Headline estimates of employment, unemployment, underemployment, participation and hours worked from the monthly Labour Force Survey
In seasonally adjusted terms, in September 2022:
In trend terms, in September 2022:
| Aug-2022 | Sep-2022 | Monthly change | Monthly change (%) | Yearly change | Yearly change (%) | |
|---|---|---|---|---|---|---|
| Employed people | 13,589,900 | 13,590,800 | 900 | 0.0% | 691,200 | 5.4% |
| Unemployed people | 490,600 | 499,400 | 8,800 | 1.8% | -133,000 | -21.0% |
| Unemployment rate | 3.5% | 3.5% | 0.1 pts | na | -1.1 pts | na |
| Underemployment rate | 6.0% | 6.0% | 0.1 pts | na | -3.2 pts | na |
| Participation rate | 66.6% | 66.6% | 0.0 pts | na | 1.9 pts | na |
| Monthly hours worked in all jobs | 1,854 million | 1,853 million | -1 million | 0.0% | 124 million | 7.1% |
| Aug-2022 | Sep-2022 | Monthly change | Monthly change (%) | Yearly change | Yearly change (%) | |
|---|---|---|---|---|---|---|
| Employed people | 13,592,800 | 13,608,200 | 15,400 | 0.1% | 469,400 | 3.6% |
| Unemployed people | 496,700 | 494,400 | -2,300 | -0.5% | -142,900 | -22.4% |
| Unemployment rate | 3.5% | 3.5% | 0.0 pts | na | -1.1 pts | na |
| Underemployment rate | 6.0% | 6.0% | 0.0 pts | na | -3.2 pts | na |
| Participation rate | 66.6% | 66.7% | 0.0 pts | na | 0.8 pts | na |
| Monthly hours worked in all jobs | 1,856 million | 1,859 million | 3 million | 0.1% | 123 million | 7.1% |
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.
Commencing with this issue, the ABS has reinstated Labour Force Trend estimates (including for the entire COVID period in the spreadsheets) and reverted to concurrent seasonal adjustment. Trend series in Labour Force, Australia, Detailed will become available in two stages, with monthly series released on 27 October and quarterly series on 22 December 2022. For further information, see Seasonal adjustment and trend estimates below.
The ABS has again included more detailed information given the interest in understanding
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 28 October 2022 (see Microdata: Longitudinal Labour Force, Australia).
ABS suspended the publication of Labour Force Trend estimates in April 2020, due to the large changes in the labour market during the COVID-19 period, particularly during the first two years of the pandemic (April 2020 to March 2022).
As suggested in A Guide to Interpreting Time Series, trend estimates are generally a better guide to the substantive movements in the series, and are considered the best indicator of the underlying behaviour in the labour market.
Given this, following extensive analysis of the time series, the ABS has now reinstated Labour Force Trend estimates and reverted back to using the concurrent seasonal adjustment method (rather than using forward factors).
The ABS has also included the trend during the COVID period in the spreadsheets in this release. However, given the large month-to-month changes during the first two years of the COVID-19 pandemic, resulting in multiple trend breaks, the ABS recommends caution when using trend estimates during this period.
The ABS will continue to investigate methods for the identification of trend breaks as part of the upcoming Annual Seasonal Reanalysis in 2023. As part of this process, there may be larger than usual revisions, particularly for the first two years of the pandemic.
The Trend series in Labour Force, Australia, Detailed estimates will become available in two stages:
In the November 2022 publication, to be released on 15 December 2022, the Labour Force population benchmarks will be updated to reflect the latest estimated resident population (ERP) based on the 2021 Census (preliminary rebased ERP).
This is a regular 5-yearly rebasing process which follows each Census, and ensures the Labour Force estimates are benchmarked to the most recent population information.
This process will result in revisions to Labour Force estimates going back to 2016. This follows a similar process to that undertaken in 2017.
The September Labour Force Survey was run in respect of the two weeks from Sunday 4 September to Saturday 17 September, and collected over the period from Sunday 11 September to Saturday 1 October.
The ABS would like to thank Australians for their continued support in responding to our surveys, given how critically important this information is.
| Publication | Start of Reference Week | End of Reference Week | Start of Enumeration | End of Enumeration |
|---|---|---|---|---|
| Aug-22 | 31st July 2022 | 13th August 2022 | 7th August 2022 | 27th August 2022 |
| Sep-22 | 4th September 2022 | 17th September 2022 | 11th September 2022 | 1st October 2022 |
| Oct-22 | 2nd October 2022 | 15th October 2022 | 9th October 2022 | 29th October 2022 |
| Nov-22 | 30th October 2022 | 12th November 2022 | 6th November 2022 | 26th November 2022 |
| Dec-22 | 27th November 2022 | 10th December 2022 | 4th December 2022 | 22nd December 2022 |
| Jan-23 | 1st January 2023 | 14th January 2023 | 8th January 2023 | 28th January 2023 |
In seasonally adjusted terms, in September 2022:
| Trend (%) | Seasonally adjusted (%) | |
|---|---|---|
| Sep-12 | 5.3 | 5.5 |
| Oct-12 | 5.3 | 5.4 |
| Nov-12 | 5.4 | 5.3 |
| Dec-12 | 5.4 | 5.4 |
| Jan-13 | 5.4 | 5.4 |
| Feb-13 | 5.5 | 5.4 |
| Mar-13 | 5.6 | 5.6 |
| Apr-13 | 5.6 | 5.6 |
| May-13 | 5.6 | 5.6 |
| Jun-13 | 5.7 | 5.7 |
| Jul-13 | 5.7 | 5.6 |
| Aug-13 | 5.7 | 5.8 |
| Sep-13 | 5.8 | 5.7 |
| Oct-13 | 5.8 | 5.8 |
| Nov-13 | 5.8 | 5.8 |
| Dec-13 | 5.9 | 5.9 |
| Jan-14 | 5.8 | 5.9 |
| Feb-14 | 5.8 | 5.9 |
| Mar-14 | 5.8 | 5.9 |
| Apr-14 | 5.9 | 5.8 |
| May-14 | 5.9 | 5.9 |
| Jun-14 | 6.0 | 6.0 |
| Jul-14 | 6.1 | 6.2 |
| Aug-14 | 6.2 | 6.1 |
| Sep-14 | 6.3 | 6.2 |
| Oct-14 | 6.3 | 6.4 |
| Nov-14 | 6.3 | 6.3 |
| Dec-14 | 6.3 | 6.1 |
| Jan-15 | 6.2 | 6.3 |
| Feb-15 | 6.2 | 6.1 |
| Mar-15 | 6.1 | 6.1 |
| Apr-15 | 6.1 | 6.1 |
| May-15 | 6.1 | 5.9 |
| Jun-15 | 6.1 | 6.0 |
| Jul-15 | 6.1 | 6.3 |
| Aug-15 | 6.0 | 6.1 |
| Sep-15 | 6.0 | 6.2 |
| Oct-15 | 5.9 | 5.9 |
| Nov-15 | 5.9 | 5.9 |
| Dec-15 | 5.8 | 5.7 |
| Jan-16 | 5.8 | 6.0 |
| Feb-16 | 5.7 | 5.7 |
| Mar-16 | 5.7 | 5.6 |
| Apr-16 | 5.7 | 5.6 |
| May-16 | 5.7 | 5.7 |
| Jun-16 | 5.6 | 5.7 |
| Jul-16 | 5.6 | 5.7 |
| Aug-16 | 5.6 | 5.6 |
| Sep-16 | 5.6 | 5.6 |
| Oct-16 | 5.7 | 5.6 |
| Nov-16 | 5.7 | 5.8 |
| Dec-16 | 5.8 | 5.8 |
| Jan-17 | 5.8 | 5.7 |
| Feb-17 | 5.8 | 5.8 |
| Mar-17 | 5.8 | 5.8 |
| Apr-17 | 5.7 | 5.6 |
| May-17 | 5.7 | 5.5 |
| Jun-17 | 5.6 | 5.6 |
| Jul-17 | 5.6 | 5.6 |
| Aug-17 | 5.5 | 5.5 |
| Sep-17 | 5.5 | 5.5 |
| Oct-17 | 5.5 | 5.4 |
| Nov-17 | 5.5 | 5.4 |
| Dec-17 | 5.5 | 5.6 |
| Jan-18 | 5.5 | 5.5 |
| Feb-18 | 5.5 | 5.6 |
| Mar-18 | 5.5 | 5.5 |
| Apr-18 | 5.5 | 5.5 |
| May-18 | 5.4 | 5.4 |
| Jun-18 | 5.4 | 5.3 |
| Jul-18 | 5.3 | 5.3 |
| Aug-18 | 5.2 | 5.3 |
| Sep-18 | 5.2 | 5.0 |
| Oct-18 | 5.1 | 5.0 |
| Nov-18 | 5.0 | 5.1 |
| Dec-18 | 5.0 | 5.0 |
| Jan-19 | 5.0 | 5.1 |
| Feb-19 | 5.0 | 5.0 |
| Mar-19 | 5.1 | 5.1 |
| Apr-19 | 5.1 | 5.2 |
| May-19 | 5.2 | 5.2 |
| Jun-19 | 5.2 | 5.3 |
| Jul-19 | 5.2 | 5.3 |
| Aug-19 | 5.3 | 5.3 |
| Sep-19 | 5.2 | 5.2 |
| Oct-19 | 5.2 | 5.3 |
| Nov-19 | 5.2 | 5.2 |
| Dec-19 | 5.1 | 5.0 |
| Jan-20 | 5.2 | 5.3 |
| Feb-20 | 5.2 | 5.1 |
| Mar-20 | 5.3 | 5.2 |
| Apr-20 | 6.3 | |
| May-20 | 7.0 | |
| Jun-20 | 7.4 | |
| Jul-20 | 7.5 | |
| Aug-20 | 6.8 | |
| Sep-20 | 6.9 | |
| Oct-20 | 6.9 | |
| Nov-20 | 6.8 | |
| Dec-20 | 6.6 | |
| Jan-21 | 6.4 | |
| Feb-21 | 5.8 | |
| Mar-21 | 5.6 | |
| Apr-21 | 5.4 | |
| May-21 | 5.1 | |
| Jun-21 | 5.0 | |
| Jul-21 | 4.7 | |
| Aug-21 | 4.6 | |
| Sep-21 | 4.7 | |
| Oct-21 | 5.2 | |
| Nov-21 | 4.6 | |
| Dec-21 | 4.2 | |
| Jan-22 | 4.2 | |
| Feb-22 | 4.0 | |
| Mar-22 | 3.9 | |
| Apr-22 | 3.8 | 3.9 |
| May-22 | 3.7 | 3.9 |
| Jun-22 | 3.6 | 3.5 |
| Jul-22 | 3.6 | 3.4 |
| Aug-22 | 3.5 | 3.5 |
| Sep-22 | 3.5 | 3.5 |
Unemployment rate
["","Trend","Seasonally adjusted"]
[["Sep-12","Oct-12","Nov-12","Dec-12","Jan-13","Feb-13","Mar-13","Apr-13","May-13","Jun-13","Jul-13","Aug-13","Sep-13","Oct-13","Nov-13","Dec-13","Jan-14","Feb-14","Mar-14","Apr-14","May-14","Jun-14","Jul-14","Aug-14","Sep-14","Oct-14","Nov-14","Dec-14","Jan-15","Feb-15","Mar-15","Apr-15","May-15","Jun-15","Jul-15","Aug-15","Sep-15","Oct-15","Nov-15","Dec-15","Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","Jul-17","Aug-17","Sep-17","Oct-17","Nov-17","Dec-17","Jan-18","Feb-18","Mar-18","Apr-18","May-18","Jun-18","Jul-18","Aug-18","Sep-18","Oct-18","Nov-18","Dec-18","Jan-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20","Jan-21","Feb-21","Mar-21","Apr-21","May-21","Jun-21","Jul-21","Aug-21","Sep-21","Oct-21","Nov-21","Dec-21","Jan-22","Feb-22","Mar-22","Apr-22","May-22","Jun-22","Jul-22","Aug-22","Sep-22"],[[5.2999999999999998],[5.2999999999999998],[5.4000000000000004],[5.4000000000000004],[5.4000000000000004],[5.5],[5.5999999999999996],[5.5999999999999996],[5.5999999999999996],[5.7000000000000002],[5.7000000000000002],[5.7000000000000002],[5.7999999999999998],[5.7999999999999998],[5.7999999999999998],[5.9000000000000004],[5.7999999999999998],[5.7999999999999998],[5.7999999999999998],[5.9000000000000004],[5.9000000000000004],[6],[6.0999999999999996],[6.2000000000000002],[6.2999999999999998],[6.2999999999999998],[6.2999999999999998],[6.2999999999999998],[6.2000000000000002],[6.2000000000000002],[6.0999999999999996],[6.0999999999999996],[6.0999999999999996],[6.0999999999999996],[6.0999999999999996],[6],[6],[5.9000000000000004],[5.9000000000000004],[5.7999999999999998],[5.7999999999999998],[5.7000000000000002],[5.7000000000000002],[5.7000000000000002],[5.7000000000000002],[5.5999999999999996],[5.5999999999999996],[5.5999999999999996],[5.5999999999999996],[5.7000000000000002],[5.7000000000000002],[5.7999999999999998],[5.7999999999999998],[5.7999999999999998],[5.7999999999999998],[5.7000000000000002],[5.7000000000000002],[5.5999999999999996],[5.5999999999999996],[5.5],[5.5],[5.5],[5.5],[5.5],[5.5],[5.5],[5.5],[5.5],[5.4000000000000004],[5.4000000000000004],[5.2999999999999998],[5.2000000000000002],[5.2000000000000002],[5.0999999999999996],[5],[5],[5],[5],[5.0999999999999996],[5.0999999999999996],[5.2000000000000002],[5.2000000000000002],[5.2000000000000002],[5.2999999999999998],[5.2000000000000002],[5.2000000000000002],[5.2000000000000002],[5.0999999999999996],[5.2000000000000002],[5.2000000000000002],[5.2999999999999998],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[3.7999999999999998],[3.7000000000000002],[3.6000000000000001],[3.6000000000000001],[3.5],[3.5]],[[5.5],[5.4000000000000004],[5.2999999999999998],[5.4000000000000004],[5.4000000000000004],[5.4000000000000004],[5.5999999999999996],[5.5999999999999996],[5.5999999999999996],[5.7000000000000002],[5.5999999999999996],[5.7999999999999998],[5.7000000000000002],[5.7999999999999998],[5.7999999999999998],[5.9000000000000004],[5.9000000000000004],[5.9000000000000004],[5.9000000000000004],[5.7999999999999998],[5.9000000000000004],[6],[6.2000000000000002],[6.0999999999999996],[6.2000000000000002],[6.4000000000000004],[6.2999999999999998],[6.0999999999999996],[6.2999999999999998],[6.0999999999999996],[6.0999999999999996],[6.0999999999999996],[5.9000000000000004],[6],[6.2999999999999998],[6.0999999999999996],[6.2000000000000002],[5.9000000000000004],[5.9000000000000004],[5.7000000000000002],[6],[5.7000000000000002],[5.5999999999999996],[5.5999999999999996],[5.7000000000000002],[5.7000000000000002],[5.7000000000000002],[5.5999999999999996],[5.5999999999999996],[5.5999999999999996],[5.7999999999999998],[5.7999999999999998],[5.7000000000000002],[5.7999999999999998],[5.7999999999999998],[5.5999999999999996],[5.5],[5.5999999999999996],[5.5999999999999996],[5.5],[5.5],[5.4000000000000004],[5.4000000000000004],[5.5999999999999996],[5.5],[5.5999999999999996],[5.5],[5.5],[5.4000000000000004],[5.2999999999999998],[5.2999999999999998],[5.2999999999999998],[5],[5],[5.0999999999999996],[5],[5.0999999999999996],[5],[5.0999999999999996],[5.2000000000000002],[5.2000000000000002],[5.2999999999999998],[5.2999999999999998],[5.2999999999999998],[5.2000000000000002],[5.2999999999999998],[5.2000000000000002],[5],[5.2999999999999998],[5.0999999999999996],[5.2000000000000002],[6.2999999999999998],[7],[7.4000000000000004],[7.5],[6.7999999999999998],[6.9000000000000004],[6.9000000000000004],[6.7999999999999998],[6.5999999999999996],[6.4000000000000004],[5.7999999999999998],[5.5999999999999996],[5.4000000000000004],[5.0999999999999996],[5],[4.7000000000000002],[4.5999999999999996],[4.7000000000000002],[5.2000000000000002],[4.5999999999999996],[4.2000000000000002],[4.2000000000000002],[4],[3.8999999999999999],[3.8999999999999999],[3.8999999999999999],[3.5],[3.3999999999999999],[3.5],[3.5]]]
[]
[{"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":"3","axis_max":"8","tick_interval":"0.5","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]Large month-to-month changes occurred during the COVID-19 pandemic, resulting in multiple trend breaks. The ABS recommends caution when using trend estimates published in spreadsheets in this release for this period. Information on trend breaks can be found in Labour Force, Australia methodology, September 2022.
