Labour Force, Australia, May 2026

Main features

Modernising the Labour Force Survey

The ABS is improving how we collect the Labour Force Survey so we can continue producing high-quality labour force statistics, maintain strong response rates, provide a better experience for respondents, and run our business more efficiently.

For further details on these plans, see Modernising the Labour Force Survey, Upcoming changes to Labour Force Survey outputs and How the ABS quality assures Labour Force data during times of change.

Correction to Underemployment and Underutilisation data

The ABS has identified a systems error in the compilation of underemployment data. The number of underemployed persons was underestimated in the April and May 2026 releases of Labour Force, Australia. This issue does not affect the core Labour Force measures. This includes employment, the unemployment rate, the participation rate or hours worked data.

This error impacts Tables in X28 and X29 in the Data downloads section of these releases. References to this data has been temporarily removed (Monday 6th July) and will be updated over the coming days in Labour Force, Australia, May 2026.

We regret any inconvenience as we work to reinstate the tables as soon as possible.

Key statistics - Seasonally adjusted
	Apr-26	May-26	Monthly change	Monthly change (%)	Yearly change	Yearly change (%)
Employed people	14,698,500	14,738,800	40,300	0.30%	147,500	1.00%
Employment to population ratio	63.70%	63.80%	0.1 pts	na	-0.5 pts	na
Unemployed people	689,600	671,300	-18,300	-2.70%	50,300	8.10%
Unemployment rate	4.50%	4.40%	-0.1 pts	na	0.3 pts	na
Participation rate	66.60%	66.70%	0.0 pts	na	-0.3 pts	na
Monthly hours worked in all jobs	2,032 million	2,010 million	-22 million	-1.10%	10 million	0.50%

Key statistics - Trend
	Apr-26	May-26	Monthly change	Monthly change (%)	Yearly change	Yearly change (%)
Employed people	14,733,600	14,753,700	20,200	0.10%	185,000	1.30%
Employment to population ratio	63.80%	63.80%	0.0 pts	na	-0.3 pts	na
Unemployed people	669,800	672,800	3,000	0.50%	41,600	6.60%
Unemployment rate	4.30%	4.40%	0.0 pts	na	0.2 pts	na
Participation rate	66.70%	66.70%	0.0 pts	na	-0.2 pts	na
Monthly hours worked in all jobs	2,016 million	2,018 million	3 million	0.10%	43 million	2.20%

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.

For definitions of labour statistics used in this publication, please refer to Glossary of Labour Force, Australia methodology.

Survey impacts and changes

Labour Force Modernisation

Rotation group analysis

Incoming and outgoing rotation groups
	April outgoing rotation group*	May incoming rotation group**	May outgoing rotation group***	May estimate (Original)
Employment to population ratio	63.2%	65.4%	65.0%	65.0%
Full-time employment to population ratio	43.7%	44.3%	44.4%	44.5%
Unemployment rate	4.7%	4.6%	4.1%	4.3%
Participation rate	66.3%	68.5%	67.8%	67.9%

Survey dates

Reference and Enumeration Dates
Publication	Start of Reference Week	End of Reference Week	Start of Enumeration	End of Enumeration
Apr-26	29th March 2026	11th April 2026	5th April 2026	25th April 2026
May-26	3rd May 2026	16th May 2026	10th May 2026	30th May 2026
Jun-26	31st May 2026	13th June 2026	7th June 2026	27th June 2026
Jul-26	28th June 2026	11th July 2026	5th July 2026	25th July 2026
Aug-26	2nd August 2026	15th August 2026	9th August 2026	29th August 2026
Sep-26	30th August 2026	12th September 2026	6th September 2026	26th September 2026

Quarterly rebenchmarking of labour force statistics

Employment

In May 2026, employment increased by 40,300 people (0.3%) to 14,738,800 people in seasonally adjusted terms. Full-time employment increased by 5,200 to 10,140,800 people, and part-time employment increased by 35,200 to 4,598,000 people.

Employed people
	Trend ('000)	Seasonally adjusted ('000)
May-16	11,961.4	11,941.8
Jun-16	11,967.5	11,963.0
Jul-16	11,971.0	11,996.0
Aug-16	11,973.1	11,955.8
Sep-16	11,974.8	11,942.4
Oct-16	11,977.7	11,961.2
Nov-16	11,983.0	11,987.4
Dec-16	11,992.9	12,017.9
Jan-17	12,010.6	12,039.3
Feb-17	12,036.7	12,015.1
Mar-17	12,071.3	12,075.6
Apr-17	12,113.1	12,132.7
May-17	12,157.7	12,164.8
Jun-17	12,201.1	12,197.4
Jul-17	12,240.6	12,233.0
Aug-17	12,275.1	12,281.9
Sep-17	12,305.4	12,321.8
Oct-17	12,333.2	12,325.4
Nov-17	12,359.5	12,368.4
Dec-17	12,383.4	12,398.2
Jan-18	12,403.3	12,437.5
Feb-18	12,418.6	12,421.7
Mar-18	12,432.3	12,442.2
Apr-18	12,448.1	12,460.1
May-18	12,469.7	12,452.3
Jun-18	12,498.1	12,522.2
Jul-18	12,530.3	12,523.1
Aug-18	12,563.6	12,585.8
Sep-18	12,595.7	12,601.7
Oct-18	12,624.1	12,625.0
Nov-18	12,648.7	12,644.5
Dec-18	12,672.1	12,670.3
Jan-19	12,697.8	12,714.7
Feb-19	12,725.8	12,724.9
Mar-19	12,754.6	12,748.6
Apr-19	12,783.2	12,785.2
May-19	12,810.7	12,791.9
Jun-19	12,834.6	12,804.8
Jul-19	12,853.4	12,837.5
Aug-19	12,867.1	12,883.0
Sep-19	12,877.1	12,903.2
Oct-19	12,886.8	12,853.9
Nov-19	12,897.6	12,874.3
Dec-19	12,908.3	12,924.1
Jan-20	12,916.4	12,931.0
Feb-20	12,920.5	12,930.3
Mar-20	12,920.9	12,925.3
Apr-20		12,346.4
May-20		12,051.5
Jun-20		12,280.3
Jul-20		12,416.7
Aug-20		12,552.3
Sep-20		12,520.2
Oct-20		12,658.4
Nov-20		12,742.2
Dec-20		12,797.8
Jan-21		12,840.8
Feb-21		12,892.9
Mar-21		12,952.5
Apr-21		12,947.1
May-21		13,037.9
Jun-21		13,060.9
Jul-21		13,085.3
Aug-21		12,952.7
Sep-21		12,827.6
Oct-21		12,778.3
Nov-21		13,144.1
Dec-21		13,226.9
Jan-22		13,291.5
Feb-22		13,366.0
Mar-22		13,387.5
Apr-22	13,469.4	13,448.8
May-22	13,526.2	13,487.0
Jun-22	13,576.8	13,586.0
Jul-22	13,621.0	13,594.0
Aug-22	13,658.1	13,666.0
Sep-22	13,688.1	13,674.1
Oct-22	13,714.1	13,713.2
Nov-22	13,740.7	13,781.5
Dec-22	13,772.0	13,778.3
Jan-23	13,810.8	13,800.1
Feb-23	13,855.6	13,838.9
Mar-23	13,902.9	13,928.7
Apr-23	13,948.6	13,927.1
May-23	13,989.8	14,015.3
Jun-23	14,026.0	14,033.9
Jul-23	14,058.9	14,028.8
Aug-23	14,089.0	14,101.5
Sep-23	14,117.3	14,095.6
Oct-23	14,144.1	14,151.9
Nov-23	14,168.3	14,200.5
Dec-23	14,189.7	14,147.1
Jan-24	14,207.7	14,144.4
Feb-24	14,226.4	14,251.4
Mar-24	14,248.2	14,229.4
Apr-24	14,274.0	14,264.1
May-24	14,302.9	14,293.9
Jun-24	14,333.8	14,328.2
Jul-24	14,364.7	14,376.9
Aug-24	14,395.8	14,409.7
Sep-24	14,426.5	14,446.7
Oct-24	14,454.4	14,444.9
Nov-24	14,479.7	14,463.9
Dec-24	14,502.1	14,511.1
Jan-25	14,521.6	14,542.7
Feb-25	14,537.5	14,468.0
Mar-25	14,549.8	14,498.2
Apr-25	14,560.1	14,600.4
May-25	14,568.8	14,591.4
Jun-25	14,578.1	14,580.9
Jul-25	14,588.4	14,613.2
Aug-25	14,601.1	14,600.0
Sep-25	14,614.9	14,609.8
Oct-25	14,630.3	14,643.6
Nov-25	14,647.5	14,604.9
Dec-25	14,665.7	14,662.1
Jan-26	14,683.7	14,696.8
Feb-26	14,700.2	14,719.7
Mar-26	14,716.4	14,739.1
Apr-26	14,733.6	14,698.5
May-26	14,753.7	14,738.8

