Labour Force, Australia, February 2022

	Jan-2022	Feb-2022	Monthly change	Monthly change (%)	Yearly change	Yearly change (%)
Seasonally adjusted
Employed people	13,294,600	13,372,000	77,400	0.6%	395,400	3.0%
Unemployed people	581,800	563,300	-18,500	-3.2%	-244,800	-30.3%
Unemployment rate	4.2%	4.0%	-0.2 pts	na	-1.8 pts	na
Underemployment rate	6.7%	6.6%	-0.1 pts	na	-1.8 pts	na
Participation rate	66.2%	66.4%	0.2 pts	na	0.4 pts	na
Monthly hours worked in all jobs	1,665 million	1,813 million	149 million	8.9%	49 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

Articles and other information

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

hours worked
people who were not employed but indicated they were attached to a job

This detailed information can be found in:

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

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

Additional spreadsheets and pivot tables are published in Labour Force, Australia, Detailed one week after this release, while longitudinal labour force microdata are released in the ABS DataLab, on 24 March 2022 (see Microdata: Longitudinal Labour Force, Australia).

Quarterly rebenchmarking of labour force statistics

Seasonal adjustment and trend estimates

Survey response and timeline - Floods in February

Reference and Enumeration Dates
Publication	Start of Reference Week	End of Reference Week	Start of Enumeration	End of Enumeration
January 2022	2nd January 2022	15th January 2022	9th January 2022	29th January 2022
February 2022	30th January 2022	12th February 2022	6th February 2022	26th February 2022
March 2022	27th February 2022	12th March 2022	6th March 2022	26th March 2022
April 2022	3rd April 2022	16th April 2022	10th April 2022	30th April 2022
May 2022	1st May 2022	14th May 2022	8th May 2022	28th May 2022
June 2022	29th May 2022	11th June 2022	5th June 2022	25th June 2022

Unemployment

In seasonally adjusted terms, in February 2022:

unemployment rate fell to 4.0%.
unemployment rate was 1.2 pts below March 2020.
unemployed people decreased by 18,500 to 563,300.
unemployed people was 159,900 lower than March 2020.
youth unemployment rate increased by 0.3 pts to 9.3%.
youth unemployment rate was 2.3 pts lower than March 2020.

Unemployment rate, Seasonally adjusted
	People (%)
Feb-12	5.2
Mar-12	5.2
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	6.4
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	6.1
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	5.7
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	5.5
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	5.6
Apr-18	5.6
May-18	5.4
Jun-18	5.3
Jul-18	5.3
Aug-18	5.2
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	5.2
Sep-19	5.2
Oct-19	5.3
Nov-19	5.2
Dec-19	5.0
Jan-20	5.3
Feb-20	5.1
Mar-20	5.3
Apr-20	6.4
May-20	7.0
Jun-20	7.4
Jul-20	7.4
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	5.9
Mar-21	5.7
Apr-21	5.5
May-21	5.1
Jun-21	4.9
Jul-21	4.6
Aug-21	4.5
Sep-21	4.6
Oct-21	5.2
Nov-21	4.6
Dec-21	4.2
Jan-22	4.2
Feb-22	4.0

Unemployment rate, Seasonally adjusted

["","People"]

[["Feb-12","Mar-12","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"],[[5.2020774999999997],[5.1852609000000003],[4.9957336000000003],[5.2001925],[5.1598784000000002],[5.1829523999999996],[5.1548014000000002],[5.4824114000000002],[5.4131844999999998],[5.2562844000000002],[5.4355003999999996],[5.3904534999999996],[5.4106749000000001],[5.6444697000000001],[5.5905519000000004],[5.6101263000000001],[5.6896661999999996],[5.6346733999999996],[5.8382851000000002],[5.6951092000000001],[5.8253341000000001],[5.7965781999999999],[5.9041404000000002],[5.9442184999999998],[5.8950288000000004],[5.8822963000000001],[5.8090992999999997],[5.9309767999999998],[6.0369073000000002],[6.1586581999999996],[6.0851772999999998],[6.2165530000000002],[6.3595455999999997],[6.2977230999999998],[6.1097010000000003],[6.3521429999999999],[6.1660007999999999],[6.1149738999999999],[6.1216758000000002],[5.9331828],[5.9886409],[6.2562318000000001],[6.0675444000000001],[6.1465858000000004],[5.9114361000000004],[5.8538462999999998],[5.7470062000000004],[6.0433538000000002],[5.7174443999999998],[5.6722935999999997],[5.6601885000000003],[5.7195295000000002],[5.6664101999999996],[5.6728408999999997],[5.5874579000000004],[5.6244907],[5.5721352],[5.7626425000000001],[5.8334644999999998],[5.7091900000000004],[5.8858855999999999],[5.8872711000000004],[5.6368432999999998],[5.5397968000000004],[5.5609770999999997],[5.5656537999999998],[5.4890027999999997],[5.4210412000000003],[5.3503904999999996],[5.4212863999999996],[5.6064958000000003],[5.5355251000000001],[5.6095306999999996],[5.5550483000000002],[5.5591555000000001],[5.3860261999999999],[5.2775333],[5.2593185],[5.2398974999999997],[4.9868633000000004],[4.9798138999999999],[5.1085134999999999],[5.0049219999999996],[5.0813734000000004],[5.0077837000000001],[5.1358012000000004],[5.2429674000000004],[5.1993530000000003],[5.2015374000000003],[5.2285073999999998],[5.2238046000000002],[5.1609419000000001],[5.2710428],[5.1572301999999999],[5.0463256000000003],[5.3116887999999998],[5.1336598999999996],[5.2718404999999997],[6.3742761999999997],[7.0185589000000004],[7.3535044000000003],[7.4478023000000002],[6.7580844000000004],[6.8546402999999998],[6.9359921],[6.8328715000000004],[6.5778588999999998],[6.3996278999999996],[5.8627088000000001],[5.6938231000000004],[5.4713826000000001],[5.0658396999999997],[4.9071290000000003],[4.6293303000000003],[4.5168409],[4.6346967000000001],[5.2259222999999997],[4.6102043999999998],[4.1577753],[4.1930607000000002],[4.0423945999999997]]]

[]

[{"axis_id":"0","tick_interval":"6","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"4","axis_max":"8","tick_interval":"0.5","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Employment

In seasonally adjusted terms, in February 2022:

employment increased by 77,400 people (0.6%) to 13,372,000 people.
employment was 376,500 people (2.9%) higher than March 2020.

Flows into and out of employment

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

For February 2022, the net change in the number of employed people is the result of around 721,000 people entered employment (i.e. they were not employed in January but were employed in February), while around 386,000 people left employment (i.e. they were employed in January but were not employed in February). This contrasts with January 2022 where around 437,000 people entered employment and around 786,000 people left employment.

Monthly inflows, outflows and employment growth, Original
	Employed people growth ('000)	Inflow ('000)	Outflow ('000)
Feb-17	217	638	-383
Mar-17	18	492	-397
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

Monthly inflows, outflows and employment growth, Original

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

[["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"],[[217],[18],[68],[67],[-2],[6],[-16],[88],[17],[103],[114],[-263],[223],[-33],[31],[47],[36],[-33],[-28],[68],[39],[87],[98],[-236],[199],[-17],[46],[89],[-31],[-2],[-29],[68],[-26],[95],[102],[-266],[221],[-48],[-592],[-220],[200],[80],[91],[5],[168],[146],[114],[-261],[301],[27],[-28],[167],[-19],[-23],[-209],[-97],[-42],[436],[154],[-286],[321]],[[638],[492],[490],[405],[398],[425],[429],[461],[402],[442],[414],[360],[649],[409],[398],[431],[407],[430],[419],[476],[422],[439],[442],[428],[611],[410],[445],[413],[382],[431],[469],[431],[381],[449],[443],[415],[644],[435],[356],[585],[610],[559],[523],[488],[548],[525],[502],[421],[676],[474],[498],[509],[421],[499],[460],[520],[538],[836],[534],[437],[721]],[[-383],[-397],[-439],[-357],[-433],[-418],[-435],[-380],[-402],[-352],[-390],[-652],[-382],[-426],[-395],[-401],[-403],[-440],[-415],[-405],[-435],[-375],[-403],[-680],[-361],[-432],[-396],[-377],[-455],[-467],[-436],[-363],[-445],[-397],[-411],[-709],[-397],[-464],[-952],[-783],[-422],[-437],[-495],[-437],[-411],[-356],[-391],[-664],[-355],[-415],[-480],[-371],[-460],[-545],[-646],[-634],[-540],[-402],[-410],[-786],[-386]]]

[]

[{"axis_id":"0","tick_interval":"3","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"value":"0","axis_id":"0","axis_title":"'000","axis_units":"","tooltip_units":"('000)","table_units":"('000)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"0","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Note: As the inflows and outflows analysis is based on the matched sample (around 80% of the sample), and the original employment growth is based on the entire sample and the latest months weight, the (net) sum of the inflows and outflows does not necessarily equal the 'net' employment growth.

