Labour Force, Australia, May 2020

		Apr-20	May-20	Monthly change	Yearly change
Seasonally adjusted
	Employed people	12,381,800	12,154,100	-227,700 (-1.8%)	-695,600 (-5.4%)
	Unemployed people	841,900	927,600	85,700 (10.2%)	219,200 (30.9%)
	Unemployment rate	6.4%	7.1%	0.7 pts	1.9 pts
	Underemployment rate	13.8%	13.1%	-0.7 pts	4.5 pts
	Participation rate	63.6%	62.9%	-0.7 pts	-3.2 pts
	Monthly hours worked in all jobs	1,617 million	1,605 million	-12 million (-0.7%)	-158 million (-9.0%)

Estimates of changes 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

Survey reference and collection week timeline

Survey response

Continued suspension of trend estimates

Quarterly population rebenchmarking

Treatment of people on JobKeeper, JobSeeker or stood down

People paid through the JobKeeper wage subsidy, in receipt of JobSeeker payments, or stood down by their employer are classified as follows in the Labour Force Survey. This approach:

is consistent with the long-standing concepts and practices used in the Labour Force Survey; and
has not resulted in any changes to the Labour Force Survey questionnaire.

The ABS will update this information if new scenarios emerge or the conditions of existing scenarios change over the course of the COVID-19 pandemic.

1. People paid through the JobKeeper wage subsidy: employed

The ABS expects that people who are paid through the JobKeeper scheme will answer the questions in a way that results in them being classified as employed, regardless of the hours they work (e.g. even if they are stood down). People paid through JobKeeper may work less hours, the same hours, or more hours, than usual.

Under the JobKeeper program, eligible businesses and not-for-profit organisations affected by COVID-19 can elect to receive a subsidy to support their employment of eligible employees. Some self-employed people are also eligible to receive the JobKeeper payment.

Employers will pay these employees a wage, within their existing employment relationship, supporting an ongoing attachment to a job.

2. People in receipt of the JobSeeker payment: it depends on their labour market activity

People who receive the JobSeeker or other similar government payments are not automatically classified as unemployed (just as those classified as unemployed will not necessarily be in receipt of a government payment) and how they are categorised depends on how they answer questions around labour market activity.

The JobSeeker payment is paid to people who are looking for work or are sick or injured and cannot undertake their usual work or study for a short time, and who meet the eligibility requirements. People can also receive the JobSeeker payment if they have a job, if they meet a low income test.

Recent changes to the JobSeeker program related to COVID-19 also meant that recipients did not have to meet the usual mutual obligation requirements, such as looking for work. Some of these obligations are gradually being reinstated from June onwards, and changes may lead to increases in active job search and an increase in the number of people classified as unemployed in future months.

To be classified as unemployed in Labour Force statistics, a person must:

have actively looked for full-time or part-time work in the last four weeks; and
be available for work in the reference week.

People who were waiting to start a new job within four weeks from the end of the reference week and could have started in the reference week if the job had been available then are also classified as unemployed.

3. People not working any hours, including those who were stood down: it depends on their job attachment and pay, and potentially other labour market activity

A person will be classified as employed if they:

had taken any kind of paid leave;
were away from their job for any reason (e.g. they were stood down), and were paid for some part of the previous 4 weeks (which could include wages subsidised through the JobKeeper scheme); or
were away from their job for four weeks or less for any reason, without pay, but believe they still have a job to go back to (e.g. they were stood down, with no pay).

If a person is away from their job for four weeks or more without pay, or they believe they no longer have a job to be absent from, they will be classified as:

unemployed - if they have actively looked for work, and are available to start work; or
not in the labour force - if they have not looked for work and/or are not available to start work.

There will be a range of ways in which people will have been stood down without work as a result of COVID-19. Some may be stood down with pay, some through paid leave (e.g. long service leave, annual leave, etc) and some without pay. Some people will perceive that they still have a job (but just no hours at the moment), while others will consider they have lost their job.

These differences are effectively captured using Labour Force Survey questions, which support the ABS to effectively categorise people and produce key measures of the labour market.

People stood down without pay from late March through to early May were away from their job for four weeks or more and therefore were no longer considered employed in May. This explains part of the further fall in employment in May.

For further information, please email labour.statistics@abs.gov.au.

Articles

This months Labour Force release includes the following articles:

Unemployment

In seasonally adjusted terms, in May 2020:

the unemployment rate increased by 0.7 pts to 7.1% (1.9 pts higher than a year ago)
unemployed people increased by 85,700 to 927,600 (and increased by 219,200 over the year to May 2020)
the youth unemployment rate increased by 2.0 pts to 16.1% (and increased by 4.1 pts over the year to May 2020)

Unemployment rate, Seasonally adjusted
	Persons (%)
May-10	5.2
Jun-10	5.1
Jul-10	5.3
Aug-10	5.0
Sep-10	5.1
Oct-10	5.3
Nov-10	5.1
Dec-10	4.9
Jan-11	5.0
Feb-11	5.0
Mar-11	4.9
Apr-11	5.0
May-11	5.0
Jun-11	4.9
Jul-11	5.1
Aug-11	5.3
Sep-11	5.2
Oct-11	5.2
Nov-11	5.2
Dec-11	5.2
Jan-12	5.0
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	5.1
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	6.1
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	5.6
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	5.8
Mar-17	5.8
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	5.0
Feb-19	5.0
Mar-19	5.1
Apr-19	5.2
May-19	5.2
Jun-19	5.3
Jul-19	5.2
Aug-19	5.2
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	6.4
May-20	7.1

Unemployment rate, Seasonally adjusted

["","Persons"]

[["May-10","Jun-10","Jul-10","Aug-10","Sep-10","Oct-10","Nov-10","Dec-10","Jan-11","Feb-11","Mar-11","Apr-11","May-11","Jun-11","Jul-11","Aug-11","Sep-11","Oct-11","Nov-11","Dec-11","Jan-12","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"],[[5.2308326],[5.1451194],[5.2864434],[5.0212349],[5.0533084],[5.2860568],[5.1079925],[4.8769908],[5.003064],[4.9867691],[4.9254752],[4.9583475],[5.0150773],[4.9170604],[5.0895407],[5.2557411],[5.2213598],[5.1900845],[5.2288217],[5.1968091],[5.0459632],[5.2144172],[5.1801222],[4.991806],[5.2028942],[5.1633835],[5.1770056],[5.1431138],[5.4884914],[5.4150233],[5.2540028],[5.4333828],[5.3859834],[5.4271453],[5.6340511],[5.5833692],[5.6129588],[5.6958838],[5.6276735],[5.8209249],[5.7052635],[5.8300878],[5.7944871],[5.9019894],[5.9342638],[5.8940447],[5.8669202],[5.798404],[5.9325264],[6.0477935],[6.1727062],[6.0831305],[6.2264364],[6.3687753],[6.2958108],[6.1072511],[6.3368658],[6.1215019],[6.0910306],[6.1058671],[5.9358014],[6.0072571],[6.2719281],[6.0800553],[6.1630409],[5.9237058],[5.8508739],[5.7458546],[6.0209061],[5.6743794],[5.6422037],[5.6389469],[5.7261827],[5.6941706],[5.6913294],[5.6008486],[5.6459141],[5.5870184],[5.7571261],[5.8337492],[5.6797803],[5.8392183],[5.8415893],[5.6112113],[5.5534641],[5.5982963],[5.5851217],[5.5061145],[5.4478132],[5.36837],[5.4138301],[5.6096478],[5.5010854],[5.5593385],[5.5051044],[5.5342674],[5.4064416],[5.31858],[5.2757966],[5.2570776],[5.0154495],[5.0026293],[5.0985575],[5.0094541],[5.0412033],[4.9564499],[5.0795821],[5.2164788],[5.2248196],[5.2505052],[5.2488451],[5.2484672],[5.2019374],[5.2997815],[5.1468598],[5.0541101],[5.2732612],[5.0864725],[5.2251472],[6.3668047],[7.0907794]]]

