Specialist Physicians | ||||
253300 | Specialist Physicians nfd | ||||
253311 | Specialist Physician (General Medicine) | ||||
253312 | Cardiologist | ||||
253313 | Clinical Haematologist | ||||
253314 | Medical Oncologist | ||||
253315 | Endocrinologist | ||||
253316 | Gastroenterologist | ||||
253317 | Intensive Care Specialist | ||||
253318 | Neurologist | ||||
253321 | Paediatrician | ||||
253322 | Renal Medicine Specialist | ||||
253323 | Rheumatologist | ||||
253324 | Thoracic Medicine Specialist | ||||
253399 | Specialist Physicians nec | ||||
2534 | Psychiatrists | ||||
253411 | Psychiatrist | ||||
2535 | Surgeons | ||||
253500 | Surgeons nfd | ||||
253511 | Surgeon (General) | ||||
253512 | Cardiothoracic Surgeon | ||||
253513 | Neurosurgeon | ||||
253514 | Orthopaedic Surgeon | ||||
253515 | Otorhinolaryngologist | ||||
253516 | Paediatric Surgeon | ||||
253517 | Plastic and Reconstructive Surgeon | ||||
253518 | Urologist | ||||
253521 | Vascular Surgeon | ||||
2539 | Other Medical Practitioners | ||||
253900 | Other Medical Practitioners nfd | ||||
253911 | Dermatologist | ||||
253912 | Emergency Medicine Specialist | ||||
253913 | Obstetrician and Gynaecologist | ||||
253914 | Ophthalmologist | ||||
253915 | Pathologist | ||||
253917 | Diagnostic and Interventional Radiologist | ||||
253918 | Radiation Oncologist | ||||
253999 | Medical Practitioners nec | ||||
254 | Midwifery and Nursing Professionals | ||||
2540 | Midwifery and Nursing Professionals nfd | ||||
254000 | Midwifery and Nursing Professionals nfd | ||||
2541 | Midwives | ||||
254111 | Midwife | ||||
2542 | Nurse Educators and Researchers | ||||
254200 | Nurse Educators and Researchers nfd | ||||
254211 | Nurse Educator | ||||
254212 | Nurse Researcher | ||||
2543 | Nurse Managers | ||||
254311 | Nurse Manager | ||||
2544 | Registered Nurses | ||||
254400 | Registered Nurses nfd | ||||
254411 | Nurse Practitioner | ||||
254412 | Registered Nurse (Aged Care) | ||||
254413 | Registered Nurse (Child and Family Health) | ||||
254414 | Registered Nurse (Community Health) | ||||
254415 | Registered Nurse (Critical Care and Emergency) | ||||
254416 | Registered Nurse (Developmental Disability) | ||||
254417 | Registered Nurse (Disability and Rehabilitation) | ||||
254418 | Registered Nurse (Medical) | ||||
254421 | Registered Nurse (Medical Practice) | ||||
254422 | Registered Nurse (Mental Health) | ||||
254423 | Registered Nurse (Perioperative) | ||||
254424 | Registered Nurse (Surgical) | ||||
254425 | Registered Nurse (Paediatrics) | ||||
254499 | Registered Nurses nec | ||||
26 | ICT Professionals | ||||
260 | ICT Professionals nfd | ||||
2600 | ICT Professionals nfd | ||||
260000 | ICT Professionals nfd | ||||
261 | Business and Systems Analysts, and Programmers | ||||
2610 | Business and Systems Analysts, and Programmers nfd | ||||
261000 | Business and Systems Analysts, and Programmers nfd | ||||
2611 | ICT Business and Systems Analysts | ||||
261100 | ICT Business and Systems Analysts nfd | ||||
261111 | ICT Business Analyst | ||||
261112 | Systems Analyst | ||||
261113 | User Experience Designer (ICT) | ||||
2612 | Multimedia Specialists and Web Developers | ||||
261200 | Multimedia Specialists and Web Developers nfd | ||||
261211 | Multimedia Specialist | ||||
261212 | Web Developer | ||||
2613 | Software and Applications Programmers | ||||
261300 | Software and Applications Programmers nfd | ||||
261311 | Analyst Programmer | ||||
261312 | Developer Programmer | ||||
261313 | Software Engineer | ||||
261314 | Software Tester | ||||
261315 | Cyber Security Engineer | ||||
261316 | Devops Engineer | ||||
261317 | Penetration Tester | ||||
261399 | Software and Applications Programmers nec | ||||
262 | Database and Systems Administrators, and ICT Security Specialists | ||||
2621 | Database and Systems Administrators, and ICT Security Specialists | ||||
262100 | Database and Systems Administrators, and ICT Security Specialists nfd | ||||
262111 | Database Administrator | ||||
262113 | Systems Administrator | ||||
262114 | Cyber Governance Risk and Compliance Specialist | ||||
262115 | Cyber Security Advice and Assessment Specialist | ||||
262116 | Cyber Security Analyst | ||||
262117 | Cyber Security Architect | ||||
262118 | Cyber Security Operations Coordinator | ||||
263 | ICT Network and Support Professionals | ||||
2630 | ICT Network and Support Professionals nfd | ||||
263000 | ICT Network and Support Professionals nfd | ||||
2631 | Computer Network Professionals | ||||
263100 | Computer Network Professionals nfd | ||||
263111 | Computer Network and Systems Engineer | ||||
263112 | Network Administrator | ||||
263113 | Network Analyst | ||||
2632 | ICT Support and Test Engineers | ||||
263200 | ICT Support and Test Engineers nfd | ||||
263211 | ICT Quality Assurance Engineer | ||||
263212 | ICT Support Engineer | ||||
263213 | ICT Systems Test Engineer | ||||
263299 | ICT Support and Test Engineers nec | ||||
2633 | Telecommunications Engineering Professionals | ||||
263300 | Telecommunications Engineering Professionals nfd | ||||
263311 | Telecommunications Engineer | ||||
263312 | Telecommunications Network Engineer | ||||
27 | Legal, Social and Welfare Professionals | ||||
270 | Legal, Social and Welfare Professionals nfd | ||||
2700 | Legal, Social and Welfare Professionals nfd | ||||
270000 | Legal, Social and Welfare Professionals nfd | ||||
271 | Legal Professionals | ||||
2710 | Legal Professionals nfd | ||||
271000 | Legal Professionals nfd | ||||
2711 | Barristers | ||||
271111 | Barrister | ||||
2712 | Judicial and Other Legal Professionals | ||||
271200 | Judicial and Other Legal Professionals nfd | ||||
271211 | Judge | ||||
271212 | Magistrate | ||||
271213 | Tribunal Member | ||||
271214 | Intellectual Property Lawyer | ||||
271299 | Judicial and Other Legal Professionals nec | ||||
2713 | Solicitors | ||||
271311 | Solicitor | ||||
272 | Social and Welfare Professionals | ||||
2720 | Social and Welfare Professionals nfd | ||||
272000 | Social and Welfare Professionals nfd | ||||
2721 | Counsellors | ||||
272100 | Counsellors nfd | ||||
272111 | Careers Counsellor | ||||
272112 | Drug and Alcohol Counsellor | ||||
272113 | Family and Marriage Counsellor | ||||
272114 | Rehabilitation Counsellor | ||||
272115 | Student Counsellor | ||||
272199 | Counsellors nec | ||||
2722 | Ministers of Religion | ||||
272211 | Minister of Religion | ||||
2723 | Psychologists | ||||
272300 | Psychologists nfd | ||||
272311 | Clinical Psychologist | ||||
272312 | Educational Psychologist | ||||
272313 | Organisational Psychologist | ||||
272314 | Psychotherapist | ||||
272399 | Psychologists nec | ||||
2724 | Social Professionals | ||||
272400 | Social Professionals nfd | ||||
272411 | Historian | ||||
272412 | Interpreter | ||||
272413 | Translator | ||||
272414 | Archaeologist | ||||
272499 | Social Professionals nec | ||||
2725 | Social Workers | ||||
272511 | Social Worker | ||||
2726 | Welfare, Recreation and Community Arts Workers | ||||
272600 | Welfare, Recreation and Community Arts Workers nfd | ||||
272611 | Community Arts Worker | ||||
272612 | Recreation Officer / Recreation Coordinator | ||||
272613 | Welfare Worker |
3 Technicians and Trades Workers
3 | Technicians and Trades Workers | ||||
30 | Technicians and Trades Workers nfd | ||||
300 | Technicians and Trades Workers nfd | ||||
3000 | Technicians and Trades Workers nfd | ||||
300000 | Technicians and Trades Workers nfd | ||||
31 | Engineering, ICT and Science Technicians | ||||
310 | Engineering, ICT and Science Technicians nfd | ||||
3100 | Engineering, ICT and Science Technicians nfd | ||||
310000 | Engineering, ICT and Science Technicians nfd | ||||
311 | Agricultural, Medical and Science Technicians | ||||
3110 | Agricultural, Medical and Science Technicians nfd | ||||
311000 | Agricultural, Medical and Science Technicians nfd | ||||
3111 | Agricultural, Agritech and Aquaculture Technicians | ||||
311100 | Agricultural, Agritech and Aquaculture Technicians nfd | ||||
311112 | Agricultural and Agritech Technician | ||||
311113 | Animal Husbandry Technician | ||||
311114 | Aquaculture or Fisheries Technician | ||||
311115 | Irrigation Designer | ||||
3112 | Medical Technicians | ||||
311200 | Medical Technicians nfd | ||||
311211 | Anaesthetic Technician | ||||
311212 | Cardiac Technician | ||||
311213 | Medical Laboratory Technician | ||||
311214 | Operating Theatre Technician | ||||
311215 | Pharmacy Technician | ||||
311216 | Pathology Collector / Phlebotomist | ||||
311217 | Respiratory Technician | ||||
311299 | Medical Technicians nec | ||||
3113 | Primary Products Assurance and Inspection Officers | ||||
311300 | Primary Products Assurance and Inspection Officers nfd | ||||
311311 | Fisheries Officer | ||||
311312 | Meat Inspector | ||||
311313 | Biosecurity Officer | ||||
311314 | Primary Products Quality Assurance Officer | ||||
311399 | Primary Products Assurance and Inspection Officers nec | ||||
3114 | Science Technicians | ||||
311400 | Science Technicians nfd | ||||
311411 | Chemistry Technician | ||||
311412 | Earth Science Technician | ||||
311413 | Life Science Technician | ||||
311414 | School Laboratory Technician | ||||
311415 | Hydrographer | ||||
311499 | Science Technicians nec | ||||
312 | Building and Engineering Technicians | ||||
3120 | Building and Engineering Technicians nfd | ||||
312000 | Building and Engineering Technicians nfd | ||||
3121 | Architectural, Building and Surveying Technicians | ||||
312100 | Architectural, Building and Surveying Technicians nfd | ||||
312111 | Architectural Draftsperson | ||||
312112 | Building Associate | ||||
312113 | Building Inspector | ||||
312114 | Construction Estimator | ||||
312115 | Plumbing Inspector | ||||
312116 | Surveying or Spatial Science Technician | ||||
312199 | Architectural, Building and Surveying Technicians nec | ||||
3122 | Civil Engineering Draftspersons and Technicians | ||||
312200 | Civil Engineering Draftspersons and Technicians nfd | ||||
312211 | Civil Engineering Draftsperson | ||||
312212 | Civil Engineering Technician | ||||
3123 | Electrical Engineering Draftspersons and Technicians | ||||
312300 | Electrical Engineering Draftspersons and Technicians nfd | ||||
312311 | Electrical Engineering Draftsperson | ||||
312312 | Electrical Engineering Technician | ||||
3124 | Electronic Engineering Draftspersons and Technicians | ||||
312400 | Electronic Engineering Draftspersons and Technicians nfd | ||||
312411 | Electronic Engineering Draftsperson | ||||
312412 | Electronic Engineering Technician | ||||
3125 | Mechanical Engineering Draftspersons and Technicians | ||||
312500 | Mechanical Engineering Draftspersons and Technicians nfd | ||||
312511 | Mechanical Engineering Draftsperson | ||||
312512 | Mechanical Engineering Technician | ||||
3126 | Safety Inspectors | ||||
312611 | Safety Inspector | ||||
3129 | Other Building and Engineering Technicians | ||||
312900 | Other Building and Engineering Technicians nfd | ||||
312911 | Maintenance Planner | ||||
312912 | Metallurgical or Materials Technician | ||||
312913 | Mine Deputy | ||||
312914 | Other Draftsperson | ||||
312999 | Building and Engineering Technicians nec | ||||
313 | ICT and Telecommunications Technicians | ||||
3130 | ICT and Telecommunications Technicians nfd | ||||
313000 | ICT and Telecommunications Technicians nfd | ||||
3131 | ICT Support Technicians | ||||
313100 | ICT Support Technicians nfd | ||||
313111 | Hardware Technician | ||||
313112 | ICT Customer Support Officer | ||||
313113 | Web Administrator | ||||
313199 | ICT Support Technicians nec | ||||
3132 | Telecommunications Technical Specialists | ||||
313200 | Telecommunications Technical Specialists nfd | ||||
313211 | Radiocommunications Technician | ||||
313212 | Telecommunications Field Engineer | ||||
313213 | Telecommunications Network Planner | ||||
313214 | Telecommunications Technical Officer or Technologist | ||||
32 | Automotive and Engineering Trades Workers | ||||
320 | Automotive and Engineering Trades Workers nfd | ||||
3200 | Automotive and Engineering Trades Workers nfd | ||||
320000 | Automotive and Engineering Trades Workers nfd | ||||
321 | Automotive Electricians and Mechanics | ||||
3210 | Automotive Electricians and Mechanics nfd | ||||
321000 | Automotive Electricians and Mechanics nfd | ||||
3211 | Automotive Electricians | ||||
321111 | Automotive Electrician | ||||
3212 | Motor Mechanics | ||||
321200 | Motor Mechanics nfd | ||||
321211 | Motor Mechanic (General) | ||||
321212 | Diesel Motor Mechanic | ||||
321213 | Motorcycle Mechanic | ||||
321214 | Small Engine Mechanic | ||||
322 | Fabrication Engineering Trades Workers | ||||
3220 | Fabrication Engineering Trades Workers nfd | ||||
322000 | Fabrication Engineering Trades Workers nfd | ||||
3221 | Metal Casting, Forging and Finishing Trades Workers | ||||
322100 | Metal Casting, Forging and Finishing Trades Workers nfd | ||||
322111 | Blacksmith | ||||
322112 | Electroplater | ||||
322113 | Farrier | ||||
322114 | Metal Casting Trades Worker | ||||
322115 | Metal Polisher | ||||
3222 | Sheetmetal Trades Workers | ||||
322211 | Sheetmetal Trades Worker | ||||
3223 | Structural Steel and Welding Trades Workers | ||||
322300 | Structural Steel and Welding Trades Workers nfd | ||||
322311 | Metal Fabricator | ||||
322312 | Pressure Welder | ||||
322313 | Welder (First Class) (Aus) / Welder (NZ) | ||||
323 | Mechanical Engineering Trades Workers | ||||
3230 | Mechanical Engineering Trades Workers nfd | ||||
323000 | Mechanical Engineering Trades Workers nfd | ||||
3231 | Aircraft Maintenance Engineers | ||||
323100 | Aircraft Maintenance Engineers nfd | ||||
323111 | Aircraft Maintenance Engineer (Avionics) | ||||
323112 | Aircraft Maintenance Engineer (Mechanical) | ||||
323113 | Aircraft Maintenance Engineer (Structures) | ||||
3232 | Metal Fitters and Machinists | ||||
323200 | Metal Fitters and Machinists nfd | ||||
323211 | Fitter (General) | ||||
323212 | Fitter and Turner | ||||
323213 | Fitter-Welder | ||||
323214 | Metal Machinist (First Class) | ||||
323215 | Textile, Clothing and Footwear Mechanic | ||||
323299 | Metal Fitters and Machinists nec | ||||
3233 | Precision Metal Trades Workers | ||||
323300 | Precision Metal Trades Workers nfd | ||||
323311 | Engraver | ||||
323312 | Gunsmith | ||||
323313 | Locksmith | ||||
323314 | Precision Instrument Maker and Repairer | ||||
323315 | Saw Doctor | ||||
323316 | Watch and Clock Maker and Repairer | ||||
3234 | Toolmakers and Engineering Patternmakers | ||||
323400 | Toolmakers and Engineering Patternmakers nfd | ||||
323411 | Engineering Patternmaker | ||||
323412 | Toolmaker | ||||
324 | Panelbeaters, and Vehicle Body Builders, Trimmers and Painters | ||||
3240 | Panelbeaters, and Vehicle Body Builders, Trimmers and Painters nfd | ||||
324000 | Panelbeaters, and Vehicle Body Builders, Trimmers and Painters nfd | ||||
3241 | Panelbeaters | ||||
324111 | Panelbeater | ||||
3242 | Vehicle Body Builders and Trimmers | ||||
324200 | Vehicle Body Builders and Trimmers nfd | ||||
324211 | Vehicle Body Builder | ||||
324212 | Vehicle Trimmer | ||||
3243 | Vehicle Painters | ||||
324311 | Vehicle Painter | ||||
33 | Construction Trades Workers | ||||
330 | Construction Trades Workers nfd | ||||
3300 | Construction Trades Workers nfd | ||||
330000 | Construction Trades Workers nfd | ||||
331 | Bricklayers, and Carpenters and Joiners | ||||
3310 | Bricklayers, and Carpenters and Joiners nfd | ||||
331000 | Bricklayers, and Carpenters and Joiners nfd | ||||
3311 | Bricklayers and Stonemasons | ||||
331100 | Bricklayers and Stonemasons nfd | ||||
331111 | Bricklayer | ||||
331112 | Stonemason | ||||
3312 | Carpenters and Joiners | ||||
331211 | Carpenter and Joiner | ||||
331212 | Carpenter | ||||
331213 | Joiner | ||||
332 | Floor Finishers and Painting Trades Workers | ||||
3320 | Floor Finishers and Painting Trades Workers nfd | ||||
332000 | Floor Finishers and Painting Trades Workers nfd | ||||
3321 | Floor Finishers | ||||
332111 | Floor Finisher | ||||
3322 | Painting Trades Workers | ||||
332211 | Painting Trades Worker | ||||
333 | Glaziers, Plasterers and Tilers | ||||
3330 | Glaziers, Plasterers and Tilers nfd | ||||
333000 | Glaziers, Plasterers and Tilers nfd | ||||
3331 | Glaziers | ||||
333111 | Glazier | ||||
3332 | Plasterers | ||||
333200 | Plasterers nfd | ||||
333211 | Fibrous Plasterer | ||||
333212 | Solid Plasterer | ||||
3333 | Roof Tilers | ||||
333311 | Roof Tiler | ||||
3334 | Wall and Floor Tilers | ||||
333411 | Wall and Floor Tiler | ||||
334 | Plumbers | ||||
3341 | Plumbers | ||||
334100 | Plumbers nfd | ||||
334111 | Plumber (General) | ||||
334112 | Airconditioning and Mechanical Services Plumber | ||||
334113 | Drainer / Drainlayer | ||||
334114 | Gasfitter | ||||
334115 | Roof Plumber | ||||
34 | Electrotechnology and Telecommunications Trades Workers | ||||
340 | Electrotechnology and Telecommunications Trades Workers nfd | ||||
3400 | Electrotechnology and Telecommunications Trades Workers nfd | ||||
340000 | Electrotechnology and Telecommunications Trades Workers nfd | ||||
341 | Electricians | ||||
3411 | Electricians | ||||
341100 | Electricians nfd | ||||
341111 | Electrician (General) | ||||
341112 | Electrician (Special Class) | ||||
341113 | Lift Mechanic | ||||
342 | Electronics and Telecommunications Trades Workers | ||||
3420 | Electronics and Telecommunications Trades Workers nfd | ||||
342000 | Electronics and Telecommunications Trades Workers nfd | ||||
3421 | Airconditioning and Refrigeration Mechanics | ||||
342111 | Airconditioning and Refrigeration Mechanic | ||||
3422 | Electrical Distribution Trades Workers | ||||
342200 | Electrical Distribution Trades Workers nfd | ||||
342211 | Electrical Linesworker / Electrical Line Mechanic | ||||
342212 | Technical Cable Jointer | ||||
3423 | Electronics Trades Workers | ||||
342300 | Electronics Trades Workers nfd | ||||
342311 | Business Machine Mechanic | ||||
342312 | Communications Operator | ||||
342313 | Electronic Equipment Trades Worker | ||||
342314 | Electronic Instrument Trades Worker (General) | ||||
342315 | Electronic Instrument Trades Worker (Special Class) | ||||
3424 | Telecommunications Trades Workers | ||||
342400 | Telecommunications Trades Workers nfd | ||||
342411 | Cabler (Data and Telecommunications) | ||||
342412 | Telecommunications Cable Jointer | ||||
342413 | Telecommunications Linesworker / Telecommunications Line Mechanic | ||||
342414 | Telecommunications Technician | ||||
35 | Food Trades Workers | ||||
351 | Food Trades Workers | ||||
3510 | Food Trades Workers nfd | ||||
351000 | Food Trades Workers nfd | ||||
3511 | Bakers and Pastrycooks | ||||
351100 | Bakers and Pastrycooks nfd | ||||
351111 | Baker | ||||
351112 | Pastrycook | ||||
3512 | Butchers and Smallgoods Makers | ||||
351211 | Butcher or Smallgoods Maker | ||||
3513 | Chefs | ||||
351311 | Chef | ||||
3514 | Cooks | ||||
351411 | Cook | ||||
36 | Skilled Animal, Agricultural and Horticultural Workers | ||||
360 | Skilled Animal, Agricultural and Horticultural Workers nfd | ||||
3600 | Skilled Animal, Agricultural and Horticultural Workers nfd | ||||
360000 | Skilled Animal, Agricultural and Horticultural Workers nfd | ||||
361 | Animal Attendants and Trainers, and Veterinary Nurses | ||||
3610 | Animal Attendants and Trainers, and Veterinary Nurses nfd | ||||
361000 | Animal Attendants and Trainers, and Veterinary Nurses nfd | ||||
3611 | Animal Attendants and Trainers | ||||
361100 | Animal Attendants and Trainers nfd | ||||
361111 | Dog Handler or Trainer | ||||
361112 | Horse Trainer | ||||
361113 | Pet Groomer | ||||
361114 | Zookeeper | ||||
361115 | Kennel Hand | ||||
361116 | Track Rider | ||||
361199 | Animal Attendants and Trainers nec | ||||
3613 | Veterinary Nurses | ||||
361311 | Veterinary Nurse | ||||
362 | Horticultural Trades Workers | ||||
3620 | Horticultural Trades Workers nfd | ||||
362000 | Horticultural Trades Workers nfd | ||||
3621 | Florists | ||||
362111 | Florist | ||||
3623 | Sports Turf Managers and Trades Workers | ||||
362312 | Sports Turf Manager | ||||
362313 | Sports Turf Trades Worker | ||||
3624 | Nurserypersons | ||||
362411 | Nurseryperson | ||||
3625 | Arboriculture Workers | ||||
362511 | Arborist | ||||
362512 | Tree Worker | ||||
3626 | Gardeners (General) | ||||
362611 | Gardener (General) | ||||
3627 | Landscape Gardeners and Irrigation Technicians | ||||
362700 | Landscape Gardeners and Irrigation Technicians nfd | ||||
362711 | Landscape Gardener | ||||
362712 | Irrigation Technician | ||||
363 | Primary Production Supervisors and Specialists | ||||
3630 | Primary Production Supervisors and Specialists nfd | ||||
363000 | Primary Production Supervisors and Specialists nfd | ||||
3631 | Senior Aquaculture, Crop and Forestry Workers | ||||
363100 | Senior Aquaculture, Crop and Forestry Workers nfd | ||||
363111 | Aquaculture Supervisor | ||||
363112 | Fishing Leading Hand | ||||
363113 | Forestry Operations Supervisor | ||||
363114 | Horticultural Supervisor or Specialist | ||||
363115 | Senior Broadacre Crop and Livestock Farm Worker | ||||
363116 | Senior Broadacre Crop Farm Worker | ||||
363117 | Vineyard Supervisor | ||||
363199 | Senior Aquaculture, Crop and Forestry Workers nec | ||||
3632 | Senior Livestock Farm Workers | ||||
363200 | Senior Livestock Farm Workers nfd | ||||
363211 | Senior Beef Cattle Station Worker | ||||
363212 | Senior Cattle and Sheep Farm Worker | ||||
363213 | Senior Dairy Cattle Farm Worker | ||||
363214 | Senior Piggery Stockperson | ||||
363215 | Senior Sheep Farm Worker | ||||
363299 | Senior Livestock Farm Workers nec | ||||
3633 | Shearers and Wool Classers | ||||
363300 | Shearers and Wool Classers nfd | ||||
363311 | Shearer | ||||
363312 | Wool Classer | ||||
39 | Other Technicians and Trades Workers | ||||
390 | Other Technicians and Trades Workers nfd | ||||
3900 | Other Technicians and Trades Workers nfd | ||||
390000 | Other Technicians and Trades Workers nfd | ||||
391 | Hairdressers | ||||
3911 | Hairdressers | ||||
391111 | Hairdresser | ||||
392 | Printing Trades Workers | ||||
3920 | Printing Trades Workers nfd | ||||
392000 | Printing Trades Workers nfd | ||||
3921 | Print Finishers and Screen Printers | ||||
392100 | Print Finishers and Screen Printers nfd | ||||
392111 | Print Finisher | ||||
392112 | Screen Printer | ||||
3922 | Graphic Pre-press Trades Workers | ||||
392211 | Graphic Pre-press Trades Worker | ||||
3923 | Printers | ||||
392300 | Printers nfd | ||||
392311 | Printing Machinist | ||||
392312 | Small Offset Printer | ||||
393 | Textile, Clothing and Footwear Trades Workers | ||||
3930 | Textile, Clothing and Footwear Trades Workers nfd | ||||
393000 | Textile, Clothing and Footwear Trades Workers nfd | ||||
3931 | Canvas and Leather Goods Makers | ||||
393100 | Canvas and Leather Goods Makers nfd | ||||
393111 | Canvas Goods Fabricator | ||||
393112 | Leather Goods Maker | ||||
393113 | Sail Maker | ||||
393114 | Shoemaker | ||||
3932 | Clothing Trades Workers | ||||
393200 | Clothing Trades Workers nfd | ||||
393211 | Apparel Cutter | ||||
393212 | Clothing Patternmaker | ||||
393213 | Dressmaker or Tailor | ||||
393299 | Clothing Trades Workers nec | ||||
3933 | Upholsterers | ||||
393311 | Upholsterer | ||||
394 | Wood Trades Workers | ||||
3940 | Wood Trades Workers nfd | ||||
394000 | Wood Trades Workers nfd | ||||
3941 | Cabinetmakers | ||||
394111 | Cabinetmaker | ||||
3942 | Wood Machinists and Other Wood Trades Workers | ||||
394200 | Wood Machinists and Other Wood Trades Workers nfd | ||||
394211 | Furniture Finisher | ||||
394212 | Picture Framer | ||||
394213 | Wood Machinist | ||||
394214 | Wood Turner | ||||
394299 | Wood Machinists and Other Wood Trades Workers nec | ||||
399 | Miscellaneous Technicians and Trades Workers | ||||
3990 | Miscellaneous Technicians and Trades Workers nfd | ||||
399000 | Miscellaneous Technicians and Trades Workers nfd | ||||
3991 | Boat Builders and Shipwrights | ||||
399100 | Boat Builders and Shipwrights nfd | ||||
399111 | Boat Builder and Repairer | ||||
399112 | Shipwright | ||||
3992 | Chemical, Gas, Petroleum and Power Generation Plant Operators | ||||
399200 | Chemical, Gas, Petroleum and Power Generation Plant Operators nfd | ||||
399211 | Chemical Plant Operator | ||||
399212 | Gas or Petroleum Operator | ||||
399213 | Power Generation Plant Operator | ||||
3993 | Gallery, Library and Museum Technicians | ||||
399300 | Gallery, Library and Museum Technicians nfd | ||||
399311 | Gallery or Museum Technician | ||||
399312 | Library Technician | ||||
3994 | Jewellers | ||||
399411 | Jeweller | ||||
3995 | Performing Arts Technicians | ||||
399500 | Performing Arts Technicians nfd | ||||
399511 | Broadcast Transmitter Operator | ||||
399512 | Camera Operator (Film, Television or Video) | ||||
399513 | Light Technician | ||||
399514 | Make Up Artist | ||||
399515 | Musical Instrument Maker or Repairer | ||||
399516 | Sound Technician | ||||
399517 | Television Equipment Operator | ||||
399599 | Performing Arts Technicians nec | ||||
3996 | Signwriters | ||||
399611 | Signwriter | ||||
3999 | Other Miscellaneous Technicians and Trades Workers | ||||
399900 | Other Miscellaneous Technicians and Trades Workers nfd | ||||
399911 | Diver | ||||
399912 | Interior Decorator | ||||
399913 | Optical Dispenser / Dispensing Optician | ||||
399914 | Optical Mechanic | ||||
399915 | Photographer's Assistant | ||||
399916 | Plastics Technician | ||||
399918 | Fire Protection Equipment Technician | ||||
399999 | Technicians and Trades Workers nec |
4 Community and Personal Service Workers
4 | Community and Personal Service Workers | ||||
40 | Community and Personal Service Workers nfd | ||||
400 | Community and Personal Service Workers nfd | ||||
4000 | Community and Personal Service Workers nfd | ||||
400000 | Community and Personal Service Workers nfd | ||||
41 | Health and Welfare Support Workers | ||||
411 | Health and Welfare Support Workers | ||||
4110 | Health and Welfare Support Workers nfd | ||||
411000 | Health and Welfare Support Workers nfd | ||||
4111 | Ambulance Officers and Paramedics | ||||
411100 | Ambulance Officers and Paramedics nfd | ||||
411111 | Ambulance Officer | ||||
411112 | Intensive Care Ambulance Paramedic (Aus) / Ambulance Paramedic (NZ) | ||||
4112 | Dental Hygienists, Technicians and Therapists | ||||
411200 | Dental Hygienists, Technicians and Therapists nfd | ||||
411211 | Dental Hygienist | ||||
411212 | Dental Prosthetist | ||||
411213 | Dental Technician | ||||
411214 | Dental Therapist | ||||
4113 | Diversional Therapists | ||||
411311 | Diversional Therapist | ||||
4114 | Enrolled and Mothercraft Nurses | ||||
411400 | Enrolled and Mothercraft Nurses nfd | ||||
411411 | Enrolled Nurse | ||||
411412 | Mothercraft Nurse | ||||
4115 | Indigenous Health Workers | ||||
411511 | Aboriginal and Torres Strait Islander Health Worker | ||||
4116 | Massage Therapists | ||||
411611 | Massage Therapist | ||||
4117 | Welfare Support Workers | ||||
411700 | Welfare Support Workers nfd | ||||
411711 | Community Worker | ||||
411712 | Disabilities Services Officer | ||||
411713 | Family Support Worker | ||||
411714 | Parole or Probation Officer | ||||
411715 | Residential Care Officer | ||||
411716 | Youth Worker | ||||
42 | Carers and Aides | ||||
420 | Carers and Aides nfd | ||||
4200 | Carers and Aides nfd | ||||
420000 | Carers and Aides nfd | ||||
421 | Child Carers | ||||
4211 | Child Carers | ||||
421100 | Child Carers nfd | ||||
421111 | Child Care Worker | ||||
421112 | Family Day Care Worker | ||||
421113 | Nanny | ||||
421114 | Out of School Hours Care Worker | ||||
422 | Education Aides | ||||
4221 | Education Aides | ||||
422100 | Education Aides nfd | ||||
422111 | Aboriginal and Torres Strait Islander Education Worker | ||||
422112 | Integration Aide | ||||
422115 | Preschool Aide | ||||
422116 | Teachers' Aide | ||||
423 | Personal Carers and Assistants | ||||
4230 | Personal Carers and Assistants nfd | ||||
423000 | Personal Carers and Assistants nfd | ||||
4231 | Aged and Disabled Carers | ||||
423111 | Aged or Disabled Carer | ||||
4232 | Dental Assistants | ||||
423211 | Dental Assistant | ||||
4233 | Nursing Support and Personal Care Workers | ||||
423300 | Nursing Support and Personal Care Workers nfd | ||||
423311 | Hospital Orderly | ||||
423312 | Nursing Support Worker | ||||
423313 | Personal Care Assistant | ||||
423314 | Therapy Aide | ||||
4234 | Special Care Workers | ||||
423400 | Special Care Workers nfd | ||||
423411 | Child or Youth Residential Care Assistant | ||||
423412 | Hostel Parent | ||||
423413 | Refuge Worker | ||||
43 | Hospitality Workers | ||||
431 | Hospitality Workers | ||||
4310 | Hospitality Workers nfd | ||||
431000 | Hospitality Workers nfd | ||||
4311 | Bar Attendants and Baristas | ||||
431100 | Bar Attendants and Baristas nfd | ||||
431111 | Bar Attendant | ||||
431112 | Barista | ||||
4312 | Cafe Workers | ||||
431211 | Cafe Worker | ||||
4313 | Gaming Workers | ||||
431311 | Gaming Worker | ||||
4314 | Hotel Service Managers | ||||
431411 | Hotel Service Manager | ||||
4315 | Waiters | ||||
431511 | Waiter | ||||
4319 | Other Hospitality Workers | ||||
431900 | Other Hospitality Workers nfd | ||||
431911 | Bar Useful or Busser | ||||
431912 | Doorperson or Luggage Porter | ||||
431999 | Hospitality Workers nec | ||||
44 | Protective Service Workers | ||||
440 | Protective Service Workers nfd | ||||
4400 | Protective Service Workers nfd | ||||
440000 | Protective Service Workers nfd | ||||
441 | Defence Force Members, Fire Fighters and Police | ||||
4410 | Defence Force Members, Fire Fighters and Police nfd | ||||
441000 | Defence Force Members, Fire Fighters and Police nfd | ||||
4411 | Defence Force Members - Other Ranks | ||||
441111 | Defence Force Member - Other Ranks | ||||
4412 | Fire and Emergency Workers | ||||
441200 | Fire and Emergency Workers nfd | ||||
441211 | Emergency Service Worker | ||||
441212 | Fire Fighter | ||||
4413 | Police | ||||
441300 | Police nfd | ||||
441311 | Detective | ||||
441312 | Police Officer | ||||
442 | Prison and Security Officers | ||||
4420 | Prison and Security Officers nfd | ||||
442000 | Prison and Security Officers nfd | ||||
4421 | Prison Officers | ||||
442111 | Prison Officer | ||||
4422 | Security Officers and Guards | ||||
442200 | Security Officers and Guards nfd | ||||
442211 | Alarm, Security or Surveillance Monitor | ||||
442212 | Armoured Car Escort | ||||
442213 | Crowd Controller | ||||
442214 | Private Investigator | ||||
442215 | Retail Loss Prevention Officer | ||||
442216 | Security Consultant | ||||
442217 | Security Officer | ||||
442299 | Security Officers and Guards nec | ||||
45 | Sports and Personal Service Workers | ||||
450 | Sports and Personal Service Workers nfd | ||||
4500 | Sports and Personal Service Workers nfd | ||||
450000 | Sports and Personal Service Workers nfd | ||||
451 | Personal Service and Travel Workers | ||||
4510 | Personal Service and Travel Workers nfd | ||||
451000 | Personal Service and Travel Workers nfd | ||||
4511 | Beauty Therapists | ||||
451111 | Beauty Therapist | ||||
4512 | Driving Instructors | ||||
451211 | Driving Instructor | ||||
4513 | Funeral Workers | ||||
451311 | Funeral Director | ||||
451399 | Funeral Workers nec | ||||
4514 | Gallery, Museum and Tour Guides | ||||
451400 | Gallery, Museum and Tour Guides nfd | ||||
