Labour Force, Australia

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Headline estimates of employment, unemployment, underemployment, participation and hours worked from the monthly Labour Force Survey

Reference period

October 2022

Released

17/11/2022

View all releases

Key statistics

In trend terms, in October 2022:

unemployment rate decreased to 3.4%.
participation rate remained at 66.6%.
employment increased to 13,623,700.
employment to population ratio remained at 64.3%.
underemployment rate remained at 6.0%.
monthly hours worked increased to 1,864 million.

In seasonally adjusted terms, in October 2022:

unemployment rate decreased to 3.4%.
participation rate remained at 66.5%.
employment increased to 13,617,900.
employment to population ratio increased to 64.3%.
underemployment rate decreased to 5.9%.
monthly hours worked increased to 1,897 million.

Key statistics - Trend
	Sep-2022	Oct-2022	Monthly change	Monthly change (%)	Yearly change	Yearly change (%)
Employed people	13,606,900	13,623,700	16,800	0.1%	466,800	3.5%
Unemployed people	486,400	483,800	-2,600	-0.5%	-153,100	-24.0%
Unemployment rate	3.5%	3.4%	0.0 pts	na	-1.2 pts	na
Underemployment rate	6.0%	6.0%	0.0 pts	na	-3.3 pts	na
Participation rate	66.6%	66.6%	0.0 pts	na	0.8 pts	na
Monthly hours worked in all jobs	1,862 million	1,864 million	3 million	0.1%	124 million	7.1%

Key statistics - Seasonally adjusted
	Sep-2022	Oct-2022	Monthly change	Monthly change (%)	Yearly change	Yearly change (%)
Employed people	13,585,700	13,617,900	32,200	0.2%	762,000	5.9%
Unemployed people	498,100	477,600	-20,600	-4.1%	-236,200	-33.1%
Unemployment rate	3.5%	3.4%	-0.1 pts	na	-1.9 pts	na
Underemployment rate	6.0%	5.9%	-0.1 pts	na	-3.5 pts	na
Participation rate	66.5%	66.5%	0.0 pts	na	1.7 pts	na
Monthly hours worked in all jobs	1,854 million	1,897 million	43 million	2.3%	167 million	9.7%

Estimates of changes throughout this release are calculated using un-rounded level estimates and may be different from, but are more accurate than, movements obtained from the rounded level estimates.

Survey impacts and changes

Guide to labour statistics

To learn more about our different labour measures, their purpose and how to use them, see our Guide to labour statistics. It provides summary information on labour market topics including Industry employment data.

Articles and other information

The ABS has again included more detailed information given the interest in understanding

hours worked and comparisons with the labour market before the monthly Labour Force Survey commenced in 1978.

This detailed information can be found in:

For a list of previously published LFS articles, see the Article archive.

The ABS is also continuing to include data cubes EM2a and EM2b in this release. These two data cubes are usually only released in Labour Force, Australia, Detailed, but will continue to be released in the headline release over the coming months, to enable more detailed analysis of changes in hours worked and the reasons that people are working reduced or no hours.

Additional spreadsheets and pivot tables are published in Labour Force, Australia, Detailed one week after this release, while longitudinal labour force microdata are released in the ABS DataLab, on 25 November 2022 (see Microdata: Longitudinal Labour Force, Australia).

Seasonal adjustment and trend estimates

ABS suspended the publication of Labour Force Trend estimates in April 2020, due to the large changes in the labour market during the COVID-19 period, particularly during the first two years of the pandemic (April 2020 to March 2022).

As suggested in A Guide to Interpreting Time Series, trend estimates are generally a better guide to the substantive movements in the series, and are considered the best indicator of the underlying behaviour in the labour market.

Given this, following extensive analysis of the time series, the ABS has now reinstated Labour Force Trend estimates and reverted back to using the concurrent seasonal adjustment method (rather than using forward factors).

The ABS has also included the trend during the COVID period in the spreadsheets in this release. However, given the large month-to-month changes during the first two years of the COVID-19 pandemic, resulting in multiple trend breaks, the ABS recommends caution when using trend estimates during this period.

The ABS will continue to investigate methods for the identification of trend breaks as part of the upcoming Annual Seasonal Reanalysis in 2023. As part of this process, there may be larger than usual revisions, particularly for the first two years of the pandemic.

Major rebenchmarking of labour force estimates

In the November 2022 publication, to be released on 15 December 2022, the Labour Force population benchmarks will be updated to reflect the latest estimated resident population (ERP) based on the 2021 Census (preliminary rebased ERP).

This is a regular 5-yearly rebasing process which follows each Census, and ensures the Labour Force estimates are benchmarked to the most recent population information.

This process will result in revisions to Labour Force estimates going back to 2016. This follows a similar process to that undertaken in 2017.

Survey response and timeline

The October Labour Force Survey was run in respect of the two weeks from Sunday 2 October to Saturday 15 October, and collected over the period from Sunday 9 October to Saturday 29 October.

The ABS would like to thank Australians for their continued support in responding to our surveys, given how critically important this information is.

Reference and Enumeration Dates
Publication	Start of Reference Week	End of Reference Week	Start of Enumeration	End of Enumeration
Sep-22	4th September 2022	17th September 2022	11th September 2022	1st October 2022
Oct-22	2nd October 2022	15th October 2022	9th October 2022	29th October 2022
Nov-22	30th October 2022	12th November 2022	6th November 2022	26th November 2022
Dec-22	27th November 2022	10th December 2022	4th December 2022	22nd December 2022
Jan-23	1st January 2023	14th January 2023	8th January 2023	28th January 2023
Feb-23	29th January 2023	11th February 2023	5th February 2023	25th February 2023

Unemployment

In trend terms, in October 2022:

unemployment rate decreased to 3.4%.
unemployed people decreased by 2,600 to 483,800.
youth unemployment rate decreased to 7.5%.

Unemployment rate
	Trend (%)	Seasonally adjusted (%)
Oct-12	5.3	5.4
Nov-12	5.4	5.3
Dec-12	5.4	5.4
Jan-13	5.4	5.4
Feb-13	5.5	5.4
Mar-13	5.6	5.6
Apr-13	5.6	5.6
May-13	5.6	5.6
Jun-13	5.7	5.7
Jul-13	5.7	5.6
Aug-13	5.7	5.8
Sep-13	5.8	5.7
Oct-13	5.8	5.8
Nov-13	5.8	5.8
Dec-13	5.9	5.9
Jan-14	5.9	5.9
Feb-14	5.8	5.9
Mar-14	5.8	5.9
Apr-14	5.9	5.8
May-14	5.9	5.9
Jun-14	6.0	6.0
Jul-14	6.1	6.2
Aug-14	6.2	6.1
Sep-14	6.3	6.2
Oct-14	6.3	6.4
Nov-14	6.3	6.3
Dec-14	6.3	6.1
Jan-15	6.2	6.3
Feb-15	6.2	6.1
Mar-15	6.1	6.1
Apr-15	6.1	6.1
May-15	6.1	5.9
Jun-15	6.1	6.0
Jul-15	6.1	6.3
Aug-15	6.0	6.1
Sep-15	6.0	6.2
Oct-15	5.9	5.9
Nov-15	5.9	5.9
Dec-15	5.8	5.7
Jan-16	5.8	6.0
Feb-16	5.7	5.7
Mar-16	5.7	5.6
Apr-16	5.7	5.6
May-16	5.7	5.7
Jun-16	5.6	5.7
Jul-16	5.6	5.7
Aug-16	5.6	5.6
Sep-16	5.6	5.6
Oct-16	5.7	5.6
Nov-16	5.7	5.8
Dec-16	5.8	5.8
Jan-17	5.8	5.7
Feb-17	5.8	5.8
Mar-17	5.8	5.8
Apr-17	5.7	5.6
May-17	5.7	5.5
Jun-17	5.6	5.6
Jul-17	5.6	5.6
Aug-17	5.5	5.5
Sep-17	5.5	5.4
Oct-17	5.5	5.4
Nov-17	5.5	5.4
Dec-17	5.5	5.6
Jan-18	5.5	5.5
Feb-18	5.5	5.6
Mar-18	5.5	5.5
Apr-18	5.5	5.5
May-18	5.4	5.4
Jun-18	5.4	5.3
Jul-18	5.3	5.3
Aug-18	5.2	5.3
Sep-18	5.2	5.0
Oct-18	5.1	5.0
Nov-18	5.0	5.1
Dec-18	5.0	5.0
Jan-19	5.0	5.1
Feb-19	5.0	5.0
Mar-19	5.1	5.1
Apr-19	5.1	5.2
May-19	5.2	5.2
Jun-19	5.2	5.3
Jul-19	5.2	5.3
Aug-19	5.2	5.3
Sep-19	5.2	5.2
Oct-19	5.2	5.3
Nov-19	5.2	5.1
Dec-19	5.1	5.0
Jan-20	5.2	5.3
Feb-20	5.2	5.1
Mar-20	5.3	5.2
Apr-20		6.3
May-20		7.0
Jun-20		7.4
Jul-20		7.5
Aug-20		6.8
Sep-20		6.9
Oct-20		7.0
Nov-20		6.8
Dec-20		6.6
Jan-21		6.4
Feb-21		5.8
Mar-21		5.6
Apr-21		5.4
May-21		5.1
Jun-21		5.0
Jul-21		4.7
Aug-21		4.6
Sep-21		4.7
Oct-21		5.3
Nov-21		4.6
Dec-21		4.2
Jan-22		4.2
Feb-22		4.0
Mar-22		3.9
Apr-22	3.8	3.9
May-22	3.7	3.9
Jun-22	3.6	3.5
Jul-22	3.5	3.4
Aug-22	3.5	3.5
Sep-22	3.5	3.5
Oct-22	3.4	3.4

Unemployment rate

["","Trend","Seasonally adjusted"]

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.5999999999999996],[4.2000000000000002],[4.2000000000000002],[4],[3.8999999999999999],[3.8999999999999999],[3.8999999999999999],[3.5],[3.3999999999999999],[3.5],[3.5],[3.3999999999999999]]]

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Large month-to-month changes occurred during the COVID-19 pandemic, resulting in multiple trend breaks. The ABS recommends caution when using trend estimates published in spreadsheets in this release for this period. Information on trend breaks can be found in Labour Force, Australia methodology, October 2022.

Employment

In trend terms, in October 2022, employment increased by 16,800 people (0.1%) to 13,623,700 people.

Flows into and out of employment

Flows into and out of employment are extensive and are based on the net matched sample of original employment growth between two consecutive months (around 80% of the sample). The (net) sum of the inflows and outflows does not necessarily equal the 'net' employment growth.

For October 2022, the net change in the number of employed people is the result of around 449,000 people entering employment (i.e. they were not employed in September but were employed in October), while around 442,000 people left employment (i.e. they were employed in September but not employed in October). This contrasts with September 2022, where around 488,000 people entered employment and around 446,000 people left employment.