[]

[{"axis_id":"0","tick_interval":"12","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":"0.5","axis_min":"4.4","axis_max":"7.4","axis_title":"%","precision":"1","table_units":"(%)","tooltip_units":"(%)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Employment

In seasonally adjusted terms, in May 2020:

employment decreased by 227,700 people (1.8%) to 12,154,100 people
over the year to May 2020, employment decreased by 5.4% or 695,600 people

Underpinning these net changes in the number of employed people are extensive flows of people into and out of employment. Around 700,000 people who were employed in April were not employed in May, while around 500,000 people who were not employed in April were employed in May. See the article People who lost a job or were stood down: Flows analysis.

Employed persons, Seasonally adjusted
	Employed ('000)
May-10	10,938.5
Jun-10	10,992.7
Jul-10	11,019.0
Aug-10	11,060.1
Sep-10	11,088.1
Oct-10	11,104.3
Nov-10	11,162.7
Dec-10	11,168.3
Jan-11	11,199.8
Feb-11	11,175.8
Mar-11	11,215.1
Apr-11	11,182.6
May-11	11,172.1
Jun-11	11,205.8
Jul-11	11,209.7
Aug-11	11,216.7
Sep-11	11,247.3
Oct-11	11,249.1
Nov-11	11,252.3
Dec-11	11,230.7
Jan-12	11,305.5
Feb-12	11,271.8
Mar-12	11,333.3
Apr-12	11,322.3
May-12	11,363.7
Jun-12	11,339.0
Jul-12	11,348.9
Aug-12	11,356.8
Sep-12	11,391.7
Oct-12	11,390.9
Nov-12	11,384.7
Dec-12	11,395.5
Jan-13	11,464.3
Feb-13	11,469.1
Mar-13	11,434.9
Apr-13	11,468.1
May-13	11,457.8
Jun-13	11,470.9
Jul-13	11,457.7
Aug-13	11,453.8
Sep-13	11,476.4
Oct-13	11,470.4
Nov-13	11,448.4
Dec-13	11,417.8
Jan-14	11,455.0
Feb-14	11,481.9
Mar-14	11,531.9
Apr-14	11,538.7
May-14	11,514.0
Jun-14	11,529.8
Jul-14	11,545.4
Aug-14	11,545.1
Sep-14	11,546.4
Oct-14	11,542.2
Nov-14	11,543.8
Dec-14	11,597.3
Jan-15	11,607.9
Feb-15	11,673.2
Mar-15	11,693.7
Apr-15	11,693.3
May-15	11,734.9
Jun-15	11,728.1
Jul-15	11,760.6
Aug-15	11,772.1
Sep-15	11,783.1
Oct-15	11,860.6
Nov-15	11,895.5
Dec-15	11,905.9
Jan-16	11,910.2
Feb-16	11,927.2
Mar-16	11,942.5
Apr-16	11,948.5
May-16	11,944.2
Jun-16	11,963.5
Jul-16	11,996.4
Aug-16	11,971.8
Sep-16	11,952.9
Oct-16	11,986.0
Nov-16	12,011.4
Dec-16	12,036.6
Jan-17	12,055.0
Feb-17	12,058.5
Mar-17	12,119.3
Apr-17	12,169.2
May-17	12,195.0
Jun-17	12,225.5
Jul-17	12,259.4
Aug-17	12,312.6
Sep-17	12,342.7
Oct-17	12,355.8
Nov-17	12,407.8
Dec-17	12,451.9
Jan-18	12,485.1
Feb-18	12,481.3
Mar-18	12,492.9
Apr-18	12,506.1
May-18	12,506.2
Jun-18	12,575.3
Jul-18	12,571.6
Aug-18	12,616.7
Sep-18	12,627.4
Oct-18	12,666.3
Nov-18	12,695.4
Dec-18	12,723.2
Jan-19	12,751.0
Feb-19	12,754.8
Mar-19	12,784.1
Apr-19	12,810.7
May-19	12,849.7
Jun-19	12,850.8
Jul-19	12,875.3
Aug-19	12,917.4
Sep-19	12,925.5
Oct-19	12,900.6
Nov-19	12,930.1
Dec-19	12,961.5
Jan-20	12,973.0
Feb-20	12,992.3
Mar-20	12,989.2
Apr-20	12,381.8
May-20	12,154.1

Employed persons, Seasonally adjusted

["","Employed"]

[["May-10","Jun-10","Jul-10","Aug-10","Sep-10","Oct-10","Nov-10","Dec-10","Jan-11","Feb-11","Mar-11","Apr-11","May-11","Jun-11","Jul-11","Aug-11","Sep-11","Oct-11","Nov-11","Dec-11","Jan-12","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"],[[10938.48919],[10992.6724],[11019.04434],[11060.06112],[11088.14535],[11104.29329],[11162.72549],[11168.34477],[11199.84588],[11175.82206],[11215.10541],[11182.64986],[11172.10818],[11205.76993],[11209.74444],[11216.74639],[11247.25931],[11249.06824],[11252.30164],[11230.70957],[11305.46052],[11271.81654],[11333.31769],[11322.34496],[11363.7334],[11339.04107],[11348.85688],[11356.82645],[11391.67342],[11390.91268],[11384.72965],[11395.45916],[11464.34118],[11469.12072],[11434.9207],[11468.07167],[11457.83892],[11470.92554],[11457.65218],[11453.75692],[11476.38805],[11470.37209],[11448.35428],[11417.82554],[11454.96506],[11481.94382],[11531.90808],[11538.74954],[11513.98515],[11529.79382],[11545.37025],[11545.05583],[11546.38608],[11542.19106],[11543.78665],[11597.31616],[11607.88895],[11673.24994],[11693.68305],[11693.25727],[11734.8994],[11728.14481],[11760.60864],[11772.07039],[11783.12962],[11860.56385],[11895.49124],[11905.91157],[11910.15321],[11927.18305],[11942.54292],[11948.52166],[11944.19103],[11963.4766],[11996.3725],[11971.81481],[11952.93487],[11985.99476],[12011.35123],[12036.55179],[12054.98976],[12058.51937],[12119.30359],[12169.17672],[12194.95149],[12225.54699],[12259.37288],[12312.58644],[12342.73243],[12355.84555],[12407.82135],[12451.86236],[12485.07136],[12481.30755],[12492.87409],[12506.13365],[12506.24594],[12575.26594],[12571.59313],[12616.67799],[12627.39982],[12666.32674],[12695.44544],[12723.19225],[12750.99505],[12754.81844],[12784.12393],[12810.66284],[12849.69287],[12850.77011],[12875.25186],[12917.39589],[12925.53187],[12900.59593],[12930.12687],[12961.46458],[12973.04265],[12992.34437],[12989.20767],[12381.80413],[12154.09041]]]

[]

[{"axis_id":"0","tick_interval":"12","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":"200","axis_min":"10800","axis_max":"13200","axis_title":"'000","precision":"1","table_units":"('000)","tooltip_units":"('000)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Full-time and part-time employment

In seasonally adjusted terms, in May 2020:

full-time employment decreased by 89,100 people to 8,540,000 people, and part-time employment decreased 138,600 to 3,614,100 people
over the year to May 2020, full-time employment decreased by 237,900 people and part-time employment decreased by 457,700 people

This change led to a decrease in the part-time share of employment over the past 12 months, from 30.3 to 29.7%.