451411 | Gallery or Museum Guide | ||||
451412 | Tour Guide | ||||
4515 | Personal Care Consultants | ||||
451500 | Personal Care Consultants nfd | ||||
451511 | Natural Remedy Consultant | ||||
451512 | Weight Loss Consultant | ||||
451513 | Herbalist (Western) | ||||
4516 | Tourism and Travel Advisers | ||||
451600 | Tourism and Travel Advisers nfd | ||||
451611 | Tourist Information Officer | ||||
451612 | Travel Consultant | ||||
4517 | Travel Attendants | ||||
451700 | Travel Attendants nfd | ||||
451711 | Flight Attendant | ||||
451799 | Travel Attendants nec | ||||
4518 | Other Personal Service Workers | ||||
451800 | Other Personal Service Workers nfd | ||||
451811 | Civil Celebrant | ||||
451812 | Hair or Beauty Salon Assistant | ||||
451813 | Sex Worker or Escort | ||||
451814 | Body Artist | ||||
451815 | First Aid Trainer | ||||
451816 | Religious Assistant | ||||
451899 | Personal Service Workers nec | ||||
452 | Sports and Fitness Workers | ||||
4520 | Sports and Fitness Workers nfd | ||||
452000 | Sports and Fitness Workers nfd | ||||
4521 | Fitness Instructors | ||||
452111 | Fitness Instructor | ||||
4522 | Outdoor Adventure Guides | ||||
452200 | Outdoor Adventure Guides nfd | ||||
452211 | Bungy Jump Master | ||||
452212 | Fishing Guide | ||||
452213 | Hunting Guide | ||||
452214 | Mountain or Glacier Guide | ||||
452215 | Outdoor Adventure Instructor | ||||
452216 | Trekking Guide | ||||
452217 | Whitewater Rafting Guide | ||||
452299 | Outdoor Adventure Guides nec | ||||
4523 | Sports Coaches, Instructors and Officials | ||||
452300 | Sports Coaches, Instructors and Officials nfd | ||||
452311 | Diving Instructor (Open Water) | ||||
452312 | Gymnastics Coach or Instructor | ||||
452313 | Horse Riding Coach or Instructor | ||||
452314 | Snowsport Instructor | ||||
452315 | Swimming Coach or Instructor | ||||
452316 | Tennis Coach | ||||
452317 | Other Sports Coach or Instructor | ||||
452318 | Dog and Horse Racing Official | ||||
452321 | Sports Development Officer | ||||
452322 | Sports Umpire | ||||
452323 | Other Sports Official | ||||
4524 | Sportspersons | ||||
452400 | Sportspersons nfd | ||||
452411 | Footballer | ||||
452412 | Golfer | ||||
452413 | Jockey | ||||
452414 | Lifeguard | ||||
452499 | Sportspersons nec |
5 Clerical and Administrative Workers
5 | Clerical and Administrative Workers | ||||
50 | Clerical and Administrative Workers nfd | ||||
500 | Clerical and Administrative Workers nfd | ||||
5000 | Clerical and Administrative Workers nfd | ||||
500000 | Clerical and Administrative Workers nfd | ||||
51 | Office Managers and Program Administrators | ||||
510 | Office Managers and Program Administrators nfd | ||||
5100 | Office Managers and Program Administrators nfd | ||||
510000 | Office Managers and Program Administrators nfd | ||||
511 | Contract, Program and Project Administrators | ||||
5111 | Contract, Program and Project Administrators | ||||
511100 | Contract, Program and Project Administrators nfd | ||||
511111 | Contract Administrator | ||||
511112 | Program or Project Administrator | ||||
512 | Office and Practice Managers | ||||
5120 | Office and Practice Managers nfd | ||||
512000 | Office and Practice Managers nfd | ||||
5121 | Office Managers | ||||
512111 | Office Manager | ||||
5122 | Practice Managers | ||||
512200 | Practice Managers nfd | ||||
512211 | Health Practice Manager | ||||
512299 | Practice Managers nec | ||||
52 | Personal Assistants and Secretaries | ||||
521 | Personal Assistants and Secretaries | ||||
5210 | Personal Assistants and Secretaries nfd | ||||
521000 | Personal Assistants and Secretaries nfd | ||||
5211 | Personal Assistants | ||||
521111 | Personal Assistant | ||||
5212 | Secretaries | ||||
521200 | Secretaries nfd | ||||
521211 | Secretary (General) | ||||
521212 | Legal Secretary | ||||
53 | General Clerical Workers | ||||
530 | General Clerical Workers nfd | ||||
5300 | General Clerical Workers nfd | ||||
530000 | General Clerical Workers nfd | ||||
531 | General Clerks | ||||
5311 | General Clerks | ||||
531111 | General Clerk | ||||
532 | Keyboard Operators | ||||
5321 | Keyboard Operators | ||||
532100 | Keyboard Operators nfd | ||||
532111 | Data Entry Operator | ||||
532112 | Machine Shorthand Reporter | ||||
532113 | Word Processing Operator | ||||
54 | Inquiry Clerks and Receptionists | ||||
540 | Inquiry Clerks and Receptionists nfd | ||||
5400 | Inquiry Clerks and Receptionists nfd | ||||
540000 | Inquiry Clerks and Receptionists nfd | ||||
541 | Call or Contact Centre Information Clerks | ||||
5410 | Call or Contact Centre Information Clerks nfd | ||||
541000 | Call or Contact Centre Information Clerks nfd | ||||
5411 | Call or Contact Centre Workers | ||||
541100 | Call or Contact Centre Workers nfd | ||||
541111 | Call or Contact Centre Team Leader | ||||
541112 | Call or Contact Centre Operator | ||||
5412 | Information Officers | ||||
541211 | Information Officer | ||||
542 | Receptionists | ||||
5421 | Receptionists | ||||
542100 | Receptionists nfd | ||||
542111 | Receptionist (General) | ||||
542112 | Admissions Clerk | ||||
542113 | Hotel or Motel Receptionist | ||||
542114 | Medical Receptionist | ||||
55 | Numerical Clerks | ||||
550 | Numerical Clerks nfd | ||||
5500 | Numerical Clerks nfd | ||||
550000 | Numerical Clerks nfd | ||||
551 | Accounting Clerks and Bookkeepers | ||||
5510 | Accounting Clerks and Bookkeepers nfd | ||||
551000 | Accounting Clerks and Bookkeepers nfd | ||||
5511 | Accounting Clerks | ||||
551100 | Accounting Clerks nfd | ||||
551111 | Accounts Clerk | ||||
551112 | Cost Clerk | ||||
5512 | Bookkeepers | ||||
551211 | Bookkeeper | ||||
5513 | Payroll Clerks | ||||
551311 | Payroll Clerk | ||||
552 | Financial and Insurance Clerks | ||||
5520 | Financial and Insurance Clerks nfd | ||||
552000 | Financial and Insurance Clerks nfd | ||||
5521 | Bank Workers | ||||
552111 | Bank Worker | ||||
5522 | Credit and Loans Officers (Aus) / Finance Clerks (NZ) | ||||
552211 | Credit or Loans Officer (Aus) / Finance Clerk (NZ) | ||||
5523 | Insurance, Money Market and Statistical Clerks | ||||
552300 | Insurance, Money Market and Statistical Clerks nfd | ||||
552311 | Bookmaker | ||||
552312 | Insurance Consultant | ||||
552313 | Money Market Clerk | ||||
552314 | Statistical Clerk | ||||
56 | Clerical and Office Support Workers | ||||
561 | Clerical and Office Support Workers | ||||
5610 | Clerical and Office Support Workers nfd | ||||
561000 | Clerical and Office Support Workers nfd | ||||
5611 | Betting Clerks | ||||
561100 | Betting Clerks nfd | ||||
561111 | Betting Agency Counter Clerk | ||||
561112 | Bookmaker's Clerk | ||||
561113 | Telephone Betting Clerk | ||||
561199 | Betting Clerks nec | ||||
5612 | Couriers and Postal Deliverers | ||||
561200 | Couriers and Postal Deliverers nfd | ||||
561211 | Courier | ||||
561212 | Postal Delivery Officer | ||||
5613 | Filing and Registry Clerks | ||||
561311 | Filing or Registry Clerk | ||||
5614 | Mail Sorters | ||||
561400 | Mail Sorters nfd | ||||
561411 | Mail Clerk | ||||
561412 | Postal Sorting Officer | ||||
5615 | Survey Interviewers | ||||
561511 | Survey Interviewer | ||||
5616 | Switchboard Operators | ||||
561611 | Switchboard Operator | ||||
5619 | Other Clerical and Office Support Workers | ||||
561900 | Other Clerical and Office Support Workers nfd | ||||
561911 | Classified Advertising Clerk | ||||
561912 | Meter Reader | ||||
561913 | Parking Inspector | ||||
561999 | Clerical and Office Support Workers nec | ||||
59 | Other Clerical and Administrative Workers | ||||
590 | Other Clerical and Administrative Workers nfd | ||||
5900 | Other Clerical and Administrative Workers nfd | ||||
590000 | Other Clerical and Administrative Workers nfd | ||||
591 | Logistics Clerks | ||||
5910 | Logistics Clerks nfd | ||||
591000 | Logistics Clerks nfd | ||||
5911 | Purchasing and Supply Logistics Clerks | ||||
591100 | Purchasing and Supply Logistics Clerks nfd | ||||
591112 | Production Clerk | ||||
591113 | Purchasing Officer | ||||
591115 | Stock Clerk | ||||
591116 | Warehouse Administrator | ||||
591117 | Order Clerk | ||||
5912 | Transport and Despatch Clerks | ||||
591200 | Transport and Despatch Clerks nfd | ||||
591211 | Despatching and Receiving Clerk | ||||
591212 | Import-Export Clerk | ||||
599 | Miscellaneous Clerical and Administrative Workers | ||||
5990 | Miscellaneous Clerical and Administrative Workers nfd | ||||
599000 | Miscellaneous Clerical and Administrative Workers nfd | ||||
5991 | Conveyancers and Legal Executives | ||||
599100 | Conveyancers and Legal Executives nfd | ||||
599111 | Conveyancer | ||||
599112 | Legal Executive | ||||
5992 | Court and Legal Clerks | ||||
599200 | Court and Legal Clerks nfd | ||||
599211 | Clerk of Court | ||||
599212 | Court Bailiff or Sheriff (Aus) / Court Collections Officer (NZ) | ||||
599213 | Court Orderly (Aus) / Court Registry Officer (NZ) | ||||
599214 | Law Clerk | ||||
599215 | Trust Officer | ||||
5993 | Debt Collectors | ||||
599311 | Debt Collector | ||||
5994 | Human Resource Clerks | ||||
599411 | Human Resource Clerk | ||||
5995 | Inspectors and Regulatory Officers | ||||
599500 | Inspectors and Regulatory Officers nfd | ||||
599511 | Customs Officer | ||||
599512 | Immigration Officer | ||||
599513 | Motor Vehicle Licence Examiner | ||||
599514 | Invasive Pest, Weed and Disease Inspector | ||||
599515 | Social Security Assessor | ||||
599516 | Taxation Inspector | ||||
599517 | Train Examiner | ||||
599518 | Transport Operations Inspector | ||||
599521 | Water Inspector | ||||
599599 | Inspectors and Regulatory Officers nec | ||||
5996 | Insurance Investigators, Loss Adjusters and Risk Surveyors | ||||
599600 | Insurance Investigators, Loss Adjusters and Risk Surveyors nfd | ||||
599611 | Insurance Investigator | ||||
599612 | Insurance Loss Adjuster | ||||
599613 | Insurance Risk Surveyor | ||||
5997 | Library Assistants | ||||
599711 | Library Assistant | ||||
5999 | Other Miscellaneous Clerical and Administrative Workers | ||||
599900 | Other Miscellaneous Clerical and Administrative Workers nfd | ||||
599912 | Production Assistant (Film, Television, Radio or Stage) | ||||
599913 | Proof Reader | ||||
599914 | Radio Despatcher | ||||
599915 | Clinical Coder | ||||
599916 | Facilities Administrator | ||||
599999 | Clerical and Administrative Workers nec |
6 Sales Workers
6 | Sales Workers | ||||
60 | Sales Workers nfd | ||||
600 | Sales Workers nfd | ||||
6000 | Sales Workers nfd | ||||
600000 | Sales Workers nfd | ||||
61 | Sales Representatives and Agents | ||||
610 | Sales Representatives and Agents nfd | ||||
6100 | Sales Representatives and Agents nfd | ||||
610000 | Sales Representatives and Agents nfd | ||||
611 | Insurance Agents and Sales Representatives | ||||
6110 | Insurance Agents and Sales Representatives nfd | ||||
611000 | Insurance Agents and Sales Representatives nfd | ||||
6111 | Auctioneers, and Stock and Station Agents | ||||
611100 | Auctioneers, and Stock and Station Agents nfd | ||||
611111 | Auctioneer | ||||
611112 | Stock and Station Agent | ||||
6112 | Insurance Agents | ||||
611211 | Insurance Agent | ||||
6113 | Sales Representatives | ||||
611300 | Sales Representatives nfd | ||||
611311 | Sales Representative (Building and Plumbing Supplies) | ||||
611312 | Sales Representative (Business Services) | ||||
611313 | Sales Representative (Motor Vehicle Parts and Accessories) | ||||
611314 | Sales Representative (Personal and Household Goods) | ||||
611399 | Sales Representatives nec | ||||
612 | Real Estate Sales Agents | ||||
6121 | Real Estate Sales Agents | ||||
612100 | Real Estate Sales Agents nfd | ||||
612111 | Business Broker | ||||
612112 | Property Manager | ||||
612113 | Real Estate Agency Principal / Real Estate Agency Licensee | ||||
612114 | Real Estate Agent | ||||
612115 | Real Estate Representative | ||||
62 | Sales Assistants and Salespersons | ||||
621 | Sales Assistants and Salespersons | ||||
6210 | Sales Assistants and Salespersons nfd | ||||
621000 | Sales Assistants and Salespersons nfd | ||||
6211 | Sales Assistants (General) | ||||
621111 | Sales Assistant (General) | ||||
6212 | ICT Sales Assistants | ||||
621211 | ICT Sales Assistant | ||||
6213 | Motor Vehicle and Vehicle Parts Salespersons | ||||
621300 | Motor Vehicle and Vehicle Parts Salespersons nfd | ||||
621311 | Motor Vehicle or Caravan Salesperson | ||||
621312 | Motor Vehicle Parts Interpreter / Automotive Parts Salesperson | ||||
6214 | Pharmacy Sales Assistants | ||||
621411 | Pharmacy Sales Assistant | ||||
6215 | Retail Supervisors | ||||
621511 | Retail Supervisor | ||||
6216 | Service Station Attendants | ||||
621611 | Service Station Attendant | ||||
6217 | Street Vendors and Related Salespersons | ||||
621700 | Street Vendors and Related Salespersons nfd | ||||
621711 | Cash Van Salesperson | ||||
621712 | Door-to-door Salesperson | ||||
621713 | Street Vendor | ||||
6219 | Other Sales Assistants and Salespersons | ||||
621900 | Other Sales Assistants and Salespersons nfd | ||||
621911 | Materials Recycler | ||||
621912 | Rental Salesperson | ||||
621999 | Sales Assistants and Salespersons nec | ||||
63 | Sales Support Workers | ||||
630 | Sales Support Workers nfd | ||||
6300 | Sales Support Workers nfd | ||||
630000 | Sales Support Workers nfd | ||||
631 | Checkout Operators and Office Cashiers | ||||
6311 | Checkout Operators and Office Cashiers | ||||
631100 | Checkout Operators and Office Cashiers nfd | ||||
631111 | Checkout Operator | ||||
631112 | Office Cashier | ||||
639 | Miscellaneous Sales Support Workers | ||||
6390 | Miscellaneous Sales Support Workers nfd | ||||
639000 | Miscellaneous Sales Support Workers nfd | ||||
6391 | Models and Sales Demonstrators | ||||
639100 | Models and Sales Demonstrators nfd | ||||
639111 | Model | ||||
639112 | Sales Demonstrator | ||||
6392 | Retail and Wool Buyers | ||||
639200 | Retail and Wool Buyers nfd | ||||
639211 | Retail Buyer | ||||
639212 | Wool Buyer | ||||
6393 | Telemarketers | ||||
639311 | Telemarketer | ||||
6394 | Ticket Salespersons | ||||
639400 | Ticket Salespersons nfd | ||||
639411 | Ticket Seller | ||||
639412 | Transport Conductor | ||||
6395 | Visual Merchandisers | ||||
639511 | Visual Merchandiser | ||||
6399 | Other Sales Support Workers | ||||
639911 | Other Sales Support Worker |
7 Machinery Operators and Drivers
7 | Machinery Operators and Drivers | ||||
70 | Machinery Operators and Drivers nfd | ||||
700 | Machinery Operators and Drivers nfd | ||||
7000 | Machinery Operators and Drivers nfd | ||||
700000 | Machinery Operators and Drivers nfd | ||||
71 | Machine and Stationary Plant Operators | ||||
710 | Machine and Stationary Plant Operators nfd | ||||
7100 | Machine and Stationary Plant Operators nfd | ||||
710000 | Machine and Stationary Plant Operators nfd | ||||
711 | Machine Operators | ||||
7110 | Machine Operators nfd | ||||
711000 | Machine Operators nfd | ||||
7111 | Clay, Concrete, Glass and Stone Processing Machine Operators | ||||
711100 | Clay, Concrete, Glass and Stone Processing Machine Operators nfd | ||||
711111 | Clay Products Machine Operator | ||||
711112 | Concrete Products Machine Operator | ||||
711113 | Glass Production Machine Operator | ||||
711114 | Stone Processing Machine Operator | ||||
711199 | Clay, Concrete, Glass and Stone Processing Machine Operators nec | ||||
7112 | Industrial Spraypainters | ||||
711211 | Industrial Spraypainter | ||||
7113 | Paper and Wood Processing Machine Operators | ||||
711300 | Paper and Wood Processing Machine Operators nfd | ||||
711311 | Paper Products Machine Operator | ||||
711313 | Sawmilling Operator | ||||
711314 | Other Wood Processing Machine Operator | ||||
7114 | Photographic Developers and Printers | ||||
711411 | Photographic Developer and Printer | ||||
7115 | Plastics and Rubber Production Machine Operators | ||||
711500 | Plastics and Rubber Production Machine Operators nfd | ||||
711511 | Plastic Cablemaking Machine Operator | ||||
711512 | Plastic Compounding and Reclamation Machine Operator | ||||
711513 | Plastics Fabricator or Welder | ||||
711514 | Plastics Production Machine Operator (General) | ||||
711515 | Reinforced Plastic and Composite Production Worker | ||||
711516 | Rubber Production Machine Operator | ||||
711599 | Plastics and Rubber Production Machine Operators nec | ||||
7116 | Sewing Machinists | ||||
711611 | Sewing Machinist | ||||
7117 | Textile and Footwear Production Machine Operators | ||||
711700 | Textile and Footwear Production Machine Operators nfd | ||||
711711 | Footwear Production Machine Operator | ||||
711712 | Hide and Skin Processing Machine Operator | ||||
711713 | Knitting Machine Operator | ||||
711714 | Textile Dyeing and Finishing Machine Operator | ||||
711715 | Weaving Machine Operator | ||||
711716 | Yarn Carding and Spinning Machine Operator | ||||
711799 | Textile and Footwear Production Machine Operators nec | ||||
7119 | Other Machine Operators | ||||
711900 | Other Machine Operators nfd | ||||
711911 | Chemical Production Machine Operator | ||||
711912 | Motion Picture Projectionist | ||||
711913 | Sand Blaster | ||||
711914 | Sterilisation Technician | ||||
711999 | Machine Operators nec | ||||
712 | Stationary Plant Operators | ||||
7120 | Stationary Plant Operators nfd | ||||
712000 | Stationary Plant Operators nfd | ||||
7121 | Crane, Hoist and Lift Operators | ||||
712111 | Crane, Hoist or Lift Operator | ||||
7122 | Drillers, Miners and Shot Firers | ||||
712200 | Drillers, Miners and Shot Firers nfd | ||||
712211 | Driller | ||||
712212 | Miner | ||||
712213 | Shot Firer | ||||
7123 | Engineering Production Workers | ||||
712311 | Engineering Production Worker | ||||
7129 | Other Stationary Plant Operators | ||||
712900 | Other Stationary Plant Operators nfd | ||||
712911 | Boiler or Engine Operator | ||||
712912 | Bulk Materials Handling Plant Operator | ||||
712913 | Cement Production Plant Operator | ||||
712914 | Concrete Batching Plant Operator | ||||
712915 | Concrete Pump Operator | ||||
712916 | Paper and Pulp Mill Operator | ||||
712917 | Railway Signal Operator | ||||
712918 | Train Controller | ||||
712921 | Waste Water or Water Plant Operator | ||||
712922 | Weighbridge Operator | ||||
712999 | Stationary Plant Operators nec | ||||
72 | Mobile Plant Operators | ||||
721 | Mobile Plant Operators | ||||
7210 | Mobile Plant Operators nfd | ||||
721000 | Mobile Plant Operators nfd | ||||
7211 | Agricultural, Forestry and Horticultural Plant Operators | ||||
721100 | Agricultural, Forestry and Horticultural Plant Operators nfd | ||||
721111 | Agricultural and Horticultural Mobile Plant Operator | ||||
721112 | Logging Plant Operator | ||||
7212 | Earthmoving Plant Operators | ||||
721200 | Earthmoving Plant Operators nfd | ||||
721211 | Earthmoving Plant Operator (General) | ||||
721212 | Backhoe Operator | ||||
721213 | Bulldozer Operator | ||||
721214 | Excavator Operator | ||||
721215 | Grader Operator | ||||
721216 | Loader Operator | ||||
7213 | Forklift Drivers | ||||
721311 | Forklift Driver | ||||
7219 | Other Mobile Plant Operators | ||||
721900 | Other Mobile Plant Operators nfd | ||||
721911 | Aircraft Baggage Handler and Airline Ground Crew | ||||
721912 | Linemarker | ||||
721913 | Paving Plant Operator | ||||
721914 | Railway Track Plant Operator | ||||
721915 | Road Roller Operator | ||||
721916 | Streetsweeper Operator | ||||
721999 | Mobile Plant Operators nec | ||||
73 | Road and Rail Drivers | ||||
730 | Road and Rail Drivers nfd | ||||
7300 | Road and Rail Drivers nfd | ||||
730000 | Road and Rail Drivers nfd | ||||
731 | Automobile, Bus and Rail Drivers | ||||
7310 | Automobile, Bus and Rail Drivers nfd | ||||
731000 | Automobile, Bus and Rail Drivers nfd | ||||
7311 | Automobile Drivers | ||||
731100 | Automobile Drivers nfd | ||||
731111 | Chauffeur | ||||
731112 | Taxi Driver | ||||
731199 | Automobile Drivers nec | ||||
7312 | Bus and Coach Drivers | ||||
731200 | Bus and Coach Drivers nfd | ||||
731211 | Bus Driver | ||||
731212 | Charter and Tour Bus Driver | ||||
731213 | Passenger Coach Driver | ||||
7313 | Train and Tram Drivers | ||||
731300 | Train and Tram Drivers nfd | ||||
731311 | Train Driver | ||||
731312 | Tram Driver | ||||
732 | Delivery Drivers | ||||
7321 | Delivery Drivers | ||||
732111 | Delivery Driver | ||||
733 | Truck Drivers | ||||
7331 | Truck Drivers | ||||
733100 | Truck Drivers nfd | ||||
733111 | Truck Driver (General) | ||||
733112 | Aircraft Refueller | ||||
733113 | Furniture Removalist | ||||
733114 | Tanker Driver | ||||
733115 | Tow Truck Driver | ||||
74 | Storepersons | ||||
741 | Storepersons | ||||
7411 | Storepersons | ||||
741111 | Storeperson |
8 Labourers
8 | Labourers | ||||
80 | Labourers nfd | ||||
800 | Labourers nfd | ||||
8000 | Labourers nfd | ||||
800000 | Labourers nfd | ||||
81 | Cleaners and Laundry Workers | ||||
811 | Cleaners and Laundry Workers | ||||
8110 | Cleaners and Laundry Workers nfd | ||||
811000 | Cleaners and Laundry Workers nfd | ||||
8111 | Car Detailers | ||||
811111 | Car Detailer | ||||
8112 | Commercial Cleaners | ||||
811211 | Commercial Cleaner | ||||
8113 | Domestic Cleaners | ||||
811311 | Domestic Cleaner | ||||
8114 | Housekeepers | ||||
811400 | Housekeepers nfd | ||||
811411 | Commercial Housekeeper | ||||
811412 | Domestic Housekeeper | ||||
8115 | Laundry Workers | ||||
811500 | Laundry Workers nfd | ||||
811511 | Laundry Worker (General) | ||||
811512 | Drycleaner | ||||
811513 | Ironer or Presser | ||||
8116 | Other Cleaners | ||||
811600 | Other Cleaners nfd | ||||
811611 | Carpet Cleaner | ||||
811612 | Window Cleaner | ||||
811699 | Cleaners nec | ||||
82 | Construction and Mining Labourers | ||||
821 | Construction and Mining Labourers | ||||
8210 | Construction and Mining Labourers nfd | ||||
821000 | Construction and Mining Labourers nfd | ||||
8211 | Building and Plumbing Labourers | ||||
821100 | Building and Plumbing Labourers nfd | ||||
821111 | Builder's Labourer | ||||
821112 | Drainage, Sewerage and Stormwater Labourer | ||||
821113 | Earthmoving Labourer | ||||
821114 | Plumber's Assistant | ||||
8212 | Concreters | ||||
821211 | Concreter | ||||
8213 | Fencers | ||||
821311 | Fencer | ||||
8214 | Insulation and Home Improvement Installers | ||||
821400 | Insulation and Home Improvement Installers nfd | ||||
821411 | Building Insulation Installer | ||||
821412 | Home Improvement Installer | ||||
8215 | Paving and Surfacing Labourers | ||||
821511 | Paving and Surfacing Labourer | ||||
8216 | Railway Track Workers | ||||
821611 | Railway Track Worker | ||||
8217 | Structural Steel Construction Workers | ||||
821700 | Structural Steel Construction Workers nfd | ||||
821711 | Construction Rigger | ||||
821712 | Scaffolder | ||||
821713 | Steel Fixer | ||||
821714 | Structural Steel Erector | ||||
8219 | Other Construction and Mining Labourers | ||||
821900 | Other Construction and Mining Labourers nfd | ||||
821911 | Crane Chaser | ||||
821912 | Driller's Assistant | ||||
821913 | Lagger | ||||
821914 | Mining Support Worker | ||||
821915 | Surveyor's Assistant | ||||
83 | Factory Process Workers | ||||
830 | Factory Process Workers nfd | ||||
8300 | Factory Process Workers nfd | ||||
830000 | Factory Process Workers nfd | ||||
831 | Food Process Workers | ||||
8310 | Food Process Workers nfd | ||||
831000 | Food Process Workers nfd | ||||
8311 | Food and Drink Factory Workers | ||||
831100 | Food and Drink Factory Workers nfd | ||||
831111 | Baking Factory Worker | ||||
831112 | Brewery Worker | ||||
831113 | Confectionery Maker | ||||
831114 | Dairy Products Maker | ||||
831115 | Fruit and Vegetable Factory Worker | ||||
831116 | Grain Mill Worker | ||||
831117 | Sugar Mill Worker | ||||
831118 | Winery Cellar Hand | ||||
831199 | Food and Drink Factory Workers nec | ||||
8312 | Meat Boners and Slicers, and Slaughterers | ||||
831200 | Meat Boners and Slicers, and Slaughterers nfd | ||||
831211 | Meat Boner and Slicer | ||||
831212 | Slaughterer | ||||
8313 | Meat, Poultry and Seafood Process Workers | ||||
831300 | Meat, Poultry and Seafood Process Workers nfd | ||||
831311 | Meat Process Worker | ||||
831312 | Poultry Process Worker | ||||
831313 | Seafood Process Worker | ||||
832 | Packers and Product Assemblers | ||||
8320 | Packers and Product Assemblers nfd | ||||
832000 | Packers and Product Assemblers nfd | ||||
8321 | Packers | ||||
832100 | Packers nfd | ||||
832111 | Chocolate Packer | ||||
832112 | Container Filler | ||||
832113 | Fruit and Vegetable Packer | ||||
832114 | Meat Packer | ||||
832115 | Seafood Packer | ||||
832199 | Packers nec | ||||
8322 | Product Assemblers | ||||
832211 | Product Assembler | ||||
839 | Miscellaneous Factory Process Workers | ||||
8390 | Miscellaneous Factory Process Workers nfd | ||||
839000 | Miscellaneous Factory Process Workers nfd | ||||
8391 | Metal Engineering Process Workers | ||||
839111 | Metal Engineering Process Worker | ||||
8392 | Plastics and Rubber Factory Workers | ||||
839200 | Plastics and Rubber Factory Workers nfd | ||||
839211 | Plastics Factory Worker | ||||
839212 | Rubber Factory Worker | ||||
8393 | Product Quality Controllers | ||||
839300 | Product Quality Controllers nfd | ||||
839311 | Product Examiner | ||||
839312 | Product Grader | ||||
839313 | Product Tester | ||||
8394 | Timber and Wood Process Workers | ||||
839400 | Timber and Wood Process Workers nfd | ||||
839411 | Paper and Pulp Mill Worker | ||||
839412 | Sawmill or Timber Yard Worker | ||||
839413 | Wood and Wood Products Factory Worker | ||||
8399 | Other Factory Process Workers | ||||
839900 | Other Factory Process Workers nfd | ||||
839911 | Cement and Concrete Plant Worker | ||||
839912 | Chemical Plant Worker | ||||
839913 | Clay Processing Factory Worker | ||||
839914 | Fabric and Textile Factory Worker | ||||
839915 | Footwear Factory Worker | ||||
839916 | Glass Processing Worker | ||||
839917 | Hide and Skin Processing Worker | ||||
839918 | Recycling Worker | ||||
839999 | Factory Process Workers nec | ||||
84 | Farm, Forestry and Garden Workers | ||||
840 | Farm, Forestry and Garden Workers nfd | ||||
8400 | Farm, Forestry and Garden Workers nfd | ||||
840000 | Farm, Forestry and Garden Workers nfd | ||||
842 | Farm Workers | ||||
8420 | Farm Workers nfd | ||||
842000 | Farm Workers nfd | ||||
8421 | Aquaculture Workers | ||||
842111 | Aquaculture Worker | ||||
8422 | Crop Farm Workers | ||||
842200 | Crop Farm Workers nfd | ||||
842211 | Cotton Farm Worker | ||||
842212 | Fruit Farm Worker | ||||
842213 | Fruit Picker | ||||
842214 | Grain, Oilseed, Pulse and Pasture Farm Worker (Aus) / Field Farm Worker (NZ) | ||||
842215 | Mushroom Picker | ||||
842216 | Nut Farm Worker | ||||
842217 | Sugar Cane Farm Worker | ||||
842218 | Vegetable Farm Worker (Aus) / Market Garden Worker (NZ) | ||||
842221 | Vegetable Picker | ||||
842222 | Vineyard Worker | ||||
842299 | Crop Farm Workers nec | ||||
8423 | Livestock Farm Workers | ||||
842300 | Livestock Farm Workers nfd | ||||
842311 | Beef Cattle Farm Worker | ||||
842312 | Cattle and Sheep Farm Worker | ||||
842313 | Dairy Cattle Farm Worker | ||||
842314 | Livestock Husbandry Worker | ||||
842315 | Piggery Farm Worker | ||||
842316 | Poultry Farm Worker | ||||
842317 | Sheep Farm Worker | ||||
842318 | Stablehand | ||||
842321 | Wool Handler | ||||
842399 | Livestock Farm Workers nec | ||||
8424 | Mixed Production Farm Workers | ||||
842400 | Mixed Production Farm Workers nfd | ||||
842411 | Broadacre Crop and Livestock Farm Worker | ||||
842499 | Mixed Production Farm Workers nec | ||||
843 | Forestry and Garden Workers | ||||
8430 | Forestry and Garden Workers nfd | ||||
843000 | Forestry and Garden Workers nfd | ||||
8431 | Forestry and Logging Workers | ||||
843100 | Forestry and Logging Workers nfd | ||||
843111 | Forestry Worker | ||||
843112 | Logging Assistant | ||||
843113 | Tree Faller | ||||
8432 | Garden Labourers | ||||
843211 | Garden Labourer | ||||
8433 | Horticultural Nursery Assistants | ||||
843311 | Horticultural Nursery Assistant | ||||
8434 | Pest Control Technicians | ||||
843411 | Pest Control Technician | ||||
8439 | Other Forestry and Garden Workers | ||||
843900 | Other Forestry and Garden Workers nfd | ||||
843911 | Hunter-Trapper | ||||
843912 | Irrigation Assistant | ||||
843999 | Forestry and Garden Workers nec | ||||
85 | Food Preparation Assistants | ||||
851 | Food Preparation Assistants | ||||
8510 | Food Preparation Assistants nfd | ||||
851000 | Food Preparation Assistants nfd | ||||
8511 | Fast Food Cooks | ||||
851111 | Fast Food Cook | ||||
8512 | Food Trades Assistants | ||||
851200 | Food Trades Assistants nfd | ||||
851211 | Pastrycook's Assistant | ||||
851299 | Food Trades Assistants nec | ||||
8513 | Kitchenhands | ||||
851311 | Kitchenhand | ||||
89 | Other Labourers | ||||
890 | Other Labourers nfd | ||||
8900 | Other Labourers nfd | ||||
890000 | Other Labourers nfd | ||||
891 | Freight Handlers and Shelf Fillers | ||||
8910 | Freight Handlers and Shelf Fillers nfd | ||||
891000 | Freight Handlers and Shelf Fillers nfd | ||||
8911 | Freight and Furniture Handlers | ||||
891100 | Freight and Furniture Handlers nfd | ||||
891111 | Freight Handler (Rail or Road) | ||||
891112 | Truck Driver's Offsider | ||||
891113 | Waterside Worker | ||||
8912 | Shelf Fillers | ||||
891211 | Shelf Filler | ||||
899 | Miscellaneous Labourers | ||||
8990 | Miscellaneous Labourers nfd | ||||
899000 | Miscellaneous Labourers nfd | ||||
8991 | Caretakers | ||||
899111 | Caretaker | ||||
8992 | Deck and Fishing Hands | ||||
899200 | Deck and Fishing Hands nfd | ||||
899211 | Deck Hand | ||||
899212 | Fishing Hand | ||||
8993 | Handypersons | ||||
899311 | Handyperson | ||||
8994 | Motor Vehicle Parts and Accessories Fitters | ||||
899400 | Motor Vehicle Parts and Accessories Fitters nfd | ||||
899411 | Motor Vehicle Parts and Accessories Fitter (General) | ||||
899412 | Autoglazier | ||||
899413 | Exhaust and Muffler Repairer | ||||
899414 | Radiator Repairer | ||||
899415 | Tyre Fitter | ||||
8995 | Printing Assistants and Table Workers | ||||
899500 | Printing Assistants and Table Workers nfd | ||||
899511 | Printer's Assistant | ||||
899512 | Printing Table Worker | ||||
8996 | Recycling and Rubbish Collectors | ||||
899611 | Recycling or Rubbish Collector | ||||
8997 | Vending Machine Attendants | ||||
899711 | Vending Machine Attendant | ||||
8999 | Other Miscellaneous Labourers | ||||
899900 | Other Miscellaneous Labourers nfd | ||||
899911 | Bicycle Mechanic | ||||
899912 | Car Park Attendant | ||||
899913 | Crossing Supervisor | ||||
899914 | Electrical or Telecommunications Trades Assistant | ||||
899915 | Leaflet or Newspaper Deliverer | ||||
899916 | Mechanic's Assistant | ||||
899917 | Railways Assistant | ||||
899918 | Sign Erector | ||||
899921 | Ticket Collector or Usher | ||||
899922 | Trolley Collector | ||||
899923 | Road Traffic Controller | ||||
899999 | Labourers nec |
Supplementary Codes
099888 | Inadequately described |
&&&&&& | Not stated |
@@@@@@ | Not applicable |
VVVVVV | Overseas visitor |
Number of categories:
- One digit level: 8
- Two digit level: 51
- Three digit level: 137
- Four digit level: 483
- Six digit: 1,409
Not applicable (@@@@@@) category comprises:
- Unemployed persons, looking for either full-time or part-time work
- Persons not in the labour force
- Persons with Labour force status (LFSP), not stated
- Persons aged under 15 years
- See Understanding supplementary codes for more information.
