Labour Force, Australia, April 2022

	Mar-2022	Apr-2022	Monthly change	Monthly change (%)	Yearly change	Yearly change (%)
Seasonally adjusted
Employed people	13,397,700	13,401,700	4,000	0.0%	381,500	2.9%
Unemployed people	548,000	537,100	-11,000	-2.0%	-211,100	-28.2%
Unemployment rate	3.9%	3.9%	-0.1 pts	na	-1.6 pts	na
Underemployment rate	6.3%	6.1%	-0.2 pts	na	-1.7 pts	na
Participation rate	66.4%	66.3%	-0.1 pts	na	0.4 pts	na
Monthly hours worked in all jobs	1,810 million	1,833 million	23 million	1.3%	50 million	2.8%

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

Annual Series Review

Minor revisions to previously published data, including for March 2022, are the result of the Annual Series Review of Labour Force series. This is a regular annual process undertaken by ABS, for further information see the Seasonal adjustment and trend estimates section.

Articles and other information

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

hours worked
the labour market before the monthly Labour Force Survey commenced in 1978

This detailed information can be found in:

As foreshadowed in Insights into job attachment during the pandemic, March 2022, with many series related to job attachment no longer showing disruptions due to COVID-19, the ABS how now ceased publishing this article. However, the below summary is provided to assist analysis of this cohort of the labour market:

In April 2022, the number of people who were not employed with job attachment was 232,800 people, an increase of 900 people from March 2022. In April 2022, the number of unemployed future starters was 34,600 people, a decrease of 4,600 people from March 2022.

The ABS will continue to monitor changes in job attachment and provide additional analysis when relevant.

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 27 May 2022 (see Microdata: Longitudinal Labour Force, Australia).

Seasonal adjustment and trend estimates

Impacts from floods in New South Wales and Queensland

Survey response and timeline

Reference and Enumeration Dates
Publication	Start of Reference Week	End of Reference Week	Start of Enumeration	End of Enumeration
Mar-22	27th February 2022	12th March 2022	6th March 2022	26th March 2022
Apr-22	3rd April 2022	16th April 2022	10th April 2022	30th April 2022
May-22	1st May 2022	14th May 2022	8th May 2022	28th May 2022
Jun-22	29th May 2022	11th June 2022	5th June 2022	25th June 2022
Jul-22	3rd July 2022	16th July 2022	10th July 2022	30th July 2022
Aug-22	31st July 2022	13th August 2022	7th August 2022	27th August 2022

Unemployment

In seasonally adjusted terms, in April 2022:

unemployment rate remained at 3.9%.
unemployment rate was 1.4 pts below March 2020.
unemployed people decreased by 11,000 to 537,100.
unemployed people was 182,300 lower than March 2020.
youth unemployment rate increased by 0.5 pts to 8.8%.
youth unemployment rate was 2.8 pts lower than March 2020.

Unemployment rate, Seasonally adjusted
	People (%)
Apr-12	5.0
May-12	5.2
Jun-12	5.2
Jul-12	5.2
Aug-12	5.2
Sep-12	5.5
Oct-12	5.4
Nov-12	5.3
Dec-12	5.4
Jan-13	5.4
Feb-13	5.4
Mar-13	5.6
Apr-13	5.6
May-13	5.6
Jun-13	5.7
Jul-13	5.6
Aug-13	5.8
Sep-13	5.7
Oct-13	5.8
Nov-13	5.8
Dec-13	5.9
Jan-14	5.9
Feb-14	5.9
Mar-14	5.9
Apr-14	5.8
May-14	5.9
Jun-14	6.0
Jul-14	6.2
Aug-14	6.1
Sep-14	6.2
Oct-14	6.4
Nov-14	6.3
Dec-14	6.1
Jan-15	6.3
Feb-15	6.2
Mar-15	6.1
Apr-15	6.1
May-15	5.9
Jun-15	6.0
Jul-15	6.3
Aug-15	6.1
Sep-15	6.2
Oct-15	5.9
Nov-15	5.9
Dec-15	5.7
Jan-16	6.0
Feb-16	5.7
Mar-16	5.7
Apr-16	5.6
May-16	5.7
Jun-16	5.7
Jul-16	5.7
Aug-16	5.6
Sep-16	5.6
Oct-16	5.6
Nov-16	5.8
Dec-16	5.8
Jan-17	5.7
Feb-17	5.9
Mar-17	5.9
Apr-17	5.6
May-17	5.6
Jun-17	5.6
Jul-17	5.6
Aug-17	5.5
Sep-17	5.4
Oct-17	5.4
Nov-17	5.4
Dec-17	5.6
Jan-18	5.5
Feb-18	5.6
Mar-18	5.5
Apr-18	5.5
May-18	5.4
Jun-18	5.3
Jul-18	5.3
Aug-18	5.3
Sep-18	5.0
Oct-18	5.0
Nov-18	5.1
Dec-18	5.0
Jan-19	5.1
Feb-19	5.0
Mar-19	5.1
Apr-19	5.2
May-19	5.2
Jun-19	5.2
Jul-19	5.2
Aug-19	5.3
Sep-19	5.2
Oct-19	5.3
Nov-19	5.1
Dec-19	5.1
Jan-20	5.3
Feb-20	5.1
Mar-20	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	6.9
Nov-20	6.8
Dec-20	6.6
Jan-21	6.4
Feb-21	5.8
Mar-21	5.7
Apr-21	5.4
May-21	5.1
Jun-21	4.9
Jul-21	4.6
Aug-21	4.5
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	3.9
Apr-22	3.9

Unemployment rate, Seasonally adjusted

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Employment

In seasonally adjusted terms, in April 2022:

employment increased by 4,000 people (0.0%) to 13,401,700 people.
employment was 399,400 people (3.1%) higher than March 2020.