Employed people

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

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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, May 2026.

Employment-to-population ratio

In May 2026, the employment-to-population ratio rose by 0.1ppt to 63.8% in seasonally adjusted terms. The employment-to-population ratio decreased by 0.1ppt to 67.4% for males, and increased by 0.3ppt to 60.2% for females.

Employment-to-population ratio
	Trend (%)	Seasonally adjusted (%)
May-16	61.2	61.1
Jun-16	61.2	61.2
Jul-16	61.1	61.2
Aug-16	61.0	61.0
Sep-16	61.0	60.8
Oct-16	60.9	60.8
Nov-16	60.8	60.9
Dec-16	60.8	61.0
Jan-17	60.8	60.9
Feb-17	60.8	60.7
Mar-17	60.9	60.9
Apr-17	61.0	61.1
May-17	61.2	61.2
Jun-17	61.3	61.3
Jul-17	61.4	61.4
Aug-17	61.5	61.6
Sep-17	61.6	61.7
Oct-17	61.7	61.6
Nov-17	61.7	61.8
Dec-17	61.8	61.9
Jan-18	61.8	62.0
Feb-18	61.8	61.8
Mar-18	61.7	61.8
Apr-18	61.7	61.8
May-18	61.7	61.7
Jun-18	61.8	61.9
Jul-18	61.9	61.9
Aug-18	62.0	62.1
Sep-18	62.0	62.1
Oct-18	62.1	62.1
Nov-18	62.1	62.1
Dec-18	62.2	62.2
Jan-19	62.2	62.3
Feb-19	62.2	62.2
Mar-19	62.3	62.2
Apr-19	62.4	62.4
May-19	62.4	62.3
Jun-19	62.5	62.3
Jul-19	62.5	62.4
Aug-19	62.5	62.5
Sep-19	62.4	62.5
Oct-19	62.4	62.2
Nov-19	62.3	62.2
Dec-19	62.3	62.4
Jan-20	62.3	62.3
Feb-20	62.2	62.2
Mar-20	62.1	62.1
Apr-20		59.3
May-20		57.9
Jun-20		59.0
Jul-20		59.6
Aug-20		60.3
Sep-20		60.1
Oct-20		60.8
Nov-20		61.2
Dec-20		61.5
Jan-21		61.6
Feb-21		61.9
Mar-21		62.1
Apr-21		62.1
May-21		62.5
Jun-21		62.6
Jul-21		62.7
Aug-21		62.0
Sep-21		61.4
Oct-21		61.1
Nov-21		62.8
Dec-21		63.1
Jan-22		63.3
Feb-22		63.5
Mar-22		63.5
Apr-22	63.8	63.7
May-22	63.9	63.7
Jun-22	64.0	64.1
Jul-22	64.1	64.0
Aug-22	64.2	64.2
Sep-22	64.2	64.1
Oct-22	64.1	64.1
Nov-22	64.1	64.3
Dec-22	64.1	64.1
Jan-23	64.1	64.0
Feb-23	64.1	64.0
Mar-23	64.2	64.3
Apr-23	64.2	64.1
May-23	64.3	64.4
Jun-23	64.3	64.3
Jul-23	64.3	64.1
Aug-23	64.3	64.3
Sep-23	64.2	64.1
Oct-23	64.2	64.3
Nov-23	64.2	64.4
Dec-23	64.2	64.0
Jan-24	64.1	63.8
Feb-24	64.1	64.2
Mar-24	64.1	63.9
Apr-24	64.1	64.0
May-24	64.1	64.1
Jun-24	64.2	64.1
Jul-24	64.2	64.3
Aug-24	64.3	64.3
Sep-24	64.3	64.4
Oct-24	64.3	64.3
Nov-24	64.3	64.3
Dec-24	64.3	64.4
Jan-25	64.3	64.4
Feb-25	64.3	64.0
Mar-25	64.2	64.0
Apr-25	64.2	64.3
May-25	64.1	64.2
Jun-25	64.1	64.1
Jul-25	64.0	64.1
Aug-25	64.0	64.0
Sep-25	64.0	63.9
Oct-25	63.9	64.0
Nov-25	63.9	63.8
Dec-25	63.9	63.9
Jan-26	63.9	64.0
Feb-26	63.9	63.9
Mar-26	63.8	63.9
Apr-26	63.8	63.7
May-26	63.8	63.8