Employment-to-population ratio

In seasonally adjusted terms, in May 2020:

the employment-to-population ratio decreased by 1.1 pts to 58.4%, and decreased by 4.2 pts from the same time last year

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

Employment-to-population ratio, Seasonally adjusted
	Persons (%)	Males (%)	Females (%)
May-10	61.6	68.2	55.2
Jun-10	61.9	68.5	55.4
Jul-10	61.9	68.5	55.5
Aug-10	62.1	68.8	55.5
Sep-10	62.2	68.9	55.6
Oct-10	62.2	68.9	55.6
Nov-10	62.4	69.2	55.8
Dec-10	62.4	69.2	55.8
Jan-11	62.5	69.4	55.8
Feb-11	62.2	69.0	55.6
Mar-11	62.4	69.0	55.9
Apr-11	62.1	68.6	55.8
May-11	62.0	68.5	55.6
Jun-11	62.1	68.5	55.9
Jul-11	62.0	68.4	55.8
Aug-11	62.0	68.4	55.8
Sep-11	62.1	68.4	55.9
Oct-11	62.0	68.3	55.9
Nov-11	61.9	68.4	55.7
Dec-11	61.7	68.3	55.3
Jan-12	62.0	68.6	55.6
Feb-12	61.7	68.2	55.5
Mar-12	62.0	68.1	56.0
Apr-12	61.8	68.2	55.6
May-12	61.9	68.2	55.9
Jun-12	61.7	68.1	55.6
Jul-12	61.7	67.8	55.7
Aug-12	61.6	67.8	55.6
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	67.9	55.3
Jan-13	61.8	68.0	55.7
Feb-13	61.7	67.8	55.8
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	61.1	67.1	55.4
Oct-13	61.1	67.0	55.3
Nov-13	60.9	66.8	55.1
Dec-13	60.7	66.6	54.9
Jan-14	60.7	66.7	55.0
Feb-14	60.8	66.7	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	66.4	55.0
Oct-14	60.5	66.4	54.8
Nov-14	60.5	66.6	54.6
Dec-14	60.7	66.6	55.0
Jan-15	60.7	66.5	54.9
Feb-15	60.9	66.8	55.2
Mar-15	60.9	67.0	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	66.7	55.5
Aug-15	61.0	66.6	55.6
Sep-15	61.0	66.5	55.6
Oct-15	61.3	66.9	55.9
Nov-15	61.4	66.9	56.1
Dec-15	61.4	67.0	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	56.0
May-16	61.1	66.6	55.9
Jun-16	61.2	66.5	56.0
Jul-16	61.3	66.7	56.0
Aug-16	61.0	66.5	55.8
Sep-16	60.8	66.1	55.7
Oct-16	60.9	66.4	55.7
Nov-16	61.0	66.3	55.8
Dec-16	61.0	66.5	55.8
Jan-17	61.0	66.3	55.9
Feb-17	60.9	66.3	55.7
Mar-17	61.1	66.5	55.9
Apr-17	61.3	66.9	55.9
May-17	61.4	66.7	56.2
Jun-17	61.4	66.6	56.5
Jul-17	61.5	66.8	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	62.2	67.4	57.2
Feb-18	62.0	67.1	57.2
Mar-18	62.0	67.0	57.2
Apr-18	62.0	67.0	57.1
May-18	61.9	66.9	57.1
Jun-18	62.2	67.0	57.5
Jul-18	62.1	67.1	57.2
Aug-18	62.2	67.3	57.2
Sep-18	62.1	67.3	57.1
Oct-18	62.3	67.3	57.4
Nov-18	62.3	67.4	57.4
Dec-18	62.4	67.5	57.4
Jan-19	62.4	67.5	57.5
Feb-19	62.3	67.2	57.6
Mar-19	62.4	67.4	57.5
Apr-19	62.4	67.2	57.8
May-19	62.6	67.7	57.7
Jun-19	62.5	67.5	57.7
Jul-19	62.6	67.5	57.8
Aug-19	62.7	67.5	58.0
Sep-19	62.6	67.3	58.1
Oct-19	62.5	67.1	58.0
Nov-19	62.5	67.2	58.0
Dec-19	62.6	67.3	58.2
Jan-20	62.6	67.0	58.3
Feb-20	62.6	67.1	58.3
Mar-20	62.5	67.1	58.1
Apr-20	59.5	64.3	54.9
May-20	58.4	63.2	53.8

Employment-to-population ratio, Seasonally adjusted

["","Persons","Males","Females"]