Question(s) from the Census form
In the main job held last week, what was the person’s occupation?
Targeted supplementary questions for occupation
On the online form there are targeted supplementary questions (TSQs) for the occupation question. TSQs are asked to clarify free text responses and are prompted by ‘trigger words’ entered into the response. Once a trigger word is entered a targeted supplementary question appears and a set of pre-defined response options is given to the respondent.
For example, if the word 'nurse' was entered as the occupation, then extra questions are asked about the type of nurse occupation the respondent holds (see example in image below).
The list of 'trigger words' and targeted supplementary questions are created by looking at common responses in the 'not further defined' coding categories from the previous Census data.
There are 13 TSQs for occupation. A full list of the questions, trigger words and response options are available in the downloads on this page.
Example - targeted supplementary question
What are the main tasks that the person usually performs in that occupation?
For the main job held last week, what was the employer’s business name?
What best describes the industry or business of the employer at the location where the person works?
More information
Example
Example - Targeted supplementary questions
What are the main goods produced or main services provided by the employer’s business?
More information
How this variable is created
This variable is primarily coded based on the write-in responses to questions asking for the person’s occupation title and main tasks performed. Other occupation questions may also be used to assist with quality coding.
Not all responses easily fit into an occupation as listed in the classification. In these cases responses are coded to a higher level of the ANZSCO 2021 Australian Update which covers any possible options for that response. These are more general ‘not further defined (nfd)’ codes and end in one or more zeroes.
Occupation coding is reliant on a variety of processes. All text response fields that contribute to occupation coding are first auto-repaired before being sent through an auto-coding process. The remaining responses that did not successfully achieve a code are examined by ABS clerical staff and independently assessed for an ANZSCO 2021 Australian Update code.
Responses with insufficient information to assign an ANZSCO code are coded to ‘Inadequately described’.
History and changes
This is a new variable for 2021 based on the 2021 Australian update to the ANZSCO.
Data use considerations
Collecting both occupation title and task information ensures more accurate coding of occupations. This data is essential for:
- labour market analysis
- policy formation
Changes in the occupational composition of the labour force are important for planning at the industry and geographic area levels.
The data is used in analyses of education and training needs, and as indicators for industry assistance programs.
Small area data on occupation are important in regional planning; in examining the occupational mobility of ethnic and other minority groups; and in measuring socioeconomic status variability between regions.
The introduction of targeted supplementary questions in the online Census has reduced 'not further defined' categories across some Occupations and classified responses into more detailed Occupation categories.
Care should be taken when using this variable. The update is only relevant to occupations relating to agriculture, cyber security, naval ship building, and emerging occupations identified by the National Skills Commission. If these occupations are not relevant to your data needs, it is recommended to use the Occupation (OCCP) variable instead.
The non-response rate for Occupation experimental update version 1 (OCCEV1P) was 0.8% in 2021.
Lockdown
A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people being temporarily stood down on Census day. Guidance on how to correctly respond was provided at the time on the Census website, as follows:
'If you were employed in the 4 weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and information about your employer (such as industry and number of employees).'
Data downloads
Occupation experimental update version 1 classification
Occupation skill level (OCSKP)
Definition
This variable describes the skill level of a person's occupation. Level one is the highest level of skill and level five is the lowest level of skill. The skill level is determined from the characteristics of the person's occupation (OCCP), rather than the skill level of the person themselves.
Scope
Employed persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Skill level one |
2 | Skill level two |
3 | Skill level three |
4 | Skill level four |
5 | Skill level five |
9 | Skill level not determined |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 9
Not applicable (@) category comprises:
- Unemployed persons, looking for either full-time or part-time work
- Persons not in the labour force
- Persons with Labour force status (LFSP), not stated
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
In the main job held last week, what was the person’s occupation?
What are the main tasks that the person usually performs in that occupation?
For the main job held last week, what was the employer’s business name?
What best describes the industry or business of the employer at the location where the person works?
More information
What are the main goods produced or main services provided by the employer’s business?
More information
How this variable is created
This variable is created from the Occupation (OCCP) variable. An occupation is coded using the ANZSCO – Australian and New Zealand Standard Classification of Occupations, 2013, Version 1.3 at the 6-digit level to determine the Occupation skill level for the stated occupations. The relationship between occupation and occupation skill level is defined in the ANZSCO. Occupations that are not further defined (nfd) (e.g. 'Manager nfd') do not have a corresponding skill level in the ANZSCO. 2016 Census data was used to determine what skill levels should be assigned to occupations that were not further defined.
History and changes
This variable is new for 2021.
Data use considerations
It is possible for a highly skilled person to work in a low skilled job/occupation, and it's also possible for a low skilled person (or a person with low or no formal qualifications) to work in a high skilled job.
This variable is derived from the Occupation (OCCP) variable. The non-response rate for Occupation (OCCP) was 0.8% in 2021. This is an increase from 0.7% in 2016.
Occupation skill level experimental update version 1 (OCSKEV1P)
Definition
This variable describes the skill level of a person's occupation. Level one is the highest level of skill and level five is the lowest level of skill. The skill level is set by the person's occupation (OCCP), rather than the skill level of the person themselves.
Occupation skill level experimental update version 1 has been created based on the ANZSCO - Australian and New Zealand Standard Classification of Occupations, 2021 Australian Update. This update relates to the Australian labour market only.
Scope
Employed persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Skill level one |
2 | Skill level two |
3 | Skill level three |
4 | Skill level four |
5 | Skill level five |
9 | Skill level not determined |
& | Not stated |
@ | Not applicable |
V | Overseas visitors |
Number of categories: 9
Not applicable (@) category comprises:
- Unemployed persons, looking for either full-time or part-time work
- Persons not in the labour force
- Persons with labour force status (LFSP),not stated
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
In the main job held last week, what was the person’s occupation?
Targeted supplementary questions for occupation
On the online form there are targeted supplementary questions (TSQs) for the occupation question. TSQs are asked to clarify free text responses and are prompted by ‘trigger words’ entered into the response. Once a trigger word is entered a targeted supplementary question appears and a set of pre-defined response options is given to the respondent.
For example, if the word 'nurse' was entered as the occupation, then extra questions are asked about the type of nurse occupation the respondent holds (see example in image below).
The list of 'trigger words' and targeted supplementary questions are created by looking at common responses in the 'not further defined' coding categories from the previous Census data.
There are 13 TSQs for occupation. A full list of the questions, trigger words and response options are available in the downloads on this page.
Example - targeted supplementary question
What are the main tasks that the person usually performs in that occupation?
For the main job held last week, what was the employer’s business name?
What best describes the industry or business of the employer at the location where the person works?
More information
Example
Example - Targeted supplementary questions
What are the main goods produced or main services provided by the employer’s business?
More information
How this variable is created
This variable is created from the Occupation Experimental Update Version 1 (OCCEV1P) variable. An occupation is coded using the ANZSCO - Australian and New Zealand Standard Classification of Occupations, 2021 at the 6-digit level to determine the Occupation skill level for the stated occupations. The relationship between occupation and occupation skill level is defined in the ANZSCO. Each 6-digit occupation is assigned a single skill level, however, the higher level categories (e.g. ‘Managers’) may comprise occupations at multiple skill levels. Therefore some ‘not further defined’ (nfd) codes (e.g. 'Managers nfd') do not have a corresponding skill level in the ANZSCO. In such cases, 2016 Census data was used to determine which skill level should be assigned to the ‘not further defined’ code.
History and changes
This variable is new for 2021.
Data use considerations
It is possible for a highly skilled person to work in a low skilled job/occupation, and it's also possible for a low skilled person (or a person with low or no formal qualifications) to work in a high skilled job.
Care should be taken when using this variable. The update is only relevant to occupations relating to agriculture, cyber security, naval ship building, and emerging occupations identified by the National Skills Commission. If these occupations are not relevant to your data needs, it is recommended to use the Occupation skill level (OCSKP) variable instead.
This variable is derived from the Occupation experimental update version 1 (OCCEV1P) variable. The non-response rate for Occupation experimental update version 1 (OCCEV1P) was 0.8% in 2021.
Status in employment (SIEMP)
Definition
This variable defines a person’s employment status for the main job held in the week prior to Census Night.
If a person's status in employment cannot be determined as an owner manager of an incorporated or unincorporated enterprise, responses are categorised to 'Not stated'.
Scope
Employed persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Employee |
2 | Owner manager of incorporated enterprise with employees |
3 | Owner manager of incorporated enterprise without employees |
4 | Owner manager of incorporated enterprise - employees not stated |
5 | Owner manager of unincorporated enterprise with employees |
6 | Owner manager of unincorporated enterprise without employees |
7 | Owner manager of unincorporated enterprise - employees not stated |
8 | Contributing family worker |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 11
Not applicable (@) category comprises:
- Persons aged under 15 years
- Persons who are unemployed
- Persons with Labour force status (LFSP) not stated
- Persons not in the labour force
See Understanding supplementary codes for more information.
Question(s) from the Census form
Last week, did the person have a job of any kind?
More information
In the main job held last week, was the person: Working for an employer; Working in own business
Was the person’s business: Unincorporated; Incorporated (e.g. Pty Ltd)
This question is only applicable for people aged 15 years and over who responded with 'Working in own business' to the previous question, 'In the main job last week, was the person: Working for an employer; Working in own business?'
More information
Does the person’s business employ people?
This question is only applicable for people aged 15 years and over who responded with 'Working in own business' to the question, 'In the main job last week, was the person: Working for an employer; Working in own business?'
More information
How this variable is created
This variable is derived from responses to several questions on the Census form. Data is captured automatically from mark box responses.
History and changes
Status in employment (SEIMP) was first introduced in 2016 to replace Employment type (EMTP) which was discontinued. This variable collects the same information at a more detailed level on whether the incorporated or unincorporated enterprise is with or without employees.
No changes have been made for 2021.
Data use considerations
Lockdown
A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people being temporarily stood down on Census day. Guidance on how to correctly respond was provided at the time on the Census website, as follows:
If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to lockdown or requirement to self-isolate, please select 'Yes, but absent on holidays, on paid leave, on strike or temporarily stood down'.
Unlike most Census variables, the non-response rate for Status in employment (SIEMP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond or have a labour force status of 'Not stated' are not applicable to Status in employment (SIEMP).
The non-response rate for Status in employment (SIEMP) was 0.6% in 2021. This is a decrease from 1.0% in 2016.
Related variables and glossary terms
- Labour force status and hours worked not stated (LFHRP)
- Labour force status (LFSP)
- Contributing family worker
- Employee
Total personal income (administrative data) (weekly) (INCAP)
Definition
This variable indicates the total weekly income (in ranges) that a person received, based on all income recorded in administrative data for the 2020/2021 financial year. Annual income amounts appear in brackets.
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census.
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
01 | Negative income |
02 | Nil income |
03 | $1-$149 ($1-$7,799) |
04 | $150-$299 ($7,800-$15,599) |
05 | $300-$399 ($15,600-$20,799) |
06 | $400-$499 ($20,800-$25,999) |
07 | $500-$649 ($26,000-$33,799) |
08 | $650-$799 ($33,800-$41,599) |
09 | $800-$999 ($41,600-$51,999) |
10 | $1,000-$1,249 ($52,000-$64,999) |
11 | $1,250-$1,499 ($65,000-$77,999) |
12 | $1,500-$1,749 ($78,000-$90,999) |
13 | $1,750-$1,999 ($91,000-$103,999) |
14 | $2,000-$2,499 ($104,000-$129,999) |
15 | $2,500-$2,999 ($130,000-$155,999) |
16 | $3,000-$3,499 ($156,000-$181,999) |
17 | $3,500-$3,999 ($182,000-$207,999) |
18 | $4,000-$4,499 ($208,000-$233,999) |
19 | $4,500-$4,999 ($234,000-$259,999) |
20 | $5,000-$5,999 ($260,000-$311,999) |
21 | $6,000-$7,999 ($312,000-$415,999) |
22 | $8,000-$9,999 ($416,000-$519,999) |
23 | $10,000 or more ($520,000 or more) |
99 | Admin not available |
@@ | Not applicable |
VV | Overseas visitor |
Code | Category |
---|---|
0001 | Negative income |
0002 | Nil income |
0003 | $1-$9 |
0004 - 1002 | $10-$19 to $9,990-$9,999 in ten-dollar ranges |
1003 | $10,000 or more |
9999 | Admin not available |
@@@@ | Not applicable |
VVVV | Overseas visitor |
Number of categories:
- Two-digit level: 26
- Four-digit level: 1006
Admin not available (99, 9999) categories comprise:
- Persons who were not able to be linked to PLIDA, and therefore did not have administrative income information available.
Not applicable (@@, @@@@) categories comprise:
- Persons aged under 15 years
How this variable is created
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.
This variable captures weekly income, based on all income recorded between 1 July 2020 and 30 June 2021 from the following types of income:
- Employee wages and salary
- Government benefits and allowances
- Own unincorporated business income
- Superannuation income
- Investment income
- Other income (for example transfer or trust income; controlled foreign company income; net foreign pension and annuity income; and foreign investment and life insurance income)
The weekly income is calculated by dividing the total income recorded by 52.
History and changes
This is a new variable for 2021.
Data use considerations
This variable provides an alternative, more detailed view on income to the Census income data collected via the Census form. It is based on income information recorded in linked administrative data, and not data collected from a Census question.
Comparison to Census income data
Although this variable provides an alternative, more detailed view on income to the income data collected via the Census form, there are several important differences to consider.
Collection method
This variable was not derived from data collected via the Census form, rather it was collected directly from administrative data sources. Unlike data collected via the Census form, this variable does not rely on people correctly recalling the income that they, and other household members, usually earn.
Financial year income used to determine weekly income
Financial year income from the administrative data is used as a measure of weekly income. This captures longer term trends of income and is not subject to short term changes around Census time. This means that this variable may not align with what a person reported they earned, or usually earned around the time of the Census.
The administrative variable may include lump sums or one-off payments that don’t reflect a person’s usual income.
This variable may understate usual weekly income where a person worked for only part of the year.
Superannuation income in administrative data
The administrative data used to derive this variable had limited coverage of income from superannuation, because many superannuation payments are not required to be reported annually to the Australian Taxation Office. This has resulted in the undercount of total income received for some people with superannuation income.
Linkage between Census and administrative data
This variable relies upon the accurate linkage of Census to the administrative data. Data linkage rates (denoted through the 99 and 9999 categories) need to be considered in conjunction with the administrative income when assessing totals.
Lockdown
A number of regions across the country were in various stages of lockdown due to the COVID-19 pandemic throughout the 2020/2021 financial year. This resulted in a greater number of people being temporarily stood down, which impacted their income recorded in administrative data.
Comparison to other ABS Surveys
Although other ABS surveys, such as the Survey of Income and Housing and Personal Income in Australia, collect similar data relating to personal income, they are not directly comparable. This is due to differences in scope, collection methodology, collection period, and conceptual differences. It is likely that data from each of these collections will deliver different outcomes making it important for data users to understand the key conceptual differences between each collection to use it most appropriately.
Related variables and glossary terms
- Total family income (administrative data) (weekly) (FINAF)
- Total household income (administrative data) (weekly) (HINAD)
- Main type of personal government benefit payment (administrative data) (IGAP)
- Total personal income (weekly) (INCP)
- Main source of personal income (administrative data) (ISAP)
- Administrative data
- Government benefits, pensions and allowances
Useful links
Total family income (administrative data) (weekly) (FINAF)
Definition
This variable is the sum of Total personal income (administrative data) (weekly) (INCAP) of each family member aged 15 years or older who was present in the household on Census Night. This excludes families where one or more family members aged 15 years and over did not have income information available in administrative data or was absent from the dwelling on Census Night. These families are coded to the 'Partial incomes available' and total family incomes are not calculated.
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census.
Scope
Families in family households
Categories
Code | Category |
---|---|
01 | Negative income |
02 | Nil income |
03 | $1-$149 ($1-$7,799) |
04 | $150-$299 ($7,800-$15,599) |
05 | $300-$399 ($15,600-$20,799) |
06 | $400-$499 ($20,800-$25,999) |
07 | $500-$649 ($26,000-$33,799) |
08 | $650-$799 ($33,800-$41,599) |
09 | $800-$999 ($41,600-$51,999) |
10 | $1,000-$1,249 ($52,000-$64,999) |
11 | $1,250-$1,499 ($65,000-$77,999) |
12 | $1,500-$1,749 ($78,000-$90,999) |
13 | $1,750-$1,999 ($91,000-$103,999) |
14 | $2,000-$2,499 ($104,000-$129,999) |
15 | $2,500-$2,999 ($130,000-$155,999) |
16 | $3,000-$3,499 ($156,000-$181,999) |
17 | $3,500-$3,999 ($182,000-$207,999) |
18 | $4,000-$4,499 ($208,000-$233,999) |
19 | $4,500-$4,999 ($234,000-$259,999) |
20 | $5,000-$5,999 ($260,000-$311,999) |
21 | $6,000-$7,999 ($312,000-$415,999) |
22 | $8,000-$9,999 ($416,000-$519,999) |
23 | $10,000 or more ($520,000 or more) |
88 | Partial incomes available |
99 | Admin not available |
@@ | Not applicable |
Code | Category |
---|---|
0001 | Negative income |
0002 | Nil income |
0003 | $1-$9 |
0004 - 1002 | $10-$19 to $9,990-$9,999 in ten-dollar ranges |
1003 | $10,000 or more |
8888 | Partial incomes available |
9999 | Admin not available |
@@@@ | Not applicable |
Number of categories:
- Two-digit level: 26
- Four-digit level: 1006
Admin not available (99, 9999) category comprises:
- Families where no persons were able to be linked to PLIDA, and therefore the family did not have any administrative income information available
Not applicable (@@, @@@@) category comprises:
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
How this variable is created
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.
This variable is calculated by summing the personal incomes recorded in administrative data for all family members aged 15 years and over.
Families where all or at least one family member aged 15 and over was not able to be linked to PLIDA, and therefore did not have income information available in administrative data are set to:
- 'Admin not available' and
- 'Partial incomes available' respectively.
Families where at least one member aged 15 and over was absent from the dwelling on Census Night are also set to 'Partial incomes available'.
History and changes
This is a new variable for 2021.
Data use considerations
This variable provides an alternative, more detailed view on income to the Census income data collected via the Census form. It is based on income information recorded in linked administrative data, and not data collected from a Census question.
Comparison to Census income data
Although this variable provides an alternative, more detailed view on income to income data collected via the Census form, there are differences to consider.
Method to calculate family income
The personal incomes used to create this variable were recorded to the nearest dollar. The Census question, on the other hand, collects personal income in ranges, then a median-based approximation is used to calculate family income.
Unlike data collected via the Census form, this variable does not rely on people correctly recalling the income that they, and other household members, usually earn.
Comparisons to other family data
This variable should be used with caution when comparing to other family data from within the ABS and for external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
Related variables and glossary terms
- Total family income (weekly) (FINF)
- Total personal income (administrative data) (weekly) (INCAP)
- Total family income as available (administrative data) (weekly) (FIAASF)
- Main source of family income (administrative data) (FSAF)
- Main type of family government benefit payment (administrative data) (FGAF)
- Total household income (administrative data) (weekly) (HINAD)
- Administrative data
- Government benefits, pensions and allowances
- Family
Useful links
Main type of family government benefit payment (administrative data) (FGAF)
Definition
This variable indicates the main type of government benefit payment that a family received. This is based on all government benefits, pensions, and allowances recorded in administrative data for the 2020/2021 financial year of family members aged 15 years or older who were present in the household on Census Night.
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census.
Scope
Families in family households
Categories
Code | Category |
---|---|
00 | Nil or negative income |
01 | Age Pension |
02 | Austudy/ABSTUDY |
03 | Carer Allowance |
04 | Carer Payment |
05 | Dad and Partner Pay |
06 | Disability Support Pension |
07 | Family Tax Benefits |
08 | Future Flexible Support Payment |
09 | Mobility Allowance |
10 | Newstart Allowance and JobSeeker |
11 | Paid Parental Leave Payment |
12 | Parenting Payment |
13 | Special Benefit |
14 | Widow Allowance |
15 | Youth Allowance |
16 | Other government pensions and allowances |
17 | Type of benefit unknown |
18 | Did not receive government pension or allowance |
99 | Admin not available |
@@ | Not applicable |
Number of categories: 21
Admin not available (99) category comprises:
- Families where no persons were able to be linked to PLIDA, and therefore the family did not have any administrative income information available
Not applicable (@@) category comprises:
- Non-family/Non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
How this variable is created
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. PLIDA contains data on government benefits, pensions, and allowances from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.
This variable is calculated based on all government benefits, pensions, and allowances recorded in administrative data for the 2020/2021 financial year of residents aged 15 years or older who were present in the household on Census Night. This includes families where one or more members did not have income information available in administrative data or where one or more members were absent from the dwelling on Census Night.
The main type of government benefit payment is the category with the largest amount recorded. This variable does not record the dollar amount of government benefits, pensions, and allowances received; it records what the main benefit type is.
All payments recorded in the administrative data are included, however some government benefit payments have been excluded from this variable as they are deemed not to represent income. The excluded payments are:
- Rent Assistance
- Fares Allowance
- HECS or Course Fees
- Student Start-up Loan
- Home Equity Access Scheme / Pension Loans Scheme
- Commonwealth Seniors Health Card
History and changes
This is a new variable for 2021.
Data use considerations
This variable provides an alternative, more detailed view on income than income data collected in the Census. It is based on government benefit, pension and allowance information recorded in linked administrative data, and is not data collected from a Census question.
Comparisons to other family data
This variable should be used with caution when comparing to other family data from within the ABS and for external organisations or agencies. The definition of a family can differ between different statistical collections and may not match Census definitions.
Related variables and glossary terms
- Main type of personal government benefit payment (administrative data) (IGAP)
- Total family income as available (administrative data) (weekly) (FIAASF)
- Main type of household government benefit payment (administrative data) (HGAD)
- Main source of family income (administrative data) (FSAF)
- Administrative data
- Government benefits, pensions and allowances
- Family
Useful links
Total household income (administrative data) (weekly) (HINAD)
Definition
This variable is the sum of Total personal income (administrative data) (weekly) (INCAP) of each resident aged 15 years or older who was present in the household on Census Night. This excludes households where one or more resident did not have income information available in administrative data or was absent from the dwelling on Census Night. These households are coded to the 'Partial incomes available' and total household incomes are not calculated.
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
01 | Negative income |
02 | Nil income |
03 | $1-$149 ($1-$7,799) |
04 | $150-$299 ($7,800-$15,599) |
05 | $300-$399 ($15,600-$20,799) |
06 | $400-$499 ($20,800-$25,999) |
07 | $500-$649 ($26,000-$33,799) |
08 | $650-$799 ($33,800-$41,599) |
09 | $800-$999 ($41,600-$51,999) |
10 | $1,000-$1,249 ($52,000-$64,999) |
11 | $1,250-$1,499 ($65,000-$77,999) |
12 | $1,500-$1,749 ($78,000-$90,999) |
13 | $1,750-$1,999 ($91,000-$103,999) |
14 | $2,000-$2,499 ($104,000-$129,999) |
15 | $2,500-$2,999 ($130,000-$155,999) |
16 | $3,000-$3,499 ($156,000-$181,999) |
17 | $3,500-$3,999 ($182,000-$207,999) |
18 | $4,000-$4,499 ($208,000-$233,999) |
19 | $4,500-$4,999 ($234,000-$259,999) |
20 | $5,000-$5,999 ($260,000-$311,999) |
21 | $6,000-$7,999 ($312,000-$415,999) |
22 | $8,000-$9,999 ($416,000-$519,999) |
23 | $10,000 or more ($520,000 or more) |
88 | Partial incomes available |
99 | Admin not available |
@@ | Not applicable |
Code | Category |
---|---|
0001 | Negative income |
0002 | Nil income |
0003 | $1-$9 |
0004 - 1002 | $10-$19 to $9,990-$9,999 in ten-dollar ranges |
1003 | $10,000 or more |
8888 | Partial incomes available |
9999 | Admin not available |
@@@@ | Not applicable |
Number of categories:
- Two-digit level: 26
- Four-digit level: 1006
Admin not available (99, 9999) category comprises:
- Households where no persons were able to be linked to PLIDA, and therefore the household did not have any administrative income information available
Not applicable (@@, @@@@) category comprises:
- Non-private dwellings
- Unoccupied private dwellings
- Migratory, off-shore and shipping SA1s
- Other non-classifiable households
How this variable is created
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains administrative income data from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.
This variable is calculated by summing the personal incomes recorded in administrative data of all household members aged 15 years and over.
Households where all or at least one member aged 15 and over was not able to be linked to PLIDA, and therefore did not have income information available in administrative data are set to:
- ‘Admin not available’ and
- ‘Partial incomes available’ respectively.
Households where at least one member aged 15 and over was away from the dwelling on Census Night are also set to ‘Partial incomes available’.
In most cases, the income of visitors to a household are excluded from this variable. The exception to this is households that comprise only visitors.
History and changes
This is a new variable for 2021.
Data use considerations
This variable provides an alternative, more detailed view on income to the Census income data collected via the Census form. It is based on income information recorded in linked administrative data, and not data collected from a Census question.
Comparison to Census income data
Although this variable provides an alternative, more detailed view on income to income data collected via the Census form, there are differences to consider.
Method to calculate household income
The personal incomes used to create this variable were recorded to the nearest dollar. The Census question, on the other hand, collects personal income in ranges, then a median-based approximation is used to calculate household income.
Unlike data collected via the Census form, this variable does not rely on people correctly recalling the income that they, and other household members, usually earn.
Comparison to other ABS Surveys
Although other ABS surveys, such as the Survey of Income and Housing and Personal Income in Australia, collect similar data relating to household income, they are not directly comparable. This is due to differences in scope, collection methodology, collection period, and conceptual differences. It is likely that data from each of these collections will deliver different outcomes making it important for data users to understand the key conceptual differences between each collection to use it most appropriately.
Related variables and glossary terms
- Total household income (weekly) (HIND)
- Total personal income (administrative data) (weekly) (INCAP)
- Total household income as available (administrative data) (weekly) (HIAASD)
- Main source of household income (administrative data) (HSAD)
- Main type of household government benefit payment (administrative data) (HGAD)
- Total family income (administrative data) (weekly) (FINAF)
- Administrative data
- Government benefits, pensions and allowances
- Household
Useful links
Main type of household government benefit payment (administrative data) (HGAD)
Definition
This variable indicates the main type of government benefit payment that a household received. This is based on all government benefits, pensions, and allowances recorded in administrative data for the 2020/2021 financial year of residents aged 15 years or older who were present in the household on Census Night.
This variable wasn’t derived from data collected on the Census form but has been created by linking administrative data from the Person Level Integrated Data (PLIDA) data asset to the Census.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
00 | Nil or negative income |
01 | Age Pension |
02 | Austudy/ABSTUDY |
03 | Carer Allowance |
04 | Carer Payment |
05 | Dad and Partner Pay |
06 | Disability Support Pension |
07 | Family Tax Benefits |
08 | Future Flexible Support Payment |
09 | Mobility Allowance |
10 | Newstart Allowance and JobSeeker |
11 | Paid Parental Leave Payment |
12 | Parenting Payment |
13 | Special Benefit |
14 | Widow Allowance |
15 | Youth Allowance |
16 | Other government pensions and allowances |
17 | Type of benefit unknown |
18 | Did not receive government pension or allowance |
99 | Admin not available |
@@ | Not applicable |
Number of categories: 21
Admin not available (99) category comprises:
- Households where no persons were able to be linked to PLIDA, and therefore did not have any administrative income information available
Not applicable (@@) category comprises:
- Non-private dwellings
- Unoccupied private dwellings
- Migratory, off-shore and shipping SA1s
- Other non-classifiable households
How this variable is created
This variable wasn’t derived from data collected directly on the Census form but has been created by linking administrative data from the Person Level Integrated Data Asset (PLIDA) to the Census. The PLIDA data asset contains data on government benefits, pensions, and allowances from the Australian Taxation Office and the Department of Social Services, this is the source data for this variable.
This variable is calculated based on all government benefits, pensions, and allowances recorded in administrative data for the 2020/2021 financial year of residents aged 15 years or older who were present in the household on Census Night. This includes households where one or more residents did not have income information available in administrative data or where one or more residents were absent from the dwelling on Census Night.
The main type of government benefit payment is the category with the largest amount recorded. This variable does not record the dollar amount of government benefits, pensions, and allowances received; it records what the main benefit type is.
All payments recorded in the administrative data are included, however some government benefit payments have been excluded from this variable as they are deemed not to represent income. The excluded payments are:
- Rent Assistance
- Fares Allowance
- HECS or Course Fees
- Student Start-up Loan
- Home Equity Access Scheme / Pension Loans Scheme
- Commonwealth Seniors Health Card
History and changes
This is a new variable for 2021.
Data use considerations
This variable provides an alternative, more detailed view on income than income data collected in the Census. It is based on government benefit, pension and allowance information recorded in linked administrative data, and is not data collected from a Census question.
Related variables and glossary terms
- Main type of personal government benefit payment (administrative data) (IGAP)
- Total household income as available (administrative data) (weekly) (HIAASD)
- Main type of family government benefit payment (administrative data) (FGAF)
- Main source of household income (administrative data) (HSAD)
- Administrative data
- Government benefits, pensions and allowances
- Household
Useful links
Location
Mnemonic | Variable | Release | |
---|---|---|---|
IFPOWP | Imputation flag for place of work | October 2022 | |
IFPURP | Imputation flag for place of usual residence | June 2022 | |
MV1D | Household one year mobility indicator | October 2022 | |
MV5D | Household five year mobility indicator | October 2022 | |
POWP | Place of work | October 2022 | |
PUR1P | Place of usual residence one year ago | October 2022 | |
PUR5P | Place of usual residence five years ago | October 2022 | |
PURP | Place of usual residence | June 2022 | |
UAI1P | Usual address one year ago indicator | October 2022 | |
UAI5P | Usual address five years ago indicator | October 2022 | |
UAICP | Usual address indicator Census night | June 2022 |
Imputation flag for place of work (IFPOWP)
Definition
This variable indicates if a person's place of work in the week before Census Night was imputed, and to what geographic level. Some people may provide an incomplete address for their place of work, and this flag indicates the geographic level at which imputation was then required. The address of the person’s workplace is coded to a Destination zone (DZN). Destination zones are co-designed with state and territory transport authorities.
People who have not provided enough information to have their place of work coded to a DZN will have this information imputed. Imputation is a statistical process for predicting values where no response was provided to a question and therefore a response could not be derived. The Imputation flag for place of work (IFPOWP) variable can be used to identify records whose place of work has been imputed. It provides information on the level of response a person provided to the question 'For the main job held last week, what was the person’s workplace address?'.
Scope
All persons aged 15 years and over who listed their employment status as ‘Employed’
Categories
Code | Category |
---|---|
1 | Workplace address not imputed |
2 | Workplace address imputed – SA2 stated |
3 | Workplace address imputed – Capital city stated |
4 | Workplace address imputed – State/Territory stated |
5 | Workplace address imputed – Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 7
Not applicable (@) category comprises:
- Unemployed persons, looking for either full-time or part-time work
- Persons not in the labour force
- Persons with Labour force status (LFSP) not stated
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
For the main job held last week, what was the employer’s business name?
For the main job held last week, what was the person’s workplace address?
More information
How this variable is created
This is a derived variable created during Census processing to indicate whether place of work is imputed. Where an incomplete place of work address is given, place of work is imputed at different geography levels using the Australian Statistical Geography Standard (ASGS). This variable is coded based on what level the respondent’s place of work is imputed.
