Cultural and creative activities methodology

Latest release
Reference period
2021-22 financial year
Released
21/04/2023
Next release Unknown
First release

Overview

This publication contains results from the Cultural Participation and Attendance Survey, a topic on the Multipurpose Household Survey (MPHS) conducted throughout Australia from July 2021 to June 2022. The MPHS, undertaken each financial year by the Australian Bureau of Statistics (ABS), is a supplement to the monthly Labour Force Survey (LFS) and is designed to collect statistics for a number of small, self-contained topics.

The survey collected information from people about:

  • their attendance at selected cultural venues and events in the past 12 months, including libraries and archives, art galleries, museums, cinemas, live music concerts, theatre, dance and other performing arts
  • their participation in selected cultural activities in the past 12 months, including performing arts, singing or playing a musical instrument, dancing, writing, visual art activities and craft activities
  • whether they volunteered or received income as part of their participation in the past 12 months.

This publication also presents information about:

  • characteristics of participants
  • frequency of cultural engagement for the 12 months prior to the interview
  • labour force characteristics, education, income and other demographics.

The questions asked are in respect to the previous 12-month period at the time of interview. As a result, the reference period for the Cultural Activities 2021-22 data spans from July 2020 to June 2022.  

Statistics in this release may have been impacted by the COVID-19 pandemic. During the enumeration of the Cultural Participation and Attendance Survey 2021-22, several initiatives were in place around Australia to help reduce the spread of COVID-19. These included:

  • Australian Government closure of the international border, which ceased on 1 November 2021
  • border control measures between states and territories
  • capacity limits and various social distancing rules in venues and businesses
  • periodic state-wide and regional lockdowns and accompanying closure of non-essential businesses and services
  • isolation periods for COVID-19 positive cases and close contacts.

The survey was collected on behalf of the arts and culture ministers across Australia, represented by the Cultural and Creative Statistics Working Group (CCSWG), who provided the funding.

Data collection

Scope

The scope of the survey included both children aged 5-14 year and people aged 15 years and over who were usual residents of private dwellings and excludes:

  • members of the Australian permanent defence forces
  • certain diplomatic personnel of overseas governments, customarily excluded from Census and estimated resident population counts
  • overseas residents in Australia
  • members of non-Australian defence forces (and their dependants)
  • persons living in non-private dwellings such as hotels, university residences, boarding schools, hospitals, nursing homes, homes for people with disabilities, and prisons
  • persons resident in the Indigenous Community Strata (ICS).

The scope for MPHS included households residing in urban, rural, remote and very remote parts of Australia, except the ICS.

Coverage

In the LFS, rules are applied which aim to ensure that each person in scope is associated with only one dwelling, and hence has only one chance of selection in the survey. See Labour Force, Australia for more detail.

Sample size

Information was collected from 23,949 fully responding persons. This includes 386 proxy interviews for people aged 15 to 17 years, where permission was not given by a parent or guardian for a personal interview. Information was also collected for 5,880 children aged 5-14 years from parents or guardians in the survey.

Collection method

The survey is one of a number of small, self-contained topics on the MPHS.

Each month, one eighth of the dwellings in the LFS sample were rotated out of the survey and selected for the MPHS. After the LFS had been fully completed for each person in scope and coverage, a usual resident aged 15 years or over was selected at random (based on a computer algorithm) and asked the additional MPHS questions in a personal interview. 

In the MPHS, if the randomly selected person was aged 15 to 17 years, permission was sought from a parent or guardian before conducting the interview. If permission was not given, the parent or guardian was asked the questions on behalf of the 15 to 17 year old (proxy interview).

If the randomly selected person was aged 18 years or over, they were asked additional questions to determine whether they were a parent or guardian for any children 5-14 years who were usual residents of the household. If the respondent was a parent or guardian they were asked questions about cultural participation and attendance for up to two of their children aged 5-14 years. Children in scope were randomly selected based on a computer algorithm at the time of interview.