[["May-10","Jun-10","Jul-10","Aug-10","Sep-10","Oct-10","Nov-10","Dec-10","Jan-11","Feb-11","Mar-11","Apr-11","May-11","Jun-11","Jul-11","Aug-11","Sep-11","Oct-11","Nov-11","Dec-11","Jan-12","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"],[[61.614284],[61.851191],[61.926178],[62.083203],[62.167338],[62.184644],[62.438429],[62.396554],[62.477224],[62.24838],[62.372311],[62.11696],[61.983796],[62.095909],[62.043289],[62.004546],[62.095696],[62.011783],[61.935957],[61.723925],[62.024476],[61.730345],[61.957387],[61.81015],[61.948765],[61.727275],[61.689882],[61.642582],[61.741088],[61.652252],[61.534349],[61.508059],[61.777225],[61.700638],[61.414959],[61.512832],[61.378043],[61.368367],[61.214393],[61.110877],[61.148974],[61.054996],[60.876112],[60.652386],[60.746867],[60.787247],[60.948968],[60.925665],[60.735692],[60.759897],[60.766958],[60.690476],[60.622808],[60.533807],[60.475329],[60.68876],[60.650323],[60.89784],[60.91056],[60.84709],[61.002435],[60.906137],[61.00033],[60.985511],[60.96863],[61.300565],[61.412309],[61.397424],[61.316071],[61.300736],[61.276865],[61.238051],[61.146547],[61.176014],[61.251008],[61.032874],[60.844302],[60.935074],[60.986508],[61.037015],[61.016389],[60.920526],[61.113733],[61.29355],[61.351705],[61.433956],[61.515605],[61.69555],[61.759562],[61.761848],[61.958196],[62.114554],[62.1667],[62.034884],[61.979612],[61.971595],[61.898528],[62.166279],[62.050965],[62.176288],[62.132145],[62.25175],[62.322932],[62.38722],[62.415544],[62.326591],[62.362253],[62.436399],[62.571239],[62.521195],[62.558704],[62.681831],[62.639819],[62.459084],[62.542145],[62.63378],[62.591734],[62.587026],[62.47441],[59.522476],[58.397897]],[[68.194118],[68.493026],[68.522955],[68.829758],[68.945075],[68.924149],[69.231732],[69.217199],[69.386184],[69.04736],[69.039157],[68.643985],[68.543539],[68.514115],[68.426609],[68.380581],[68.439642],[68.328074],[68.363972],[68.310325],[68.636498],[68.160124],[68.138973],[68.188251],[68.1883],[68.077375],[67.833515],[67.827347],[67.738359],[67.94111],[67.702145],[67.853635],[68.04248],[67.820332],[67.44556],[67.515308],[67.527692],[67.483309],[67.211762],[67.105482],[67.121791],[66.966906],[66.832339],[66.61908],[66.683431],[66.654897],[66.919813],[66.913637],[66.559702],[66.561006],[66.604901],[66.56695],[66.430114],[66.412426],[66.581387],[66.612382],[66.545901],[66.812025],[66.956191],[66.735879],[66.774495],[66.575207],[66.732131],[66.561218],[66.543117],[66.886719],[66.871064],[66.959329],[66.988526],[66.792012],[66.794708],[66.622],[66.590693],[66.526208],[66.662945],[66.47717],[66.136797],[66.367415],[66.345624],[66.468025],[66.304194],[66.332969],[66.479875],[66.873614],[66.666334],[66.592862],[66.805966],[66.863125],[66.895001],[66.912894],[67.121765],[67.118716],[67.364017],[67.078724],[66.957402],[66.982172],[66.86511],[66.994115],[67.104035],[67.335348],[67.301725],[67.322054],[67.383318],[67.522751],[67.492009],[67.22666],[67.376249],[67.248429],[67.665648],[67.501074],[67.488878],[67.494237],[67.305344],[67.052069],[67.208509],[67.268629],[67.017184],[67.075106],[67.052383],[64.280896],[63.170074]],[[55.216173],[55.392741],[55.512119],[55.524014],[55.578414],[55.63354],[55.835684],[55.767886],[55.763344],[55.641995],[55.894905],[55.77478],[55.609189],[55.858229],[55.841773],[55.811905],[55.936026],[55.878251],[55.693239],[55.326657],[55.602093],[55.484772],[55.95268],[55.613856],[55.886393],[55.5568],[55.719782],[55.632247],[55.912715],[55.541025],[55.541249],[55.342739],[55.690709],[55.756301],[55.557902],[55.683089],[55.405383],[55.429413],[55.39111],[55.291739],[55.352449],[55.320349],[55.1013],[54.870208],[54.993411],[55.100123],[55.161361],[55.122209],[55.091848],[55.138972],[55.111383],[54.998652],[54.999008],[54.84198],[54.564363],[54.955441],[54.944851],[55.175084],[55.061342],[55.15049],[55.419637],[55.423786],[55.45845],[55.59565],[55.581059],[55.903109],[56.139352],[56.026202],[55.838549],[55.99856],[55.949474],[56.040763],[55.891956],[56.012923],[56.029066],[55.780472],[55.739068],[55.695367],[55.817853],[55.799439],[55.916626],[55.700257],[55.93782],[55.911312],[56.225489],[56.457953],[56.413318],[56.712313],[56.807964],[56.795625],[56.980334],[57.29077],[57.156286],[57.172012],[57.180011],[57.140025],[57.109054],[57.510259],[57.177657],[57.200659],[57.146299],[57.361988],[57.443063],[57.435226],[57.519972],[57.600631],[57.525897],[57.794657],[57.656905],[57.717139],[57.802773],[58.03966],[58.139495],[58.029271],[58.042091],[58.164666],[58.324142],[58.258625],[58.058921],[54.932736],[53.794684]]]

[]

[{"axis_id":"0","tick_interval":"12","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 May 2020, monthly hours worked in all jobs:

decreased by 12 million hours (-0.7%) to 1,605 million hours
decreased by 9.0% over the year, which is higher than the 5.4% decrease in employed people

See the article Insights into Hours worked for more.

Monthly hours worked in all jobs, Seasonally adjusted
	Hours worked (m)	Yearly change (%)
May-10	1,553.3	3.36
Jun-10	1,554.3	3.10
Jul-10	1,548.4	3.11
Aug-10	1,562.5	3.93
Sep-10	1,561.7	2.98
Oct-10	1,567.6	3.91
Nov-10	1,570.7	2.75
Dec-10	1,568.7	2.49
Jan-11	1,581.0	3.19
Feb-11	1,579.2	2.76
Mar-11	1,580.2	3.53
Apr-11	1,558.9	1.27
May-11	1,571.8	1.19
Jun-11	1,581.8	1.77
Jul-11	1,582.7	2.21
Aug-11	1,583.7	1.35
Sep-11	1,580.9	1.23
Oct-11	1,592.0	1.56
Nov-11	1,585.2	0.92
Dec-11	1,586.3	1.12
Jan-12	1,588.6	0.48
Feb-12	1,585.6	0.41
Mar-12	1,595.8	0.99
Apr-12	1,605.4	2.98
May-12	1,602.6	1.96
Jun-12	1,576.9	-0.31
Jul-12	1,588.2	0.35
Aug-12	1,587.0	0.21
Sep-12	1,597.7	1.07
Oct-12	1,584.3	-0.49
Nov-12	1,599.3	0.89
Dec-12	1,601.8	0.98
Jan-13	1,600.3	0.74
Feb-13	1,602.4	1.06
Mar-13	1,597.1	0.08
Apr-13	1,620.1	0.92
May-13	1,603.6	0.06
Jun-13	1,604.4	1.74
Jul-13	1,615.7	1.73
Aug-13	1,619.8	2.06
Sep-13	1,608.2	0.66
Oct-13	1,609.1	1.57
Nov-13	1,604.3	0.31
Dec-13	1,605.1	0.20
Jan-14	1,598.7	-0.10
Feb-14	1,606.4	0.25
Mar-14	1,614.4	1.08
Apr-14	1,595.3	-1.53
May-14	1,609.3	0.35
Jun-14	1,616.9	0.78
Jul-14	1,615.3	-0.03
Aug-14	1,615.0	-0.30
Sep-14	1,610.6	0.15
Oct-14	1,612.1	0.19
Nov-14	1,611.5	0.45
Dec-14	1,598.9	-0.39
Jan-15	1,627.8	1.82
Feb-15	1,625.4	1.18
Mar-15	1,634.9	1.27
Apr-15	1,649.8	3.41
May-15	1,632.5	1.45
Jun-15	1,631.4	0.89
Jul-15	1,638.5	1.44
Aug-15	1,636.3	1.32
Sep-15	1,648.0	2.32
Oct-15	1,652.7	2.52
Nov-15	1,653.2	2.59
Dec-15	1,650.1	3.20
Jan-16	1,659.6	1.95
Feb-16	1,661.5	2.22
Mar-16	1,653.5	1.14
Apr-16	1,646.3	-0.21
May-16	1,659.6	1.66
Jun-16	1,655.0	1.45
Jul-16	1,659.3	1.27
Aug-16	1,661.7	1.55
Sep-16	1,658.0	0.61
Oct-16	1,663.6	0.66
Nov-16	1,665.1	0.72
Dec-16	1,671.8	1.32
Jan-17	1,691.7	1.93
Feb-17	1,659.5	-0.12
Mar-17	1,675.7	1.34
Apr-17	1,687.7	2.51
May-17	1,706.7	2.84
Jun-17	1,703.1	2.90
Jul-17	1,696.4	2.23
Aug-17	1,702.3	2.45
Sep-17	1,710.6	3.17
Oct-17	1,714.2	3.04
Nov-17	1,727.0	3.72
Dec-17	1,720.1	2.89
Jan-18	1,698.3	0.39
Feb-18	1,721.1	3.71
Mar-18	1,724.0	2.88
Apr-18	1,759.1	4.24
May-18	1,726.5	1.16
Jun-18	1,737.7	2.03
Jul-18	1,740.4	2.60
Aug-18	1,742.2	2.34
Sep-18	1,748.0	2.19
Oct-18	1,754.4	2.34
Nov-18	1,752.3	1.46
Dec-18	1,750.4	1.76
Jan-19	1,762.4	3.78
Feb-19	1,763.9	2.49
Mar-19	1,776.2	3.02
Apr-19	1,767.1	0.45
May-19	1,763.5	2.14
Jun-19	1,764.5	1.54
Jul-19	1,773.5	1.90
Aug-19	1,777.8	2.04
Sep-19	1,782.2	1.96
Oct-19	1,777.5	1.32
Nov-19	1,779.8	1.57
Dec-19	1,786.9	2.08
Jan-20	1,775.5	0.74
Feb-20	1,771.0	0.40
Mar-20	1,786.5	0.58
Apr-20	1,616.8	-8.51
May-20	1,604.7	-9.01