In seasonally adjusted terms, in September 2022, 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 September 2022, the net change in the number of employed people is the result of around 488,000 people entering employment (i.e. they were not employed in August but were employed in September), while around 446,000 people left employment (i.e. they were employed in August but not employed in September). This contrasts with August 2022, where around 469,000 people entered employment and around 450,000 people left employment.
| Employed people growth ('000) | Inflow ('000) | Outflow ('000) | |
|---|---|---|---|
| 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 | 437 | -472 |
| Aug-19 | -29 | 469 | -436 |
| Sep-19 | 68 | 447 | -377 |
| Oct-19 | -26 | 396 | -462 |
| Nov-19 | 95 | 449 | -397 |
| Dec-19 | 102 | 443 | -411 |
| Jan-20 | -266 | 415 | -709 |
| Feb-20 | 221 | 644 | -397 |
| Mar-20 | -48 | 435 | -464 |
| Apr-20 | -592 | 356 | -952 |
| May-20 | -220 | 585 | -783 |
| Jun-20 | 200 | 610 | -422 |
| Jul-20 | 80 | 559 | -437 |
| Aug-20 | 91 | 523 | -495 |
| Sep-20 | 5 | 488 | -437 |
| Oct-20 | 168 | 548 | -411 |
| Nov-20 | 146 | 525 | -356 |
| Dec-20 | 114 | 502 | -391 |
| Jan-21 | -261 | 421 | -664 |
| Feb-21 | 302 | 676 | -355 |
| Mar-21 | 27 | 474 | -415 |
| Apr-21 | -27 | 498 | -480 |
| May-21 | 168 | 509 | -371 |
| Jun-21 | -19 | 422 | -460 |
| Jul-21 | -22 | 499 | -546 |
| Aug-21 | -208 | 460 | -646 |
| Sep-21 | -97 | 520 | -634 |
| Oct-21 | -33 | 538 | -541 |
| Nov-21 | 448 | 839 | -403 |
| Dec-21 | 166 | 537 | -411 |
| Jan-22 | -269 | 440 | -790 |
| Feb-22 | 339 | 726 | -389 |
| Mar-22 | -19 | 456 | -483 |
| Apr-22 | 0 | 563 | -491 |
| May-22 | 113 | 480 | -385 |
| Jun-22 | 16 | 441 | -404 |
| Jul-22 | -53 | 499 | -506 |
| Aug-22 | -45 | 469 | -450 |
| Sep-22 | 24 | 488 | -446 |
Monthly inflows, outflows and employment growth, Original
["","Employed people growth","Inflow","Outflow"]
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[]
[{"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}]| Trend ('000) | Seasonally adjusted ('000) | |
|---|---|---|
| Sep-12 | 11,371.0 | 11,392.2 |
| Oct-12 | 11,381.2 | 11,391.7 |
| Nov-12 | 11,393.8 | 11,385.3 |
| Dec-12 | 11,408.1 | 11,395.8 |
| Jan-13 | 11,422.1 | 11,461.5 |
| Feb-13 | 11,435.6 | 11,465.6 |
| Mar-13 | 11,446.7 | 11,433.9 |
| Apr-13 | 11,454.9 | 11,465.5 |
| May-13 | 11,460.8 | 11,458.5 |
| Jun-13 | 11,465.0 | 11,470.7 |
| Jul-13 | 11,467.4 | 11,457.7 |
| Aug-13 | 11,467.0 | 11,460.3 |
| Sep-13 | 11,463.2 | 11,477.4 |
| Oct-13 | 11,457.7 | 11,471.7 |
| Nov-13 | 11,454.2 | 11,449.4 |
| Dec-13 | 11,455.5 | 11,417.8 |
| Jan-14 | 11,463.7 | 11,454.1 |
| Feb-14 | 11,478.3 | 11,476.2 |
| Mar-14 | 11,497.2 | 11,530.6 |
| Apr-14 | 11,515.8 | 11,535.8 |
| May-14 | 11,530.1 | 11,513.9 |
| Jun-14 | 11,538.8 | 11,529.4 |
| Jul-14 | 11,544.0 | 11,546.4 |
| Aug-14 | 11,548.2 | 11,549.4 |
| Sep-14 | 11,554.2 | 11,549.9 |
| Oct-14 | 11,564.2 | 11,544.4 |
| Nov-14 | 11,578.5 | 11,544.2 |
| Dec-14 | 11,597.4 | 11,596.6 |
| Jan-15 | 11,620.5 | 11,606.1 |
| Feb-15 | 11,645.9 | 11,671.4 |
| Mar-15 | 11,671.3 | 11,691.9 |
| Apr-15 | 11,694.6 | 11,689.8 |
| May-15 | 11,715.8 | 11,734.4 |
| Jun-15 | 11,737.0 | 11,728.7 |
| Jul-15 | 11,760.4 | 11,761.5 |
| Aug-15 | 11,788.0 | 11,772.5 |
| Sep-15 | 11,819.5 | 11,787.7 |
| Oct-15 | 11,851.1 | 11,863.8 |
| Nov-15 | 11,880.7 | 11,896.7 |
| Dec-15 | 11,905.0 | 11,904.3 |
| Jan-16 | 11,922.3 | 11,907.2 |
| Feb-16 | 11,934.8 | 11,922.7 |
| Mar-16 | 11,944.6 | 11,940.3 |
| Apr-16 | 11,954.2 | 11,945.5 |
| May-16 | 11,964.0 | 11,942.5 |
| Jun-16 | 11,972.8 | 11,965.3 |
| Jul-16 | 11,980.6 | 11,996.4 |
| Aug-16 | 11,987.6 | 11,973.5 |
| Sep-16 | 11,993.8 | 11,958.7 |
| Oct-16 | 12,000.5 | 11,990.7 |
| Nov-16 | 12,008.9 | 12,013.8 |
| Dec-16 | 12,020.8 | 12,033.8 |
| Jan-17 | 12,040.1 | 12,050.5 |
| Feb-17 | 12,067.4 | 12,051.5 |
| Mar-17 | 12,102.8 | 12,116.0 |
| Apr-17 | 12,144.7 | 12,167.5 |
| May-17 | 12,188.5 | 12,191.1 |
| Jun-17 | 12,230.8 | 12,228.7 |
| Jul-17 | 12,269.9 | 12,258.2 |
| Aug-17 | 12,305.6 | 12,314.6 |
| Sep-17 | 12,339.2 | 12,352.1 |
| Oct-17 | 12,371.4 | 12,361.2 |
| Nov-17 | 12,402.3 | 12,412.2 |
| Dec-17 | 12,430.0 | 12,447.5 |
| Jan-18 | 12,452.6 | 12,479.0 |
| Feb-18 | 12,469.4 | 12,472.4 |
| Mar-18 | 12,483.7 | 12,488.7 |
| Apr-18 | 12,498.9 | 12,506.2 |
| May-18 | 12,518.5 | 12,499.3 |
| Jun-18 | 12,544.6 | 12,578.7 |
| Jul-18 | 12,575.1 | 12,569.9 |
| Aug-18 | 12,607.5 | 12,618.2 |
| Sep-18 | 12,639.3 | 12,639.9 |
| Oct-18 | 12,667.6 | 12,671.7 |
| Nov-18 | 12,691.1 | 12,702.5 |
| Dec-18 | 12,712.3 | 12,717.2 |
| Jan-19 | 12,734.4 | 12,745.8 |
| Feb-19 | 12,759.3 | 12,743.0 |
| Mar-19 | 12,787.4 | 12,777.2 |
| Apr-19 | 12,818.6 | 12,815.2 |
| May-19 | 12,850.5 | 12,841.9 |
| Jun-19 | 12,879.8 | 12,857.9 |
| Jul-19 | 12,904.0 | 12,879.6 |
| Aug-19 | 12,922.5 | 12,928.3 |
| Sep-19 | 12,936.5 | 12,956.7 |
| Oct-19 | 12,948.8 | 12,920.9 |
| Nov-19 | 12,960.6 | 12,957.8 |
| Dec-19 | 12,971.3 | 12,974.0 |
| Jan-20 | 12,977.9 | 12,980.8 |
| Feb-20 | 12,980.0 | 12,994.0 |
| Mar-20 | 12,978.4 | 12,994.8 |
| Apr-20 | 12,403.3 | |
| May-20 | 12,120.5 | |
| Jun-20 | 12,361.4 | |
| Jul-20 | 12,465.7 | |
| Aug-20 | 12,624.6 | |
| Sep-20 | 12,599.0 | |
| Oct-20 | 12,755.0 | |
| Nov-20 | 12,846.8 | |
| Dec-20 | 12,874.6 | |
| Jan-21 | 12,890.5 | |
| Feb-21 | 12,973.2 | |
| Mar-21 | 13,048.7 | |
| Apr-21 | 13,026.0 | |
| May-21 | 13,122.0 | |
| Jun-21 | 13,153.2 | |
| Jul-21 | 13,154.7 | |
| Aug-21 | 13,020.0 | |
| Sep-21 | 12,899.6 | |
| Oct-21 | 12,851.2 | |
| Nov-21 | 13,241.7 | |
| Dec-21 | 13,311.7 | |
| Jan-22 | 13,331.1 | |
| Feb-22 | 13,436.6 | |
| Mar-22 | 13,472.4 | |
| Apr-22 | 13,511.7 | 13,482.6 |
| May-22 | 13,541.4 | 13,522.0 |
| Jun-22 | 13,562.5 | 13,590.3 |
| Jul-22 | 13,578.5 | 13,553.6 |
| Aug-22 | 13,592.8 | 13,589.9 |
| Sep-22 | 13,608.2 | 13,590.8 |
Employed people
["","Trend","Seasonally adjusted"]
[["Sep-12","Oct-12","Nov-12","Dec-12","Jan-13","Feb-13","Mar-13","Apr-13","May-13","Jun-13","Jul-13","Aug-13","Sep-13","Oct-13","Nov-13","Dec-13","Jan-14","Feb-14","Mar-14","Apr-14","May-14","Jun-14","Jul-14","Aug-14","Sep-14","Oct-14","Nov-14","Dec-14","Jan-15","Feb-15","Mar-15","Apr-15","May-15","Jun-15","Jul-15","Aug-15","Sep-15","Oct-15","Nov-15","Dec-15","Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","Jul-17","Aug-17","Sep-17","Oct-17","Nov-17","Dec-17","Jan-18","Feb-18","Mar-18","Apr-18","May-18","Jun-18","Jul-18","Aug-18","Sep-18","Oct-18","Nov-18","Dec-18","Jan-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20","Jan-21","Feb-21","Mar-21","Apr-21","May-21","Jun-21","Jul-21","Aug-21","Sep-21","Oct-21","Nov-21","Dec-21","Jan-22","Feb-22","Mar-22","Apr-22","May-22","Jun-22","Jul-22","Aug-22","Sep-22"],[[11371],[11381.200000000001],[11393.799999999999],[11408.1],[11422.1],[11435.6],[11446.700000000001],[11454.9],[11460.799999999999],[11465],[11467.4],[11467],[11463.200000000001],[11457.700000000001],[11454.200000000001],[11455.5],[11463.700000000001],[11478.299999999999],[11497.200000000001],[11515.799999999999],[11530.1],[11538.799999999999],[11544],[11548.200000000001],[11554.200000000001],[11564.200000000001],[11578.5],[11597.4],[11620.5],[11645.9],[11671.299999999999],[11694.6],[11715.799999999999],[11737],[11760.4],[11788],[11819.5],[11851.1],[11880.700000000001],[11905],[11922.299999999999],[11934.799999999999],[11944.6],[11954.200000000001],[11964],[11972.799999999999],[11980.6],[11987.6],[11993.799999999999],[12000.5],[12008.9],[12020.799999999999],[12040.1],[12067.4],[12102.799999999999],[12144.700000000001],[12188.5],[12230.799999999999],[12269.9],[12305.6],[12339.200000000001],[12371.4],[12402.299999999999],[12430],[12452.6],[12469.4],[12483.700000000001],[12498.9],[12518.5],[12544.6],[12575.1],[12607.5],[12639.299999999999],[12667.6],[12691.1],[12712.299999999999],[12734.4],[12759.299999999999],[12787.4],[12818.6],[12850.5],[12879.799999999999],[12904],[12922.5],[12936.5],[12948.799999999999],[12960.6],[12971.299999999999],[12977.9],[12980],[12978.4],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[13511.700000000001],[13541.4],[13562.5],[13578.5],[13592.799999999999],[13608.200000000001]],[[11392.200000000001],[11391.700000000001],[11385.299999999999],[11395.799999999999],[11461.5],[11465.6],[11433.9],[11465.5],[11458.5],[11470.700000000001],[11457.700000000001],[11460.299999999999],[11477.4],[11471.700000000001],[11449.4],[11417.799999999999],[11454.1],[11476.200000000001],[11530.6],[11535.799999999999],[11513.9],[11529.4],[11546.4],[11549.4],[11549.9],[11544.4],[11544.200000000001],[11596.6],[11606.1],[11671.4],[11691.9],[11689.799999999999],[11734.4],[11728.700000000001],[11761.5],[11772.5],[11787.700000000001],[11863.799999999999],[11896.700000000001],[11904.299999999999],[11907.200000000001],[11922.700000000001],[11940.299999999999],[11945.5],[11942.5],[11965.299999999999],[11996.4],[11973.5],[11958.700000000001],[11990.700000000001],[12013.799999999999],[12033.799999999999],[12050.5],[12051.5],[12116],[12167.5],[12191.1],[12228.700000000001],[12258.200000000001],[12314.6],[12352.1],[12361.200000000001],[12412.200000000001],[12447.5],[12479],[12472.4],[12488.700000000001],[12506.200000000001],[12499.299999999999],[12578.700000000001],[12569.9],[12618.200000000001],[12639.9],[12671.700000000001],[12702.5],[12717.200000000001],[12745.799999999999],[12743],[12777.200000000001],[12815.200000000001],[12841.9],[12857.9],[12879.6],[12928.299999999999],[12956.700000000001],[12920.9],[12957.799999999999],[12974],[12980.799999999999],[12994],[12994.799999999999],[12403.299999999999],[12120.5],[12361.4],[12465.700000000001],[12624.6],[12599],[12755],[12846.799999999999],[12874.6],[12890.5],[12973.200000000001],[13048.700000000001],[13026],[13122],[13153.200000000001],[13154.700000000001],[13020],[12899.6],[12851.200000000001],[13241.700000000001],[13311.700000000001],[13331.1],[13436.6],[13472.4],[13482.6],[13522],[13590.299999999999],[13553.6],[13589.9],[13590.799999999999]]]