Employment-to-population ratio

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

[["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","Nov-22","Dec-22","Jan-23","Feb-23","Mar-23","Apr-23","May-23","Jun-23","Jul-23","Aug-23","Sep-23","Oct-23","Nov-23","Dec-23","Jan-24","Feb-24","Mar-24","Apr-24","May-24","Jun-24","Jul-24","Aug-24","Sep-24","Oct-24","Nov-24","Dec-24","Jan-25","Feb-25","Mar-25","Apr-25","May-25","Jun-25","Jul-25","Aug-25","Sep-25","Oct-25","Nov-25","Dec-25","Jan-26","Feb-26","Mar-26","Apr-26","May-26"],[[61.229122],[61.180293],[61.117494],[61.046497],[60.972673],[60.903341],[60.843654],[60.801626],[60.795042],[60.829736],[60.909721],[61.032094],[61.174203],[61.314603],[61.437709],[61.536457],[61.615371],[61.680803],[61.735183],[61.77088],[61.779878],[61.762157],[61.737219],[61.726608],[61.748928],[61.80671],[61.88345],[61.965518],[62.042354],[62.100677],[62.137815],[62.165669],[62.201112],[62.247288],[62.301485],[62.360021],[62.417407],[62.458529],[62.471958],[62.456211],[62.420804],[62.382033],[62.346746],[62.309707],[62.260974],[62.199371],[62.133845],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[63.771862],[63.922929],[64.040735],[64.120966],[64.158978],[64.155971],[64.126616],[64.091967],[64.072094],[64.081182],[64.116583],[64.167533],[64.216942],[64.252041],[64.267045],[64.269133],[64.259563],[64.245802],[64.228574],[64.202298],[64.164269],[64.112829],[64.070226],[64.051478],[64.06316],[64.099269],[64.150423],[64.20257],[64.253759],[64.300456],[64.33026],[64.343242],[64.33694],[64.313106],[64.273681],[64.223662],[64.172338],[64.121175],[64.075495],[64.033849],[64.000958],[63.97196],[63.949515],[63.932919],[63.916828],[63.896076],[63.866482],[63.835868],[63.811054],[63.79889]],[[61.134275],[61.173673],[61.249615],[60.953282],[60.793863],[60.814191],[60.872096],[60.951798],[60.947653],[60.713465],[60.906972],[61.124555],[61.216044],[61.30959],[61.403252],[61.563595],[61.678041],[61.634928],[61.787981],[61.875117],[61.959882],[61.770433],[61.761689],[61.778372],[61.667928],[61.942317],[61.853695],[62.069856],[62.054813],[62.099023],[62.12502],[62.181135],[62.291418],[62.234646],[62.243501],[62.361187],[62.333144],[62.335518],[62.401107],[62.528488],[62.53331],[62.218917],[62.242036],[62.406965],[62.342396],[62.241323],[62.120007],[59.316727],[57.879714],[58.957455],[59.62135],[60.281651],[60.136345],[60.795536],[61.193374],[61.455636],[61.643649],[61.875244],[62.142082],[62.086974],[62.492655],[62.573338],[62.670202],[62.014872],[61.396296],[61.096273],[62.779162],[63.108649],[63.283527],[63.505132],[63.474314],[63.662887],[63.742174],[64.108186],[63.998304],[64.189887],[64.081046],[64.116169],[64.287376],[64.125474],[64.038157],[64.030481],[64.257694],[64.111075],[64.377424],[64.323106],[64.137441],[64.30747],[64.118857],[64.254994],[64.356193],[63.995421],[63.837122],[64.173819],[63.929525],[64.009031],[64.066451],[64.144099],[64.263498],[64.311904],[64.378604],[64.283166],[64.280021],[64.402193],[64.414558],[63.956937],[63.964344],[64.341458],[64.228355],[64.109089],[64.149433],[63.990514],[63.932488],[64.00144],[63.753643],[63.92462],[63.959723],[63.943417],[63.911997],[63.657981],[63.754935]]]

[]

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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}]

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, May 2026.

Unemployment

In May 2026, the unemployment rate fell by 0.1ppt to 4.4% in seasonally adjusted terms, with the number of unemployed people decreasing by 18,300 to 671,300 people. The unemployment rate remained at 4.6% for males and decreased by 0.2ppt to 4.1% for females. The youth unemployment rate decreased by 0.6ppt to 10.4%.

Unemployment rate
	Trend (%)	Seasonally adjusted (%)
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	5.7	5.7
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	5.9
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	5.5
Oct-17	5.5	5.4
Nov-17	5.5	5.5
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	5.2
Sep-18	5.2	5.0
Oct-18	5.1	5.0
Nov-18	5.1	5.1
Dec-18	5.0	5.0
Jan-19	5.0	5.0
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	5.3	5.3
Aug-19	5.3	5.3
Sep-19	5.2	5.2
Oct-19	5.2	5.3
Nov-19	5.2	5.2
Dec-19	5.2	5.0
Jan-20	5.2	5.2
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		7.4
Aug-20		6.8
Sep-20		6.9
Oct-20		7.0
Nov-20		6.8
Dec-20		6.6
Jan-21		6.3
Feb-21		5.8
Mar-21		5.7
Apr-21		5.5
May-21		5.1
Jun-21		5.0
Jul-21		4.7
Aug-21		4.6
Sep-21		4.7
Oct-21		5.2
Nov-21		4.6
Dec-21		4.2
Jan-22		4.2
Feb-22		4.0
Mar-22		4.0
Apr-22	3.9	3.8
May-22	3.8	3.9
Jun-22	3.7	3.6
Jul-22	3.6	3.5
Aug-22	3.5	3.5
Sep-22	3.5	3.6
Oct-22	3.5	3.4
Nov-22	3.5	3.5
Dec-22	3.5	3.5
Jan-23	3.6	3.7
Feb-23	3.6	3.6
Mar-23	3.6	3.6
Apr-23	3.6	3.7
May-23	3.6	3.6
Jun-23	3.6	3.5
Jul-23	3.6	3.7
Aug-23	3.7	3.7
Sep-23	3.7	3.6
Oct-23	3.8	3.8
Nov-23	3.8	3.9
Dec-23	3.9	4.0
Jan-24	3.9	4.1
Feb-24	4.0	3.7
Mar-24	4.0	3.9
Apr-24	4.0	4.1
May-24	4.0	4.0
Jun-24	4.1	4.0
Jul-24	4.1	4.2
Aug-24	4.1	4.1
Sep-24	4.1	4.0
Oct-24	4.1	4.1
Nov-24	4.0	3.9
Dec-24	4.0	4.0
Jan-25	4.0	4.1
Feb-25	4.0	4.1
Mar-25	4.1	4.1
Apr-25	4.1	4.0
May-25	4.2	4.1
Jun-25	4.2	4.3
Jul-25	4.3	4.3
Aug-25	4.3	4.3
Sep-25	4.3	4.5
Oct-25	4.3	4.3
Nov-25	4.3	4.3
Dec-25	4.3	4.1
Jan-26	4.3	4.1
Feb-26	4.3	4.3
Mar-26	4.3	4.3
Apr-26	4.3	4.5
May-26	4.4	4.4