Data were collected using Computer Assisted Interviewing (CAI), whereby responses were recorded directly onto an electronic questionnaire in a notebook computer, with interviews conducted over the telephone. 

Processing the data

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Estimation methods

Survey estimates of counts of persons are obtained by summing the weights of persons with the characteristic of interest.

Weighting

Weighting is the process of adjusting results from a sample survey to infer results for the total 'in-scope' population. To do this, a 'weight' is allocated to each enumerated person. The weight is a value which indicates the number of persons in the population represented by the sample person.

The first step in calculating weights for each unit is to assign an initial weight, which is the inverse of the probability of being selected in the survey. For example, if the probability of a person being selected in the survey was 1 in 600, then the person would have an initial weight of 600 (that is, they represent 600 people).

Benchmarks

The initial weights were calibrated to align with independent estimates of the population of interest, referred to as 'benchmarks'. Weights calibrated against population benchmarks ensure that the survey estimates conform to the independently estimated distribution of the population rather than the distribution within the sample itself. Calibration to population benchmarks helps to compensate for over or under-enumeration of particular categories of persons/households which may occur due to either the random nature of sampling or non-response.

The survey was benchmarked to the Estimated Resident Population (ERP) living in private dwellings in each state and territory at December 2021. People living in Indigenous communities were excluded. These benchmarks are based on the 2021 Census.

While LFS benchmarks are revised every 5 years, to take into account the outcome of the 5-yearly rebasing of the ERP following the latest Census, the supplementary surveys and MPHS (from which the statistics in this publication are taken) are not. Small differences will therefore exist between the civilian population aged 15 years and over reflected in the LFS and other labour household surveys estimates, as well as over time. If comparisons are being made over time then proportions should be used rather than estimates of persons.

Reliability of the estimates

The estimates in this publication are based on information obtained from a sample survey. Any data collection may encounter factors, known as non-sampling error, which can impact on the reliability of the resulting statistics. In addition, the reliability of estimates based on sample surveys are also subject to sampling variability. That is, the estimates may differ from those that would have been produced had all persons in the population been included in the survey. This is known as sampling error.

Non-sampling error

Non-sampling error is caused by factors other than those related to sample selection. It is any factor that results in the data values not accurately reflecting the true value of the population.

It can occur at any stage throughout the survey process. Examples include:

  • selected people that do not respond (e.g. refusals, non-contact) 
  • questions being misunderstood
  • responses being incorrectly recorded
  • errors in coding or processing the survey data.

Sampling error

Sampling error is the expected difference that can occur between the published estimates and the value that would have been produced if the whole population had been surveyed. Sampling error is the result of random variation and can be estimated using measures of variance in the data.

Standard error

One measure of sampling error is the standard error (SE). There are about two chances in three that an estimate will differ by less than one SE from the figure that would have been obtained if the whole population had been included. There are about 19 chances in 20 that an estimate will differ by less than two SEs.

Measures of error in this publication

This publication reports the relative standard error (RSE) for estimates of counts ('000) and the margin of error (MOE) for estimates of proportions (%).

Relative standard error

The relative standard error (RSE) is obtained by expressing the standard error as a percentage of the estimate.

\(R S E \%=\left(\frac{S E}{e s t i m a t e}\right) \times 100\)

Only estimates with RSEs less than 25% are considered reliable for most purposes. Estimates with larger RSEs, between 25% and less than 50% have been included in the publication, but are flagged to indicate that they should be used with caution. Estimates with RSEs of 50% or more have also been flagged and are considered unreliable for most purposes. RSEs for these estimates are not published.

Margin of error

The Margin of Error (MOE) shows the largest possible distance (due to sampling error) that could exist between the estimate and what would have been produced had all people been included in the survey, at a given level of confidence. It is useful for understanding and comparing the accuracy of proportion estimates. Confidence levels can vary (e.g. typically 90%, 95% or 99%), but in this publication, all MOEs are provided for estimates at the 95% confidence level. At this level, there are 19 chances in 20 that the estimate will differ from the population value by less than the provided MOE.