Flows into and out of employment

Monthly inflows, outflows and employment growth, Original
	Employed people growth ('000)	Inflow ('000)	Outflow ('000)
Apr-17	68	490	-439
May-17	67	405	-357
Jun-17	-2	398	-433
Jul-17	6	425	-418
Aug-17	-16	429	-435
Sep-17	88	461	-380
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	431	-467
Aug-19	-29	469	-436
Sep-19	68	431	-363
Oct-19	-26	381	-445
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	301	676	-355
Mar-21	27	474	-415
Apr-21	-28	498	-480
May-21	167	509	-371
Jun-21	-19	421	-460
Jul-21	-23	499	-545
Aug-21	-209	460	-646
Sep-21	-97	520	-634
Oct-21	-42	538	-540
Nov-21	436	836	-402
Dec-21	154	534	-410
Jan-22	-286	437	-786
Feb-22	321	721	-386
Mar-22	-37	452	-479
Apr-22	13	559	-487

Employed people, Seasonally adjusted
	Employed people ('000)
Apr-12	11,321.0
May-12	11,364.9
Jun-12	11,340.4
Jul-12	11,349.3
Aug-12	11,361.0
Sep-12	11,392.7
Oct-12	11,391.9
Nov-12	11,385.3
Dec-12	11,394.7
Jan-13	11,462.2
Feb-13	11,465.0
Mar-13	11,433.9
Apr-13	11,466.2
May-13	11,458.9
Jun-13	11,473.0
Jul-13	11,458.2
Aug-13	11,460.0
Sep-13	11,477.9
Oct-13	11,471.8
Nov-13	11,449.3
Dec-13	11,416.2
Jan-14	11,453.9
Feb-14	11,474.9
Mar-14	11,530.6
Apr-14	11,536.7
May-14	11,514.9
Jun-14	11,532.5
Jul-14	11,546.8
Aug-14	11,548.3
Sep-14	11,548.4
Oct-14	11,544.1
Nov-14	11,544.1
Dec-14	11,594.5
Jan-15	11,606.4
Feb-15	11,671.8
Mar-15	11,691.9
Apr-15	11,691.0
May-15	11,735.9
Jun-15	11,732.6
Jul-15	11,762.2
Aug-15	11,773.8
Sep-15	11,786.1
Oct-15	11,863.2
Nov-15	11,896.1
Dec-15	11,901.5
Jan-16	11,907.7
Feb-16	11,923.0
Mar-16	11,940.4
Apr-16	11,946.9
May-16	11,944.5
Jun-16	11,970.5
Jul-16	11,997.4
Aug-16	11,974.8
Sep-16	11,956.6
Oct-16	11,989.7
Nov-16	12,012.4
Dec-16	12,030.0
Jan-17	12,051.4
Feb-17	12,052.4
Mar-17	12,116.2
Apr-17	12,168.7
May-17	12,194.2
Jun-17	12,234.8
Jul-17	12,260.4
Aug-17	12,316.2
Sep-17	12,347.5
Oct-17	12,360.1
Nov-17	12,409.8
Dec-17	12,442.7
Jan-18	12,480.3
Feb-18	12,474.6
Mar-18	12,489.6
Apr-18	12,507.3
May-18	12,503.0
Jun-18	12,585.6
Jul-18	12,572.6
Aug-18	12,620.0
Sep-18	12,633.2
Oct-18	12,670.4
Nov-18	12,698.5
Dec-18	12,711.0
Jan-19	12,747.2
Feb-19	12,747.3
Mar-19	12,780.7
Apr-19	12,814.5
May-19	12,846.4
Jun-19	12,865.1
Jul-19	12,883.3
Aug-19	12,930.2
Sep-19	12,946.0
Oct-19	12,919.3
Nov-19	12,952.2
Dec-19	12,967.0
Jan-20	12,984.0
Feb-20	13,000.9
Mar-20	13,002.2
Apr-20	12,401.5
May-20	12,125.0
Jun-20	12,368.8
Jul-20	12,469.7
Aug-20	12,626.1
Sep-20	12,586.2
Oct-20	12,753.1
Nov-20	12,839.7
Dec-20	12,866.7
Jan-21	12,895.5
Feb-21	12,982.2
Mar-21	13,059.8
Apr-21	13,020.2
May-21	13,123.4
Jun-21	13,159.5
Jul-21	13,157.4
Aug-21	13,018.6
Sep-21	12,879.8
Oct-21	12,835.7
Nov-21	13,208.2
Dec-21	13,266.0
Jan-22	13,283.5
Feb-22	13,377.4
Mar-22	13,397.7
Apr-22	13,401.7

Employed people, Seasonally adjusted

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Full-time and part-time employment

In seasonally adjusted terms, in April 2022:

full-time employment increased by 92,400 to 9,342,900 people, and part-time employment decreased by 88,400 to 4,058,800 people.
part-time share of employment was 30.3%, 1.5 pts lower than in March 2020.