The following diagram shows the proportion of people moving between employment, unemployment and not in the labour force between January 2022 and February 2022 (based on the matched sample). It shows that:

97% of people employed in January were also employed in February (with 1% moving to unemployment and 2% to not in the labour force).
51% of people unemployed in January were also unemployed in February (with 29% moving to employment and 20% to not in the labour force).
90% of people not in the labour force in January were also not in the labour force in February (with 8% moving to employment and 2% to unemployment).

Flows in labour force status, January to February

Image

This diagram shows the proportion of people moving between employment, unemployment and not in the labour force between January and February (based on the matched sample).

Description

This diagram shows the proportion of people moving between employment, unemployment and not in the labour force between January 2022 and February 2022 (based on the matched sample). It shows that: - 97% of people employed in January were also employed in February (with 1% moving to unemployment and 2% to not in the labour force) - 51% of people unemployed in January were also unemployed in February (with 29% moving to employment and 20% to not in the labour force) - 90% of people not in the labour force in January were also not in the labour force in February (with 8% moving to employment and 2% to unemployment)

Employed people, Seasonally adjusted
	Employed people ('000)
Feb-12	11,269.2
Mar-12	11,332.1
Apr-12	11,320.6
May-12	11,364.8
Jun-12	11,340.7
Jul-12	11,348.9
Aug-12	11,361.5
Sep-12	11,392.0
Oct-12	11,391.2
Nov-12	11,384.2
Dec-12	11,394.6
Jan-13	11,460.8
Feb-13	11,464.6
Mar-13	11,433.2
Apr-13	11,465.8
May-13	11,459.0
Jun-13	11,473.5
Jul-13	11,458.2
Aug-13	11,461.2
Sep-13	11,477.3
Oct-13	11,470.8
Nov-13	11,447.6
Dec-13	11,416.2
Jan-14	11,451.7
Feb-14	11,474.2
Mar-14	11,529.7
Apr-14	11,536.2
May-14	11,515.3
Jun-14	11,533.6
Jul-14	11,548.3
Aug-14	11,550.6
Sep-14	11,549.5
Oct-14	11,542.5
Nov-14	11,544.0
Dec-14	11,594.7
Jan-15	11,603.6
Feb-15	11,671.1
Mar-15	11,690.7
Apr-15	11,690.3
May-15	11,736.9
Jun-15	11,734.6
Jul-15	11,764.6
Aug-15	11,773.5
Sep-15	11,787.1
Oct-15	11,860.8
Nov-15	11,895.2
Dec-15	11,901.8
Jan-16	11,904.4
Feb-16	11,921.5
Mar-16	11,938.3
Apr-16	11,945.5
May-16	11,947.3
Jun-16	11,973.6
Jul-16	12,001.7
Aug-16	11,975.1
Sep-16	11,957.2
Oct-16	11,985.4
Nov-16	12,010.6
Dec-16	12,030.5
Jan-17	12,047.4
Feb-17	12,050.0
Mar-17	12,113.3
Apr-17	12,167.3
May-17	12,199.5
Jun-17	12,239.5
Jul-17	12,266.1
Aug-17	12,316.8
Sep-17	12,347.3
Oct-17	12,353.9
Nov-17	12,406.3
Dec-17	12,443.2
Jan-18	12,476.5
Feb-18	12,470.5
Mar-18	12,485.7
Apr-18	12,506.8
May-18	12,512.3
Jun-18	12,591.7
Jul-18	12,580.0
Aug-18	12,620.6
Sep-18	12,631.4
Oct-18	12,661.3
Nov-18	12,692.6
Dec-18	12,711.5
Jan-19	12,743.7
Feb-19	12,742.5
Mar-19	12,775.7
Apr-19	12,815.8
May-19	12,858.7
Jun-19	12,872.6
Jul-19	12,891.7
Aug-19	12,930.7
Sep-19	12,942.7
Oct-19	12,908.6
Nov-19	12,943.6
Dec-19	12,966.8
Jan-20	12,982.4
Feb-20	12,995.4
Mar-20	12,995.5
Apr-20	12,403.7
May-20	12,139.7
Jun-20	12,377.3
Jul-20	12,479.1
Aug-20	12,626.6
Sep-20	12,581.4
Oct-20	12,741.3
Nov-20	12,828.8
Dec-20	12,866.1
Jan-21	12,895.3
Feb-21	12,976.6
Mar-21	13,051.6
Apr-21	13,022.7
May-21	13,140.7
Jun-21	13,170.0
Jul-21	13,169.1
Aug-21	13,019.2
Sep-21	12,873.3
Oct-21	12,822.9
Nov-21	13,195.4
Dec-21	13,266.3
Jan-22	13,294.6
Feb-22	13,372.0

Employed people, Seasonally adjusted

["","Employed people"]

[["Feb-12","Mar-12","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"],[[11269.200000000001],[11332.1],[11320.6],[11364.799999999999],[11340.700000000001],[11348.9],[11361.5],[11392],[11391.200000000001],[11384.200000000001],[11394.6],[11460.799999999999],[11464.6],[11433.200000000001],[11465.799999999999],[11459],[11473.5],[11458.200000000001],[11461.200000000001],[11477.299999999999],[11470.799999999999],[11447.6],[11416.200000000001],[11451.700000000001],[11474.200000000001],[11529.700000000001],[11536.200000000001],[11515.299999999999],[11533.6],[11548.299999999999],[11550.6],[11549.5],[11542.5],[11544],[11594.700000000001],[11603.6],[11671.1],[11690.700000000001],[11690.299999999999],[11736.9],[11734.6],[11764.6],[11773.5],[11787.1],[11860.799999999999],[11895.200000000001],[11901.799999999999],[11904.4],[11921.5],[11938.299999999999],[11945.5],[11947.299999999999],[11973.6],[12001.700000000001],[11975.1],[11957.200000000001],[11985.4],[12010.6],[12030.5],[12047.4],[12050],[12113.299999999999],[12167.299999999999],[12199.5],[12239.5],[12266.1],[12316.799999999999],[12347.299999999999],[12353.9],[12406.299999999999],[12443.200000000001],[12476.5],[12470.5],[12485.700000000001],[12506.799999999999],[12512.299999999999],[12591.700000000001],[12580],[12620.6],[12631.4],[12661.299999999999],[12692.6],[12711.5],[12743.700000000001],[12742.5],[12775.700000000001],[12815.799999999999],[12858.700000000001],[12872.6],[12891.700000000001],[12930.700000000001],[12942.700000000001],[12908.6],[12943.6],[12966.799999999999],[12982.4],[12995.4],[12995.5],[12403.700000000001],[12139.700000000001],[12377.299999999999],[12479.1],[12626.6],[12581.4],[12741.299999999999],[12828.799999999999],[12866.1],[12895.299999999999],[12976.6],[13051.6],[13022.700000000001],[13140.700000000001],[13170],[13169.1],[13019.200000000001],[12873.299999999999],[12822.9],[13195.4],[13266.299999999999],[13294.6],[13372]]]

[]

[{"axis_id":"0","tick_interval":"6","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"value":"0","axis_id":"0","axis_title":"'000","axis_units":"","tooltip_units":"('000)","table_units":"('000)","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Full-time and part-time employment

In seasonally adjusted terms, in February 2022:

full-time employment increased by 121,900 to 9,228,000 people, and part-time employment decreased by 44,500 to 4,144,000 people.
part-time share of employment was 31.0%, 0.8 pts lower than in March 2020.