The 95% confidence level MOE is obtained by multiplying the standard error by 1.96.

\(M O E=S E \times 1.96\)

The RSE can also be used to directly calculate a 95% MOE by: 

\(M O E=\Large\frac{R S E \% \times e s t i m a t e \times 1.96}{100}\)

These can be converted to a 90% confidence level by multiplying the MOE by:

\(\Large\frac{1.615}{1.96}\)

or to a 99% confidence level by multiplying the MOE by:

\(\Large\frac{2.576}{1.96} \)

Depending on how the estimate is to be used, a MOE greater than 10% may be considered too large to inform decisions. For example, a proportion of 15% with a MOE of plus or minus 11% would mean the proportion could be anything from 4% to 26%. It is important to consider this range when using the estimates to make assertions about the population.

Confidence Intervals

The estimate combined with the MOE defines a range, known as a confidence interval. This range is likely to include the true population value with a given level of confidence. A confidence interval is calculated by taking the estimate plus or minus the MOE of that estimate. It is important to consider this range when using the estimates to make assertions about the population or to inform decisions. Because MOEs in this publication are provided at the 95% confidence level, a 95% confidence interval can be calculated around the estimate, as follows:

\(95 \% \text { Confidence Interval }=(\text {estimate}-M O E, \text { estimate }+M O E)\)

Calculating measures of error

Proportions and percentages formed from the ratio of two estimates are also subject to sampling errors. The size of the error depends on the accuracy of both the numerator and the denominator. A formula to approximate the RSE of a proportion is given below. This formula is only valid when the numerator (x) is a subset of the denominator (y):

\({RSE}\left(\frac{x}{y}\right) \approx \sqrt{[R S E(x)]^{2}-[R S E(y)]^{2}}\)

When calculating measures of error, it may be useful to convert RSE or MOE to SE. This allows the use of standard formulas involving the SE. The SE can be obtained from RSE or MOE using the following formulas:

\(S E(y)=\frac{R S E(y) \times y}{100}\)

\(S E=\Large\frac{M O E}{1.96}\)

Calculating differences

The difference between two survey estimates (counts or percentages) can also be calculated from published estimates. Such an estimate is also subject to sampling error. The sampling error of the difference between two estimates depends on their SEs and the relationship (correlation) between them. An approximate SE of the difference between two estimates (x-y) may be calculated by the following formula:

\(S E(x-y) \approx \sqrt{[S E(x)]^{2}+[S E(y)]^{2}}\)

While this formula will only be exact for differences between separate and uncorrelated characteristics or sub populations, it provides a good approximation for the differences likely to be of interest in this publication.

Significance testing

When comparing estimates between surveys or between populations within a survey, it is useful to determine whether apparent differences are 'real' differences or simply the product of differences between the survey samples. 

One way to examine this is to determine whether the difference between the estimates is statistically significant. This is done by calculating the standard error of the difference between two estimates (x and y) and using that to calculate the test statistic using the formula below: 

\(\left(\frac{|x-y|}{S E(x-y)}\right)\)

where:

\(S E(y)=\frac{R S E(y) \times y}{100}\)

If the value of this test statistic is greater than 1.96 we can say there is good evidence of a statistically significant difference at 95% confidence levels between the two populations with respect to that characteristic. Otherwise, it cannot be stated with confidence that there is a real difference between the populations.

Data quality

Information recorded in this survey is 'as reported' by respondents, and may differ from that which might be obtained from other sources or via other methodologies. This factor should be considered when interpreting the data in this publication.

Classifications

Country of birth

Country of birth data are classified according to the Standard Australian Classification of Countries (SACC), 2016. 

Education

Education data are coded to the Australian Standard Classification of Education (ASCED), 2001. The ASCED is a national standard classification which can be applied to all sectors of the Australian education system including schools, vocational education and training and higher education. The ASCED comprises two classifications: Level of Education and Field of Education.