Employment-to-population ratio

In seasonally adjusted terms, in April 2022, the employment-to-population ratio:

remained at 63.8%.
was higher than March 2020 by 1.4 pts.

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

Employment-to-population ratio, Seasonally adjusted
	People (%)	Males (%)	Females (%)
Apr-12	61.8	68.2	55.6
May-12	62.0	68.2	55.9
Jun-12	61.7	68.1	55.6
Jul-12	61.7	67.8	55.7
Aug-12	61.7	67.8	55.7
Sep-12	61.7	67.7	55.9
Oct-12	61.7	67.9	55.5
Nov-12	61.5	67.7	55.5
Dec-12	61.5	67.8	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	60.6	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	54.9
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	55.7
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	56.0
May-17	61.3	66.7	56.2
Jun-17	61.5	66.7	56.5
Jul-17	61.5	66.9	56.4
Aug-17	61.7	66.9	56.7
Sep-17	61.8	66.9	56.8
Oct-17	61.8	66.9	56.8
Nov-17	62.0	67.1	57.0
Dec-17	62.1	67.0	57.3
Jan-18	62.1	67.4	57.1
Feb-18	62.0	67.0	57.2
Mar-18	62.0	66.9	57.2
Apr-18	62.0	66.9	57.2
May-18	61.9	66.9	57.1
Jun-18	62.2	67.1	57.5
Jul-18	62.1	67.2	57.1
Aug-18	62.2	67.4	57.2
Sep-18	62.2	67.4	57.2
Oct-18	62.3	67.3	57.4
Nov-18	62.3	67.4	57.5
Dec-18	62.3	67.4	57.4
Jan-19	62.4	67.5	57.5
Feb-19	62.3	67.2	57.6
Mar-19	62.3	67.3	57.6
Apr-19	62.4	67.2	57.9
May-19	62.5	67.7	57.6
Jun-19	62.6	67.6	57.7
Jul-19	62.6	67.6	57.7
Aug-19	62.7	67.6	58.0
Sep-19	62.7	67.4	58.2
Oct-19	62.5	67.1	58.0
Nov-19	62.6	67.2	58.0
Dec-19	62.5	67.1	58.1
Jan-20	62.5	67.0	58.2
Feb-20	62.5	67.0	58.2
Mar-20	62.4	66.9	58.1
Apr-20	59.5	64.2	55.0
May-20	58.2	63.1	53.4
Jun-20	59.3	64.0	54.8
Jul-20	59.8	64.5	55.3
Aug-20	60.6	65.0	56.2
Sep-20	60.4	64.8	56.1
Oct-20	61.2	65.9	56.6
Nov-20	61.6	66.4	57.0
Dec-20	61.7	66.2	57.4
Jan-21	61.8	66.6	57.3
Feb-21	62.2	66.6	58.0
Mar-21	62.6	66.7	58.6
Apr-21	62.3	66.7	58.1
May-21	62.8	67.0	58.7
Jun-21	63.0	67.4	58.7
Jul-21	62.9	67.6	58.5
Aug-21	62.3	66.8	57.9
Sep-21	61.6	66.2	57.1
Oct-21	61.4	66.1	56.8
Nov-21	63.1	67.6	58.8
Dec-21	63.4	67.9	59.0
Jan-22	63.4	67.5	59.4
Feb-22	63.8	67.7	60.0
Mar-22	63.8	67.8	60.0
Apr-22	63.8	67.9	59.8