[]
[{"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}]Large month-to-month changes occurred during the COVID-19 pandemic, resulting in multiple trend breaks. The ABS recommends caution when using trend estimates published in spreadsheets in this release for this period. Information on trend breaks can be found in Labour Force, Australia methodology, September 2022.
In seasonally adjusted terms, in September 2022:
In seasonally adjusted terms, in September 2022, the employment-to-population ratio:
The employment-to-population ratio provides a measure of employment relative to the size of the population.
| Trend (%) | Seasonally adjusted (%) | |
|---|---|---|
| Sep-12 | 61.6 | 61.7 |
| Oct-12 | 61.6 | 61.7 |
| Nov-12 | 61.6 | 61.5 |
| Dec-12 | 61.6 | 61.5 |
| Jan-13 | 61.5 | 61.8 |
| Feb-13 | 61.5 | 61.7 |
| Mar-13 | 61.5 | 61.4 |
| Apr-13 | 61.4 | 61.5 |
| May-13 | 61.4 | 61.4 |
| Jun-13 | 61.3 | 61.4 |
| Jul-13 | 61.3 | 61.2 |
| Aug-13 | 61.2 | 61.1 |
| Sep-13 | 61.1 | 61.2 |
| Oct-13 | 61.0 | 61.1 |
| Nov-13 | 60.9 | 60.9 |
| Dec-13 | 60.8 | 60.7 |
| Jan-14 | 60.8 | 60.7 |
| Feb-14 | 60.8 | 60.8 |
| Mar-14 | 60.8 | 60.9 |
| Apr-14 | 60.8 | 60.9 |
| May-14 | 60.8 | 60.7 |
| Jun-14 | 60.8 | 60.8 |
| Jul-14 | 60.8 | 60.8 |
| Aug-14 | 60.7 | 60.7 |
| Sep-14 | 60.7 | 60.6 |
| Oct-14 | 60.7 | 60.5 |
| Nov-14 | 60.7 | 60.5 |
| Dec-14 | 60.7 | 60.7 |
| Jan-15 | 60.7 | 60.6 |
| Feb-15 | 60.8 | 60.9 |
| Mar-15 | 60.8 | 60.9 |
| Apr-15 | 60.9 | 60.8 |
| May-15 | 60.9 | 61.0 |
| Jun-15 | 60.9 | 60.9 |
| Jul-15 | 61.0 | 61.0 |
| Aug-15 | 61.1 | 61.0 |
| Sep-15 | 61.2 | 61.0 |
| Oct-15 | 61.3 | 61.3 |
| Nov-15 | 61.3 | 61.4 |
| Dec-15 | 61.4 | 61.4 |
| Jan-16 | 61.4 | 61.3 |
| Feb-16 | 61.3 | 61.3 |
| Mar-16 | 61.3 | 61.3 |
| Apr-16 | 61.3 | 61.2 |
| May-16 | 61.2 | 61.1 |
| Jun-16 | 61.2 | 61.2 |
| Jul-16 | 61.2 | 61.3 |
| Aug-16 | 61.1 | 61.0 |
| Sep-16 | 61.1 | 60.9 |
| Oct-16 | 61.0 | 61.0 |
| Nov-16 | 61.0 | 61.0 |
| Dec-16 | 60.9 | 61.0 |
| Jan-17 | 60.9 | 61.0 |
| Feb-17 | 61.0 | 60.9 |
| Mar-17 | 61.1 | 61.1 |
| Apr-17 | 61.2 | 61.3 |
| May-17 | 61.3 | 61.3 |
| Jun-17 | 61.4 | 61.4 |
| Jul-17 | 61.6 | 61.5 |
| Aug-17 | 61.7 | 61.7 |
| Sep-17 | 61.8 | 61.8 |
| Oct-17 | 61.8 | 61.8 |
| Nov-17 | 61.9 | 62.0 |
| Dec-17 | 62.0 | 62.1 |
| Jan-18 | 62.0 | 62.1 |
| Feb-18 | 62.0 | 62.0 |
| Mar-18 | 62.0 | 62.0 |
| Apr-18 | 61.9 | 62.0 |
| May-18 | 62.0 | 61.9 |
| Jun-18 | 62.0 | 62.2 |
| Jul-18 | 62.1 | 62.0 |
| Aug-18 | 62.1 | 62.2 |
| Sep-18 | 62.2 | 62.2 |
| Oct-18 | 62.3 | 62.3 |
| Nov-18 | 62.3 | 62.4 |
| Dec-18 | 62.3 | 62.4 |
| Jan-19 | 62.3 | 62.4 |
| Feb-19 | 62.4 | 62.3 |
| Mar-19 | 62.4 | 62.3 |
| Apr-19 | 62.5 | 62.5 |
| May-19 | 62.6 | 62.5 |
| Jun-19 | 62.6 | 62.5 |
| Jul-19 | 62.7 | 62.5 |
| Aug-19 | 62.7 | 62.7 |
| Sep-19 | 62.6 | 62.7 |
| Oct-19 | 62.6 | 62.5 |
| Nov-19 | 62.6 | 62.6 |
| Dec-19 | 62.5 | 62.6 |
| Jan-20 | 62.5 | 62.5 |
| Feb-20 | 62.4 | 62.5 |
| Mar-20 | 62.3 | 62.4 |
| Apr-20 | 59.5 | |
| May-20 | 58.1 | |
| Jun-20 | 59.3 | |
| Jul-20 | 59.8 | |
| Aug-20 | 60.6 | |
| Sep-20 | 60.4 | |
| Oct-20 | 61.2 | |
| Nov-20 | 61.6 | |
| Dec-20 | 61.7 | |
| Jan-21 | 61.8 | |
| Feb-21 | 62.2 | |
| Mar-21 | 62.5 | |
| Apr-21 | 62.4 | |
| May-21 | 62.8 | |
| Jun-21 | 62.9 | |
| Jul-21 | 62.9 | |
| Aug-21 | 62.3 | |
| Sep-21 | 61.7 | |
| Oct-21 | 61.4 | |
| Nov-21 | 63.2 | |
| Dec-21 | 63.4 | |
| Jan-22 | 63.4 | |
| Feb-22 | 63.8 | |
| Mar-22 | 63.8 | |
| Apr-22 | 64.1 | 63.9 |
| May-22 | 64.1 | 64.1 |
| Jun-22 | 64.2 | 64.4 |
| Jul-22 | 64.3 | 64.1 |
| Aug-22 | 64.3 | 64.3 |
| Sep-22 | 64.3 | 64.2 |
Employment-to-population ratio
["","Trend","Seasonally adjusted"]
[["Sep-12","Oct-12","Nov-12","Dec-12","Jan-13","Feb-13","Mar-13","Apr-13","May-13","Jun-13","Jul-13","Aug-13","Sep-13","Oct-13","Nov-13","Dec-13","Jan-14","Feb-14","Mar-14","Apr-14","May-14","Jun-14","Jul-14","Aug-14","Sep-14","Oct-14","Nov-14","Dec-14","Jan-15","Feb-15","Mar-15","Apr-15","May-15","Jun-15","Jul-15","Aug-15","Sep-15","Oct-15","Nov-15","Dec-15","Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","Jul-17","Aug-17","Sep-17","Oct-17","Nov-17","Dec-17","Jan-18","Feb-18","Mar-18","Apr-18","May-18","Jun-18","Jul-18","Aug-18","Sep-18","Oct-18","Nov-18","Dec-18","Jan-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20","Jan-21","Feb-21","Mar-21","Apr-21","May-21","Jun-21","Jul-21","Aug-21","Sep-21","Oct-21","Nov-21","Dec-21","Jan-22","Feb-22","Mar-22","Apr-22","May-22","Jun-22","Jul-22","Aug-22","Sep-22"],[[61.600000000000001],[61.600000000000001],[61.600000000000001],[61.600000000000001],[61.5],[61.5],[61.5],[61.399999999999999],[61.399999999999999],[61.299999999999997],[61.299999999999997],[61.200000000000003],[61.100000000000001],[61],[60.899999999999999],[60.799999999999997],[60.799999999999997],[60.799999999999997],[60.799999999999997],[60.799999999999997],[60.799999999999997],[60.799999999999997],[60.799999999999997],[60.700000000000003],[60.700000000000003],[60.700000000000003],[60.700000000000003],[60.700000000000003],[60.700000000000003],[60.799999999999997],[60.799999999999997],[60.899999999999999],[60.899999999999999],[60.899999999999999],[61],[61.100000000000001],[61.200000000000003],[61.299999999999997],[61.299999999999997],[61.399999999999999],[61.399999999999999],[61.299999999999997],[61.299999999999997],[61.299999999999997],[61.200000000000003],[61.200000000000003],[61.200000000000003],[61.100000000000001],[61.100000000000001],[61],[61],[60.899999999999999],[60.899999999999999],[61],[61.100000000000001],[61.200000000000003],[61.299999999999997],[61.399999999999999],[61.600000000000001],[61.700000000000003],[61.799999999999997],[61.799999999999997],[61.899999999999999],[62],[62],[62],[62],[61.899999999999999],[62],[62],[62.100000000000001],[62.100000000000001],[62.200000000000003],[62.299999999999997],[62.299999999999997],[62.299999999999997],[62.299999999999997],[62.399999999999999],[62.399999999999999],[62.5],[62.600000000000001],[62.600000000000001],[62.700000000000003],[62.700000000000003],[62.600000000000001],[62.600000000000001],[62.600000000000001],[62.5],[62.5],[62.399999999999999],[62.299999999999997],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[64.099999999999994],[64.099999999999994],[64.200000000000003],[64.299999999999997],[64.299999999999997],[64.299999999999997]],[[61.700000000000003],[61.700000000000003],[61.5],[61.5],[61.799999999999997],[61.700000000000003],[61.399999999999999],[61.5],[61.399999999999999],[61.399999999999999],[61.200000000000003],[61.100000000000001],[61.200000000000003],[61.100000000000001],[60.899999999999999],[60.700000000000003],[60.700000000000003],[60.799999999999997],[60.899999999999999],[60.899999999999999],[60.700000000000003],[60.799999999999997],[60.799999999999997],[60.700000000000003],[60.600000000000001],[60.5],[60.5],[60.700000000000003],[60.600000000000001],[60.899999999999999],[60.899999999999999],[60.799999999999997],[61],[60.899999999999999],[61],[61],[61],[61.299999999999997],[61.399999999999999],[61.399999999999999],[61.299999999999997],[61.299999999999997],[61.299999999999997],[61.200000000000003],[61.100000000000001],[61.200000000000003],[61.299999999999997],[61],[60.899999999999999],[61],[61],[61],[61],[60.899999999999999],[61.100000000000001],[61.299999999999997],[61.299999999999997],[61.399999999999999],[61.5],[61.700000000000003],[61.799999999999997],[61.799999999999997],[62],[62.100000000000001],[62.100000000000001],[62],[62],[62],[61.899999999999999],[62.200000000000003],[62],[62.200000000000003],[62.200000000000003],[62.299999999999997],[62.399999999999999],[62.399999999999999],[62.399999999999999],[62.299999999999997],[62.299999999999997],[62.5],[62.5],[62.5],[62.5],[62.700000000000003],[62.700000000000003],[62.5],[62.600000000000001],[62.600000000000001],[62.5],[62.5],[62.399999999999999],[59.5],[58.100000000000001],[59.299999999999997],[59.799999999999997],[60.600000000000001],[60.399999999999999],[61.200000000000003],[61.600000000000001],[61.700000000000003],[61.799999999999997],[62.200000000000003],[62.5],[62.399999999999999],[62.799999999999997],[62.899999999999999],[62.899999999999999],[62.299999999999997],[61.700000000000003],[61.399999999999999],[63.200000000000003],[63.399999999999999],[63.399999999999999],[63.799999999999997],[63.799999999999997],[63.899999999999999],[64.099999999999994],[64.400000000000006],[64.099999999999994],[64.299999999999997],[64.200000000000003]]]
[]
[{"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":null,"axis_max":null,"tick_interval":null,"precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]Large month-to-month changes occurred during the COVID-19 pandemic, resulting in multiple trend breaks. The ABS recommends caution when using trend estimates published in spreadsheets in this release for this period. Information on trend breaks can be found in Labour Force, Australia methodology, September 2022.