Industry

Industry data are classified according to the Australian and New Zealand Standard Industrial Classification (ANZSIC), 2006 (Revision 2.0). 

Socio-economic Indexes for Areas (SEIFA)

This survey uses the 2016 Socio-economic Indexes for Areas (SEIFA).  

SEIFA is a suite of four summary measures that have been created from 2016 Census information. Each index summarises a different aspect of the socio-economic conditions of people living in an area. The indexes provide more general measures of socio-economic status than is given by measures such as income or unemployment alone.

For each index, every geographic area in Australia is given a SEIFA number which shows how disadvantaged that area is compared with other areas in Australia.

The index used in this publication is the Index of Relative Socio-economic Disadvantage, derived from Census variables related to disadvantage such as low income, low educational attainment, unemployment, jobs in relatively unskilled occupations and dwellings without motor vehicles.

SEIFA uses a broad definition of relative socio-economic disadvantage in terms of people's access to material and social resources, and their ability to participate in society. While SEIFA represents an average of all people living in an area, it does not represent the individual situation of each person. Larger areas are more likely to have greater diversity of people and households.

For more detail and for the SEIFA 2016 Technical paper (under Downloads) go to Census of Population and Housing: Socio-Economic Indexes for Areas (SEIFA), Australia, 2016.

Comparing the data

Comparability of Time Series

2017-18 data for this topic has been previously published in Participation in Selected Cultural Activities and Attendance at Selected Cultural Venues and Events.

As similar methodology has been adopted for the surveys, data on the attendance and participation rates of selected cultural activities is comparable between 2021-22 and 2017-18.

The only difference between the two surveys was the separation of photography from film-making, in the Participation topic.  ‘Photography, film-making or editing’ was changed to two data items in ‘Photography’ and ‘Film making or editing’. The subtotal of Total visual arts activities remains comparable.

Comparability to monthly LFS Statistics

Since the survey is conducted as a supplement to the LFS, data items collected in the LFS are also available in this publication. However, there are some important differences between the two surveys. The scope of the Cultural Participation and Attendance Survey and the LFS differ (refer to the Scope section above). Due to the differences between the samples, data from this survey and the LFS are weighted separately. Differences may therefore be found in the estimates for those data items collected in the LFS and published as part of Cultural and creative activities.

Data Release

Data cubes/spreadsheets

Data cubes containing all tables for this publication in Excel spreadsheet format are available from the Data downloads section of the main publication. The spreadsheets present tables of estimates and proportions, and their corresponding relative standard errors (RSEs) and Margins of Error (MOEs).

As well as the statistics included in this and related publications, the ABS may be able to provide other relevant data on request. Subject to confidentiality and sampling variability constraints, tables can be tailored to individual requirements for a fee. A list of data items from this survey is available from the Data downloads section. For inquiries about these and related statistics, contact the Customer Assistance Service via the ABS website Contact Us page.

TableBuilder

For users who wish to undertake more detailed analysis of the data, the survey microdata will be released through the TableBuilder product. Microdata can be used by approved users to produce customised tables and analysis from the survey data. Microdata products are designed to ensure the integrity of the data whilst maintaining the confidentiality of the respondents to the survey. More information can be found at TableBuilder.

Confidentiality

To minimise the risk of identifying individuals in aggregate statistics, a technique is used to randomly adjust cell values. This technique is called perturbation. Perturbation involves a small random adjustment of the statistics and is considered the most satisfactory technique for avoiding the release of identifiable statistics while maximising the range of information that can be released. These adjustments have a negligible impact on the underlying pattern of the statistics. After perturbation, a given published cell value will be consistent across all tables. However, adding up cell values to derive a total will not necessarily give the same result as published totals. The introduction of perturbation in publications ensures that these statistics are consistent with statistics released via services such as TableBuilder.