Employment-to-population ratio, Seasonally adjusted

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

[["Apr-12","May-12","Jun-12","Jul-12","Aug-12","Sep-12","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"],[[61.799999999999997],[62],[61.700000000000003],[61.700000000000003],[61.700000000000003],[61.700000000000003],[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],[60.600000000000001],[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],[62.100000000000001],[62.200000000000003],[62.200000000000003],[62.299999999999997],[62.299999999999997],[62.299999999999997],[62.399999999999999],[62.299999999999997],[62.299999999999997],[62.399999999999999],[62.5],[62.600000000000001],[62.600000000000001],[62.700000000000003],[62.700000000000003],[62.5],[62.600000000000001],[62.5],[62.5],[62.5],[62.399999999999999],[59.5],[58.200000000000003],[59.299999999999997],[59.799999999999997],[60.600000000000001],[60.399999999999999],[61.200000000000003],[61.600000000000001],[61.700000000000003],[61.799999999999997],[62.200000000000003],[62.600000000000001],[62.299999999999997],[62.799999999999997],[63],[62.899999999999999],[62.299999999999997],[61.600000000000001],[61.399999999999999],[63.100000000000001],[63.399999999999999],[63.399999999999999],[63.799999999999997],[63.799999999999997],[63.799999999999997]],[[68.200000000000003],[68.200000000000003],[68.099999999999994],[67.799999999999997],[67.799999999999997],[67.700000000000003],[67.900000000000006],[67.700000000000003],[67.799999999999997],[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],[67.400000000000006],[67],[66.900000000000006],[66.900000000000006],[66.900000000000006],[67.099999999999994],[67.200000000000003],[67.400000000000006],[67.400000000000006],[67.299999999999997],[67.400000000000006],[67.400000000000006],[67.5],[67.200000000000003],[67.299999999999997],[67.200000000000003],[67.700000000000003],[67.599999999999994],[67.599999999999994],[67.599999999999994],[67.400000000000006],[67.099999999999994],[67.200000000000003],[67.099999999999994],[67],[67],[66.900000000000006],[64.200000000000003],[63.100000000000001],[64],[64.5],[65],[64.799999999999997],[65.900000000000006],[66.400000000000006],[66.200000000000003],[66.599999999999994],[66.599999999999994],[66.700000000000003],[66.700000000000003],[67],[67.400000000000006],[67.599999999999994],[66.799999999999997],[66.200000000000003],[66.099999999999994],[67.599999999999994],[67.900000000000006],[67.5],[67.700000000000003],[67.799999999999997],[67.900000000000006]],[[55.600000000000001],[55.899999999999999],[55.600000000000001],[55.700000000000003],[55.700000000000003],[55.899999999999999],[55.5],[55.5],[55.299999999999997],[55.700000000000003],[55.700000000000003],[55.600000000000001],[55.700000000000003],[55.399999999999999],[55.399999999999999],[55.399999999999999],[55.299999999999997],[55.399999999999999],[55.299999999999997],[55.100000000000001],[54.899999999999999],[55],[55.100000000000001],[55.200000000000003],[55.100000000000001],[55.100000000000001],[55.100000000000001],[55.100000000000001],[55],[55],[54.899999999999999],[54.600000000000001],[55],[54.899999999999999],[55.200000000000003],[55.100000000000001],[55.200000000000003],[55.399999999999999],[55.399999999999999],[55.399999999999999],[55.600000000000001],[55.600000000000001],[55.899999999999999],[56.100000000000001],[56],[55.799999999999997],[56],[56],[56.100000000000001],[55.899999999999999],[56],[56],[55.799999999999997],[55.700000000000003],[55.700000000000003],[55.799999999999997],[55.799999999999997],[55.899999999999999],[55.700000000000003],[56],[56],[56.200000000000003],[56.5],[56.399999999999999],[56.700000000000003],[56.799999999999997],[56.799999999999997],[57],[57.299999999999997],[57.100000000000001],[57.200000000000003],[57.200000000000003],[57.200000000000003],[57.100000000000001],[57.5],[57.100000000000001],[57.200000000000003],[57.200000000000003],[57.399999999999999],[57.5],[57.399999999999999],[57.5],[57.600000000000001],[57.600000000000001],[57.899999999999999],[57.600000000000001],[57.700000000000003],[57.700000000000003],[58],[58.200000000000003],[58],[58],[58.100000000000001],[58.200000000000003],[58.200000000000003],[58.100000000000001],[55],[53.399999999999999],[54.799999999999997],[55.299999999999997],[56.200000000000003],[56.100000000000001],[56.600000000000001],[57],[57.399999999999999],[57.299999999999997],[58],[58.600000000000001],[58.100000000000001],[58.700000000000003],[58.700000000000003],[58.5],[57.899999999999999],[57.100000000000001],[56.799999999999997],[58.799999999999997],[59],[59.399999999999999],[60],[60],[59.799999999999997]]]

[]

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Hours worked

In seasonally adjusted terms, in April 2022, monthly hours worked in all jobs:

increased by 23.0 million hours (1.3%) to 1,833 million hours.
increased by 63.0 million hours (3.6%) from March 2020.

See the article Insights into hours worked for more.