Unemployment rate

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

[["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","Nov-22","Dec-22","Jan-23","Feb-23","Mar-23","Apr-23","May-23","Jun-23","Jul-23","Aug-23","Sep-23","Oct-23","Nov-23","Dec-23","Jan-24","Feb-24","Mar-24","Apr-24","May-24","Jun-24","Jul-24","Aug-24","Sep-24","Oct-24","Nov-24","Dec-24","Jan-25","Feb-25","Mar-25","Apr-25","May-25","Jun-25","Jul-25","Aug-25","Sep-25","Oct-25","Nov-25","Dec-25","Jan-26","Feb-26","Mar-26","Apr-26","May-26"],[[5.660246],[5.644131],[5.63775],[5.64197],[5.655629],[5.68736],[5.734366],[5.779887],[5.803483],[5.800404],[5.770906],[5.72369],[5.669243],[5.615047],[5.565093],[5.527857],[5.50864],[5.499434],[5.499116],[5.510961],[5.526355],[5.532192],[5.520548],[5.48967],[5.440418],[5.381082],[5.314367],[5.241686],[5.170267],[5.106777],[5.059537],[5.031074],[5.026059],[5.044873],[5.082124],[5.129314],[5.179844],[5.224987],[5.254291],[5.261257],[5.247467],[5.218774],[5.185197],[5.160133],[5.163402],[5.202645],[5.274913],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[3.855158],[3.753653],[3.652806],[3.564846],[3.508152],[3.48627],[3.494441],[3.519137],[3.548161],[3.566886],[3.575512],[3.580346],[3.585052],[3.593154],[3.608965],[3.635892],[3.67837],[3.732409],[3.790331],[3.844683],[3.893161],[3.931896],[3.959651],[3.980851],[4.004089],[4.035015],[4.064622],[4.082209],[4.081365],[4.06795],[4.05204],[4.03767],[4.025166],[4.022417],[4.03601],[4.063747],[4.102965],[4.152721],[4.208577],[4.262981],[4.302263],[4.321714],[4.319484],[4.307327],[4.297084],[4.297171],[4.308267],[4.327248],[4.348103],[4.361273]],[[5.721078],[5.695128],[5.693439],[5.614965],[5.66553],[5.597426],[5.767759],[5.836851],[5.683855],[5.892793],[5.845132],[5.607777],[5.546527],[5.622543],[5.605583],[5.529897],[5.46456],[5.404601],[5.454954],[5.617317],[5.524187],[5.580942],[5.529316],[5.543057],[5.433718],[5.342443],[5.295018],[5.244257],[5.020752],[5.003092],[5.10987],[5.018525],[5.049426],[4.991914],[5.087526],[5.216657],[5.192671],[5.260615],[5.276572],[5.258757],[5.230344],[5.304289],[5.173519],[5.039984],[5.248644],[5.112041],[5.196892],[6.29746],[6.980559],[7.427174],[7.43802],[6.796145],[6.930958],[6.952021],[6.812925],[6.560398],[6.276242],[5.846061],[5.671598],[5.458544],[5.102058],[5.027327],[4.725844],[4.57567],[4.708097],[5.239081],[4.634834],[4.210541],[4.166391],[4.03036],[3.981379],[3.84571],[3.929828],[3.609891],[3.450789],[3.529268],[3.604041],[3.438241],[3.517295],[3.526799],[3.661786],[3.609247],[3.593173],[3.69701],[3.575586],[3.522542],[3.718752],[3.682353],[3.565228],[3.780899],[3.932818],[3.987194],[4.09289],[3.739456],[3.896071],[4.073134],[3.987463],[4.037162],[4.20233],[4.129858],[4.02365],[4.093863],[3.937014],[3.998532],[4.127652],[4.071336],[4.077709],[4.046898],[4.081901],[4.320202],[4.250091],[4.250147],[4.452073],[4.33439],[4.32273],[4.117946],[4.082555],[4.30171],[4.278411],[4.48134],[4.355949]]]

[]

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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, May 2026.

Participation

In May 2026, the participation rate rose marginally to 66.7% in seasonally adjusted terms. The participation rate fell by 0.1ppt to 70.6% for males and rose by 0.1ppt to 62.8% for females.

Participation rate
	Trend (%)	Seasonally adjusted (%)
May-16	64.9	64.8
Jun-16	64.8	64.9
Jul-16	64.8	64.9
Aug-16	64.7	64.6
Sep-16	64.6	64.4
Oct-16	64.6	64.4
Nov-16	64.5	64.6
Dec-16	64.5	64.7
Jan-17	64.5	64.6
Feb-17	64.6	64.5
Mar-17	64.6	64.7
Apr-17	64.7	64.8
May-17	64.9	64.8
Jun-17	65.0	65.0
Jul-17	65.1	65.0
Aug-17	65.1	65.2
Sep-17	65.2	65.2
Oct-17	65.3	65.2
Nov-17	65.3	65.4
Dec-17	65.4	65.6
Jan-18	65.4	65.6
Feb-18	65.4	65.4
Mar-18	65.3	65.4
Apr-18	65.3	65.4
May-18	65.3	65.2
Jun-18	65.3	65.4
Jul-18	65.4	65.3
Aug-18	65.4	65.5
Sep-18	65.4	65.3
Oct-18	65.4	65.4
Nov-18	65.4	65.5
Dec-18	65.5	65.5
Jan-19	65.5	65.6
Feb-19	65.6	65.5
Mar-19	65.6	65.6
Apr-19	65.7	65.8
May-19	65.8	65.7
Jun-19	65.9	65.8
Jul-19	65.9	65.9
Aug-19	65.9	66.0
Sep-19	65.9	66.0
Oct-19	65.8	65.7
Nov-19	65.8	65.6
Dec-19	65.7	65.7
Jan-20	65.7	65.8
Feb-20	65.6	65.6
Mar-20	65.6	65.5
Apr-20		63.3
May-20		62.2
Jun-20		63.7
Jul-20		64.4
Aug-20		64.7
Sep-20		64.6
Oct-20		65.3
Nov-20		65.7
Dec-20		65.8
Jan-21		65.8
Feb-21		65.7
Mar-21		65.9
Apr-21		65.7
May-21		65.9
Jun-21		65.9
Jul-21		65.8
Aug-21		65.0
Sep-21		64.4
Oct-21		64.5
Nov-21		65.8
Dec-21		65.9
Jan-22		66.0
Feb-22		66.2
Mar-22		66.1
Apr-22	66.3	66.2
May-22	66.4	66.3
Jun-22	66.5	66.5
Jul-22	66.5	66.3
Aug-22	66.5	66.5
Sep-22	66.5	66.5
Oct-22	66.4	66.4
Nov-22	66.4	66.6
Dec-22	66.4	66.5
Jan-23	66.5	66.5
Feb-23	66.5	66.4
Mar-23	66.6	66.7
Apr-23	66.6	66.6
May-23	66.6	66.8
Jun-23	66.7	66.7
Jul-23	66.7	66.6
Aug-23	66.7	66.8
Sep-23	66.7	66.5
Oct-23	66.8	66.8
Nov-23	66.8	67.0
Dec-23	66.8	66.7
Jan-24	66.7	66.6
Feb-24	66.7	66.7
Mar-24	66.7	66.5
Apr-24	66.7	66.7
May-24	66.8	66.7
Jun-24	66.9	66.8
Jul-24	66.9	67.1
Aug-24	67.0	67.1
Sep-24	67.0	67.1
Oct-24	67.0	67.0
Nov-24	67.1	66.9
Dec-24	67.0	67.1
Jan-25	67.0	67.2
Feb-25	67.0	66.7
Mar-25	66.9	66.7
Apr-25	66.9	67.1
May-25	66.9	67.0
Jun-25	66.9	67.0
Jul-25	66.9	67.0
Aug-25	66.9	66.8
Sep-25	66.9	66.9
Oct-25	66.8	66.9
Nov-25	66.8	66.6
Dec-25	66.8	66.7
Jan-26	66.8	66.7
Feb-26	66.7	66.8
Mar-26	66.7	66.8
Apr-26	66.7	66.6
May-26	66.7	66.7