Glossary

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Archives

Respondents were asked whether they had been to any libraries or archives in the last 12 months. See entry for Libraries and archives for more information.

Art galleries

Respondents were asked whether they had been to any public art galleries in the last 12 months. If the respondent asked for clarification, they were advised to include national and state art galleries, regional art galleries, art museums and visits for the sole purpose of going to an on-site gallery shop. They were also advised to exclude instances where the viewing of a display or collection by chance rather than intention, attending a commercial outlet where works are exhibited for sale, and where the sole purpose of the visit was to go to a cafe, restaurant or toilet or to attend a product launch.

Attendance rate

For any group, this is calculated by expressing the number of people who attended a venue or event at least once during the year as a percentage of the total corresponding population. The total adult attendance rate is the number of people aged 15 and over who attended a venue or event at least once during the year expressed as a percentage of the total population aged 15 years and over. For children, the total children's attendance rate is the number of children aged 5-14 years who attended a venue or event at least once during the year expressed as a percentage of the total population of children aged 5-14 years.

Child attendance

Respondents were asked about their selected children's attendance at selected cultural venues or events outside of school hours in the 12 months preceding the interview. Outside school hours is defined as the period outside the hours of 9am to 3pm or the hours prescribed by the school, kindergarten/pre-school or home-school. Included were visits while at after-school care, weekends and public holidays. Attendance during lunchtimes on school days was excluded.

Cinemas and drive-ins

Respondents were asked whether they had been to a cinema or drive-in in the last 12 months. If the respondent asked for clarification they were advised to include public screenings of films at other locations (e.g. at a library or park); and to exclude movies viewed on public transport such as in-flight movies. The terms 'going to the movies' and 'attending a cinema' used in the publication refer to attending a cinema or drive-in.

Couple family with dependent children

A household consisting of a couple and at least one dependent child usually resident in the household. Related non-dependent children may also be present in the household. Households which also have other related or unrelated residents are included.

Creative activity (children)

Includes participation in drama activities, singing, playing a musical instrument, dancing, art and craft, creative writing and creating digital content. Excludes participation in screen- based activities and reading for pleasure.

Cultural activity (adults)

A cultural activity has been defined as an activity in which a person has participated, which has not been done for secondary or tertiary studies. Respondents were asked whether they participated in each of the selected cultural activities listed below, in the 12 months before interview:

  • drama, comedy, musical or variety act (including acting on stage and film, street theatre, stand-up comedy, opera, cabaret, circus performances and rehearsals and classes)
  • singing or playing a musical instrument as a soloist or as part of a band, choir or orchestra (including singing or playing in a public forum with an audience, such as a church choir, performing at an aged care facility or retirement home. Also included is practicing and having lessons. Excludes informal or impromptu singing around the home or karaoke)
  • dancing, including rehearsals or classes (including dancing for which the respondent has practised or taken lessons. Excludes dancing for another performance such as singing in a band and informal or impromptu dancing such as at weddings or nightclubs)
  • writing song lyrics or mixing or composing music, including digital composition
  • writing any fiction or non–fiction such as stories, poetry, scripts or blogs
  • visual art activities such as painting, drawing or sculpting (including face and body painting, cartooning, digital art pieces, tattooing, printmaking, screen printing and etching)
  • craft activities (including knitting, embroidery, cross stitch, tapestries, quilting, applique, dressmaking or tailoring, jewellery making, beading, scrapbooking, card making, collage, wood crafts, pottery, ceramics and mosaics. Respondents were asked to exclude mending, repairing and maintenance for clothing and wood craft)
  • photography, apart from personal events
  • film–making or editing, apart from personal events (excluding acting in a film, scriptwriting and use of video or DVD as a tool in another activity)
  • designing websites, computer games or interactive software
  • fashion, interior or graphic design (excluding home DIY projects).