Monthly inflows, outflows and employment growth, Original
	Employed people growth ('000)	Inflow ('000)	Outflow ('000)
Oct-17	17	402	-402
Nov-17	103	442	-352
Dec-17	114	414	-390
Jan-18	-263	360	-652
Feb-18	223	649	-382
Mar-18	-33	409	-426
Apr-18	31	398	-395
May-18	47	431	-401
Jun-18	36	407	-403
Jul-18	-33	430	-440
Aug-18	-28	419	-415
Sep-18	68	476	-405
Oct-18	39	422	-435
Nov-18	87	439	-375
Dec-18	98	442	-403
Jan-19	-236	428	-680
Feb-19	199	611	-361
Mar-19	-17	410	-432
Apr-19	46	445	-396
May-19	89	413	-377
Jun-19	-31	382	-455
Jul-19	-2	437	-472
Aug-19	-29	469	-436
Sep-19	68	447	-377
Oct-19	-26	396	-462
Nov-19	95	449	-397
Dec-19	102	443	-411
Jan-20	-266	415	-709
Feb-20	221	644	-397
Mar-20	-48	435	-464
Apr-20	-592	356	-952
May-20	-220	585	-783
Jun-20	200	610	-422
Jul-20	80	559	-437
Aug-20	91	523	-495
Sep-20	5	488	-437
Oct-20	168	548	-411
Nov-20	146	525	-356
Dec-20	114	502	-391
Jan-21	-261	421	-664
Feb-21	302	676	-355
Mar-21	27	474	-415
Apr-21	-27	498	-480
May-21	168	509	-371
Jun-21	-19	422	-460
Jul-21	-22	499	-546
Aug-21	-208	460	-646
Sep-21	-97	520	-634
Oct-21	-33	538	-541
Nov-21	448	839	-403
Dec-21	166	537	-411
Jan-22	-269	440	-790
Feb-22	339	726	-389
Mar-22	-19	456	-483
Apr-22	0	563	-491
May-22	113	480	-385
Jun-22	16	441	-404
Jul-22	-53	499	-506
Aug-22	-45	469	-450
Sep-22	24	488	-446
Oct-22	40	449	-442

Monthly inflows, outflows and employment growth, Original

["","Employed people growth","Inflow","Outflow"]

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Employed people
	Trend ('000)	Seasonally adjusted ('000)
Oct-12	11,381.1	11,391.6
Nov-12	11,393.7	11,385.3
Dec-12	11,408.0	11,395.6
Jan-13	11,422.1	11,461.4
Feb-13	11,435.6	11,465.5
Mar-13	11,446.7	11,433.8
Apr-13	11,454.9	11,465.6
May-13	11,460.9	11,458.4
Jun-13	11,465.0	11,471.0
Jul-13	11,467.4	11,457.6
Aug-13	11,466.9	11,460.2
Sep-13	11,463.1	11,477.1
Oct-13	11,457.5	11,471.4
Nov-13	11,454.0	11,449.4
Dec-13	11,455.4	11,417.7
Jan-14	11,463.7	11,454.0
Feb-14	11,478.3	11,476.3
Mar-14	11,497.2	11,530.6
Apr-14	11,515.8	11,535.9
May-14	11,530.1	11,513.9
Jun-14	11,538.8	11,529.8
Jul-14	11,544.0	11,546.5
Aug-14	11,548.2	11,549.5
Sep-14	11,554.2	11,550.0
Oct-14	11,564.1	11,543.9
Nov-14	11,578.4	11,544.2
Dec-14	11,597.3	11,596.5
Jan-15	11,620.4	11,606.0
Feb-15	11,645.8	11,671.4
Mar-15	11,671.3	11,691.9
Apr-15	11,694.6	11,689.9
May-15	11,715.9	11,734.5
Jun-15	11,737.2	11,729.2
Jul-15	11,760.7	11,761.6
Aug-15	11,788.5	11,772.6
Sep-15	11,820.0	11,787.7
Oct-15	11,851.6	11,863.3
Nov-15	11,881.1	11,896.5
Dec-15	11,905.3	11,904.1
Jan-16	11,922.4	11,907.1
Feb-16	11,934.7	11,922.8
Mar-16	11,944.2	11,940.2
Apr-16	11,953.8	11,945.8
May-16	11,963.6	11,942.6
Jun-16	11,972.4	11,965.8
Jul-16	11,980.2	11,996.4
Aug-16	11,987.3	11,973.6
Sep-16	11,993.7	11,958.7
Oct-16	12,000.5	11,990.2
Nov-16	12,009.0	12,013.6
Dec-16	12,020.9	12,033.6
Jan-17	12,040.2	12,050.3
Feb-17	12,067.4	12,051.6
Mar-17	12,102.8	12,115.9
Apr-17	12,144.7	12,167.7
May-17	12,188.5	12,191.3
Jun-17	12,230.7	12,229.2
Jul-17	12,269.7	12,258.3
Aug-17	12,305.5	12,314.9
Sep-17	12,339.0	12,351.2
Oct-17	12,371.3	12,361.0
Nov-17	12,402.2	12,412.2
Dec-17	12,430.0	12,447.4
Jan-18	12,452.5	12,478.9
Feb-18	12,469.5	12,472.3
Mar-18	12,483.9	12,488.7
Apr-18	12,499.1	12,506.3
May-18	12,518.8	12,499.5
Jun-18	12,544.9	12,579.2
Jul-18	12,575.2	12,570.1
Aug-18	12,607.5	12,618.9
Sep-18	12,639.3	12,638.4
Oct-18	12,667.4	12,671.6
Nov-18	12,690.9	12,702.8
Dec-18	12,712.1	12,717.3
Jan-19	12,734.3	12,745.7
Feb-19	12,759.2	12,742.9
Mar-19	12,787.5	12,777.4
Apr-19	12,819.0	12,815.1
May-19	12,851.1	12,841.8
Jun-19	12,880.3	12,858.2
Jul-19	12,904.2	12,879.9
Aug-19	12,922.4	12,928.9
Sep-19	12,936.0	12,953.8
Oct-19	12,948.1	12,922.5
Nov-19	12,960.1	12,958.4
Dec-19	12,971.1	12,974.4
Jan-20	12,978.2	12,980.7
Feb-20	12,980.5	12,993.8
Mar-20	12,978.9	12,995.0
Apr-20		12,403.1
May-20		12,120.3
Jun-20		12,361.3
Jul-20		12,465.9
Aug-20		12,624.7
Sep-20		12,595.5
Oct-20		12,758.3
Nov-20		12,847.7
Dec-20		12,875.2
Jan-21		12,890.3
Feb-21		12,972.9
Mar-21		13,048.8
Apr-21		13,025.6
May-21		13,121.4
Jun-21		13,152.9
Jul-21		13,155.1
Aug-21		13,019.7
Sep-21		12,895.1
Oct-21		12,855.9
Nov-21		13,242.8
Dec-21		13,312.3
Jan-22		13,330.8
Feb-22		13,436.2
Mar-22		13,472.4
Apr-22	13,511.1	13,482.0
May-22	13,541.0	13,521.3
Jun-22	13,562.4	13,589.7
Jul-22	13,578.4	13,554.0
Aug-22	13,592.3	13,589.5
Sep-22	13,606.9	13,585.7
Oct-22	13,623.7	13,617.9

Employed people

["","Trend","Seasonally adjusted"]

[["Oct-12","Nov-12","Dec-12","Jan-13","Feb-13","Mar-13","Apr-13","May-13","Jun-13","Jul-13","Aug-13","Sep-13","Oct-13","Nov-13","Dec-13","Jan-14","Feb-14","Mar-14","Apr-14","May-14","Jun-14","Jul-14","Aug-14","Sep-14","Oct-14","Nov-14","Dec-14","Jan-15","Feb-15","Mar-15","Apr-15","May-15","Jun-15","Jul-15","Aug-15","Sep-15","Oct-15","Nov-15","Dec-15","Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","Jul-17","Aug-17","Sep-17","Oct-17","Nov-17","Dec-17","Jan-18","Feb-18","Mar-18","Apr-18","May-18","Jun-18","Jul-18","Aug-18","Sep-18","Oct-18","Nov-18","Dec-18","Jan-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20","Jan-21","Feb-21","Mar-21","Apr-21","May-21","Jun-21","Jul-21","Aug-21","Sep-21","Oct-21","Nov-21","Dec-21","Jan-22","Feb-22","Mar-22","Apr-22","May-22","Jun-22","Jul-22","Aug-22","Sep-22","Oct-22"],[[11381.1],[11393.700000000001],[11408],[11422.1],[11435.6],[11446.700000000001],[11454.9],[11460.9],[11465],[11467.4],[11466.9],[11463.1],[11457.5],[11454],[11455.4],[11463.700000000001],[11478.299999999999],[11497.200000000001],[11515.799999999999],[11530.1],[11538.799999999999],[11544],[11548.200000000001],[11554.200000000001],[11564.1],[11578.4],[11597.299999999999],[11620.4],[11645.799999999999],[11671.299999999999],[11694.6],[11715.9],[11737.200000000001],[11760.700000000001],[11788.5],[11820],[11851.6],[11881.1],[11905.299999999999],[11922.4],[11934.700000000001],[11944.200000000001],[11953.799999999999],[11963.6],[11972.4],[11980.200000000001],[11987.299999999999],[11993.700000000001],[12000.5],[12009],[12020.9],[12040.200000000001],[12067.4],[12102.799999999999],[12144.700000000001],[12188.5],[12230.700000000001],[12269.700000000001],[12305.5],[12339],[12371.299999999999],[12402.200000000001],[12430],[12452.5],[12469.5],[12483.9],[12499.1],[12518.799999999999],[12544.9],[12575.200000000001],[12607.5],[12639.299999999999],[12667.4],[12690.9],[12712.1],[12734.299999999999],[12759.200000000001],[12787.5],[12819],[12851.1],[12880.299999999999],[12904.200000000001],[12922.4],[12936],[12948.1],[12960.1],[12971.1],[12978.200000000001],[12980.5],[12978.9],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[13511.1],[13541],[13562.4],[13578.4],[13592.299999999999],[13606.9],[13623.700000000001]],[[11391.6],[11385.299999999999],[11395.6],[11461.4],[11465.5],[11433.799999999999],[11465.6],[11458.4],[11471],[11457.6],[11460.200000000001],[11477.1],[11471.4],[11449.4],[11417.700000000001],[11454],[11476.299999999999],[11530.6],[11535.9],[11513.9],[11529.799999999999],[11546.5],[11549.5],[11550],[11543.9],[11544.200000000001],[11596.5],[11606],[11671.4],[11691.9],[11689.9],[11734.5],[11729.200000000001],[11761.6],[11772.6],[11787.700000000001],[11863.299999999999],[11896.5],[11904.1],[11907.1],[11922.799999999999],[11940.200000000001],[11945.799999999999],[11942.6],[11965.799999999999],[11996.4],[11973.6],[11958.700000000001],[11990.200000000001],[12013.6],[12033.6],[12050.299999999999],[12051.6],[12115.9],[12167.700000000001],[12191.299999999999],[12229.200000000001],[12258.299999999999],[12314.9],[12351.200000000001],[12361],[12412.200000000001],[12447.4],[12478.9],[12472.299999999999],[12488.700000000001],[12506.299999999999],[12499.5],[12579.200000000001],[12570.1],[12618.9],[12638.4],[12671.6],[12702.799999999999],[12717.299999999999],[12745.700000000001],[12742.9],[12777.4],[12815.1],[12841.799999999999],[12858.200000000001],[12879.9],[12928.9],[12953.799999999999],[12922.5],[12958.4],[12974.4],[12980.700000000001],[12993.799999999999],[12995],[12403.1],[12120.299999999999],[12361.299999999999],[12465.9],[12624.700000000001],[12595.5],[12758.299999999999],[12847.700000000001],[12875.200000000001],[12890.299999999999],[12972.9],[13048.799999999999],[13025.6],[13121.4],[13152.9],[13155.1],[13019.700000000001],[12895.1],[12855.9],[13242.799999999999],[13312.299999999999],[13330.799999999999],[13436.200000000001],[13472.4],[13482],[13521.299999999999],[13589.700000000001],[13554],[13589.5],[13585.700000000001],[13617.9]]]

[]

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Full-time and part-time employment

In trend terms, in October 2022:

full-time employment increased by 16,800 to 9,515,400 people, and part-time employment remained at 4,108,300 people.
part-time share of employment was 30.2%.

Employment-to-population ratio

In trend terms, in October 2022, the employment-to-population ratio remained at 64.3%.

The employment-to-population ratio provides a measure of employment relative to the size of the population.