Participation rate

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

[["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","Nov-22","Dec-22","Jan-23","Feb-23","Mar-23","Apr-23","May-23","Jun-23","Jul-23","Aug-23","Sep-23","Oct-23","Nov-23","Dec-23","Jan-24","Feb-24","Mar-24","Apr-24","May-24","Jun-24","Jul-24","Aug-24","Sep-24","Oct-24","Nov-24","Dec-24","Jan-25","Feb-25","Mar-25","Apr-25","May-25","Jun-25","Jul-25","Aug-25","Sep-25","Oct-25","Nov-25","Dec-25","Jan-26","Feb-26","Mar-26","Apr-26","May-26"],[[64.902779],[64.839945],[64.769008],[64.696663],[64.62778],[64.576012],[64.544894],[64.531472],[64.540647],[64.575368],[64.640036],[64.737465],[64.85075],[64.962264],[65.058262],[65.137145],[65.207413],[65.2703],[65.327625],[65.373594],[65.39377],[65.379051],[65.344599],[65.312023],[65.301609],[65.321725],[65.356748],[65.393226],[65.425001],[65.442689],[65.449244],[65.458958],[65.49282],[65.554426],[65.637251],[65.731602],[65.82715],[65.901894],[65.936451],[65.924677],[65.877716],[65.816866],[65.756342],[65.69991],[65.650788],[65.612981],[65.593864],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[66.328948],[66.415953],[66.468708],[66.491277],[66.491605],[66.473414],[66.448624],[66.42972],[66.429105],[66.451429],[66.494087],[66.550263],[66.604757],[66.646762],[66.67326],[66.694057],[66.713534],[66.736688],[66.758959],[66.769369],[66.763478],[66.736853],[66.71178],[66.706984],[66.735301],[66.794434],[66.868369],[66.934997],[66.987774],[67.027084],[67.047032],[67.050521],[67.035219],[67.008465],[66.976874],[66.944101],[66.917958],[66.899316],[66.890639],[66.88515],[66.878236],[66.861524],[66.836507],[66.810673],[66.786709],[66.765086],[66.741902],[66.723144],[66.71175],[66.708217]],[[64.844054],[64.867988],[64.947353],[64.579392],[64.445014],[64.420056],[64.597951],[64.729991],[64.620593],[64.515212],[64.688075],[64.755922],[64.810792],[64.962112],[65.049665],[65.167278],[65.243301],[65.15637],[65.352954],[65.557701],[65.582798],[65.421573],[65.376565],[65.403739],[65.211328],[65.438322],[65.311976],[65.505112],[65.335127],[65.36952],[65.470476],[65.466593],[65.604046],[65.504579],[65.579896],[65.793403],[65.747179],[65.796836],[65.877163],[65.999227],[65.984528],[65.704049],[65.637821],[65.719202],[65.795782],[65.594543],[65.525285],[63.303222],[62.223244],[63.687647],[64.412354],[64.677208],[64.614767],[65.337836],[65.667233],[65.770439],[65.771636],[65.717106],[65.878443],[65.671693],[65.852487],[65.885624],[65.778806],[64.988533],[64.42971],[64.474125],[65.830286],[65.882666],[66.034795],[66.172106],[66.106254],[66.209097],[66.349599],[66.509092],[66.285684],[66.538199],[66.476901],[66.399131],[66.630984],[66.469727],[66.472227],[66.428033],[66.652638],[66.572258],[66.764651],[66.671643],[66.614676],[66.766031],[66.489355],[66.779874],[66.990819],[66.653005],[66.561407],[66.666795],[66.52124],[66.726907],[66.727172],[66.842645],[67.082527],[67.082308],[67.077571],[67.027166],[66.914452],[67.084592],[67.187838],[66.671351],[66.683503],[67.055109],[66.961664],[67.003788],[66.99686],[66.830927],[66.911434],[66.901199],[66.634053],[66.670057],[66.682055],[66.817721],[66.768634],[66.64455],[66.658547]]]

[]

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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}]

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, May 2026.

Hours worked

In May 2026, monthly hours worked in all jobs decreased by 21.5 million hours to 2,010 million hours in seasonally adjusted terms.

Monthly hours worked in all jobs
	Trend (m)	Seasonally adjusted (m)
May-16	1,657.4	1,662.5
Jun-16	1,657.3	1,657.3
Jul-16	1,657.9	1,661.0
Aug-16	1,659.5	1,662.6
Sep-16	1,661.8	1,658.7
Oct-16	1,664.9	1,663.1
Nov-16	1,668.4	1,666.4
Dec-16	1,671.7	1,676.5
Jan-17	1,674.7	1,707.7
Feb-17	1,677.9	1,662.5
Mar-17	1,681.6	1,679.9
Apr-17	1,686.2	1,666.9
May-17	1,691.6	1,713.9
Jun-17	1,697.6	1,710.4
Jul-17	1,703.8	1,701.8
Aug-17	1,709.6	1,705.3
Sep-17	1,714.7	1,714.7
Oct-17	1,718.5	1,717.6
Nov-17	1,721.1	1,729.5
Dec-17	1,722.8	1,721.8
Jan-18	1,723.8	1,717.1
Feb-18	1,724.7	1,721.9
Mar-18	1,726.3	1,723.2
Apr-18	1,728.8	1,735.8
May-18	1,731.9	1,729.3
Jun-18	1,735.5	1,737.7
Jul-18	1,738.6	1,738.4
Aug-18	1,741.2	1,740.2
Sep-18	1,743.5	1,742.9
Oct-18	1,746.3	1,751.4
Nov-18	1,750.2	1,749.3
Dec-18	1,755.1	1,746.1
Jan-19	1,760.2	1,764.0
Feb-19	1,764.5	1,766.9
Mar-19	1,767.2	1,775.5
Apr-19	1,768.2	1,769.9
May-19	1,768.1	1,761.8
Jun-19	1,767.5	1,764.1
Jul-19	1,767.4	1,768.2
Aug-19	1,768.8	1,772.8
Sep-19	1,771.4	1,774.4
Oct-19	1,774.1	1,767.6
Nov-19	1,775.9	1,773.3
Dec-19	1,775.5	1,784.9
Jan-20	1,772.6	1,779.9
Feb-20	1,768.4	1,770.3
Mar-20	1,765.1	1,762.9
Apr-20		1,580.9
May-20		1,596.8
Jun-20		1,660.2
Jul-20		1,679.0
Aug-20		1,682.7
Sep-20		1,682.6
Oct-20		1,711.1
Nov-20		1,747.5
Dec-20		1,743.9
Jan-21		1,729.8
Feb-21		1,748.7
Mar-21		1,796.8
Apr-21		1,765.9
May-21		1,799.7
Jun-21		1,772.3
Jul-21		1,771.8
Aug-21		1,701.2
Sep-21		1,722.3
Oct-21		1,719.6
Nov-21		1,789.2
Dec-21		1,822.4
Jan-22		1,740.7
Feb-22		1,813.3
Mar-22		1,812.9
Apr-22	1,833.4	1,820.9
May-22	1,840.9	1,846.9
Jun-22	1,850.0	1,854.0
Jul-22	1,860.1	1,850.5
Aug-22	1,870.2	1,872.5
Sep-22	1,880.0	1,876.0
Oct-22	1,889.5	1,909.1
Nov-22	1,899.0	1,904.2
Dec-22	1,908.5	1,903.2
Jan-23	1,917.4	1,920.0
Feb-23	1,925.7	1,922.8
Mar-23	1,933.2	1,935.4
Apr-23	1,938.7	1,952.9
May-23	1,941.4	1,940.3
Jun-23	1,941.1	1,943.2
Jul-23	1,938.3	1,943.5
Aug-23	1,933.5	1,931.3
Sep-23	1,927.3	1,923.0
Oct-23	1,921.7	1,926.0
Nov-23	1,918.7	1,920.7
Dec-23	1,919.4	1,913.4
Jan-24	1,923.5	1,915.0
Feb-24	1,929.4	1,927.2
Mar-24	1,935.3	1,952.6
Apr-24	1,940.1	1,944.4
May-24	1,943.4	1,938.7
Jun-24	1,945.7	1,941.6
Jul-24	1,948.6	1,947.4
Aug-24	1,953.5	1,959.6
Sep-24	1,960.3	1,962.0
Oct-24	1,967.3	1,957.0
Nov-24	1,972.6	1,972.7
Dec-24	1,975.3	1,980.9
Jan-25	1,975.6	1,979.6
Feb-25	1,974.6	1,975.6
Mar-25	1,973.7	1,967.6
Apr-25	1,973.7	1,968.2
May-25	1,975.3	2,000.3
Jun-25	1,978.0	1,977.2
Jul-25	1,981.1	1,984.9
Aug-25	1,984.1	1,977.1
Sep-25	1,987.2	1,986.8
Oct-25	1,990.4	1,993.2
Nov-25	1,994.5	1,991.5
Dec-25	1,999.4	1,998.6
Jan-26	2,004.5	2,009.5
Feb-26	2,008.9	2,005.3
Mar-26	2,012.6	2,013.6
Apr-26	2,015.7	2,031.9
May-26	2,018.5	2,010.4