Cultural activity (children)

A cultural activity has been defined as an activity in which a child has participated in outside of school hours. Outside school hours is defined as the period outside the hours of 9am to 3pm or the hours prescribed by the school, kindergarten/pre-school or home-school. Included were visits while at after-school care, weekends and public holidays. Attendance during lunchtimes on school days was excluded. Respondents were asked whether their selected children participated in each of the selected cultural activities listed below, in the 12 months before interview:

  • drama activities, including practicing, having lessons and giving performances (including acting on stage or film, street theatre, comedy and circus acts)
  • singing or playing a musical instrument, including practicing, having lessons and giving performances (including singing or playing in a public forum with an audience, such as a church choir, performing at an aged care facility or retirement home and activities undertaken while at out of school hours care. Excludes informal or impromptu singing around the home)
  • dancing, including practicing, having lessons and giving performances (including activities undertaken while at out of school hours care. Excludes informal or impromptu dancing around the home)
  • art and craft activities (including art and craft activities undertaken at home, after school art classes, private art lessons, craft groups, participating in art/craft workshops, participating in school holiday programs at an art gallery, workshops complementing professional companies' performances for children such as puppet or lantern making)
  • creative writing, including stories, poetry, scripts or blogs
  • creating digital content such as websites, images, videos or games
  • screen based activities such as watching TV, using the Internet or playing screen based games (including playing games on consoles and activities via smart phones or tablets)
  • reading for pleasure (including reading magazines, newspapers, comics, eBooks, and where a child requires assistance to read).

Dance performances

Respondents were asked whether they had been to any dance performances in the last 12 months. If the respondent asked for clarification they were advised to include ballet, contemporary dance, exhibitions of folk/ethnic dance, dance theatre, calisthenics and dance sports, performances for dance-based television shows, and attending a live performance simulcast; and to exclude eisteddfods, revue on ice/icecapades, primary and secondary school performances, and performances viewed online, via the internet or TV.

Deciles

Groupings that result from ranking all households or persons in the population in ascending order according to some characteristic such as their household income and then dividing the population into 10 equal groups, each comprising 10% of the estimated population.

Dependent children

All persons aged under 15 years; and people aged 15-24 years who are full-time students, have a parent in the household and do not have a partner or child of their own in the household.

Employed

All persons aged 15 years and over who, during the reference week:

  • worked for one hour or more for pay, profit, commission or payment in kind in a job or business, or on a farm (comprising employees, employers and own account workers)
  • worked for one hour or more without pay in a family business or on a farm (i.e. contributing family workers)
  • were employees who had a job but were not at work and were:
    • on workers' compensation and expected to return to their job
    • on strike or locked out
    • away from work as a standard work or shift arrangement
    • away from work for more than four weeks up to the end of the reference week and received pay for some or all of the four week period to the end of the reference week
    • away from work for less than four weeks up to the end of the reference week
  • were employers or own account workers, who had a job, business or farm, but were not at work.

Equivalised household income

Equivalising adjusts actual income to take into account the different needs of the households of different sizes and compositions. There are economic advantages associated with living with others, because household resources, especially housing, can be shared. The equivalence scale used to obtain equivalised income is that used in studies by the Organisation for Economic Co-operation and Development (OECD) and is referred to as the 'modified OECD scale'. The scale gives a weight of 1.0 to the first adult in the household, a weight of 0.5 for each additional adult (persons aged 15 years and over) and a weight of 0.3 for every child. For each household, the weights of the household members are added together to form a household weight. Total household income is then divided by the household weight to give an income that a lone person household would need for a similar standard of living. Equivalised household income can be viewed as an indicator of the economic resources available to each member of the household.

Frequency of involvement

This refers to the average number of hours per week and the number of weeks in the 12 months before interview during which a person participated in a cultural activity.

Full-time employed

Includes employed persons who usually worked 35 hours or more a week (in all jobs) and those who, although usually working less than 35 hours a week, worked 35 hours or more during the reference week.