Monthly hours worked in all jobs, Seasonally adjusted
	Hours worked (m)	Yearly change (%)
Apr-12	1,600	2.8
May-12	1,606	2.0
Jun-12	1,580	-0.2
Jul-12	1,590	0.4
Aug-12	1,589	0.2
Sep-12	1,600	1.1
Oct-12	1,587	-0.4
Nov-12	1,602	0.9
Dec-12	1,604	1.0
Jan-13	1,603	0.8
Feb-13	1,605	1.1
Mar-13	1,598	0.1
Apr-13	1,612	0.8
May-13	1,606	0.0
Jun-13	1,606	1.7
Jul-13	1,616	1.7
Aug-13	1,621	2.0
Sep-13	1,608	0.5
Oct-13	1,608	1.3
Nov-13	1,605	0.2
Dec-13	1,605	0.1
Jan-14	1,599	-0.3
Feb-14	1,607	0.1
Mar-14	1,614	1.0
Apr-14	1,603	-0.6
May-14	1,611	0.3
Jun-14	1,619	0.8
Jul-14	1,617	0.0
Aug-14	1,617	-0.2
Sep-14	1,612	0.2
Oct-14	1,612	0.3
Nov-14	1,614	0.6
Dec-14	1,601	-0.3
Jan-15	1,630	2.0
Feb-15	1,628	1.3
Mar-15	1,637	1.4
Apr-15	1,639	2.2
May-15	1,636	1.6
Jun-15	1,635	1.0
Jul-15	1,640	1.5
Aug-15	1,638	1.3
Sep-15	1,649	2.3
Oct-15	1,655	2.7
Nov-15	1,655	2.5
Dec-15	1,651	3.1
Jan-16	1,661	1.9
Feb-16	1,664	2.2
Mar-16	1,656	1.1
Apr-16	1,633	-0.3
May-16	1,665	1.7
Jun-16	1,657	1.4
Jul-16	1,662	1.3
Aug-16	1,664	1.6
Sep-16	1,660	0.7
Oct-16	1,666	0.6
Nov-16	1,668	0.8
Dec-16	1,674	1.4
Jan-17	1,695	2.0
Feb-17	1,663	0.0
Mar-17	1,680	1.5
Apr-17	1,666	2.0
May-17	1,714	3.0
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	1,717	3.1
Nov-17	1,730	3.7
Dec-17	1,721	2.8
Jan-18	1,701	0.3
Feb-18	1,724	3.6
Mar-18	1,728	2.8
Apr-18	1,743	4.6
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	2.0
Oct-18	1,756	2.3
Nov-18	1,753	1.3
Dec-18	1,748	1.6
Jan-19	1,762	3.6
Feb-19	1,764	2.3
Mar-19	1,779	3.0
Apr-19	1,770	1.5
May-19	1,769	2.1
Jun-19	1,770	1.5
Jul-19	1,773	1.7
Aug-19	1,778	2.0
Sep-19	1,780	1.8
Oct-19	1,777	1.2
Nov-19	1,776	1.3
Dec-19	1,783	2.0
Jan-20	1,774	0.7
Feb-20	1,772	0.4
Mar-20	1,770	-0.5
Apr-20	1,588	-10.3
May-20	1,608	-9.1
Jun-20	1,669	-5.7
Jul-20	1,686	-4.9
Aug-20	1,690	-4.9
Sep-20	1,690	-5.1
Oct-20	1,730	-2.6
Nov-20	1,754	-1.2
Dec-20	1,751	-1.8
Jan-21	1,669	-5.9
Feb-21	1,765	-0.4
Mar-21	1,809	2.2
Apr-21	1,783	12.3
May-21	1,817	13.0
Jun-21	1,786	7.0
Jul-21	1,778	5.5
Aug-21	1,718	1.6
Sep-21	1,728	2.2
Oct-21	1,727	-0.2
Nov-21	1,805	2.9
Dec-21	1,819	3.9
Jan-22	1,665	-0.3
Feb-22	1,815	2.8
Mar-22	1,810	0.1
Apr-22	1,833	2.8

Monthly hours worked in all jobs, Seasonally adjusted

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

[["Apr-12","May-12","Jun-12","Jul-12","Aug-12","Sep-12","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"],[[1600],[1606],[1580],[1590],[1589],[1600],[1587],[1602],[1604],[1603],[1605],[1598],[1612],[1606],[1606],[1616],[1621],[1608],[1608],[1605],[1605],[1599],[1607],[1614],[1603],[1611],[1619],[1617],[1617],[1612],[1612],[1614],[1601],[1630],[1628],[1637],[1639],[1636],[1635],[1640],[1638],[1649],[1655],[1655],[1651],[1661],[1664],[1656],[1633],[1665],[1657],[1662],[1664],[1660],[1666],[1668],[1674],[1695],[1663],[1680],[1666],[1714],[1709],[1700],[1705],[1713],[1717],[1730],[1721],[1701],[1724],[1728],[1743],[1732],[1744],[1744],[1744],[1748],[1756],[1753],[1748],[1762],[1764],[1779],[1770],[1769],[1770],[1773],[1778],[1780],[1777],[1776],[1783],[1774],[1772],[1770],[1588],[1608],[1669],[1686],[1690],[1690],[1730],[1754],[1751],[1669],[1765],[1809],[1783],[1817],[1786],[1778],[1718],[1728],[1727],[1805],[1819],[1665],[1815],[1810],[1833]],[[2.7999999999999998],[2],[-0.20000000000000001],[0.40000000000000002],[0.20000000000000001],[1.1000000000000001],[-0.40000000000000002],[0.90000000000000002],[1],[0.80000000000000004],[1.1000000000000001],[0.10000000000000001],[0.80000000000000004],[0],[1.7],[1.7],[2],[0.5],[1.3],[0.20000000000000001],[0.10000000000000001],[-0.29999999999999999],[0.10000000000000001],[1],[-0.59999999999999998],[0.29999999999999999],[0.80000000000000004],[0],[-0.20000000000000001],[0.20000000000000001],[0.29999999999999999],[0.59999999999999998],[-0.29999999999999999],[2],[1.3],[1.3999999999999999],[2.2000000000000002],[1.6000000000000001],[1],[1.5],[1.3],[2.2999999999999998],[2.7000000000000002],[2.5],[3.1000000000000001],[1.8999999999999999],[2.2000000000000002],[1.1000000000000001],[-0.29999999999999999],[1.7],[1.3999999999999999],[1.3],[1.6000000000000001],[0.69999999999999996],[0.59999999999999998],[0.80000000000000004],[1.3999999999999999],[2],[0],[1.5],[2],[3],[3.1000000000000001],[2.2999999999999998],[2.3999999999999999],[3.1000000000000001],[3.1000000000000001],[3.7000000000000002],[2.7999999999999998],[0.29999999999999999],[3.6000000000000001],[2.7999999999999998],[4.5999999999999996],[1.1000000000000001],[2],[2.6000000000000001],[2.2999999999999998],[2],[2.2999999999999998],[1.3],[1.6000000000000001],[3.6000000000000001],[2.2999999999999998],[3],[1.5],[2.1000000000000001],[1.5],[1.7],[2],[1.8],[1.2],[1.3],[2],[0.69999999999999996],[0.40000000000000002],[-0.5],[-10.300000000000001],[-9.0999999999999996],[-5.7000000000000002],[-4.9000000000000004],[-4.9000000000000004],[-5.0999999999999996],[-2.6000000000000001],[-1.2],[-1.8],[-5.9000000000000004],[-0.40000000000000002],[2.2000000000000002],[12.300000000000001],[13],[7],[5.5],[1.6000000000000001],[2.2000000000000002],[-0.20000000000000001],[2.8999999999999999],[3.8999999999999999],[-0.29999999999999999],[2.7999999999999998],[0.10000000000000001],[2.7999999999999998]]]