Employment-to-population ratio
	Trend (%)	Seasonally adjusted (%)
Oct-12	61.6	61.7
Nov-12	61.6	61.5
Dec-12	61.6	61.5
Jan-13	61.5	61.8
Feb-13	61.5	61.7
Mar-13	61.5	61.4
Apr-13	61.4	61.5
May-13	61.4	61.4
Jun-13	61.3	61.4
Jul-13	61.3	61.2
Aug-13	61.2	61.1
Sep-13	61.1	61.2
Oct-13	61.0	61.1
Nov-13	60.9	60.9
Dec-13	60.8	60.7
Jan-14	60.8	60.7
Feb-14	60.8	60.8
Mar-14	60.8	60.9
Apr-14	60.8	60.9
May-14	60.8	60.7
Jun-14	60.8	60.8
Jul-14	60.8	60.8
Aug-14	60.7	60.7
Sep-14	60.7	60.6
Oct-14	60.7	60.5
Nov-14	60.7	60.5
Dec-14	60.7	60.7
Jan-15	60.7	60.6
Feb-15	60.8	60.9
Mar-15	60.8	60.9
Apr-15	60.9	60.8
May-15	60.9	61.0
Jun-15	60.9	60.9
Jul-15	61.0	61.0
Aug-15	61.1	61.0
Sep-15	61.2	61.0
Oct-15	61.3	61.3
Nov-15	61.3	61.4
Dec-15	61.4	61.4
Jan-16	61.4	61.3
Feb-16	61.3	61.3
Mar-16	61.3	61.3
Apr-16	61.3	61.2
May-16	61.2	61.1
Jun-16	61.2	61.2
Jul-16	61.2	61.3
Aug-16	61.1	61.0
Sep-16	61.1	60.9
Oct-16	61.0	61.0
Nov-16	61.0	61.0
Dec-16	60.9	61.0
Jan-17	60.9	61.0
Feb-17	61.0	60.9
Mar-17	61.1	61.1
Apr-17	61.2	61.3
May-17	61.3	61.3
Jun-17	61.4	61.5
Jul-17	61.6	61.5
Aug-17	61.7	61.7
Sep-17	61.8	61.8
Oct-17	61.8	61.8
Nov-17	61.9	62.0
Dec-17	62.0	62.1
Jan-18	62.0	62.1
Feb-18	62.0	62.0
Mar-18	62.0	62.0
Apr-18	61.9	62.0
May-18	62.0	61.9
Jun-18	62.0	62.2
Jul-18	62.1	62.0
Aug-18	62.1	62.2
Sep-18	62.2	62.2
Oct-18	62.3	62.3
Nov-18	62.3	62.4
Dec-18	62.3	62.4
Jan-19	62.3	62.4
Feb-19	62.4	62.3
Mar-19	62.4	62.3
Apr-19	62.5	62.5
May-19	62.6	62.5
Jun-19	62.6	62.5
Jul-19	62.7	62.5
Aug-19	62.7	62.7
Sep-19	62.6	62.7
Oct-19	62.6	62.5
Nov-19	62.6	62.6
Dec-19	62.5	62.6
Jan-20	62.5	62.5
Feb-20	62.4	62.5
Mar-20	62.3	62.4
Apr-20		59.5
May-20		58.1
Jun-20		59.3
Jul-20		59.8
Aug-20		60.6
Sep-20		60.4
Oct-20		61.2
Nov-20		61.6
Dec-20		61.7
Jan-21		61.8
Feb-21		62.2
Mar-21		62.5
Apr-21		62.4
May-21		62.8
Jun-21		62.9
Jul-21		62.9
Aug-21		62.3
Sep-21		61.6
Oct-21		61.4
Nov-21		63.2
Dec-21		63.4
Jan-22		63.4
Feb-22		63.8
Mar-22		63.8
Apr-22	64.0	63.9
May-22	64.1	64.1
Jun-22	64.2	64.4
Jul-22	64.3	64.2
Aug-22	64.3	64.3
Sep-22	64.3	64.2
Oct-22	64.3	64.3

Employment-to-population ratio

["","Trend","Seasonally adjusted"]

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9999999994],[64.400000000000006],[64.200000000000003],[64.299999999999997],[64.200000000000003],[64.299999999999997]]]

[]

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Employment-to-population ratio, Seasonally adjusted
	People (%)	Males (%)	Females (%)
Oct-12	61.7	67.9	55.5
Nov-12	61.5	67.7	55.5
Dec-12	61.5	67.9	55.3
Jan-13	61.8	68.0	55.7
Feb-13	61.7	67.8	55.7
Mar-13	61.4	67.4	55.6
Apr-13	61.5	67.5	55.7
May-13	61.4	67.5	55.4
Jun-13	61.4	67.5	55.4
Jul-13	61.2	67.2	55.4
Aug-13	61.1	67.1	55.3
Sep-13	61.2	67.1	55.4
Oct-13	61.1	67.0	55.3
Nov-13	60.9	66.8	55.1
Dec-13	60.7	66.6	54.9
Jan-14	60.7	66.7	55.0
Feb-14	60.8	66.6	55.1
Mar-14	60.9	66.9	55.2
Apr-14	60.9	66.9	55.1
May-14	60.7	66.6	55.1
Jun-14	60.8	66.6	55.1
Jul-14	60.8	66.6	55.1
Aug-14	60.7	66.6	55.0
Sep-14	60.6	66.5	55.0
Oct-14	60.5	66.4	54.8
Nov-14	60.5	66.6	54.6
Dec-14	60.7	66.6	55.0
Jan-15	60.6	66.5	54.9
Feb-15	60.9	66.8	55.2
Mar-15	60.9	66.9	55.1
Apr-15	60.8	66.7	55.2
May-15	61.0	66.8	55.4
Jun-15	60.9	66.6	55.4
Jul-15	61.0	66.8	55.4
Aug-15	61.0	66.6	55.6
Sep-15	61.0	66.6	55.6
Oct-15	61.3	66.9	55.9
Nov-15	61.4	66.9	56.1
Dec-15	61.4	66.9	56.0
Jan-16	61.3	67.0	55.8
Feb-16	61.3	66.8	56.0
Mar-16	61.3	66.8	56.0
Apr-16	61.2	66.6	56.1
May-16	61.1	66.6	55.9
Jun-16	61.2	66.6	56.0
Jul-16	61.3	66.7	56.0
Aug-16	61.0	66.5	55.8
Sep-16	60.9	66.2	55.8
Oct-16	61.0	66.4	55.7
Nov-16	61.0	66.4	55.8
Dec-16	61.0	66.4	55.8
Jan-17	61.0	66.3	55.9
Feb-17	60.9	66.3	55.7
Mar-17	61.1	66.4	56.0
Apr-17	61.3	66.8	55.9
May-17	61.3	66.7	56.2
Jun-17	61.5	66.7	56.4
Jul-17	61.5	66.9	56.3
Aug-17	61.7	66.9	56.7
Sep-17	61.8	66.9	56.9
Oct-17	61.8	66.9	56.8
Nov-17	62.0	67.1	57.0
Dec-17	62.1	67.1	57.3
Jan-18	62.1	67.3	57.1
Feb-18	62.0	67.0	57.1
Mar-18	62.0	66.9	57.2
Apr-18	62.0	66.9	57.2
May-18	61.9	66.9	57.0
Jun-18	62.2	67.1	57.5
Jul-18	62.0	67.2	57.1
Aug-18	62.2	67.4	57.2
Sep-18	62.2	67.3	57.2
Oct-18	62.3	67.3	57.4
Nov-18	62.4	67.4	57.5
Dec-18	62.4	67.4	57.5
Jan-19	62.4	67.5	57.5
Feb-19	62.3	67.2	57.5
Mar-19	62.3	67.3	57.5
Apr-19	62.5	67.2	57.9
May-19	62.5	67.7	57.5
Jun-19	62.5	67.6	57.6
Jul-19	62.5	67.6	57.7
Aug-19	62.7	67.5	58.0
Sep-19	62.7	67.4	58.2
Oct-19	62.5	67.1	58.1
Nov-19	62.6	67.2	58.1
Dec-19	62.6	67.2	58.2
Jan-20	62.5	66.9	58.2
Feb-20	62.5	67.0	58.1
Mar-20	62.4	66.9	58.0
Apr-20	59.5	64.2	55.0
May-20	58.1	63.1	53.4
Jun-20	59.3	64.0	54.7
Jul-20	59.8	64.5	55.2
Aug-20	60.6	65.0	56.2
Sep-20	60.4	64.8	56.2
Oct-20	61.2	65.9	56.7
Nov-20	61.6	66.4	57.0
Dec-20	61.7	66.2	57.4
Jan-21	61.8	66.5	57.3
Feb-21	62.2	66.6	57.9
Mar-21	62.5	66.7	58.5
Apr-21	62.4	66.7	58.2
May-21	62.8	67.0	58.7
Jun-21	62.9	67.4	58.6
Jul-21	62.9	67.6	58.5
Aug-21	62.3	66.8	57.9
Sep-21	61.6	66.2	57.2
Oct-21	61.4	66.1	56.9
Nov-21	63.2	67.6	58.9
Dec-21	63.4	67.9	59.1
Jan-22	63.4	67.5	59.5
Feb-22	63.8	67.8	59.9
Mar-22	63.8	67.9	59.9
Apr-22	63.9	68.0	59.9
May-22	64.1	68.4	59.9
Jun-22	64.4	68.6	60.3
Jul-22	64.2	68.4	60.0
Aug-22	64.3	68.5	60.2
Sep-22	64.2	68.5	60.1
Oct-22	64.3	68.7	60.1

Employment-to-population ratio, Seasonally adjusted

["","People","Males","Females"]

[["Oct-12","Nov-12","Dec-12","Jan-13","Feb-13","Mar-13","Apr-13","May-13","Jun-13","Jul-13","Aug-13","Sep-13","Oct-13","Nov-13","Dec-13","Jan-14","Feb-14","Mar-14","Apr-14","May-14","Jun-14","Jul-14","Aug-14","Sep-14","Oct-14","Nov-14","Dec-14","Jan-15","Feb-15","Mar-15","Apr-15","May-15","Jun-15","Jul-15","Aug-15","Sep-15","Oct-15","Nov-15","Dec-15","Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","Jul-17","Aug-17","Sep-17","Oct-17","Nov-17","Dec-17","Jan-18","Feb-18","Mar-18","Apr-18","May-18","Jun-18","Jul-18","Aug-18","Sep-18","Oct-18","Nov-18","Dec-18","Jan-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20","Jan-21","Feb-21","Mar-21","Apr-21","May-21","Jun-21","Jul-21","Aug-21","Sep-21","Oct-21","Nov-21","Dec-21","Jan-22","Feb-22","Mar-22","Apr-22","May-22","Jun-22","Jul-22","Aug-22","Sep-22","Oct-22"],[[61.700000000000003],[61.5],[61.5],[61.799999999999997],[61.700000000000003],[61.399999999999999],[61.5],[61.399999999999999],[61.399999999999999],[61.200000000000003],[61.100000000000001],[61.200000000000003],[61.100000000000001],[60.899999999999999],[60.700000000000003],[60.700000000000003],[60.799999999999997],[60.899999999999999],[60.899999999999999],[60.700000000000003],[60.799999999999997],[60.799999999999997],[60.700000000000003],[60.600000000000001],[60.5],[60.5],[60.700000000000003],[60.600000000000001],[60.899999999999999],[60.899999999999999],[60.799999999999997],[61],[60.899999999999999],[61],[61],[61],[61.299999999999997],[61.399999999999999],[61.399999999999999],[61.299999999999997],[61.299999999999997],[61.299999999999997],[61.200000000000003],[61.100000000000001],[61.200000000000003],[61.299999999999997],[61],[60.899999999999999],[61],[61],[61],[61],[60.899999999999999],[61.100000000000001],[61.299999999999997],[61.299999999999997],[61.5],[61.5],[61.700000000000003],[61.799999999999997],[61.799999999999997],[62],[62.100000000000001],[62.100000000000001],[62],[62],[62],[61.899999999999999],[62.200000000000003],[62],[62.200000000000003],[62.200000000000003],[62.299999999999997],[62.399999999999999],[62.399999999999999],[62.399999999999999],[62.299999999999997],[62.299999999999997],[62.5],[62.5],[62.5],[62.5],[62.700000000000003],[62.700000000000003],[62.5],[62.600000000000001],[62.600000000000001],[62.5],[62.5],[62.399999999999999],[59.5],[58.100000000000001],[59.299999999999997],[59.799999999999997],[60.600000000000001],[60.399999999999999],[61.200000000000003],[61.600000000000001],[61.700000000000003],[61.799999999999997],[62.200000000000003],[62.5],[62.399999999999999],[62.799999999999997],[62.899999999999999],[62.899999999999999],[62.299999999999997],[61.600000000000001],[61.399999999999999],[63.200000000000003],[63.399999999999999],[63.399999999999999],[63.799999999999997],[63.799999999999997],[63.899999999999999],[64.099999999999994],[64.400000000000006],[64.200000000000003],[64.299999999999997],[64.200000000000003],[64.299999999999997]],[[67.900000000000006],[67.700000000000003],[67.900000000000006],[68],[67.799999999999997],[67.400000000000006],[67.5],[67.5],[67.5],[67.200000000000003],[67.099999999999994],[67.099999999999994],[67],[66.799999999999997],[66.599999999999994],[66.700000000000003],[66.599999999999994],[66.900000000000006],[66.900000000000006],[66.599999999999994],[66.599999999999994],[66.599999999999994],[66.599999999999994],[66.5],[66.400000000000006],[66.599999999999994],[66.599999999999994],[66.5],[66.799999999999997],[66.900000000000006],[66.700000000000003],[66.799999999999997],[66.599999999999994],[66.799999999999997],[66.599999999999994],[66.599999999999994],[66.900000000000006],[66.900000000000006],[66.900000000000006],[67],[66.799999999999997],[66.799999999999997],[66.599999999999994],[66.599999999999994],[66.599999999999994],[66.700000000000003],[66.5],[66.200000000000003],[66.400000000000006],[66.400000000000006],[66.400000000000006],[66.299999999999997],[66.299999999999997],[66.400000000000006],[66.799999999999997],[66.700000000000003],[66.700000000000003],[66.900000000000006],[66.900000000000006],[66.900000000000006],[66.900000000000006],[67.099999999999994],[67.099999999999994],[67.299999999999997],[67],[66.900000000000006],[66.900000000000006],[66.900000000000006],[67.099999999999994],[67.200000000000003],[67.400000000000006],[67.299999999999997],[67.299999999999997],[67.400000000000006],[67.400000000000006],[67.5],[67.200000000000003],[67.299999999999997],[67.200000000000003],[67.700000000000003],[67.599999999999994],[67.599999999999994],[67.5],[67.400000000000006],[67.099999999999994],[67.200000000000003],[67.200000000000003],[66.900000000000006],[67],[66.900000000000006],[64.200000000000003],[63.100000000000001],[64],[64.5],[65],[64.799999999999997],[65.900000000000006],[66.400000000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[]

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Hours worked

In trend terms, in October 2022, monthly hours worked in all jobs increased by 2.7 million hours (0.1%) to 1,864 million hours.