Monthly hours worked in all jobs, Seasonally adjusted

["","Hours worked","Yearly change"]

[["May-10","Jun-10","Jul-10","Aug-10","Sep-10","Oct-10","Nov-10","Dec-10","Jan-11","Feb-11","Mar-11","Apr-11","May-11","Jun-11","Jul-11","Aug-11","Sep-11","Oct-11","Nov-11","Dec-11","Jan-12","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"],[[1553.30074],[1554.31787],[1548.39889],[1562.54051],[1561.67825],[1567.57343],[1570.67522],[1568.67231],[1581.00308],[1579.21969],[1580.24111],[1558.90048],[1571.7877],[1581.76193],[1582.67205],[1583.71114],[1580.85763],[1591.98635],[1585.16494],[1586.29586],[1588.56713],[1585.62282],[1595.82708],[1605.43356],[1602.64281],[1576.89378],[1588.2243],[1587.03771],[1597.70138],[1584.25999],[1599.32697],[1601.8427],[1600.31016],[1602.40548],[1597.12782],[1620.14527],[1603.63586],[1604.35551],[1615.70789],[1619.75725],[1608.17483],[1609.08478],[1604.27577],[1605.09217],[1598.68196],[1606.42049],[1614.42041],[1595.31739],[1609.27126],[1616.89343],[1615.25335],[1614.95754],[1610.63795],[1612.12855],[1611.50188],[1598.85801],[1627.79668],[1625.42265],[1634.88762],[1649.75362],[1632.52805],[1631.35161],[1638.53868],[1636.25683],[1647.98296],[1652.73691],[1653.16101],[1650.0579],[1659.59244],[1661.52213],[1653.51727],[1646.27537],[1659.61933],[1654.99494],[1659.34962],[1661.66691],[1658.0352],[1663.60831],[1665.11504],[1671.81403],[1691.67107],[1659.50326],[1675.69279],[1687.66129],[1706.68962],[1703.06624],[1696.37934],[1702.30811],[1710.57133],[1714.23981],[1727.0421],[1720.05788],[1698.26712],[1721.08319],[1724.01618],[1759.14816],[1726.50256],[1737.69282],[1740.42171],[1742.20104],[1747.96996],[1754.41715],[1752.34298],[1750.39575],[1762.39291],[1763.94225],[1776.15008],[1767.11531],[1763.50697],[1764.4548],[1773.53316],[1777.76901],[1782.18436],[1777.53404],[1779.78468],[1786.87342],[1775.50746],[1771.04288],[1786.45579],[1616.78174],[1604.66345]],[[3.359073306],[3.098305719],[3.107490522],[3.925823547],[2.984560834],[3.911334921],[2.750947115],[2.491700372],[3.189083849],[2.761495405],[3.533303723],[1.268426084],[1.190172613],[1.765665861],[2.213458058],[1.354885193],[1.228126216],[1.557370107],[0.92251535],[1.123469184],[0.478433603],[0.405461637],[0.986303286],[2.984993628],[1.96305837],[-0.307767554],[0.35081494],[0.210049037],[1.065481779],[-0.485328282],[0.893410499],[0.980071902],[0.739221515],[1.058426997],[0.081508831],[0.916369906],[0.061963277],[1.741507916],[1.730460238],[2.061673758],[0.655532387],[1.566964397],[0.30943016],[0.202858246],[-0.101742777],[0.250561425],[1.082730498],[-1.532447766],[0.351413943],[0.781492626],[-0.028132561],[-0.296322798],[0.153162452],[0.189161568],[0.45042817],[-0.388398879],[1.821170235],[1.182888298],[1.267774483],[3.412250775],[1.445175253],[0.894194987],[1.441589952],[1.318876161],[2.318647093],[2.518928159],[2.585112094],[3.202278731],[1.953300458],[2.220928815],[1.139506457],[-0.210834512],[1.659467964],[1.449309263],[1.27009147],[1.552939583],[0.609972326],[0.657781643],[0.723101375],[1.318507066],[1.932922158],[-0.121507259],[1.341112089],[2.51391236],[2.836210036],[2.904619152],[2.231580347],[2.44580907],[3.168577483],[3.043474819],[3.71908598],[2.885718694],[0.389913271],[3.710744744],[2.883785756],[4.235854103],[1.16089884],[2.033190441],[2.596257156],[2.343461196],[2.186323911],[2.343740926],[1.464983396],[1.763770298],[3.77595428],[2.490237558],[3.02397974],[0.45289818],[2.143316254],[1.54008693],[1.902495804],[2.041553712],[1.957379176],[1.317639308],[1.56600051],[2.083967011],[0.744133157],[0.402543224],[0.580227432],[-8.507286941],[-9.00725218]]]

[]

[{"axis_id":"0","tick_interval":"12","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":"-10","axis_max":"10","axis_title":"%","precision":"2","table_units":"(%)","tooltip_units":"(%)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"axis_id":"1","tick_interval":"50","axis_min":"1500","axis_max":"1800","axis_title":"Millions","precision":"1","table_units":"(m)","tooltip_units":"(m)","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Participation

In seasonally adjusted terms, in May 2020, the participation rate:

decreased by 0.7 pts to 62.9%, and decreased 3.2 pts over the year to May 2020
decreased by 0.8 pts for men (to 68.1%) and decreased by 0.6 pts for women (57.8%)
decreased by 0.8 pts to 75.3% for 15 to 64 year olds (the working age population). For 15 to 64 year old men, it was 80.1% and for 15 to 64 year old women it was 70.6%
decreased by 2.8 pts to 59.9% for 15 to 24 year olds