Employment-to-population ratio

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

increased by 0.3 pts to 63.8%.
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 (%)
Feb-12	61.7	68.1	55.5
Mar-12	62.0	68.1	55.9
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	61.2	67.1	55.4
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	60.7	66.6	55.1
Mar-14	60.9	66.9	55.2
Apr-14	60.9	66.9	55.1
May-14	60.7	66.6	55.1
Jun-14	60.8	66.6	55.1
Jul-14	60.8	66.6	55.1
Aug-14	60.7	66.6	55.0
Sep-14	60.6	66.5	55.0
Oct-14	60.5	66.4	54.8
Nov-14	60.5	66.6	54.6
Dec-14	60.7	66.6	54.9
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	55.9
Apr-16	61.2	66.6	56.1
May-16	61.2	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	60.9	66.4	55.7
Nov-16	61.0	66.3	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	55.9
Apr-17	61.3	66.8	56.0
May-17	61.4	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	67.1	57.3
Jan-18	62.1	67.3	57.1
Feb-18	62.0	67.0	57.1
Mar-18	61.9	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	67.3	57.2
Oct-18	62.2	67.3	57.4
Nov-18	62.3	67.4	57.4
Dec-18	62.3	67.5	57.4
Jan-19	62.4	67.4	57.5
Feb-19	62.3	67.2	57.6
Mar-19	62.3	67.3	57.5
Apr-19	62.5	67.2	57.9
May-19	62.6	67.8	57.6
Jun-19	62.6	67.7	57.7
Jul-19	62.6	67.6	57.8
Aug-19	62.7	67.6	58.0
Sep-19	62.7	67.3	58.1
Oct-19	62.4	67.0	58.0
Nov-19	62.5	67.2	58.0
Dec-19	62.5	67.2	58.1
Jan-20	62.5	66.9	58.3
Feb-20	62.5	67.0	58.2
Mar-20	62.4	66.9	58.0
Apr-20	59.5	64.2	55.0
May-20	58.2	63.1	53.5
Jun-20	59.4	64.0	54.8
Jul-20	59.8	64.5	55.3
Aug-20	60.6	65.1	56.2
Sep-20	60.4	64.8	56.1
Oct-20	61.1	65.8	56.6
Nov-20	61.5	66.3	56.9
Dec-20	61.7	66.3	57.3
Jan-21	61.8	66.5	57.3
Feb-21	62.2	66.5	58.0
Mar-21	62.5	66.7	58.5
Apr-21	62.4	66.7	58.2
May-21	62.9	67.1	58.8
Jun-21	63.0	67.4	58.8
Jul-21	63.0	67.6	58.6
Aug-21	62.3	66.8	57.9
Sep-21	61.6	66.2	57.1
Oct-21	61.3	66.0	56.7
Nov-21	63.1	67.5	58.8
Dec-21	63.4	67.9	59.0
Jan-22	63.4	67.4	59.6
Feb-22	63.8	67.7	60.0

Employment-to-population ratio, Seasonally adjusted

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

[["Feb-12","Mar-12","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"],[[61.7158418],[61.950746199999998],[61.800827900000002],[61.954498299999997],[61.736075499999998],[61.690318499999997],[61.668037400000003],[61.743109099999998],[61.653789500000002],[61.531508600000002],[61.503618099999997],[61.758002300000001],[61.676147100000001],[61.4054918],[61.500537299999998],[61.384433600000001],[61.3822805],[61.217148399999999],[61.150551100000001],[61.153807299999997],[61.057169100000003],[60.872066099999998],[60.643985499999999],[60.729322000000003],[60.746290100000003],[60.937548900000003],[60.912037499999997],[60.742787],[60.780091599999999],[60.782635999999997],[60.719399500000002],[60.639273899999999],[60.535575399999999],[60.476357800000002],[60.674945899999997],[60.6279842],[60.886846200000001],[60.894941899999999],[60.831792299999996],[61.0128238],[60.939799299999997],[61.020796699999998],[60.992846200000002],[60.9889984],[61.301873299999997],[61.410792600000001],[61.3759637],[61.286403399999998],[61.271484399999999],[61.255021900000003],[61.222652500000002],[61.162319400000001],[61.2279822],[61.277987400000001],[61.049512700000001],[60.8658109],[60.932224900000001],[60.982856499999997],[61.006534299999998],[60.977915299999999],[60.877569200000003],[61.083673500000003],[61.284210899999998],[61.374517300000001],[61.504154],[61.549474699999998],[61.716890399999997],[61.782581200000003],[61.751939],[61.950504700000003],[62.071223000000003],[62.1238125],[61.981170499999998],[61.944080800000002],[61.975099],[61.9284386],[62.247352599999999],[62.094467100000003],[62.199601399999999],[62.157723500000003],[62.232382399999999],[62.314136599999998],[62.334677599999999],[62.3831974],[62.2681416],[62.321444800000002],[62.454272500000002],[62.600827299999999],[62.6059166],[62.6031555],[62.697641300000001],[62.6603663],[62.418066199999998],[62.510113699999998],[62.545131400000002],[62.5210267],[62.483789899999998],[62.385207800000003],[59.521967400000001],[58.233224100000001],[59.350620999999997],[59.846543699999998],[60.561336699999998],[60.351665699999998],[61.111516100000003],[61.523619600000004],[61.694957500000001],[61.816562400000002],[62.188151599999998],[62.529228699999997],[62.361692499999997],[62.897415899999999],[63.008031000000003],[62.9913436],[62.262472600000002],[61.552473599999999],[61.291815900000003],[63.052253100000001],[63.3704155],[63.449302199999998],[63.762406800000001]],[[68.142823000000007],[68.130799400000001],[68.170339200000001],[68.203883700000006],[68.097178999999997],[67.835557199999997],[67.834813199999999],[67.739294999999998],[67.945371600000001],[67.695697699999997],[67.847567299999994],[68.023358099999996],[67.792282],[67.434433100000007],[67.490818099999998],[67.546815800000005],[67.514610899999994],[67.219151299999993],[67.1208831],[67.125801699999997],[66.973555200000007],[66.822443500000006],[66.607164600000004],[66.661709900000005],[66.603242499999993],[66.905623000000006],[66.883757099999997],[66.584861500000002],[66.603555900000003],[66.6429945],[66.591514099999998],[66.454187300000001],[66.419580100000005],[66.586770999999999],[66.592965699999993],[66.522289599999993],[66.7906342],[66.930240400000002],[66.697149899999999],[66.811766899999995],[66.636248699999996],[66.785425099999998],[66.601103499999994],[66.571999899999994],[66.887609900000001],[66.871829399999996],[66.930132],[66.961973],[66.750721100000007],[66.752211299999999],[66.5713784],[66.642059200000006],[66.610147799999993],[66.736049300000005],[66.527551900000006],[66.169684700000005],[66.357251399999996],[66.343785299999993],[66.426525600000005],[66.271528500000002],[66.280840499999996],[66.416318200000006],[66.810836300000005],[66.732599899999997],[66.702737200000001],[66.900958000000003],[66.924868200000006],[66.931520699999993],[66.8915595],[67.117913000000001],[67.063450099999997],[67.322586599999994],[67.013261799999995],[66.877506499999996],[66.915074899999993],[66.944544399999998],[67.123556600000001],[67.225519599999998],[67.408116699999994],[67.343408699999998],[67.2950017],[67.386598300000003],[67.458694600000001],[67.448605900000004],[67.152835199999998],[67.288246700000002],[67.176045000000002],[67.762754299999997],[67.655351699999997],[67.631151900000006],[67.576932600000006],[67.349729800000006],[67.0111682],[67.206072300000002],[67.177344500000004],[66.938643400000004],[66.966764600000005],[66.913767800000002],[64.195366199999995],[63.149873999999997],[64.0322496],[64.540575200000006],[65.059273500000003],[64.765909600000001],[65.817705399999994],[66.323581399999995],[66.253331900000006],[66.496816699999997],[66.5331209],[66.673559299999994],[66.709801400000003],[67.143307699999994],[67.411345699999998],[67.595175400000002],[66.814635999999993],[66.204792800000007],[66.028653399999996],[67.512938199999994],[67.935909499999994],[67.428644500000004],[67.720275400000006]],[[55.472986300000002],[55.947528400000003],[55.612878700000003],[55.8825553],[55.554908900000001],[55.718657200000003],[55.675184299999998],[55.915791499999997],[55.539913900000002],[55.541911900000002],[55.339877199999997],[55.671389499999997],[55.735266500000002],[55.550046000000002],[55.682637999999997],[55.399405799999997],[55.4264382],[55.389366000000003],[55.354975199999998],[55.358080000000001],[55.318181199999998],[55.1029257],[54.865214899999998],[54.9799127],[55.069534300000001],[55.152626900000001],[55.124332699999997],[55.0814375],[55.1375046],[55.105345],[55.031797099999999],[55.008107000000003],[54.838533599999998],[54.561175400000003],[54.947049],[54.923743799999997],[55.174151100000003],[55.055720100000002],[55.1578594],[55.404023500000001],[55.4309704],[55.447177099999998],[55.571519799999997],[55.593198700000002],[55.904821300000002],[56.1356307],[56.012213000000003],[55.805873499999997],[55.980932899999999],[55.947572999999998],[56.059366199999999],[55.873373999999998],[56.0340384],[56.011539300000003],[55.7645579],[55.749601499999997],[55.699573999999998],[55.8124532],[55.779584399999997],[55.872549399999997],[55.666146300000001],[55.940070200000001],[55.953516100000002],[56.206387800000002],[56.489881199999999],[56.388238899999997],[56.694692500000002],[56.817965700000002],[56.796731299999998],[56.9689421],[57.258943199999997],[57.111994500000002],[57.129626500000001],[57.187255200000003],[57.211608599999998],[57.091206800000002],[57.544685899999998],[57.146076100000002],[57.1765361],[57.156728399999999],[57.350462700000001],[57.423103099999999],[57.394325500000001],[57.498899799999997],[57.5576607],[57.531351800000003],[57.900661999999997],[57.622939799999997],[57.736693699999996],[57.755281400000001],[57.993769100000002],[58.1402128],[57.991501999999997],[57.985248400000003],[58.082486699999997],[58.265765000000002],[58.166210300000003],[58.024374299999998],[55.021787699999997],[53.498943599999997],[54.842773200000003],[55.327010899999998],[56.230852599999999],[56.101997500000003],[56.581141700000003],[56.903317199999996],[57.307543299999999],[57.311711799999998],[58.005881500000001],[58.5399721],[58.176251700000002],[58.810321899999998],[58.769359000000001],[58.559762399999997],[57.880724999999998],[57.074430999999997],[56.733089200000002],[58.759938200000001],[58.977885899999997],[59.620517800000002],[59.954085900000003]]]

