Labour Force, Australia, Detailed

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A monthly range of excel spreadsheets and excel pivot tables covering all the major items of the Labour Force Survey in time series format

Reference period
January 2020
Released
27/02/2020

Main features

Data from the monthly Labour Force Survey are released in two stages. The Labour Force, Australia, Detailed - Electronic Delivery (cat. no. 6291.0.55.001) and Labour Force, Australia, Detailed, Quarterly (cat. no. 6291.0.55.003) are part of the second release, and include detailed data not contained in the Labour Force, Australia (cat. no. 6202.0) product set, which is released one week earlier.

The Labour Force, Australia, Detailed - Electronic Delivery (cat. no. 6291.0.55.001) is released monthly. Labour Force, Australia, Detailed, Quarterly (cat. no. 6291.0.55.003) includes data only collected in February, May, August and November (including industry and occupation).

Since these products are based on the same data as the Labour Force, Australia (cat. no. 6202.0) publication, the Labour Force, Australia - Explanatory Notes (cat. no. 6202.0) are relevant to both releases.

For advice on reporting data from our regional labour force products (Pivot tables RM1, RM3 and Tables 16, 16B, 16C), please refer to: Advice on reporting regional labour force data.

Data downloads - time series spreadsheets

Table 01. Labour force status by age, social marital status and sex

I-Note

Table 02. Labour force status by state, territory, greater capital city and rest of state (ASGS) and sex

I-Note

Table 03. Labour force status for 15-24 year olds by age, educational attendance (full-time) and sex and by state, territory and educational attendance (full-time)

Table 08. Employed persons by status in employment of main job and sex

Table 09. Employed persons by hours actually worked in all jobs and sex

Table 10. Employed persons by hours usually worked in all jobs and sex

Table 14a. Unemployed persons by duration of job search and sex

Table 14b. Unemployed persons by duration of job search and sex - trend, seasonally adjusted and original

Table 14c. Median duration of job search by state, territory and duration of job search

Table 14d. Median duration of job search by age and duration of job search

Table 14e. Median duration of job search by relationship in household and duration of job search

Table 16. Labour force status by labour market region (ASGS) and sex

I-Note

Table 16b. Labour force status by labour market region (ASGS) and sex, annual averages of the previous 12 months

I-Note

Table 16c. Median duration of job search by labour market region (ASGS) and duration of job search

I-Note

Table 20a - Unemployed persons who looked for full-time and part-time work by age

Table 20b - Unemployed persons who looked for full-time and part-time work by sex

Table 20c - Unemployed persons who looked for full-time and part-time work by state and territory

All time series spreadsheets

Data downloads - data cubes

LM1 - Labour force status by age, greater capital city and rest of state (ASGS), marital status and sex, February 1978 onwards (pivot table)

LM3 - Labour force status for 15-24 year olds by age, educational attendance (full-time), sex and year left school, April 1986 onwards (pivot table)

LM3a - Labour force status for 15-24 year olds by age, educational attendance (full-time), highest year of school completed (ASCED) and sex, August 2015 onwards (pivot table)

LM4 - Labour force status by elapsed years since arrival, major country group (subcontinent) of birth (SACC), sex, state and territory, January 1991 onwards (pivot table)

LM5 - Labour force status by Age, major country group (subcontinent) of birth (SACC), and sex, January 1991 onwards (pivot table)

LM7 - Labour force status by elapsed years since arrival, main english-speaking countries, sex, state and territory, January 1991 onwards (pivot table)

LM9 - Labour force status by age (detailed), greater capital city and rest of state (ASGS) and sex, January 1991 onwards (pivot table)

EM1a - Employed persons by age, hours actually worked in all jobs and sex, January 1991 onwards (pivot table)

EM1b - Employed persons by hours actually worked in all jobs, state and territory, January 1991 onwards (pivot table)

EM2a - Employed persons who worked fewer hours than usual by hours actually worked in all jobs and sex, January 1991 onwards (pivot table)

EM2b - Employed persons who worked fewer hours than usual by hours actually worked in all jobs, state and territory, January 1991 onwards (pivot table)