Respondents that provided partial or no information about their place of work will have a Place of work (POWP) DZN imputed to them. This is imputed based on the distribution of responses observed in the responding population. Depending on the level of imputation required, the following variables (where available) may be used in its method:
History and changes
A question on place of work was first asked in 1971 with similar questions having been asked in every Census since then. The POWP variable was used for the first time in the 2006 Census and replaced the Journey to Work variable which was used prior to that.
Data is available for DZN in TableBuilder Pro. Prior to 2011, DZN data was only available via customised request. DZN boundaries were updated for 2016 and the new IFPOWP variable was introduced.
For 2021 a new instruction has been added to the online form to help people who are in COVID-19 affected areas answer the place of work question. Additional instructions were also added to the Census website – see Data use considerations for more details.
Data use considerations
The non-response rate for Place of Work is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond or have a labour force status of 'not stated' are not applicable to Place of Work.
Using the Imputation flag for Place of work (IFPOWP), the non-response rate for Place of work (POWP) was 11.1% in 2021. This is a increase from 10.0% in 2016. For more information on imputation, see Census Methodology.
Lockdown
A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people working from their homes. This may impact their responses for their place of work. Guidance on how to correctly respond was provided at the time on the Census website, as follows:
- For people who usually work from home, and did not have any other workplace, write the home address
- For people who are working from home temporarily due to COVID-19, write the workplace address they would normally be at.
Be aware that people may have put their home address as the workplace address despite instructions to put the regular work address if they were working from home during COVID-19 lockdown.
Comparability of Destination zones over time
DZN are not comparable across censuses due to changes to both the boundary and code structure.
POWP is a hierarchical classification, ranging from the broadest geographic level (Australia), to the finest level (DZN). The categories in this variable have changed to reflect the updated ASGS used for the 2021 Census. Data is also available for Local Government Areas to assist with time series comparison.
Journey to work information
Data for POWP, PURP and MTWP can be cross-classified to:
- examine movements of people to and from work
- analyse transport patterns
- assist in the planning for transport systems
- develop and release residential and commercial land.
Journey to work data is used by:
- transport authorities
- associated bodies
- organisations
- other interested people.
It is important to note that the different variables for cross-classification represent different time frames and can produce outliers in the data due to a variety of reasons. Variables are listed below:
- POWP refers to a person’s workplace address last week
- PURP refers to where a person usually lives (which may or may not be where they were counted on Census Night)
- MTWP refers to how the person travelled to work on the day of the Census
Examples of how cross-classification can affect the data
Example 1 | Example 2 | |
---|---|---|
Scenario | A person spent the previous night in Brisbane with a friend and walked to work in Brisbane City. She then caught a train to her parent's place on the Gold Coast (which she also regarded as her usual place of residence) that evening when she was enumerated | A person mainly worked in Alice Springs in the week prior to the Census. However, the person moved to Sydney in the intervening week and took a ferry to their new place of employment |
Area of enumeration | Gold Coast |
Manly |
Place of usual residence | Gold Coast | Manly |
Place of work | Brisbane City |
Alice Springs |
Method of transport to work | Walked Only | Ferry |
Related variables and glossary terms
- Place of work (POWP)
- Labour force status (LFSP)
- Place of usual residence (PURP)
- Industry of employment (INDP)
- Method of travel to work (MTWP)
- Destination zone
- Imputation
Imputation flag for place of usual residence (IFPURP)
Definition
This variable indicates if a person's place of usual residence was imputed in the Census, and to what geographic level. Some people may provide an incomplete address of usual residence, and this flag indicates the geographic level at which imputation was then required.
Scope
All persons
Categories
Code | Category |
---|---|
01 | Not imputed – State/Territory, SA2 and SA1 stated |
02 | SA1 imputed – State/Territory and SA2 stated |
03 | SA2 and SA1 imputed – State/Territory and/or Capital City provided |
04 | State/Territory, SA2 and SA1 imputed |
Number of categories: 4
Question(s) from the Census form
Where does the person usually live?
More information
How this variable is created
This is a derived variable created during Census processing to indicate whether usual address is imputed. Where incomplete address of usual residence is given, place of usual residence is imputed at different geography levels using the Australian Statistical Geography Standard. This variable is coded based on what level the respondent’s place of usual residence is imputed.
For more information about imputation, see Place of usual residence (PURP) and imputation in the Census Glossary.
History and changes
Prior to the 1961 Census, questions did not differentiate between place of enumeration and place of usual residence. A question relating to Place of usual residence was first asked in the 1971 Census and has been asked at every Census since then.
No changes have been made for 2021.
Data use considerations
There are no data use considerations for this variable.
Using the Imputation flag for place of usual residence (IFPURP), the non-response rate for Place of usual residence (PURP) at the Statistical Area Level 2 (SA2) geographic level was 4.3% in 2021. This is a decrease from 5.4% in 2016.
The non-response rate at the Statistical Area Level 1 (SA1) geographic level was 4.4% in 2021. This is a decrease from 5.5% in 2016. For more information on imputation, see Census Methodology.
Related variables and glossary terms
- Place of usual residence (PURP)
- Derivation
- Imputation
- Place of enumeration
Household one year mobility indicator (MV1D)
Definition
This derived variable indicates if all, some, or none of the usual residents of a household on 10 August 2021 have a different usual address compared to one year earlier (i.e. 10 August 2020). Persons temporarily absent, visitors, and households containing only visitors, are excluded.
Scope
Family, group, lone person households
Categories
Code | Category |
---|---|
1 | All residents in the household aged one year and over had a different address one year ago |
2 | Some residents in the household aged one year and over had a different address one year ago |
3 | No residents in the household aged one year and over had a different address one year ago |
& | At least one resident did not state an address one year ago |
@ | Not applicable |
Number of categories: 5
Not applicable (@) category comprises:
- Visitor only households
- Other non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1s
Question(s) from the Census form
Where does the person usually live?
More Information
Where did the person usually live one year ago (at 10 August 2020)?
Example
More information
How this variable is created
This variable is derived from the questions asking for a person's place of usual residence on Census Night and one year ago. From this data it is possible to identify the change of address of people and show the movement of households for one year prior to the Census date. The dwelling can then be coded as having all, some, or no residents in the household having a different address one year ago.
Dwellings where at least one resident aged one year and over did not state their address one year ago are coded to ‘& At least one resident did not state an address one year ago’.
History and changes
The household mobility variable was first used for the 1991 Census. However, data about the change of addresses for individual persons, from which this variable is derived, has been collected since the 1976 Census.
In 2021, the reference year has been updated. The ‘Not stated’ category label has also been updated to ‘At least one resident did not state an address one year ago’.
Data use considerations
There are no data use considerations for this variable.
The non-response rate for Household one year mobility indicator (MV1D) was 1.9% in 2021. This is a decrease from 6.2% in 2016. For this variable, the 'non-response' includes households in which one or more residents did not state their usual residence one year ago.
Related variables and glossary terms
- Place of usual residence (PURP)
- Place of usual residence one year ago (PUR1P)
- Household five year mobility indicator (MV5D)
- Internal migration
Useful links
Household five year mobility indicator (MV5D)
Definition
This derived variable indicates if all, some, or none of the usual residents of a household on 10 August 2021 have a different usual address compared to five years earlier (i.e. 10 August 2016). Persons temporarily absent, visitors, and households containing only visitors, are excluded.
Scope
Family, group, lone person households
Categories
Code | Category |
---|---|
1 | All residents in the household aged five years and over had a different address five years ago |
2 | Some residents aged five years and over had a different address five years ago |
3 | No residents aged five years and over had a different address five years ago |
& | At least one resident did not state an address five years ago |
@ | Not applicable |
Number of categories: 5
Not applicable (@) category comprises:
- Visitor only households
- Other non-classifiable households
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1
Question(s) from the Census form
Where does the person usually live?
More Information
Where did the person usually live one year ago (at 10 August 2020)?
Example
More Information
Where did the person usually live five years ago (at 10 August 2016)?
Example
More information
How this variable is created
This variable is derived from questions asking for a person's place of usual residence on Census Night, one year ago and five years ago. The dwelling can then be coded as having all, some, or no residents in the household having a different address five years ago.
Dwellings where at least one resident aged five years and over did not state their address five years ago are coded to ‘& At least one resident did not state an address five years ago’.
History and changes
A variable on household mobility was first used for the 1991 Census. A question relating to place of usual residence five years ago was first asked in the 1971 Census and has been asked at every Census since then.
For 2021, output category labels have been updated to make the categories easier to understand.
Data use considerations
From this data it is possible to identify the change of address of people and show the movement of households for five years prior to the Census date.
The non-response rate for Household five year mobility indicator (MV5D) was 2.5% in 2021. This is a decrease from 2.9% in 2016. For this variable, the 'non-response' includes households in which one or more residents did not state their usual residence five years ago.
Related variables and glossary terms
- Place of usual residence (PURP)
- Place of usual residence five years ago (PUR5P)
- Household one year mobility indicator (MV1D)
- Internal migration
Useful links
Place of work (POWP)
Definition
This variable records the geographic area in which a person worked in the week before Census Night. The address of the person’s workplace is coded to a Destination zone (DZN). Destination zones are co-designed with state and territory transport authorities for the analysis of Place of work (POWP) data, commuting patterns and the development of transport policy.
Scope
Employed persons aged 15 years and over who listed their employment status as ‘Employed’
Categories
Place of work data is available for the following geographies:
- State/Territory
- Greater capital city statistical area
- Statistical area 4
- Statistical area 3
- Statistical area 2
- Local government areas
- Destination zones
A list of categories is available from the Australian Statistical Geography Standard (ASGS) although the following supplementary codes are always included:
- Not applicable
- Overseas visitor
Number of categories: Available on request
Not applicable category comprises:
- Unemployed persons, looking for either full-time or part-time work
- Persons not in the labour force
- Persons with Labour force status (LFSP) not stated
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
For the main job held last week, what was the employer’s business name?
For the main job held last week, what was the person’s workplace address?
More information
How this variable is created
This variable is determined from written responses to the Business name and Workplace address questions on the Census form.
Most responses for POWP are coded automatically. The remaining responses go through a bulk coding process where groupings of the same business or property are assigned a POWP code. The responses that cannot be coded using either method are coded manually using a workplace index.
Responses are coded to units of geography known as DZN. DZNs are aggregates of whole Mesh blocks (though data is not coded to the Mesh block level), and aggregate to Statistical area level 2. Due to the hierarchical nature of the ASGS, place of work data is also available in the following geographies:
- Statistical area level 3
- Statistical area level 4
- State/Territory and Greater capital city statistical area levels
Although DZNs do not fit neatly into Local Government Area (LGA) boundaries, a DZN to LGA correspondence is available to allow data to also be released at the LGA level. See the Data downloads section of this page to download the correspondence.
History and changes
A question on place of work was first asked in 1971 with similar questions having been asked in every Census since then. The POWP variable was used for the first time in the 2006 Census and replaced the Journey to work variable which was used prior to that.
Data is available for DZN in TableBuilder Pro. Prior to 2011, DZN data was only available via customised request. DZN boundaries were updated for 2016 and the new Imputation flag for place of work (IFPOWP) variable was introduced.
For 2021 a new instruction has been added to the online form to help people who are in COVID-19 affected areas answer the place of work question. Additional instructions were also added to the Census website – see Data use considerations for more details.
Data use considerations
Using the Imputation flag for Place of work (IFPOWP), the non-response rate for Place of work (POWP) was 11.1% in 2021. This is an increase from 10.0% in 2016. For more information on imputation, see Census Methodology.
Lockdown
A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people working from their homes. This may impact their responses for their place of work. Guidance on how to correctly respond was provided at the time on the Census website, as follows:
- For people who usually work from home, and did not have any other workplace, write the home address
- For people who are working from home temporarily due to COVID-19, write the workplace address they would normally be at.
Be aware that people may have put their home address as the workplace address despite instructions to put regular work address if they were working from home during COVID-19 lockdown.
Comparability of Destination zones over time
DZN are not comparable across censuses due to changes to both the boundary and code structure.
POWP is a hierarchical classification, ranging from the broadest geographic level (Australia), to the finest level (DZN). The categories in this variable have changed to reflect the updated ASGS used for the 2021 Census. Data is also available for Local Government Areas to assist with time series comparison.
Journey to work information
Data for POWP, Place of usual residence (PURP) and Method of travel to work (MTWP) can be cross-classified to:
- examine movements of people to and from work
- analyse transport patterns
- assist in the planning for transport systems
- develop and release residential and commercial land.
Journey to work data is used by:
- transport authorities
- associated bodies
- organisations
- other interested people.
It is important to note that the different variables for cross-classification represent different timeframes and can produce outliers in the data due to a variety of reasons. Variables are listed below:
- POWP refers to a person’s workplace address last week
- PURP refers to where a person usually lives (which may or may not be where they were counted on Census Night)
- MTWP refers to how the person travelled to work on the day of the Census
Examples of how cross-classification can affect the data
Example 1 | Example 2 | |
---|---|---|
Scenario |
A person spent the previous night in Brisbane with a friend and walked to work in Brisbane City. She then caught a train to her parent's place on the Gold Coast (which she also regarded as her usual place of residence) that evening where she was enumerated |
A person mainly worked in Alice Springs in the week prior to the Census. However, the person moved to Sydney in the intervening week and took a ferry to their new place of employment |
Area of enumeration |
Gold Coast |
Manly |
Place of usual residence |
Gold Coast |
Manly |
Place of work |
Brisbane City |
Alice Springs |
Method of transport to work |
Walked Only |
Ferry |
Related variables and glossary terms
- Imputation flag for place of work (IFPOWP)
- Labour force status (LFSP)
- Place of usual residence (PURP)
- Industry of employment (INDP)
- Method of travel to work (MTWP)
- Derivation
- Destination zone
- Imputation
Data downloads
2021 DZN to 2021 LGA correspondence
Place of usual residence one year ago (PUR1P)
Definition
This variable records the geographic area in which a person usually lived one year before the Census. The base area that is output is Statistical area level 2. These can be aggregated to form higher Australian Statistical Geography Standard (ASGS) areas:
- Statistical area level 3
- Statistical area level 4
- Significant urban area
- Greater capital city statistical areas
- State/Territory
For details of these areas refer to the ASGS.
Scope
People aged one year and over
Categories
Code | Category |
---|---|
In addition to the ASGS geographic areas outlined above, the following categories are also included: | |
9099 | Capital city nfd |
9299 | Overseas |
9499 | No usual address |
9799 | Migratory, off-shore and shipping |
9899 | State/Territory nfd |
&&&& | Not stated |
@@@@ | Not applicable |
VVVV | Overseas visitors |
Number of categories: Total number of categories will depend on the geographic level chosen
Not applicable (@@@@) category comprises:
- Persons aged under 1 year
See Understanding supplementary codes for more information.
Special purpose code definitions
Special purpose code | Definition |
---|---|
Capital city nfd |
Used to code place of usual residence one and five years ago. Used where a respondent has given incomplete address information on the Census form. But has given enough information to allow coding to a capital city. There is a category for each capital city:
|
State/Territory nfd |
Used to code place of usual residence one and five years ago. Used where a respondent has given incomplete address information on the Census form but has given enough information to allow coding to a state/territory. There is a category for each state/territory:
|
Migratory |
Used to code people who are in transit on long distance trains, buses, aircraft, and long-haul road transport vehicles on Census Night. |
Off-shore |
Used to code people who are on oil rigs and drilling platforms etc. on Census Night. Also used for expeditioners in the Australian Antarctic Territory. |
Shipping |
Used to code people who are on board vessels in Australian waters, in or between Australian ports on Census Night. |
No usual address |
Used to code people who have no fixed address, such as travellers who move across Australia. |
Not applicable |
Used to code a person’s place of usual residence one and five years ago, for children who had not been born one or five years ago. |
Overseas |
Used to code a person’s place of usual residence one and five years ago, for people who lived overseas one and five years ago. |
Question(s) from the Census form
Where does the person usually live?
More information
Where did the person usually live one year ago (at 10 August 2020)?
Example
More information
How this variable is created
PUR1P is coded to SA2 geography based on the response to the question, 'Where did the person usually live one year ago (at 10 August 2020)?'. If PUR1P cannot be coded to SA2 geography, it is assigned to a 'Capital city nfd' category, or a 'State/Territory nfd' category.
For people whose place of usual residence one year ago was the same as their place of usual residence on Census Night, PUR1P is automatically derived from Place of usual residence (PURP). People who lived overseas one year ago are coded to ‘Overseas’. For people who lived elsewhere in Australia one year ago, the address details provided on the form are coded using automatic or clerical processes.
People who did not answer 'Where did the person usually live one year ago (at 10 August 2020)?' are coded to ‘Not stated’.
History and changes
The question 'Where did the person usually live one year ago?' was first asked in the 1976 Census and has been asked at every Census since.
In 2021, Geographic classifications have been changed to reflect the updated ASGS used for the 2021 Census. Supplementary code ‘Undefined state’ has been updated to ‘State/Territory nfd’ to better reflect the category.
Data use considerations
There are no data use considerations for this variable.
The non-response rate for Place of usual residence one year ago (PUR1P) was 6.0% in 2021. This is a decrease from 8.6% in 2016.
Related variables and glossary terms
- Place of usual residence (PURP)
- Usual address indicator census night (UAICP)
- Usual address one year ago indicator (UAI1P)
- Internal migration
- Usual residence
Useful links
Place of usual residence five years ago (PUR5P)
Definition
This variable records the geographic area in which a person usually lived five years before the Census. The base area that is output for Place of usual residence five years ago (PUR5P) is Statistical area level 2 (SA2). These can be aggregated to form higher Australian Statistical Geography Standard (ASGS) areas:
- Statistical area level 3
- Statistical area level 4
- Significant urban area
- Greater capital city statistical areas
- State/Territory
For details of these areas refer to the ASGS.
Scope
Persons aged five years and over
Categories
Code | Category |
---|---|
In addition to the ASGS geographic areas outlined above, the following categories are also included: | |
9099 | Capital city nfd |
9299 | Overseas |
9499 | No usual residence |
9799 | Migratory, off-shore and shipping |
9899 | State/Territory nfd |
&&&& | Not stated |
@@@@ | Not applicable |
VVVV | Overseas visitors |
Number of categories: Total number of categories will depend on the geographic level chosen
Not applicable (@@@@) category comprises:
- Persons aged under 5 year
See Understanding supplementary codes for more information.
Special purpose code definitions
Special purpose code | Definition |
---|---|
Capital city nfd |
Used to code place of usual residence one and five years ago. Used where a respondent has given incomplete address information on the Census form but has given enough information to allow coding to a capital city. There is a category for each capital city:
|
State/Territory nfd |
Used to code place of usual residence one and five years ago. Used where a respondent has given incomplete address information on the Census form but has given enough information to allow coding to a state/territory. There is a category for each state/territory:
|
Migratory |
Used to code people who are in transit on long distance trains, buses, aircraft and long-haul road transport vehicles on Census Night. |
Off-shore |
Used to code people who are on oil rigs and drilling platforms etc. on Census Night. Also used for expeditioners in the Australian Antarctic Territory. |
Shipping |
Used to code people who are on board vessels in Australian waters, in or between Australian ports on Census Night. |
No usual residence |
Used to code people who have no fixed address, such as travellers who move across Australia. |
Not applicable |
Used to code a person’s place of usual residence one and five years ago, for children who had not been born one or five years ago. |
Overseas |
Used to code a person’s place of usual residence one and five years ago, for people who lived overseas one and five years ago. |
Question(s) from the Census form
Where does the person usually live?
More Information
Where did the person usually live five years ago (at 10 August 2016)?
Example
More Information
How this variable is created
PUR5P is coded to SA2 based on the response to the question 'Where did the person usually live five years ago (at 10 August 2016)?'. If PUR5P cannot be coded to the SA2 geography, it is assigned to a 'Capital city nfd' category, or a 'State/Territory nfd' category.
For people whose place of usual residence five years ago was the same as their place of usual residence on Census Night, their PUR5P is automatically derived from Place of usual residence (PURP). People who lived overseas five years ago are coded to ‘Overseas’. For people who lived elsewhere in Australia five years ago, the address details provided on the form are coded using automatic or clerical processes.
People who did not answer the question 'Where did the person usually live five years ago (at 10 August 2016)?' are coded to ‘Not stated’.
History and changes
This question relating to place of usual residence five years ago was first asked in the 1971 Census and has been asked at every Census since then.
In 2021, Geographic classifications have been changed to reflect the updated ASGS used for the 2021 Census. Supplementary code ‘Undefined state’ has been updated to ‘State/Territory nfd’ to better reflect the category.
Data use considerations
There are no data use considerations for this variable.
The non-response rate for Place of usual residence five year ago (PUR5P) was 6.9% in 2021. This is a decrease from 8.0% in 2016.
Related variables and glossary terms
- Place of usual residence (PURP)
- Usual address indicator census night (UAICP)
- Usual address five years ago indicator (UAI5P)
- Internal migration
- Usual residence
Useful links
Place of usual residence (PURP)
Definition
This variable records the geographic area in which a person usually lives. It may or may not be the place where the person was counted on Census Night. The base area for Place of usual residence (PURP) is a mesh block (MB). These can be aggregated to form higher Australian Statistical Geography Standard (ASGS) areas.
For details of these areas refer to the ASGS.
Scope
All persons
Categories
Code | Category |
---|---|
In addition to the ASGS geographic areas, the following categories are also included: | |
Migratory, off-shore and shipping | |
No usual address | |
VVVV | Overseas visitor |
Number of categories: Total number of categories will depend on the geographic level chosen
See Understanding supplementary codes for more information.
Special purpose code definitions
Special purpose codes | Definition |
---|---|
Migratory | Used to code people who are in transit on long distance trains, buses, aircraft and long-haul road transport vehicles on Census Night. |
Off-shore | Used to code people who are on oil rigs and drilling platforms etc. on Census Night. Also used for expeditioners in the Australian Antarctic Territory. |
Shipping | Used to code people who are on board vessels in Australian waters, in or between Australian ports on Census Night. |
No usual address | Used to code people who have no fixed address, such as travellers who move across Australia. |
Question(s) from the Census form
What is the address of this dwelling?
More Information
Where does the person usually live?
More information
How this variable is created
For people who are at home on Census Night, Place of usual residence (PURP) is automatically derived from their place of enumeration.
People who usually lived overseas are coded as ‘Overseas visitors’.
People who have 'no usual address' are instructed on the Census form to write 'None' in the suburb/locality field for the usual address question. Each state/territory has one Statistical area 1 (SA1) and Statistical area 2 (SA2) imputed specifically for these responses.
Shipping SA1s and Offshore SA1s are also valid for PURP.
For people who live elsewhere in Australia, address details that are provided on the form are coded to mesh block (MB) where possible using automatic or clerical processes. MBs are the smallest geographical unit in the ABS and form the basis for the larger regions of the ASGS.
Where incomplete address of usual residence is given, PURP is imputed at different geography levels using the ASGS. The variable Imputation flag for place of usual residence (IFPURP) indicates if a person's PURP was imputed in the Census, and to what level. For more information about imputation, see imputation in the Census Glossary.
Migratory SA1s are invalid for place of usual residence and such responses are imputed to a valid spatial SA1.
History and changes
A question relating to place of usual residence was first asked in the 1971 Census and has been asked at every Census since then. Prior to the 1961 Census, questions did not differentiate between place of enumeration and place of usual residence.
Since the 2001 Census, an additional note was included: 'For persons who usually live in another country and who are visiting Australia for less than one year, mark 'Other country'.
The categories in this variable have changed to reflect the updated ASGS used for the 2021 Census. Provision is also made for persons who indicate that they have no usual place of residence.
Prior to 2016, usual address information for persons staying in a non-private dwelling (hotel, hospitals) on Census Night was recorded on a Summary form by a Census Field Officer. In 2016, under the new enumeration method, usual address information was no longer collected during the non-private dwelling enumeration process. If a form was not returned by a respondent in a non-private dwelling, demographic information including their usual address was imputed based on people in similar non-private dwellings.
For 2021, instructional text was added to aid people without a fixed or return address by including examples ‘due to family conflict’ or ‘eviction’.
Data use considerations
The technical definition of usual residence refers to the address at which a person lives or intends to live for six months or more. However, the data is self-reported and sometimes, the address that is reported may be what respondents consider their 'usual address' rather than the technical definition. People visiting Australia from another country for less than one year are considered overseas visitors.
Using the Imputation Flag for Place of Usual Residence (IFPURP), the non-response rate for Place of usual residence (PURP) at the Statistical Area Level 2 (SA2) geographic level was 4.3% in 2021. This is a decrease from 5.4% in 2016.
The non-response rate at the Statistical Area Level 1 (SA1) geographic level was 4.4% in 2021. This is a decrease from 5.5% in 2016. For more information on imputation, see Census Methodology.
Related variables and glossary terms
- Place of usual residence one year ago (PUR1P)
- Place of usual residence five years ago (PUR5P)
- Usual address indicator Census night (UAICP)
- Census counts
- Derivation
- Estimated resident population (ERP)
- Imputation
- Internal migration
- Place of enumeration
- Usual residence
- Visitors to Australia
Usual address one year ago indicator (UAI1P)
Definition
This variable indicates whether a person:
- lived in the same address one year ago as their current usual residence
- lived elsewhere in Australia one year ago
- usually lived in another country one year ago
This variable when used with Usual address indicator Census Night (UAICP), Usual address five years ago indicator (UAI5P), and additionally with Place of usual residence (PURP) data, shows migration patterns.
Scope
All persons aged one year and over
Categories
Code | Category |
---|---|
1 | Same as in 2021 |
2 | Elsewhere in Australia |
3 | Overseas in 2020 |
& | Not stated |
@ | Not applicable |
V | Overseas visitor 2021 |
Number of categories: 6
Not applicable (@) category comprises:
- Persons aged under 1 year
See Understanding supplementary codes for more information.
Question(s) from the Census form
Where did the person usually live one year ago (at 10 August 2020)?
Example
More information
How this variable is created
This variable contains the response category answer to the question 'Where did the person usually live one year ago (at 10 August 2020)?'. The responses are captured automatically from mark box responses on the form.
Where the indicator mark boxes have been left blank by a respondent, but they have reported an address one year ago, UAI1P is derived based on the address reported. If the respondent does not report either the indicator or the address, they will be set to 'Not stated'. However, where a person who is aged under 16 years (i.e. they were aged under 15 years one year ago) does not respond to the usual address one year ago question, but their parent(s) did respond, their UAI1P is set to the same value as their parent.
History and changes
The question relating to the usual address one year ago was first asked in the 1976 Census and has been asked at every Census since.
In 2021, the categories with years have been updated to 2021 and the previous year of 2020.
Data use considerations
There are no data use considerations for this variable.
The non-response rate for Usual address one year ago indicator (UAI1P) was 5.5% in 2021. This is a decrease from 8.3% in 2016.
Related variables and glossary terms
- Place of usual residence (PURP)
- Place of usual residence one year ago (PUR1P)
- Usual address indicator Census Night (UAICP)
- Internal migration
- Usual residence
Useful links
Usual address five years ago indicator (UAI5P)
Definition
This variable indicates whether a person:
- lived in the same address five years ago as their current usual residence
- lived elsewhere in Australia five years ago
- usually lived in another country five years ago
This variable when used with Usual address Census Night indicator (UAICP), Usual address one year ago indicator (UAI1P), and also with Place of usual residence (PURP) data, shows migration patterns.
Scope
All persons aged five years and over
Categories
Code | Category |
---|---|
1 | Same as in 2021 |
2 | Elsewhere in Australia |
3 | Overseas in 2016 |
& | Not stated |
@ | Not applicable |
V | Overseas visitor 2021 |
Number of categories: 6
Not applicable (@) category comprises:
- Persons aged under 5 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
Where did the person usually live five years ago (at 10 August 2016)?
Example
More Information
How this variable is created
This variable is derived from the response category answer to the question on the 2021 Census forms which asks, 'Where did the person usually live five years ago (at 10 August 2016)?'.
The responses to this question are captured automatically from mark box responses on the form. Where the indicator mark boxes have been left blank by a respondent but they have reported an address five years ago, UAI5P is derived based on the address reported. If the respondent does not report either the indicator or the address, they will be set to 'Not stated'. However, where a person who is aged under 20 years (i.e. they were aged under 15 years five years ago) does not respond to the usual address five years ago question, but their parent(s) did respond, their UAI5P is set to the same value as their parent.
History and changes
The question relating to usual address five years ago was first asked in the 1971 Census and has been asked at every Census since then.
In Censuses prior to 2011, there was a separate category for people who had the same address five years ago as for their address one year ago. This allowed users to differentiate between those people who lived at a different address five years ago and one year ago, compared with those who lived at the same address five years ago and one year ago. While the data is collected and processed in the same way, this information is no longer publicly available as it is merged with 'elsewhere in Australia' prior to release.
In 2021, the categories with years have been updated to 2021, the previous year of 2020 and 2016 for five years ago.
Data use considerations
There are no data use considerations for this variable.
The non-response rate for Usual address five years ago indicator (UAI5P) was 6.0% in 2021. This is a decrease from 7.3% in 2016.
Related variables and glossary terms
- Place of usual residence (PURP)
- Place of usual residence one year ago (PUR1P)
- Place of usual residence five years ago (PUR5P)
- Usual address one year ago indicator (UAICP)
- Internal migration
- Usual residence
Useful links
Usual address indicator Census night (UAICP)
Definition
This variable indicates whether a person was at home or elsewhere on Census Night. It contains the answer to the Census question about usual residence, which asks if the person usually lived:
- at the address on the front of the Census form (where they were on Census Night)
- elsewhere in Australia
- overseas.
In cases where a person did not state where they usually live, Usual address indicator Census night (UAICP) and Place of usual residence (PURP) are imputed. See Imputation flag for place of usual residence (IFPURP).
Scope
All persons
Categories
Code | Category |
---|---|
1 | At home |
2 | Elsewhere in Australia |
V | Overseas visitor 2021 |
Number of categories: 3
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the address of this dwelling?
More information
Where does the person usually live?
More information
How this variable is created
The data is largely captured from mark-box responses on the form, so the risk of processing error is low. Where the indicator mark boxes have been left blank by a respondent, but they have reported a usual address, UAICP is derived based on the address reported. Data may also be derived based on the relationship information reported on the form indicating that they are a visitor.
Usual residence data is a key demographic variable. If a person does not state where they usually live, UAICP and PURP are imputed. For more information about imputation, see imputation in the Census Glossary.
History and changes
A question relating to usual residence was first asked in the 1971 Census and has been asked at every Census since.
The question was updated in 2021, instructional text was added to help people answer the question on usual address. Examples including ‘due to family conflict’ or ‘eviction’ were added to assist people who have no fixed or return usual address answer the question.
Data use considerations
This variable, when used with the following data shows migration patterns:
- Usual address one year ago indicator (UAI1P)
- Usual address five years ago indicator (UAI5P)
- Place of usual residence (PURP)
Usual address indicator Census night (UAICP) is derived from Imputation flag for place of usual residence (IFPURP). Using the Imputation flag for place of usual residence (IFPURP), the non-response rate for Usual address indicator Census night (UAICP) was 4.3% in 2021. This is a decrease from 5.4% in 2016. For more information on imputation, see Census Methodology.
Related variables and glossary terms
- Imputation flag for place of usual residence (IFPURP)
- Internal migration
- Place of enumeration
- Usual residence
Population
Mnemonic | Variable | Release | |
---|---|---|---|
AGE10P | Age in ten year groups | June 2022 | |
AGE5P | Age in five year groups | June 2022 | |
AGEP | Age | June 2022 | |
FTCP | Form type | April 2023 | |
IFAGEP | Imputation flag for age | June 2022 | |
IFSEXP | Imputation flag for sex | June 2022 | |
SEXP | Sex | June 2022 | |
TISP | Number of children ever born | June 2022 | |
TISRP | Number of children ever born (ranges) | June 2022 |
Age in ten year groups (AGE10P)
Scope
All persons
Categories
Code | Category |
---|---|
01 | 0-9 years |
02 | 10-19 years |
03 | 20-29 years |
04 | 30-39 years |
05 | 40-49 years |
06 | 50-59 years |
07 | 60-69 years |
08 | 70-79 years |
09 | 80-89 years |
10 | 90-99 years |
11 | 100 years and over |
Number of categories: 11
Question(s) from the Census form
What is the person’s date of birth and age?
Example
Example
More Information
How this variable is created
Age is calculated from date of birth when provided, otherwise stated age is used. Where both sets of information are provided, date of birth is used to derive an age in years, except in circumstances where errors in the date of birth are identified. Age data is only output in whole years.
Where a respondent does not answer the age question, age is imputed using other information on the form and using an age distribution of the population. Where respondents report an age outside the acceptable range or where there were inconsistencies between age and relationship data, age is also imputed. For more information about imputation please see imputation in the Census Glossary.
The Imputation Flag for Age variable (IFAGEP) indicates if a person's age was imputed in the Census.
History and changes
A question relating to age has been asked in every Census since 1911. Since 2006, respondents have had the option to report either date of birth or age in years.
For 2021, question wording changed from 'or' to 'and' in both the question wording and response area. The online form has been changed to primarily ask for date of birth (DOB) and the respondent is presented with a check box if DOB is not known so that they can enter the person’s age. This is to encourage the provision of more accurate data.
Data use considerations
Age data, combined with sex data, is essential to produce accurate population estimates based on the Census count.
Age is used during processing as a cross check with other variables; for example, the age of the respondent determines whether particular questions asked in the Census are applicable.
Respondents occasionally make errors in reporting their age or date of birth, such as:
- reporting their last birthday or the date they filled out their Census form rather than their date of birth
- parents filling in the form on their children's behalf and inadvertently reporting their own age or date of birth for their children
- character transposition errors
- other typographical errors (e.g. sticky key repetition).
There are a small number of areas where there was a high level of non-response to the age question and age was imputed. The age distribution in areas where there are high levels of age imputation may not be representative of the underlying population and should be interpreted with caution. This is more noticeable in the small number of remote communities where there is a high level of age imputation (more than 20% of Census counts), combined with the reporting of Aboriginal and/or Torres Strait Islander status. The data for people where age was reported is not impacted.
Using the Imputation Flag for Age (IFAGEP), the non-response rate for Age was 4.4% in 2021. This is a decrease from 5.6% in 2016. For more information on imputation, see Census Methodology.