[]

[{"axis_id":"0","tick_interval":"6","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"5","axis_min":"50.0","axis_max":"70.0","axis_title":"%","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Hours worked

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

increased by 148.7 million hours (8.9%) to 1,813 million hours.
increased by 48.4 million hours (2.7%) 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 (%)
Feb-12	1,587	0.4
Mar-12	1,596	0.9
Apr-12	1,601	2.9
May-12	1,606	2.0
Jun-12	1,579	-0.2
Jul-12	1,590	0.4
Aug-12	1,589	0.3
Sep-12	1,600	1.1
Oct-12	1,587	-0.4
Nov-12	1,601	0.9
Dec-12	1,603	0.9
Jan-13	1,602	0.7
Feb-13	1,604	1.1
Mar-13	1,598	0.1
Apr-13	1,615	0.9
May-13	1,606	0.0
Jun-13	1,607	1.7
Jul-13	1,617	1.7
Aug-13	1,621	2.0
Sep-13	1,609	0.6
Oct-13	1,608	1.3
Nov-13	1,605	0.2
Dec-13	1,604	0.1
Jan-14	1,599	-0.2
Feb-14	1,607	0.2
Mar-14	1,613	1.0
Apr-14	1,604	-0.7
May-14	1,612	0.3
Jun-14	1,618	0.7
Jul-14	1,617	0.0
Aug-14	1,617	-0.2
Sep-14	1,613	0.2
Oct-14	1,611	0.2
Nov-14	1,613	0.5
Dec-14	1,602	-0.1
Jan-15	1,630	2.0
Feb-15	1,628	1.3
Mar-15	1,635	1.4
Apr-15	1,642	2.3
May-15	1,636	1.5
Jun-15	1,634	0.9
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	1,653	2.5
Dec-15	1,652	3.1
Jan-16	1,661	1.9
Feb-16	1,663	2.2
Mar-16	1,657	1.3
Apr-16	1,637	-0.3
May-16	1,664	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	0.7
Nov-16	1,666	0.8
Dec-16	1,675	1.4
Jan-17	1,695	2.1
Feb-17	1,663	0.0
Mar-17	1,681	1.5
Apr-17	1,670	2.0
May-17	1,713	3.0
Jun-17	1,708	3.1
Jul-17	1,700	2.3
Aug-17	1,704	2.4
Sep-17	1,712	3.1
Oct-17	1,717	3.1
Nov-17	1,726	3.6
Dec-17	1,722	2.8
Jan-18	1,701	0.4
Feb-18	1,723	3.6
Mar-18	1,726	2.7
Apr-18	1,750	4.8
May-18	1,732	1.1
Jun-18	1,743	2.0
Jul-18	1,743	2.5
Aug-18	1,743	2.3
Sep-18	1,748	2.1
Oct-18	1,758	2.3
Nov-18	1,749	1.3
Dec-18	1,748	1.5
Jan-19	1,761	3.5
Feb-19	1,764	2.4
Mar-19	1,776	2.9
Apr-19	1,776	1.5
May-19	1,769	2.1
Jun-19	1,771	1.6
Jul-19	1,772	1.7
Aug-19	1,777	1.9
Sep-19	1,781	1.9
Oct-19	1,778	1.2
Nov-19	1,773	1.3
Dec-19	1,784	2.1
Jan-20	1,774	0.8
Feb-20	1,771	0.4
Mar-20	1,765	-0.6
Apr-20	1,596	-10.2
May-20	1,608	-9.1
Jun-20	1,669	-5.7
Jul-20	1,683	-5.0
Aug-20	1,687	-5.0
Sep-20	1,690	-5.1
Oct-20	1,733	-2.5
Nov-20	1,754	-1.1
Dec-20	1,754	-1.7
Jan-21	1,669	-6.0
Feb-21	1,764	-0.4
Mar-21	1,804	2.2
Apr-21	1,792	12.3
May-21	1,817	13.0
Jun-21	1,784	6.9
Jul-21	1,780	5.8
Aug-21	1,713	1.5
Sep-21	1,727	2.2
Oct-21	1,725	-0.5
Nov-21	1,803	2.8
Dec-21	1,822	3.9
Jan-22	1,665	-0.2
Feb-22	1,813	2.8