Participation rate, Seasonally adjusted
	Persons (%)	Males (%)	Females (%)
May-10	65.0	72.0	58.3
Jun-10	65.2	72.2	58.5
Jul-10	65.4	72.2	58.7
Aug-10	65.4	72.2	58.7
Sep-10	65.5	72.5	58.7
Oct-10	65.7	72.6	58.9
Nov-10	65.8	72.7	59.1
Dec-10	65.6	72.6	58.8
Jan-11	65.8	72.8	58.9
Feb-11	65.5	72.5	58.7
Mar-11	65.6	72.4	59.0
Apr-11	65.4	72.2	58.7
May-11	65.3	72.0	58.7
Jun-11	65.3	71.9	58.9
Jul-11	65.4	72.0	59.0
Aug-11	65.4	72.1	58.9
Sep-11	65.5	72.1	59.1
Oct-11	65.4	72.1	58.9
Nov-11	65.4	72.0	58.9
Dec-11	65.1	71.8	58.6
Jan-12	65.3	72.2	58.7
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	65.3	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	59.0
Mar-13	65.1	71.5	58.8
Apr-13	65.2	71.5	59.0
May-13	65.0	71.5	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	64.5	70.9	58.2
Jan-14	64.6	70.9	58.5
Feb-14	64.6	70.8	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	64.6	70.7	58.8
Oct-14	64.7	70.8	58.7
Nov-14	64.5	71.1	58.2
Dec-14	64.6	70.9	58.6
Jan-15	64.8	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	70.8	59.0
Jul-15	65.1	71.0	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	71.0	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	70.6	59.4
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	70.4	59.1
Sep-16	64.5	70.1	59.1
Oct-16	64.5	70.3	59.0
Nov-16	64.7	70.3	59.3
Dec-16	64.8	70.6	59.3
Jan-17	64.7	70.2	59.4
Feb-17	64.7	70.4	59.2
Mar-17	64.9	70.5	59.5
Apr-17	64.9	70.7	59.4
May-17	65.0	70.6	59.6
Jun-17	65.1	70.5	59.8
Jul-17	65.2	70.7	59.8
Aug-17	65.3	70.8	60.0
Sep-17	65.3	70.7	60.1
Oct-17	65.3	70.6	60.1
Nov-17	65.5	70.9	60.3
Dec-17	65.8	71.2	60.6
Jan-18	65.8	71.2	60.5
Feb-18	65.7	71.0	60.6
Mar-18	65.6	70.8	60.5
Apr-18	65.6	70.9	60.5
May-18	65.4	70.7	60.4
Jun-18	65.7	70.9	60.6
Jul-18	65.5	70.9	60.3
Aug-18	65.6	71.0	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	65.7	71.0	60.5
Jan-19	65.7	71.0	60.7
Feb-19	65.6	70.7	60.6
Mar-19	65.7	71.0	60.6
Apr-19	65.9	71.0	61.0
May-19	66.0	71.5	60.8
Jun-19	66.0	71.2	60.9
Jul-19	66.0	71.2	61.0
Aug-19	66.2	71.3	61.2
Sep-19	66.1	71.1	61.2
Oct-19	66.0	70.9	61.2
Nov-19	65.9	70.9	61.1
Dec-19	66.0	71.0	61.1
Jan-20	66.1	70.8	61.5
Feb-20	65.9	70.8	61.3
Mar-20	65.9	70.8	61.2
Apr-20	63.6	68.9	58.4
May-20	62.9	68.1	57.8

Participation rate, Seasonally adjusted

["","Persons","Males","Females"]

[["May-10","Jun-10","Jul-10","Aug-10","Sep-10","Oct-10","Nov-10","Dec-10","Jan-11","Feb-11","Mar-11","Apr-11","May-11","Jun-11","Jul-11","Aug-11","Sep-11","Oct-11","Nov-11","Dec-11","Jan-12","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"],[[65.015116],[65.206124],[65.382591],[65.365351],[65.476045],[65.655216],[65.799461],[65.595647],[65.76762],[65.515486],[65.6036],[65.357618],[65.256458],[65.307098],[65.370339],[65.44412],[65.516551],[65.406432],[65.353157],[65.107434],[65.320526],[65.126302],[65.342192],[65.057705],[65.348794],[65.088019],[65.057935],[64.984825],[65.326529],[65.181866],[64.946648],[65.042043],[65.293946],[65.241383],[65.081696],[65.150421],[65.02804],[65.074962],[64.86477],[64.887957],[64.848767],[64.834929],[64.620541],[64.456608],[64.579165],[64.594474],[64.747662],[64.675831],[64.566092],[64.67107],[64.764693],[64.621486],[64.648079],[64.651303],[64.538555],[64.636259],[64.753676],[64.868784],[64.861281],[64.803932],[64.851916],[64.798765],[65.082241],[64.933504],[64.972938],[65.16048],[65.228762],[65.14029],[65.244374],[64.988426],[64.940966],[64.897591],[64.860583],[64.869811],[64.947377],[64.654049],[64.485074],[64.540991],[64.712063],[64.818355],[64.690678],[64.698407],[64.90523],[64.937321],[64.959191],[65.077168],[65.154567],[65.290521],[65.317962],[65.265544],[65.504498],[65.806041],[65.785623],[65.686626],[65.590434],[65.602196],[65.436303],[65.658372],[65.50698],[65.626314],[65.412896],[65.529971],[65.671216],[65.677294],[65.729081],[65.576876],[65.699513],[65.872631],[66.020702],[65.985781],[66.024212],[66.153897],[66.077109],[65.95453],[65.935766],[65.967869],[66.0761],[65.941102],[65.918763],[63.569844],[62.854792]],[[71.962386],[72.150201],[72.225314],[72.228033],[72.474941],[72.578474],[72.663469],[72.550579],[72.812462],[72.536921],[72.350706],[72.167131],[71.962665],[71.890341],[71.965514],[72.138815],[72.142284],[72.078121],[72.037291],[71.815798],[72.160408],[71.813511],[71.767761],[71.698002],[71.755414],[71.58173],[71.497411],[71.569966],[71.816017],[71.754509],[71.474287],[71.722619],[71.94008],[71.706195],[71.530124],[71.500219],[71.547567],[71.597727],[71.262077],[71.289079],[71.199516],[71.205695],[71.029151],[70.908895],[70.852393],[70.759428],[70.926111],[71.033839],[70.671916],[70.862147],[70.992934],[70.85628],[70.720782],[70.840749],[71.075615],[70.866667],[71.100571],[71.177493],[71.287743],[71.101032],[71.010286],[70.840211],[71.023097],[70.930635],[70.933614],[71.105835],[70.936801],[70.952207],[71.313461],[70.73702],[70.787767],[70.558614],[70.610753],[70.352911],[70.568696],[70.419193],[70.063961],[70.26597],[70.332841],[70.582821],[70.206265],[70.383719],[70.499976],[70.66407],[70.564291],[70.508722],[70.743505],[70.75552],[70.729825],[70.616453],[70.91995],[71.169738],[71.229031],[70.984957],[70.84665],[70.944576],[70.687959],[70.901257],[70.882391],[71.030692],[70.718952],[70.843479],[71.030014],[71.04088],[70.990549],[70.728774],[70.988491],[70.974709],[71.460798],[71.230251],[71.209799],[71.291584],[71.131062],[70.910428],[70.915209],[70.967351],[70.808966],[70.781835],[70.807539],[68.88887],[68.084943]],[[58.259716],[58.453778],[58.7294],[58.69326],[58.672122],[58.925496],[59.127993],[58.836473],[58.921694],[58.692947],[59.048214],[58.74095],[58.73952],[58.909024],[58.963002],[58.941983],[59.083278],[58.927786],[58.861703],[58.591705],[58.676817],[58.630675],[59.100484],[58.606688],[59.12408],[58.777995],[58.800347],[58.585406],[59.019802],[58.794868],[58.603896],[58.551236],[58.837417],[58.961816],[58.818834],[58.98335],[58.696147],[58.739921],[58.653159],[58.6742],[58.685464],[58.655185],[58.407125],[58.203855],[58.499429],[58.619193],[58.758821],[58.513742],[58.649153],[58.672289],[58.731011],[58.582599],[58.767269],[58.658527],[58.210356],[58.606009],[58.611441],[58.764274],[58.643603],[58.712347],[58.895474],[58.956303],[59.338234],[59.136266],[59.212128],[59.415958],[59.715005],[59.527628],[59.383849],[59.437793],[59.295974],[59.432836],[59.310623],[59.578463],[59.523404],[59.09211],[59.103582],[59.019024],[59.291045],[59.2592],[59.371231],[59.214958],[59.508816],[59.413596],[59.552801],[59.838185],[59.764318],[60.02047],[60.099836],[60.106629],[60.283812],[60.635681],[60.537969],[60.578394],[60.522374],[60.450677],[60.371921],[60.602074],[60.322798],[60.41409],[60.295424],[60.405665],[60.503581],[60.505395],[60.655097],[60.608034],[60.597918],[60.951105],[60.772899],[60.926477],[61.021896],[61.197951],[61.202111],[61.174697],[61.133792],[61.147159],[61.512056],[61.272596],[61.2035],[58.43937],[57.809819]]]