Useful links
Age in five year groups (AGE5P)
Scope
All persons
Categories
Code | Category |
---|---|
01 | 0-4 years |
02 | 5-9 years |
03 | 10-14 years |
04 | 15-19 years |
05 | 20-24 years |
06 | 25-29 years |
07 | 30-34 years |
08 | 35-39 years |
09 | 40-44 years |
10 | 45-49 years |
11 | 50-54 years |
12 | 55-59 years |
13 | 60-64 years |
14 | 65-69 years |
15 | 70-74 years |
16 | 75-79 years |
17 | 80-84 years |
18 | 85-89 years |
19 | 90-94 years |
20 | 95-99 years |
21 | 100 years and over |
Number of categories: 21
Question(s) from the Census form
What is the person’s date of birth and age?
Example
Example
More information
How this variable is created
Age is calculated from date of birth when provided, otherwise stated age is used. Where both sets of information are provided, date of birth is used to derive an age in years, except in circumstances where errors in the date of birth are identified. Age data is only output in whole years.
Where a respondent does not answer the age question, age is imputed using other information on the form and using an age distribution of the population. Where respondents report an age outside the acceptable range or where there were inconsistencies between age and relationship data, age is also imputed. For more information about imputation please see imputation in the Census Glossary.
The Imputation Flag for Age variable (IFAGEP) indicates if a person's age was imputed in the Census.
History and changes
A question relating to age has been asked in every Census since 1911. Since 2006, respondents have had the option to report either date of birth or age in years.
For 2021, question wording changed from 'or' to 'and' in both the question wording and response area. The online form has been changed to primarily ask for date of birth (DOB) and the respondent is presented with a check box if DOB is not known so that they can enter the person’s age. This is to encourage the provision of more accurate data.
Data use considerations
Age data, combined with sex data, is essential to produce accurate population estimates based on the Census count.
Age is used during processing as a cross check with other variables; for example, the age of the respondent determines whether particular questions asked in the Census are applicable.
Respondents occasionally make errors in reporting their age or date of birth, such as:
- reporting their last birthday or the date they filled out their Census form rather than their date of birth
- parents filling in the form on their children's behalf and inadvertently reporting their own age or date of birth for their children
- character transposition errors
- other typographical errors (e.g. sticky key repetition).
There are a small number of areas where there was a high level of non-response to the age question and age was imputed. The age distribution in areas where there are high levels of age imputation may not be representative of the underlying population and should be interpreted with caution. This is more noticeable in the small number of remote communities where there is a high level of age imputation (more than 20% of Census counts), combined with the reporting of Aboriginal and/or Torres Strait Islander status. The data for people where age was reported is not impacted.
Using the Imputation Flag for Age (IFAGEP), the non-response rate for Age was 4.4% in 2021. This is a decrease from 5.6% in 2016. For more information on imputation, see Census Methodology.
Useful links
Age (AGEP)
Scope
All persons
Categories
Code | Category |
---|---|
000-115 | 0 to 115 years of age singly |
Number of categories: 116
Question(s) from the Census form
What is the person’s date of birth and age?
Example
More Information
How this variable is created
Age is calculated from date of birth when provided, otherwise stated age is used. Where both sets of information are provided, date of birth is used to derive an age in years, except in circumstances where errors in the date of birth are identified. Age data is only output in whole years.
Where a respondent does not answer the age question, age is imputed using other information on the form and using an age distribution of the population. Where respondents report an age outside the acceptable range or where there were inconsistencies between age and relationship data, age is also imputed. For more information about imputation, please see imputation in the Census Glossary.
The Imputation flag for age (IFAGEP) variable indicates if a person's age was imputed in the Census.
History and changes
A question relating to age has been asked in every Census since 1911. Since 2006, respondents have had the option to report either date of birth or age in years.
For 2021, question wording changed from 'or' to 'and' in both the question wording and response area. The online form has been changed to primarily ask for date of birth (DOB) and the respondent is presented with a check box if DOB is not known so that they can enter the person’s age. This is to encourage the provision of more accurate data.
Data use considerations
Age data, combined with sex data, is essential to produce accurate population estimates based on the Census count.
Age is used during processing as a cross check with other variables; for example, the age of the respondent determines whether particular questions asked in the Census are applicable.
Respondents occasionally make errors in reporting their age or date of birth, such as:
- reporting their last birthday or the date they filled out their Census form rather than their date of birth
- parents filling in the form on their children's behalf and inadvertently reporting their own age or date of birth for their children
- character transposition errors
- other typographical errors (e.g. sticky key repetition).
Character transposition and typographical errors are particularly relevant to the online version of the Census form.
Data captured from written responses carries a small risk of character recognition error, mainly caused by poor handwriting or respondents writing outside the question box. The vast majority of individual characters written on paper forms met pre-set recognition confidence levels and were accepted without further examination. Characters that failed given recognition confidence levels, or responses where there was a discrepancy of more than three years between age last birthday and date of birth, were sent to clerical officers for further determination based on visual inspection of an image of the response.
Other checks on age (such as unlikely combinations of age and other variables) were made at various stages during processing, to ensure an acceptable level of quality was maintained.
There are a small number of areas where there was a high level of non-response to the age question and age was imputed. The age distribution in areas where there are high levels of age imputation may not be representative of the underlying population and should be interpreted with caution. This is more noticeable in the small number of remote communities where there is a high level of age imputation (more than 20% of Census counts), combined with the reporting of Aboriginal and/or Torres Strait Islander status. The data for people where age was reported is not impacted.
Using the Imputation flag for age (IFAGEP), the non-response rate for Age (AGEP) was 4.4% in 2021. This is a decrease from 5.6% in 2016. For more information on imputation, see Census Methodology.
Related variables and glossary terms
- Age in five year groups (AGE5P)
- Age in ten year groups (AGE10P)
- Imputation flag for age (IFAGEP)
- Derivation
- Imputation
- Visitors to Australia
Useful links
Imputation flag for age (IFAGEP)
Definition
This variable indicates if a person's age was imputed. Imputation is a statistical process for predicting values where no response was provided to a question and a response could not be derived.
See also, Age (AGEP).
Scope
All persons
Categories
Code | Category |
---|---|
1 | Age not imputed |
2 | Age imputed |
Number of categories: 2
Question(s) from the Census form
What is the person’s date of birth and age?
Example
Example
More information
How this variable is created
When age is imputed this variable is coded to ‘02 Age imputed’. See Age (AGEP) for methods on how age is imputed.
History and changes
No changes have been made for 2021.
Data use considerations
Imputation flag for age (IFAGEP) can be used to identify how many respondents’ age was imputed at different geographical levels.
Using the Imputation Flag for Age (IFAGEP), the non-response rate for Age was 4.4% in 2021. This is a decrease from 5.6% in 2016. For more information on imputation, see Census Methodology.
Related variables and glossary terms
Imputation flag for sex (IFSEXP)
Definition
This variable indicates if a person's binary sex was imputed. Imputation is a statistical process for predicting values where no response was provided to a question and a response could not be derived.
Scope
All persons
Categories
Code | Category |
---|---|
01 | Sex not imputed |
02 | Sex imputed |
Number of categories: 2
Question(s) from the Census form
Is the person: Male; Female; Non-binary sex
Question presented when 'Select something other than male or female' hyperlink is chosen
Example
How this variable is created
This variable is created during the processing of the Sex (SEXP) variable. When a record has sex imputed it is coded to ‘02 Sex imputed’ and where a record uses information from the Census form it is coded to ’01 Sex not imputed’.
For more information about imputation, please see the Sex (SEXP) variable and imputation in the Census Glossary.
History and changes
The Imputation flag for sex (IFSEXP) variable was first used in 2016.
No changes have been made for 2021.
Data use considerations
There are no known data use considerations at this time.
Using the Imputation Flag for Sex (IFSEXP), the non-response rate for Sex was 4.7% in 2021. This is a decrease from 5.8% in 2016. For more information on imputation, see Census Methodology.
Related variables and glossary terms
Useful links
Sex (SEXP)
Definition
This variable records each person’s sex. A person's sex is based on their sex characteristics, such as their chromosomes, hormones and reproductive organs. If sex is not stated it is imputed.
See also, Imputation flag for sex (IFSEXP).
Scope
All persons
Categories
Code | Category |
---|---|
1 | Male |
2 | Female |
Number of categories: 2
Question(s) from the Census form
Is the person: Male; Female; Non-binary sex
Question presented when 'Select something other than male or female' hyperlink is chosen
Example
How this variable is created
Responses to the sex question are captured from mark box responses on the form so the risk of processing error is minimal. Male, female and non-binary sex are the three options. A person can select one response only or they can select more than one response (male and non-binary sex, or female and non-binary sex). The online Census form allows respondents who select the non-binary sex response to provide further information. This field is optional and can be used to describe the circumstances specific to the person responding.
Note that data collected from the sex question will be reported in most Census data releases as ‘male’ or ‘female’ in order to maintain the quality of standard products at the small area level. Where a respondent has provided a male or female response and a non-binary sex response, the male or female response will be used to determine a binary sex variable. Otherwise, sex will be derived by a statistical process using random allocation.
Binary sex is also imputed when the question is not answered. If sex is missing on partially completed forms, it is imputed by automated and manual coding processes using relevant information provided on the incomplete form. For records that could not be resolved through this process, sex is derived by a statistical process using random allocation. For more information about imputation, please see imputation in the Census glossary.
The Imputation flag for sex (IFSEXP) variable indicates if a person's sex was imputed in the Census.
History and changes
A question on sex has been asked at every Census since 1911.
In 2016, respondents had the option to respond as 'other sex'. If a person wanted to identify as other than male or female, they were instructed to call the Census Inquiry Service for information on how to identify on Census forms. To respond online, they were given specific login details to access an alternate form which allowed them to select 'other' and enter in information in a 'please specify' text box. To respond on a paper form, they were instructed to write on the right-hand side of the response area and these were checked manually to record a respondent's 'other sex' category.
In 2021, a ‘non-binary sex’ option was added as an input category to the standard question, however the output categories for this variable are unchanged for 2021.
Data use considerations
The question on the Census asks about a person’s sex, which is based on their sex characteristics, such as their chromosomes, hormones and reproductive organs.
Respondents were instructed to answer in the way that applies to them, with the guidance that the non-binary sex category was included to provide an option for people who are not exclusively male or female, for example people with variations in sex characteristics or who are intersex.
Feedback from respondents and members of the LGBTIQ+ community during Census enumeration identified some confusion on how to answer the question for people who are gender diverse, gender non-binary or transgender. It is therefore likely that some respondents answered based on their gender identity rather than their biological sex. Research undertaken by the ABS in developing the sex question for the Census suggests that this was also the case in previous censuses. This is not able to be quantified for respondents who selected a binary sex response, for example a person born male but living as a woman for many years may select ‘female’ as their response, noting this may be balanced out with respondents who were born female but living as a man and selecting ‘male’ as their response.
The ABS has released some analysis of the responses to ‘non-binary sex’ in an analytical article. To view the article visit Analysis of non-binary sex responses. While this article outlines some of the ways this group responded to the sex question, it also highlights the limitations of collecting data in this way. For more information see also Non-binary sex in the 2021 Census.
Using the Imputation Flag for Sex (IFSEXP), the non-response rate for Sex (SEXP) was 4.7% in 2021. This is a decrease from 5.8% in 2016.
Related variables and glossary terms
- Imputation flag for sex (IFSEXP)
- Derivation
- Hotdecking
- Imputation
- Non-binary sex
- Visitors to Australia
Number of children ever born (TISP)
Definition
This variable records the number of children ever born to each female aged 15 years and over.
Scope
Females aged 15 years and over
Categories
Code | Category |
---|---|
00 | No children |
01 | 1 child |
02 | 2 children |
03 | 3 children |
04 | 4 children |
05 | 5 children |
06 | 6 children |
07 | 7 children |
08 | 8 children |
09 | 9 children |
10 | 10 children |
11 | 11 children |
12 | 12 children |
13 | 13 children |
14 | 14 children |
15 | 15 children |
16 | 16 children |
17 | 17 children |
18 | 18 children |
19 | 19 children |
20 | 20 children |
21 | 21 children |
22 | 22 children |
23 | 23 children |
24 | 24 children |
25 | 25 children |
26 | 26 children |
27 | 27 children |
28 | 28 children |
29 | 29 children |
30 | 30 or more children |
&& | Not stated |
@@ | Not applicable |
VV | Overseas visitor |
Number of categories: 34
Not applicable (@@) category comprises:
- Males
- Females aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
For each female, how many babies has she ever given birth to?
More information
How this variable is created
Data for this variable is captured automatically from written numeric responses, or the 'None' response category on the paper form. All numeric responses are accepted as reported.
History and changes
This question was first asked in the 1981 Census.
For 2016, an instruction on the form to include live births only was removed, due to evidence of the sensitivities of this question which cannot be overcome effectively in a self-report questionnaire. This instruction was previously included to collect births information according the United Nations Standard.
No changes have been made for 2021.
Data use considerations
The data may include a small proportion of persons with unusually high numbers of children ever born, as all numeric responses are accepted as reported.
For the Census online form, females aged 15 years and over were asked this question. Male respondents and people who responded only with non-binary sex were not asked this question.
The non-response rate for Number of children ever born (TISP) was 6.7% in 2021. This is a decrease from 8.0% in 2016.
Useful links
Number of children ever born (ranges) (TISRP)
Definition
This variable records the number of children ever born to each female aged 15 years and over in ranges.
Scope
Females aged 15 years and over
Categories
Code | Category |
---|---|
0 | No children |
1 | One child |
2 | Two children |
3 | Three children |
4 | Four children |
5 | Five children |
6 | Six children |
7 | Seven children |
8 | Eight or more children |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 12
Not applicable (@@) category comprises:
- Males
- Females aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
For each female, how many babies has she ever given birth to?
More Information
How this variable is created
Data for this variable is captured automatically from written numeric responses, or the 'None' response category on the paper form. All numeric responses are accepted as reported.
History and changes
This question was first asked in the 1981 Census.
For 2016, an instruction on the form to include live births only was removed, due to evidence of the sensitivities of this question which cannot be overcome effectively in a self-report questionnaire. This instruction was previously included to collect births information according the United Nations Standard.
No changes have been made for 2021.
Data use considerations
The data may include a small proportion of persons with unusually high numbers of children ever born, as all numeric responses are accepted as reported.
For the Census online form, females aged 15 years and over were asked this question. Male respondents and people who responded only with non-binary sex were not asked this question.
This variable is derived from Number of children ever born (TISP). The non-response rate for Number of children ever born (TISP) was 6.7% in 2021. This is a decrease from 8.0% in 2016.
Useful links
Form type (FTCP)
Definition
This variable indicates the type of form a person used to submit their 2021 Census responses.
For the 2021 Census, information was collected in a number of ways from the Australian public. For most people, information was returned to the ABS via either an online form or a paper form.
A Census instruction letter was delivered to most dwellings in mail-out areas across Australia. In 2021, approximately 85% of dwellings were in mail-out areas. Each letter had a unique login code which respondents could use to access an online form. The letter also contained information on how to request a paper form.
Scope
All persons
Categories
Code | Category |
---|---|
1 | Personal or household paper form |
2 | Personal or household Eform |
3 | Other form types |
Number of categories: 3
Category definitions
Personal or household paper form:
Personal and household paper forms are physical forms which respondents completed and posted back to the ABS via Australia Post.
People who wanted to keep their Census responses private from others in the household could request a personal paper form via the Census website and mail their responses back individually. Personal forms are also used in non-private dwellings and in large households.
Personal or household Eform:
Personal and household Eforms are electronic versions of the Census forms which respondents completed and submitted online via the Census website.
Other form types:
Other form types are comprised of other physical personal and household forms such as the special short form and the interviewer household form. These forms were completed by an ABS field officer on behalf of a person or household and were returned to the ABS via Australia Post.
ABS field officers used the special short form to record responses for people experiencing homelessness.
People living in remote Aboriginal and Torres Strait Islander communities had the option to provide information directly to an ABS field officer or they could complete their own paper or online form. If information was provided to an ABS field officer, an interviewer household form was used to record the responses.
Question(s) from the Census form
This variable is not collected from a question on the Census form.
How this variable is created
All paper forms were mailed to the ABS Data Capture Centre (DCC). Online forms were encrypted and sent securely to the ABS DCC, these forms were then decrypted and loaded into systems alongside paper forms.
This variable was created using the information obtained about the form types received at the ABS DCC.
History and changes
This variable has been included in Census basic and detailed microdata products since 2016. There have been no changes made to this variable.
Data use considerations
In 2016, the ABS developed a new digital approach to the Census enumeration model. This approach provided a faster, more efficient, environmentally friendly Census than any previous Australian Census. The 2021 Census enumeration model was based on the successful elements of the 2016 Census with additional improvements to the way Census materials were delivered and collected.
The 2021 Census was the first time that the ABS actively encouraged households to complete and submit their Census form as soon as they received their materials, meaning this could be done before Census Night on 10 August. The letters also emphasised 12 August as a date after which the household may receive contact from the ABS. This messaging was designed to provide a ‘response window’, where previous censuses highlighted Census Night only.
Related variables and glossary terms
Useful links
Service with the Australian Defence Force
Australian Defence Force service, detailed (ADCP)
Definition
The Australian Defence Force (ADF) consists of regulars and reservists, and this variable provides a detailed breakdown of current and previous service for both. The ADF includes:
- Australian Army (including NORFORCE (North-West Mobile Force))
- Royal Australian Navy
- Royal Australian Air Force
This variable also includes people who previously served in the National Service and the Second Australian Imperial Force.
Regular service is considered a person’s main ongoing job, and most roles are full-time in nature.
Reserves service is normally part-time in nature and can include up to 200 days of service per year, depending on the role.
This variable does not capture people who have served in non-Australian defence forces.
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Currently serving in the regular service only |
2 | Currently serving in the reserves service only |
3 | Currently serving in the regular service and previously served in the reserves service |
4 | Currently serving in the reserves service and previously served in the regular service |
5 | Previously served in the regular service only |
6 | Previously served in the reserves service only |
7 | Previously served in both the regular and reserves service |
8 | Has never served in the Australian Defence Force |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 11
Not applicable (@) comprises:
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person ever served in the Australian Defence Force?
More information
Example
How this variable is created
This variable is created from mark box responses to the Australian Defence Force service question. This is a multi-response question and respondents are instructed to mark all applicable responses. In some cases, the combination of responses provided are not valid including:
- All responses marked
- ‘No’ and any other response
- ‘Regular service – Yes, current service’ and ‘Regular service – Yes, previous service’
- ‘Reserves service – Yes, current service’ and ‘Reserves service – Yes, previous service’
- ‘Regular service – Yes, current service’ and ‘Reserves service – Yes, current service’
In these cases, processing rules determine how these responses are coded into the appropriate categories.
Where a person marks:
- All of the response options the variable is coded to ‘Not stated’
- ‘No’ and any other response, ‘No’ is rejected and other marked responses are accepted
- Current and previous service in the same service type (i.e. both in the regular service or both in the reserves service), the current service is prioritised
- Current service in both the regular and reserves service, the current service in the regular service is prioritised
The standard retirement age for regular service is 60 years and for reserves is 65 years. The following processing rule is applied for persons aged 65 years and older. Where a person is aged 65 years or older and has marked current Australian Defence Force service (either regular or reserves), then this service is changed to be recorded as previous service.
History and changes
This is a new variable for 2021.
Data use considerations
This is a new question for the 2021 Census. Whilst information outside of the ABS exists about people who are currently serving in the ADF, there is very limited information about people who have previously served. The Department of Veterans’ Affairs (DVA) knows about those veterans who use DVA services, but very little (if anything) is known about veterans who do not use DVA services. Census data will provide information to enable better delivery of services and supports to veterans.
To analyse the veteran population, users should group the following categories together:
- 5 Previously served in the regular service only
- 6 Previously served in the reserves service only
- 7 Previously served in both the regular and reserves service
The Australian Defence Force service question is not designed to capture breaks in service and data should not be used for this purpose.
The Australian Defence Force requires people to be 17 years and over to join. However, there are some programs available to people aged 17 years or younger and this may be viewed as service with the Australian Defence Force. Responses reported by 15 and 16 year olds for both current and previous service are accepted as reported.
The non-response rate for Service with the Australian Defence Force (ADCP/ADFP) was 6.0% in 2021.
Related variables and glossary terms
- Australian Defence Force service (ADFP)
Australian Defence Force service (ADFP)
Definition
This variable describes whether a person is currently serving or has previously served in the Australian Defence Force (ADF). The Australian Defence Force includes:
- Australian Army (including NORFORCE (North-West Mobile Force))
- Royal Australian Navy
- Royal Australian Air Force
This variable also includes people who previously served in the National Service and the Second Australian Imperial Force.
Regular service is considered a person’s main ongoing job, and most roles are full-time in nature.
Reserves service is normally part-time in nature and can include up to 200 days of service per year, depending on the role.
This variable does not capture people who have served in non-Australian defence forces.
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Currently serving in the regular service |
2 | Currently serving in the reserves service |
3 | Not currently serving (but has previously served in the Australian Defence Force) |
4 | Has never served in the Australian Defence Force |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 7
Not applicable (@) comprises:
- Persons under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
Has the person ever served in the Australian Defence Force?
More information
Example
How this variable is created
This variable is from mark box responses to the Australian Defence Force service question. This is a multi-response question and respondents are instructed to mark all applicable responses. In some cases, the combination of responses provided are not valid including:
- All responses marked
- ‘No’ and any other response
- ‘Regular service – Yes, current service’ and ‘Regular service – Yes, previous service’
- ‘Reserves service – Yes, current service’ and ‘Reserves service – Yes, previous service’
- ‘Regular service – Yes, current service’ and ‘Reserves service – Yes, current service’
In these cases, processing rules determine how these responses are coded into the appropriate categories. Where a person marks:
- All of the response options, the variable is coded to ‘Not stated’
- ‘No’ and any other response, ‘No’ is rejected and other marked responses are accepted
- Current and previous service in the same service type (i.e. both in the regular service or both in the reserves service), then current service is prioritised
- Current service in both the regular and reserves service, then current service in the regular service is prioritised
The standard retirement age for regular service is 60 years and for reserves is 65 years. The following processing rule is applied for persons aged 65 years and older. Where a person is aged 65 years or older and has marked current Australian Defence Force service (either regular or reserves), then this service is changed to be recorded as previous service.
This variable is an aggregated version of Australian Defence Force service, detailed (ADCP). The table below shows how the variables are related.
ADFP Australian Defence Force Service | ADCP Australian Defence Force Service, detailed | ||
---|---|---|---|
1 | Currently serving in the regular service | 1 | Currently serving in the regular service only |
1 | Currently serving in the regular service | 3 | Currently serving in the regular service and previously served in the reserves service |
2 | Currently serving in the reserves service | 2 | Currently serving in the reserves service only |
2 | Currently serving in the reserves service | 4 | Currently serving in the reserves service and previously served in the regular service |
3 | Not currently serving (but has previously served in the Australian Defence Force) | 5 | Previously served in the regular service only |
3 | Not currently serving (but has previously served in the Australian Defence Force) | 6 | Previously served in the reserves service only |
3 | Not currently serving (but has previously served in the Australian Defence Force) | 7 | Previously served in both the regular and reserves service |
4 | Has never served in the Australian Defence Force | 8 | Has never served in the Australian Defence Force |
& | Not stated | & | Not stated |
@ | Not applicable | @ | Not applicable |
V | Overseas visitor | V | Overseas visitor |
History and changes
This is a new variable for 2021.
Data use considerations
This is a new question for the 2021 Census. Whilst information outside of the ABS exists about people who are currently serving in the ADF, there is very limited information about people who have previously served. The Department of Veterans’ Affairs (DVA) knows about those veterans who use DVA services, but very little (if anything) is known about veterans who do not use DVA services. Census data will provide information to enable better delivery of services and supports to veterans.
To analyse the veteran population, users should look at category 3, ‘Not currently serving (but has previously served in the Australian Defence Force)’.
The Australian Defence Force requires people to be 17 years and over to join. However, there are some programs available to people aged 17 years or younger and this may be viewed as service with the Australian Defence Force. Responses reported by 15 and 16 year olds for both current and previous service are accepted as reported.
The non-response rate for Service with the Australian Defence Force (ADCP/ADFP) was 6.0% in 2021.
Related variables and glossary terms
- Australian Defence Force service, detailed (ADCP)
Transport
Mnemonic | Variable | Release | |
---|---|---|---|
DTWP | Distance to work (ranges) | April 2023 | |
IFDTWP | Imputed distance to work | April 2023 | |
MTW06P | Method of travel to work (6 travel modes) | October 2022 | |
MTW15P | Method of travel to work (15 travel modes) | October 2022 | |
MTWP | Method of travel to work | October 2022 | |
VEHD | Number of motor vehicles | June 2022 | |
VEHRD | Number of motor vehicles (ranges) | June 2022 |
Distance to work (ranges) (DTWP)
Definition
Scope
Persons aged 15 years and over who stated their labour force status as ‘employed’
Categories
Distance to work (ranges) categories
1 | Nil distance | |||
10 | Nil distance | |||
100 | Nil distance | |||
1000 | Nil distance | |||
2 | Over 0 to less than 2.5 | |||
20 | Over 0 to less than 1 | |||
200 | Over 0 to less than 0.5 | |||
2000 | Over 0 to less than 0.5 | |||
201 | 0.5 to less than 1 | |||
2010 | 0.5 to less than 1 | |||
21 | 1 to less than 2.5 | |||
210 | 1 to less than 2.5 | |||
2100 | 1 to less than 1.5 | |||
2101 | 1.5 to less than 2 | |||
2102 | 2 to less than 2.5 | |||
3 | 2.5 to less than 10 | |||
30 | 2.5 to less than 5 | |||
300 | 2.5 to less than 5 | |||
3000 | 2.5 to less than 3 | |||
3001 | 3 to less than 4 | |||
3002 | 4 to less than 5 | |||
31 | 5 to less than 10 | |||
310 | 5 to less than 10 | |||
3100 | 5 to less than 6 | |||
3101 | 6 to less than 7 | |||
3102 | 7 to less than 8 | |||
3103 | 8 to less than 9 | |||
3104 | 9 to less than 10 | |||
4 | 10 to less than 30 | |||
40 | 10 to less than 20 | |||
400 | 10 to less than 15 | |||
4000 | 10 to less than 11 | |||
4001 | 11 to less than 12 | |||
4002 | 12 to less than 13 | |||
4003 | 13 to less than 14 | |||
4004 | 14 to less than 15 | |||
401 | 15 to less than 20 | |||
4010 | 15 to less than 16 | |||
4011 | 16 to less than 17 | |||
4012 | 17 to less than 18 | |||
4013 | 18 to less than 19 | |||
4014 | 19 to less than 20 | |||
41 | 20 to less than 30 | |||
410 | 20 to less than 25 | |||
4100 | 20 to less than 21 | |||
4101 | 21 to less than 22 | |||
4102 | 22 to less than 23 | |||
4103 | 23 to less than 24 | |||
4104 | 24 to less than 25 | |||
411 | 25 to less than 30 | |||
4110 | 25 to less than 26 | |||
4111 | 26 to less than 27 | |||
4112 | 27 to less than 28 | |||
4113 | 28 to less than 29 | |||
4114 | 29 to less than 30 | |||
5 | 30 to less than 50 | |||
50 | 30 to less than 50 | |||
500 | 30 to less than 40 | |||
5000 | 30 to less than 32 | |||
5001 | 32 to less than 34 | |||
5002 | 34 to less than 36 | |||
5003 | 36 to less than 38 | |||
5004 | 38 to less than 40 | |||
501 | 40 to less than 50 | |||
5010 | 40 to less than 42 | |||
5011 | 42 to less than 44 | |||
5012 | 44 to less than 46 | |||
5013 | 46 to less than 48 | |||
5014 | 48 to less than 50 | |||
6 | 50 to less than 250 | |||
60 | 50 to less than 100 | |||
600 | 50 to less than 60 | |||
6000 | 50 to less than 52 | |||
6001 | 52 to less than 54 | |||
6002 | 54 to less than 56 | |||
6003 | 56 to less than 58 | |||
6004 | 58 to less than 60 | |||
601 | 60 to less than 80 | |||
6010 | 60 to less than 62 | |||
6011 | 62 to less than 64 | |||
6012 | 64 to less than 66 | |||
6013 | 66 to less than 68 | |||
6014 | 68 to less than 70 | |||
6015 | 70 to less than 72 | |||
6016 | 72 to less than 74 | |||
6017 | 74 to less than 76 | |||
6018 | 76 to less than 78 | |||
6019 | 78 to less than 80 | |||
602 | 80 to less than 100 | |||
6020 | 80 to less than 85 | |||
6021 | 85 to less than 90 | |||
6022 | 90 to less than 95 | |||
6023 | 95 to less than 100 | |||
61 | 100 to less than 250 | |||
610 | 100 to less than 250 | |||
6100 | 100 to less than 110 | |||
6101 | 110 to less than 120 | |||
6102 | 120 to less than 130 | |||
6103 | 130 to less than 140 | |||
6104 | 140 to less than 150 | |||
6105 | 150 to less than 200 | |||
6106 | 200 to less than 250 | |||
7 | 250 and over | |||
70 | 250 and over | |||
700 | 250 and over | |||
7000 | 250 to less than 300 | |||
7001 | 300 to less than 350 | |||
7002 | 350 to less than 400 | |||
7003 | 400 to less than 600 | |||
7004 | 600 to less than 800 | |||
7005 | 800 to less than 1000 | |||
7006 | 1000 to less than 3000 | |||
7007 | 3000 and over | |||
@ | Not applicable | |||
@@ | Not applicable | |||
@@@ | Not applicable | |||
@@@@ | Not applicable |
Number of categories:
- One digit: 8
- Two digit: 12
- Three digit: 18
- Four digit: 79
The nil distance category comprises:
- Persons whose mesh block of PURP and mesh block of POWP were the same and stated they:
- 'Worked from home'
- 'Did not go to work'
- 'Mode not stated’
- Persons with the same mesh block of PURP and mesh block of POWP where the centre points were not weighted to different locations
The Not applicable (@) category comprises:
- Persons who were unemployed, not in the labour force, or whose labour force status was not stated
- Persons under 15 years of age
- Overseas visitors
- Persons who were coded to Special purpose codes
Question(s) from the Census form
Where does the person usually live?
More Information
For the main job held last week, what was the person’s workplace address?
More information
How this variable is created
This variable is created using a combination of existing statistical and geospatial data to make new calculations. It is calculated using the shortest path of a road network, from the respondent’s place of usual residence mesh block (PURP), to that of their workplace (POWP), using geospatial software. It is assumed in the calculation of this data that a person has followed the shortest path with no stops when commuting to work.
Where the shortest path is not possible, a straight-line distance between a person’s Usual residence and Place of work mesh blocks is calculated. A straight-line distance is likely to underrepresent the true distance of a commuting route, so a correction factor is incorporated by multiplying the straight-line distance by 1.3. This value was selected based on ABS analysis on the difference between road network and straight-line distance, and the value also aligned closely with similar studies. The source of road network data was Navteq November 2021 (produced by HERE Technology) to ensure a representative network with updates as close to Census Night as possible.
History and changes
This variable was first introduced in 2016.
No changes have been made in 2021.
Data use considerations
Mesh blocks are the smallest geographical area defined by the Australian Bureau of Statistics (ABS) and form the building blocks for the larger regions within the Australian Statistical Geography Standard (ASGS).
The distance to work data should be considered an estimate as it is a measurement between the centre point (or centroid) of the mesh block of PURP and mesh block of POWP. The location of the centroid in the mesh block was weighted based on the location of residential and commercial addresses respectively.
For some people, a small distance is calculated where the centre points for mesh block of PURP and mesh block of POWP are weighted to different locations. This is the case for people who lived and worked in the same mesh block and their Method of travel to work (MTWP) was not recorded as:
- Worked from home
- Did not go to work
- Mode not stated
Conversely, some people who lived and worked in different mesh blocks have a distance to work of 0 kilometres due to the way in which the centroids have been snapped to a road.
This variable does not have a non-response rate as it is created by using responses from more than one question on the Census form.
Lockdown
A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people working from their homes. Not only may this impact their responses for their place of work, but also, their travel to work. Guidance on how to correctly respond was provided at the time on the Census website, as follows:
Answering questions about your workplace and job role
If you are currently working from home due to COVID restrictions, but usually attend a workplace, please write the employer's usual workplace address.
Answering questions about whether you had a job
If you were employed in the 4 weeks prior to the current lockdown period, but haven't been able to work in the last week due to lockdown or requirement to self-isolate, please select 'Yes, but absent on holidays, on paid leave, on strike or temporarily stood down'.
Answering questions about your workplace and job role
If you were employed in the 4 weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and information about your employer (such as industry and number of employees).
Imputed distance to work (IFDTWP)
Definition
This variable indicates whether a person's distance to work was calculated using a straight-line or road network distance. A straight-line distance is only used where the data is not available to calculate based on a road network (for example, there was a break in the underlying road network data as a person travelled between an island and the Australian mainland), or the straight-line distance of the commute is greater than 250 kilometres.
Scope
Persons aged 15 years and over who stated their labour force status as ‘employed’
Categories
Code | Category |
---|---|
1 | Distance to work calculated with a straight-line distance |
2 | Distance to work calculated with a road network distance |
3 | Did not commute |
@ | Not applicable |
Number of categories: 4
Did not commute (3) category comprises of persons whose mesh block of PURP and mesh block of POWP were the same and stated they:
- 'Worked from home'
- 'Did not go to work'
- 'Mode not stated’
Not applicable (@) category comprises:
- Persons who were unemployed, not in the labour force, or whose labour force status was not stated
- Persons under 15 years of age
- Overseas visitors
- Persons who were coded to Special purpose codes.
Question(s) from the Census form
Where does the person usually live?
More information
For the main job held last week, what was the person’s workplace address?
More information
How this variable is created
The variable is created when the data for Distance to work (ranges) (DTWP) variable is processed. A code is assigned to the record depending on which method was used to derive distance to work. A straight-line distance is only used where the data is not available to calculate based on a road network, or the straight-line distance of the commute is greater than 250 kilometres.
A straight-line distance is likely to underrepresent the true distance of a commuting route, so a correction factor is incorporated by multiplying the straight-line distance by 1.3. This value was selected based on ABS analysis on the difference between road network and straight-line distance, and the value also aligned closely with similar studies. The source of road network data was Navteq November 2021 (produced by HERE Technology) to ensure a representative network with updates as close to Census Night as possible.
History and changes
This variable was first introduced in 2016.
In 2021 category 3 'Did not commute' was added. In 2016 persons who did not commute were coded under category 1 and 2.
Data use considerations
This variable does not have a non-response rate as it is created by using responses from more than one question on the Census form.
Lockdown
A number of regions across the country were in various stages of lockdown on Census Night, and the week preceding it, resulting in a greater number of people working from their homes. Not only may this impact their responses for their place of work, but also, their travel to work. Guidance on how to correctly respond was provided at the time on the Census website, as follows:
Answering questions about your workplace and job role
If you are currently working from home due to COVID-19 restrictions, but usually attend a workplace, please write the employer's usual workplace address.