EM3a - Employed persons by age, hours usually worked in all jobs and sex, April 2001 onwards (pivot table)

EM3b - Employed persons by hours usually worked in all jobs, state and territory, April 2001 onwards (pivot table)

EM4a - Employed persons by age, hours actually worked in main job and sex, April 2001 onwards (pivot table)

EM4b - Employed persons by hours actually worked in main job, state and territory, April 2001 onwards (pivot table)

EM5a - Employed persons by age, hours usually worked in main job and sex, July 2014 onwards (pivot table)

EM5b - Employed persons by hours usually worked in main job, state and territory, July 2014 onwards (pivot table)

EM6 - Employed persons by hours actually worked in all jobs, sex and tatus in employment of main job, January 1991 onwards (pivot table)

EM6a - Employed persons by hours actually worked in all jobs, sex, status in employment of main job, and state, January 1991 (pivot table)

UM2 - Unemployed persons by duration of job search, state and territory, January 1991 onwards (pivot table)

UM3 - Unemployed persons by age and duration of job search, January 1991 onwards (pivot table)

RM1 - Labour force status by age, labour market region (ASGS) and sex, October 1998 onwards (pivot table)

Bushfires - January 2020 (Data Cubes RM1 and RM3)

Bushfires resulted in disruption to ABS data collection operations in some regions in New South Wales and Victoria during January 2020.

In New South Wales, some areas within the 'Capital Region', the 'Southern Highlands and Shoalhaven' region and the 'Mid North Coast' region could not be included in the survey for January, accounting for around 3.3% of the total sample in the state. In Victoria, some areas within the 'Latrobe - Gippsland' region were also unable to be surveyed, accounting for around 0.8% of the Victorian sample. As a result, there was slightly higher than usual survey non-response in these areas.

While no notable impact was observed, it is important to note that changes in Labour Force statistics between December 2019 and January 2020 (particularly changes in hours worked) may still be slightly understated or overstated, relative to what would have been observed if the ABS had been able to collect information from the entire sample. The ABS will undertake further analysis of January 2020 data when February 2020 data has been collected.

Some region level data for New South Wales and Victoria for January 2020 will not be published in Labour Force, Australia, Detailed - Electronic Delivery (cat. no. 6291.0.55.001) on the 27th February. The ABS expects to resume publishing these estimates with either the release of February 2020 data (in March) or March 2020 data (in April).

RM3 - Unemployed persons by duration of job search and labour market region (ASGS), July 1991 onwards (pivot table)

Bushfires - January 2020 (Data Cubes RM1 and RM3)

Bushfires resulted in disruption to ABS data collection operations in some regions in New South Wales and Victoria during January 2020.

In New South Wales, some areas within the 'Capital Region', the 'Southern Highlands and Shoalhaven' region and the 'Mid North Coast' region could not be included in the survey for January, accounting for around 3.3% of the total sample in the state. In Victoria, some areas within the 'Latrobe - Gippsland' region were also unable to be surveyed, accounting for around 0.8% of the Victorian sample. As a result, there was slightly higher than usual survey non-response in these areas.

While no notable impact was observed, it is important to note that changes in Labour Force statistics between December 2019 and January 2020 (particularly changes in hours worked) may still be slightly understated or overstated, relative to what would have been observed if the ABS had been able to collect information from the entire sample. The ABS will undertake further analysis of January 2020 data when February 2020 data has been collected.

Some region level data for New South Wales and Victoria for January 2020 will not be published in Labour Force, Australia, Detailed - Electronic Delivery (cat. no. 6291.0.55.001) on the 27th February. The ABS expects to resume publishing these estimates with either the release of February 2020 data (in March) or March 2020 data (in April).

FM1 - Labour force status by relationship in household, sex, state and territory, January 1991 onwards (pivot table)

The ABS has identified an issue with some family coding, which is affecting a range of key family estimates - particularly changes between June 2015 and June 2018. The issue is impacting on some variables in the four "relationship in household" products in Labour Force, Australia, Detailed – Electronic Delivery (cat. no. 6291.0.55.001) – including pivot tables FM1-FM4, as well as the first time series spreadsheet, which contains estimates by social marital status.