[]

[{"axis_id":"0","tick_interval":"12","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}]

Underemployment

In seasonally adjusted terms, in May 2020:

the underemployment rate decreased by 0.7 pts to 13.1% (4.5 pts higher than a year ago)
the underutilisation rate increased less than 0.1 pts to 20.2%

Underemployment rate, Seasonally adjusted
	Persons (%)	Males (%)	Females (%)
May-10	7.0	5.3	9.0
Jun-10	7.0	5.4	9.0
Jul-10	7.1	5.5	8.9
Aug-10	7.2	5.7	9.0
Sep-10	7.1	5.6	8.9
Oct-10	7.0	5.5	8.9
Nov-10	6.9	5.5	8.6
Dec-10	7.0	5.3	8.9
Jan-11	6.8	5.1	8.9
Feb-11	6.9	5.1	9.0
Mar-11	6.9	5.2	9.0
Apr-11	7.0	5.4	8.9
May-11	7.1	5.5	8.9
Jun-11	7.0	5.4	8.8
Jul-11	6.8	5.1	8.8
Aug-11	6.7	5.0	8.8
Sep-11	6.8	5.0	8.9
Oct-11	6.9	5.2	9.0
Nov-11	7.1	5.3	9.1
Dec-11	7.1	5.4	9.2
Jan-12	7.2	5.5	9.1
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	7.4	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	5.4	9.0
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	6.4	11.0
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	6.4	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	7.1	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	7.1	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	9.0	6.9	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	10.5
Aug-17	8.6	6.8	10.6
Sep-17	8.5	6.7	10.6
Oct-17	8.5	6.6	10.6
Nov-17	8.5	6.7	10.6
Dec-17	8.5	6.5	10.8
Jan-18	8.7	7.0	10.6
Feb-18	8.5	6.6	10.7
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	10.9
Jul-18	8.5	6.3	10.9
Aug-18	8.2	6.0	10.6
Sep-18	8.3	6.3	10.6
Oct-18	8.3	6.2	10.6
Nov-18	8.5	6.6	10.7
Dec-18	8.3	6.5	10.4
Jan-19	8.1	6.2	10.3
Feb-19	8.1	6.2	10.2
Mar-19	8.3	6.5	10.3
Apr-19	8.5	6.9	10.3
May-19	8.5	6.8	10.5
Jun-19	8.2	6.6	10.0
Jul-19	8.4	6.7	10.4
Aug-19	8.5	6.9	10.4
Sep-19	8.3	6.8	10.1
Oct-19	8.5	6.7	10.5
Nov-19	8.3	6.7	10.2
Dec-19	8.2	6.6	10.1
Jan-20	8.6	6.7	10.7
Feb-20	8.7	6.6	10.9
Mar-20	8.8	7.2	10.6
Apr-20	13.8	12.6	15.1
May-20	13.1	12.2	14.1

Underemployment rate, Seasonally adjusted

["","Persons","Males","Females"]

[["May-10","Jun-10","Jul-10","Aug-10","Sep-10","Oct-10","Nov-10","Dec-10","Jan-11","Feb-11","Mar-11","Apr-11","May-11","Jun-11","Jul-11","Aug-11","Sep-11","Oct-11","Nov-11","Dec-11","Jan-12","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"],[[6.9883186],[7.0343617],[7.0670264],[7.1822461],[7.1386928],[7.0465479],[6.9097208],[6.9512388],[6.8378796],[6.8774045],[6.9474871],[7.0235764],[7.067696],[6.9840852],[6.8033291],[6.7444419],[6.8246924],[6.9418064],[7.0623471],[7.1312505],[7.1531903],[7.2679832],[7.2333753],[7.2954591],[7.3517149],[7.1849328],[7.0506976],[6.9002394],[6.8296407],[6.9862794],[7.0380017],[7.0222871],[6.9855751],[7.0666372],[7.2272622],[7.2127793],[7.4565921],[7.5480466],[7.3700185],[7.5655482],[7.4296848],[7.5104824],[7.4672604],[7.5122368],[7.3372533],[7.4863964],[7.5376707],[7.6557548],[7.7606032],[7.9299704],[8.2866988],[8.3777217],[8.8390527],[8.1999384],[8.6468999],[8.4466618],[8.5204761],[8.514886],[8.1636222],[8.3285215],[8.3839195],[8.3869808],[8.6142037],[8.4268294],[8.7943849],[8.7089462],[8.5816024],[8.46017],[8.5173595],[8.366852],[8.4080942],[8.6291572],[8.3199216],[8.7842514],[8.9892159],[8.785728],[8.7227804],[8.5300605],[8.5112296],[8.6103922],[8.7804999],[9.0403127],[8.631593],[8.7664954],[8.6723116],[8.4358508],[8.5117624],[8.5760369],[8.5420512],[8.4870873],[8.5289933],[8.4774403],[8.7253514],[8.522935],[8.6038818],[8.4742216],[8.4169303],[8.5994566],[8.4509959],[8.1712229],[8.3022563],[8.2589604],[8.5272658],[8.3201368],[8.1200307],[8.0811367],[8.2587877],[8.5024706],[8.5495435],[8.2061908],[8.4119147],[8.5077421],[8.3295036],[8.4995708],[8.3208185],[8.2455463],[8.5850109],[8.654031],[8.8137522],[13.7707007],[13.0828762]],[[5.3243856],[5.4360284],[5.541327],[5.6830701],[5.630978],[5.5321809],[5.5054521],[5.3478802],[5.0931956],[5.0854946],[5.2380491],[5.4132124],[5.5195846],[5.4155462],[5.1077914],[5.0132711],[5.0337354],[5.2155044],[5.3261684],[5.3866259],[5.5004617],[5.7011147],[5.6206245],[5.486634],[5.4576778],[5.3583262],[5.2358148],[5.1007573],[5.0754678],[5.1993702],[5.2741244],[5.3423606],[5.3382215],[5.3936265],[5.5029019],[5.5013401],[5.7559558],[5.8982806],[5.5651534],[5.7918607],[5.6883881],[5.8261316],[5.6828954],[5.8052493],[5.6895639],[5.7061593],[5.7244654],[5.7354713],[5.9052374],[5.9599171],[6.3253425],[6.4163103],[6.9173238],[6.2888582],[6.7192842],[6.5218148],[6.4747454],[6.4359222],[5.9299665],[6.3675763],[6.3602042],[6.4814602],[6.8096329],[6.4135691],[6.7574081],[6.7268062],[6.6840147],[6.3340278],[6.5968447],[6.4961302],[6.6019172],[7.0984726],[6.6624631],[6.9957179],[6.9795533],[7.0960337],[6.8979243],[6.7845191],[6.6760123],[6.8035766],[6.8744537],[6.9053451],[6.8125835],[6.7073942],[6.7686069],[6.596052],[6.8088821],[6.7905074],[6.730924],[6.6250834],[6.6965818],[6.451389],[7.0377493],[6.6400737],[6.56764],[6.4334176],[6.4327282],[6.6033952],[6.3299176],[6.0083012],[6.292222],[6.2004045],[6.6453497],[6.4972955],[6.1803861],[6.2098065],[6.4940669],[6.8962409],[6.8422244],[6.636279],[6.6786121],[6.8667081],[6.7755893],[6.7037209],[6.6582776],[6.62366],[6.6890761],[6.5995286],[7.1862643],[12.6376508],[12.1885513]],[[8.986845],[8.9527321],[8.8913587],[8.9758982],[8.9492201],[8.8596501],[8.587044],[8.8726739],[8.9329964],[9.0292422],[8.982514],[8.9459857],[8.9107821],[8.84443],[8.8138266],[8.8022715],[8.9479783],[8.9922535],[9.1259008],[9.2082307],[9.127412],[9.1321727],[9.1357562],[9.4452541],[9.5851284],[9.3465085],[9.1951451],[9.0365499],[8.9040267],[9.105465],[9.1283245],[9.0216657],[8.9423195],[9.0429621],[9.2639268],[9.2277022],[9.469919],[9.501063],[9.4992307],[9.6574969],[9.4799397],[9.4939251],[9.5711409],[9.5275238],[9.2713222],[9.5692122],[9.6591721],[9.9150852],[9.9271473],[10.2354224],[10.5834879],[10.6755264],[11.0785927],[10.4345768],[10.925344],[10.6994214],[10.9220963],[10.9514989],[10.790662],[10.6257365],[10.7439079],[10.6011881],[10.7025616],[10.7611339],[11.1527745],[11.0009357],[10.7590648],[10.9074811],[10.7444299],[10.5165338],[10.4898916],[10.3833817],[10.2244619],[10.8223728],[11.2881517],[10.7283389],[10.8095026],[10.5345468],[10.6108506],[10.685816],[10.9542415],[11.4878631],[10.7101764],[11.1286825],[10.8480483],[10.5268685],[10.4558161],[10.6058342],[10.5972132],[10.5961763],[10.6071751],[10.7697542],[10.6395791],[10.6500861],[10.9021534],[10.7837314],[10.6573355],[10.8516344],[10.8547061],[10.6238182],[10.5759846],[10.5872585],[10.6577855],[10.3838904],[10.3092913],[10.1873596],[10.2528581],[10.306661],[10.4861596],[9.9768005],[10.3631146],[10.3518139],[10.0715642],[10.5072704],[10.1806322],[10.0605966],[10.6896469],[10.942943],[10.6297975],[15.0590034],[14.098866]]]