| People (%) | Males (%) | Females (%) | |
|---|---|---|---|
| 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 | 55.7 |
| Mar-13 | 61.4 | 67.4 | 55.6 |
| Apr-13 | 61.5 | 67.5 | 55.7 |
| May-13 | 61.4 | 67.5 | 55.4 |
| Jun-13 | 61.4 | 67.5 | 55.4 |
| Jul-13 | 61.2 | 67.2 | 55.4 |
| Aug-13 | 61.1 | 67.1 | 55.3 |
| Sep-13 | 61.2 | 67.1 | 55.4 |
| Oct-13 | 61.1 | 67.0 | 55.3 |
| Nov-13 | 60.9 | 66.8 | 55.1 |
| Dec-13 | 60.7 | 66.6 | 54.9 |
| Jan-14 | 60.7 | 66.7 | 55.0 |
| Feb-14 | 60.8 | 66.6 | 55.1 |
| Mar-14 | 60.9 | 66.9 | 55.2 |
| Apr-14 | 60.9 | 66.9 | 55.1 |
| May-14 | 60.7 | 66.6 | 55.1 |
| Jun-14 | 60.8 | 66.6 | 55.1 |
| Jul-14 | 60.8 | 66.6 | 55.1 |
| Aug-14 | 60.7 | 66.6 | 55.0 |
| Sep-14 | 60.6 | 66.5 | 55.0 |
| Oct-14 | 60.5 | 66.4 | 54.9 |
| Nov-14 | 60.5 | 66.6 | 54.6 |
| Dec-14 | 60.7 | 66.6 | 55.0 |
| Jan-15 | 60.6 | 66.5 | 54.9 |
| Feb-15 | 60.9 | 66.8 | 55.2 |
| Mar-15 | 60.9 | 66.9 | 55.1 |
| Apr-15 | 60.8 | 66.7 | 55.2 |
| May-15 | 61.0 | 66.8 | 55.4 |
| Jun-15 | 60.9 | 66.6 | 55.4 |
| Jul-15 | 61.0 | 66.8 | 55.4 |
| Aug-15 | 61.0 | 66.6 | 55.6 |
| Sep-15 | 61.0 | 66.6 | 55.6 |
| Oct-15 | 61.3 | 66.9 | 55.9 |
| Nov-15 | 61.4 | 66.9 | 56.1 |
| Dec-15 | 61.4 | 66.9 | 56.0 |
| Jan-16 | 61.3 | 67.0 | 55.8 |
| Feb-16 | 61.3 | 66.8 | 56.0 |
| Mar-16 | 61.3 | 66.8 | 56.0 |
| Apr-16 | 61.2 | 66.6 | 56.1 |
| May-16 | 61.1 | 66.6 | 55.9 |
| Jun-16 | 61.2 | 66.6 | 56.0 |
| Jul-16 | 61.3 | 66.7 | 56.0 |
| Aug-16 | 61.0 | 66.5 | 55.8 |
| Sep-16 | 60.9 | 66.2 | 55.8 |
| Oct-16 | 61.0 | 66.4 | 55.7 |
| Nov-16 | 61.0 | 66.4 | 55.8 |
| Dec-16 | 61.0 | 66.4 | 55.8 |
| Jan-17 | 61.0 | 66.3 | 55.9 |
| Feb-17 | 60.9 | 66.3 | 55.7 |
| Mar-17 | 61.1 | 66.4 | 55.9 |
| Apr-17 | 61.3 | 66.8 | 55.9 |
| May-17 | 61.3 | 66.7 | 56.2 |
| Jun-17 | 61.4 | 66.7 | 56.4 |
| Jul-17 | 61.5 | 66.9 | 56.3 |
| Aug-17 | 61.7 | 66.9 | 56.7 |
| Sep-17 | 61.8 | 66.9 | 56.9 |
| Oct-17 | 61.8 | 66.9 | 56.8 |
| Nov-17 | 62.0 | 67.1 | 57.0 |
| Dec-17 | 62.1 | 67.1 | 57.3 |
| Jan-18 | 62.1 | 67.3 | 57.1 |
| Feb-18 | 62.0 | 67.0 | 57.1 |
| Mar-18 | 62.0 | 66.9 | 57.2 |
| Apr-18 | 62.0 | 66.9 | 57.2 |
| May-18 | 61.9 | 66.9 | 57.0 |
| Jun-18 | 62.2 | 67.1 | 57.5 |
| Jul-18 | 62.0 | 67.2 | 57.1 |
| Aug-18 | 62.2 | 67.4 | 57.2 |
| Sep-18 | 62.2 | 67.4 | 57.2 |
| Oct-18 | 62.3 | 67.3 | 57.4 |
| Nov-18 | 62.4 | 67.4 | 57.5 |
| Dec-18 | 62.4 | 67.4 | 57.5 |
| Jan-19 | 62.4 | 67.5 | 57.5 |
| Feb-19 | 62.3 | 67.2 | 57.5 |
| Mar-19 | 62.3 | 67.3 | 57.5 |
| Apr-19 | 62.5 | 67.2 | 57.9 |
| May-19 | 62.5 | 67.7 | 57.5 |
| Jun-19 | 62.5 | 67.6 | 57.6 |
| Jul-19 | 62.5 | 67.6 | 57.7 |
| Aug-19 | 62.7 | 67.5 | 58.0 |
| Sep-19 | 62.7 | 67.4 | 58.3 |
| Oct-19 | 62.5 | 67.1 | 58.1 |
| Nov-19 | 62.6 | 67.2 | 58.1 |
| Dec-19 | 62.6 | 67.2 | 58.2 |
| Jan-20 | 62.5 | 66.9 | 58.2 |
| Feb-20 | 62.5 | 67.0 | 58.1 |
| Mar-20 | 62.4 | 66.9 | 58.0 |
| Apr-20 | 59.5 | 64.2 | 55.0 |
| May-20 | 58.1 | 63.0 | 53.4 |
| Jun-20 | 59.3 | 64.0 | 54.7 |
| Jul-20 | 59.8 | 64.5 | 55.2 |
| Aug-20 | 60.6 | 65.0 | 56.2 |
| Sep-20 | 60.4 | 64.8 | 56.2 |
| Oct-20 | 61.2 | 65.9 | 56.6 |
| Nov-20 | 61.6 | 66.4 | 57.0 |
| Dec-20 | 61.7 | 66.2 | 57.4 |
| Jan-21 | 61.8 | 66.5 | 57.3 |
| Feb-21 | 62.2 | 66.6 | 57.9 |
| Mar-21 | 62.5 | 66.7 | 58.5 |
| Apr-21 | 62.4 | 66.7 | 58.2 |
| May-21 | 62.8 | 67.0 | 58.7 |
| Jun-21 | 62.9 | 67.4 | 58.6 |
| Jul-21 | 62.9 | 67.5 | 58.5 |
| Aug-21 | 62.3 | 66.8 | 57.9 |
| Sep-21 | 61.7 | 66.2 | 57.3 |
| Oct-21 | 61.4 | 66.1 | 56.8 |
| Nov-21 | 63.2 | 67.6 | 58.9 |
| Dec-21 | 63.4 | 67.9 | 59.1 |
| Jan-22 | 63.4 | 67.5 | 59.5 |
| Feb-22 | 63.8 | 67.8 | 59.9 |
| Mar-22 | 63.8 | 67.9 | 59.9 |
| Apr-22 | 63.9 | 68.0 | 59.9 |
| May-22 | 64.1 | 68.4 | 59.9 |
| Jun-22 | 64.4 | 68.6 | 60.3 |
| Jul-22 | 64.1 | 68.4 | 60.0 |
| Aug-22 | 64.3 | 68.5 | 60.2 |
| Sep-22 | 64.2 | 68.5 | 60.1 |
Employment-to-population ratio, Seasonally adjusted
["","People","Males","Females"]
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[]
[{"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":null,"axis_max":null,"tick_interval":null,"precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]In seasonally adjusted terms, in September 2022, monthly hours worked in all jobs:
See the article Insights into hours worked for more.