FM2 - Labour force status by age and relationship in household, January 1991 onwards (pivot table)

The ABS has identified an issue with some family coding, which is affecting a range of key family estimates - particularly changes between June 2015 and June 2018. The issue is impacting on some variables in the four "relationship in household" products in Labour Force, Australia, Detailed – Electronic Delivery (cat. no. 6291.0.55.001) – including pivot tables FM1-FM4, as well as the first time series spreadsheet, which contains estimates by social marital status.

FM3 - Employed persons by hours actually worked in all jobs and relationship in household, January 1991 onwards (pivot table)

The ABS has identified an issue with some family coding, which is affecting a range of key family estimates - particularly changes between June 2015 and June 2018. The issue is impacting on some variables in the four "relationship in household" products in Labour Force, Australia, Detailed – Electronic Delivery (cat. no. 6291.0.55.001) – including pivot tables FM1-FM4, as well as the first time series spreadsheet, which contains estimates by social marital status.

FM4 - Unemployed persons by duration of job search and relationship in household, January 1991 onwards (pivot table)

The ABS has identified an issue with some family coding, which is affecting a range of key family estimates - particularly changes between June 2015 and June 2018. The issue is impacting on some variables in the four "relationship in household" products in Labour Force, Australia, Detailed – Electronic Delivery (cat. no. 6291.0.55.001) – including pivot tables FM1-FM4, as well as the first time series spreadsheet, which contains estimates by social marital status.

NM1 - Persons not in the labour force (NILF) by age, reason not in the labour force and sex, January 1991 onwards (pivot table)

NM2 - Persons not in the labour force (NILF) by reason not in the labour force, state and territory, January 1991 onwards (pivot table)

All monthly Pivot Tables

Insights from the original data

Sample composition

The Labour Force Survey sample can be thought of as comprising eight sub-samples (or rotation groups), with each sub-sample remaining in the survey for eight months, and one rotation group "rotating out" each month and being replaced by a new group "rotating in". This sample rotation is important in ensuring that seven-eighths of the sample are common from one month to the next, to ensure that changes in the estimates reflect real changes in the labour market, rather than the sample. In addition, the replacement sample is generally selected from the same geographic areas as the outgoing one, as part of a representative sampling approach.

When considering movements in the original estimates, it is possible to decompose the sample into three components:

  • the matched common sample (survey respondents who responded in both December and January);
  • the unmatched common sample (survey respondents who responded in January but who did not respond in December, or vice versa); and
  • the incoming rotation group (survey respondents who replaced respondents who rotated out in December).


The detailed decomposition of each of these movements is included in the data cube 'Insights From the Original Data'.

In considering the three components of the sample, it is important to remember that the matched common sample describes the change observed for the same respondents in December and January, while the other two components reflect differences between the aggregate labour force status of different groups of people.

While the rotation groups are designed to be representative of the population, the outgoing and incoming rotation groups will almost always have somewhat different characteristics, as a result of the groups representing a sample of different households and people. The design of the survey, including the weighting and estimation processes, ensures that these differences are generally relatively minor and seeks to ensure that differences in characteristics of rotation groups do not affect the representativeness of the survey and its estimates. Monthly estimates are always designed to be representative of their respective months, regardless of the relative contribution of the three components of the sample.

Incoming rotation group

In original terms, the incoming rotation group in January 2020 had a lower employment to population ratio than the group it replaced (62.0% in January 2020, compared to 64.2% in December 2019), and was higher than the sample as a whole (61.8%). The incoming rotation group had a lower full-time employment to population ratio than the group it replaced (43.2% in January 2020, compared to 44.5% in December 2019), and was higher than the sample as a whole (42.7%).

The incoming rotation group had a higher unemployment rate than the group it replaced (5.8% in January 2020, compared to 4.0% in December 2019), and was higher than the sample as a whole (5.7%). The incoming rotation group had a lower participation rate than the group it replaced (65.8% in January 2020, compared to 66.9% in December 2019), and was higher than the sample as a whole (65.6%).

