TableBuilder: Work-related injuries
Enables detailed analysis of people who experienced a work-related illness or injury
This supporting publication provides information about the release of Work-Related Injuries (WRI) microdata from the 2017-18 Multi-Purpose Household Survey.
ABS microdata files allow flexible statistical analysis of unit records while also protecting the privacy of respondents. The WRI file includes details of people who experienced a work-related illness or injury in the 12 months prior to interview. It includes details of the illness or injury, the industry and occupation it occurred in, whether or not it was reported, and the source of any financial assistance received in relation to the illness or injury. Other demographic and labour market variables are also included.
Work-Related Injuries microdata is available as a TableBuilder product. TableBuilder allows clients to create, save and export tables and graphs; display counts, percentages and relative standard errors; create custom ranges from continuous variables and much more.
This publication provides general information and technical details about the WRI TableBuilder product. For more information on using TableBuilder, please refer to the User Manual: TableBuilder (cat. no. 1406.0.55.005).
Further information about the TableBuilder service, and other information to assist users in understanding and accessing microdata in general, is available from the Microdata Entry Page.
About the survey
The Multi-Purpose Household Survey (MPHS) is conducted each financial year throughout Australia from July to June as a supplement to the ABS's monthly Labour Force Survey (LFS) and is designed to provide annual statistics for a number of small, self-contained topics.
The WRI topic collected information about people aged 15 years and over who worked at some time in the last 12 months. The survey collected information about whether the person experienced a work-related injury or illness in the last 12 months and the following details about their most recent work-related injury or illness: whether they suffered the injury or illness in their current job or a previous job, the type of injury or illness experienced, how the injury or illness occurred, the number of days/shifts absent from work due to the injury or illness, sources of financial assistance, whether they applied for workers' compensation, and the reason they did not apply for workers' compensation. This information can be cross-classified with labour force characteristics, also including occupation and industry and demographics such as sex and age.
Estimates from the 2017-18 MPHS relating to the WRI topic, as well as more information on the methodology, survey sample, conceptual framework and definitions, were published in the 2017-18 summary publication, Work-Related Injuries, Australia (cat. no. 6324.0).
Further information about the survey and the microdata can be found in the various sections associated with this product, including:
- A detailed list of data items for WRI TableBuilder, available in the Data downloads section.
Data available on request
Data collected in the survey but not included in TableBuilder may be available from the ABS, on request, as statistics in tabulated form.
Subject to confidentiality and sampling variability constraints, special tabulations can be produced incorporating data items, populations and geographic areas selected to meet individual requirements. These are available, on request, on a fee for service basis. For more information, contact the ABS by visiting www.abs.gov.au/about/contact-us.
General information about the Work-Related Injuries (WRI) survey, including summary results, are available in the publication Work-Related Injuries, Australia (cat. no. 6324.0).
Detailed information about the survey including scope and coverage, survey design, data collection methodology, weighting, estimation and benchmarking, estimate reliability and a glossary can be accessed from the Methodology page of the publication. All published summary tables, in Excel spreadsheet format, can be accessed from the Data downloads section.
File structure and content
The Work-Related Injuries TableBuilder file reads approximately 28,000 confidentialised unit records. Each record holds the person-level data of a respondent to the survey. When analysing data from TableBuilder, person weights are automatically applied to the underlying sample counts to provide survey population estimates. Weights are values that indicate how many population units are represented by the sample unit. They align to independently estimated distributions of the population by age, sex, state/territory, part of state and labour force status.
At the person level the file contains general information about each survey respondent such as their age, sex, country of birth, labour force status, their personal income, the income of the household the person is a member of, as well as details specific to their most recent work-related injury or illness.
It is important to note that all the details on the TableBuilder file relate to a person. This includes household income variables which describe the income of the household in which the person resides, and applies that person's weight only (not a household weight). On this file, household income estimates should be interpreted as 'X number of people live in households with an income of Y' and should not be interpreted as 'X number of households have an income of Y'.
The data items included in the 2017-18 Work-Related Injuries TableBuilder are grouped under broad headings as shown in the image below. A complete data item list can be accessed from the Data downloads section of this publication. The population relevant to each data item should be considered when extracting and analysing data. The populations that apply to each data item are shown in the data item list.
For general instructions on how to use TableBuilder, please refer to the User Manual: TableBuilder (cat. no. 1406.0.55.005).
The WRI TableBuilder file contains income items as continuous variables. Where a valid response was not recorded for a person, their income items are allocated a special code (e.g. 99999998 = 'Not stated'). When using the summation options section to analyse income variables TableBuilder will automatically exclude these codes.
When analysing income variables in this particular file, it is important to note that all details relate to a person. This includes continuous household income variables which describe the income of the household in which the person resides, and applies that person's weight only (not a household weight). When using this file to examine continuous income variables, it is important to note that only a person weight is applied. Therefore, analysis of total gross household income will display the mean household income of people with selected characteristics, and not the mean household income of all houses with any characteristics.
For example, a table returning mean total gross household income estimates for NSW is showing the mean household income for people living in NSW, and not the mean household income for all households in NSW.
Household size and composition
Some inconsistencies may occur between the composition of the household and household size. The household size is determined by the scope rules for the LFS i.e. household members that are out of scope for the LFS are excluded from the calculation of household size (e.g. they are part of the defence forces, etc.). However, the out of scope persons are included when household composition is determined. The result of these definitional differences is that, for example, the household may be described as a group household (i.e. two or more persons) but the household size recorded on the file may be only one person (because the other household member(s) are out of scope for the LFS).
For some data items certain classification values have been reserved as special codes and must not be added as if they were quantitative values. For example, code 99 for the data item, 'Year of arrival in Australia (5 year ranges)', refers to 'Not stated/Inadequately described'.
Not applicable categories
Some data items included in the TableBuilder file include a not applicable category. The not applicable category generally represents people who were not asked a particular question or the number of people excluded from the population for a data item when that data was derived (e.g. Year of arrival in Australia is not applicable for people born in Australia). Due to system constraints, in some cases this category is included when it is not relevant. In these cases it will correctly return a zero value.
Zero value cells
Tables generated from sample surveys will sometimes contain cells with zero values because no respondents that satisfied the parameters of a particular cell in a table were in the survey. This can occur despite there being people in the general population with those characteristics. That is, the cell may have had a value above zero if all persons in scope of the survey had been enumerated. This is an example of sampling variability which occurs with all sample surveys. Relative standard errors cannot be generated for zero cells.
Multi-response data items
Some questions on the survey allow respondents to provide more than one response. These are referred to as 'multi–response data items'. An example of such a data item is shown below. Respondents may tell us that they reported their most recent work-related injury or illness to more than one person in the work place.
When a multiple response data item is tabulated, a person is counted against each response they have provided (e.g. a person who reported 'Colleague' and 'First Aid Officer' will be counted one time in each of these two categories).
As a result, each person in the appropriate population is counted at least once, and some persons are counted multiple times. Therefore, the sum of multi-response data items in the TableBuilder file will be greater than the population or the number of people applicable to that particular item. Multi–response data items can be identified by the initials 'MR' in the data item list, which can be accessed from the Data downloads section.
For more information to assist you to interpret results from TableBuilder, please refer to the User Manual: TableBuilder (cat. no. 1406.0.55.005). In particular, this includes information about confidentiality, relative standard errors, summation options and additivity.
For more information on definitions and concepts that apply to the data items in this file, please refer to Work-Related Injuries, Australia (cat. no. 6324.0) and Labour Force, Australia (cat. no. 6202.0).
WRI 2017-18 data item list
Previous catalogue number
This release previously used catalogue number 6324.0.30.001.