[]

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Participation

In seasonally adjusted terms, in April 2022, the participation rate:

decreased by 0.1 pts to 66.3%.
decreased by 0.1 pts for men to 70.7% and decreased by 0.1 pts to 62.1% for women.
was higher than March 2020 by 0.5 pts.

Participation rate, Seasonally adjusted
	People (%)	Males (%)	Females (%)
Apr-12	65.1	71.7	58.6
May-12	65.4	71.8	59.1
Jun-12	65.1	71.6	58.8
Jul-12	65.1	71.5	58.8
Aug-12	65.0	71.6	58.6
Sep-12	65.3	71.8	59.0
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	64.4	70.9	58.2
Jan-14	64.6	70.8	58.5
Feb-14	64.5	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	64.6	70.9	58.6
Sep-14	64.7	70.7	58.8
Oct-14	64.7	70.8	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	58.7
Apr-15	64.8	71.1	58.7
May-15	64.9	71.0	58.9
Jun-15	64.8	70.9	59.0
Jul-15	65.1	71.0	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	59.5
May-16	64.9	70.6	59.3
Jun-16	64.9	70.4	59.6
Jul-16	64.9	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	59.2
Jan-17	64.7	70.2	59.3
Feb-17	64.7	70.4	59.2
Mar-17	64.9	70.5	59.5
Apr-17	64.9	70.6	59.5
May-17	65.0	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	65.3	70.8	60.1
Oct-17	65.3	70.6	60.1
Nov-17	65.5	70.9	60.3
Dec-17	65.8	71.1	60.6
Jan-18	65.8	71.3	60.5
Feb-18	65.7	71.0	60.6
Mar-18	65.6	70.8	60.6
Apr-18	65.6	70.9	60.5
May-18	65.4	70.7	60.4
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	65.4	70.8	60.3
Oct-18	65.5	70.8	60.4
Nov-18	65.7	71.1	60.5
Dec-18	65.6	70.9	60.5
Jan-19	65.7	71.0	60.6
Feb-19	65.6	70.7	60.6
Mar-19	65.7	70.9	60.7
Apr-19	65.9	70.9	61.1
May-19	66.0	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	61.2
Oct-19	65.9	70.9	61.2
Nov-19	65.9	71.0	61.1
Dec-19	65.9	70.8	61.1
Jan-20	66.0	70.8	61.4
Feb-20	65.9	70.7	61.2
Mar-20	65.9	70.7	61.2
Apr-20	63.5	68.8	58.5
May-20	62.6	67.9	57.5
Jun-20	64.0	69.2	59.1
Jul-20	64.6	69.7	59.8
Aug-20	65.0	69.9	60.2
Sep-20	64.8	69.7	60.1
Oct-20	65.7	70.8	60.9
Nov-20	66.1	71.0	61.3
Dec-20	66.0	70.9	61.3
Jan-21	66.0	71.2	61.0
Feb-21	66.1	70.9	61.4
Mar-21	66.3	70.9	61.9
Apr-21	65.9	70.7	61.3
May-21	66.2	70.8	61.7
Jun-21	66.2	71.0	61.6
Jul-21	66.0	70.8	61.4
Aug-21	65.2	70.1	60.6
Sep-21	64.6	69.3	60.0
Oct-21	64.7	69.6	60.0
Nov-21	66.2	70.8	61.7
Dec-21	66.1	70.8	61.6
Jan-22	66.2	70.6	61.9
Feb-22	66.5	70.7	62.4
Mar-22	66.4	70.8	62.3
Apr-22	66.3	70.7	62.1