Answering questions about whether you had a job
If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to lockdown or requirement to self-isolate, please select 'Yes, but absent on holidays, on paid leave, on strike or temporarily stood down'.
Answering questions about your workplace and job role
If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID-19 restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and information about your employer (such as industry and number of employees).
Method of travel to work (6 travel modes) (MTW06P)
Scope
Persons aged 15 years or over who have labour force status of ‘employed’
Categories
Code | Category |
---|---|
1 | Public transport |
2 | Vehicle |
3 | Active transport |
4 | Other mode |
5 | Worked at home or did not go to work |
6 | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 8
Not applicable (@) comprises:
- Unemployed persons looking for either part-time or full-time work
- Persons not in the labour force
- Persons with Labour force status (LFSP) not stated
- Persons aged under 15 years
- Overseas visitors
See Understanding supplementary codes for more information.
Question(s) from the Census form
How did the person get to work on Tuesday 10 August 2021?
Example
More information
How this variable is created
This variable is derived from the Census variable MTWP which records the method used to travel to work on the day of the Census. The MTWP classification has been sourced from the Bureau of Infrastructure and Transport Research Economics.
Method of travel to work (6 travel modes) can also be aggregated from the 15 travel modes as follows:
MTW15P | MTW15P Description | MTW06P | MTW06P Description |
---|---|---|---|
01 | Train | 1 | Public transport |
02 | Bus | 1 | Public transport |
03 | Ferry | 1 | Public transport |
04 | Tram/light rail | 1 | Public transport |
05 | Taxi/ride-share service | 1 | Public transport |
06 | Car as driver | 2 | Vehicle |
07 | Car as passenger | 2 | Vehicle |
08 | Truck | 2 | Vehicle |
09 | Motorbike/scooter | 2 | Vehicle |
10 | Bicycle | 3 | Active transport |
11 | Other mode | 4 | Other mode |
12 | Walked only | 3 | Active transport |
13 | Worked at home | 5 | Worked at home or did not go to work |
14 | Did not go to work | 5 | Worked at home or did not go to work |
15 | Not stated | 6 | Mode not stated |
@@ | Not applicable | @ | Not applicable |
VV | Overseas visitor | V | Overseas visitor |
History and changes
This variable was first introduced in 2016.
No changes have been made in 2021.
Data use considerations
This variable is derived from the Method of travel to work (MTWP) variable. Unlike most Census variables, the non-response rate for Method of travel to work (MTWP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond or have a labour force status of 'not stated' are not applicable to Method of Travel to Work.
The non-response rate for Method of travel to work (MTWP) was 0.5% in 2021. This is a decrease from 1.0% in 2016.
Usual method of travel to work
When using this data with Place of work (POWP) data, users should be aware that POWP refers to the main job last week, while MTWP refers to Census day. This may explain why, for a small proportion of records, MTWP data may appear inconsistent with POWP or PURP information.
For example, a person may have been working in the centre of Perth on 10 August 2021 and have travelled there by train, however in the week before the Census, they may have been working in an outer suburb of Perth and travelled there by car. In this case, the person would have their MTWP as 'Train' on the Census form, whilst their usual travel pattern would be by car.
Other scenario examples:
- If a person who had a job became unemployed, retired or on leave on 10 August 2021, their method of travel to work would not reflect their usual travel pattern.
- If a person who was unemployed but gained employment in the week before Census, their method of travel to work would not be captured. The sequencing of questions is based on labour force status in the week before Census.
-
If a person rides a bicycle a couple days per week, but ‘usually’ catches the bus, the Method of travel to work focuses on the activity specific to Census day, to capture the minor mode of travel i.e. bicycle.
Walked only
If a person walked some of the way to work and used other methods, it is not included as an additional method. For example, if they walked then caught the bus, then ‘Bus’ only should be selected. Only if the person walked all the way to work, should ‘Walked only’ be selected.
Lockdown
A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people working from their homes. Not only may this impact their responses for their place of work, but also, their travel to work. Guidance on how to correctly respond was provided at the time on the Census website, as follows:
Answering questions about your workplace and job role
If you are currently working from home due to COVID-19 restrictions, but usually attend a workplace, please write the employer's usual workplace address.
Answering questions about whether you had a job
If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to lockdown or requirement to self-isolate, please select 'Yes, but absent on holidays, on paid leave, on strike or temporarily stood down'.
Answering questions about your workplace and job role
If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID-19 restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and information about your employer (such as industry and number of employees).
Method of travel to work (15 travel modes) (MTW15P)
Scope
Persons aged 15 years or over who stated their labour force status as ‘employed’
Categories
Code | Category |
---|---|
01 | Train |
02 | Bus |
03 | Ferry |
04 | Tram/light rail |
05 | Taxi/ride-share service |
06 | Car, as driver |
07 | Car, as passenger |
08 | Truck |
09 | Motorbike/scooter |
10 | Bicycle |
11 | Other mode |
12 | Walked only |
13 | Worked at home |
14 | Did not go to work |
15 | Not stated |
@@ | Not applicable |
VV | Overseas visitor |
Number of categories: 17
Not applicable (@@) comprises:
- Unemployed persons looking for either part-time or full-time work
- Persons not in the labour force
- Persons with Labour force status (LFSP) not stated
Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
How did the person get to work on Tuesday 10 August 2021?
Example
More information
How this variable is created
These variables are derived from the Census variable MTWP which records the method used to travel to work on the day of the Census. The MTWP classification has been sourced from the Bureau of Infrastructure, Transport and Research Economics.
The table in MTW06P shows how categories are aggregated to create Method of travel to work (15 travel modes).
History and changes
This variable was first introduced in 2016.
Minor updates to the category labels have been made to align with MTWP.
Data use considerations
Mode 15 reflects the ‘main mode’ used in that journey from home to workplace. Where multiple methods of work are used, a priority hierarchy is used to make assumptions for the ‘main mode’. The priority hierarchy for mode 15 is:
- Train
- Bus
- Ferry
- Tram/light rail
- Taxi/ride-share service
- Vehicle driver
- Vehicle passenger
- Truck
- Motorbike or motor scooter
- Bicycle
- Walked only
- Other mode (not elsewhere specified)
For example, if a person selected, ‘Train’ and ‘Bus’, their mode of transport would be coded to ‘1 Train’ for Mode of travel to work (15 modes), even if ‘bus’ made the majority of the trip, due to the higher ranking of ‘train’ in the priority list.
This variable is derived from the Method of travel to work (MTWP) variable. Unlike most Census variables, the non-response rate for Method of travel to work (MTWP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond or have a labour force status of 'not stated' are not applicable to Method of Travel to Work.
The non-response rate for Method of travel to work (MTWP) was 0.5% in 2021. This is a decrease from 1.0% in 2016.
Usual method of travel to work
When using this data with Place of work (POWP) data, users should be aware that POWP refers to the main job last week, while MTWP refers to Census day. This may explain why, for a small proportion of records, MTWP data may appear inconsistent with POWP or Place of usual residence (PURP) information.
For example, a person may have been working in the centre of Perth on 10 August 2021 and have travelled there by train, however in the week before the Census, they may have been working in an outer suburb of Perth and travelled there by car. In this case, the person would have their MTWP as train on the Census form, whilst their usual travel pattern would be by car.
Other scenario examples:
- If a person who had a job became unemployed, retired or on leave on 10 August 2021, their MTWP would not reflect their usual travel pattern.
- If a person who was unemployed but gained employment in the week before Census, their MTWP would not be captured. The sequencing of questions is based on labour force status in the week before Census.
- If a person rides a bicycle a couple days per week, but ‘usually’ catches the bus, the MTWP focuses on the activity specific to Census day, to capture the minor mode of travel i.e. bicycle.
Walked only
If a person walked some of the way to work and used other methods, it is not included as an additional method. For example, if they walked then caught the bus, then ‘Bus’ only should be selected. Only if the person walked all the way to work, should ‘Walked only’ be selected.
Lockdown
A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people working from their homes. Not only may this impact their responses for their place of work, but also, their travel to work. Guidance on how to correctly respond was provided at the time on the Census website, as follows:
Answering questions about your workplace and job role
If you are currently working from home due to COVID-19 restrictions, but usually attend a workplace, please write the employer's usual workplace address.
Answering questions about whether you had a job
If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to lockdown or requirement to self-isolate, please select 'Yes, but absent on holidays, on paid leave, on strike or temporarily stood down'.
Answering questions about your workplace and job role
If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID-19 restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and information about your employer (such as industry and number of employees).
Method of travel to work (MTWP)
Definition
This variable records up to three methods, or means, of travel to work on the day of the Census, for each person aged 15 years and over who was employed during the week before the Census. The question allows for multiple responses across all categories except walked only, worked at home, and did not go to work.
Scope
Persons aged 15 years and over employed during the week before the Census
Categories
1 Public Transport | |||
01 Train | |||
001 | Train | ||
012 | Train, bus | ||
013 | Train, ferry | ||
014 | Train, tram/light rail | ||
015 | Train, taxi/ride-share service | ||
016 | Train, car as driver | ||
017 | Train, car as passenger | ||
018 | Train, truck | ||
019 | Train, motorbike/scooter | ||
020 | Train, bicycle | ||
021 | Train, other | ||
067 | Train, bus, ferry | ||
068 | Train, bus, tram/light rail | ||
069 | Train, bus, taxi/ride-share service | ||
070 | Train, bus, car as driver | ||
071 | Train, bus, car as passenger | ||
072 | Train, bus, truck | ||
073 | Train, bus, motorbike/scooter | ||
074 | Train, bus, bicycle | ||
075 | Train, bus, other | ||
076 | Train, ferry, tram/light rail | ||
077 | Train, ferry, taxi/ride-share service | ||
078 | Train, ferry, car as driver | ||
079 | Train, ferry, car as passenger | ||
080 | Train, ferry, truck | ||
081 | Train, ferry, motorbike/scooter | ||
082 | Train, ferry, bicycle | ||
083 | Train, ferry, other | ||
084 | Train, tram/light rail, taxi/ride-share service | ||
085 | Train, tram/light rail, car as driver | ||
086 | Train, tram/light rail, car as passenger | ||
087 | Train, tram/light rail, truck | ||
088 | Train, tram/light rail, motorbike/scooter | ||
089 | Train, tram/light rail, bicycle | ||
090 | Train, tram/light rail, other | ||
091 | Train, taxi/ride-share service, car as driver | ||
092 | Train, taxi/ride-share service, car as passenger | ||
093 | Train, taxi/ride-share service, truck | ||
094 | Train, taxi/ride-share service, motorbike/scooter | ||
095 | Train, taxi/ride-share service, bicycle | ||
096 | Train, taxi/ride-share service, other | ||
097 | Train, car as driver, car as passenger | ||
098 | Train, car as driver, truck | ||
099 | Train, car as driver, motorbike/scooter | ||
100 | Train, car as driver, bicycle | ||
101 | Train, car as driver, other | ||
102 | Train, car as passenger, truck | ||
103 | Train, car as passenger, motorbike/scooter | ||
104 | Train, car as passenger, bicycle | ||
105 | Train, car as passenger, other | ||
106 | Train, truck, motorbike/scooter | ||
107 | Train, truck, bicycle | ||
108 | Train, truck, other | ||
109 | Train, motorbike/scooter, bicycle | ||
110 | Train, motorbike/scooter, other | ||
111 | Train, bicycle, other | ||
02 Bus | |||
002 | Bus | ||
022 | Bus, ferry | ||
023 | Bus, tram/light rail | ||
024 | Bus, taxi/ride-share service | ||
025 | Bus, car as driver | ||
026 | Bus, car as passenger | ||
027 | Bus, truck | ||
028 | Bus, motorbike/scooter | ||
029 | Bus, bicycle | ||
030 | Bus, other | ||
112 | Bus, ferry, tram/light rail | ||
113 | Bus, ferry, taxi/ride-share service | ||
114 | Bus, ferry, car as driver | ||
115 | Bus, ferry, car as passenger | ||
116 | Bus, ferry, truck | ||
117 | Bus, ferry, motorbike/scooter | ||
118 | Bus, ferry, bicycle | ||
119 | Bus, ferry, other | ||
120 | Bus, tram/light rail, taxi/ride-share service | ||
121 | Bus, tram/light rail, car as driver | ||
122 | Bus, tram/light rail, car as passenger | ||
123 | Bus, tram/light rail, truck | ||
124 | Bus, tram/light rail, motorbike/scooter | ||
125 | Bus, tram/light rail, bicycle | ||
126 | Bus, tram/light rail, other | ||
127 | Bus, taxi/ride-share service, car as driver | ||
128 | Bus, taxi/ride-share service, car as passenger | ||
129 | Bus, taxi/ride-share service, truck | ||
130 | Bus, taxi/ride-share service, motorbike/scooter | ||
131 | Bus, taxi/ride-share service, bicycle | ||
132 | Bus, taxi/ride-share service, other | ||
133 | Bus, car as driver, car as passenger | ||
134 | Bus, car as driver, truck | ||
135 | Bus, car as driver, motorbike/scooter | ||
136 | Bus, car as driver, bicycle | ||
137 | Bus, car as driver, other | ||
138 | Bus, car as passenger, truck | ||
139 | Bus, car as passenger, motorbike/scooter | ||
140 | Bus, car as passenger, bicycle | ||
141 | Bus, car as passenger, other | ||
142 | Bus, truck, motorbike/scooter | ||
143 | Bus, truck, bicycle | ||
144 | Bus, truck, other | ||
145 | Bus, motorbike/scooter, bicycle | ||
146 | Bus, motorbike/scooter, other | ||
147 | Bus, bicycle, other | ||
03 Ferry | |||
003 | Ferry | ||
031 | Ferry, tram/light rail | ||
032 | Ferry, taxi/ride-share service | ||
033 | Ferry, car as driver | ||
034 | Ferry, car as passenger | ||
035 | Ferry, truck | ||
036 | Ferry, motorbike/scooter | ||
037 | Ferry, bicycle | ||
038 | Ferry, other | ||
148 | Ferry, tram/light rail, taxi/ride-share service | ||
149 | Ferry, tram/light rail, car as driver | ||
150 | Ferry, tram/light rail, car as passenger | ||
151 | Ferry, tram/light rail, truck | ||
152 | Ferry, tram/light rail, motorbike/scooter | ||
153 | Ferry, tram/light rail, bicycle | ||
154 | Ferry, tram/light rail, other | ||
155 | Ferry, taxi/ride-share service, car as driver | ||
156 | Ferry, taxi/ride-share service, car as passenger | ||
157 | Ferry, taxi/ride-share service, truck | ||
158 | Ferry, taxi/ride-share service, motorbike/scooter | ||
159 | Ferry, taxi/ride-share service, bicycle | ||
160 | Ferry, taxi/ride-share service, other | ||
161 | Ferry, car as driver, car as passenger | ||
162 | Ferry, car as driver, truck | ||
163 | Ferry, car as driver, motorbike/scooter | ||
164 | Ferry, car as driver, bicycle | ||
165 | Ferry, car as driver, other | ||
166 | Ferry, car as passenger, truck | ||
167 | Ferry, car as passenger, motorbike/scooter | ||
168 | Ferry, car as passenger, bicycle | ||
169 | Ferry, car as passenger, other | ||
170 | Ferry, truck, motorbike/scooter | ||
171 | Ferry, truck, bicycle | ||
172 | Ferry, truck, other | ||
173 | Ferry, motorbike/scooter, bicycle | ||
174 | Ferry, motorbike/scooter, other | ||
175 | Ferry, bicycle, other | ||
04 Tram/light rail | |||
004 | Tram/light rail | ||
039 | Tram/light rail, taxi/ride-share service | ||
040 | Tram/light rail, car as driver | ||
041 | Tram/light rail, car as passenger | ||
042 | Tram/light rail, truck | ||
043 | Tram/light rail, motorbike/scooter | ||
044 | Tram/light rail, bicycle | ||
045 | Tram/light rail, other | ||
176 | Tram/light rail, taxi/ride-share service, car as driver | ||
177 | Tram/light rail, taxi/ride-share service, car as passenger | ||
178 | Tram/light rail, taxi/ride-share service, truck | ||
179 | Tram/light rail, taxi/ride-share service, motorbike/scooter | ||
180 | Tram/light rail, taxi/ride-share service, bicycle | ||
181 | Tram/light rail, taxi/ride-share service, other | ||
182 | Tram/light rail, car as driver, car as passenger | ||
183 | Tram/light rail, car as driver, truck | ||
184 | Tram/light rail, car as driver, motorbike/scooter | ||
185 | Tram/light rail, car as driver, bicycle | ||
186 | Tram/light rail, car as driver, other | ||
187 | Tram/light rail, car as passenger, truck | ||
188 | Tram/light rail, car as passenger, motorbike/scooter | ||
189 | Tram/light rail, car as passenger, bicycle | ||
190 | Tram/light rail, car as passenger, other | ||
191 | Tram/light rail, truck, motorbike/scooter | ||
192 | Tram/light rail, truck, bicycle | ||
193 | Tram/light rail, truck, other | ||
194 | Tram/light rail, motorbike/scooter, bicycle | ||
195 | Tram/light rail, motorbike/scooter, other | ||
196 | Tram/light rail, bicycle, other | ||
05 Taxi/ride-share service | |||
005 | Taxi/ride-share service | ||
046 | Taxi/ride-share service, car as driver | ||
047 | Taxi/ride-share service, car as passenger | ||
048 | Taxi/ride-share service, truck | ||
049 | Taxi/ride-share service, motorbike/scooter | ||
050 | Taxi/ride-share service, bicycle | ||
051 | Taxi/ride-share service, other | ||
197 | Taxi/ride-share service, car as driver, car as passenger | ||
198 | Taxi/ride-share service, car as driver, truck | ||
199 | Taxi/ride-share service, car as driver, motorbike/scooter | ||
200 | Taxi/ride-share service, car as driver, bicycle | ||
201 | Taxi/ride-share service, car as driver, other | ||
202 | Taxi/ride-share service, car as passenger, truck | ||
203 | Taxi/ride-share service, car as passenger, motorbike/scooter | ||
204 | Taxi/ride-share service, car as passenger, bicycle | ||
205 | Taxi/ride-share service, car as passenger, other | ||
206 | Taxi/ride-share service, truck, motorbike/scooter | ||
207 | Taxi/ride-share service, truck, bicycle | ||
208 | Taxi/ride-share service, truck, other | ||
209 | Taxi/ride-share service, motorbike/scooter, bicycle | ||
210 | Taxi/ride-share service, motorbike/scooter, other | ||
211 | Taxi/ride-share service, bicycle, other | ||
2 Vehicle | |||
06 Car, as driver | |||
006 | Car, as driver | ||
052 | Car as driver, car as passenger | ||
053 | Car as driver, truck | ||
054 | Car as driver, motorbike/scooter | ||
055 | Car as driver, bicycle | ||
056 | Car as driver, other | ||
212 | Car as driver, car as passenger, truck | ||
213 | Car as driver, car as passenger, motorbike/scooter | ||
214 | Car as driver, car as passenger, bicycle | ||
215 | Car as driver, car as passenger, other | ||
216 | Car as driver, truck, motorbike/scooter | ||
217 | Car as driver, truck, bicycle | ||
218 | Car as driver, truck, other | ||
219 | Car as driver, motorbike/scooter, bicycle | ||
220 | Car as driver, motorbike/scooter, other | ||
221 | Car as driver, bicycle, other | ||
07 Car, as passenger | |||
007 | Car, as passenger | ||
057 | Car as passenger, truck | ||
058 | Car as passenger, motorbike/scooter | ||
059 | Car as passenger, bicycle | ||
060 | Car as passenger, other | ||
222 | Car as passenger, truck, motorbike/scooter | ||
223 | Car as passenger, truck, bicycle | ||
224 | Car as passenger, truck, other | ||
225 | Car as passenger, motorbike/scooter, bicycle | ||
226 | Car as passenger, motorbike/scooter, other | ||
227 | Car as passenger, bicycle, other | ||
08 Truck | |||
008 | Truck | ||
061 | Truck, motorbike/scooter | ||
062 | Truck, bicycle | ||
063 | Truck, other | ||
228 | Truck, motorbike/scooter, bicycle | ||
229 | Truck, motorbike/scooter, other | ||
230 | Truck, bicycle, other | ||
09 Motorbike/scooter | |||
009 | Motorbike/scooter | ||
064 | Motorbike/scooter, bicycle | ||
065 | Motorbike/scooter, other | ||
231 | Motorbike/scooter, bicycle, other | ||
3 Active Transport | |||
10 Bicycle | |||
010 | Bicycle | ||
066 | Bicycle, other | ||
11 Walked only | |||
232 | Walked only | ||
4 Other Mode | |||
12 Other Mode | |||
011 | Other | ||
5 Worked at home or Did not go to work | |||
13 Worked at home | |||
233 | Worked at home | ||
14 Did not go to work | |||
234 | Did not go to work | ||
6 Mode not stated | |||
15 Not stated | |||
&&& | Not stated | ||
@ Not applicable | |||
@@ Not applicable | |||
@@@ | Not applicable | ||
V Overseas visitor | |||
VV Overseas visitor | |||
VVV | Overseas visitor |
Number of categories: 237
Not applicable (@@@) category comprises:
- Unemployed persons looking for either part-time or full-time work
- Persons not in the labour force
- Persons with Labour force status (LFSP) not stated
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
How did the person get to work on Tuesday 10 August 2021?
Example
More Information
How this variable is created
The responses to this question are captured automatically from mark box responses on the Census form. Respondents were able to select more than one response with up to three methods recorded. Where more than three methods were used, responses were accepted in the order they appeared on the form and the extra responses were rejected.
In cases where the combination of responses contained 'Did not go to work', 'Worked at home' or 'Walked only', then these unique responses override any others. If more than one of these unique responses is in the same combination, then a single response is selected in the order they appear.
History and changes
The question relating to Method of travel to work (MTWP) was first asked in the 1976 Census. Similar questions have been asked in every Census since then.
In 2021 changes were made to the Census question for two categories:
- 'Taxi' has been changed to 'Taxi/ride-share service'
- 'Tram' has been changed to 'Tram/light rail'
Data use considerations
This variable is used with Place of usual residence (PURP) and Place of work (POWP) address to construct 'journey to work' data for transport planning.
Unlike most Census variables, the non-response rate for Method of travel to work (MTWP) is not affected by persons who did not return a Census form because this variable is only applicable to persons with a labour force status of 'employed'. Persons who do not respond or have a labour force status of 'not stated' are not applicable to Method of travel to work.
The non-response rate for Method of travel to work (MTWP) was 0.5% in 2021. This is a decrease from 1.0% in 2016.
Usual method of travel to work
When using this data with POWP data, users should be aware that POWP refers to the main job last week, while MTWP refers to Census day. This may explain why, for a small proportion of records, MTWP data may appear inconsistent with POWP or PURP information.
For example, a person may have been working in the centre of Perth on 10 August 2021 and have travelled there by train, however in the week before the Census, they may have been working in an outer suburb of Perth and travelled there by car. In this case, the person would have their MTWP as 'Train' on the Census form, whilst their usual travel pattern would be by car.
Other scenario examples:
- If a person who had a job became unemployed, retired or on leave on 10 August 2021, their method of travel to work would not reflect their usual travel pattern.
- If a person who was unemployed but gained employment in the week before Census, their method of travel to work would not be captured. The sequencing of questions is based on labour force status in the week before Census.
- If a person rides a bicycle a couple days per week, but ‘usually’ catches the bus, the Method of travel to work focuses on the activity specific to Census day, to capture the minor mode of travel i.e. bicycle.
Walked only
If a person walked some of the way to work and used other methods, it is not included as an additional method. For example, if they walked then caught the bus, then ‘Bus’ only should be selected. Only if the person walked all the way to work, should ‘Walked only’ be selected.
Lockdown
A number of regions across the country were in various stages of lockdown on Census day, and the week preceding it, resulting in a greater number of people working from their homes. Not only may this impact their responses for their place of work, but also, their travel to work. Guidance on how to correctly respond was provided at the time on the Census website, as follows:
Answering questions about your workplace and job role
If you are currently working from home due to COVID-19 restrictions, but usually attend a workplace, please write the employer's usual workplace address.
Answering questions about whether you had a job
If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to lockdown or requirement to self-isolate, please select 'Yes, but absent on holidays, on paid leave, on strike or temporarily stood down'.
Answering questions about your workplace and job role
If you were employed in the four weeks prior to the current lockdown period, but haven't been able to work in the last week due to COVID-19 restrictions or requirement to self-isolate, please answer all questions reflecting your usual occupation. This includes your role (such as occupation and tasks performed) and information about your employer (such as industry and number of employees).
Related variables and glossary terms
- Number of motor vehicles (VEHD)
- Place of work (POWP)
- Place of usual residence (PURP)
- Labour force status (LFSP)
- Derivation
- Imputation
Number of motor vehicles (VEHD)
Definition
This variable records the number of registered motor vehicles owned or used by household members that were garaged or parked at or near private dwellings on Census Night. It includes vans and company-owned vehicles and excludes motorbikes, scooters and heavy motor vehicles.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
00 | No motor vehicles |
01-29 | 1-29 motor vehicles singly |
30 | 30 or more motor vehicles |
&& | Not stated |
@@ | Not applicable |
Number of categories: 33
Not applicable (@@) comprises:
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1
Question(s) from the Census form
How many registered motor vehicles owned or used by residents of this dwelling were garaged or parked at or near this dwelling on the night of Tuesday 10 August 2021?
More information
How this variable is created
Number of motor vehicles is a dwelling variable created from the number of motor vehicles owned or used question. Data for this variable is captured automatically from a written numeric response or by marking the 'None' mark box on the paper form.
This variable includes single fields for values from 0 to 29. Values of 30 or more are grouped together. The related variable Number of motor vehicles (ranges) (VEHRD) groups responses to this question differently, with responses for 1 to 3 motor vehicles available singly, and responses of 4 or more motor vehicles coded into the grouped category of 'Four or more motor vehicles'.
History and changes
This variable was first introduced in 1966. The question has remained in all subsequent censuses.
In 2001 this question also asked for the number of motorbikes and motor scooters. In 2006, asking for motorbikes and motor scooters was removed because of their lesser impact on the transport system.
In 2021, additional instructional text was added to exclude heavy motor vehicles. This was done to better clarify the existing definition of a motor vehicle.
Data use considerations
Governments and councils use information from this question to plan transport infrastructure and services. Motorbikes and motor scooters are excluded from this question because of their lesser impact on the transport system. The question also excludes heavy motor vehicles (over 4.5t GVM). Tractors, boats and caravans are also not included.
The data may include a small proportion of dwellings with unusually large numbers of vehicles, as all numeric responses are accepted as reported.
The non-response rate for Number of motor vehicles (VEHD) was 5.4% in 2021. This is a decrease from 8.4% in 2016.
Useful links
Number of motor vehicles (ranges) (VEHRD)
Definition
This variable records the number in ranges of registered motor vehicles owned or used by household members that were garaged or parked at or near private dwellings on Census Night. It includes vans and company owned vehicles and excludes motorbikes, scooters and heavy motor vehicles.
Scope
Occupied private dwellings
Categories
Code | Category |
---|---|
0 | No motor vehicles |
1 | One motor vehicle |
2 | Two motor vehicles |
3 | Three motor vehicles |
4 | Four or more motor vehicles |
& | Not stated |
@ | Not applicable |
Number of categories: 7
Not applicable (@) comprises:
- Unoccupied private dwellings
- Non-private dwellings
- Migratory, off-shore and shipping SA1
Question(s) from the Census form
How many registered motor vehicles owned or used by residents of this dwelling were garaged or parked at or near this dwelling on the night of Tuesday 10 August 2021?
More Information
How this variable is created
Number of motor vehicles (ranges) is a dwelling variable created from the number of motor vehicles owned or used question. Data for this variable is captured automatically from a written numeric response or by marking the 'None' mark box on the paper form.
This variable groups responses to this question, with 1 to 3 motor vehicles available singly, then responses of 4 or more motor vehicles coded into the grouped category of 'Four or more motor vehicles'. The related variable Number of motor vehicles (VEHD) groups these responses differently, with single fields for values from 0 to 29, and values of 30 or more grouped together.
History and changes
This variable was first introduced in 1966. The question has remained in all subsequent Censuses.
In 2001 this question also asked for the number of motorbikes and motor scooters. In 2006, asking for motorbikes and motor scooters was removed because of their lesser impact on the transport system.
In 2021, additional instructional text was added to exclude heavy motor vehicles. This was done to better clarify the existing definition of a motor vehicle.
Data use considerations
Governments and councils use information from this question to plan transport infrastructure and services. Motorbikes and motor scooters are excluded from this question because of their lesser impact on the transport system. The question also excludes heavy motor vehicles (over 4.5t GVM). Tractors, boats and caravans are also not included.
The data may include a small proportion of dwellings with unusually large numbers of vehicles, as all numeric responses are accepted as reported.
This variable is derived from Number of motor vehicles (VEHD). The non-response rate for Number of motor vehicles (VEHD) was 5.4% in 2021. This is a decrease from 8.4% in 2016.
Useful links
Unpaid work and care
Unpaid child care (CHCAREP)
Definition
This variable records people who, in the two weeks prior to Census Night, spent time caring for a child or children aged under 15 years without pay. It excludes care for a child given through an organisation or club. It includes people:
- caring for their own children, whether they usually live with them or not
- looking after other children in a family, such as grandchildren or children of relatives
- looking after children of friends or neighbours.
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Did not provide child care |
2 | Cared for own child/children |
3 | Cared for other child/children |
4 | Cared for own child/children and other child/children |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 7
Not applicable (@) category comprises:
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
In the last two weeks did the person spend time looking after a child, without pay?
More information
How this variable is created
This variable is created from responses to the unpaid care question on the Census form. There is minimal risk to the errors in data processing as the answers are captured automatically from the mark box responses. If multiple responses are recorded, the ‘Yes’ responses are retained and the ‘No’ response is rejected.
History and changes
The question on unpaid care for children was first asked in 2006.
No changes have been made for 2021.
Data use considerations
Comparison with other surveys
Care should be taken when comparing Census data on unpaid child care with information from other surveys and publications. Definitions can differ between different statistical collections and may not match Census definitions.
Age and Unpaid child care data
When analysing Unpaid child care data, users may notice older respondents who reported they cared for their own child. A small number of this group had their ages imputed, either due to the lack of respondent information or to conform to family processing rules. Imputation rules do not reference unpaid child care as a factor, so there is no statistical correlation between the fields Age and Unpaid child care for this group. The remainder reported their date of birth and/or age last birthday, and the output Age remains as reported.
The following scenarios are possible for this data:
- Both variables are correct (for example an older parent looking after their child)
- Age is correct and the Unpaid child care response is wrong. Respondents may have misunderstood the child care question e.g. considered grandchildren, other children in the extended family to be their 'own children' or did not realise that the question referred to only children who were less than 15 years of age, or mistakenly included children (15 years and over) with a disability
- Age is incorrect and Unpaid child care is correct
- Neither variable is correct
The non-response rate for Unpaid child care (CHCAREP) was 6.4% in 2021. This is a decrease from 8.3% in 2016.
Unpaid domestic work: number of hours (DOMP)
Definition
This variable records the number of hours people spent in the previous week doing domestic work without pay. Domestic work is work for the individual or household, whether in the household or in other places. Unpaid domestic work can include:
- meal preparation, service and clean-up
- washing, ironing and managing clothes
- any other housework
- gardening, mowing and yard work
- home maintenance
- car/bike maintenance
- household shopping and managing household financial affairs
- maintaining home internet connections and computer systems.
Any domestic work done as part of paid employment is excluded. Data from this variable will help provide an understanding of the way individuals and families balance paid work with other important aspects of their lives. For example, family and community commitments.
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Nil hours |
2 | Less than 5 hours |
3 | 5 to 14 hours |
4 | 15 to 29 hours |
5 | 30 hours or more |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 8
Not applicable (@) category comprises:
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
In the last week did the person spend time doing unpaid domestic work for their household?
More information
How this variable is created
The variable is recorded directly from the unpaid domestic work question on the Census form. The responses to this question are captured automatically from mark box responses so the risk of errors during data processing are minimal. Where more than one response is marked, the 'Yes' response with the highest number of hours is accepted. This is accepted over any other responses, including any 'No' response.
History and changes
The question on unpaid domestic work was first asked in 2006.
No changes have been made for 2021.
Data use considerations
There are no data use considerations for this variable.
The non-response rate for Unpaid domestic work: number of hours (DOMP) was 6.6% in 2021. This is a decrease from 8.8% in 2016.
Useful links
Voluntary work for an organisation or group (VOLWP)
Definition
This variable records people who spent time doing unpaid voluntary work for an organisation or group in the twelve months prior to Census Night.
Unpaid voluntary work can include:
- assisting at organised events and with sports organisations
- helping with organised school events and activities
- assisting in churches, hospitals, nursing homes and charities
- other kinds of volunteer work (e.g. emergency services, serving on a committee for a club, etc.).
Organisations or groups can include:
- sporting teams
- youth groups
- schools
- religious organisations.
Unpaid voluntary work for an organisation or group excludes work done:
- as part of paid employment
- in a family business
- to qualify for a government benefit
- to obtain an educational qualification
- due to a community or court order.
Scope
Persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Not a volunteer |
2 | Volunteer |
& | Not stated |
@ | Not applicable |
V | Overseas visitor |
Number of categories: 5
Not applicable (@) category comprises:
- Persons aged under 15 years
See Understanding supplementary codes for more information.
Question(s) from the Census form
In the last twelve months did the person spend any time doing unpaid voluntary work for an organisation or group?
More information
How this variable is created
The variable is recorded directly from the voluntary work question on the Census form. The responses to this question are recorded automatically from mark box responses, so the risk of errors during data processing are minimal. If both responses are recorded, the ‘Yes’ is accepted. The ‘No’ response will be rejected.
History and changes
The question on voluntary work for an organisation or group was first asked in 2006.
No changes have been made for 2021.
Data use considerations
Unpaid voluntary work for an organisation or group may include care of a child or care of a person with disability, a long-term illness or problems with old age. Unpaid child care (CHCAREP) and Unpaid assistance to a person with a disability, health condition or due to old age (UNCAREP) both exclude unpaid voluntary work for an organisation or group.
Care should be taken when comparing Census data on Voluntary work for an organisation or group with information from other surveys and publications. Definitions can differ between different statistical collections and may therefore not be comparable.
The non-response rate for Voluntary work for an organisation or group (VOLWP) was 6.4% in 2021. This is a decrease from 8.2% in 2016.