| Trend (m) | Seasonally adjusted (m) | |
|---|---|---|
| Sep-12 | 1,592.4 | 1,598.8 |
| Oct-12 | 1,595.0 | 1,587.9 |
| Nov-12 | 1,597.7 | 1,601.1 |
| Dec-12 | 1,599.8 | 1,603.4 |
| Jan-13 | 1,601.0 | 1,602.0 |
| Feb-13 | 1,602.0 | 1,603.8 |
| Mar-13 | 1,603.3 | 1,597.1 |
| Apr-13 | 1,605.2 | 1,611.5 |
| May-13 | 1,607.5 | 1,605.8 |
| Jun-13 | 1,609.8 | 1,605.5 |
| Jul-13 | 1,611.1 | 1,615.9 |
| Aug-13 | 1,610.8 | 1,620.4 |
| Sep-13 | 1,609.5 | 1,608.2 |
| Oct-13 | 1,608.0 | 1,605.5 |
| Nov-13 | 1,607.0 | 1,604.8 |
| Dec-13 | 1,606.4 | 1,605.5 |
| Jan-14 | 1,606.4 | 1,598.7 |
| Feb-14 | 1,607.3 | 1,607.0 |
| Mar-14 | 1,608.9 | 1,614.1 |
| Apr-14 | 1,610.9 | 1,603.3 |
| May-14 | 1,613.1 | 1,611.8 |
| Jun-14 | 1,615.0 | 1,618.6 |
| Jul-14 | 1,615.9 | 1,616.6 |
| Aug-14 | 1,615.7 | 1,617.0 |
| Sep-14 | 1,615.1 | 1,612.4 |
| Oct-14 | 1,615.0 | 1,612.5 |
| Nov-14 | 1,616.6 | 1,613.7 |
| Dec-14 | 1,620.2 | 1,601.3 |
| Jan-15 | 1,625.0 | 1,630.3 |
| Feb-15 | 1,629.6 | 1,628.3 |
| Mar-15 | 1,633.0 | 1,636.6 |
| Apr-15 | 1,634.9 | 1,638.3 |
| May-15 | 1,636.0 | 1,636.6 |
| Jun-15 | 1,637.6 | 1,634.1 |
| Jul-15 | 1,640.0 | 1,640.5 |
| Aug-15 | 1,643.2 | 1,638.1 |
| Sep-15 | 1,647.2 | 1,649.2 |
| Oct-15 | 1,651.3 | 1,656.5 |
| Nov-15 | 1,654.9 | 1,654.2 |
| Dec-15 | 1,657.2 | 1,651.3 |
| Jan-16 | 1,658.0 | 1,661.4 |
| Feb-16 | 1,657.7 | 1,663.7 |
| Mar-16 | 1,657.1 | 1,655.6 |
| Apr-16 | 1,656.6 | 1,632.0 |
| May-16 | 1,656.5 | 1,664.5 |
| Jun-16 | 1,657.1 | 1,657.3 |
| Jul-16 | 1,658.7 | 1,662.3 |
| Aug-16 | 1,661.1 | 1,664.6 |
| Sep-16 | 1,663.6 | 1,660.5 |
| Oct-16 | 1,666.2 | 1,665.5 |
| Nov-16 | 1,668.6 | 1,667.9 |
| Dec-16 | 1,670.7 | 1,674.5 |
| Jan-17 | 1,672.9 | 1,695.6 |
| Feb-17 | 1,675.7 | 1,663.3 |
| Mar-17 | 1,679.5 | 1,679.8 |
| Apr-17 | 1,684.4 | 1,664.7 |
| May-17 | 1,690.1 | 1,713.5 |
| Jun-17 | 1,696.1 | 1,708.7 |
| Jul-17 | 1,702.3 | 1,700.1 |
| Aug-17 | 1,708.1 | 1,704.9 |
| Sep-17 | 1,713.1 | 1,712.6 |
| Oct-17 | 1,717.2 | 1,716.7 |
| Nov-17 | 1,720.2 | 1,729.9 |
| Dec-17 | 1,722.4 | 1,721.6 |
| Jan-18 | 1,723.9 | 1,701.5 |
| Feb-18 | 1,725.4 | 1,723.8 |
| Mar-18 | 1,727.8 | 1,726.8 |
| Apr-18 | 1,731.1 | 1,742.9 |
| May-18 | 1,735.0 | 1,731.8 |
| Jun-18 | 1,739.2 | 1,743.0 |
| Jul-18 | 1,742.9 | 1,744.7 |
| Aug-18 | 1,746.2 | 1,743.3 |
| Sep-18 | 1,748.9 | 1,747.8 |
| Oct-18 | 1,751.4 | 1,755.9 |
| Nov-18 | 1,754.5 | 1,753.0 |
| Dec-18 | 1,758.1 | 1,749.2 |
| Jan-19 | 1,761.9 | 1,762.5 |
| Feb-19 | 1,765.2 | 1,764.7 |
| Mar-19 | 1,767.8 | 1,777.6 |
| Apr-19 | 1,769.7 | 1,769.8 |
| May-19 | 1,771.1 | 1,766.7 |
| Jun-19 | 1,772.1 | 1,769.5 |
| Jul-19 | 1,773.4 | 1,775.0 |
| Aug-19 | 1,775.2 | 1,776.7 |
| Sep-19 | 1,777.1 | 1,780.2 |
| Oct-19 | 1,778.6 | 1,775.4 |
| Nov-19 | 1,778.8 | 1,776.4 |
| Dec-19 | 1,777.5 | 1,784.4 |
| Jan-20 | 1,774.7 | 1,776.2 |
| Feb-20 | 1,771.6 | 1,772.8 |
| Mar-20 | 1,770.4 | 1,767.4 |
| Apr-20 | 1,587.6 | |
| May-20 | 1,604.7 | |
| Jun-20 | 1,667.8 | |
| Jul-20 | 1,688.4 | |
| Aug-20 | 1,689.3 | |
| Sep-20 | 1,690.7 | |
| Oct-20 | 1,729.5 | |
| Nov-20 | 1,754.6 | |
| Dec-20 | 1,752.2 | |
| Jan-21 | 1,671.5 | |
| Feb-21 | 1,767.0 | |
| Mar-21 | 1,806.4 | |
| Apr-21 | 1,783.1 | |
| May-21 | 1,812.2 | |
| Jun-21 | 1,785.9 | |
| Jul-21 | 1,786.9 | |
| Aug-21 | 1,709.0 | |
| Sep-21 | 1,729.9 | |
| Oct-21 | 1,733.2 | |
| Nov-21 | 1,806.9 | |
| Dec-21 | 1,825.7 | |
| Jan-22 | 1,675.2 | |
| Feb-22 | 1,826.0 | |
| Mar-22 | 1,818.8 | |
| Apr-22 | 1,839.0 | 1,841.1 |
| May-22 | 1,844.1 | 1,850.2 |
| Jun-22 | 1,848.8 | 1,853.8 |
| Jul-22 | 1,852.8 | 1,847.0 |
| Aug-22 | 1,856.2 | 1,854.1 |
| Sep-22 | 1,858.8 | 1,853.5 |
Monthly hours worked in all jobs
["","Trend","Seasonally adjusted"]
[["Sep-12","Oct-12","Nov-12","Dec-12","Jan-13","Feb-13","Mar-13","Apr-13","May-13","Jun-13","Jul-13","Aug-13","Sep-13","Oct-13","Nov-13","Dec-13","Jan-14","Feb-14","Mar-14","Apr-14","May-14","Jun-14","Jul-14","Aug-14","Sep-14","Oct-14","Nov-14","Dec-14","Jan-15","Feb-15","Mar-15","Apr-15","May-15","Jun-15","Jul-15","Aug-15","Sep-15","Oct-15","Nov-15","Dec-15","Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","Jul-17","Aug-17","Sep-17","Oct-17","Nov-17","Dec-17","Jan-18","Feb-18","Mar-18","Apr-18","May-18","Jun-18","Jul-18","Aug-18","Sep-18","Oct-18","Nov-18","Dec-18","Jan-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20","Jan-21","Feb-21","Mar-21","Apr-21","May-21","Jun-21","Jul-21","Aug-21","Sep-21","Oct-21","Nov-21","Dec-21","Jan-22","Feb-22","Mar-22","Apr-22","May-22","Jun-22","Jul-22","Aug-22","Sep-22"],[[1592.4000000000001],[1595],[1597.7],[1599.8],[1601],[1602],[1603.3],[1605.2],[1607.5],[1609.8],[1611.0999999999999],[1610.8],[1609.5],[1608],[1607],[1606.4000000000001],[1606.4000000000001],[1607.3],[1608.9000000000001],[1610.9000000000001],[1613.0999999999999],[1615],[1615.9000000000001],[1615.7],[1615.0999999999999],[1615],[1616.5999999999999],[1620.2],[1625],[1629.5999999999999],[1633],[1634.9000000000001],[1636],[1637.5999999999999],[1640],[1643.2],[1647.2],[1651.3],[1654.9000000000001],[1657.2],[1658],[1657.7],[1657.0999999999999],[1656.5999999999999],[1656.5],[1657.0999999999999],[1658.7],[1661.0999999999999],[1663.5999999999999],[1666.2],[1668.5999999999999],[1670.7],[1672.9000000000001],[1675.7],[1679.5],[1684.4000000000001],[1690.0999999999999],[1696.0999999999999],[1702.3],[1708.0999999999999],[1713.0999999999999],[1717.2],[1720.2],[1722.4000000000001],[1723.9000000000001],[1725.4000000000001],[1727.8],[1731.0999999999999],[1735],[1739.2],[1742.9000000000001],[1746.2],[1748.9000000000001],[1751.4000000000001],[1754.5],[1758.0999999999999],[1761.9000000000001],[1765.2],[1767.8],[1769.7],[1771.0999999999999],[1772.0999999999999],[1773.4000000000001],[1775.2],[1777.0999999999999],[1778.5999999999999],[1778.8],[1777.5],[1774.7],[1771.5999999999999],[1770.4000000000001],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[1839],[1844.0999999999999],[1848.8],[1852.8],[1856.2],[1858.8]],[[1598.8],[1587.9000000000001],[1601.0999999999999],[1603.4000000000001],[1602],[1603.8],[1597.0999999999999],[1611.5],[1605.8],[1605.5],[1615.9000000000001],[1620.4000000000001],[1608.2],[1605.5],[1604.8],[1605.5],[1598.7],[1607],[1614.0999999999999],[1603.3],[1611.8],[1618.5999999999999],[1616.5999999999999],[1617],[1612.4000000000001],[1612.5],[1613.7],[1601.3],[1630.3],[1628.3],[1636.5999999999999],[1638.3],[1636.5999999999999],[1634.0999999999999],[1640.5],[1638.0999999999999],[1649.2],[1656.5],[1654.2],[1651.3],[1661.4000000000001],[1663.7],[1655.5999999999999],[1632],[1664.5],[1657.3],[1662.3],[1664.5999999999999],[1660.5],[1665.5],[1667.9000000000001],[1674.5],[1695.5999999999999],[1663.3],[1679.8],[1664.7],[1713.5],[1708.7],[1700.0999999999999],[1704.9000000000001],[1712.5999999999999],[1716.7],[1729.9000000000001],[1721.5999999999999],[1701.5],[1723.8],[1726.8],[1742.9000000000001],[1731.8],[1743],[1744.7],[1743.3],[1747.8],[1755.9000000000001],[1753],[1749.2],[1762.5],[1764.7],[1777.5999999999999],[1769.8],[1766.7],[1769.5],[1775],[1776.7],[1780.2],[1775.4000000000001],[1776.4000000000001],[1784.4000000000001],[1776.2],[1772.8],[1767.4000000000001],[1587.5999999999999],[1604.7],[1667.8],[1688.4000000000001],[1689.3],[1690.7],[1729.5],[1754.5999999999999],[1752.2],[1671.5],[1767],[1806.4000000000001],[1783.0999999999999],[1812.2],[1785.9000000000001],[1786.9000000000001],[1709],[1729.9000000000001],[1733.2],[1806.9000000000001],[1825.7],[1675.2],[1826],[1818.8],[1841.0999999999999],[1850.2],[1853.8],[1847],[1854.0999999999999],[1853.5]]]
[]
[{"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":"Millions","axis_units":"","tooltip_units":"(m)","table_units":"(m)","axis_min":"1500","axis_max":"1950","tick_interval":"50","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]Large month-to-month changes occurred during the COVID-19 pandemic, resulting in multiple trend breaks. The ABS recommends caution when using trend estimates published in spreadsheets in this release for this period. Information on trend breaks can be found in Labour Force, Australia methodology, September 2022.