Monthly hours worked in all jobs, Seasonally adjusted

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

[["Feb-12","Mar-12","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"],[[1587],[1596],[1601],[1606],[1579],[1590],[1589],[1600],[1587],[1601],[1603],[1602],[1604],[1598],[1615],[1606],[1607],[1617],[1621],[1609],[1608],[1605],[1604],[1599],[1607],[1613],[1604],[1612],[1618],[1617],[1617],[1613],[1611],[1613],[1602],[1630],[1628],[1635],[1642],[1636],[1634],[1640],[1638],[1649],[1655],[1653],[1652],[1661],[1663],[1657],[1637],[1664],[1657],[1662],[1664],[1660],[1666],[1666],[1675],[1695],[1663],[1681],[1670],[1713],[1708],[1700],[1704],[1712],[1717],[1726],[1722],[1701],[1723],[1726],[1750],[1732],[1743],[1743],[1743],[1748],[1758],[1749],[1748],[1761],[1764],[1776],[1776],[1769],[1771],[1772],[1777],[1781],[1778],[1773],[1784],[1774],[1771],[1765],[1596],[1608],[1669],[1683],[1687],[1690],[1733],[1754],[1754],[1669],[1764],[1804],[1792],[1817],[1784],[1780],[1713],[1727],[1725],[1803],[1822],[1665],[1813]],[[0.40000000000000002],[0.90000000000000002],[2.8999999999999999],[2],[-0.20000000000000001],[0.40000000000000002],[0.29999999999999999],[1.1000000000000001],[-0.40000000000000002],[0.90000000000000002],[0.90000000000000002],[0.69999999999999996],[1.1000000000000001],[0.10000000000000001],[0.90000000000000002],[0],[1.7],[1.7],[2],[0.59999999999999998],[1.3],[0.20000000000000001],[0.10000000000000001],[-0.20000000000000001],[0.20000000000000001],[1],[-0.69999999999999996],[0.29999999999999999],[0.69999999999999996],[0],[-0.20000000000000001],[0.20000000000000001],[0.20000000000000001],[0.5],[-0.10000000000000001],[2],[1.3],[1.3999999999999999],[2.2999999999999998],[1.5],[0.90000000000000002],[1.5],[1.3],[2.2999999999999998],[2.7000000000000002],[2.5],[3.1000000000000001],[1.8999999999999999],[2.2000000000000002],[1.3],[-0.29999999999999999],[1.7],[1.3999999999999999],[1.3],[1.6000000000000001],[0.69999999999999996],[0.69999999999999996],[0.80000000000000004],[1.3999999999999999],[2.1000000000000001],[0],[1.5],[2],[3],[3.1000000000000001],[2.2999999999999998],[2.3999999999999999],[3.1000000000000001],[3.1000000000000001],[3.6000000000000001],[2.7999999999999998],[0.40000000000000002],[3.6000000000000001],[2.7000000000000002],[4.7999999999999998],[1.1000000000000001],[2],[2.5],[2.2999999999999998],[2.1000000000000001],[2.2999999999999998],[1.3],[1.5],[3.5],[2.3999999999999999],[2.8999999999999999],[1.5],[2.1000000000000001],[1.6000000000000001],[1.7],[1.8999999999999999],[1.8999999999999999],[1.2],[1.3],[2.1000000000000001],[0.80000000000000004],[0.40000000000000002],[-0.59999999999999998],[-10.199999999999999],[-9.0999999999999996],[-5.7000000000000002],[-5],[-5],[-5.0999999999999996],[-2.5],[-1.1000000000000001],[-1.7],[-6],[-0.40000000000000002],[2.2000000000000002],[12.300000000000001],[13],[6.9000000000000004],[5.7999999999999998],[1.5],[2.2000000000000002],[-0.5],[2.7999999999999998],[3.8999999999999999],[-0.20000000000000001],[2.7999999999999998]]]

[]

[{"axis_id":"0","tick_interval":"6","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

{"1":{"value":"1","axis_id":"1","axis_title":"Millions","axis_units":"","tooltip_units":"","table_units":"","axis_min":"1500","axis_max":"1850","tick_interval":"50","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},"0":{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}}

Participation

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

increased by 0.2 pts to 66.4%.
increased by 0.2 pts for men to 70.7% and increased by 0.2 pts to 62.4% for women.
higher than March 2020 by 0.6 pts.

Participation rate, Seasonally adjusted
	People (%)	Males (%)	Females (%)
Feb-12	65.1	71.8	58.6
Mar-12	65.3	71.8	59.1
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	64.9	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	64.8	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	64.6	70.7	58.6
Mar-14	64.7	70.9	58.8
Apr-14	64.7	71.0	58.5
May-14	64.6	70.7	58.6
Jun-14	64.7	70.9	58.7
Jul-14	64.8	71.0	58.7
Aug-14	64.7	70.9	58.6
Sep-14	64.7	70.7	58.8
Oct-14	64.6	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	58.6
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	71.1	59.3
Aug-15	64.9	70.9	59.1
Sep-15	65.0	70.9	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	70.7	59.3
Jun-16	64.9	70.4	59.6
Jul-16	65.0	70.6	59.5
Aug-16	64.7	70.4	59.1
Sep-16	64.5	70.1	59.1
Oct-16	64.5	70.2	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	59.9
Jul-17	65.2	70.8	59.7
Aug-17	65.3	70.8	60.0
Sep-17	65.3	70.7	60.1
Oct-17	65.2	70.6	60.1
Nov-17	65.5	70.9	60.3
Dec-17	65.8	71.1	60.6
Jan-18	65.8	71.2	60.5
Feb-18	65.7	71.0	60.5
Mar-18	65.6	70.8	60.6
Apr-18	65.6	70.9	60.5
May-18	65.5	70.7	60.4
Jun-18	65.7	71.0	60.6
Jul-18	65.5	71.0	60.3
Aug-18	65.6	71.1	60.4
Sep-18	65.4	70.7	60.3
Oct-18	65.5	70.8	60.4
Nov-18	65.7	71.0	60.5
Dec-18	65.6	71.0	60.5
Jan-19	65.7	71.0	60.7
Feb-19	65.6	70.7	60.6
Mar-19	65.7	70.9	60.6
Apr-19	65.9	70.9	61.1
May-19	66.0	71.5	60.7
Jun-19	66.0	71.3	60.9
Jul-19	66.1	71.3	61.0
Aug-19	66.2	71.3	61.2
Sep-19	66.1	71.1	61.2
Oct-19	65.9	70.8	61.1
Nov-19	65.9	70.9	61.1
Dec-19	65.9	70.9	61.1
Jan-20	66.0	70.8	61.5
Feb-20	65.9	70.7	61.2
Mar-20	65.9	70.7	61.2
Apr-20	63.6	68.8	58.5
May-20	62.6	68.0	57.5
Jun-20	64.1	69.1	59.2
Jul-20	64.7	69.7	59.8
Aug-20	65.0	69.9	60.2
Sep-20	64.8	69.7	60.1
Oct-20	65.7	70.7	60.8
Nov-20	66.0	71.0	61.3
Dec-20	66.0	71.0	61.3
Jan-21	66.0	71.1	61.1
Feb-21	66.1	70.9	61.4
Mar-21	66.3	70.9	61.9
Apr-21	66.0	70.8	61.3
May-21	66.3	70.9	61.7
Jun-21	66.3	71.0	61.6
Jul-21	66.0	70.8	61.5
Aug-21	65.2	70.1	60.5
Sep-21	64.5	69.3	60.0
Oct-21	64.7	69.5	60.0
Nov-21	66.1	70.7	61.6
Dec-21	66.1	70.9	61.5
Jan-22	66.2	70.5	62.1
Feb-22	66.4	70.7	62.4