Monthly hours worked in all jobs

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

[["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","Nov-22","Dec-22","Jan-23","Feb-23","Mar-23","Apr-23","May-23","Jun-23","Jul-23","Aug-23","Sep-23","Oct-23","Nov-23","Dec-23","Jan-24","Feb-24","Mar-24","Apr-24","May-24","Jun-24","Jul-24","Aug-24","Sep-24","Oct-24","Nov-24","Dec-24","Jan-25","Feb-25","Mar-25","Apr-25","May-25","Jun-25","Jul-25","Aug-25","Sep-25","Oct-25","Nov-25","Dec-25","Jan-26","Feb-26","Mar-26","Apr-26","May-26"],[[1657.402987],[1657.275778],[1657.894671],[1659.488952],[1661.838445],[1664.900819],[1668.378492],[1671.666781],[1674.677613],[1677.871785],[1681.615949],[1686.173053],[1691.564178],[1697.558429],[1703.796154],[1709.631005],[1714.668986],[1718.459701],[1721.124752],[1722.845478],[1723.833875],[1724.67889],[1726.277552],[1728.755833],[1731.904625],[1735.489201],[1738.618116],[1741.234247],[1743.519018],[1746.276774],[1750.206961],[1755.096936],[1760.247749],[1764.507092],[1767.155989],[1768.23688],[1768.13772],[1767.480913],[1767.428295],[1768.84726],[1771.352776],[1774.149699],[1775.888953],[1775.49013],[1772.626992],[1768.367854],[1765.087381],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[1833.416233],[1840.87593],[1850.03461],[1860.121951],[1870.233457],[1879.952748],[1889.537989],[1899.047937],[1908.501151],[1917.359207],[1925.717606],[1933.189412],[1938.681512],[1941.438471],[1941.14449],[1938.312575],[1933.524586],[1927.349155],[1921.742674],[1918.729477],[1919.448051],[1923.534938],[1929.42465],[1935.286777],[1940.127734],[1943.430555],[1945.675964],[1948.595432],[1953.501709],[1960.256028],[1967.300296],[1972.553005],[1975.318786],[1975.586987],[1974.612126],[1973.675803],[1973.735961],[1975.276455],[1978.043868],[1981.053839],[1984.071063],[1987.187506],[1990.426376],[1994.513026],[1999.423798],[2004.48753],[2008.869648],[2012.596393],[2015.71254],[2018.495162]],[[1662.524754],[1657.299774],[1660.961222],[1662.579775],[1658.72774],[1663.138101],[1666.36582],[1676.52141],[1707.705695],[1662.471127],[1679.913003],[1666.902259],[1713.930094],[1710.416334],[1701.83924],[1705.285692],[1714.730182],[1717.643553],[1729.468769],[1721.800497],[1717.115939],[1721.882862],[1723.240206],[1735.812043],[1729.275934],[1737.711419],[1738.415155],[1740.169867],[1742.861286],[1751.420969],[1749.279842],[1746.055168],[1763.998242],[1766.888424],[1775.519025],[1769.887099],[1761.806527],[1764.135084],[1768.207481],[1772.819157],[1774.352393],[1767.608429],[1773.268659],[1784.921607],[1779.913452],[1770.257477],[1762.905878],[1580.886379],[1596.772152],[1660.178669],[1678.951282],[1682.69774],[1682.577478],[1711.073531],[1747.509112],[1743.869128],[1729.838893],[1748.720346],[1796.818264],[1765.937684],[1799.736825],[1772.283229],[1771.814379],[1701.206895],[1722.295093],[1719.552446],[1789.150376],[1822.370893],[1740.690532],[1813.323935],[1812.920328],[1820.90008],[1846.889518],[1853.959466],[1850.477047],[1872.543772],[1875.967313],[1909.074375],[1904.197288],[1903.249128],[1919.965895],[1922.83775],[1935.389606],[1952.920864],[1940.305523],[1943.228032],[1943.488952],[1931.302395],[1923.035997],[1925.969418],[1920.664124],[1913.398498],[1914.967732],[1927.217779],[1952.604295],[1944.407119],[1938.749056],[1941.594856],[1947.445614],[1959.622888],[1961.963063],[1957.042168],[1972.731729],[1980.928843],[1979.626864],[1975.554052],[1967.561709],[1968.165908],[2000.322295],[1977.227847],[1984.880855],[1977.093255],[1986.832853],[1993.194094],[1991.500744],[1998.596751],[2009.461899],[2005.289922],[2013.641452],[2031.907213],[2010.382406]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"Millions","axis_units":"","tooltip_units":"(m)","table_units":"(m)","axis_min":"1500","axis_max":null,"tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

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, May 2026.

In seasonally adjusted terms, monthly hours worked in all jobs fell by 1.1%, which was weaker than the 0.3% rise in employment.

Employment and hours worked index (June 2022 = 100), Seasonally adjusted
	Employed (Index)	Hours Worked (Index)
Jun-22	100.0	100.0
Jul-22	100.1	99.8
Aug-22	100.6	101.0
Sep-22	100.6	101.2
Oct-22	100.9	103.0
Nov-22	101.4	102.7
Dec-22	101.4	102.7
Jan-23	101.6	103.6
Feb-23	101.9	103.7
Mar-23	102.5	104.4
Apr-23	102.5	105.3
May-23	103.2	104.7
Jun-23	103.3	104.8
Jul-23	103.3	104.8
Aug-23	103.8	104.2
Sep-23	103.8	103.7
Oct-23	104.2	103.9
Nov-23	104.5	103.6
Dec-23	104.1	103.2
Jan-24	104.1	103.3
Feb-24	104.9	104.0
Mar-24	104.7	105.3
Apr-24	105.0	104.9
May-24	105.2	104.6
Jun-24	105.5	104.7
Jul-24	105.8	105.0
Aug-24	106.1	105.7
Sep-24	106.3	105.8
Oct-24	106.3	105.6
Nov-24	106.5	106.4
Dec-24	106.8	106.8
Jan-25	107.0	106.8
Feb-25	106.5	106.6
Mar-25	106.7	106.1
Apr-25	107.5	106.2
May-25	107.4	107.9
Jun-25	107.3	106.6
Jul-25	107.6	107.1
Aug-25	107.5	106.6
Sep-25	107.5	107.2
Oct-25	107.8	107.5
Nov-25	107.5	107.4
Dec-25	107.9	107.8
Jan-26	108.2	108.4
Feb-26	108.3	108.2
Mar-26	108.5	108.6
Apr-26	108.2	109.6
May-26	108.5	108.4

Employment and hours worked index (June 2022 = 100), Seasonally adjusted

["","Employed","Hours Worked"]