| Hours worked (m) | Yearly change (%) | |
|---|---|---|
| Sep-12 | 1,599 | 1.0 |
| Oct-12 | 1,588 | -0.4 |
| Nov-12 | 1,601 | 0.9 |
| Dec-12 | 1,603 | 1.0 |
| Jan-13 | 1,602 | 0.7 |
| Feb-13 | 1,604 | 1.0 |
| Mar-13 | 1,597 | 0.1 |
| Apr-13 | 1,611 | 0.8 |
| May-13 | 1,606 | 0 |
| Jun-13 | 1,605 | 1.7 |
| Jul-13 | 1,616 | 1.7 |
| Aug-13 | 1,620 | 2.0 |
| Sep-13 | 1,608 | 0.6 |
| Oct-13 | 1,606 | 1.1 |
| Nov-13 | 1,605 | 0.2 |
| Dec-13 | 1,605 | 0.1 |
| Jan-14 | 1,599 | -0.2 |
| Feb-14 | 1,607 | 0.2 |
| Mar-14 | 1,614 | 1.1 |
| Apr-14 | 1,603 | -0.5 |
| May-14 | 1,612 | 0.4 |
| Jun-14 | 1,619 | 0.8 |
| Jul-14 | 1,617 | 0 |
| Aug-14 | 1,617 | -0.2 |
| Sep-14 | 1,612 | 0.3 |
| Oct-14 | 1,613 | 0.4 |
| Nov-14 | 1,614 | 0.6 |
| Dec-14 | 1,601 | -0.3 |
| Jan-15 | 1,630 | 2.0 |
| Feb-15 | 1,628 | 1.3 |
| Mar-15 | 1,637 | 1.4 |
| Apr-15 | 1,638 | 2.2 |
| May-15 | 1,637 | 1.5 |
| Jun-15 | 1,634 | 1.0 |
| Jul-15 | 1,641 | 1.5 |
| Aug-15 | 1,638 | 1.3 |
| Sep-15 | 1,649 | 2.3 |
| Oct-15 | 1,657 | 2.7 |
| Nov-15 | 1,654 | 2.5 |
| Dec-15 | 1,651 | 3.1 |
| Jan-16 | 1,661 | 1.9 |
| Feb-16 | 1,664 | 2.2 |
| Mar-16 | 1,656 | 1.2 |
| Apr-16 | 1,632 | -0.4 |
| May-16 | 1,664 | 1.7 |
| Jun-16 | 1,657 | 1.4 |
| Jul-16 | 1,662 | 1.3 |
| Aug-16 | 1,665 | 1.6 |
| Sep-16 | 1,660 | 0.7 |
| Oct-16 | 1,665 | 0.5 |
| Nov-16 | 1,668 | 0.8 |
| Dec-16 | 1,675 | 1.4 |
| Jan-17 | 1,696 | 2.1 |
| Feb-17 | 1,663 | 0 |
| Mar-17 | 1,680 | 1.5 |
| Apr-17 | 1,665 | 2.0 |
| May-17 | 1,713 | 2.9 |
| Jun-17 | 1,709 | 3.1 |
| Jul-17 | 1,700 | 2.3 |
| Aug-17 | 1,705 | 2.4 |
| Sep-17 | 1,713 | 3.1 |
| Oct-17 | 1,717 | 3.1 |
| Nov-17 | 1,730 | 3.7 |
| Dec-17 | 1,722 | 2.8 |
| Jan-18 | 1,701 | 0.3 |
| Feb-18 | 1,724 | 3.6 |
| Mar-18 | 1,727 | 2.8 |
| Apr-18 | 1,743 | 4.7 |
| May-18 | 1,732 | 1.1 |
| Jun-18 | 1,743 | 2.0 |
| Jul-18 | 1,745 | 2.6 |
| Aug-18 | 1,743 | 2.3 |
| Sep-18 | 1,748 | 2.1 |
| Oct-18 | 1,756 | 2.3 |
| Nov-18 | 1,753 | 1.3 |
| Dec-18 | 1,749 | 1.6 |
| Jan-19 | 1,763 | 3.6 |
| Feb-19 | 1,765 | 2.4 |
| Mar-19 | 1,778 | 2.9 |
| Apr-19 | 1,770 | 1.5 |
| May-19 | 1,767 | 2.0 |
| Jun-19 | 1,770 | 1.5 |
| Jul-19 | 1,775 | 1.7 |
| Aug-19 | 1,777 | 1.9 |
| Sep-19 | 1,780 | 1.9 |
| Oct-19 | 1,775 | 1.1 |
| Nov-19 | 1,776 | 1.3 |
| Dec-19 | 1,784 | 2.0 |
| Jan-20 | 1,776 | 0.8 |
| Feb-20 | 1,773 | 0.5 |
| Mar-20 | 1,767 | -0.6 |
| Apr-20 | 1,588 | -10.3 |
| May-20 | 1,605 | -9.2 |
| Jun-20 | 1,668 | -5.7 |
| Jul-20 | 1,688 | -4.9 |
| Aug-20 | 1,689 | -4.9 |
| Sep-20 | 1,691 | -5.0 |
| Oct-20 | 1,730 | -2.6 |
| Nov-20 | 1,755 | -1.2 |
| Dec-20 | 1,752 | -1.8 |
| Jan-21 | 1,672 | -5.9 |
| Feb-21 | 1,767 | -0.3 |
| Mar-21 | 1,806 | 2.2 |
| Apr-21 | 1,783 | 12.3 |
| May-21 | 1,812 | 12.9 |
| Jun-21 | 1,786 | 7.1 |
| Jul-21 | 1,787 | 5.8 |
| Aug-21 | 1,709 | 1.2 |
| Sep-21 | 1,730 | 2.3 |
| Oct-21 | 1,733 | 0.2 |
| Nov-21 | 1,807 | 3.0 |
| Dec-21 | 1,826 | 4.2 |
| Jan-22 | 1,675 | 0.2 |
| Feb-22 | 1,826 | 3.3 |
| Mar-22 | 1,819 | 0.7 |
| Apr-22 | 1,841 | 3.3 |
| May-22 | 1,850 | 2.1 |
| Jun-22 | 1,854 | 3.8 |
| Jul-22 | 1,847 | 3.4 |
| Aug-22 | 1,854 | 8.5 |
| Sep-22 | 1,853 | 7.1 |
Monthly hours worked in all jobs, Seasonally adjusted
["","Hours worked (m)","Yearly change (%)"]
[["Sep-12","Oct-12","Nov-12","Dec-12","Jan-13","Feb-13","Mar-13","Apr-13","May-13","Jun-13","Jul-13","Aug-13","Sep-13","Oct-13","Nov-13","Dec-13","Jan-14","Feb-14","Mar-14","Apr-14","May-14","Jun-14","Jul-14","Aug-14","Sep-14","Oct-14","Nov-14","Dec-14","Jan-15","Feb-15","Mar-15","Apr-15","May-15","Jun-15","Jul-15","Aug-15","Sep-15","Oct-15","Nov-15","Dec-15","Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","Jul-17","Aug-17","Sep-17","Oct-17","Nov-17","Dec-17","Jan-18","Feb-18","Mar-18","Apr-18","May-18","Jun-18","Jul-18","Aug-18","Sep-18","Oct-18","Nov-18","Dec-18","Jan-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20","Jan-21","Feb-21","Mar-21","Apr-21","May-21","Jun-21","Jul-21","Aug-21","Sep-21","Oct-21","Nov-21","Dec-21","Jan-22","Feb-22","Mar-22","Apr-22","May-22","Jun-22","Jul-22","Aug-22","Sep-22"],[[1599],[1588],[1601],[1603],[1602],[1604],[1597],[1611],[1606],[1605],[1616],[1620],[1608],[1606],[1605],[1605],[1599],[1607],[1614],[1603],[1612],[1619],[1617],[1617],[1612],[1613],[1614],[1601],[1630],[1628],[1637],[1638],[1637],[1634],[1641],[1638],[1649],[1657],[1654],[1651],[1661],[1664],[1656],[1632],[1664],[1657],[1662],[1665],[1660],[1665],[1668],[1675],[1696],[1663],[1680],[1665],[1713],[1709],[1700],[1705],[1713],[1717],[1730],[1722],[1701],[1724],[1727],[1743],[1732],[1743],[1745],[1743],[1748],[1756],[1753],[1749],[1763],[1765],[1778],[1770],[1767],[1770],[1775],[1777],[1780],[1775],[1776],[1784],[1776],[1773],[1767],[1588],[1605],[1668],[1688],[1689],[1691],[1730],[1755],[1752],[1672],[1767],[1806],[1783],[1812],[1786],[1787],[1709],[1730],[1733],[1807],[1826],[1675],[1826],[1819],[1841],[1850],[1854],[1847],[1854],[1853]],[[1],[-0.40000000000000002],[0.90000000000000002],[1],[0.69999999999999996],[1],[0.10000000000000001],[0.80000000000000004],[0],[1.7],[1.7],[2],[0.59999999999999998],[1.1000000000000001],[0.20000000000000001],[0.10000000000000001],[-0.20000000000000001],[0.20000000000000001],[1.1000000000000001],[-0.5],[0.40000000000000002],[0.80000000000000004],[0],[-0.20000000000000001],[0.29999999999999999],[0.40000000000000002],[0.59999999999999998],[-0.29999999999999999],[2],[1.3],[1.3999999999999999],[2.2000000000000002],[1.5],[1],[1.5],[1.3],[2.2999999999999998],[2.7000000000000002],[2.5],[3.1000000000000001],[1.8999999999999999],[2.2000000000000002],[1.2],[-0.40000000000000002],[1.7],[1.3999999999999999],[1.3],[1.6000000000000001],[0.69999999999999996],[0.5],[0.80000000000000004],[1.3999999999999999],[2.1000000000000001],[0],[1.5],[2],[2.8999999999999999],[3.1000000000000001],[2.2999999999999998],[2.3999999999999999],[3.1000000000000001],[3.1000000000000001],[3.7000000000000002],[2.7999999999999998],[0.29999999999999999],[3.6000000000000001],[2.7999999999999998],[4.7000000000000002],[1.1000000000000001],[2],[2.6000000000000001],[2.2999999999999998],[2.1000000000000001],[2.2999999999999998],[1.3],[1.6000000000000001],[3.6000000000000001],[2.3999999999999999],[2.8999999999999999],[1.5],[2],[1.5],[1.7],[1.8999999999999999],[1.8999999999999999],[1.1000000000000001],[1.3],[2],[0.80000000000000004],[0.5],[-0.59999999999999998],[-10.300000000000001],[-9.1999999999999993],[-5.7000000000000002],[-4.9000000000000004],[-4.9000000000000004],[-5],[-2.6000000000000001],[-1.2],[-1.8],[-5.9000000000000004],[-0.29999999999999999],[2.2000000000000002],[12.300000000000001],[12.9],[7.0999999999999996],[5.7999999999999998],[1.2],[2.2999999999999998],[0.20000000000000001],[3],[4.2000000000000002],[0.20000000000000001],[3.2999999999999998],[0.69999999999999996],[3.2999999999999998],[2.1000000000000001],[3.7999999999999998],[3.3999999999999999],[8.5],[7.0999999999999996]]]
[]
[{"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":"-11","axis_max":"14","tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"value":"1","axis_id":"1","axis_title":"Millions","axis_units":"","tooltip_units":"","table_units":"","axis_min":"1500","axis_max":"1950","tick_interval":"50","precision":"0","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]In seasonally adjusted terms, in September 2022, the participation rate:
remained at 66.6%, 0.8 pts higher than March 2020.
remained at 71.0% for men and decreased to 62.3% for women.
| Trend (%) | Seasonally adjusted (%) | |
|---|---|---|
| Sep-12 | 65.1 | 65.3 |
| Oct-12 | 65.1 | 65.2 |
| Nov-12 | 65.1 | 65.0 |
| Dec-12 | 65.1 | 65.0 |
| Jan-13 | 65.1 | 65.3 |
| Feb-13 | 65.1 | 65.2 |
| Mar-13 | 65.1 | 65.1 |
| Apr-13 | 65.1 | 65.1 |
| May-13 | 65.1 | 65.0 |
| Jun-13 | 65.0 | 65.1 |
| Jul-13 | 65.0 | 64.9 |
| Aug-13 | 64.9 | 64.9 |
| Sep-13 | 64.8 | 64.9 |
| Oct-13 | 64.8 | 64.8 |
| Nov-13 | 64.7 | 64.6 |
| Dec-13 | 64.6 | 64.5 |
| Jan-14 | 64.6 | 64.6 |
| Feb-14 | 64.5 | 64.6 |
| Mar-14 | 64.6 | 64.7 |
| Apr-14 | 64.6 | 64.7 |
| May-14 | 64.6 | 64.6 |
| Jun-14 | 64.7 | 64.7 |
| Jul-14 | 64.7 | 64.8 |
| Aug-14 | 64.7 | 64.7 |
| Sep-14 | 64.7 | 64.7 |
| Oct-14 | 64.7 | 64.7 |
| Nov-14 | 64.7 | 64.5 |
| Dec-14 | 64.7 | 64.6 |
| Jan-15 | 64.7 | 64.7 |
| Feb-15 | 64.8 | 64.9 |
| Mar-15 | 64.8 | 64.9 |
| Apr-15 | 64.8 | 64.8 |
| May-15 | 64.9 | 64.8 |
| Jun-15 | 64.9 | 64.8 |
| Jul-15 | 64.9 | 65.1 |
| Aug-15 | 65.0 | 64.9 |
| Sep-15 | 65.1 | 65.0 |
| Oct-15 | 65.1 | 65.2 |
| Nov-15 | 65.2 | 65.2 |
| Dec-15 | 65.2 | 65.1 |
| Jan-16 | 65.1 | 65.2 |
| Feb-16 | 65.1 | 65.0 |
| Mar-16 | 65.0 | 64.9 |
| Apr-16 | 65.0 | 64.9 |
| May-16 | 64.9 | 64.8 |
| Jun-16 | 64.9 | 64.9 |
| Jul-16 | 64.8 | 65.0 |
| Aug-16 | 64.8 | 64.7 |
| Sep-16 | 64.7 | 64.5 |
| Oct-16 | 64.7 | 64.6 |
| Nov-16 | 64.7 | 64.7 |