Participation rate, Seasonally adjusted

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

[["Feb-12","Mar-12","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"],[[65.102525600000007],[65.338729799999996],[65.050581699999995],[65.352979000000005],[65.094892799999997],[65.062475599999999],[65.019672400000005],[65.324465099999998],[65.182223500000006],[64.945213699999996],[65.038802500000003],[65.276713099999995],[65.204130599999999],[65.078847600000003],[65.142354499999996],[65.032859200000004],[65.085423899999995],[64.872501999999997],[64.942053299999998],[64.846909600000004],[64.833964100000003],[64.617680500000006],[64.449153999999993],[64.567346099999995],[64.551627100000005],[64.746106699999999],[64.668706799999995],[64.572571300000007],[64.685069200000001],[64.771703900000006],[64.653691300000006],[64.658823999999996],[64.646819300000004],[64.5409693],[64.623232200000004],[64.740386099999995],[64.887830399999999],[64.861186500000002],[64.798549499999993],[64.8611547],[64.821740500000004],[65.093176700000001],[64.932664500000001],[64.983249499999999],[65.153373299999998],[65.229210399999999],[65.118317399999995],[65.228385500000002],[64.987084800000005],[64.9385257],[64.895881700000004],[64.872734500000007],[64.905811700000001],[64.963249099999999],[64.662502799999999],[64.493226500000006],[64.527801199999999],[64.711976399999998],[64.785790399999996],[64.6700515],[64.684845199999998],[64.904794699999997],[64.945062199999995],[64.973941600000003],[65.125783900000002],[65.177000899999996],[65.301279500000007],[65.323811899999995],[65.242676900000006],[65.501530200000005],[65.757939100000002],[65.764206700000003],[65.664649100000005],[65.587497999999997],[65.623194499999997],[65.453797300000005],[65.715510600000002],[65.541503500000005],[65.639018699999994],[65.420136299999996],[65.493854400000004],[65.668838100000002],[65.618849900000001],[65.722819200000004],[65.550783100000004],[65.695431499999998],[65.909907500000003],[66.034177299999996],[66.041067400000003],[66.056947899999997],[66.153363799999994],[66.070211599999993],[65.891220700000005],[65.909203000000005],[65.869100700000004],[66.028241399999999],[65.865079100000003],[65.857088500000003],[63.5743735],[62.628868099999998],[64.061377199999995],[64.662477199999998],[64.950764199999995],[64.7929922],[65.666112499999997],[66.035758099999995],[66.038903399999995],[66.043073300000003],[66.061122900000001],[66.304489000000004],[65.971230899999995],[66.253723300000004],[66.259468600000005],[66.048968500000001],[65.207805500000006],[64.543886999999998],[64.671498099999994],[66.099578800000003],[66.119516399999995],[66.226207299999999],[66.448518100000001]],[[71.793846500000001],[71.764539600000006],[71.681086899999997],[71.766559200000003],[71.598765099999994],[71.505534400000002],[71.595934499999998],[71.808905999999993],[71.756130999999996],[71.468508799999995],[71.715701999999993],[71.921121999999997],[71.674953700000003],[71.528664899999995],[71.479268500000003],[71.561720500000007],[71.623963500000002],[71.276305300000004],[71.332528999999994],[71.191019999999995],[71.206883700000006],[71.019642200000007],[70.894383500000004],[70.834462099999996],[70.717556299999998],[70.925015999999999],[71.010580000000004],[70.693057999999994],[70.893973099999997],[71.009139000000005],[70.882427800000002],[70.732157400000006],[70.839144700000006],[71.081115699999998],[70.843091700000002],[71.082121700000002],[71.190376400000005],[71.281417099999999],[71.075183300000006],[71.040078399999999],[70.883160500000002],[71.052293700000007],[70.949342400000006],[70.940875300000002],[71.095519600000003],[70.940492199999994],[70.916653600000004],[71.2967996],[70.732648699999999],[70.770364599999994],[70.527768800000004],[70.650831699999998],[70.412452000000002],[70.615737499999994],[70.447917099999998],[70.071200700000006],[70.242105600000002],[70.336212599999996],[70.532432600000007],[70.189263400000002],[70.377037400000006],[70.471125099999995],[70.626570000000001],[70.610722800000005],[70.586371499999998],[70.810529500000001],[70.7911821],[70.7351539],[70.577709499999997],[70.927177999999998],[71.104235000000003],[71.208700300000004],[70.973692999999997],[70.802703300000005],[70.905309700000004],[70.740986100000001],[70.9914469],[70.976770099999996],[71.074275700000001],[70.729132300000003],[70.793888100000004],[71.047364400000006],[70.966256099999995],[70.976174700000001],[70.712251100000003],[70.941096999999999],[70.932551799999999],[71.5261213],[71.343514099999993],[71.323098000000002],[71.339021900000006],[71.130406199999996],[70.840947600000007],[70.928617299999999],[70.861889700000006],[70.759309000000002],[70.730776199999994],[70.705347099999997],[68.828168399999996],[67.977351499999997],[69.146539000000004],[69.690648400000001],[69.903739299999998],[69.666240599999995],[70.693435399999998],[70.983318800000006],[70.958717100000001],[71.132567199999997],[70.898964800000002],[70.920248599999994],[70.7890254],[70.947298399999994],[71.0486054],[70.823821699999996],[70.070952800000001],[69.263530500000002],[69.532281100000006],[70.7442171],[70.877217099999996],[70.490331999999995],[70.704976099999996]],[[58.602903599999998],[59.096787499999998],[58.609078199999999],[59.121503199999999],[58.774996000000002],[58.801406499999999],[58.628881700000001],[59.022643000000002],[58.793996800000002],[58.606682200000002],[58.551569200000003],[58.821861300000002],[58.918725199999997],[58.814637400000002],[58.987797],[58.691899499999998],[58.735062900000003],[58.6545822],[58.738631599999998],[58.690049600000002],[58.652131599999997],[58.410710199999997],[58.203240399999999],[58.493533200000002],[58.575400700000003],[58.756819800000002],[58.522254599999997],[58.641422200000001],[58.669014599999997],[58.729115399999998],[58.620672599999999],[58.777402899999998],[58.651253799999999],[58.209783899999998],[58.603192499999999],[58.603143199999998],[58.789284199999997],[58.649538499999998],[58.726762800000003],[58.884833100000002],[58.959961900000003],[59.331513000000001],[59.116530699999998],[59.225386999999998],[59.411951100000003],[59.712320800000001],[59.518770000000004],[59.368511099999999],[59.439377399999998],[59.307977999999999],[59.459251500000001],[59.295819999999999],[59.591746299999997],[59.509200200000002],[59.081007],[59.112614899999997],[59.016130500000003],[59.287623500000002],[59.243823800000001],[59.3471093],[59.1947598],[59.535789899999997],[59.464976100000001],[59.536994],[59.858795899999997],[59.743746700000003],[60.007213499999999],[60.106187599999998],[60.099068799999998],[60.2710157],[60.604353000000003],[60.515505599999997],[60.546089500000001],[60.558979600000001],[60.529787900000002],[60.3551492],[60.627337400000002],[60.299728199999997],[60.397284900000002],[60.300221999999998],[60.382994400000001],[60.4826871],[60.463115700000003],[60.6572946],[60.573398900000001],[60.636396400000002],[61.066140300000001],[60.738038899999999],[60.9278628],[60.979451699999998],[61.154139200000003],[61.192607899999999],[61.1209621],[61.0726668],[61.059079500000003],[61.471048699999997],[61.178897200000002],[61.188397299999998],[58.515310100000001],[57.478771700000003],[59.164975300000002],[59.821226099999997],[60.1821822],[60.101432500000001],[60.826601500000002],[61.273381299999997],[61.303605500000003],[61.144320499999999],[61.404435800000002],[61.861443600000001],[61.333676099999998],[61.735689399999998],[61.6494006],[61.452764500000001],[60.526715899999999],[60.001041999999998],[59.993486599999997],[61.630254100000002],[61.542061799999999],[62.123415100000003],[62.352889900000001]]]

[]

[{"axis_id":"0","tick_interval":"6","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"5","axis_min":"55.0","axis_max":"75.0","axis_title":"%","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"axis_id":"1","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":"","table_units":"(%)","tooltip_units":"(%)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Underemployment

In seasonally adjusted terms, in February 2022:

underemployment rate decreased by 0.1 pts to 6.6%.
underemployment rate was 2.2 pts lower than March 2020.
underutilisation rate decreased by 0.3 pts to 10.6%.

Underemployment rate, Seasonally adjusted
	People (%)	Males (%)	Females (%)
Feb-12	7.3	5.7	9.1
Mar-12	7.2	5.6	9.1
Apr-12	7.3	5.5	9.4
May-12	7.3	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	5.4	9.0
Jan-13	7.0	5.4	8.9
Feb-13	7.1	5.4	9.1
Mar-13	7.2	5.5	9.3
Apr-13	7.2	5.5	9.2
May-13	7.5	5.8	9.5
Jun-13	7.5	5.9	9.5
Jul-13	7.4	5.6	9.5
Aug-13	7.6	5.8	9.6
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	7.6	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	8.7	6.7	10.9
Dec-14	8.5	6.5	10.7
Jan-15	8.5	6.5	10.9
Feb-15	8.5	6.5	10.9
Mar-15	8.1	5.9	10.8
Apr-15	8.3	6.3	10.6
May-15	8.4	6.3	10.7
Jun-15	8.4	6.5	10.6
Jul-15	8.6	6.8	10.7
Aug-15	8.5	6.5	10.8
Sep-15	8.8	6.8	11.2
Oct-15	8.7	6.7	11.0
Nov-15	8.6	6.7	10.8
Dec-15	8.5	6.3	10.9
Jan-16	8.5	6.6	10.7
Feb-16	8.4	6.5	10.5
Mar-16	8.4	6.6	10.5
Apr-16	8.6	7.0	10.4
May-16	8.3	6.6	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	8.6	6.8	10.6
Nov-16	8.5	6.7	10.6
Dec-16	8.6	6.8	10.7
Jan-17	8.8	6.9	11.0
Feb-17	9.0	6.9	11.5
Mar-17	8.6	6.8	10.7
Apr-17	8.7	6.6	11.1
May-17	8.6	6.7	10.8
Jun-17	8.4	6.6	10.5
Jul-17	8.5	6.9	10.5
Aug-17	8.6	6.9	10.6
Sep-17	8.6	6.8	10.6
Oct-17	8.5	6.6	10.6
Nov-17	8.5	6.7	10.6
Dec-17	8.5	6.5	10.8
Jan-18	8.8	7.1	10.7
Feb-18	8.5	6.6	10.6
Mar-18	8.6	6.5	10.9
Apr-18	8.4	6.4	10.8
May-18	8.4	6.4	10.6
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	10.7
Nov-18	8.5	6.7	10.6
Dec-18	8.3	6.5	10.4
Jan-19	8.2	6.2	10.4
Feb-19	8.1	6.2	10.2
Mar-19	8.2	6.5	10.2
Apr-19	8.4	6.8	10.3
May-19	8.5	6.8	10.5
Jun-19	8.2	6.7	9.9
Jul-19	8.4	6.8	10.3
Aug-19	8.6	7.0	10.4
Sep-19	8.4	6.8	10.1
Oct-19	8.6	6.7	10.6
Nov-19	8.3	6.7	10.1
Dec-19	8.2	6.6	10.0
Jan-20	8.7	6.7	10.8
Feb-20	8.6	6.6	10.9
Mar-20	8.8	7.1	10.6
Apr-20	13.6	12.4	15.0
May-20	13.0	12.0	14.0
Jun-20	11.6	10.9	12.5
Jul-20	11.3	10.5	12.2
Aug-20	11.3	10.6	12.1
Sep-20	11.4	10.7	12.2
Oct-20	10.4	9.2	11.8
Nov-20	9.3	8.0	10.8
Dec-20	8.5	7.1	10.1
Jan-21	8.3	7.0	9.7
Feb-21	8.4	7.2	9.8
Mar-21	7.9	6.6	9.4
Apr-21	7.8	6.4	9.2
May-21	7.4	6.3	8.7
Jun-21	7.9	6.9	9.0
Jul-21	8.3	7.1	9.6
Aug-21	9.3	8.5	10.2
Sep-21	9.2	8.5	10.1
Oct-21	9.5	9.0	10.1
Nov-21	7.5	6.3	8.8
Dec-21	6.6	5.6	7.7
Jan-22	6.7	5.5	7.9
Feb-22	6.6	5.3	7.9