See the article Insights into hours worked for more.

Monthly hours worked in all jobs
	Trend (m)	Seasonally adjusted (m)
Oct-12	1,595.0	1,588.0
Nov-12	1,597.7	1,601.1
Dec-12	1,599.8	1,603.3
Jan-13	1,601.0	1,601.9
Feb-13	1,602.0	1,603.8
Mar-13	1,603.3	1,597.1
Apr-13	1,605.3	1,611.6
May-13	1,607.6	1,605.9
Jun-13	1,609.9	1,605.4
Jul-13	1,611.1	1,615.9
Aug-13	1,610.8	1,620.3
Sep-13	1,609.4	1,608.1
Oct-13	1,608.0	1,605.6
Nov-13	1,606.9	1,604.7
Dec-13	1,606.3	1,605.3
Jan-14	1,606.4	1,598.5
Feb-14	1,607.3	1,606.9
Mar-14	1,608.9	1,614.1
Apr-14	1,611.0	1,603.7
May-14	1,613.2	1,611.8
Jun-14	1,615.1	1,618.7
Jul-14	1,615.9	1,616.6
Aug-14	1,615.7	1,616.9
Sep-14	1,615.0	1,612.3
Oct-14	1,614.9	1,612.7
Nov-14	1,616.5	1,613.4
Dec-14	1,620.1	1,601.1
Jan-15	1,624.8	1,630.1
Feb-15	1,629.5	1,628.1
Mar-15	1,633.0	1,636.5
Apr-15	1,634.9	1,639.2
May-15	1,636.1	1,636.5
Jun-15	1,637.6	1,634.2
Jul-15	1,640.0	1,640.5
Aug-15	1,643.1	1,638.0
Sep-15	1,646.9	1,649.1
Oct-15	1,651.0	1,656.0
Nov-15	1,654.5	1,653.8
Dec-15	1,656.9	1,651.1
Jan-16	1,657.9	1,661.1
Feb-16	1,657.8	1,663.5
Mar-16	1,657.3	1,655.5
Apr-16	1,657.0	1,633.5
May-16	1,657.0	1,664.4
Jun-16	1,657.4	1,657.8
Jul-16	1,658.8	1,662.1
Aug-16	1,661.0	1,664.5
Sep-16	1,663.4	1,660.3
Oct-16	1,665.7	1,665.1
Nov-16	1,668.1	1,667.3
Dec-16	1,670.3	1,674.2
Jan-17	1,672.7	1,695.2
Feb-17	1,675.8	1,663.0
Mar-17	1,679.9	1,679.6
Apr-17	1,684.9	1,667.0
May-17	1,690.6	1,713.3
Jun-17	1,696.6	1,709.1
Jul-17	1,702.5	1,699.9
Aug-17	1,708.1	1,704.9
Sep-17	1,712.9	1,712.6
Oct-17	1,716.8	1,716.4
Nov-17	1,719.8	1,729.2
Dec-17	1,722.0	1,721.1
Jan-18	1,723.6	1,700.9
Feb-18	1,725.3	1,723.3
Mar-18	1,727.9	1,726.6
Apr-18	1,731.3	1,745.1
May-18	1,735.4	1,731.8
Jun-18	1,739.6	1,743.6
Jul-18	1,743.3	1,744.0
Aug-18	1,746.3	1,744.2
Sep-18	1,748.7	1,747.8
Oct-18	1,750.8	1,755.6
Nov-18	1,753.6	1,752.2
Dec-18	1,757.1	1,748.2
Jan-19	1,761.2	1,761.7
Feb-19	1,764.9	1,764.2
Mar-19	1,768.0	1,777.4
Apr-19	1,770.3	1,772.3
May-19	1,772.0	1,766.8
Jun-19	1,773.0	1,770.2
Jul-19	1,774.1	1,774.3
Aug-19	1,775.5	1,779.2
Sep-19	1,777.1	1,780.2
Oct-19	1,778.1	1,774.7
Nov-19	1,778.0	1,775.6
Dec-19	1,776.5	1,782.7
Jan-20	1,773.9	1,775.4
Feb-20	1,771.2	1,772.2
Mar-20	1,770.4	1,767.5
Apr-20		1,589.3
May-20		1,605.0
Jun-20		1,668.6
Jul-20		1,688.1
Aug-20		1,693.2
Sep-20		1,690.9
Oct-20		1,727.3
Nov-20		1,753.6
Dec-20		1,749.5
Jan-21		1,670.8
Feb-21		1,766.3
Mar-21		1,806.5
Apr-21		1,784.9
May-21		1,812.7
Jun-21		1,787.1
Jul-21		1,787.1
Aug-21		1,714.1
Sep-21		1,730.3
Oct-21		1,730.4
Nov-21		1,805.7
Dec-21		1,822.2
Jan-22		1,674.4
Feb-22		1,825.2
Mar-22		1,819.1
Apr-22	1,840.0	1,842.1
May-22	1,845.7	1,850.8
Jun-22	1,850.7	1,855.1
Jul-22	1,854.8	1,847.6
Aug-22	1,858.4	1,860.6
Sep-22	1,861.5	1,854.3
Oct-22	1,864.2	1,897.5

Monthly hours worked in all jobs

["","Trend","Seasonally adjusted"]

[["Oct-12","Nov-12","Dec-12","Jan-13","Feb-13","Mar-13","Apr-13","May-13","Jun-13","Jul-13","Aug-13","Sep-13","Oct-13","Nov-13","Dec-13","Jan-14","Feb-14","Mar-14","Apr-14","May-14","Jun-14","Jul-14","Aug-14","Sep-14","Oct-14","Nov-14","Dec-14","Jan-15","Feb-15","Mar-15","Apr-15","May-15","Jun-15","Jul-15","Aug-15","Sep-15","Oct-15","Nov-15","Dec-15","Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","Jul-17","Aug-17","Sep-17","Oct-17","Nov-17","Dec-17","Jan-18","Feb-18","Mar-18","Apr-18","May-18","Jun-18","Jul-18","Aug-18","Sep-18","Oct-18","Nov-18","Dec-18","Jan-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20","Jan-21","Feb-21","Mar-21","Apr-21","May-21","Jun-21","Jul-21","Aug-21","Sep-21","Oct-21","Nov-21","Dec-21","Jan-22","Feb-22","Mar-22","Apr-22","May-22","Jun-22","Jul-22","Aug-22","Sep-22","Oct-22"],[[1595],[1597.7],[1599.8],[1601],[1602],[1603.3],[1605.3],[1607.5999999999999],[1609.9000000000001],[1611.0999999999999],[1610.8],[1609.4000000000001],[1608],[1606.9000000000001],[1606.3],[1606.4000000000001],[1607.3],[1608.9000000000001],[1611],[1613.2],[1615.0999999999999],[1615.9000000000001],[1615.7],[1615],[1614.9000000000001],[1616.5],[1620.0999999999999],[1624.8],[1629.5],[1633],[1634.9000000000001],[1636.0999999999999],[1637.5999999999999],[1640],[1643.0999999999999],[1646.9000000000001],[1651],[1654.5],[1656.9000000000001],[1657.9000000000001],[1657.8],[1657.3],[1657],[1657],[1657.4000000000001],[1658.8],[1661],[1663.4000000000001],[1665.7],[1668.0999999999999],[1670.3],[1672.7],[1675.8],[1679.9000000000001],[1684.9000000000001],[1690.5999999999999],[1696.5999999999999],[1702.5],[1708.0999999999999],[1712.9000000000001],[1716.8],[1719.8],[1722],[1723.5999999999999],[1725.3],[1727.9000000000001],[1731.3],[1735.4000000000001],[1739.5999999999999],[1743.3],[1746.3],[1748.7],[1750.8],[1753.5999999999999],[1757.0999999999999],[1761.2],[1764.9000000000001],[1768],[1770.3],[1772],[1773],[1774.0999999999999],[1775.5],[1777.0999999999999],[1778.0999999999999],[1778],[1776.5],[1773.9000000000001],[1771.2],[1770.4000000000001],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[1840],[1845.7],[1850.7],[1854.8],[1858.4000000000001],[1861.5],[1864.2]],[[1588],[1601.0999999999999],[1603.3],[1601.9000000000001],[1603.8],[1597.0999999999999],[1611.5999999999999],[1605.9000000000001],[1605.4000000000001],[1615.9000000000001],[1620.3],[1608.0999999999999],[1605.5999999999999],[1604.7],[1605.3],[1598.5],[1606.9000000000001],[1614.0999999999999],[1603.7],[1611.8],[1618.7],[1616.5999999999999],[1616.9000000000001],[1612.3],[1612.7],[1613.4000000000001],[1601.0999999999999],[1630.0999999999999],[1628.0999999999999],[1636.5],[1639.2],[1636.5],[1634.2],[1640.5],[1638],[1649.0999999999999],[1656],[1653.8],[1651.0999999999999],[1661.0999999999999],[1663.5],[1655.5],[1633.5],[1664.4000000000001],[1657.8],[1662.0999999999999],[1664.5],[1660.3],[1665.0999999999999],[1667.3],[1674.2],[1695.2],[1663],[1679.5999999999999],[1667],[1713.3],[1709.0999999999999],[1699.9000000000001],[1704.9000000000001],[1712.5999999999999],[1716.4000000000001],[1729.2],[1721.0999999999999],[1700.9000000000001],[1723.3],[1726.5999999999999],[1745.0999999999999],[1731.8],[1743.5999999999999],[1744],[1744.2],[1747.8],[1755.5999999999999],[1752.2],[1748.2],[1761.7],[1764.2],[1777.4000000000001],[1772.3],[1766.8],[1770.2],[1774.3],[1779.2],[1780.2],[1774.7],[1775.5999999999999],[1782.7],[1775.4000000000001],[1772.2],[1767.5],[1589.3],[1605],[1668.5999999999999],[1688.0999999999999],[1693.2],[1690.9000000000001],[1727.3],[1753.5999999999999],[1749.5],[1670.8],[1766.3],[1806.5],[1784.9000000000001],[1812.7],[1787.0999999999999],[1787.0999999999999],[1714.0999999999999],[1730.3],[1730.4000000000001],[1805.7],[1822.2],[1674.4000000000001],[1825.2],[1819.0999999999999],[1842.0999999999999],[1850.8],[1855.0999999999999],[1847.5999999999999],[1860.5999999999999],[1854.3],[1897.5]]]

[]