| Dec-16 | 64.7 | 64.8 |
| Jan-17 | 64.7 | 64.7 |
| Feb-17 | 64.7 | 64.7 |
| Mar-17 | 64.8 | 64.9 |
| Apr-17 | 64.9 | 64.9 |
| May-17 | 65.0 | 64.9 |
| Jun-17 | 65.1 | 65.1 |
| Jul-17 | 65.2 | 65.2 |
| Aug-17 | 65.3 | 65.3 |
| Sep-17 | 65.3 | 65.4 |
| Oct-17 | 65.4 | 65.3 |
| Nov-17 | 65.5 | 65.5 |
| Dec-17 | 65.6 | 65.8 |
| Jan-18 | 65.6 | 65.8 |
| Feb-18 | 65.6 | 65.6 |
| Mar-18 | 65.6 | 65.6 |
| Apr-18 | 65.5 | 65.6 |
| May-18 | 65.5 | 65.4 |
| Jun-18 | 65.5 | 65.7 |
| Jul-18 | 65.5 | 65.5 |
| Aug-18 | 65.6 | 65.7 |
| Sep-18 | 65.6 | 65.5 |
| Oct-18 | 65.6 | 65.5 |
| Nov-18 | 65.6 | 65.7 |
| Dec-18 | 65.6 | 65.6 |
| Jan-19 | 65.6 | 65.7 |
| Feb-19 | 65.7 | 65.5 |
| Mar-19 | 65.7 | 65.7 |
| Apr-19 | 65.9 | 65.9 |
| May-19 | 66.0 | 65.9 |
| Jun-19 | 66.1 | 66.0 |
| Jul-19 | 66.1 | 66.0 |
| Aug-19 | 66.1 | 66.2 |
| Sep-19 | 66.1 | 66.2 |
| Oct-19 | 66.1 | 66.0 |
| Nov-19 | 66.0 | 66.0 |
| Dec-19 | 65.9 | 65.9 |
| Jan-20 | 65.9 | 66.0 |
| Feb-20 | 65.8 | 65.8 |
| Mar-20 | 65.8 | 65.8 |
| Apr-20 | 63.5 | |
| May-20 | 62.5 | |
| Jun-20 | 64.0 | |
| Jul-20 | 64.7 | |
| Aug-20 | 65.0 | |
| Sep-20 | 64.9 | |
| Oct-20 | 65.7 | |
| Nov-20 | 66.1 | |
| Dec-20 | 66.1 | |
| Jan-21 | 66.0 | |
| Feb-21 | 66.0 | |
| Mar-21 | 66.2 | |
| Apr-21 | 66.0 | |
| May-21 | 66.2 | |
| Jun-21 | 66.2 | |
| Jul-21 | 66.0 | |
| Aug-21 | 65.2 | |
| Sep-21 | 64.7 | |
| Oct-21 | 64.8 | |
| Nov-21 | 66.2 | |
| Dec-21 | 66.2 | |
| Jan-22 | 66.2 | |
| Feb-22 | 66.5 | |
| Mar-22 | 66.4 | |
| Apr-22 | 66.6 | 66.5 |
| May-22 | 66.6 | 66.6 |
| Jun-22 | 66.6 | 66.7 |
| Jul-22 | 66.6 | 66.4 |
| Aug-22 | 66.6 | 66.6 |
| Sep-22 | 66.7 | 66.6 |
Participation rate
["","Trend","Seasonally adjusted"]
[["Sep-12","Oct-12","Nov-12","Dec-12","Jan-13","Feb-13","Mar-13","Apr-13","May-13","Jun-13","Jul-13","Aug-13","Sep-13","Oct-13","Nov-13","Dec-13","Jan-14","Feb-14","Mar-14","Apr-14","May-14","Jun-14","Jul-14","Aug-14","Sep-14","Oct-14","Nov-14","Dec-14","Jan-15","Feb-15","Mar-15","Apr-15","May-15","Jun-15","Jul-15","Aug-15","Sep-15","Oct-15","Nov-15","Dec-15","Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","Jul-17","Aug-17","Sep-17","Oct-17","Nov-17","Dec-17","Jan-18","Feb-18","Mar-18","Apr-18","May-18","Jun-18","Jul-18","Aug-18","Sep-18","Oct-18","Nov-18","Dec-18","Jan-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20","Jan-21","Feb-21","Mar-21","Apr-21","May-21","Jun-21","Jul-21","Aug-21","Sep-21","Oct-21","Nov-21","Dec-21","Jan-22","Feb-22","Mar-22","Apr-22","May-22","Jun-22","Jul-22","Aug-22","Sep-22"],[[65.099999999999994],[65.099999999999994],[65.099999999999994],[65.099999999999994],[65.099999999999994],[65.099999999999994],[65.099999999999994],[65.099999999999994],[65.099999999999994],[65],[65],[64.900000000000006],[64.799999999999997],[64.799999999999997],[64.700000000000003],[64.599999999999994],[64.599999999999994],[64.5],[64.599999999999994],[64.599999999999994],[64.599999999999994],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.799999999999997],[64.799999999999997],[64.799999999999997],[64.900000000000006],[64.900000000000006],[64.900000000000006],[65],[65.099999999999994],[65.099999999999994],[65.200000000000003],[65.200000000000003],[65.099999999999994],[65.099999999999994],[65],[65],[64.900000000000006],[64.900000000000006],[64.799999999999997],[64.799999999999997],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.799999999999997],[64.900000000000006],[65],[65.099999999999994],[65.200000000000003],[65.299999999999997],[65.299999999999997],[65.400000000000006],[65.5],[65.599999999999994],[65.599999999999994],[65.599999999999994],[65.599999999999994],[65.5],[65.5],[65.5],[65.5],[65.599999999999994],[65.599999999999994],[65.599999999999994],[65.599999999999994],[65.599999999999994],[65.599999999999994],[65.700000000000003],[65.700000000000003],[65.900000000000006],[66],[66.099999999999994],[66.099999999999994],[66.099999999999994],[66.099999999999994],[66.099999999999994],[66],[65.900000000000006],[65.900000000000006],[65.799999999999997],[65.799999999999997],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[66.599999999999994],[66.599999999999994],[66.599999999999994],[66.599999999999994],[66.599999999999994],[66.700000000000003]],[[65.299999999999997],[65.200000000000003],[65],[65],[65.299999999999997],[65.200000000000003],[65.099999999999994],[65.099999999999994],[65],[65.099999999999994],[64.900000000000006],[64.900000000000006],[64.900000000000006],[64.799999999999997],[64.599999999999994],[64.5],[64.599999999999994],[64.599999999999994],[64.700000000000003],[64.700000000000003],[64.599999999999994],[64.700000000000003],[64.799999999999997],[64.700000000000003],[64.700000000000003],[64.700000000000003],[64.5],[64.599999999999994],[64.700000000000003],[64.900000000000006],[64.900000000000006],[64.799999999999997],[64.799999999999997],[64.799999999999997],[65.099999999999994],[64.900000000000006],[65],[65.200000000000003],[65.200000000000003],[65.099999999999994],[65.200000000000003],[65],[64.900000000000006],[64.900000000000006],[64.799999999999997],[64.900000000000006],[65],[64.700000000000003],[64.5],[64.599999999999994],[64.700000000000003],[64.799999999999997],[64.700000000000003],[64.700000000000003],[64.900000000000006],[64.900000000000006],[64.900000000000006],[65.099999999999994],[65.200000000000003],[65.299999999999997],[65.400000000000006],[65.299999999999997],[65.5],[65.799999999999997],[65.799999999999997],[65.599999999999994],[65.599999999999994],[65.599999999999994],[65.400000000000006],[65.700000000000003],[65.5],[65.700000000000003],[65.5],[65.5],[65.700000000000003],[65.599999999999994],[65.700000000000003],[65.5],[65.700000000000003],[65.900000000000006],[65.900000000000006],[66],[66],[66.200000000000003],[66.200000000000003],[66],[66],[65.900000000000006],[66],[65.799999999999997],[65.799999999999997],[63.5],[62.5],[64],[64.700000000000003],[65],[64.900000000000006],[65.700000000000003],[66.099999999999994],[66.099999999999994],[66],[66],[66.200000000000003],[66],[66.200000000000003],[66.200000000000003],[66],[65.200000000000003],[64.700000000000003],[64.799999999999997],[66.200000000000003],[66.200000000000003],[66.200000000000003],[66.5],[66.400000000000006],[66.5],[66.599999999999994],[66.700000000000003],[66.400000000000006],[66.599999999999994],[66.599999999999994]]]
[]
[{"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":null,"axis_max":null,"tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]Large month-to-month changes occurred during the COVID-19 pandemic, resulting in multiple trend breaks. The ABS recommends caution when using trend estimates published in spreadsheets in this release for this period. Information on trend breaks can be found in Labour Force, Australia methodology, September 2022.
| People (%) | Males (%) | Females (%) | |
|---|---|---|---|
| Sep-12 | 65.3 | 71.8 | 59.0 |
| Oct-12 | 65.2 | 71.8 | 58.8 |
| Nov-12 | 65.0 | 71.5 | 58.6 |
| Dec-12 | 65.0 | 71.7 | 58.6 |
| Jan-13 | 65.3 | 71.9 | 58.8 |
| Feb-13 | 65.2 | 71.7 | 58.9 |
| Mar-13 | 65.1 | 71.5 | 58.8 |
| Apr-13 | 65.1 | 71.5 | 59.0 |
| May-13 | 65.0 | 71.6 | 58.7 |
| Jun-13 | 65.1 | 71.6 | 58.7 |
| Jul-13 | 64.9 | 71.3 | 58.7 |
| Aug-13 | 64.9 | 71.3 | 58.7 |
| Sep-13 | 64.9 | 71.2 | 58.7 |
| Oct-13 | 64.8 | 71.2 | 58.7 |
| Nov-13 | 64.6 | 71.0 | 58.4 |
| Dec-13 | 64.5 | 70.9 | 58.2 |
| Jan-14 | 64.6 | 70.8 | 58.5 |
| Feb-14 | 64.6 | 70.7 | 58.6 |
| Mar-14 | 64.7 | 70.9 | 58.8 |
| Apr-14 | 64.7 | 71.0 | 58.5 |
| May-14 | 64.6 | 70.7 | 58.6 |
| Jun-14 | 64.7 | 70.9 | 58.7 |
| Jul-14 | 64.8 | 71.0 | 58.7 |
| Aug-14 | 64.7 | 70.9 | 58.6 |
| Sep-14 | 64.7 | 70.7 | 58.8 |
| Oct-14 | 64.7 | 70.8 | 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 | 64.8 | 71.0 | 58.9 |
| Jun-15 | 64.8 | 70.9 | 58.9 |
| Jul-15 | 65.1 | 71.1 | 59.3 |
| Aug-15 | 64.9 | 71.0 | 59.1 |
| Sep-15 | 65.0 | 71.0 | 59.2 |
| Oct-15 | 65.2 | 71.1 | 59.4 |
| Nov-15 | 65.2 | 70.9 | 59.7 |
| Dec-15 | 65.1 | 70.9 | 59.5 |
| Jan-16 | 65.2 | 71.3 | 59.4 |
| Feb-16 | 65.0 | 70.7 | 59.4 |
| Mar-16 | 64.9 | 70.8 | 59.3 |
| Apr-16 | 64.9 | 70.5 | 59.4 |
| May-16 | 64.8 | 70.6 | 59.3 |
| Jun-16 | 64.9 | 70.4 | 59.6 |
| Jul-16 | 65.0 | 70.6 | 59.5 |
| Aug-16 | 64.7 | 70.5 | 59.1 |
| Sep-16 | 64.5 | 70.1 | 59.1 |
| Oct-16 | 64.6 | 70.3 | 59.0 |
| Nov-16 | 64.7 | 70.4 | 59.3 |
| Dec-16 | 64.8 | 70.5 | 59.3 |
| Jan-17 | 64.7 | 70.2 | 59.4 |
| Feb-17 | 64.7 | 70.4 | 59.2 |
| Mar-17 | 64.9 | 70.5 | 59.5 |
| Apr-17 | 64.9 | 70.6 | 59.4 |
| May-17 | 64.9 | 70.6 | 59.5 |
| Jun-17 | 65.1 | 70.6 | 59.8 |
| Jul-17 | 65.2 | 70.8 | 59.7 |
| Aug-17 | 65.3 | 70.8 | 60.0 |
| Sep-17 | 65.4 | 70.8 | 60.2 |
| Oct-17 | 65.3 | 70.6 | 60.1 |
| Nov-17 | 65.5 | 71.0 | 60.3 |
| Dec-17 | 65.8 | 71.1 | 60.7 |
| Jan-18 | 65.8 | 71.2 | 60.5 |