[]

[{"axis_id":"0","tick_interval":"12","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

May 2020, Seasonally adjusted
	New South Wales	Victoria	Queensland	South Australia	Western Australia	Tasmania	Northern Territory	Australian Capital Territory	Australia
Employed persons	3,856,400	3,247,100	2,390,900	806,100	1,272,000	238,700	129,900	227,500	12,154,100
Employed persons - monthly change	-1.1%	-2.1%	-1.2%	-1.4%	-2.3%	-4.0%	-1.6%	-1.6%	-1.8%
Employment to population ratio	58.1%	59.3%	57.7%	55.6%	59.7%	53.7%	69.2%	66.6%	58.4%
Employment to population ratio - monthly change	-0.7 pts	-1.3 pts	-0.7 pts	-0.8 pts	-1.4 pts	-2.3 pts	-1.1 pts	-1.1 pts	-1.1 pts
Unemployment rate	6.4%	6.9%	7.9%	7.9%	8.1%	6.4%	7.4%	4.1%	7.1%
Unemployment rate - monthly change	0.1 pts	0.9 pts	0.9 pts	0.7 pts	2.0 pts	0.1 pts	1.8 pts	-0.1 pts	0.7 pts
Underemployment rate	13.5%	15.2%	11.8%	13.1%	12.1%	14.6%	10.3%	5.7%	13.1%
Underemployment rate - monthly change	0.2 pts	0.7 pts	-1.1 pts	-2.5 pts	-2.3 pts	-1.8 pts	-0.0 pts	-3.5pts	-0.7 pts
Participation rate	62.10%	63.7%	62.6%	60.3%	65.0%	57.3%	74.7%	69.4%	62.9%
Participation rate - monthly change	-0.7 pts	-0.8 pts	-0.2 pts	-0.4 pts	-0.1 pts	-2.3 pts	0.2 pts	-1.2 pts	-0.7 pts

Rotation group analysis

Sample composition and rotation

COVID-19 and the incoming rotation groups in April and May

Incoming and outgoing rotation groups

The importance of seasonally adjusted data

Contribution from sample components to estimates

Data files

Download xls [98.5 KB]

Data downloads

Labour Force Survey results are released in two stages, with data not included in this first release included in the second monthly release Labour Force, Australia, Detailed. This second release includes both monthly and quarterly data. See the Survey output section of Labour Force, Australia methodology.

Labour force status

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

Data files

Download xls [6.84 MB]

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

Data files

Download xls [4.18 MB]

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

Data files

Download xls [4.2 MB]

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

Data files

Download xls [4.22 MB]

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

Data files

Download xls [4.23 MB]

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

Data files

Download xls [4.22 MB]

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

Data files

Download xls [4.43 MB]

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

Data files

Download xls [5.05 MB]

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

Data files

Download xls [254.5 KB]

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

Data files

Download xls [4.36 MB]

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

Data files

Download xls [254.5 KB]

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

Data files

Download xls [41.37 MB]

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

Data files

Download xls [458.5 KB]

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

Data files

Download xls [6.83 MB]

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

Data files

Download xls [1.56 MB]

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

Data files

Download xls [8.36 MB]

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

Data files

Download xls [5.24 MB]

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

Data files

Download xls [6.83 MB]

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

Data files

Download xls [3.03 MB]

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

Data files

Download xls [75 KB]

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

Data files

Download xls [62.5 KB]

Underemployment and underutilisation

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

Data files

Download xls [45.38 MB]

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

Data files

Download xls [61.37 MB]

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

Data files

Download xls [691 KB]

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

Data files

Download xls [731 KB]

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

Data files

Download xls [606.5 KB]

APA

Labour Force, Australia

APA

Key statistics

Survey impacts and changes

Survey reference and collection week timeline

Survey response

Continued suspension of trend estimates

Quarterly population rebenchmarking

Treatment of people on JobKeeper, JobSeeker or stood down

1. People paid through the JobKeeper wage subsidy: employed

2. People in receipt of the JobSeeker payment: it depends on their labour market activity

3. People not working any hours, including those who were stood down: it depends on their job attachment and pay, and potentially other labour market activity

Articles

Unemployment

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

COVID-19 and the incoming rotation groups in April and May

Incoming and outgoing rotation groups

The importance of 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

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

Article archive

Understanding the labour force

Employment and jobs

Unemployment and underemployment

Hours worked

Regional estimates

LFS content and output

Methodology

Methodology

Articles

People who lost a job or were stood down: flows analysis, May 2020

Employment falls by a further 227,700 in May

Insights into hours worked, May 2020

Do you need more detailed statistics?

Request data

Microdata and TableBuilder