Underemployment rate, Seasonally adjusted

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

[["Feb-12","Mar-12","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"],[[7.2553178999999997],[7.2341207000000001],[7.2907538000000001],[7.3495910000000002],[7.1840092999999996],[7.0574599999999998],[6.9018987000000003],[6.8385423000000003],[6.9898420000000003],[7.0418251999999999],[7.0264841999999996],[6.9931634999999996],[7.0547974],[7.2270832],[7.2040692999999996],[7.4535774999999997],[7.5477337999999996],[7.3786684999999999],[7.5656229000000002],[7.4431529999999997],[7.5156725],[7.4720559],[7.5167541],[7.3432760000000004],[7.5067969999999997],[7.5330471000000001],[7.6436742999999998],[7.7558066999999999],[7.9290246],[8.2980119999999999],[8.3992701000000007],[8.8408724000000003],[8.2080707000000004],[8.6534794000000002],[8.4531708000000005],[8.5323408000000001],[8.5192274999999995],[8.1496449000000002],[8.3071061000000004],[8.3698820000000005],[8.3875136000000001],[8.6313671999999997],[8.4510603999999994],[8.8011736000000003],[8.7211183000000005],[8.5904284999999998],[8.4685305],[8.5350512999999992],[8.3719661999999992],[8.3889292999999991],[8.5957640000000008],[8.2954332999999991],[8.7792627999999997],[9.0129348999999994],[8.8165452000000002],[8.7338573000000004],[8.5529585000000008],[8.5174749999999992],[8.6199905000000001],[8.8126975000000005],[9.0444589999999998],[8.6065439999999995],[8.7226850000000002],[8.6339079000000005],[8.4233363000000008],[8.5423402999999993],[8.6123346000000005],[8.5564757999999994],[8.5244975000000007],[8.5286460000000002],[8.4843624000000002],[8.7786788999999992],[8.5151634999999999],[8.5832329000000005],[8.4233955999999992],[8.3692293000000006],[8.5737822000000001],[8.4827642000000001],[8.2088482000000003],[8.3209236999999998],[8.3101114000000003],[8.5183043999999999],[8.3226735000000005],[8.1905327000000003],[8.0615618999999992],[8.2398924000000004],[8.4373991999999998],[8.4848526],[8.1720994000000005],[8.4376695999999995],[8.5571938000000003],[8.3543280000000006],[8.5572102999999995],[8.2987318999999999],[8.2375997999999999],[8.6664165999999998],[8.5990236000000007],[8.7876154999999994],[13.6435221],[12.9541827],[11.6451391],[11.2710604],[11.3058388],[11.417533199999999],[10.4354282],[9.3498616999999999],[8.5359183999999999],[8.2740839000000008],[8.4155742],[7.9486428],[7.7679901999999998],[7.4445546],[7.9127536000000003],[8.3233096999999994],[9.3008088000000004],[9.2372470999999994],[9.5102036999999999],[7.4779583000000001],[6.6292200000000001],[6.6843326999999997],[6.5673510000000004]],[[5.6684036999999998],[5.6215460000000004],[5.4777921999999997],[5.4539482000000001],[5.3575324999999996],[5.2498047000000003],[5.1196747],[5.0968115999999997],[5.2097766999999999],[5.2834023999999999],[5.3515094999999997],[5.3513242999999999],[5.3526832000000004],[5.5024107000000004],[5.4855096000000003],[5.7509249999999996],[5.8984177999999998],[5.5822165000000004],[5.8194033000000003],[5.7203382999999999],[5.8392388000000004],[5.6932492000000003],[5.8143099999999999],[5.7006040999999996],[5.7368677999999997],[5.7191723000000003],[5.7147307999999999],[5.8983086],[5.9604923000000003],[6.3476596000000001],[6.4308519999999998],[6.9109768000000003],[6.3050470000000001],[6.7306935000000001],[6.5322994000000003],[6.4952502000000001],[6.4683498000000004],[5.9131467000000004],[6.3330196000000001],[6.3398726999999999],[6.4886676999999997],[6.8438505000000003],[6.4530263999999997],[6.761361],[6.7462017999999997],[6.6949357999999997],[6.3433080999999998],[6.6254603999999997],[6.5158192000000001],[6.5801414999999999],[7.0449770999999997],[6.6243622000000002],[7.0074918999999998],[7.0272864999999998],[7.1536492000000003],[6.9128873999999998],[6.8068966],[6.6868223000000002],[6.8155887000000002],[6.9117924999999998],[6.9103912999999997],[6.7870758000000002],[6.6425418000000001],[6.7101085999999999],[6.6137204000000001],[6.8688728000000001],[6.8605972],[6.7549614],[6.6495787999999996],[6.7055237999999999],[6.4625358000000004],[7.0811872999999999],[6.6271405000000003],[6.5471988999999997],[6.3617843000000001],[6.3631716000000003],[6.6200194000000003],[6.3980392000000004],[6.0806440000000004],[6.3248734999999998],[6.2242576999999999],[6.6534996],[6.5070858999999999],[6.2143569000000003],[6.1890451000000004],[6.4706400999999998],[6.8050366000000002],[6.7524157000000002],[6.6545876000000002],[6.7542204000000003],[6.9588653999999996],[6.8150255],[6.7289431000000004],[6.6596412999999997],[6.6260111999999998],[6.7175199000000001],[6.5539164000000003],[7.1420811000000004],[12.4397342],[12.0101402],[10.9053685],[10.465216699999999],[10.5743533],[10.7254492],[9.1738967999999996],[8.0057072999999992],[7.0997197999999999],[6.9959749999999996],[7.1831582999999997],[6.6061025999999998],[6.4372401999999997],[6.3157426000000001],[6.9363305999999998],[7.1372299000000003],[8.5301968000000006],[8.4790688000000003],[8.9585813999999999],[6.2774752999999999],[5.6200301000000001],[5.5399010000000004],[5.3144051000000001]],[[9.1437345000000008],[9.1363275999999995],[9.4448690000000006],[9.5853424999999994],[9.3460561000000002],[9.1935719000000002],[9.0169189000000003],[8.8979116999999999],[9.1009899999999995],[9.1254164000000006],[9.0197657000000007],[8.9433594999999997],[9.0660960999999993],[9.2642203999999992],[9.2266299000000007],[9.4698358000000002],[9.5010945000000007],[9.4983272999999997],[9.6241696999999995],[9.4712458999999996],[9.4899280000000008],[9.5689732999999997],[9.5262870999999993],[9.2711615999999992],[9.5778747000000006],[9.6553716000000005],[9.9121205000000003],[9.9257757000000009],[10.23386],[10.582510299999999],[10.704636000000001],[11.0899035],[10.433514199999999],[10.926412900000001],[10.7006377],[10.9235358],[10.922335],[10.7795282],[10.618307700000001],[10.7386316],[10.5951658],[10.7010738],[10.769095099999999],[11.1625596],[11.0045778],[10.765698],[10.913920900000001],[10.749508499999999],[10.5047113],[10.4728013],[10.371460300000001],[10.217184899999999],[10.7995406],[11.2864565],[10.7294857],[10.816032699999999],[10.5574595],[10.612095099999999],[10.691699699999999],[10.9809318],[11.491580000000001],[10.683858900000001],[11.1056841],[10.834641700000001],[10.481605800000001],[10.455284000000001],[10.6051606],[10.6006678],[10.6473169],[10.5969423],[10.7709724],[10.704288999999999],[10.648945400000001],[10.8784563],[10.752113400000001],[10.6366411],[10.780118399999999],[10.849268],[10.6241044],[10.578805300000001],[10.6683097],[10.630490200000001],[10.3772672],[10.4202139],[10.169541300000001],[10.236172099999999],[10.2659734],[10.452261099999999],[9.8856128000000005],[10.3361366],[10.354682199999999],[10.0790519],[10.5993926],[10.1329837],[10.039457199999999],[10.8273434],[10.8762013],[10.618662499999999],[15.006986100000001],[14.0292434],[12.4776217],[12.174954400000001],[12.123853799999999],[12.189849199999999],[11.8468222],[10.8487396],[10.1359659],[9.7052537000000001],[9.785266],[9.4301885999999993],[9.2464318999999993],[8.6932797999999991],[8.9959688999999994],[9.6391133],[10.1595379],[10.0796812],[10.125492899999999],[8.8039567000000005],[7.7474585999999999],[7.9337679000000003],[7.9344434000000001]]]