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Monthly hours worked in all jobs, Seasonally adjusted
	Hours worked (m)	Yearly change (%)
Oct-12	1,588	-0.4
Nov-12	1,601	0.9
Dec-12	1,603	1.0
Jan-13	1,602	0.7
Feb-13	1,604	1.0
Mar-13	1,597	0.1
Apr-13	1,612	0.8
May-13	1,606	0.0
Jun-13	1,605	1.7
Jul-13	1,616	1.7
Aug-13	1,620	2.0
Sep-13	1,608	0.6
Oct-13	1,606	1.1
Nov-13	1,605	0.2
Dec-13	1,605	0.1
Jan-14	1,599	-0.2
Feb-14	1,607	0.2
Mar-14	1,614	1.1
Apr-14	1,604	-0.5
May-14	1,612	0.4
Jun-14	1,619	0.8
Jul-14	1,617	0.0
Aug-14	1,617	-0.2
Sep-14	1,612	0.3
Oct-14	1,613	0.4
Nov-14	1,613	0.5
Dec-14	1,601	-0.3
Jan-15	1,630	2.0
Feb-15	1,628	1.3
Mar-15	1,636	1.4
Apr-15	1,639	2.2
May-15	1,637	1.5
Jun-15	1,634	1.0
Jul-15	1,640	1.5
Aug-15	1,638	1.3
Sep-15	1,649	2.3
Oct-15	1,656	2.7
Nov-15	1,654	2.5
Dec-15	1,651	3.1
Jan-16	1,661	1.9
Feb-16	1,664	2.2
Mar-16	1,656	1.2
Apr-16	1,634	-0.3
May-16	1,664	1.7
Jun-16	1,658	1.4
Jul-16	1,662	1.3
Aug-16	1,664	1.6
Sep-16	1,660	0.7
Oct-16	1,665	0.5
Nov-16	1,667	0.8
Dec-16	1,674	1.4
Jan-17	1,695	2.1
Feb-17	1,663	0.0
Mar-17	1,680	1.5
Apr-17	1,667	2.0
May-17	1,713	2.9
Jun-17	1,709	3.1
Jul-17	1,700	2.3
Aug-17	1,705	2.4
Sep-17	1,713	3.1
Oct-17	1,716	3.1
Nov-17	1,729	3.7
Dec-17	1,721	2.8
Jan-18	1,701	0.3
Feb-18	1,723	3.6
Mar-18	1,727	2.8
Apr-18	1,745	4.7
May-18	1,732	1.1
Jun-18	1,744	2.0
Jul-18	1,744	2.6
Aug-18	1,744	2.3
Sep-18	1,748	2.1
Oct-18	1,756	2.3
Nov-18	1,752	1.3
Dec-18	1,748	1.6
Jan-19	1,762	3.6
Feb-19	1,764	2.4
Mar-19	1,777	2.9
Apr-19	1,772	1.6
May-19	1,767	2.0
Jun-19	1,770	1.5
Jul-19	1,774	1.7
Aug-19	1,779	2.0
Sep-19	1,780	1.9
Oct-19	1,775	1.1
Nov-19	1,776	1.3
Dec-19	1,783	2.0
Jan-20	1,775	0.8
Feb-20	1,772	0.5
Mar-20	1,767	-0.6
Apr-20	1,589	-10.3
May-20	1,605	-9.2
Jun-20	1,669	-5.7
Jul-20	1,688	-4.9
Aug-20	1,693	-4.8
Sep-20	1,691	-5.0
Oct-20	1,727	-2.7
Nov-20	1,754	-1.2
Dec-20	1,750	-1.9
Jan-21	1,671	-5.9
Feb-21	1,766	-0.3
Mar-21	1,807	2.2
Apr-21	1,785	12.3
May-21	1,813	12.9
Jun-21	1,787	7.1
Jul-21	1,787	5.9
Aug-21	1,714	1.2
Sep-21	1,730	2.3
Oct-21	1,730	0.2
Nov-21	1,806	3.0
Dec-21	1,822	4.2
Jan-22	1,674	0.2
Feb-22	1,825	3.3
Mar-22	1,819	0.7
Apr-22	1,842	3.2
May-22	1,851	2.1
Jun-22	1,855	3.8
Jul-22	1,848	3.4
Aug-22	1,861	8.5
Sep-22	1,854	7.2
Oct-22	1,897	9.7

Monthly hours worked in all jobs, Seasonally adjusted

["","Hours worked (m)","Yearly change (%)"]

[["Oct-12","Nov-12","Dec-12","Jan-13","Feb-13","Mar-13","Apr-13","May-13","Jun-13","Jul-13","Aug-13","Sep-13","Oct-13","Nov-13","Dec-13","Jan-14","Feb-14","Mar-14","Apr-14","May-14","Jun-14","Jul-14","Aug-14","Sep-14","Oct-14","Nov-14","Dec-14","Jan-15","Feb-15","Mar-15","Apr-15","May-15","Jun-15","Jul-15","Aug-15","Sep-15","Oct-15","Nov-15","Dec-15","Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","Jul-17","Aug-17","Sep-17","Oct-17","Nov-17","Dec-17","Jan-18","Feb-18","Mar-18","Apr-18","May-18","Jun-18","Jul-18","Aug-18","Sep-18","Oct-18","Nov-18","Dec-18","Jan-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20","Jan-21","Feb-21","Mar-21","Apr-21","May-21","Jun-21","Jul-21","Aug-21","Sep-21","Oct-21","Nov-21","Dec-21","Jan-22","Feb-22","Mar-22","Apr-22","May-22","Jun-22","Jul-22","Aug-22","Sep-22","Oct-22"],[[1588],[1601],[1603],[1602],[1604],[1597],[1612],[1606],[1605],[1616],[1620],[1608],[1606],[1605],[1605],[1599],[1607],[1614],[1604],[1612],[1619],[1617],[1617],[1612],[1613],[1613],[1601],[1630],[1628],[1636],[1639],[1637],[1634],[1640],[1638],[1649],[1656],[1654],[1651],[1661],[1664],[1656],[1634],[1664],[1658],[1662],[1664],[1660],[1665],[1667],[1674],[1695],[1663],[1680],[1667],[1713],[1709],[1700],[1705],[1713],[1716],[1729],[1721],[1701],[1723],[1727],[1745],[1732],[1744],[1744],[1744],[1748],[1756],[1752],[1748],[1762],[1764],[1777],[1772],[1767],[1770],[1774],[1779],[1780],[1775],[1776],[1783],[1775],[1772],[1767],[1589],[1605],[1669],[1688],[1693],[1691],[1727],[1754],[1750],[1671],[1766],[1807],[1785],[1813],[1787],[1787],[1714],[1730],[1730],[1806],[1822],[1674],[1825],[1819],[1842],[1851],[1855],[1848],[1861],[1854],[1897]],[[-0.40000000000000002],[0.90000000000000002],[1],[0.69999999999999996],[1],[0.10000000000000001],[0.80000000000000004],[0],[1.7],[1.7],[2],[0.59999999999999998],[1.1000000000000001],[0.20000000000000001],[0.10000000000000001],[-0.20000000000000001],[0.20000000000000001],[1.1000000000000001],[-0.5],[0.40000000000000002],[0.80000000000000004],[0],[-0.20000000000000001],[0.29999999999999999],[0.40000000000000002],[0.5],[-0.29999999999999999],[2],[1.3],[1.3999999999999999],[2.2000000000000002],[1.5],[1],[1.5],[1.3],[2.2999999999999998],[2.7000000000000002],[2.5],[3.1000000000000001],[1.8999999999999999],[2.2000000000000002],[1.2],[-0.29999999999999999],[1.7],[1.3999999999999999],[1.3],[1.6000000000000001],[0.69999999999999996],[0.5],[0.80000000000000004],[1.3999999999999999],[2.1000000000000001],[0],[1.5],[2],[2.8999999999999999],[3.1000000000000001],[2.2999999999999998],[2.3999999999999999],[3.1000000000000001],[3.1000000000000001],[3.7000000000000002],[2.7999999999999998],[0.29999999999999999],[3.6000000000000001],[2.7999999999999998],[4.7000000000000002],[1.1000000000000001],[2],[2.6000000000000001],[2.2999999999999998],[2.1000000000000001],[2.2999999999999998],[1.3],[1.6000000000000001],[3.6000000000000001],[2.3999999999999999],[2.8999999999999999],[1.6000000000000001],[2],[1.5],[1.7],[2],[1.8999999999999999],[1.1000000000000001],[1.3],[2],[0.80000000000000004],[0.5],[-0.59999999999999998],[-10.300000000000001],[-9.1999999999999993],[-5.7000000000000002],[-4.9000000000000004],[-4.7999999999999998],[-5],[-2.7000000000000002],[-1.2],[-1.8999999999999999],[-5.9000000000000004],[-0.29999999999999999],[2.2000000000000002],[12.300000000000001],[12.9],[7.0999999999999996],[5.9000000000000004],[1.2],[2.2999999999999998],[0.20000000000000001],[3],[4.2000000000000002],[0.20000000000000001],[3.2999999999999998],[0.69999999999999996],[3.2000000000000002],[2.1000000000000001],[3.7999999999999998],[3.3999999999999999],[8.5],[7.2000000000000002],[9.6999999999999993]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"","table_units":"","axis_min":"-11","axis_max":"14","tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"value":"1","axis_id":"1","axis_title":"Millions","axis_units":"","tooltip_units":"","table_units":"","axis_min":"1500","axis_max":"1950","tick_interval":"50","precision":"0","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Participation

In trend terms, in October 2022, the participation rate:

remained at 66.6%.
remained at 71.0% for men and increased to 62.4% for women.

Participation rate
	Trend (%)	Seasonally adjusted (%)
Oct-12	65.1	65.2
Nov-12	65.1	65.0
Dec-12	65.1	65.0
Jan-13	65.1	65.3
Feb-13	65.1	65.2
Mar-13	65.1	65.1
Apr-13	65.1	65.1
May-13	65.1	65.0
Jun-13	65.0	65.1
Jul-13	65.0	64.9
Aug-13	64.9	64.9
Sep-13	64.8	64.9
Oct-13	64.8	64.8
Nov-13	64.7	64.6
Dec-13	64.6	64.5
Jan-14	64.6	64.6
Feb-14	64.5	64.6
Mar-14	64.6	64.7
Apr-14	64.6	64.7
May-14	64.6	64.6
Jun-14	64.7	64.7
Jul-14	64.7	64.8
Aug-14	64.7	64.7
Sep-14	64.7	64.7
Oct-14	64.7	64.7
Nov-14	64.7	64.5
Dec-14	64.7	64.6
Jan-15	64.7	64.7
Feb-15	64.8	64.9
Mar-15	64.8	64.9
Apr-15	64.8	64.8
May-15	64.9	64.8
Jun-15	64.9	64.8
Jul-15	64.9	65.1
Aug-15	65.0	64.9
Sep-15	65.1	65.0
Oct-15	65.1	65.2
Nov-15	65.2	65.2
Dec-15	65.2	65.1
Jan-16	65.1	65.2
Feb-16	65.1	65.0
Mar-16	65.0	64.9
Apr-16	65.0	64.9
May-16	64.9	64.8
Jun-16	64.9	64.9
Jul-16	64.8	65.0
Aug-16	64.8	64.7
Sep-16	64.7	64.5
Oct-16	64.7	64.6
Nov-16	64.7	64.7
Dec-16	64.7	64.8
Jan-17	64.7	64.7
Feb-17	64.7	64.7
Mar-17	64.8	64.9
Apr-17	64.9	64.9
May-17	65.0	64.9
Jun-17	65.1	65.1
Jul-17	65.2	65.2
Aug-17	65.3	65.3
Sep-17	65.3	65.4
Oct-17	65.4	65.3
Nov-17	65.5	65.5
Dec-17	65.6	65.8
Jan-18	65.6	65.8
Feb-18	65.6	65.6
Mar-18	65.6	65.6
Apr-18	65.5	65.6
May-18	65.5	65.4
Jun-18	65.5	65.7
Jul-18	65.5	65.5
Aug-18	65.6	65.7
Sep-18	65.6	65.5
Oct-18	65.6	65.6
Nov-18	65.6	65.7
Dec-18	65.6	65.7
Jan-19	65.6	65.7
Feb-19	65.7	65.5
Mar-19	65.7	65.7
Apr-19	65.9	65.9
May-19	66.0	65.9
Jun-19	66.1	66.0
Jul-19	66.1	66.0
Aug-19	66.1	66.2
Sep-19	66.1	66.1
Oct-19	66.0	66.0
Nov-19	66.0	66.0
Dec-19	65.9	65.9
Jan-20	65.9	66.0
Feb-20	65.8	65.8
Mar-20	65.8	65.8
Apr-20		63.5
May-20		62.5
Jun-20		64.0
Jul-20		64.7
Aug-20		65.0
Sep-20		64.9
Oct-20		65.8
Nov-20		66.1
Dec-20		66.1
Jan-21		66.0
Feb-21		66.0
Mar-21		66.2
Apr-21		65.9
May-21		66.1
Jun-21		66.2
Jul-21		66.0
Aug-21		65.2
Sep-21		64.7
Oct-21		64.8
Nov-21		66.2
Dec-21		66.2
Jan-22		66.2
Feb-22		66.5
Mar-22		66.4
Apr-22	66.6	66.4
May-22	66.6	66.6
Jun-22	66.6	66.7
Jul-22	66.6	66.4
Aug-22	66.6	66.6
Sep-22	66.6	66.5
Oct-22	66.6	66.5

Participation rate

["","Trend","Seasonally adjusted"]