[["Jun-22","Jul-22","Aug-22","Sep-22","Oct-22","Nov-22","Dec-22","Jan-23","Feb-23","Mar-23","Apr-23","May-23","Jun-23","Jul-23","Aug-23","Sep-23","Oct-23","Nov-23","Dec-23","Jan-24","Feb-24","Mar-24","Apr-24","May-24","Jun-24","Jul-24","Aug-24","Sep-24","Oct-24","Nov-24","Dec-24","Jan-25","Feb-25","Mar-25","Apr-25","May-25","Jun-25","Jul-25","Aug-25","Sep-25","Oct-25","Nov-25","Dec-25","Jan-26","Feb-26","Mar-26","Apr-26","May-26"],[[100],[100.0586663],[100.5889435],[100.6487471],[100.9361817],[101.438592],[101.4154296],[101.575515],[101.861487],[102.5221446],[102.5107791],[103.1601747],[103.2964334],[103.259134],[103.7944543],[103.7508114],[104.1649473],[104.523155],[104.1302829],[104.1099974],[104.8976543],[104.7359685],[104.991108],[105.2102696],[105.4629332],[105.8211501],[106.062889],[106.3350882],[106.3221854],[106.4617205],[106.8090656],[107.0416204],[106.4916659],[106.7145647],[107.4664881],[107.4001216],[107.3230135],[107.5604863],[107.463553],[107.5354663],[107.7845076],[107.4997396],[107.9209407],[108.1763895],[108.3449284],[108.4877358],[108.18852],[108.4854653]],[[100],[99.81216315],[101.0024117],[101.1870727],[102.9728217],[102.7097584],[102.6586159],[103.5602952],[103.715199],[104.3922287],[105.3378404],[104.6573865],[104.8150225],[104.8290962],[104.1717702],[103.7258922],[103.8841168],[103.5979567],[103.2060589],[103.2907012],[103.9514517],[105.3207651],[104.8786208],[104.5734328],[104.7269313],[105.042513],[105.6993383],[105.8255641],[105.5601379],[106.406411],[106.8485519],[106.778325],[106.5586432],[106.1275473],[106.1601369],[107.8946078],[106.6489254],[107.061718],[106.6416656],[107.167006],[107.5101226],[107.4187856],[107.8015344],[108.3875854],[108.1625547],[108.6130247],[109.5982545],[108.4372362]]]

[]

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States and Territories

May 2026 - Seasonally adjusted
	New South Wales	Victoria	Queensland	South Australia	Western Australia	Tasmania	Australia
Employed people	4,525,300	3,798,100	3,044,700	987,500	1,676,000	278,700	14,738,800
Employed people - monthly change	0.00%	0.60%	0.60%	0.30%	-0.90%	-0.10%	0.30%
Employment to population ratio	63.00%	64.00%	64.30%	61.40%	65.60%	57.00%	63.80%
Employment to population ratio - monthly change	0.0 pts	0.3 pts	0.3 pts	0.1 pts	-0.7 pts	-0.1 pts	0.1 pts
Unemployment rate	4.30%	4.90%	3.70%	4.20%	4.60%	5.30%	4.40%
Unemployment rate - monthly change	-0.1 pts	0.1 pts	-0.5 pts	0.1 pts	0.4 pts	0.3 pts	-0.1 pts
Participation rate	65.90%	67.20%	66.80%	64.20%	68.70%	60.20%	66.70%
Participation rate - monthly change	-0.1 pts	0.4 pts	-0.1 pts	0.2 pts	-0.5 pts	0.1 pts	0.0 pts

Seasonally adjusted estimates for NT and ACT are not available due to having no seasonality. The ABS recommends using trend data.

May 2026 - Trend
	New South Wales	Victoria	Queensland	South Australia	Western Australia	Tasmania	Northern Territory	Australian Capital Territory	Australia
Employed people	4,532,100	3,799,000	3,043,800	988,300	1,684,800	279,600	150,100	278,700	14,753,700
Employed people - monthly change	0.10%	0.00%	0.30%	-0.10%	0.20%	-0.10%	0.70%	0.30%	0.10%
Employment to population ratio	63.10%	63.90%	64.30%	61.50%	65.90%	57.10%	70.70%	69.40%	63.80%
Employment to population ratio - monthly change	0.0 pts	-0.1 pts	0.1 pts	-0.1 pts	0.0 pts	-0.1 pts	0.3 pts	0.1 pts	0.0 pts
Unemployment rate	4.30%	4.90%	3.90%	4.10%	4.40%	5.00%	4.50%	4.00%	4.40%
Unemployment rate - monthly change	0.0 pts	0.1 pts	-0.1 pts	0.0 pts	0.0 pts	0.1 pts	0.0 pts	0.0 pts	0.0 pts
Participation rate	66.00%	67.20%	66.90%	64.10%	68.90%	60.20%	74.10%	72.40%	66.70%
Participation rate - monthly change	0.0 pts	0.0 pts	0.0 pts	-0.1 pts	0.0 pts	-0.1 pts	0.3 pts	0.1 pts	0.0 pts

Data downloads

Labour Force status

Data files

Table 001. Labour force status by Sex, Australia - Trend, Seasonally adjusted and Original
Download xlsx [750.84 KB]
Table 002. Labour force status by Sex, New South Wales - Trend, Seasonally adjusted and Original
Download xlsx [555.43 KB]
Table 003. Labour force status by Sex, Victoria - Trend, Seasonally adjusted and Original
Download xlsx [554.68 KB]
Table 004. Labour force status by Sex, Queensland - Trend, Seasonally adjusted and Original
Download xlsx [556.92 KB]
Table 005. Labour force status by Sex, South Australia - Trend, Seasonally adjusted and Original
Download xlsx [551.11 KB]
Table 006. Labour force status by Sex, Western Australia - Trend, Seasonally adjusted and Original
Download xlsx [556.16 KB]
Table 007. Labour force status by Sex, Tasmania - Trend, Seasonally adjusted and Original
Download xlsx [557.72 KB]
Table 008. Labour force status by Sex, Northern Territory - Trend and Original
Download xlsx [522.95 KB]
Table 009. Labour force status by Sex, Australian Capital Territory - Trend and Original
Download xlsx [468.25 KB]
Table 010. Labour force status by Sex, State and Territory - Trend, Seasonally adjusted and Original
Download xlsx [4.64 MB]
Table 011. Labour force status by Age and Sex - Original
Download xlsx [5.28 MB]
Table 012. Labour force status for 15-19 year olds by Sex - Trend, Seasonally adjusted and Original
Download xlsx [622.56 KB]
Table 013. Labour force status for 15-24 year olds by Sex - Trend, Seasonally adjusted and Original
Download xlsx [735.31 KB]
Table 014. Labour force status for 15-24 year olds by State, Territory and Educational attendance (full-time)
Download xlsx [2.59 MB]
Table 015. Labour force status for 15-24 year olds by Educational attendance (full-time) and Sex
Download xlsx [838.98 KB]
Table 016. Labour force status for 15-64 year olds by Sex - Trend, Seasonally adjusted and Original
Download xlsx [746.83 KB]
LMS1. Labour force status and Gross changes (flows) by Age, Sex, State and Territory (pivot table)
Download xlsx [95.05 MB]
LMS1. Labour force status and Gross changes (flows) by Age, Sex, State and Territory, Historical (pivot table)
Download xlsx [97.43 MB]
LMS2. Labour force status by Age, Greater capital city and rest of state (ASGS) and Sex (pivot table)
Download xlsx [22.1 MB]
LMS3. Labour force status by Age (detailed), Greater capital city and rest of state (ASGS) and Sex (pivot table)
Download xlsx [20.68 MB]
LMS4. Labour force status by Age, Major country group (subcontinent) of birth (SACC), and Sex (pivot table)
Download xlsx [11.87 MB]
LMS5. Labour force status by Elapsed years since arrival, Major country group (subcontinent) of birth (SACC), Sex, State and Territory (pivot table)
Download xlsx [37.42 MB]