Useful links
National reporting indicators
Mnemonic | Variable | Release | |
---|---|---|---|
C3SP | Attainment of certificate III or higher or working towards a non-school qualification | October 2022 | |
EMFP | Employment flag | October 2022 | |
LFFP | Labour force participation flag | October 2022 | |
SVFP | Level of workplace participation survey comparison flag | October 2022 | |
UEFP | Unemployment flag | October 2022 | |
WTNSQP | People with or working towards a non-school qualification | October 2022 | New |
YR12C2P | Attainment of year 12 or certificate II or higher | October 2022 | |
YR12C3P | Attainment of year 12 or certificate III or higher | October 2022 |
Supporting variables
Mnemonic | Variable | Variable Topic | Release | |
---|---|---|---|---|
AGEP | Age | Population | June 2022 | |
EETP | Engagement in employment, education and training | Education and training | October 2022 | |
HEAP | Level of highest educational attainment | Education and training | June 2022 | |
HOSD | Housing suitability | Housing | June 2022 | |
INGP | Indigenous status | Aboriginal and Torres Strait Islander peoples | June 2022 |
Attainment of Certificate III or higher or working towards a non-school qualification (C3SP)
Definition
This variable is used for national reporting purposes.
This variable indicates whether a person has attained a Certificate III or higher or is currently studying a non-school qualification. This allows for calculation of the proportion of the population that has attained the relevant qualifications or is studying for a non-school qualification. This variable can be used for the calculation of the proportion of the population that is employed, as used in the Closing the Gap Target 7 – youth are engaged in employment or education.
Scope
All persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Attained Certificate III or higher or studying for a non-school qualification |
2 | Has not attained Certificate III or higher and is not studying for a non-school qualification |
@ | Not applicable* |
V | Overseas visitor* |
Number of categories: 4
Not applicable (@) comprises:
- Persons under 15 years of age
- Persons whose Non-school qualification: level of education was Not stated or inadequately described and who were not currently attending an educational institution or whose Type of educational institution currently attending was Secondary level or below.
- Persons who had not completed a Non-school qualification: level of education at Certificate III or higher and whose Type of educational institution currently attending was Not stated
- Persons whose Non-school qualification: level of education was Not stated or inadequately described and whose Type of educational institution currently attending was Not stated
* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
See Understanding supplementary codes for more information
Question(s) from the Census form
What type of education institution is the person attending?
On the online form the type of education institution attending question is split into two parts. When a respondent selects either 'Primary', 'Secondary' or 'Tertiary institution (e.g. University and vocational education and training, including TAFE and private training providers)' they are presented with a second question to describe the education institution in more detail.
More information
Question when respondents select 'Primary school'
More information - Primary
Question when respondents select 'Secondary school'
More information - Secondary
Question when respondents select 'Tertiary institution'
Has the person completed any educational qualification?
More information
What is the level of the highest qualification the person has completed?
More information
History and changes
This variable was first created in 2016. For 2021, overseas visitors have been separated out from the not applicable category into a separate category.
Data use considerations
This variable was created for National Reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.
Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Downloads
National reporting indicators 2021
Employment flag (EMFP)
Definition
This variable is used for national reporting purposes.
This variable flags whether a person is employed or unemployed/not in the labour force. This variable can be used for the calculation of the proportion of the population that is employed, as used in the Closing the Gap Target 8 – strong economic participation and development of people and their communities.
Scope
All persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Employed |
2 | Unemployed or not in the labour force |
@ | Not applicable* |
V | Overseas visitor* |
Number of categories: 4
Not applicable (@) comprises:
- Persons whose Labour force status (LFSP) was Not stated
- Persons under 15 years of age
* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
See Understanding supplementary codes for more information.
Question(s) from the Census form
Last week, did the person have a job of any kind?
More information
In the main job held last week, was the person: Working for an employer; Working in own business?
This question is only applicable for people aged 15 years and over who responded 'Yes, worked for payment or profit' or 'Yes, but absent on holidays, on paid leave, on strike, or temporarily stood down' to the previous question, 'Last week, did the person have a job of any kind?'
Last week, how many hours did the person work in all jobs?
More information
Did the person actively look for work at any time in the last four weeks?
More information
If the person had found a job, could the person have started work last week?
This question is only applicable to people aged 15 years and over who responded 'Yes, looked for full-time work' or 'Yes, looked for part-time work' to the previous question, 'Did the person actively look for work at any time in the last four weeks?
How this variable is created
Data for this variable is created by making custom categories from Labour force status (LFSP) as shown in the table below:
Labour force status (LFSP) | Employment flag (EMFP) |
---|---|
1 Employed, worked full-time | 1 Employed |
2 Employed, worked part-time | 1 Employed |
3 Employed, away from work | 1 Employed |
4 Unemployed, looking for full-time work | 2 Unemployed or not in the labour force |
5 Unemployed, looking for part-time work | 2 Unemployed or not in the labour force |
6 Not in the labour force | 2 Unemployed or not in the labour force |
& Not stated | @ Not applicable* |
@ Not applicable (Persons aged under 15 years) | @ Not applicable* |
V Overseas visitor | V Overseas visitor* |
History and changes
This variable was first created in 2016. For 2021, ‘Overseas visitor’ has been separated out from the ‘Not applicable’ category, into a separate category.
Data use considerations
This variable was created for National Reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.
Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
This variable is derived from the Labour force status (LFSP) variable. The non-response rate for Labour force status (LFSP) was 5.8% in 2021. This is a decrease from 6.7% in 2016.
Closing the Gap and Other National Government Reporting
This variable aims to provide data on Target 8 for the National Agreement for Closing the Gap:
- By 2031, increase the proportion of Aboriginal and Torres Strait Islander people aged 25-64 who are employed to 62 per cent.
Employment flag (EMFP), Indigenous status (INGP) and Age (AGEP) variables should be used to report on this measure. ‘Not applicable’ and ‘Overseas visitors’ categories should not be used for this measure.
For more information about ABS collections used in Closing the Gap and other National Government Reporting, see Closing the Gap and Other National Reporting.
Comparing Census with the ABS Labour Force Survey
The Census and Labour Force Survey both collect information about the labour market activity of people aged 15 years and over. While both collections seek to measure the concepts related to employment, unemployment and being outside of the labour force, there are a number of differences between them that should be considered in the use of the data. A summary of the differences between these collections is available in Comparing the 2021 Census and the Labour Force Survey.
Labour force participation flag (LFFP)
Definition
This variable is used for national reporting purposes.
This variable flags whether or not a person is participating in the labour force for people who had a stated Labour force status (LFSP). This variable can be used for the calculation of the proportion of the population that is employed, as used in Closing the Gap Target 8 – Strong economic participation and development of Aboriginal and Torres Strait Islander people and communities.
Scope
All persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Participates in the Labour Force |
2 | Not in the Labour Force |
@ | Not applicable* |
V | Overseas visitor* |
Number of categories: 4
Not applicable (@) comprises:
- Persons under 15 years of age
- Persons whose Labour force status (LFSP) was Not stated
* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
See Understanding supplementary codes for more information.
Question(s) from the Census form
Last week, did the person have a job of any kind?
More information
In the main job held last week, was the person: Working for an employer; Working in own business
This question is only applicable to people aged 15 years and over who responded 'Yes, looked for full-time work' or 'Yes, looked for part-time work' to the previous question, 'Did the person actively look for work at any time in the last four weeks?'
Last week, how many hours did the person work in all jobs?
More information
Did the person actively look for work at any time in the last four weeks?
More information
If the person had found a job, could the person have started work last week?
This question is only applicable to people aged 15 years and over who responded 'Yes, looked for full-time work' or 'Yes, looked for part-time work' to the previous question, 'Did the person actively look for work at any time in the last four weeks?'
How this variable is created
Data for this variable is created by making custom categories from Labour force status (LFSP) as shown in the table below:
Labour force status (LFSP) | Labour force participation flag (LFFP) |
---|---|
1 Employed, worked full-time |
1 Participates in the Labour Force |
2 Employed, worked part-time |
1 Participates in the Labour Force |
3 Employed, away from work |
1 Participates in the Labour Force |
4 Unemployed, looking for full-time work |
1 Participates in the Labour Force |
5 Unemployed, looking for part-time work |
1 Participates in the Labour Force |
6 Not in the labour force |
2 Not in the Labour Force |
& Not stated |
@ Not applicable* |
@ Not applicable (Persons aged under 15 years) |
@ Not applicable* |
V Overseas visitor |
V Overseas visitor* |
History and changes
This variable was first created in 2016. For 2021, 'Overseas visitors' have been separated out from the 'Not applicable' category into a separate category.
Data use considerations
This variable was created for National reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.
Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
This variable is derived from the Labour force status (LFSP) variable. The non-response rate for Labour force status (LFSP) was 5.8% in 2021. This is a decrease from 6.7% in 2016.
Comparing Census with the ABS Labour Force Survey
The Census and Labour Force Survey both collect information about the labour market activity of people aged 15 years and over. While both collections seek to measure the concepts related to employment, unemployment and being outside of the labour force, there are a number of differences between them that should be considered in the use of the data. A summary of the differences between these collections is available in the Comparing the 2021 Census and the Labour Force Survey.
Level of workforce participation survey comparison flag (SVFP)
Definition
This variable is used for national reporting purposes.
This variable approximates a population that is comparable with in-scope survey populations as used in the Closing the Gap Target 8 – strong economic participation and development of people and their communities.
Scope
All persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | In scope of national reporting level of workforce participation survey comparison population |
@ | Not applicable* |
Number of categories: 2
Not applicable (@) comprises:
- Persons living in non-private dwellings
- Persons living in non-classifiable households
- Persons who reported their Industry of employment (INDP) as ‘Foreign Government Representation’ or ‘Defence’
- Persons under 15 years of age
- Visitors (from within Australia)
- Overseas visitors
* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
Question(s) from the Census form
This variable is not derived from a question, but by other variables. See 'How this variable is created' for further information.
History and changes
This variable was first created in 2016. No changes have been made for 2021.
Data use considerations
This variable was created for National reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.
Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Unemployment flag (UEFP)
Definition
This variable is used for national reporting purposes.
This variable flags whether a person is unemployed or employed for people who reported they are in the labour force. This variable can be used to calculate the proportion of the labour force that is unemployed, as used in Closing the Gap Target 8 – Strong economic participation and development of Aboriginal and Torres Strait Islander people and communities.
Scope
All persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Unemployed |
2 | Employed |
@ | Not applicable* |
V | Overseas visitor* |
Number of categories: 4
Not applicable (@) comprises:
- Persons under 15 years of age
- Persons whose Labour force status (LFSP) was Not stated or Not in the labour force
* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
See Understanding supplementary codes for more information.
Question(s) from the Census form
Last week, did the person have a job of any kind?
More infomation
In the main job held last week, was the person: Working for an employer; Working in own business
This question is only applicable for people aged 15 years and over who responded 'Yes, worked for payment or profit' or 'Yes, but absent on holidays, on paid leave, on strike, or temporarily stood down' to the previous question, 'Last week, did the person have a job of any kind?'
Last week, how many hours did the person work in all jobs?
More information
Did the person actively look for work at any time in the last four weeks?
More information
If the person had found a job, could the person have started work last week?
This question is only applicable to people aged 15 years and over who responded 'Yes, looked for full-time work' or 'Yes, looked for part-time work' to the previous question, 'Did the person actively look for work at any time in the last four weeks?'
How this variable is created
Data for this variable is created by making custom categories from Labour force status (LFSP) as shown in the table below:
Labour force status (LFSP) | Labour force participation flag (LFFP) |
---|---|
1 Employed, worked full-time | 2 Employed |
2 Employed, worked part-time | 2 Employed |
3 Employed, away from work | 2 Employed |
4 Unemployed, looking for full-time work | 1 Unemployed |
5 Unemployed, looking for part-time work | 1 Unemployed |
6 Not in the labour force | @ Not applicable* |
& Not stated | @ Not applicable* |
@ Not applicable (Persons aged under 15 years) | @ Not applicable* |
V Overseas visitor | V Overseas visitor* |
History and changes
This variable was first created in 2016. For 2021, 'Overseas visitors' have been separated out from the 'Not applicable' category into a separate category.
Data use considerations
This variable was created for National reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.
Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
This variable is derived from the Labour force status (LFSP) variable. The non-response rate for Labour force status (LFSP) was 5.8% in 2021. This is a decrease from 6.7% in 2016.
Comparing Census with the ABS Labour Force Survey
The Census and Labour Force Survey both collect information about the labour market activity of people aged 15 years and over. While both collections seek to measure the concepts related to employment, unemployment and being outside of the labour force, there are a number of differences between them that should be considered in the use of the data. A summary of the differences between these collections is available in Comparing the 2021 Census and the Labour Force Survey.
People with or working towards a non-school qualification (WTNSQP)
Definition
This variable is used for national reporting purposes.
This variable indicates whether a person has a non-school qualification, is working towards a non-school qualification or both.
Scope
All persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | With a non-school qualification only |
2 | Working towards a non-school qualification only |
3 | With and working towards a non-school qualification |
4 | Not with or working towards a non-school qualification |
& | Status not determined/Not stated* |
@ | Not applicable* |
V | Overseas visitor* |
Number of categories: 7
Not applicable (@) comprises:
- Persons under 15 years of age
- Persons whose Type of educational institution attending was Primary school
* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
See Understanding supplementary codes for more information.
Question(s) from the Census form
What type of education institution is the person attending?
On the online form the type of education institution attending question is split into two parts. When a respondent selects either 'Primary', 'Secondary' or 'Tertiary institution (e.g. University and vocational education and training, including TAFE and private training providers)' they are presented with a second question to describe the education institution in more detail.
More information
Question when respondents select 'Primary school'
More information - Primary
Question when respondents select 'Secondary school'
More information - Secondary
Question when respondents select 'Tertiary institution'
Has the person completed any educational qualification?
More information
What is the level of the highest qualification the person has completed?
More information
History and changes
This is a new variable for 2021.
Data use considerations
This variable was created for National Reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.
Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Report on Government Services (RoGS)
This variable can be used to provide data for indicators in the Report on Government Services (RoGS) Chapter B Child care, education and training sector overview:
- BA.7 Proportion of 20-64 year olds with or working towards a non-school qualification
- BA.8 Proportion of 20-64 year olds with or working towards a non-school qualification, by Indigenous status
Employment flag (EMFP), Indigenous status (INGP) and Age (AGEP) variables should be used to report on this measure. ‘Not applicable’ and ‘Overseas visitors’ categories should not be used when reporting on this measure.
Downloads
National reporting indicators 2021
Attainment of Year 12 or Certificate II or higher (YR12C2P)
Definition
This variable is used for national reporting purposes.
This variable indicates whether a person has attained Year 12 or equivalent or Certificate II or higher. This allows calculation of the proportion of the population that has attained the relevant qualifications, as used in the Closing the Gap Target 6 – Aboriginal and Torres Strait Islander students reach their full potential through further education pathways.
Scope
All persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Attained Year 12 or equivalent or Certificate II or higher |
2 | Has not attained Year 12 or equivalent or Certificate II or higher |
@ | Not applicable* |
V | Overseas visitor* |
Number of categories: 4
Not applicable (@) comprises:
- Persons without Year 12 attainment whose Non-school qualification: level of education was Not stated or inadequately described
- Persons who did not state their highest year of school completed and who had not completed a Non-school qualification: level of education at Certificate II or higher
- Persons who did not state their highest year of school completed and whose Non-school qualification: level of education was Not stated or inadequately described
- Persons under 15 years of age
* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the highest year of primary or secondary school the person has completed?
More information
Has the person completed any educational qualification?
More information
What is the level of the highest qualification the person has completed?
More information
History and changes
This variable was first created in 2016. For 2021, 'Overseas visitors' have been separated out from the 'Not applicable' category into a separate category.
Data use considerations
This variable was created for National Reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.
Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Report on Government Services (RoGS)
This variable can be used to provide data for indicators in the Report on Government Services (RoGS) Chapter B Child care, education and training sector overview:
- BA.10 People aged 20-24 years who have completed year 12 (or equivalent) or Certificate II level or above, by Indigenous status
Indigenous status (INGP) and Age (AGEP) will also have to be used to report on these measures. ‘Not applicable’ and ‘Overseas visitors’ categories should not be used when reporting on these measures.
Downloads
National reporting indicators 2021
Attainment of Year 12 or Certificate III or higher (YR12C3P)
Definition
This variable is used for national reporting purposes.
This variable indicates whether a person has attained Year 12 or equivalent or Certificate III or higher. This allows calculation of the proportion of the population that has attained the relevant qualifications, as used in the Report on Government Services (RoGS) Indicator BA. 12 – Proportion of 20-24 year olds who have completed Year 12 (or equivalent) or Certificate III level or higher.
Scope
All persons aged 15 years and over
Categories
Code | Category |
---|---|
1 | Attained Year 12 or equivalent or Certificate III or higher |
2 | Has not attained Year 12 or equivalent or Certificate III or higher |
@ | Not applicable* |
V | Overseas visitor* |
Number of categories: 4
Not applicable (@) comprises:
- Persons without Year 12 attainment whose Non-school qualification: level of education was Not stated or inadequately described
- Persons who did not state their Highest year of school completed and who had not completed a Non-school qualification: level of education at Certificate III or higher
- Persons who did not state their Highest year of school completed and whose Non-school qualification: level of education was Not stated or inadequately described
- Persons under 15 years of age
* Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
See Understanding supplementary codes for more information.
Question(s) from the Census form
What is the highest year of primary or secondary school the person has completed?
More information
Has the person completed any educational qualification?
More information
What is the level of the highest qualification the person has completed?
More information
History and changes
This variable was first created in 2016. For 2021, 'Overseas visitors' have been separated out from the 'Not applicable' category into a separate category.
Data use considerations
This variable was created for National reporting purposes. Any analyses using this variable that are for other purposes should be done with caution and with reference to the relevant inclusions and exclusions described above.
Categories marked with an '*' are to be excluded from data extracted for national reporting purposes.
This variable does not have a non-response rate as it is created during Census processing by using responses from more than one question on the Census form.
Closing the Gap and Other National Government Reporting
This variable can be used to provide data on Target 5 for the National Agreement for Closing the Gap:
- By 2031, increase the proportion of Aboriginal and Torres Strait Islander people (age 20-24) attaining year 12 or equivalent qualification to 96 per cent
Indigenous status (INGP) and Age (AGEP) will also have to be used to report on this measure. ‘Not applicable’ and ‘Overseas visitors’ categories should not be used for this measure.
For more information about ABS collections used in Closing the Gap and other National Government Reporting, see Closing the Gap and Other National Government Reporting.
Report on Government Services (RoGS)
This variable can be used to provide data for indicators in the Report on Government Services:
- BA.12 Proportion of 20-24 year olds who have completed year 12 (or equivalent) or Certificate III level or above
- BA.14 Proportion of 20-64 year olds with qualifications at Certificate III level or above, by age group
- BA.15 Proportion of 20-64 year olds with qualifications at Certificate III level or above, by Indigenous status
Indigenous status (INGP) and Age (AGEP) will also have to be used to report on these measures. 'Not applicable’ and ‘Overseas visitors’ categories should not be used when reporting on these measures.
Downloads
National reporting indicators 2021
Glossary
A
Aboriginal and/or Torres Strait Islander
People who identified themselves, or were identified by another household member, as being of Aboriginal origin, Torres Strait Islander origin, or both Aboriginal and Torres Strait Islander origin.
See also Aboriginal and Torres Strait Islander ancestries, Indigenous household indicator (INGDWTD), Indigenous status (INGP), Whether reported using an Aboriginal and/or Torres Strait Islander language at home (LNGP) and Aboriginal and Torres Strait Islander family indicator (INGF).
Address
‘A structured label for any location where one would expect to deliver or receive a good or service’. This is the working definition used by Geoscape Australia, which aims to include all physical addresses, and exclude non-physical addresses such as post office boxes or email addresses.
Addresses are collected in the Census because data is required for key characteristics about where Australians live and work. Addresses are collected to:
- release accurate data for geographic areas, such as postal areas, states and territories, capital cities, towns, remote areas and many more
- produce population estimates for regions to help with the distribution of government funds and for electoral purposes
- help understand how and where people travel to work
- enable the development of a higher quality ABS Address Register, which is used widely to develop better survey processes, and improve processes and systems for the next Census.
See also Confidentiality and Name and address retention.
Administrative data
Administrative data is information that government departments, businesses and other organisations collect. They collect information for a range of reasons such as:
- registrations
- sales
- record keeping.
Some examples of administrative data:
- personal income tax information from the Australian Taxation Office
- information about the number of people who use Medicare from the Department of Health.
The ABS only collects and uses administrative data for statistics and research. We don't share or release this information in a way that could identify anyone.
Adopted child
The Census does not seek to separately identify adopted children. An adopted child is, in most cases, reported as the child of person 1 and/or person 2 in the relationship question, and is coded in the same way as a natural child.
See also Child, Child type (CTPP) and Reference person/Person 1.
Australian born
Australian born includes all people born in Australia, and excludes people:
- born overseas
- born at sea
- whose response was classified 'Inadequately described'
- whose response was classified 'Not elsewhere classified'
Australia in this definition is as set out in section 2B of the Acts Interpretation Act 1901 and for the 2021 Census includes: the six states, the Northern Territory, the Australian Capital Territory, Jervis Bay Territory, and the territories of Christmas Island, Cocos (Keeling) Islands and Norfolk Island.
See also Country of birth of person (BPLP).
Australian Census Longitudinal Dataset (ACLD)
ACLD uses data from the Census of Population and Housing to build a longitudinal picture of Australian society. The first release of ACLD was based on a random 5% sample from the 2006 Census, brought together with records from the 2011 and 2016 Census using probabilistic linking methods.
Australian residents temporarily overseas
The Census counts people in Australia on Census Night, therefore Australian residents temporarily overseas are excluded. However, administrative data for overseas arrivals and departures enable their inclusion in the Estimated Resident Population.
See also Estimated Resident Population (ERP) and Temporarily absent.
Average persons per household
Average persons per household (also known as average household size) is the average number of people usually resident in an occupied private dwelling.
This is calculated by taking the sum of the number of persons usually resident in a dwelling for all occupied private dwellings and dividing by the total number of occupied private dwellings.
The total number of people usually resident in dwellings is calculated from the Number of persons usually resident in dwelling (NPRD). The classification is weighted such that one person receives a weight of one; two people receive a weight of two; and so on until the maximum weight of eight.
This calculation excludes:
B
Boarding school student
Boarders at school or college are specifically asked to record the address of the school or college as their usual residence if they intend to live there for a total of 6 months or more. This instruction was not given in censuses prior to 1986 and often these people incorrectly reported their family home as their place of usual residence.
See also Type of non-private dwelling (NPDD).
C
Caravans
Caravans that are occupied are usually treated as private dwellings. This includes caravans and campervans that are located on:
- caravan or residential parks
- camping grounds
- roadsides or open land.
Caravans on residential allotments are also usually treated as an occupied private dwelling. The exception to this is where there are one or more other structures on the allotment and the occupants of the caravan are residents of the main dwelling. In this case the occupants are all classed as one household and the caravan is counted as an additional room of the main dwelling.
Census and Statistics Act 1905
The Census and Statistics Act 1905 (CSA) provides the Australian Statistician with the authority to conduct statistical collections, including the Census of Population and Housing, and, when necessary, to direct a person to provide statistical information.
See also Legislative framework and Confidentiality.
Census counts
The Census counts people where they were located on Census Night and this count of the population is referred to as the place of enumeration count. A count of the population based on their place of usual residence is also available. In censuses prior to 2006, many of the Census products presented data on a place of enumeration basis. Since 2006, the focus has been on place of usual residence.
Census counts by place of usual residence:
- exclude overseas visitors
- exclude Australian residents temporarily overseas.
The variables Family composition (FMCF) and Household composition (HHCD) are coded on a place of usual residence basis rather than a place of enumeration basis. All visitors to dwellings are excluded when coding these variables. Usual residents who are reported as 'temporarily absent' are included in the coding of Family composition (FMCF) and Household composition (HHCD).
See also Estimated resident population (ERP), Household, Place of enumeration, Place of usual residence (PURP), and Usual residence.
Census date
The date of the 2021 Census was Tuesday 10 August 2021.
Census time capsule
From the 2001 Census, the Census form has included an optional question asking whether each person in the household agrees to have their personally identified information kept and securely held by the National Archives of Australia for 99 years. This personally-identified Census information will not be available for any purpose (including to courts and tribunals) within the 99 year closed access period and cannot be accessed, altered or retrieved before that time.
After 99 years, the name identified data will be made public for future generations. The first batch of such information, from the 2001 Census, will be publicly available in 2100. Those accessing the information could include genealogists, historians, social analysts and other researchers in the 22nd century.
Unlike other questions, the Census time capsule question on the form does not relate to a specific Census topic and is not listed in the Census Regulations, with other topics. Rather, the Census time capsule was made possible by an amendment to the Census and Statistics Act 1905.
See also Confidentiality and Name and address retention.
Child
This is a person of any age who is a natural, adopted, step, foster or nominal son or daughter of a couple or lone parent, usually resident in the same household. A child is also any individual under 15, usually resident in the household, who forms a parent-child relationship with another member of the household. This includes otherwise related children less than 15 years of age and unrelated children less than 15 years of age.
In order to be classified as a child, the person can have no identified partner or child of their own usually resident in the household. A separate family in the household is formed in this instance. If a person is aged under 15 and has a partner and/or a spouse these relationships are not recorded.
There are three types of children identified by the Relationship in household (RLHP) variable:
- child under 15
- dependent student
- non-dependent child.
Variables relevant to children are:
- Child type (CTPP)
- Count of all children in family (CACF)
- Count of dependent children aged under 15 temporarily absent (CDCAF)
- Count of dependent children in family (CDCF)
- Count of dependent students (15-24 years) temporarily absent (CDSAF)
- Count of non-dependent children in family (CNDCF)
- Count of non-dependent children temporarily absent (CNDAF)
- Count of children with selected long-term health condition(s) in household (CCLTHD)
- Count of dependent children under 15 (CDCUF)
- Count of dependent students (15-24 years) (CDSF)
- Child type (including grandchildren) (CTGP)
Characteristics of children or parents who were temporarily absent on Census Night are not available.
Confidentiality
Under the Census and Statistics Act 1905, the personal information you provide in the Census remains strictly confidential to the ABS. The ABS never has and never will release identifiable Census data. Other organisations, including government departments and marketing companies, cannot have access to personal information you provide on your Census form.
For more information refer to the 2021 Census Privacy Statement.
See also Census time capsule, Introduced random error/perturbation and Name and address retention.
Contributing family worker
Couple family
A couple family is identified by the existence of a couple relationship. A couple relationship is defined as two people usually residing in the same household who share a social, economic and emotional bond usually associated with marriage and who consider their relationship to be a marriage or marriage-like union. This relationship is identified by the presence of a registered marriage or de facto marriage. A couple family can be with or without children, and may or may not include other related individuals. A couple family with children present can be expanded to elaborate on the characteristics of those children, such as their number, age and dependency status.
See also Family blending (FBLF), Family composition (FMCF), Marital status, Relationship in household (RLHP) and Same-sex couple.
D
Data processing
Data processing includes all steps from receipt of Census responses in either online or in paper form through to the production of a clean Census data file.
For 2021 Census, a Data Capture Centre (DCC) was established to register, scan and capture data from the paper forms using imaging and Intelligent Character Recognition. A Data Operation Centre was established which was responsible for processing: including frame reconciliation, coding, imputation, editing, and quality assuring all of the 2021 Census Data.
See also 2021 Census methodology and Quality assurance.
Derivation
Derivation is an automated process where some variables are assigned values based on responses to other questions, or, (where no response has been provided), from other family members present in the same dwelling. Examples of these include deriving age from date of birth or automatically setting fields to not-applicable based on responses to other questions.
See also Imputation and Non-response.
Destination zone
Destination zones (DZNs) are the spatial unit used to code Place of work (POWP) and are an aggregation of 2021 mesh blocks. DZNs aggregate to statistical areas level 2 (SA2s) in the Australian Statistical Geography Standard (ASGS). Data at DZN level will be available in the Census TableBuilder product.
See also Place of work (POWP) and Australian Statistical Geography Standard (ASGS).
Dwelling
A dwelling is a structure which is intended to have people live in it, and which is habitable on Census Night. Some examples of dwellings are houses, motels, flats, caravans, prisons, tents, humpies and houseboats.
Private dwellings are enumerated using online or paper household forms, which obtain family and relationship data as well as information on the dwelling itself such as rent or mortgage payments and ownership. Non-private dwellings (for example hotels and hospitals) are enumerated using online or paper personal forms. While these forms capture information about the person's residential status within the non-private dwelling, they do not capture information on ownership of, or payments related to, the dwelling.
All occupied dwellings are counted in the Census. Unoccupied private dwellings are also counted. This includes unoccupied units in retirement villages (self-contained). Unoccupied residences of owners, managers or caretakers of caravan parks, marinas and manufactured home estates are also counted, but other unoccupied dwellings in such establishments are not counted.
Since the 2001 Census unoccupied private dwellings have been counted in discrete Indigenous communities.
If a non-private dwelling is unoccupied on Census Night it is out of scope. Unoccupied residences of owners, managers or caretakers of such establishments are counted.
See also Caravans, Dwelling location (DLOD), Dwelling structure (STRD), Dwelling type (DWTD), Household, Manufactured home estates and Type of non-private dwelling (NPDD).
E
Employed
Persons in employment are those of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit. Employment is defined as an activity of one hour or more.
See also Public/private sector (GNGP), Hours worked (HRSP), Labour force status (LFSP), Occupation (OCCP) and Part-time work.
Employed, away from work
The 'employed away from work' category refers to people who responded that they had a job in the week before the Census, but were away from work on holidays, on paid leave, on strike, or temporarily stood down. It also includes those who stated that they worked in the previous week but did not provide the number of hours worked. Extra guidance was given in the online form for those who weren't working due to COVID-19 restrictions.
See also Labour force status (LFSP).
Employee
An employee is a person who works for a public or private employer and receives remuneration in wages or salary; or is paid a retainer fee by their employer, while working on a commission basis; or works for an employer for tips, piece-rates or payment in kind.
See also Public/private sector (GNGP), Hours worked (HRSP), Labour force status (LFSP), Occupation (OCCP) and Status in employment (SIEMP).
Enumeration
Enumeration is the action of counting something. The Census enumerates (or counts) everyone in Australia on Census Night, as well as all the dwellings.
See also Place of enumeration.
Estimated Resident Population (ERP)
The Estimated Resident Population (ERP) is the official measure of the population of Australia, and is based on the concept of usual residence. It refers to all people, regardless of nationality, citizenship or legal status, who usually live in Australia, with the exception of foreign diplomatic personnel and their families. The ERP includes usual residents who are overseas for less than 12 months and excludes overseas visitors who are in Australia for less than 12 months.
More information on the ERP can be found in the ABS publication National state and territory population, produced quarterly. ERPs for SA2s, LGAs and selected non-ABS structures are published annually in Regional population. More information on demographic publications is available under Population on the ABS website.
See also Australian Statistical Geography Standard (ASGS), Census counts, Place of enumeration, Place of usual residence (PURP).
Ethnicity
A number of variables used in the 2021 Census may provide information about ethnic origin. These variables may be cross-classified by sex or other related variables.
See also Ancestry (ANCP), Country of birth of person (BPLP), Country of birth of parents (BPPP), Indigenous status (INGP), Language used at home (LANP), Proficiency in spoken English (ENGLP), Religious affiliation (RELP) and Year of arrival in Australia (YARP).
F
Family
A family is defined by the ABS as two or more people, one of whom is at least 15 years of age, who are related by blood, marriage (registered or de facto), adoption, step or fostering, and who are usually resident in the same household.
Each separately identified couple relationship, lone parent-child relationship or other blood relationship forms the basis of a family. Some households contain more than one family. Non-related people living in the same household are not counted as family members (unless under 15 years of age).
Other related individuals (brothers, sisters, aunts, uncles) may be present in the household. If more than one family is present these people can only be associated with the primary family.
Visiting families are not included as part of the household, and the relationships of other visitors are not coded. A household containing only a visiting family (e.g. a family at a holiday home) is coded to a household type of visitors only.
Where all people present are aged under 15 years, or where information for each person has been imputed, the household is deemed not classifiable to a family. Of people listed as temporarily absent, only spouse(s) and family children are used in coding family composition.
For further information on families and grandparent families, see Understanding Family composition and Grandparent families.
Family variables: The basic family classification is Family composition (FMCF). When classifying families, information about temporarily absent family members is used. Other family variables available are:
- Count of all children in family (CACF)
- Count of children aged under 15 temporarily absent (CDCAF)
- Count of dependent children in family (CDCF)
- Count of dependent children under 15 (CDCUF)
- Count of dependent students (15-24 years) (CDSF)
- Count of dependent students (15-24 years) temporarily absent (CDSAF)
- Count of non-dependent children in family (CNDCF)
- Count of non-dependent children temporarily absent (CNDAF)
- Count of persons in family (CPRF)
- Count of persons temporarily absent from family (CPAF)
- Family household composition (HCFMF)
- Grandparent families (FMGF)
- Labour force status of parents/partners in families (LFSF)
- Location of spouse (SPLF)
- Aboriginal and Torres Strait Islander family indicator (INGF)
- Spouse/partner indicator (SPIP)
- Same-sex couple indicator (SSCF)
See also Child, Family blending (FBLF), Family composition (FMCF), Family/household reference person indicator (RPIP) and Relationship in household (RLHP).
First generation Australians
First generation Australians are people living in Australia who were born overseas.
See also Country of birth of person (BPLP) and Understanding migrant statistics in the Census and other data sources.
Foster child
The term 'foster child' generally refers to a child being raised by an unrelated family in the absence of any natural, adoptive or step parent(s).
In practice, a person is coded to foster child if the response 'foster' is given for that person, regardless of the individual's dependency status.
The variables Child type (CTPP) and Relationship in household (RLHP) have foster child categories.
G
Geography
The Census provides a range of data over different areas and geography levels. The Australian Statistical Geography Standard (ASGS) defines all the geographies used by the ABS for release of data. Each geography has its own name, boundaries, and purpose.
For more information and definitions on the geographies used in the 2021 Census, see Understanding Census Geography.
See also Special purpose codes.
Government benefits, pensions and allowances
Government benefits, pensions and allowances are income support payments from government to persons under the social security and related government programs. Included are pensions and allowances received by aged, disabled, unemployed and sick persons, carers, families and children, veterans or their survivors, and study allowances for students. All overseas pensions and benefits are considered income if they are being received when the person completed the Census. Family tax benefit is also regarded as income.