Participation rate, Seasonally adjusted

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

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,[67.900000000000006],[69.200000000000003],[69.700000000000003],[69.900000000000006],[69.700000000000003],[70.799999999999997],[71],[70.900000000000006],[71.200000000000003],[70.900000000000006],[70.900000000000006],[70.700000000000003],[70.799999999999997],[71],[70.799999999999997],[70.099999999999994],[69.299999999999997],[69.599999999999994],[70.799999999999997],[70.799999999999997],[70.599999999999994],[70.700000000000003],[70.799999999999997],[70.700000000000003]],[[58.600000000000001],[59.100000000000001],[58.799999999999997],[58.799999999999997],[58.600000000000001],[59],[58.799999999999997],[58.600000000000001],[58.600000000000001],[58.799999999999997],[58.899999999999999],[58.799999999999997],[59],[58.700000000000003],[58.700000000000003],[58.700000000000003],[58.700000000000003],[58.700000000000003],[58.700000000000003],[58.399999999999999],[58.200000000000003],[58.5],[58.600000000000001],[58.799999999999997],[58.5],[58.600000000000001],[58.700000000000003],[58.700000000000003],[58.600000000000001],[58.799999999999997],[58.700000000000003],[58.200000000000003],[58.600000000000001],[58.600000000000001],[58.799999999999997],[58.700000000000003],[58.700000000000003],[58.899999999999999],[59],[59.299999999999997],[59.100000000000001],[59.200000000000003],[59.399999999999999],[59.700000000000003],[59.5],[59.399999999999999],[59.399999999999999],[59.299999999999997],[59.5],[59.299999999999997],[59.600000000000001],[59.5],[59.100000000000001],[59.100000000000001],[59],[59.299999999999997],[59.200000000000003],[59.299999999999997],[59.200000000000003],[59.5],[59.5],[59.5],[59.799999999999997],[59.700000000000003],[60],[60.100000000000001],[60.100000000000001],[60.299999999999997],[60.600000000000001],[60.5],[60.600000000000001],[60.600000000000001],[60.5],[60.399999999999999],[60.600000000000001],[60.299999999999997],[60.399999999999999],[60.299999999999997],[60.399999999999999],[60.5],[60.5],[60.600000000000001],[60.600000000000001],[60.700000000000003],[61.100000000000001],[60.700000000000003],[60.899999999999999],[60.899999999999999],[61.200000000000003],[61.200000000000003],[61.200000000000003],[61.100000000000001],[61.100000000000001],[61.399999999999999],[61.200000000000003],[61.200000000000003],[58.5],[57.5],[59.100000000000001],[59.799999999999997],[60.200000000000003],[60.100000000000001],[60.899999999999999],[61.299999999999997],[61.299999999999997],[61],[61.399999999999999],[61.899999999999999],[61.299999999999997],[61.700000000000003],[61.600000000000001],[61.399999999999999],[60.600000000000001],[60],[60],[61.700000000000003],[61.600000000000001],[61.899999999999999],[62.399999999999999],[62.299999999999997],[62.100000000000001]]]

[]

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Underemployment

In seasonally adjusted terms, in April 2022:

underemployment rate decreased by 0.2 pts to 6.1%.
underemployment rate was 2.7 pts lower than March 2020.
underutilisation rate decreased by 0.3 pts to 10.0%.
underutilisation rate was 4.1 pts lower than March 2020.

Underemployment rate, Seasonally adjusted
	People (%)	Males (%)	Females (%)
Apr-12	7.3	5.5	9.4
May-12	7.4	5.5	9.6
Jun-12	7.2	5.4	9.3
Jul-12	7.1	5.2	9.2
Aug-12	6.9	5.1	9.0
Sep-12	6.8	5.1	8.9
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	5.3	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	6.3	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	6.8	10.7
Aug-15	8.4	6.5	10.7
Sep-15	8.8	6.8	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	6.6	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	10.5
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	9.1	7.0	11.5
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	6.8	10.4
Aug-17	8.6	6.9	10.6
Sep-17	8.5	6.8	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	6.7	10.6
Mar-18	8.6	6.6	10.9
Apr-18	8.5	6.4	10.8
May-18	8.4	6.4	10.7
Jun-18	8.6	6.6	10.8
Jul-18	8.5	6.4	10.8
Aug-18	8.2	6.1	10.6
Sep-18	8.3	6.3	10.6
Oct-18	8.3	6.2	10.6
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	8.1	6.3	10.1
Mar-19	8.3	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	9.9
Jul-19	8.4	6.7	10.3
Aug-19	8.5	7.0	10.3
Sep-19	8.3	6.8	10.0
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	10.8
Feb-20	8.6	6.6	10.8
Mar-20	8.8	7.2	10.6
Apr-20	13.8	12.6	15.1
May-20	13.1	12.2	14.1
Jun-20	11.7	10.8	12.6
Jul-20	11.2	10.4	12.2
Aug-20	11.3	10.6	12.1
Sep-20	11.4	10.7	12.1
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	8.4	7.3	9.7
Mar-21	8.0	6.7	9.4
Apr-21	7.9	6.6	9.3
May-21	7.5	6.4	8.7
Jun-21	7.9	6.9	9.1
Jul-21	8.3	7.1	9.6
Aug-21	9.3	8.5	10.1
Sep-21	9.2	8.5	10.0
Oct-21	9.4	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	6.6	5.4	7.8
Mar-22	6.3	5.1	7.7
Apr-22	6.1	5.0	7.4

Underemployment rate, Seasonally adjusted

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

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[]

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States and Territories

April 2022, Seasonally adjusted
	New South Wales	Victoria	Queensland	South Australia	Western Australia	Tasmania	Northern Territory	Australian Capital Territory	Australia
Employed people	4,221,000	3,497,100	2,706,200	878,800	1,463,900	260,700	134,000	234,500	13,401,700
Employed people - monthly change	0.2%	0.3%	-0.5%	-0.6%	-0.1%	-0.5%	2.2%	-0.1%	0.0%
Employment to population ratio	62.9%	64.6%	63.5%	60.0%	67.3%	58.0%	70.6%	68.5%	63.8%
Employment to population ratio - monthly change	0.0 pts	0.2 pts	-0.5 pts	-0.4 pts	-0.2 pts	-0.3 pts	1.5 pts	-0.1 pts	0.0 pts
Unemployment rate	3.5%	4.2%	4.5%	4.5%	2.9%	3.8%	4.1%	3.1%	3.9%
Unemployment rate - monthly change	-0.4 pts	0.1 pts	0.5 pts	-0.4 pts	-0.5 pts	-0.7 pts	0.1 pts	-0.3 pts	-0.1 pts
Underemployment rate	5.5%	6.1%	6.1%	7.6%	6.2%	6.9%	6.7%	4.7%	6.1%
Underemployment rate - monthly change	-0.5 pts	0.3 pts	-0.9 pts	-0.1 pts	-0.4 pts	0.1 pts	1.6 pts	0.0 pts	-0.2 pts
Participation rate	65.2%	67.4%	66.5%	62.8%	69.3%	60.2%	73.7%	70.7%	66.3%
Participation rate - monthly change	-0.2 pts	0.3 pts	-0.1 pts	-0.7 pts	-0.5 pts	-0.7 pts	1.7 pts	-0.3 pts	-0.1 pts