[]

[{"axis_id":"0","tick_interval":"6","axis_min":"","axis_max":"","axis_title":"","precision":-1,"axis_units":"","tooltip_units":"","table_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

[{"axis_id":"0","tick_interval":"2","axis_min":"4.0","axis_max":"16.0","axis_title":"%","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

States and Territories

February 2022, Seasonally adjusted
	New South Wales	Victoria	Queensland	South Australia	Western Australia	Tasmania	Northern Territory	Australian Capital Territory	Australia
Employed people	4,215,300	3,484,000	2,712,400	880,200	1,456,500	265,600	132,600	234,300	13,372,000
Employed people - monthly change	1.4%	0.5%	0.5%	0.5%	0.0%	2.4%	0.5%	1.4%	0.6%
Employment to population ratio	63.0%	64.3%	63.9%	60.2%	67.1%	59.1%	70.0%	68.5%	63.8%
Employment to population ratio - monthly change	0.8 pts	0.3 pts	0.2 pts	0.2 pts	-0.1 pts	1.3 pts	0.3 pts	0.9 pts	0.3 pts
Unemployment rate	3.7%	4.2%	4.3%	5.0%	4.1%	3.9%	3.5%	3.0%	4.0%
Unemployment rate - monthly change	-0.5 pts	0.1 pts	-0.1 pts	0.2 pts	0.4 pts	0.1 pts	-0.2 pts	-0.2 pts	-0.2 pts
Underemployment rate	6.4%	6.1%	7.3%	7.5%	6.8%	8.1%	6.0%	5.0%	6.6%
Underemployment rate - monthly change	0.0 pts	0.0 pts	0.1 pts	-0.5 pts	-0.4 pts	0.2 pts	0.6 pts	0.2 pts	-0.1 pts
Participation rate	65.4%	67.1%	66.7%	63.4%	70.0%	61.5%	72.5%	70.6%	66.4%
Participation rate - monthly change	0.5 pts	0.4 pts	0.2 pts	0.4 pts	0.2 pts	1.4 pts	0.1 pts	0.8 pts	0.2 pts

Rotation group analysis

Sample composition and rotation

Estimates for the incoming and outgoing rotation groups

Incoming and outgoing rotation groups
	January outgoing rotation group	February incoming rotation group	February outgoing rotation group	February estimate (Original)
Employment to population ratio	62.7%	64.2%	62.6%	64.1%
Full-time employment to population ratio	43.2%	44.7%	43.6%	44.6%
Unemployment rate	4.1%	5.0%	4.3%	4.3%
Participation rate	65.3%	67.6%	65.4%	67.0%

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 [42.93 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 [977.32 KB]
Table 4. Labour force status by Sex, New South Wales - Trend, Seasonally adjusted and Original
Download xlsx [682.55 KB]
Table 5. Labour force status by Sex, Victoria - Trend, Seasonally adjusted and Original
Download xlsx [682.55 KB]
Table 6. Labour force status by Sex, Queensland - Trend, Seasonally adjusted and Original
Download xlsx [684.73 KB]
Table 7. Labour force status by Sex, South Australia - Trend, Seasonally adjusted and Original
Download xlsx [681.03 KB]
Table 8. Labour force status by Sex, Western Australia - Trend, Seasonally adjusted and Original
Download xlsx [683.1 KB]
Table 9. Labour force status by Sex, Tasmania - Trend, Seasonally adjusted and Original
Download xlsx [687.3 KB]
Table 10. Labour force status by Sex, Northern Territory - Trend and Original
Download xlsx [633.36 KB]
Table 10a. Labour force status by Sex, Northern Territory - Seasonally adjusted
Download xlsx [159.8 KB]
Table 11. Labour force status by Sex, Australian Capital Territory - Trend and Original
Download xlsx [586.39 KB]
Table 11a. Labour force status by Sex, Australian Capital Territory - Seasonally adjusted
Download xlsx [159.64 KB]
Table 12. Labour force status by Sex, State and Territory - Trend, Seasonally adjusted and Original
Download xlsx [5.86 MB]
Table 12a. Labour force status by Sex, Territory - Seasonally adjusted
Download xlsx [272.55 KB]
Table 13. Labour force status for 15-24 year olds by Sex - Trend, Seasonally adjusted and Original
Download xlsx [965.96 KB]
Table 15. Labour force status for 15-24 year olds by Educational attendance (full-time) and Sex
Download xlsx [756.24 KB]
Table 16. Labour force status for 15-24 year olds by State, Territory and Educational attendance (full-time)
Download xlsx [2.31 MB]
Table 17. Labour force status for 15-19 year olds by Sex - Trend, Seasonally adjusted and Original
Download xlsx [792.22 KB]
Table 18. Labour force status for 15-64 year olds by Sex - Trend, Seasonally adjusted and Original
Download xlsx [972.68 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 [368.74 KB]
Table 19a. Monthly hours worked in all jobs by Employed full-time, part-time and Sex and Territory - Seasonally adjusted
Download xlsx [59.88 KB]
Table 21. Quarterly hours worked in all jobs by Market and Non-market sector - Seasonally adjusted
Download xlsx [56.73 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 [20.29 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 [9.4 MB]

Underemployment and underutilisation

Data files

Table 22. Underutilised persons by Age and Sex - Trend, Seasonally adjusted and Original
Download xlsx [6.58 MB]
Table 23. Underutilised persons by State and Territory and Sex - Trend, Seasonally adjusted and Original
Download xlsx [8.28 MB]
Table 23a. Underutilised persons by Territory and Sex - Seasonally adjusted
Download xlsx [393.14 KB]
Table 24. Underutilised persons by Age and Sex (expanded analytical series)
Download xlsx [410.02 KB]
Table 25. Underutilised persons by State, Territory and Sex (expanded analytical series)
Download xlsx [340 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 [96.7 MB]

All time series spreadsheets

Data files

Download zip [28.89 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

Articles and other information

Quarterly rebenchmarking of labour force statistics

Seasonal adjustment and trend estimates

Survey response and timeline - Floods in February

Unemployment

Employment

Flows into and out of employment

Flows in labour force status, January to February

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 job attachment during the pandemic, February 2022

Insights into hours worked, February 2022

Media releases

Unemployment rate falls to 4.0%

Do you need more detailed statistics?

Request data