Highest educational attainment

The highest achievement a person has attained in any area of study. It is not a measurement of the relative importance of different fields of study but a ranking of qualifications and other educational attainments regardless of the particular area of study or the type of institution in which the study was undertaken. It is categorised according to the Australian Standard Classification of Education, 2001 Level of education classification.

Income

Income consists of all current receipts, whether monetary or in kind, that are received by the household or by individual members of the household, and which are available for, or intended to support, current consumption.

Income includes receipts from:

  • wages and salaries and other receipts from employment (whether from an employer or own incorporated enterprise), including income provided as part of salary sacrificed and/or salary package arrangements
  • profit/loss from own unincorporated business (including partnerships)
  • net investment income (interest, rent, dividends, royalties)
  • government pensions and allowances
  • private transfers (e.g. superannuation, workers' compensation, income from annuities, child support, and financial support received from family members not living in the same household).


Gross income is the sum of the income from all these sources before income tax, the Medicare levy and the Medicare levy surcharge are deducted. Other measures of income are Disposable income and Equivalised disposable household income.

Note that child support and other transfers from other households are not deducted from the incomes of the households making the transfers.

Index of Relative Socio-economic Disadvantage

This is one of four Socio-Economic Indexes for Areas (SEIFAs) compiled by the ABS following each Census of Population and Housing. This index summarises attributes such as low income, low educational attainment, unemployment, jobs in relatively unskilled occupations and dwellings without motor vehicles. The first or lowest quintile refers to the most disadvantaged areas, while the fifth or highest quintile refers to the least disadvantaged areas.

Labour force status

A classification of the civilian population aged 15 years and over into employed, unemployed or not in the labour force, as defined. The definitions conform closely to the international standard definitions adopted by the International Conferences of Labour Statisticians.

Libraries and archives

Respondents were asked whether they had made use of a library or archive in the last 12 months. Libraries located in educational institutions are excluded from this category. If the respondent asked for clarification they were advised to exclude visits to libraries if the primary purpose was to go to a cafe, restaurant or toilet; or if the library or archive was accessed over the internet only. If the respondent asked for clarification they were advised to include:

  • use of libraries to borrow books/magazines/videos/CDs and/or to read, watch and listen to them while visiting the library
  • Visiting a library to attend story-time and similar sessions
  • joint-use or school and community libraries where the purpose of the visit was not to study
  • travelling/mobile local or council libraries
  • use of computers, the Internet & photocopiers, etc. at the library
  • if the sole purpose of the visit is to go to an on-site shop
  • National Archives of Australia or one of their reading rooms
  • National Film and Sound Archive or one of their access centres, and
  • archives specific to the respondents state or territory of residence.

Live music concert or performance

Respondents were asked whether they had been to any live music concerts or performances in the last 12 months. If the respondent asked for clarification they were advised to include rock, pop, jazz, country or folk performances, classical music concerts, music performances at a club, pub or cafe where the main intention was to see a music performance, symphony, philharmonic, youth and theatre orchestra concerts, chamber music concerts, choral or solo recitals, concerts 'in the park', and performing disc jockeys where the respondent considered that the DJ performance included a creative component. Also included were watching the taping of popular music-based television shows and attending live performance simulcasts. They were also advised to exclude opera and operettas, primary or secondary school productions, busking, parades and demonstrations, sports events, and performances viewed online, via the internet or TV.

Museums

Respondents were asked whether they had been to any museums in the last 12 months. If the respondent asked for clarification they were advised to include national and state museums; local history museums; science and technology museums; military, maritime and war museums; natural history museums; geological and mining museums; anthropology and archaeology museums; transport or industrial museums; historical theme parks and historical houses that display artefacts/museum objects; and visits to any museum if the sole purpose was to go to an on-site museum shop. They were also advised to exclude art museums and galleries and visits to museums if the primary purpose was to go to a cafe, restaurant or toilets or to attend a product launch.