Rotation group analysis

Sample composition and rotation

Estimates for the incoming and outgoing rotation groups

Incoming and outgoing rotation groups
	March outgoing rotation group	April incoming rotation group	April outgoing rotation group	April estimate (Original)
Employment to population ratio	63.1%	63.1%	63.9%	63.8%
Full-time employment to population ratio	42.8%	43.4%	45.1%	44.3%
Unemployment rate	3.9%	3.4%	3.7%	3.9%
Participation rate	65.7%	65.3%	66.3%	66.4%

States and territories

Managing COVID-19 impacts on incoming rotation groups

Comparability with seasonally adjusted data

Contribution from sample components to estimates

Data files

Download xlsx [42.99 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 [980.71 KB]
Table 4. Labour force status by Sex, New South Wales - Trend, Seasonally adjusted and Original
Download xlsx [684.91 KB]
Table 5. Labour force status by Sex, Victoria - Trend, Seasonally adjusted and Original
Download xlsx [684.81 KB]
Table 6. Labour force status by Sex, Queensland - Trend, Seasonally adjusted and Original
Download xlsx [687.02 KB]
Table 7. Labour force status by Sex, South Australia - Trend, Seasonally adjusted and Original
Download xlsx [683.23 KB]
Table 8. Labour force status by Sex, Western Australia - Trend, Seasonally adjusted and Original
Download xlsx [685.73 KB]
Table 9. Labour force status by Sex, Tasmania - Trend, Seasonally adjusted and Original
Download xlsx [689.46 KB]
Table 10. Labour force status by Sex, Northern Territory - Trend and Original
Download xlsx [635.37 KB]
Table 10a. Labour force status by Sex, Northern Territory - Seasonally adjusted
Download xlsx [160.07 KB]
Table 11. Labour force status by Sex, Australian Capital Territory - Trend and Original
Download xlsx [588.4 KB]
Table 11a. Labour force status by Sex, Australian Capital Territory - Seasonally adjusted
Download xlsx [160.21 KB]
Table 12. Labour force status by Sex, State and Territory - Trend, Seasonally adjusted and Original
Download xlsx [5.89 MB]
Table 12a. Labour force status by Sex, Territory - Seasonally adjusted
Download xlsx [273.64 KB]
Table 13. Labour force status for 15-24 year olds by Sex - Trend, Seasonally adjusted and Original
Download xlsx [969.42 KB]
Table 15. Labour force status for 15-24 year olds by Educational attendance (full-time) and Sex
Download xlsx [759.45 KB]
Table 16. Labour force status for 15-24 year olds by State, Territory and Educational attendance (full-time)
Download xlsx [2.32 MB]
Table 17. Labour force status for 15-19 year olds by Sex - Trend, Seasonally adjusted and Original
Download xlsx [794.92 KB]
Table 18. Labour force status for 15-64 year olds by Sex - Trend, Seasonally adjusted and Original
Download xlsx [976.12 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 [370.01 KB]
Table 19a. Monthly hours worked in all jobs by Employed full-time, part-time and Sex and Territory - Seasonally adjusted
Download xlsx [59.98 KB]
Table 21. Quarterly hours worked in all jobs by Market and Non-market sector - Seasonally adjusted
Download xlsx [56.78 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 [20.51 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 [9.5 MB]

Underemployment and underutilisation

Data files

Table 22. Underutilised persons by Age and Sex - Trend, Seasonally adjusted and Original
Download xlsx [6.61 MB]
Table 23. Underutilised persons by State and Territory and Sex - Trend, Seasonally adjusted and Original
Download xlsx [8.31 MB]
Table 23a. Underutilised persons by Territory and Sex - Seasonally adjusted
Download xlsx [394.43 KB]
Table 24. Underutilised persons by Age and Sex (expanded analytical series)
Download xlsx [416.94 KB]
Table 25. Underutilised persons by State, Territory and Sex (expanded analytical series)
Download xlsx [345.58 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 [96.68 MB]

All time series spreadsheets

Data files

Download zip [29.01 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

APA

Labour Force, Australia

APA

Key statistics

Survey impacts and changes

Annual Series Review

Articles and other information

Seasonal adjustment and trend estimates

Impacts from floods in New South Wales and Queensland

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

Managing COVID-19 impacts on incoming rotation groups

Comparability with seasonally adjusted 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

Insights into hours worked, April 2022

Historical charts from August 1966 to April 2022

Media releases

Unemployment rate at 3.9%

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