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Labour Force Status of Families methodology

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Reference period
June 2022
Released
18/10/2022

Introduction

Labour Force estimates of families are produced from data collected in the monthly Labour Force Survey (LFS). Since these products are all based on data collected in the LFS, the methodology of publication Labour Force, Australia is relevant to this publication. Additional information is provided in Labour Statistics: Concepts, Sources and Methods.

What is a family?

A family is defined as two related people who live in the same household. This includes all families such as couples with and without children, including same-sex couples, couples with dependants, single mothers or fathers with children, and siblings living together. At least one person in the family has to be 15 years or over. A household may contain more than one family.

More on how families are defined

Scope

Family data was collected for people who were usual residents of private dwellings and whose family relationships could be derived. Children under 15 are included in scope, and their characteristics are used in the classification of parent-child relationships and family type.

People interviewed in the LFS who were classed as visitors to private dwellings, and those living in non-private dwellings (including hotels, motels, hospitals and other institutions) were excluded. People living in remote Aboriginal and Torres Strait Islander communities were also excluded. After these exclusions were applied, the estimates in this publication cover approximately 80% of the survey sample.

Weighting and estimation

The estimates are calculated in such a way as to sum to independent counts of people and households (benchmarks). These benchmarks are updated based on Estimated Resident Population (ERP) data.

For all data published in this release, estimates have been compiled using benchmarks that have been based on the results of the 2016 Census. These benchmarks have been revised to include the ERP data as at June 2022. For more details on population benchmarks, see the Methodology of Labour Force, Australia.

Survey output

A number of spreadsheets are available from Data downloads. They present tables of estimates and their corresponding relative standard errors (RSEs).

For users who wish to undertake more detailed analysis, the underlying microdata is available in DataLab and TableBuilder. For more details, refer to Microdata and TableBuilder: Labour Force Status of Families.

Survey content

Labour Force Status of Families data is designed to provide statistics on family characteristics and the labour force characteristics of family members in the following broad categories:

  • Geography (state of usual residence)
  • Family type and characteristics (couple families, one parent families)
  • Demographics of husband, partner, lone parent or family head
  • Demographics of wife or partner
  • Labour Force Status of partner, lone parent or family head
  • Labour Force Status of family members (number of family members employed, etc)
  • Employment characteristics of husband, partner, lone parent or family head
  • Employment characteristics of wife or partner
  • Unemployment characteristics of husband, partner, lone parent or family head
  • Unemployment characteristics of wife or partner
  • Age of dependants
  • Number of dependants
  • Educational attendance of dependants

For more details, refer to the Data item list

Families Data item list

Reliability of estimates

As the estimates are based on information obtained from occupants of a sample of households, they are subject to sampling variability. That is, they may differ from those estimates that would have been produced if all households had been included in the survey or a different sample was selected. Two types of error are possible in an estimate based on a sample survey - sampling error and non-sampling error.

  • sampling error is the difference between the published estimate and the value that would have been produced if all dwellings had been included in the survey.
  • non-sampling errors are inaccuracies that occur because of imperfections in reporting by respondents and interviewers, and errors made in coding and processing data. These inaccuracies may occur in any enumeration, whether it be a full count or a sample. Every effort is made to reduce the non-sampling error to a minimum by careful design of questionnaires, intensive training and effective processing procedures.

Some of the estimates contained in the tables have a relative standard error (RSE) of 50 per cent or greater. These estimates are marked as unreliable for general use. Estimates with an RSE of between 25 and 50 per cent are also marked and should be used with caution.

The data used to compile families statistics can be based on households with complicated family relationships, and this can add complexity when interpreting the aggregated estimates.

More on reliability of estimates

Rounding

As estimates have been rounded, discrepancies may occur between sums of the component items and totals.

Glossary

Since these products are all based on data collected in the LFS, the Glossary of publication Labour Force, Australia and information is provided in Labour Statistics: Concepts, Sources and Methods, may be of assistance. Further information is also available in the ABS Family, Household and Income Unit Variables Standard.

The following glossary items relate specifically to family characteristics.

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History of changes

Comparability with previous estimates

Care should be taken when comparing the latest estimates from this issue of the publication against estimates published in previous issues. Estimates from issues prior to 2005 have not been recompiled using current definitions or classification, nor the latest population and household benchmarks.

Improvements to family estimates

From October 2008, the method of producing family estimates from the LFS was improved to include the following:

  • an expanded scope to include households containing permanent members of the defence forces;
  • an increased range of families in the LFS sample contributing to the family estimates; and
  • improvements to the weighting method by utilising independent population benchmarks (of people and households), ensuring the estimates more closely reflect the Australian population.

For more information, see the Information Paper: Improvements to Family Estimates from the Labour Force Survey, 2008

Historical timeseries

The historical timeseries of labour force status of families data can be broadly split into 4 main series.

Series A - Dependants 0-20 years, 1974 to 1985

Between 1974 and 1985, dependent students were defined as family members aged 15-20 years who were full-time students. The June 1986 issue provides further details of the differences between the old definition and the current definition of students aged 15-24 years.

Prior to 1983, office imputation was undertaken to determine the family status of households with incomplete information on all residents and also for non-private dwellings and visitors to private dwellings. Due to the increased demand for family data on a consistent and more regular basis, it was decided eliminate office imputation and rely solely on the reported information. Consequently, the scope for data collected from 1983 onwards was narrowed to exclude those cases where complete family information was difficult to collect.

Series B - Dependants 0-24 years, 1986 to 1993

From 1989, the Other families category was split into One parent families and Other families. While estimates in issues prior to June 1989 are not strictly comparable, 98% of other families with dependants were one parent families, and this definition has been used to extend the one parent families timeseries.

From 1986, the estimation method for families was based on an average of the weights of all family members responding to the LFS. Previously, the family weight was based on the person weight of the ‘head of household’ as representative of the family.

Estimates from 1989 to 1993 were weighted to population benchmarks based on the 1986 Census results. 

Series C - Original estimation method, 1994 to 2004

The estimation method remains the same as Series B - the weighting procedure for families was based on an average of the weights of all family members responding to the LFS. Estimates for 2005 to 2007 were also originally published with this method, and these are provided in the tables to compare against the revised estimation method used in Series D.

In 1994, new classifications for Relationship in Household and Family type were introduced. Most categories in the new classifications were comparable with previously published estimates, with the following notable exceptions:

  • One parent families were expanded to include parents with non-dependent children (provided those children were without a spouse or child of their own). As a consequence, the scope of Other families had been reduced. 
  • Dependent students were narrowed to natural, adopted, step, or foster sons or daughters of a couple or lone parent who were attending full-time education. Other related full-time students in the family (such as nieces, nephews, siblings and grandchildren) who were previously included are now classified as "Other relatives"

From 2001, same-sex couples were first collected.

Series D - Revised estimation method, 2005 to present

Estimates from 2005 onwards are based on the improved estimation method introduced in 2008 (as detailed above).

Since the June 2022 issue, estimates from 2005 onwards have been re-weighted to the most up-to-date population and household benchmarks (based on the 2016 Census results at June 2022). Weighting is stratified by State and Territory and Greater Capital City and Rest of State, and these have been updated to the current Australian Statistical Geography Standard (ASGS). 

Quarterly estimates for the months March, June, September and Decemeber were introduced for the years 2019, 2020, 2021 and the first half of 2022. This is expected to be a temporary introduction to assist in understanding the major changes in the labour market during the pandemic.

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