Musicals and operas

Respondents were asked whether they had been to any musicals or any operas in the last 12 months. If the respondent asked for clarification they were advised to include operettas and attendance at a live performance simulcast, and to exclude instrumental music performances, primary or secondary school productions and performances viewed online, via the internet or TV.

Non-dependent children

All persons aged 15 years or over (except those aged 15-24 years who are full-time students) who have a parent in the household and do not have a partner or child of their own in the household.

Not in labour force

Persons who were not in the categories employed or unemployed as defined.

One-parent family with dependent children

A household consisting of a lone parent and at least one dependent child usually resident in the household. Related non-dependent children may also be present in the household. Households which also have other related or unrelated residents are included.

Other households

Comprises all households not otherwise defined, including multiple family households.

Other performing arts

Respondents were asked whether they had been to any other performing arts (excluding music concerts, operas, musicals, theatre and dance performances) in the last 12 months. If the respondent asked for clarification they were advised to include acrobats, cabaret performances, comedy acts and festivals, tattoos (e.g. military or police tattoos), watching television recordings not included in other categories, attending live simulcasts not included in other categories. Respondents were also advised to include any other performing art not included in other categories (such as magicians). They were also asked to exclude performances viewed online, via the internet or TV that were not included in other categories.

Received income

Participation in any of the selected cultural activities for which people received a wage or salary (including from a person's own incorporated business), received income from their own unincorporated business or partnership, worked on commission, received payment by the piece or item produced, or received any other form of income. Payment also includes the provision of goods and services (i.e. payment in kind). Wages and salaries exclude dividends from shares in an incorporated business and Newstart or Youth Allowance received under the Work for the Dole Scheme.

Participation rate

For any group, this is the number of people participating in the selected cultural activities, expressed as a percentage of the population in the same group.

Part-time employed

Includes employed persons who usually worked less than 35 hours a week (in all jobs) and either did so during the reference week, or were not at work in the reference week.

Quintiles

Groupings that result from ranking all households or persons in the population in ascending order according to some characteristic such as their household income and then dividing the population into 5 equal groups, each comprising 20% of the estimated population. 

Remoteness

The Australian Statistical Geography Standard (ASGS) was used to define remoteness. Remoteness Areas divide Australia into five classes of remoteness on the basis of a measure of relative access to services. The Remoteness Structure is described in detail in the Australian Statistical Geography Standard (ASGS): Volume 5 - Remoteness Structure, July 2016.

Theatre performances

Respondents were asked whether they had been to any theatre performance, such as a play or drama, in the last 12 months. If the respondent asked for clarification they were advised to include alternate, playback, puppet, fringe, youth and community theatre, theatre sports and theatre of the deaf as well as drama, comedy, mime, theatre-in-education, and attending a live performance simulcast. They were advised to exclude circuses, touring 'club' shows, variety acts, operas and musicals, primary and secondary school performances, and performances viewed online, via the internet or TV.

Unemployed

Persons aged 15 years and over who were not employed during the reference week, and:

  • had actively looked for full-time or part-time work at any time in the four weeks up to the end of the reference week and were available for work in the reference week; or
  • were waiting to start a new job within four weeks from the end of the reference week and could have started in the reference week if the job had been available then.

Volunteer

A participant in any of the selected cultural activities who willingly gave unpaid help, in the form of time, service or skills, to or through an organisation or group.

Abbreviations

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ABSAustralian Bureau of Statistics
ANZSCOAustralian and New Zealand Standard Classification of Occupations
ANZSICAustralian and New Zealand Standard Industrial Classification
ASCEDAustralian Standard Classification of Education
ASGSAustralian Statistical Geography Standard
CAIcomputer assisted interview
CSACensus and Statistics Act
ERPEstimated Resident Population
GCCSAGreater Capital City Statistical Areas
ICSIndigenous Community Strata
LFSLabour Force Survey
MOEmargin of error
MPHSMultipurpose Household Survey
RSErelative standard error
SACCStandard Australian Classification of Countries
SEstandard error
SEIFASocio-Economic Indexes for Areas
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