Qualifications and work methodology

Latest release
Reference period
2022-23 financial year

Overview

Scope

People aged 15 to 74 years who were usual residents of private dwellings.
Excludes:

  • Australian permanent defence force members and their dependants
  • non-Australian defence forces
  • residents of the Indigenous Community Strata.

Geography

Data available for:

  • Australia
  • Major cities
  • Inner regional
  • Outer regional
  • Remote/very remote.

Source

Multipurpose Household Survey

Collection method

Interviews were conducted by telephone with responses directly recorded in an electronic questionnaire.
Proxy interviews were permissible under certain circumstances.

Concepts, sources and methods

Education data are coded to the Australian Standard Classification of Education (ASCED), 2001.

History of changes

See Comparing the data.

Data collection

Overview

This release presents the results from the Qualifications and Work (Q&W) survey, a topic on the Multipurpose Household Survey (MPHS) conducted throughout Australia from July 2022 to June 2023. 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 Q&W survey collected information about the following:

  • level and field of up to five qualifications
  • year of their qualification completion
  • whether qualifications were attained in Australia
  • relevance of completed qualifications to people's current jobs
  • labour force characteristics
  • main language spoken at home
  • income
  • other demographics.

Scope

The scope of the survey was restricted to people aged 15-74 years 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 (ERP) counts
  • overseas residents in Australia (intending to stay less than 12 months)
  • 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. 

Data from the Q&W survey is available by State, Greater Capital City Statistical Area, Section of State, Remoteness area and Statistical Area Level 4, subject to confidentiality constraints. Geography has been classified according to the Australian Statistical Geography Standard (ASGS), July 2016. For a list of these publications see the ABS Geography Publications page.

Sample size

Information was collected from 22,673 fully responding persons. This includes 511 proxy interviews for people aged 15 to 17 years, where permission was not given by a parent or guardian for a personal interview, and 1,465 proxy interviews for people aged 18-74 years who were not capable of answering for themselves due to illness, injury or language problems.

Collection method

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 and over but was not capable of answering for themselves, due to illness, injury or language problems, the person responsible for them could be asked the questions on their behalf (proxy interview).

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

Processing the data

Weighting

As only a sample of people were surveyed, their results needed to be converted into estimates for the whole population. This was done with a process called weighting.

  • Each person was given a number (known as a weight) to reflect how many people they represented in the whole population.
  • A person's initial weight was based on their probability of being selected in the sample. For example, if the probability of a person being selected in the survey was 1 in 300, then the person would have an initial weight of 300 (that is, they represent 300 people).

Benchmarks

After calculating the initial person weights, an adjustment was incorporated into the weighting for persons to account for all persons in the population.

The person weights were separately calibrated to independent estimates of the in-scope population, referred to as ‘benchmarks’. The benchmarks used additional information about the population to ensure that:

  • people in the sample represented people who were similar to them
  • the survey estimates reflected the distribution of the whole population, not the sample.

The survey was benchmarked to the Estimated Resident Population (ERP) aged 15-74 living in private dwellings in each state and territory at December 2022. 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. 

    Estimation

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

      Accuracy

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      Comparing the data

      Comparability of Time Series

      When comparing data from different cycles of the survey, users should be aware of the following significant changes.

      In 2022-23:

      • the scope of the Q&W survey was reduced from people aged 15 years and over to people aged 15-74 years. 
      • the age scope of the tables in the datacube has increased from 15-64 years to 15-74 years. As a result, care should be taken when comparing proportions reported in equivalent tables. 
      • the scope of migrants in the datacube has been expanded to include all persons not born in Australia or the Australian external territories. Previously, this was limited to migrants who arrived in Australia aged 15 years and older (referred to as Adult Migrants).
      • qualifications of migrants who completed a non-school qualification in the same year as their arrival in Australia have been treated as being completed before arrival in Australia. 
      • caution should be taken in comparing qualifications of migrants before and after the COVID pandemic as certain key populations may have been affected due to changes in net overseas migration during 2020-22.

      In  previous years:

      • 2010-11 data for this topic was previously published as the 'Learning and work survey'. It had a smaller sample size (13,366 persons) as compared to the surveys collected after this iteration that are at least double in sample size.
      • in 2015 data was collected from January to December, where as in 2022-23, 2018-19 and 2010-11 the data was collected from July to June (e.g. July 2022 to June 2023).
      • in 2018-19, qualifications of migrants who completed a non-school qualification in the same year as their arrival in Australia were treated as being completed after arrival in Australia.

      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 Q&W 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 Q&W. 

      Comparability with other ABS surveys

      Estimates from the Q&W survey may differ from the estimates for the same or similar data items produced from other ABS collections for several reasons. For example, all sample surveys are subject to different sampling errors so users should take account of the relative standard error (RSE) and margin of error (MOE) on estimates where comparisons are made. Differences may also exist in scope and/or coverage, reference periods reflecting seasonal variations, non-seasonal events that may have impacted on one period but not another, or because of underlying trends in the phenomena being measured. 

      The survey of Education and Work, Australia (SEW) has some similarities with the Q&W survey. Conducted annually, SEW provides a range of indicators about educational participation and attainment, and data on people's transition between education and work. Comparison of SEW and Q&W data should be undertaken with caution due to different collection methodologies, scope and sample size. SEW is based on a household interview with any responsible adult who responds on behalf of all persons aged 15-74 years in the household. Whereas Q&W is conducted as a personal interview with one randomly selected person aged 15-74 years in the household and only in a few cases as a proxy interview. 

      Comparability with non-ABS sources

      For similar reasons outlined in the section 'Comparability with other ABS surveys', estimates from the Q&W may differ from estimates produced from non-ABS sources. For example, due to differences in collection objectives and definitions, student visa data are not comparable with Home Affairs data. For more information on the Migration Program and Home Affairs statistics, refer to the Department of Home Affairs website. 

      Data release

      Datacubes/spreadsheets 

      A datacube (spreadsheet) containing all tables produced for this publication is available from the Data downloads section of the main release.  The tables have estimates and proportions, and their associated measures of error. As tables names have changed and new tables have been added since the last release, a 'Concordance' spreadsheet is included along with the Data Item List. A copy of the questionnaire is available under the Data downloads section.

      TableBuilder

      For users who wish to undertake more detailed analysis of the data, the survey microdata will be released through the TableBuilder product (see Qualifications and work for more detail). 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.

      Confidentiality

      The Census and Statistics Act 1905 authorises the ABS to collect statistical information, and requires that information is not published in a way that could identify a particular person or organisation. The ABS must make sure that information about individual respondents cannot be derived from published data.
      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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      Abbreviations

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