[["Oct-12","Nov-12","Dec-12","Jan-13","Feb-13","Mar-13","Apr-13","May-13","Jun-13","Jul-13","Aug-13","Sep-13","Oct-13","Nov-13","Dec-13","Jan-14","Feb-14","Mar-14","Apr-14","May-14","Jun-14","Jul-14","Aug-14","Sep-14","Oct-14","Nov-14","Dec-14","Jan-15","Feb-15","Mar-15","Apr-15","May-15","Jun-15","Jul-15","Aug-15","Sep-15","Oct-15","Nov-15","Dec-15","Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","Jul-17","Aug-17","Sep-17","Oct-17","Nov-17","Dec-17","Jan-18","Feb-18","Mar-18","Apr-18","May-18","Jun-18","Jul-18","Aug-18","Sep-18","Oct-18","Nov-18","Dec-18","Jan-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20","Jan-21","Feb-21","Mar-21","Apr-21","May-21","Jun-21","Jul-21","Aug-21","Sep-21","Oct-21","Nov-21","Dec-21","Jan-22","Feb-22","Mar-22","Apr-22","May-22","Jun-22","Jul-22","Aug-22","Sep-22","Oct-22"],[[65.099999999999994],[65.099999999999994],[65.099999999999994],[65.099999999999994],[65.099999999999994],[65.099999999999994],[65.099999999999994],[65.099999999999994],[65],[65],[64.900000000000006],[64.799999999999997],[64.799999999999997],[64.700000000000003],[64.599999999999994],[64.599999999999994],[64.5],[64.599999999999994],[64.599999999999994],[64.599999999999994],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.799999999999997],[64.799999999999997],[64.799999999999997],[64.900000000000006],[64.900000000000006],[64.900000000000006],[65],[65.099999999999994],[65.099999999999994],[65.200000000000003],[65.200000000000003],[65.099999999999994],[65.099999999999994],[65],[65],[64.900000000000006],[64.900000000000006],[64.799999999999997],[64.799999999999997],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.799999999999997],[64.900000000000006],[65],[65.099999999999994],[65.200000000000003],[65.299999999999997],[65.299999999999997],[65.400000000000006],[65.5],[65.599999999999994],[65.599999999999994],[65.599999999999994],[65.599999999999994],[65.5],[65.5],[65.5],[65.5],[65.599999999999994],[65.599999999999994],[65.599999999999994],[65.599999999999994],[65.599999999999994],[65.599999999999994],[65.700000000000003],[65.700000000000003],[65.900000000000006],[66],[66.099999999999994],[66.099999999999994],[66.099999999999994],[66.099999999999994],[66],[66],[65.900000000000006],[65.900000000000006],[65.799999999999997],[65.799999999999997],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[66.599999999999994],[66.599999999999994],[66.599999999999994],[66.599999999999994],[66.599999999999994],[66.599999999999994],[66.599999999999994]],[[65.200000000000003],[65],[65],[65.299999999999997],[65.200000000000003],[65.099999999999994],[65.099999999999994],[65],[65.099999999999994],[64.900000000000006],[64.900000000000006],[64.900000000000006],[64.799999999999997],[64.599999999999994],[64.5],[64.599999999999994],[64.599999999999994],[64.700000000000003],[64.700000000000003],[64.599999999999994],[64.700000000000003],[64.799999999999997],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.5],[64.599999999999994],[64.700000000000003],[64.900000000000006],[64.900000000000006],[64.799999999999997],[64.799999999999997],[64.799999999999997],[65.099999999999994],[64.900000000000006],[65],[65.200000000000003],[65.200000000000003],[65.099999999999994],[65.200000000000003],[65],[64.900000000000006],[64.900000000000006],[64.799999999999997],[64.900000000000006],[65],[64.700000000000003],[64.5],[64.599999999999994],[64.700000000000003],[64.799999999999997],[64.700000000000003],[64.700000000000003],[64.900000000000006],[64.900000000000006],[64.900000000000006],[65.099999999999994],[65.200000000000003],[65.299999999999997],[65.400000000000006],[65.299999999999997],[65.5],[65.799999999999997],[65.799999999999997],[65.599999999999994],[65.599999999999994],[65.599999999999994],[65.400000000000006],[65.700000000000003],[65.5],[65.700000000000003],[65.5],[65.599999999999994],[65.700000000000003],[65.700000000000003],[65.700000000000003],[65.5],[65.700000000000003],[65.900000000000006],[65.900000000000006],[66],[66],[66.200000000000003],[66.099999999999994],[66],[66],[65.900000000000006],[66],[65.799999999999997],[65.799999999999997],[63.5],[62.5],[64],[64.700000000000003],[65],[64.900000000000006],[65.799999999999997],[66.099999999999994],[66.099999999999994],[66],[66],[66.200000000000003],[65.900000000000006],[66.099999999999994],[66.200000000000003],[66],[65.200000000000003],[64.700000000000003],[64.799999999999997],[66.200000000000003],[66.200000000000003],[66.200000000000003],[66.5],[66.400000000000006],[66.400000000000006],[66.599999999999994],[66.700000000000003],[66.400000000000006],[66.599999999999994],[66.5],[66.5]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Participation rate, Seasonally adjusted
	People (%)	Males (%)	Females (%)
Oct-12	65.2	71.8	58.8
Nov-12	65.0	71.5	58.6
Dec-12	65.0	71.7	58.6
Jan-13	65.3	71.9	58.8
Feb-13	65.2	71.7	58.9
Mar-13	65.1	71.5	58.8
Apr-13	65.1	71.5	59.0
May-13	65.0	71.6	58.7
Jun-13	65.1	71.6	58.7
Jul-13	64.9	71.3	58.7
Aug-13	64.9	71.3	58.7
Sep-13	64.9	71.2	58.7
Oct-13	64.8	71.2	58.7
Nov-13	64.6	71.0	58.4
Dec-13	64.5	70.9	58.2
Jan-14	64.6	70.8	58.5
Feb-14	64.6	70.7	58.6
Mar-14	64.7	70.9	58.8
Apr-14	64.7	71.0	58.5
May-14	64.6	70.7	58.6
Jun-14	64.7	70.9	58.7
Jul-14	64.8	71.0	58.7
Aug-14	64.7	70.9	58.6
Sep-14	64.7	70.7	58.8
Oct-14	64.7	70.9	58.7
Nov-14	64.5	71.1	58.2
Dec-14	64.6	70.8	58.6
Jan-15	64.7	71.1	58.6
Feb-15	64.9	71.2	58.8
Mar-15	64.9	71.3	58.6
Apr-15	64.8	71.1	58.7
May-15	64.8	71.0	58.9
Jun-15	64.8	70.9	58.9
Jul-15	65.1	71.1	59.3
Aug-15	64.9	71.0	59.1
Sep-15	65.0	71.0	59.2
Oct-15	65.2	71.1	59.4
Nov-15	65.2	70.9	59.7
Dec-15	65.1	70.9	59.5
Jan-16	65.2	71.3	59.4
Feb-16	65.0	70.7	59.4
Mar-16	64.9	70.8	59.3
Apr-16	64.9	70.5	59.4
May-16	64.8	70.6	59.3
Jun-16	64.9	70.4	59.6
Jul-16	65.0	70.6	59.5
Aug-16	64.7	70.5	59.1
Sep-16	64.5	70.1	59.1
Oct-16	64.6	70.3	59.0
Nov-16	64.7	70.3	59.3
Dec-16	64.8	70.5	59.3
Jan-17	64.7	70.2	59.4
Feb-17	64.7	70.4	59.2
Mar-17	64.9	70.5	59.5
Apr-17	64.9	70.6	59.4
May-17	64.9	70.6	59.5
Jun-17	65.1	70.6	59.8
Jul-17	65.2	70.8	59.7
Aug-17	65.3	70.8	60.0
Sep-17	65.4	70.8	60.2
Oct-17	65.3	70.6	60.1
Nov-17	65.5	71.0	60.3
Dec-17	65.8	71.1	60.7
Jan-18	65.8	71.2	60.5
Feb-18	65.6	71.0	60.5
Mar-18	65.6	70.8	60.5
Apr-18	65.6	70.9	60.5
May-18	65.4	70.7	60.3
Jun-18	65.7	71.0	60.6
Jul-18	65.5	71.0	60.3
Aug-18	65.7	71.1	60.4
Sep-18	65.5	70.8	60.4
Oct-18	65.6	70.9	60.4
Nov-18	65.7	71.1	60.6
Dec-18	65.7	71.0	60.5
Jan-19	65.7	71.0	60.7
Feb-19	65.5	70.7	60.5
Mar-19	65.7	70.9	60.6
Apr-19	65.9	70.9	61.0
May-19	65.9	71.4	60.7
Jun-19	66.0	71.3	60.9
Jul-19	66.0	71.3	60.9
Aug-19	66.2	71.3	61.2
Sep-19	66.1	71.2	61.3
Oct-19	66.0	71.0	61.2
Nov-19	66.0	71.0	61.2
Dec-19	65.9	70.8	61.2
Jan-20	66.0	70.7	61.4
Feb-20	65.8	70.7	61.1
Mar-20	65.8	70.7	61.1
Apr-20	63.5	68.8	58.5
May-20	62.5	67.9	57.4
Jun-20	64.0	69.2	59.1
Jul-20	64.7	69.7	59.8
Aug-20	65.0	69.9	60.2
Sep-20	64.9	69.7	60.2
Oct-20	65.8	70.8	60.9
Nov-20	66.1	71.0	61.4
Dec-20	66.1	70.9	61.4
Jan-21	66.0	71.1	61.1
Feb-21	66.0	70.9	61.3
Mar-21	66.2	70.9	61.8
Apr-21	65.9	70.8	61.3
May-21	66.1	70.8	61.7
Jun-21	66.2	71.1	61.5
Jul-21	66.0	70.8	61.4
Aug-21	65.2	70.1	60.6
Sep-21	64.7	69.3	60.2
Oct-21	64.8	69.7	60.1
Nov-21	66.2	70.8	61.8
Dec-21	66.2	70.9	61.7
Jan-22	66.2	70.5	62.0
Feb-22	66.5	70.8	62.3
Mar-22	66.4	70.9	62.2
Apr-22	66.4	70.8	62.2
May-22	66.6	71.2	62.2
Jun-22	66.7	71.2	62.4
Jul-22	66.4	70.9	62.1
Aug-22	66.6	71.0	62.3
Sep-22	66.5	71.0	62.3
Oct-22	66.5	70.9	62.3

Participation rate, Seasonally adjusted

["","People","Males","Females"]

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[]

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Underemployment

In trend terms, in October 2022:

underemployment rate remained at 6.0%.
underutilisation rate remained at 9.4%.