Modelled labour market regions (SA4)

MLF1. Modelled estimates of labour force status, by SA4 (ASGS), Age and Sex (Pivot Table)

Data files

Download xlsx [20.18 MB]

Hours worked

Data files

Table 017. Hours worked in all jobs by Employed full-time, part-time and Sex and by State and Territory - Trend and Seasonally adjusted
Download xlsx [270.96 KB]
Table 018. Employed persons by Hours worked in all jobs and Sex
Download xlsx [647.56 KB]
HRS1. Employed persons by Hours worked in all jobs, State and Territory (pivot table)
Download xlsx [4.24 MB]
HRS2. Employed persons by Hours worked in all jobs, Age and Sex (pivot table)
Download xlsx [9.75 MB]

Status in employment

Data files

Table 019. Status in employment of main job and Sex
Download xlsx [357.01 KB]
SEM1. Status in employment of main job by hours worked in all jobs, sex, and state (pivot table)
Download xlsx [38.46 MB]

Additional data downloads

The below tables have previously been advertised in the Upcoming changes to Labour Force Survey outputs article as not being available during the transition due to potential data quality concerns. The ABS has reviewed these data items for the May collection and determined that they are fit for use.

These tables will not be published for June and July due to changes in timing of collecting this information in our existing and new questionnaires. The ABS will review these data items for the August 2026 quarter once the August Labour Force data has been collected to determine whether they will be published or not.

Additional data downloads

Data files

Table 020. Employed persons by Industry division of main job (ANZSIC) - Trend, Seasonally adjusted, and Original (quarterly table)
Download xlsx [151.92 KB]
Table 021. Employed persons by State, Territory and Industry division of main job (ANZSIC)
Download xlsx [1010.49 KB]
Table 022. Employed persons by Industry division of main job (ANZSIC) and Hours worked in all jobs
Download xlsx [1.87 MB]
Table 025. Unemployed persons by duration of job search and sex - Trend, Seasonally adjusted, and Original
Download xlsx [255.09 KB]

Table name concordance

This table provides a concordance between the Labour Force data downloads prior to Labour Force Modernisation and the current format. For further details on these changes, see Upcoming changes to Labour Force Survey outputs.

Labour Force Australia – Table name concordance (transition period)

Data files

Download xlsx [13.14 KB]

All spreadsheets

Data files

Download zip [366.23 MB]

Data Explorer datasets

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.

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

Labour Force monthly hours worked by Sex, State and Territory - Monthly hours worked by employed people, monthly, July 1978 onwards.

Labour Force status by Age Groups - Number of people employed, unemployed and not in the labour force, monthly, February 1978 onwards.

Labour Force Educational Attendance - Educational attendance (Full Time) for 15-24 year olds by State, Territory and Sex, monthly, April 1986 onwards.

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

Article archive

Understanding the labour force

Employment and jobs

Unemployment and underemployment

Hours worked

Regional estimates

LFS content and output

Methodology

Previous catalogue number

This release previously used catalogue number 6202.0.

Post-release changes

06/07/2026 - The ABS has identified an error in the underemployment data. Tables X28 and X29, and references to this data have been removed. The ABS will publish updated data over the coming days. For more information, see the "Main features' section of Labour Force, Australia, May 2026.

APA

Labour Force, Australia

APA

Key statistics

Main features

Modernising the Labour Force Survey

Correction to Underemployment and Underutilisation data

Survey impacts and changes

Labour Force Modernisation

Rotation group analysis

Survey dates

Quarterly rebenchmarking of labour force statistics

Employment

Employment-to-population ratio

Unemployment

Participation

Hours worked

States and Territories

Data downloads

Labour Force status

Table 001. Labour force status by Sex, Australia - Trend, Seasonally adjusted and Original

Table 002. Labour force status by Sex, New South Wales - Trend, Seasonally adjusted and Original

Table 003. Labour force status by Sex, Victoria - Trend, Seasonally adjusted and Original

Table 004. Labour force status by Sex, Queensland - Trend, Seasonally adjusted and Original

Table 005. Labour force status by Sex, South Australia - Trend, Seasonally adjusted and Original

Table 006. Labour force status by Sex, Western Australia - Trend, Seasonally adjusted and Original

Table 007. Labour force status by Sex, Tasmania - Trend, Seasonally adjusted and Original

Table 008. Labour force status by Sex, Northern Territory - Trend and Original

Table 009. Labour force status by Sex, Australian Capital Territory - Trend and Original

Table 010. Labour force status by Sex, State and Territory - Trend, Seasonally adjusted and Original

Table 011. Labour force status by Age and Sex - Original

Table 012. Labour force status for 15-19 year olds by Sex - Trend, Seasonally adjusted and Original

Table 013. Labour force status for 15-24 year olds by Sex - Trend, Seasonally adjusted and Original

Table 014. Labour force status for 15-24 year olds by State, Territory and Educational attendance (full-time)

Table 015. Labour force status for 15-24 year olds by Educational attendance (full-time) and Sex

Table 016. Labour force status for 15-64 year olds by Sex - Trend, Seasonally adjusted and Original

LMS1. Labour force status and Gross changes (flows) by Age, Sex, State and Territory (pivot table)

LMS1. Labour force status and Gross changes (flows) by Age, Sex, State and Territory, Historical (pivot table)

LMS2. Labour force status by Age, Greater capital city and rest of state (ASGS) and Sex (pivot table)

LMS3. Labour force status by Age (detailed), Greater capital city and rest of state (ASGS) and Sex (pivot table)

LMS4. Labour force status by Age, Major country group (subcontinent) of birth (SACC), and Sex (pivot table)

LMS5. Labour force status by Elapsed years since arrival, Major country group (subcontinent) of birth (SACC), Sex, State and Territory (pivot table)

Modelled labour market regions (SA4)

MLF1. Modelled estimates of labour force status, by SA4 (ASGS), Age and Sex (Pivot Table)

Hours worked

Table 017. Hours worked in all jobs by Employed full-time, part-time and Sex and by State and Territory - Trend and Seasonally adjusted

Table 018. Employed persons by Hours worked in all jobs and Sex

HRS1. Employed persons by Hours worked in all jobs, State and Territory (pivot table)

HRS2. Employed persons by Hours worked in all jobs, Age and Sex (pivot table)

Status in employment

Table 019. Status in employment of main job and Sex

SEM1. Status in employment of main job by hours worked in all jobs, sex, and state (pivot table)

Additional data downloads

Additional data downloads

Table 020. Employed persons by Industry division of main job (ANZSIC) - Trend, Seasonally adjusted, and Original (quarterly table)

Table 021. Employed persons by State, Territory and Industry division of main job (ANZSIC)

Table 022. Employed persons by Industry division of main job (ANZSIC) and Hours worked in all jobs

Table 025. Unemployed persons by duration of job search and sex - Trend, Seasonally adjusted, and Original

Table name concordance

Labour Force Australia – Table name concordance (transition period)

All spreadsheets

All 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

Post-release changes

Methodology

Articles

Underemployment and underutilisation 'u-series', May 2026

Media releases

Unemployment rate falls to 4.4% in May

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