Outgoing rotation group

In looking ahead to the February 2020 estimates, in original terms, the outgoing rotation group in January 2020, that will be replaced by a new incoming rotation group in February 2020, had an employment to population ratio in January 2020 of (61.8%). the same as the sample as a whole (61.8%). The outgoing rotation group in January 2020 had a higher full-time employment to population ratio (43.4%) than the sample as a whole (42.7%).

The outgoing rotation group in January 2020 had a lower unemployment rate (5.3%) compared to the sample as a whole (5.7%). The outgoing rotation group in January 2020 had a lower participation rate (65.2%) compared to the sample as a whole (65.6%).

The importance of trend data

As the gross flows and rotation group data are presented in original terms they are not directly comparable to the seasonally adjusted and trend data discussed elsewhere in the commentary, and are included to provide additional information for the original data. Since the original data are unadjusted, they have a considerable level of inherent sampling variability, which is specifically adjusted for in the trend series. The trend data provides the best measure of the underlying behaviour of the labour market and is the focus of the commentary in this publication.

Rotation group analysis for states and territories

In addition to analysis across the entire sample, the ABS also undertakes similar analysis for the responding sample in each state and territory each month, and highlights where there is a notable change for users to be aware of. For example, in January 2020, the incoming rotation group in Victoria was less employed and more likely to be not in the labour force than the group it replaced, and was generally less employed and more not in the labour force than the matched sample. As with any notable month-to-month movement of this nature in state and territory estimates, the ABS recommends exercising a degree of caution in interpreting short-term changes.

As for its reporting for the entire sample, where the ABS has not highlighted a notable incoming rotation group effect, any larger changes should therefore be considered to reflect a broader change across the sample.

Assessing the impact of the bushfires on labour statistics

Bushfires resulted in disruption to ABS data collection operations in some regions in New South Wales and Victoria during January 2020.

In New South Wales, some areas within the 'Capital Region', the 'Southern Highlands and Shoalhaven' region and the 'Mid North Coast' region could not be included in the survey for January, accounting for around 3.3% of the total sample in the state. In Victoria, some areas within the 'Latrobe - Gippsland' region were also unable to be surveyed, accounting for around 0.8% of the Victorian sample. As a result, there was slightly higher than usual survey non-response in these areas.

The Labour Force Survey has a robust survey design, with a large sample, a high level of response, and sophisticated weighting and estimation methods. Given the scale of the bushfires, the ABS undertook additional quality assurance of January data, to ascertain whether any additional statistical methods were required to minimise the effect of a higher level of non-response on key headline Labour Force statistics.

The ABS confirmed that the disruption from the bushfires did not have a notable impact on key headline statistics and that no additional statistical interventions were required. A range of estimates were produced, as part of the additional quality assurance undertaken, including using imputation to account for the higher level of non-response. These estimates were highly consistent with the published estimates in this release. For example, the trend and seasonally adjusted unemployment rates for Australia, New South Wales and Victoria were the same (to 1 decimal place), as were the size of the movements in these unemployment rates between December 2019 and January 2020.

While no notable impact was observed, it is important to note that changes in Labour Force statistics between December 2019 and January 2020 (particularly changes in hours worked) may still be slightly understated or overstated, relative to what would have been observed if the ABS had been able to collect information from the entire sample. The ABS will undertake further analysis of January 2020 data when February 2020 data has been collected.

Some region level data for New South Wales and Victoria for January 2020 will not be published in Labour Force, Australia, Detailed - Electronic Delivery (cat. no. 6291.0.55.001) on the 27th February. The ABS expects to resume publishing these estimates with either the release of February 2020 data (in March) or March 2020 data (in April).

Article archive

This section provides an archive of articles and analysis published in Labour Force, Australia (cat. no. 6202.0) and Labour Force, Australia, Detailed - Electronic Delivery (cat. no. 6291.0.55.001) and Labour Force, Australia, Detailed, Quarterly (cat. no. 6291.0.55.003), promoting the effective use of labour force statistics. Articles are sorted by publication month.

Articles on labour related topics are also available in Australian Labour Market Statistics (cat. no. 6105.0) and Australian Social Trends (cat. no. 4102.0).

Labour force survey archive

2019

2018

2017

2016

2015

2014

2013

2012

2011

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