Underemployment rate and underutilisation rate
	Underemployment rate - Trend (%)	Underemployment rate - Seasonally adjusted (%)	Underutilisation rate - Trend (%)	Underutilisation rate - Seasonally adjusted (%)
Oct-12	6.9	7.0	12.3	12.4
Nov-12	7.0	7.0	12.3	12.3
Dec-12	7.0	7.0	12.4	12.5
Jan-13	7.1	7.0	12.5	12.4
Feb-13	7.1	7.1	12.6	12.5
Mar-13	7.2	7.2	12.7	12.9
Apr-13	7.3	7.2	12.9	12.8
May-13	7.4	7.5	13.0	13.1
Jun-13	7.4	7.5	13.1	13.2
Jul-13	7.5	7.4	13.2	13.0
Aug-13	7.5	7.6	13.2	13.4
Sep-13	7.5	7.4	13.3	13.2
Oct-13	7.5	7.5	13.3	13.3
Nov-13	7.5	7.5	13.3	13.3
Dec-13	7.5	7.5	13.3	13.4
Jan-14	7.5	7.3	13.3	13.3
Feb-14	7.5	7.5	13.3	13.4
Mar-14	7.6	7.5	13.4	13.4
Apr-14	7.7	7.7	13.5	13.5
May-14	7.8	7.8	13.7	13.7
Jun-14	8.0	7.9	14.0	14.0
Jul-14	8.2	8.3	14.3	14.5
Aug-14	8.3	8.4	14.5	14.5
Sep-14	8.5	8.8	14.7	15.0
Oct-14	8.5	8.2	14.8	14.6
Nov-14	8.5	8.6	14.8	14.9
Dec-14	8.5	8.4	14.8	14.5
Jan-15	8.5	8.5	14.7	14.9
Feb-15	8.5	8.5	14.6	14.7
Mar-15	8.4	8.2	14.6	14.3
Apr-15	8.4	8.3	14.5	14.4
May-15	8.4	8.4	14.5	14.3
Jun-15	8.4	8.4	14.5	14.4
Jul-15	8.5	8.6	14.5	14.9
Aug-15	8.6	8.4	14.6	14.5
Sep-15	8.6	8.8	14.6	14.9
Oct-15	8.6	8.7	14.6	14.6
Nov-15	8.6	8.6	14.5	14.4
Dec-15	8.6	8.5	14.4	14.2
Jan-16	8.5	8.5	14.3	14.6
Feb-16	8.4	8.4	14.2	14.1
Mar-16	8.4	8.4	14.1	14.0
Apr-16	8.5	8.6	14.2	14.3
May-16	8.6	8.3	14.2	14.0
Jun-16	8.7	8.8	14.3	14.5
Jul-16	8.7	9.0	14.3	14.7
Aug-16	8.7	8.8	14.3	14.4
Sep-16	8.7	8.7	14.3	14.4
Oct-16	8.6	8.5	14.3	14.1
Nov-16	8.6	8.5	14.3	14.3
Dec-16	8.7	8.6	14.4	14.4
Jan-17	8.7	8.8	14.5	14.5
Feb-17	8.7	9.0	14.5	14.9
Mar-17	8.7	8.6	14.5	14.5
Apr-17	8.7	8.8	14.4	14.4
May-17	8.6	8.7	14.3	14.2
Jun-17	8.6	8.4	14.2	14.0
Jul-17	8.6	8.5	14.1	14.1
Aug-17	8.5	8.6	14.0	14.1
Sep-17	8.5	8.5	14.0	14.0
Oct-17	8.5	8.5	14.0	13.9
Nov-17	8.5	8.5	14.0	13.9
Dec-17	8.5	8.5	14.0	14.1
Jan-18	8.5	8.7	14.0	14.3
Feb-18	8.5	8.5	14.0	14.0
Mar-18	8.5	8.6	14.0	14.1
Apr-18	8.5	8.5	14.0	14.0
May-18	8.5	8.4	13.9	13.8
Jun-18	8.5	8.6	13.8	13.9
Jul-18	8.4	8.5	13.7	13.8
Aug-18	8.4	8.2	13.6	13.5
Sep-18	8.3	8.3	13.5	13.3
Oct-18	8.3	8.3	13.4	13.3
Nov-18	8.2	8.5	13.3	13.6
Dec-18	8.2	8.3	13.2	13.3
Jan-19	8.2	8.1	13.3	13.2
Feb-19	8.3	8.0	13.3	13.0
Mar-19	8.3	8.2	13.4	13.3
Apr-19	8.4	8.5	13.5	13.7
May-19	8.4	8.6	13.6	13.8
Jun-19	8.5	8.2	13.7	13.4
Jul-19	8.5	8.4	13.7	13.7
Aug-19	8.4	8.6	13.7	13.8
Sep-19	8.4	8.3	13.6	13.5
Oct-19	8.3	8.5	13.5	13.8
Nov-19	8.3	8.3	13.5	13.4
Dec-19	8.3	8.2	13.5	13.3
Jan-20	8.4	8.6	13.6	13.9
Feb-20	8.5	8.5	13.7	13.6
Mar-20	8.6	8.8	13.9	14.0
Apr-20		13.8		20.1
May-20		13.2		20.2
Jun-20		11.6		19.1
Jul-20		11.3		18.8
Aug-20		11.3		18.1
Sep-20		11.4		18.3
Oct-20		10.4		17.3
Nov-20		9.3		16.1
Dec-20		8.5		15.1
Jan-21		8.2		14.5
Feb-21		8.3		14.1
Mar-21		7.9		13.5
Apr-21		7.9		13.3
May-21		7.6		12.7
Jun-21		7.9		12.9
Jul-21		8.3		13.0
Aug-21		9.3		13.9
Sep-21		9.2		13.9
Oct-21		9.5		14.7
Nov-21		7.4		12.0
Dec-21		6.6		10.8
Jan-22		6.6		10.8
Feb-22		6.5		10.5
Mar-22		6.3		10.2
Apr-22	6.2	6.2	10.0	10.0
May-22	6.1	5.8	9.8	9.7
Jun-22	6.0	6.1	9.7	9.6
Jul-22	6.0	6.0	9.5	9.4
Aug-22	6.0	5.9	9.5	9.4
Sep-22	6.0	6.0	9.4	9.5
Oct-22	6.0	5.9	9.4	9.3

Underemployment rate and underutilisation rate

["","Underemployment rate - Trend","Underemployment rate - Seasonally adjusted","Underutilisation rate - Trend","Underutilisation rate - Seasonally adjusted"]

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[]

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Large month-to-month changes occurred during the COVID-19 pandemic, resulting in multiple trend breaks. The ABS recommends caution when using trend estimates published in spreadsheets in this release for this period. A list of trend breaks can be found in Labour Force, Australia methodology, October 2022.

Underemployment rate, Seasonally adjusted
	People (%)	Males (%)	Females (%)
Oct-12	7.0	5.2	9.1
Nov-12	7.0	5.3	9.1
Dec-12	7.0	5.3	9.0
Jan-13	7.0	5.3	8.9
Feb-13	7.1	5.4	9.1
Mar-13	7.2	5.5	9.3
Apr-13	7.2	5.5	9.2
May-13	7.5	5.8	9.5
Jun-13	7.5	5.9	9.5
Jul-13	7.4	5.6	9.5
Aug-13	7.6	5.8	9.7
Sep-13	7.4	5.7	9.5
Oct-13	7.5	5.8	9.5
Nov-13	7.5	5.7	9.6
Dec-13	7.5	5.8	9.5
Jan-14	7.3	5.7	9.3
Feb-14	7.5	5.7	9.6
Mar-14	7.5	5.7	9.7
Apr-14	7.7	5.7	9.9
May-14	7.8	5.9	9.9
Jun-14	7.9	6.0	10.2
Jul-14	8.3	6.4	10.6
Aug-14	8.4	6.4	10.7
Sep-14	8.8	6.9	11.1
Oct-14	8.2	6.3	10.4
Nov-14	8.6	6.7	10.9
Dec-14	8.4	6.5	10.7
Jan-15	8.5	6.5	10.9
Feb-15	8.5	6.5	10.9
Mar-15	8.2	5.9	10.8
Apr-15	8.3	6.4	10.6
May-15	8.4	6.4	10.7
Jun-15	8.4	6.5	10.6
Jul-15	8.6	6.9	10.7
Aug-15	8.4	6.5	10.7
Sep-15	8.8	6.7	11.1
Oct-15	8.7	6.7	11.0
Nov-15	8.6	6.7	10.8
Dec-15	8.5	6.3	10.9
Jan-16	8.5	6.6	10.7
Feb-16	8.4	6.5	10.5
Mar-16	8.4	6.6	10.5
Apr-16	8.6	7.1	10.4
May-16	8.3	6.7	10.2
Jun-16	8.8	7.0	10.8
Jul-16	9.0	7.0	11.3
Aug-16	8.8	7.2	10.7
Sep-16	8.7	6.9	10.8
Oct-16	8.5	6.8	10.6
Nov-16	8.5	6.7	10.6
Dec-16	8.6	6.8	10.7
Jan-17	8.8	6.9	11.0
Feb-17	9.0	6.9	11.4
Mar-17	8.6	6.8	10.7
Apr-17	8.8	6.7	11.1
May-17	8.7	6.8	10.8
Jun-17	8.4	6.6	10.5
Jul-17	8.5	6.9	10.5
Aug-17	8.6	6.9	10.6
Sep-17	8.5	6.7	10.6
Oct-17	8.5	6.6	10.6
Nov-17	8.5	6.7	10.6
Dec-17	8.5	6.4	10.8
Jan-18	8.7	7.0	10.7
Feb-18	8.5	6.6	10.5
Mar-18	8.6	6.5	10.9
Apr-18	8.5	6.4	10.8
May-18	8.4	6.5	10.7
Jun-18	8.6	6.6	10.8
Jul-18	8.5	6.4	10.9
Aug-18	8.2	6.1	10.6
Sep-18	8.3	6.3	10.6
Oct-18	8.3	6.2	10.7
Nov-18	8.5	6.6	10.6
Dec-18	8.3	6.4	10.4
Jan-19	8.1	6.2	10.4
Feb-19	8.0	6.2	10.0
Mar-19	8.2	6.5	10.2
Apr-19	8.5	6.9	10.3
May-19	8.6	6.9	10.5
Jun-19	8.2	6.6	10.0
Jul-19	8.4	6.8	10.3
Aug-19	8.6	7.0	10.3
Sep-19	8.3	6.8	10.1
Oct-19	8.5	6.7	10.6
Nov-19	8.3	6.6	10.1
Dec-19	8.2	6.6	10.1
Jan-20	8.6	6.7	10.7
Feb-20	8.5	6.6	10.7
Mar-20	8.8	7.2	10.5
Apr-20	13.8	12.6	15.1
May-20	13.2	12.3	14.2
Jun-20	11.6	10.8	12.6
Jul-20	11.3	10.5	12.2
Aug-20	11.3	10.6	12.1
Sep-20	11.4	10.7	12.2
Oct-20	10.4	9.1	11.8
Nov-20	9.3	7.9	10.8
Dec-20	8.5	7.0	10.2
Jan-21	8.2	6.9	9.6
Feb-21	8.3	7.2	9.6
Mar-21	7.9	6.6	9.3
Apr-21	7.9	6.6	9.4
May-21	7.6	6.5	8.8
Jun-21	7.9	6.8	9.1
Jul-21	8.3	7.1	9.6
Aug-21	9.3	8.6	10.1
Sep-21	9.2	8.5	10.1
Oct-21	9.5	8.9	10.1
Nov-21	7.4	6.2	8.8
Dec-21	6.6	5.6	7.8
Jan-22	6.6	5.5	7.9
Feb-22	6.5	5.4	7.8
Mar-22	6.3	5.0	7.7
Apr-22	6.2	5.0	7.4
May-22	5.8	4.8	6.9
Jun-22	6.1	5.0	7.2
Jul-22	6.0	4.9	7.3
Aug-22	5.9	4.8	7.2
Sep-22	6.0	5.0	7.1
Oct-22	5.9	4.9	7.1

Underemployment rate, Seasonally adjusted

["","People","Males","Females"]

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States and Territories

October 2022 - Trend
	New South Wales	Victoria	Queensland	South Australia	Western Australia	Tasmania	Northern Territory	Australian Capital Territory	Australia
Employed people	4,312,100	3,520,200	2,771,700	895,600	1,464,800	268,100	135,700	237,500	13,623,700
Employed people - monthly change	0.3%	0.0%	0.0%	0.3%	0.0%	0.3%	0.2%	0.3%	0.1%
Employment to population ratio	64.1%	64.5%	64.1%	60.8%	66.6%	59.0%	70.1%	69.2%	64.3%
Employment to population ratio - monthly change	0.1 pts	0.0 pts	-0.1 pts	0.2 pts	-0.1 pts	0.1 pts	-0.1 pts	0.2 pts	0.0 pts
Unemployment rate	3.2%	3.5%	3.4%	4.0%	3.5%	4.2%	4.0%	3.1%	3.4%
Unemployment rate - monthly change	-0.1 pts	0.0 pts	-0.1 pts	-0.1 pts	0.0 pts	0.0 pts	0.0 pts	0.0 pts	0.0 pts
Underemployment rate	5.6%	5.7%	6.5%	6.6%	5.8%	6.8%	5.4%	4.5%	6.0%
Underemployment rate - monthly change	-0.1 pts	0.0 pts	0.1 pts	0.0 pts	0.0 pts	0.0 pts	0.0 pts	0.1 pts	0.0 pts
Participation rate	66.2%	66.8%	66.3%	63.3%	69.0%	61.6%	73.1%	71.4%	66.6%
Participation rate - monthly change	0.1 pts	0.0 pts	-0.2 pts	0.1 pts	-0.1 pts	0.1 pts	-0.1 pts	0.2 pts	0.0 pts

Rotation group analysis

Sample composition and rotation

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

The sample comprises three components:

the matched common sample (people who responded in both the current month and previous month)
the unmatched common sample (people who responded in the current month but who did not respond in the previous month, or vice versa)
the incoming rotation group (replacing people who rotated out)

The matched common sample describes the change observed for the same respondents in the current and previous month, 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 they reflect different households and people. The design of the survey, including the weighting and estimation processes, ensures that these differences are generally relatively minor and do not affect the representativeness of the survey and its estimates. Monthly estimates are designed to be representative, regardless of the relative contribution of the three components of the sample.

The contributions of the three sample components to the original estimates of employed, unemployed and not in the labour force are in the Contribution from sample components to estimates spreadsheet.