The calculation of total income includes any pensions or benefits received.
See also Total personal income (weekly) (INCP).
Group household
The ABS defines a group household as a household consisting of two or more unrelated people where all people are aged 15 years and over. There are no reported couple relationships, parent-child relationships or other blood relationships in these households.
An unrelated child (e.g. boarder) under the age of 15 who lives in a household with one or more usual residents, is coded as forming a parent-child relationship within that household. These households become family households, not group households.
Group households are classified in the variable Household composition (HHCD), and individual members are classified in Relationship in household (RLHP).
H
Homelessness enumeration
Everyone in Australia at Census time needs to be counted in the Census, excluding foreign diplomats and their families, no matter where they may be sleeping on Census Night. To achieve this, the ABS has developed a strategy to obtain the best possible enumeration of people, no matter where they sleep. Some aspects of this strategy include liaising with service providers and engaging specialised field staff to count people sleeping rough on a special interview based form, and providing the ability for people to respond to the usual residence question as 'none' if they have no usual residence.
See also Estimates of homelessness based on the 2021 Census, Dwelling structure (STRD), Improvised home, Special short form and Usual residence.
Hotdecking
The primary imputation method used for the Census is known as 'hotdecking'. Other imputation processes use probability methods. In general the hotdecking method involves locating a donor record and copying the relevant responses to the record requiring imputation. The donor record will have similar characteristics and must also have the required variable(s) stated. In addition the donor record will be located geographically as close as possible to the location of the record to be imputed. The match must occur within the same Capital City or Balance of State.
The methodology for imputation is tailored to two situations. Firstly, where no Census form has been returned and secondly where a partially completed form was returned.
No Census form returned - private dwelling: Where a private dwelling was identified as occupied on Census Night but a Census form was not returned, the number of males and females normally in the dwelling and their key demographic variables require imputation. In these cases, the non-demographic variables are set to 'Not stated' or 'Not applicable'.
For dwellings where the number of males and females is unknown, two imputation processes are performed. Initially, these records have their number of males and females imputed using hotdecking. Then a second imputation (also using hotdecking) is run to impute the key demographic variables for the newly created person records.
To hotdeck the number of males and females, the donor records must meet several conditions:
- they must be occupied private dwellings where a form was returned and contain a maximum of 6 persons
- they must have a similar Dwelling Structure (STRD) and Dwelling Location (DLOD) to the record to be imputed
- they must be located geographically as close as possible to the location of the record to be imputed
The number of males and females are the only data copied from the donor record in the first hotdecking process.
In the next process, the records which have just had their number of males and females imputed, are subjected to the same hotdecking process as those records where the number of males and females had been ascertained.
This hotdecking process imputes the key demographic variables. Again the donor records must meet several conditions:
- they must be records where everyone within the dwelling provided all their demographic characteristics
- they must have similar Dwelling Structure (STRD) and Dwelling Location (DLOD)
- they must have identical counts of males and females and
- they must be located geographically as close as possible to the location of the record to be imputed.
The key demographic variables are then copied from the donor records to the records requiring imputation
No Census form returned - Non private dwelling: Where a person in a non-private dwelling did not return a form, their demographic characteristics are copied from another person in a similar non-private dwelling using Type of non-private dwelling (NPDD).
Census form returned: Where a form was returned, some or all of the demographic characteristics may require imputation. Characteristics are imputed using a combination of hotdecking and probability techniques.
See also Derivation and Imputation.
Household
A household is defined as one or more people, at least one of whom is at least 15 years of age, usually resident in the same private dwelling.
For Census purposes, the total number of households is equal to the total number of occupied private dwellings as a Census form is completed for each household from which dwelling information for the household is obtained.
See also Family, Group household, Household composition (HHCD), Indigenous household indicator (INGDWTD), Lone person household, Relationship between families (FRLF) and Tenure type (TEND).
Household form
The Census household form (online or paper) is the primary means for collecting Census data and is used in all private dwellings. The household form records details about the dwelling and characteristics of people in the dwelling. It records details of up to six people on the paper form and up to 25 people on the online form. Extra forms are used if there are more people than this.
To view a PDF version of the Census household form, see Sample copies of the 2021 Census paper forms.
See also Interviewer household form, Personal form, Special short form and Form type (FTCP).
I
Improvised home
These include sheds, tents, humpies and other improvised dwellings, occupied on Census Night. This category also includes people sleeping rough, such as those sleeping on the streets, in abandoned buildings, under bridges or in cars.
See also Homelessness enumeration and Dwelling structure (STRD).
Imputation
Imputation is a statistical process for predicting values where no response was provided to a question and a response could not be derived. In the Census, we impute key demographic variables (sex, age, marital status, and usual residence) where no Census form is returned or when a respondent does not respond to one of these questions.
Where a private dwelling is identified as occupied on Census Night but a Census form has not been returned, people are imputed into that dwelling - both the number of people and their key demographic characteristics.
If a person in a non-private dwelling did not return a form, their demographic characteristics are imputed from people in similar non-private dwellings.
Where a person responds to the Census but does not answer the age, sex, marital status or usual residence questions, values are imputed using other information on the form as well as the distribution of these data items in the responding population.
Imputation flag variables enable users of Census data to quantify the number of imputed records, for applicable data items, in a given population.
For more information on imputation see the 2021 Census methodology.
See also Derivation, Non-response and Hotdecking.
Industry
An Industry refers to individual businesses carrying out similar productive activities that can be grouped together. Individual business entities are assigned to an industry based on the predominant activity identified on the Census form. Industry data is coded to the Australian and New Zealand Standards Industrial Classification (ANZSIC), 2006 (Revision 2.0).
See also Australian and New Zealand Standards Industrial Classification (ANZSIC), and Industry of employment (INDP).
Intelligent Character Recognition (ICR)
2021 Census data was processed using Intelligent Character Recognition (ICR) technology for the paper forms. Specialised computer software is used to interpret the handwriting on images taken of each page of the Census form. Once recognised, answers to Census questions were coded to the appropriate category of the relevant classification, for example Religion, Occupation, etc.
See also Data processing.
Internal migration
Internal migration is the movement of people across a specified boundary within Australia for the purpose of changing their place of usual residence. Information on internal migration within Australia is available from the Census.
The Census asks a series of questions relating to each person's usual address which can be used to identify the change of address of people for one year prior to the Census data, and for five years prior to the Census date. Data collected in the Census only reflect movements which coincide with these particular points in time in the intercensal period (i.e. one year ago and five years ago), even though there may have been multiple movements during this period.
Household mobility indicators are also derived using this information. Note that persons temporarily absent, visitors, and households containing only visitors, are excluded from these variables.
See also Household one year mobility indicator (MV1D), Household five year mobility indicator (MV5D), Place of usual residence one year ago (PUR1P), Place of usual residence five years ago (PUR5P), Usual address indicator Census night (UAICP), Usual address one year ago indicator (UAI1P), Usual address five years ago indicator (UAI5P), and Usual residence.
Interviewer household form
The Interviewer household form is used in Aboriginal and Torres Strait Islander communities (and areas where language differences or other factors make use of the standard self-enumeration forms impractical). The Interviewer household form is an interview based Census form which is used to record the details of up to 12 people in a household, and some dwelling data. If there are more than 12 people in a dwelling, additional Interviewer household forms are used.
To view a PDF version of the Interviewer household form, see Sample copies of the 2021 Census paper forms.
See also Form type (FTCP).
Introduced random error/perturbation
Under the Census and Statistics Act 1905 it is an offence to release any information collected under the Act that is likely to enable identification of any particular individual or organisation. To minimise the risk of identifying individuals in aggregate statistics, a technique has been developed to randomly adjust values. Random adjustment of the data, known as random error or perturbation, is considered to be the most satisfactory technique for avoiding the release of identifiable data while maximising the range of information that can be released. To learn more, see the 2021 Census methodology on Introduced random error/perturbation.
See also Confidentiality.
J
Job
The Australian and New Zealand Standard Classification of Occupations (ANZSCO), Version 1.3 defines a job as a set of tasks performed by one individual. An occupation is a collection of jobs that are sufficiently similar in their main tasks to be grouped together for the classification.
See also Australian and New Zealand Standard Classification of Occupations (ANZSCO), Labour force status (LFSP) and Occupation (OCCP).
L
Labour force
For Census purposes, the labour force includes people aged 15 years and over who:
- work for payment or profit, or as an unpaid helper in a family business, during the week prior to Census Night
- have a job from which they are on leave or otherwise temporarily absent
- are on strike or stood down temporarily
- do not have a job but are actively looking for work and available to start work.
The following people are classified as being in the labour force:
- employed people (i.e. the first three groups above)
- unemployed people (i.e. the last group above).
People aged 15 years and over who are neither employed nor unemployed are classified as not in the labour force. This includes people who are retired, pensioners and people engaged solely in home duties (unpaid).
See also and Comparing the 2021 Census and the Labour Force Survey Labour force status (LFSP).
Lockdown
On Census day and the week preceding it, a number of regions across the country were in various stages of lockdown or experiencing other restrictions due to the COVID-19 pandemic. This may have affected the way people responded to the Census form, particularly where there were changes to the person's employment circumstances. Examples of the changes seen in the data included how people travelled to their place of work; how many people worked from home; and a greater number of people being temporarily stood down in the week before the Census. Guidance on how to correctly respond to the relevant questions was provided at the time on the Census website and within the Census online form.
See also the data use consideration sections in the variables in Income and Work and Transport.
Information on how the Census was run during COVID-19 is here.
Lone parent
A lone parent is a person who has no spouse or partner usually resident in the household, and who forms a parent-child relationship with at least one child usually resident in the household. The child may be either dependent or non-dependent.
See also Relationship in household (RLHP).
Lone person household
A private dwelling, with only one person aged 15 years or over, is classified as a lone person household.
See also Household composition (HHCD).
Long-term health condition(s)
Long-term health conditions are diagnosed by a doctor or nurse, last six months or longer and include health conditions that:
- May recur from time to time, or
- Are controlled by medication, or
- Are in remission
See also Comparing ABS long-term health conditions data sources, Long-term health conditions and Type of long-term health condition (LTHP).
M
Manufactured home estates
Manufactured home estates are land or estates developed specifically for manufactured homes, and on which manufactured homes are installed, or are to be installed.
A manufactured home is a self-contained dwelling that is built off-site and then transported to the estate for installation. This includes any associated structures that form part of the dwelling.
Within the development there must be reticulated water, sewerage, drainage and electricity connected to each lot. There must also be some form of community facilities and transport services available, and reasonable access to medical care, recreational facilities, etc.
This category of the variable Dwelling location (DLOD) specifically excludes all retirement villages.
See also Dwelling, Dwelling location (DLOD) and Dwelling type (DWTD).
Marital status
There are two variables that may be used to identify a person's marital status: Registered marital status (MSTP) and Social marital status (MDCP).
Registered marital status (MSTP) reports responses to the question 'What is the person's current marital status?' and refers to the legal status of the person, and not necessarily their current living arrangement.
Social marital status (MDCP) reports responses to two questions: 'What is the person's relationship to Person 1/Person 2?' and 'What is the person’s current marital status?'. This variable records a person's relationship status based on their current living arrangements. It identifies whether they form a couple relationship with another person living in the same usual residence, and the nature of that relationship.
See also Registered marital status (MSTP), Social marital status (MDCP) and Relationship in household (RLHP).
Median income
Median income is the level of income which divides the units in a group into two equal parts, one half having incomes above the median and the other half having incomes below the median. Medians have been estimated for each income range using data from the Survey of Income and Housing.
For information on how medians are used in the derivation of Total personal income (weekly) (INCP).
See also Household income derivation indicator (HIDD),Total family income (weekly) (FINF), Total household income (weekly) (HIND) and Total personal income (weekly) (INCP).
Mnemonics
Mnemonics are a shorthand method of describing Census variables when specifying output requirements. Each variable relates to either a dwelling (or household), family or person. The last character of the mnemonic (D, F or P) indicates the unit to which the classification relates. For example, AGEP is the mnemonic for the person level variable, Age. The default order of the variable index in this dictionary is alphabetic order by mnemonic.
Multiple family households
For the 2021 Census, a maximum of three families can be identified in one household. In cases where more than three families are identified in a household, the first three families are coded and other persons are classified as either related family members of the primary family or non-family members.
Relevant variables are Family composition (FMCF), Family number (FNOF) and Relationship between families (FRLF).
N
Name
The collection of names and addresses in the Census is a critical part of ensuring the quality and value of the Census.
Names are collected in the Census for many reasons, including:
- Making it easier for the person completing the form to provide the right information for each person in the household
- Enabling high quality data linking for important research for projects, such as enabling more accurate estimation of Aboriginal and Torres Strait Islander life expectancy: Indigenous Mortality Project
- Enabling the Post Census Review (also known as the post enumeration survey) to assess the quality of Census data. The Post Census Review is a short survey run in the month after the Census to determine how many people were missed or counted more than once, and to independently assess completeness of the Census.
Following a consultation process and Privacy Impact Assessment the ABS made the decision to retain names for up to 18 months and addresses for up to 36 months. The names will be used to generate anonymised keys that can be used to combine existing data sets to create richer and more valuable statistics for Australians.
See also Confidentiality, Name and address retention and Census time capsule.
Name and address retention
After the Census has been conducted and forms have been processed, the ABS will separate names and addresses from other information on the Census form (e.g. age, sex, occupation, level of education or income). The names and addresses are then stored securely and separately from other Census data and no one is ever able to view your name or address with your other Census data. This practice is known as the Separation Principle.
The ABS will retain names for up to 18 months and addresses for up to 36 months.
See also Address, Census time capsule, Confidentiality and Name.
Name of employer
For each employed person, their employer's business name and address is requested on the Census form. This information is used to assist in classifying the employed person's Industry of employment (INDP).
See also Australian and New Zealand Standard Industrial Classification (ANZSIC), Confidentiality, Industry of employment (INDP) and Industry.
Negative income
Negative income occurs when the operating expenses are higher than the gross receipts (or revenue) of a self-employed person, business or a rental property. A person has negative income if these losses are greater than any income, benefits or allowances received from other sources.
See also Total personal income (weekly) (INCP).
Nominal child
A nominal child is any individual under 15 years of age who does not have a parent usually resident in the household but is instead assigned to a nominal parent from among other household members. Such children may be related to the nominal parent (e.g. as a nephew or niece) or not be related at all. Allocation of a nominal parent to a nominal child is determined by the application of certain coding rules. For more information refer to the Family, household and income variables, 2014.
Non-binary sex
Non-binary sex was the third response category to the sex question in the 2021 Census. The inclusion of this third category was to allow respondents to participate in the Census when the male and female sex categories did not accurately describe their sex.
See also Non-binary sex in the 2021 Census and Analysis of non-binary sex responses.
Non-family member
A person for whom there is no identified couple relationship, parent-child relationship, or other blood relationship with any of the other usual residents of the household. They may live within a family household, or they may form a non-family household either as a lone person or a group household.
A non-family member is a person who is either:
- a lone person
- a group household member or
- an unrelated individual living in a family household.
See also Dwelling, Household, Relationship in household (RLHP), Visitors to a household and Visitors to Australia.
Non-response
Non-response refers to the situation where a response to one or more questions (items) on the form was not answered.
Item non-response occurs:
- where a household or person returns a form but does not answer one or more questions
- where a household or person does not respond to the Census at all.
For the key demographic variables (sex, age, marital status and usual residence) we impute values where non-response occurs. The corresponding imputation flags for these variables indicate if the item was imputed.
Where non-responding persons have been imputed, the remaining questions are either set to 'item non-response' or 'not applicable', depending on the imputed age of the person.
For detailed information on non-response, see 2021 Census methodology.
See also Derivation and Imputation.
Not in the labour force
Persons not in the labour force are those people who, during the week prior to Census Night, were neither employed nor unemployed. They include people who were performing unpaid home duties, caring for children, retired, voluntarily inactive, permanently unable to work, in jail, trainee teachers, members of contemplative religious orders, and people whose only activity during the week prior to Census Night was jury service or unpaid voluntary work for a charitable organisation.
See also Labour force and Labour force status (LFSP).
O
One-parent family
A one-parent family consists of a lone parent with at least one child (regardless of age) who is also usually resident in the household and who has no identified partner or child of their own. The family may also include any number of other related individuals.
Examples of one parent families include: a 25-year-old parent with dependent children; and an 80-year-old living with a 50-year-old child.
Information on people who are temporarily absent is used in family coding to differentiate between lone person households and one parent families (if child was temporarily absent) or between one parent and couple families (if a spouse was temporarily absent).
See also Child, Family, Lone parent, Relationship in household (RLHP) and Temporarily absent.
Or equivalent level of education
The term "or equivalent" can include:
- other terms used to describe years of schooling in Australia, which may have changed over time, as well as school level education undertaken at other institutions (e.g. TAFE)
- Year 12 equivalents can include: year 13, 6th form, Higher School Certificate and matriculation
- Year 10 equivalents can include: 4th form
- overseas qualifications comparable to Australian levels of schooling, for example the German Abitur is equivalent to year 12 in Australia
The International Baccalaureate is equivalent to year 12 in Australia.
Certificate level qualifications (e.g. Certificate I-IV) attained while studying at school are non-school qualifications and are not equivalent to school level qualifications (e.g. Year 12).
For information about how school and non-school qualifications are treated when determining highest educational attainment, see Level of highest educational attainment (HEAP).
Other family
Other family is defined as a group of related individuals residing in the same household, who cannot be categorised as belonging to a couple or one parent family.
If two brothers, for example, are living together and neither is a spouse or partner, a lone parent or a child, then they are classified as an other family. However, if the two brothers share the household with the daughter of one of the brothers and her husband, then both brothers are classified as other related individuals and are attached to the couple family.
See also Couple family, Family, Family composition (FMCF), One-parent family and Other related individual.
Other related individual
An individual who is related to at least one other member of the household, but who does not form an identified couple relationship or parent-child relationship according to the priority rules of family coding. They can be related through blood, step or in-law relationship and include any direct ancestor or descendant. Relatives beyond first cousin are excluded.
Other related individuals are attached to an existing family nucleus formed by a couple relationship or parent-child relationship. If no such nucleus exists but individuals in a household are related to each other (see list below) they form an 'Other family' in the Family composition (FMCF) classification.
The Relationship in household (RLHP) variable is used to identify other related individuals. The following is a list of relationships used to define an other related individual:
son in-law, daughter in-law, grandmother, step grandmother, grandmother in-law, grandfather, step grandfather, grandfather in-law, granddaughter, step granddaughter, granddaughter in-law, grandson, step grandson, grandson in-law, sister, step sister, half-sister, sister in-law, brother, step brother, half brother, brother in-law, aunt, step aunt, aunt in-law, uncle, step uncle, uncle in-law, nephew, step nephew, nephew in-law, niece, step niece, niece in-law, cousin, step cousin, cousin in-law.
See also Family, Other family, Family composition (FMCF) and Relationship in household (RLHP).
Overcount
An overcount is when a person was counted more than once, or in error in the Census.
Some reasons why people may have been overcounted include:
- they were included on the Census form at the dwelling where they usually live, even though they stayed and were counted elsewhere on Census Night
- they have multiple usual residences
- they moved during the Census period and completed forms at both their previous and new address
- they were overseas on Census Night and were included on a Census form.
See also Undercount and/or underenumeration, 2021 Census overcount and undercount and Post Census Review (PCR).
Overseas born
For the 2021 Census, people are classified as overseas born if:
- they were born in a country other than Australia
- they were born at sea
- their response was classified 'Inadequately described'
- their response was classified 'Not elsewhere classified'.
Australia in this definition is as set out in section 2B of the Acts Interpretation Act 1901, and for the 2021 Census includes the states and territories and the other territories of Christmas Island, Cocos (Keeling) Islands, Jervis Bay Territory and Norfolk Island. It excludes the other Australian external territories (Australian Antarctic Territory, Heard and McDonald Islands, Ashmore and Cartier Islands and the Coral Sea Territory).
See also Country of birth of person (BPLP) and Understanding Migrant statistics in the Census and other data sources.
Owner managers
P
Parent
A parent is a natural, adoptive, step, foster mother or father of a child, or a person who is assigned as a nominal parent. This person must be usually resident in the same household as the child.
See also Child, Family, Family composition (FMCF), Nominal child and Relationship in household (RLHP).
Parent-child relationship
The existence of a parent-child relationship is one of the foundations on which separate families and particular family composition categories are identified. It only refers to relationships between people usually resident in the same household. It includes relationships in which people actually report a parent-child relationship on the Census form (including being an adopted child or a foster child of an adult), as well as some designated relationships (i.e. for children aged less than 15 years who do not otherwise have a parent in the household, in which case a nominal parent/child relationship is established).
An individual may be both a parent and a child of other people in the household. For example, a person could live with their father or mother and have a child of their own. If a child in a household is also identified as being a parent, then precedence is given to the person's role as a parent for family composition coding purposes.
See also Child, Family, Family composition (FMCF), Number of children ever born (TISP) and Parent.
Partner
A person identified as being in a couple relationship with another person usually resident in the same household is a partner. The couple relationship is established through reporting of either a registered or de facto marriage and includes same-sex couples.
See also Marital status and Same-sex couple.
Part-time work
A person is considered to be working part-time if they worked less than 35 hours in all jobs during the week prior to Census night. This is consistent with the definition of employed part-time in the Labour Force, Australia publication.
See also Labour force status (LFSP) and Hours worked (HRSP).
Personal form
The Census personal form (online or paper) records details for one person only. It contains the same questions as the Census household form but excludes the questions related to the dwelling. It is used for people staying in a non-private dwelling such as a hotel, motel, hostel, or nursing home. It may also be used when a private dwelling requests an additional form (e.g. large households or if an individual wants to keep their responses private) and the household has already completed a household form.
To view a PDF version of the Census personal form, see Sample copies of the 2021 Census paper forms.
See also Household form and Form type (FTCP).
Place of enumeration
The place of enumeration is the place at which the person is counted on Census Night, which may not be where they usually live.
The population count for place of enumeration is a count of every person, who spends Census Night in Australia, based on where the person is counted. It includes people on board vessels in or between Australian ports, or on long-distance trains, buses, or aircraft. This count is also known as a de facto population count.
People entering Australia from overseas before midnight on Census Night are counted where they stayed on Census Night. Visitors to Australia are counted regardless of how long they have been in the country or how long they plan to stay. Australian residents in Antarctica are also within the scope of the Census.
People leaving an Australian port for an overseas destination before midnight on Census Night are not counted in the Census. Australian residents out of the country on Census Night, and overseas diplomatic personnel and their families in Australia are out of the scope of the Census.
This type of count provides a snapshot of the population in any given area. Although the Census is timed to attempt to capture the typical situation, holiday resort areas, such as the Gold Coast and snow fields, may show a large enumeration count compared with the usual residence count.
See also Comparing Place of enumeration with Place of usual residence and Place of usual residence (PURP).
Post Census Review (PCR)
Since the 1966 Census, each Census has been followed by a Post Census Review Survey (PCR), conducted by specially trained interviewers. This is also known as a Post Enumeration Survey (PES). A sample of over 40,000 private dwellings is collected in the survey from all states and territories.
The main purpose of the PCR is to measure the extent of undercount and overcount in the Census. This is achieved by asking respondents where they were on Census night, and whether they were or might have been included on a Census form. At each of these addresses, their personal information is matched to any corresponding Census forms for these addresses to determine whether a person was counted, was counted more than once, or was not counted at all.
Results obtained in the PCR are used to adjust Census counts in the calculation of Estimated Resident Population (ERP) figures for Australia. The results also provide an assessment of the coverage of the Census and are used to inform improvements for future censuses.
See also Estimated Resident Population (ERP) and Undercount and/or underenumeration.
Post Enumeration Survey (PES)
The Post Enumeration Survey (PES), also known as the Post Census Review Survey (PCR), is a measure of the extent of undercount and overcount in the Census.
For more information, see Post Census Review (PCR).
See also Estimated Resident Population (ERP) and Undercount and/or underenumeration.
Q
Quality assurance
Quality assurance is a measure to ensure that the Census data is fit for purpose and that the data is not misleading. The ABS has a Data quality framework which ensures that the data is relevant, released in a timely manner, accurate, coherent, accessible, and easy to interpret. The Quality declaration details how the Census addresses each of these elements.
See also 2021 Census Statistical Independent Assurance Panel, Data processing, Managing Census Quality.
R
Recodes and user defined fields
If the tables available in standard Census products do not meet a user's needs, then user defined customised tables can be created. Customised tables often require the use of recodes, tailored to the user's requirements. Recodes re-group fields in a classification. More complex user defined fields are new fields that can be created based on conditions applied to existing fields. User defined fields can be created from two or more fields in a database or can consist of mathematical functions.
A recode example:
Standard Labour force status classification
1 Employed, worked full-time
2 Employed, worked part-time
3 Employed, away from work
4 Unemployed, looking for full-time work
5 Unemployed, looking for part-time work
6 Not in the labour force
& Not stated
@ Not applicable
V Overseas visitor
Recoded Labour Force Classification
1 Employed
2 Unemployed
3 Not in the labour force
& Not stated
Explanation:
The recoded Labour Force Classification was recoded by:
- Grouping all employed persons (codes 1, 2 and 3) to be one item called Employed
- Grouping unemployed persons (codes 4 and 5) to be one item called Unemployed
- Including Not in the labour force (code 6) and Not stated (code &) as single items
- Excluding Not applicable and Overseas visitors from the recode.
This recode can now be used with other standard or recoded classifications.
A User Defined Field example:
- Selecting Registered Nurse from the Occupation classification
- Creating a recode for age by grouping ages 25-40.
These two selections can be combined using a User Defined Field function and labelling this as 'Registered Nurses aged 25-40 years'. This could then be used in creating a variety of tables about this group.
Reference person/Person 1
A reference person is usually Person 1 on the Census form and forms the basis of a statistical family. Other household members are linked to the reference person to build the relationships within the household. Sometimes we need to allocate the reference person to a different household member to preserve the data quality of the relationship or family.
The reference person must be:
- at least 15 years of age
- a usual resident of the household
- at home on Census Night.
See also Understanding Family composition and Grandparent families.
Response rate
Dwellings, people, and item response rates are internationally recognised measures that indicate the quality of Census data. Response rates give an overall indication of the number of responses to the Census, while item response rates are an indicator of a response to specific questions. For more information on response rates and item response, please see Census form and Understanding data quality.
The dwelling response rate measures the number of private dwellings that returned a completed Census form, as a proportion of all private dwellings believed to be occupied on Census Night.
The person response rate measures how many people are included on a returned Census form as a proportion of all people (responding and non-responding) in Australia on Census Night.
See also 2021 Census methodology.
S
Same-sex couple
Two persons of the same sex who report a de facto or married partnership in the relationship question, and who are usually resident in the same household, are a same-sex couple.
See also Marital status, Relationship as reported for couples (RLCP) and Relationship in household (RLHP).
Second generation Australians
Second generation Australians are Australian-born people living in Australia, with at least one parent born overseas.
See also Country of birth of person (BPLP), Country of birth of parents (BPPP), Understanding Migrant statistics in the Census and other data sources and Understanding and using Ancestry data.
Self-enumeration
Self-enumeration is the term used to describe the way Census data is collected. The Census forms are generally completed by householders (or individuals in non-private dwellings) rather than by interviewers, although interviewers are available in some areas.
Socio-Economic Index for Areas (SEIFA)
Socio-Economic Indexes for Areas (SEIFA) is an ABS product that ranks areas in Australia according to relative socio-economic advantage and disadvantage. The indexes are based on information from the Census.
SEIFA consists of four indexes: the Index of Relative Socio-economic Disadvantage (IRSD); the Index of Relative Socio-economic Advantage and Disadvantage (IRSAD); the Index of Education and Occupation (IEO); the Index of Economic Resources (IER).
Each index is a summary of a different subset of Census variables and focuses on a different aspect of socio-economic advantage and disadvantage.
Special purpose codes
Special purpose codes allow address data to be coded to a non-spatial value. This occurs where there is insufficient information to code to a physical geographic area. For example, responses with no fixed address or instances of incomplete location information.
Special purpose codes have been created for each hierarchical level within the Australian Statistical Geography Standard (ASGS) Main Structure. These codes are not spatial. They do not have a region associated with them in the various ASGS digital boundary sets.
In the Main Structure, special purpose codes relate to States/Territories, SA4s, SA3s, SA2s and SA1s. They are also included in other ASGS areas such as Greater Capital City Statistical Area (GCCSA) and in Non-ABS structures.
For more information, refer to the Australian Statistical Geography Standard (ASGS).
Special short form
The Special short form is used in most areas of Australia to enumerate people who are sleeping rough. It is in paper format only and field staff use it to interview this population group. It records details for one person only and contains a small subset (10) of the same questions as the Census household form.
To view a PDF version of the Special Short form, see Sample copies of the 2021 Census paper forms.
See also, Homelessness enumeration, Household form and Improvised home.
Step child
In a couple family, a step child is a child who is either the natural child of one partner but not of the other, or who was reported as being the step child of both parents. As a consequence of relationship breakdown or the death of a spouse, some one parent families may also have children reported as step children.
In practice, a person is considered a step child if the response 'step' is given for that person, regardless of the individual's dependency status.
See also Child, Child type (CTPP) and Relationship in household (RLHP).
Supplementary codes
Most variables in the Census Dictionary have supplementary codes and categories. We use supplementary codes to code responses that do not fit into the main categories.
They include:
- Not stated
- Not applicable
- Overseas visitor
- Inadequately described
- So described
- Not further defined (nfd)
- Not elsewhere classified (nec)
For further explanation of the supplementary codes, see Understanding supplementary codes in Census variables.
T
Temporarily absent
The Census form seeks information about people who usually reside in a dwelling but who are temporarily absent on Census Night. Coders use the following temporary absentees in determining household and family classifications:
- partners
- children
- co-tenants or unrelated flatmates (used to classify group households).
The only information gathered on temporarily absent persons are name, sex, age, Aboriginal and/or Torres Strait Islander origin, person's relationship in household and whether the person is a full-time student. This information is used to assist in family coding. All other information for persons temporarily absent and in Australia on Census Night, should have been obtained at their place of enumeration. However, this information is not able to be related back to this dwelling.
See also Child, Household, Partner and Persons temporarily absent.
Third-plus generation Australians
Third-plus generation Australians are Australian-born people whose parents were both born in Australia. One or more of their grandparents may have been born overseas or they may have several generations of ancestors born in Australia.
See also Country of birth of person (BPLP), Country of birth of parents (BPPP), Understanding Migrant statistics in the Census and other data sources and Understanding and using Ancestry data.
U
Undercount and/or underenumeration
Although extensive efforts are made to contact all occupied dwellings and count all unoccupied private dwellings in the Census, locating and contacting them all is not possible. Some dwellings may not be identified. For example, flats above or behind shops or attached to private dwellings may not be included in the Census. Analysis of the undercount in previous censuses has shown that people away from their usual residence on Census Night (for example, travelling, camping, staying in a non-private dwelling, or visiting friends) are more likely to be missed than people at home on Census Night.
Even when a household is contacted, undercount is possible if not all members of the household can be included on the form (six people can be recorded on the paper form and 25 on the online form), and no extra online or paper forms are obtained. Undercount is also possible if the household, or a member of the household, fails to complete a Census form.
A measure of the extent of underenumeration is obtained from the Post Census Review (PCR) (also known as the Post Enumeration Survey (PES)). The official population estimates produced by the ABS take into account the results of the PCR. However, the Census counts are not adjusted.
See also 2021 Census overcount and undercount, Estimated Resident Population (ERP) and Post Census Review (PCR).
Unemployed
Unemployed persons are defined as all those of working age who:
- were not in employment
- carried out activities to seek employment during a specified recent period
- were currently available to take up employment given a job opportunity.
Unit record file
The unit record file (URF) is a sequence of records held on computer files. It holds coded data for all the person, family and dwelling characteristics in each Statistical area level 1 (SA1) as collected in the Census. It is the original source of all Census products. It excludes records for persons listed as temporarily absent, as their details will have been recorded at their place of enumeration on Census Night (if they were not overseas).
Census data are stored in a hierarchy of records for each dwelling. Each dwelling may contain a number of family records. Each of these, in turn, may contain a number of person records. When using household or family data it is necessary to recognise these three levels and understand the concepts at each level.
The three levels are indicated by the last character in the mnemonic for each variable. Dwelling level variables are indicated by D, family level by F, and person level by P.
The URF is held under strict security and is only accessible by certain ABS officers.
See also Data processing and Mnemonics.
Unrelated individual living in a family household
A person who lives in a family household, but who is not related to any person in any of the families in the household.
See also Relationship in household (RLHP).
Usual residence
Usual residence data provides information on the usually resident population of an area, and on the internal migration patterns at the state and regional levels. The 2021 Census has three questions on usual residence that ask where the person usually lives on Census Night, and where the person usually lived one year ago and five years ago. Usual address information is used to code usual residence. Population measures based on place of usual residence are also referred to as the de jure population.
See also Comparing Place of enumeration with Place of Usual Residence, Place of usual residence (PURP), Usual address indicator Census night (UAICP), Temporarily absent and Visitors to a household.
V
Visitors to a household
A visitor to a household is anyone who does not usually live in the household in which they were enumerated on Census Night. Characteristics of individual visitors to a household are available at the household of enumeration.
The relationship of visitors to one another, or to any resident (including cases where all the people enumerated are visitors) is not further classified.
Households containing only visitors are excluded from family variables, and the internal migration variables.
See also Family, Household, Internal migration, Place of enumeration and Usual residence.
Visitors to Australia
The question on the Census form, 'Where does the person usually live?' allows the identification of people who are usually resident in another country. These overseas visitors are identified as a separate category (coded as V) for all applicable variables.
For the 2006, 2011, 2016 and 2021 censuses, overseas visitors were those people who indicated they would be usually resident in Australia for less than a year.
Since the 1996 Census, overseas visitors have been separately categorised in standard tabulations, with the exception of Age (AGEP), Sex (SEXP) and Registered marital status (MSTP) tabulations.
Overseas visitors can be identified for AGEP, SEXP, and MSTP by cross-classifying with a variable which contains a separate overseas visitor category.
See also Place of enumeration and Place of usual residence (PURP).
W
Working population
The working population consists of all people who were employed in the week prior to Census night.
See also Labour force status (LFSP).
Downloads
2021 Census paper forms (available as PDF files)
2021 Census sample paper forms can be downloaded as PDF files.
To download, see Sample copies of the 2021 Census paper forms.
These forms include:
- 2021 Census Household form
- 2021 Census Personal form
- 2021 Census Interviewer household form
- 2021 Census Special short form
2021 Census household paper form (available as Excel file)
Download of the 2021 Census household paper form as an Excel spreadsheet.