Estimates for the incoming and outgoing rotation groups

Incoming and outgoing rotation groups
	September outgoing rotation group	October incoming rotation group	October outgoing rotation group	October estimate (Original)
Employment to population ratio	66.4%	66.1%	62.9%	64.1%
Full-time employment to population ratio	46.1%	46.2%	43.5%	44.7%
Unemployment rate	2.7%	3.0%	3.5%	3.2%
Participation rate	68.2%	68.2%	65.2%	66.3%

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 October 2022, the incoming rotation group in Western Australia had a lower employment-to-population ratio and a lower participation rate than the group it replaced. 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.

Comparability with seasonally adjusted and trend data

The gross flows and rotation group data are in original terms only, and are included to provide additional information on the month-to-month movements. They have a considerable level of inherent sampling variability, which is specifically adjusted for in the trend and seasonally adjusted 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.

Contribution from sample components to estimates

Data files

Download xlsx [42.49 KB]

Data downloads

Labour Force Survey results are released in three stages.

Spreadsheets of the headline indicators are published in this release
Additional, more detailed spreadsheets and pivot tables are published in Labour Force, Australia, Detailed one week after this first release
Longitudinal labour force microdata are released in the ABS DataLab on a monthly basis, one day after the detailed release (see Microdata: Longitudinal Labour Force, Australia)

See the Survey output section of Labour Force, Australia methodology for more information.

Labour Force status

Data files

Table 1. Labour force status by Sex, Australia - Trend, Seasonally adjusted and Original
Download xlsx [701.04 KB]
Table 4. Labour force status by Sex, New South Wales - Trend, Seasonally adjusted and Original
Download xlsx [519.15 KB]
Table 5. Labour force status by Sex, Victoria - Trend, Seasonally adjusted and Original
Download xlsx [518.34 KB]
Table 6. Labour force status by Sex, Queensland - Trend, Seasonally adjusted and Original
Download xlsx [520.95 KB]
Table 7. Labour force status by Sex, South Australia - Trend, Seasonally adjusted and Original
Download xlsx [514.34 KB]
Table 8. Labour force status by Sex, Western Australia - Trend, Seasonally adjusted and Original
Download xlsx [518.1 KB]
Table 9. Labour force status by Sex, Tasmania - Trend, Seasonally adjusted and Original
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Table 10. Labour force status by Sex, Northern Territory - Trend and Original
Download xlsx [466.24 KB]
Table 10a. Labour force status by Sex, Northern Territory - Seasonally adjusted
Download xlsx [161.25 KB]
Table 11. Labour force status by Sex, Australian Capital Territory - Trend and Original
Download xlsx [422.83 KB]
Table 11a. Labour force status by Sex, Australian Capital Territory - Seasonally adjusted
Download xlsx [161.47 KB]
Table 12. Labour force status by Sex, State and Territory - Trend, Seasonally adjusted and Original
Download xlsx [4.27 MB]
Table 12a. Labour force status by Sex, Territory - Seasonally adjusted
Download xlsx [275.98 KB]
Table 13. Labour force status for 15-24 year olds by Sex - Trend, Seasonally adjusted and Original
Download xlsx [686.06 KB]
Table 15. Labour force status for 15-24 year olds by Educational attendance (full-time) and Sex
Download xlsx [769.35 KB]
Table 16. Labour force status for 15-24 year olds by State, Territory and Educational attendance (full-time)
Download xlsx [2.35 MB]
Table 17. Labour force status for 15-19 year olds by Sex - Trend, Seasonally adjusted and Original
Download xlsx [581.72 KB]
Table 18. Labour force status for 15-64 year olds by Sex - Trend, Seasonally adjusted and Original
Download xlsx [696.79 KB]

Hours worked

Data files

Table 19. Monthly hours worked in all jobs by Employed full-time, part-time and Sex and by State and Territory - Trend and Seasonally adjusted
Download xlsx [254.85 KB]
Table 19a. Monthly hours worked in all jobs by Employed full-time, part-time and Sex and Territory - Seasonally adjusted
Download xlsx [60.2 KB]
Table 21. Quarterly hours worked in all jobs by Market and Non-market sector - Seasonally adjusted
Download xlsx [56.99 KB]
EM2a - Employed persons who worked fewer hours than usual by hours actually worked in all jobs and sex, January 1991 onwards (pivot table)
Download xlsx [21.19 MB]
EM2b - Employed persons who worked fewer hours than usual by hours actually worked in all jobs, state and territory, January 1991 onwards (pivot table)
Download xlsx [9.83 MB]

Underemployment and underutilisation

Data files

Table 22. Underutilised persons by Age and Sex - Trend, Seasonally adjusted and Original
Download xlsx [4.77 MB]
Table 23. Underutilised persons by State and Territory and Sex - Trend, Seasonally adjusted and Original
Download xlsx [5.82 MB]
Table 23a. Underutilised persons by Territory and Sex - Seasonally adjusted
Download xlsx [398.11 KB]
Table 24. Underutilised persons by Age and Sex (expanded analytical series)
Download xlsx [437.47 KB]
Table 25. Underutilised persons by State, Territory and Sex (expanded analytical series)
Download xlsx [362.11 KB]

Flows into and out of employment

GM1 - Labour force status and Gross changes (flows) by Age, Sex, State and Territory, February 1991 onwards

Data files

Download xlsx [96.62 MB]

All time series spreadsheets

Data files

Download zip [25.99 MB]

Data Explorer datasets

Caution: Data in the Data Explorer is currently released after the 11:30am release on the ABS website. Please check the time period when using Data Explorer.

For information on Data Explorer and how it works, see the Data Explorer user guide.

Labour force status by Sex, State and Territory - Number of people employed, unemployed and not in the labour force, monthly, February 1978 and onwards

Article archive

Retrenchment (November 2015)

Did you know - Underemployment (June 2013)

Exploring labour force data on joblessness (February 2012)

Hours worked

Insights into hours worked (September 2022)

Insights into hours worked (August 2022)

Insights into hours worked (July 2022)

Insight into hours worked (June 2022)

Insight into hours worked (May 2022)

Insight into hours worked (April 2022)

Insights into hours worked (March 2022)

Insights into hours worked (February 2022)

Insights into hours worked (January 2022)

Insights into hours worked (December 2021)

Insights into hours worked (November 2021)

Insights into hours worked (October 2021)

Insights into hours worked (September 2021)

Insights into hours worked (August 2021)

Insights into hours worked (July 2021)

Insights into hours worked (June 2021)

Insights into hours worked (May 2021)

Insights into hours worked (April 2021)

Insights into hours worked (March 2021)

How many people work one hour a week? (March 2021)

Insights into hours worked (February 2021)

Insights into hours worked (January 2021)

Insights into hours worked (December 2020)

Insights into hours worked (November 2020)

Insights into hours worked (October 2020)

Insights into hours worked (September 2020)

Insights into hours worked (August 2020)

State and territory employment and hours worked (August 2020)

Insights into hours worked (July 2020)

Insights into hours worked (June 2020)

Hours not worked - Hours-based measures of unemployment and underemployment (May 2020)

Insights into hours worked (May 2020)

People working fewer hours (April 2020)

Insights into hours worked (April 2020)

Reasons for working fewer hours (March 2020)

Insights into hours worked (March 2020)

Insights into detailed Labour Force Survey hours worked data (February 2020)

Revisions to monthly hours worked in all jobs (July 2016)

Regional estimates

Impacts on the Australian labour market: A regional perspective (April 2020)

Advice on reporting regional labour force data (December 2017)

Analysis of changes to Labour Force regional estimates (February 2014)

LFS content and output

ABS Labour Statistics: A broad range of information (July 2019)

500th issue of 6202.0 (January 2018)

Labour Force Survey pivot tables (August 2017)

Expanded education data from the Labour Force Survey (August 2016)

Change to Status in Employment output (July 2015)

Forthcoming improvements to the content of the Labour Force and Labour Supplementary Surveys (January 2013)

Upcoming changes to the Labour Force Survey (July 2012)

Labour Household Surveys content review (June 2012)

Methodology

Improvement to the trending method for Labour Force rates and ratios (October 2019)

Assessing volatility in Labour Force statistics (July 2019)

On-line collection in the Labour Force Survey (April 2019)

Annual seasonal re-analysis (March 2019)

Improvements to trend estimation (March 2018)

Major re-benchmarking of Labour Force series (October 2017)

Changes to filter lengths used in labour statistics (February 2017)

Update on recommendation 7 from the independent technical review (November 2015)

Progress with recommendations from the independent technical review (July 2015)

Update on recommendations 10 and 11 from the independent technical review (June 2015)

Update on recommendation 7 from the independent technical review (May 2015)

Update on recommendations from the independent technical review (March 2015)

Rebenchmarking Labour Force estimates (February 2015)

Independent technical review into the Labour Force Survey (November 2014)

Removing the effect of supplementary surveys from seasonally adjusted estimates (October 2014)

Rebenchmarking Labour Force estimates to the 2011 Census (January 2014)

New Labour Force sample design (May 2013)

Transition to online collection of the Labour Force survey (April 2013)

Rebenchmarking of Labour Force series (November 2012)

Population benchmarks and Labour Force Survey (April 2012)

Historical revisions (February 2011)

Impact of the floods on the Labour Force Survey (January 2011)

Previous catalogue number

This release previously used catalogue number 6202.0.

Methodology

Labour Force, Australia methodology, October 2022

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APA

Labour Force, Australia

APA

Key statistics

Survey impacts and changes

Guide to labour statistics

Articles and other information

Seasonal adjustment and trend estimates

Major rebenchmarking of labour force estimates

Survey response and timeline

Unemployment

Employment

Flows into and out of employment

Full-time and part-time employment

Employment-to-population ratio

Hours worked

Participation

Underemployment

States and Territories

Rotation group analysis

Sample composition and rotation

Estimates for the incoming and outgoing rotation groups

States and Territories

Comparability with seasonally adjusted and trend data

Contribution from sample components to estimates

Data downloads

Labour Force status

Table 1. Labour force status by Sex, Australia - Trend, Seasonally adjusted and Original

Table 4. Labour force status by Sex, New South Wales - Trend, Seasonally adjusted and Original

Table 5. Labour force status by Sex, Victoria - Trend, Seasonally adjusted and Original

Table 6. Labour force status by Sex, Queensland - Trend, Seasonally adjusted and Original

Table 7. Labour force status by Sex, South Australia - Trend, Seasonally adjusted and Original

Table 8. Labour force status by Sex, Western Australia - Trend, Seasonally adjusted and Original

Table 9. Labour force status by Sex, Tasmania - Trend, Seasonally adjusted and Original

Table 10. Labour force status by Sex, Northern Territory - Trend and Original

Table 10a. Labour force status by Sex, Northern Territory - Seasonally adjusted

Table 11. Labour force status by Sex, Australian Capital Territory - Trend and Original

Table 11a. Labour force status by Sex, Australian Capital Territory - Seasonally adjusted

Table 12. Labour force status by Sex, State and Territory - Trend, Seasonally adjusted and Original

Table 12a. Labour force status by Sex, Territory - Seasonally adjusted

Table 13. Labour force status for 15-24 year olds by Sex - Trend, Seasonally adjusted and Original

Table 15. Labour force status for 15-24 year olds by Educational attendance (full-time) and Sex

Table 16. Labour force status for 15-24 year olds by State, Territory and Educational attendance (full-time)

Table 17. Labour force status for 15-19 year olds by Sex - Trend, Seasonally adjusted and Original

Table 18. Labour force status for 15-64 year olds by Sex - Trend, Seasonally adjusted and Original

Hours worked

Table 19. Monthly hours worked in all jobs by Employed full-time, part-time and Sex and by State and Territory - Trend and Seasonally adjusted

Table 19a. Monthly hours worked in all jobs by Employed full-time, part-time and Sex and Territory - Seasonally adjusted

Table 21. Quarterly hours worked in all jobs by Market and Non-market sector - Seasonally adjusted

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)

Underemployment and underutilisation

Table 22. Underutilised persons by Age and Sex - Trend, Seasonally adjusted and Original

Table 23. Underutilised persons by State and Territory and Sex - Trend, Seasonally adjusted and Original

Table 23a. Underutilised persons by Territory and Sex - Seasonally adjusted

Table 24. Underutilised persons by Age and Sex (expanded analytical series)

Table 25. Underutilised persons by State, Territory and Sex (expanded analytical series)

Flows into and out of employment

GM1 - Labour force status and Gross changes (flows) by Age, Sex, State and Territory, February 1991 onwards

All time series spreadsheets

All time series spreadsheets

Data Explorer datasets

Article archive

Understanding the labour force

Employment and jobs

Unemployment and underemployment

Hours worked

Regional estimates

LFS content and output

Methodology

Previous catalogue number

Methodology

Articles

Historical charts from August 1966 to October 2022

Insights into hours worked, October 2022

Media releases

Unemployment rate falls to 3.4%

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