| Feb-18 | 65.6 | 71.0 | 60.5 |
| Mar-18 | 65.6 | 70.8 | 60.5 |
| Apr-18 | 65.6 | 70.9 | 60.5 |
| May-18 | 65.4 | 70.7 | 60.3 |
| Jun-18 | 65.7 | 71.0 | 60.6 |
| Jul-18 | 65.5 | 71.0 | 60.3 |
| Aug-18 | 65.7 | 71.1 | 60.4 |
| Sep-18 | 65.5 | 70.8 | 60.4 |
| Oct-18 | 65.5 | 70.9 | 60.4 |
| Nov-18 | 65.7 | 71.1 | 60.5 |
| Dec-18 | 65.6 | 71.0 | 60.5 |
| Jan-19 | 65.7 | 71.0 | 60.7 |
| Feb-19 | 65.5 | 70.7 | 60.5 |
| Mar-19 | 65.7 | 70.9 | 60.6 |
| Apr-19 | 65.9 | 70.9 | 61.0 |
| May-19 | 65.9 | 71.4 | 60.7 |
| Jun-19 | 66.0 | 71.3 | 60.9 |
| Jul-19 | 66.0 | 71.3 | 60.9 |
| Aug-19 | 66.2 | 71.3 | 61.2 |
| Sep-19 | 66.2 | 71.2 | 61.3 |
| Oct-19 | 66.0 | 70.9 | 61.2 |
| Nov-19 | 66.0 | 71.0 | 61.2 |
| Dec-19 | 65.9 | 70.8 | 61.1 |
| Jan-20 | 66.0 | 70.7 | 61.4 |
| Feb-20 | 65.8 | 70.7 | 61.1 |
| Mar-20 | 65.8 | 70.7 | 61.1 |
| Apr-20 | 63.5 | 68.8 | 58.5 |
| May-20 | 62.5 | 67.9 | 57.4 |
| Jun-20 | 64.0 | 69.2 | 59.1 |
| Jul-20 | 64.7 | 69.7 | 59.8 |
| Aug-20 | 65.0 | 69.9 | 60.2 |
| Sep-20 | 64.9 | 69.8 | 60.3 |
| Oct-20 | 65.7 | 70.8 | 60.9 |
| Nov-20 | 66.1 | 71.0 | 61.4 |
| Dec-20 | 66.1 | 70.9 | 61.4 |
| Jan-21 | 66.0 | 71.1 | 61.1 |
| Feb-21 | 66.0 | 70.9 | 61.3 |
| Mar-21 | 66.2 | 70.9 | 61.8 |
| Apr-21 | 66.0 | 70.8 | 61.3 |
| May-21 | 66.2 | 70.8 | 61.7 |
| Jun-21 | 66.2 | 71.1 | 61.6 |
| Jul-21 | 66.0 | 70.8 | 61.4 |
| Aug-21 | 65.2 | 70.1 | 60.6 |
| Sep-21 | 64.7 | 69.3 | 60.2 |
| Oct-21 | 64.8 | 69.6 | 60.1 |
| Nov-21 | 66.2 | 70.8 | 61.8 |
| Dec-21 | 66.2 | 70.9 | 61.7 |
| Jan-22 | 66.2 | 70.5 | 62.0 |
| Feb-22 | 66.5 | 70.8 | 62.3 |
| Mar-22 | 66.4 | 70.9 | 62.2 |
| Apr-22 | 66.5 | 70.8 | 62.2 |
| May-22 | 66.6 | 71.2 | 62.3 |
| Jun-22 | 66.7 | 71.2 | 62.4 |
| Jul-22 | 66.4 | 70.9 | 62.1 |
| Aug-22 | 66.6 | 71.0 | 62.4 |
| Sep-22 | 66.6 | 71.0 | 62.3 |
Participation rate, Seasonally adjusted
["","People","Males","Females"]
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[]
[{"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":null,"axis_max":null,"tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]In seasonally adjusted terms, in September 2022:
| Underemployment rate - Trend (%) | Underemployment rate - Seasonally adjusted (%) | Underutilisation rate - Trend (%) | Underutilisation rate - Seasonally adjusted (%) | |
|---|---|---|---|---|
| Sep-12 | 7.0 | 6.8 | 12.3 | 12.3 |
| Oct-12 | 6.9 | 7.0 | 12.3 | 12.4 |
| Nov-12 | 7.0 | 7.0 | 12.3 | 12.3 |
| Dec-12 | 7.0 | 7.0 | 12.4 | 12.5 |
| Jan-13 | 7.1 | 7.0 | 12.5 | 12.4 |
| Feb-13 | 7.1 | 7.1 | 12.6 | 12.5 |
| Mar-13 | 7.2 | 7.2 | 12.7 | 12.9 |
| Apr-13 | 7.3 | 7.2 | 12.9 | 12.8 |
| May-13 | 7.4 | 7.5 | 13.0 | 13.1 |
| Jun-13 | 7.4 | 7.5 | 13.1 | 13.2 |
| Jul-13 | 7.5 | 7.4 | 13.2 | 13.0 |
| Aug-13 | 7.5 | 7.6 | 13.2 | 13.4 |
| Sep-13 | 7.5 | 7.4 | 13.3 | 13.2 |
| Oct-13 | 7.5 | 7.5 | 13.3 | 13.3 |
| Nov-13 | 7.5 | 7.5 | 13.3 | 13.3 |
| Dec-13 | 7.5 | 7.5 | 13.3 | 13.4 |
| Jan-14 | 7.5 | 7.3 | 13.3 | 13.3 |
| Feb-14 | 7.5 | 7.5 | 13.3 | 13.4 |
| Mar-14 | 7.6 | 7.5 | 13.4 | 13.4 |
| Apr-14 | 7.7 | 7.7 | 13.5 | 13.5 |
| May-14 | 7.8 | 7.8 | 13.7 | 13.7 |
| Jun-14 | 8.0 | 7.9 | 14.0 | 14.0 |
| Jul-14 | 8.2 | 8.3 | 14.3 | 14.5 |
| Aug-14 | 8.3 | 8.4 | 14.5 | 14.5 |
| Sep-14 | 8.5 | 8.8 | 14.7 | 15.1 |
| Oct-14 | 8.5 | 8.2 | 14.8 | 14.6 |
| Nov-14 | 8.5 | 8.6 | 14.8 | 14.9 |
| Dec-14 | 8.5 | 8.4 | 14.8 | 14.5 |
| Jan-15 | 8.5 | 8.5 | 14.7 | 14.9 |
| Feb-15 | 8.5 | 8.5 | 14.6 | 14.7 |
| Mar-15 | 8.4 | 8.2 | 14.6 | 14.3 |
| Apr-15 | 8.4 | 8.3 | 14.5 | 14.4 |
| May-15 | 8.4 | 8.4 | 14.5 | 14.3 |
| Jun-15 | 8.4 | 8.4 | 14.5 | 14.4 |
| Jul-15 | 8.5 | 8.6 | 14.5 | 14.9 |
| Aug-15 | 8.6 | 8.4 | 14.6 | 14.5 |
| Sep-15 | 8.6 | 8.8 | 14.6 | 14.9 |
| Oct-15 | 8.6 | 8.7 | 14.6 | 14.6 |
| Nov-15 | 8.6 | 8.6 | 14.5 | 14.4 |
| Dec-15 | 8.6 | 8.5 | 14.4 | 14.2 |
| Jan-16 | 8.5 | 8.5 | 14.3 | 14.6 |
| Feb-16 | 8.4 | 8.4 | 14.2 | 14.1 |
| Mar-16 | 8.4 | 8.4 | 14.1 | 14.0 |
| Apr-16 | 8.5 | 8.6 | 14.2 | 14.3 |
| May-16 | 8.6 | 8.3 | 14.2 | 14.0 |
| Jun-16 | 8.7 | 8.8 | 14.3 | 14.5 |
| Jul-16 | 8.7 | 9.0 | 14.3 | 14.7 |
| Aug-16 | 8.7 | 8.8 | 14.3 | 14.4 |
| Sep-16 | 8.7 | 8.7 | 14.3 | 14.4 |
| Oct-16 | 8.6 | 8.5 | 14.3 | 14.1 |
| Nov-16 | 8.6 | 8.5 | 14.3 | 14.3 |
| Dec-16 | 8.7 | 8.6 | 14.4 | 14.4 |
| Jan-17 | 8.7 | 8.8 | 14.5 | 14.5 |
| Feb-17 | 8.7 | 9.0 | 14.5 | 14.9 |
| Mar-17 | 8.7 | 8.6 | 14.5 | 14.5 |
| Apr-17 | 8.7 | 8.8 | 14.4 | 14.4 |
| May-17 | 8.6 | 8.7 | 14.3 | 14.2 |
| Jun-17 | 8.6 | 8.4 | 14.2 | 14.0 |
| Jul-17 | 8.6 | 8.5 | 14.1 | 14.2 |
| Aug-17 | 8.5 | 8.6 | 14.0 | 14.1 |
| Sep-17 | 8.5 | 8.5 | 14.0 | 14.0 |
| Oct-17 | 8.5 | 8.5 | 14.0 | 13.9 |
| Nov-17 | 8.5 | 8.5 | 14.0 | 13.9 |
| Dec-17 | 8.5 | 8.5 | 14.0 | 14.1 |
| Jan-18 | 8.5 | 8.7 | 14.0 | 14.3 |
| Feb-18 | 8.5 | 8.5 | 14.0 | 14.0 |
| Mar-18 | 8.5 | 8.6 | 14.0 | 14.1 |
| Apr-18 | 8.5 | 8.5 | 14.0 | 14.0 |
| May-18 | 8.5 | 8.4 | 13.9 | 13.8 |
| Jun-18 | 8.5 | 8.6 | 13.8 | 13.9 |
| Jul-18 | 8.4 | 8.5 | 13.7 | 13.8 |
| Aug-18 | 8.4 | 8.2 | 13.6 | 13.5 |
| Sep-18 | 8.3 | 8.3 | 13.5 | 13.3 |
| Oct-18 | 8.3 | 8.3 | 13.4 | 13.3 |
| Nov-18 | 8.2 | 8.5 | 13.3 | 13.6 |
| Dec-18 | 8.2 | 8.3 | 13.2 | 13.3 |
| Jan-19 | 8.2 | 8.1 | 13.3 | 13.2 |
| Feb-19 | 8.3 | 8.0 | 13.3 | 12.9 |
| Mar-19 | 8.3 | 8.2 | 13.4 | 13.3 |
| Apr-19 | 8.4 | 8.5 | 13.5 | 13.7 |
| May-19 | 8.4 | 8.6 | 13.6 | 13.8 |
| Jun-19 | 8.5 | 8.2 | 13.7 | 13.4 |
| Jul-19 | 8.5 | 8.4 | 13.7 | 13.7 |
| Aug-19 | 8.4 | 8.6 | 13.7 | 13.8 |
| Sep-19 | 8.4 | 8.3 | 13.6 | 13.5 |
| Oct-19 | 8.3 | 8.5 | 13.5 | 13.8 |
| Nov-19 | 8.3 | 8.3 | 13.5 | 13.4 |
| Dec-19 | 8.3 | 8.2 | 13.5 | 13.3 |
| Jan-20 | 8.4 | 8.6 | 13.6 | 13.9 |
| Feb-20 | 8.5 | 8.5 | 13.7 | 13.6 |
| Mar-20 | 8.6 | 8.8 | 13.9 | 14.0 |
| Apr-20 | 13.8 | 20.1 | ||
| May-20 | 13.2 | 20.2 | ||
| Jun-20 | 11.6 | 19.1 | ||
| Jul-20 | 11.3 | 18.8 | ||
| Aug-20 | 11.3 | 18.2 | ||
| Sep-20 | 11.4 | 18.3 | ||
| Oct-20 | 10.4 | 17.3 | ||
| Nov-20 | 9.3 | 16.1 | ||
| Dec-20 | 8.5 | 15.1 | ||
| Jan-21 | 8.2 | 14.5 | ||
| Feb-21 | 8.3 | 14.1 | ||
| Mar-21 | 7.9 | 13.5 | ||
| Apr-21 | 7.9 | 13.3 | ||
| May-21 | 7.6 | 12.7 | ||
| Jun-21 | 7.9 | 12.9 | ||
| Jul-21 | 8.3 | 13.0 | ||
| Aug-21 | 9.3 | 13.9 | ||
| Sep-21 | 9.2 | 13.9 | ||
| Oct-21 | 9.4 | 14.7 | ||
| Nov-21 | 7.4 | 12.0 | ||
| Dec-21 | 6.6 | 10.8 | ||
| Jan-22 | 6.6 | 10.8 | ||
| Feb-22 | 6.5 | 10.5 | ||
| Mar-22 | 6.3 | 10.2 | ||
| Apr-22 | 6.2 | 6.2 | 10.0 | 10.0 |
| May-22 | 6.1 | 5.8 | 9.8 | 9.7 |
| Jun-22 | 6.0 | 6.1 | 9.7 | 9.6 |
| Jul-22 | 6.0 | 6.0 | 9.6 | 9.4 |
| Aug-22 | 6.0 | 6.0 | 9.5 | 9.4 |
| Sep-22 | 6.0 | 6.0 | 9.5 | 9.6 |
Underemployment rate and underutilisation rate
["","Underemployment rate - Trend","Underemployment rate - Seasonally adjusted","Underutilisation rate - Trend","Underutilisation rate - Seasonally adjusted"]
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[]
[{"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":null,"axis_max":null,"tick_interval":null,"precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]Large month-to-month changes occurred during the COVID-19 pandemic, resulting in multiple trend breaks. The ABS recommends caution when using trend estimates published in spreadsheets in this release for this period. A list of trend breaks can be found in Labour Force, Australia methodology, September 2022.
| People (%) | Males (%) | Females (%) | |
|---|---|---|---|
| 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 | 9.1 |
| Mar-13 | 7.2 | 5.5 | 9.3 |
| Apr-13 | 7.2 | 5.5 | 9.2 |
| May-13 | 7.5 | 5.8 | 9.5 |
| Jun-13 | 7.5 | 5.9 | 9.5 |
| Jul-13 | 7.4 | 5.6 | 9.5 |
| Aug-13 | 7.6 | 5.8 | 9.7 |
| Sep-13 | 7.4 | 5.7 | 9.5 |
| Oct-13 | 7.5 | 5.8 | 9.5 |
| Nov-13 | 7.5 | 5.7 | 9.6 |
| Dec-13 | 7.5 | 5.8 | 9.5 |
| Jan-14 | 7.3 | 5.7 | 9.3 |
| Feb-14 | 7.5 | 5.7 | 9.6 |
| Mar-14 | 7.5 | 5.7 | 9.7 |
| Apr-14 | 7.7 | 5.7 | 9.9 |
| May-14 | 7.8 | 5.9 | 9.9 |
| Jun-14 | 7.9 | 6.0 | 10.2 |
| Jul-14 | 8.3 | 6.4 | 10.6 |
| Aug-14 | 8.4 | 6.4 | 10.7 |
| Sep-14 | 8.8 | 6.9 | 11.1 |
| Oct-14 | 8.2 | 6.3 | 10.4 |
| Nov-14 | 8.6 | 6.7 | 10.9 |
| Dec-14 | 8.4 | 6.5 | 10.7 |
| Jan-15 | 8.5 | 6.5 | 10.9 |
| Feb-15 | 8.5 | 6.5 | 10.9 |
| Mar-15 | 8.2 | 5.9 | 10.8 |
| Apr-15 | 8.3 | 6.4 | 10.6 |
| May-15 | 8.4 | 6.4 | 10.7 |
| Jun-15 | 8.4 | 6.5 | 10.6 |
| Jul-15 | 8.6 | 6.9 | 10.7 |
| Aug-15 | 8.4 | 6.5 | 10.7 |
| Sep-15 | 8.8 | 6.8 | 11.1 |
| Oct-15 | 8.7 | 6.7 | 11.0 |
| Nov-15 | 8.6 | 6.7 | 10.8 |
| Dec-15 | 8.5 | 6.3 | 10.9 |
| Jan-16 | 8.5 | 6.6 | 10.7 |
| Feb-16 | 8.4 | 6.5 | 10.5 |
| Mar-16 | 8.4 | 6.6 | 10.5 |
| Apr-16 | 8.6 | 7.1 | 10.4 |
| May-16 | 8.3 | 6.7 | 10.2 |
| Jun-16 | 8.8 | 7.0 | 10.8 |
| Jul-16 | 9.0 | 7.0 | 11.3 |
| Aug-16 | 8.8 | 7.2 | 10.7 |
| Sep-16 | 8.7 | 6.9 | 10.8 |
| Oct-16 | 8.5 | 6.8 | 10.6 |
| Nov-16 | 8.5 | 6.7 | 10.6 |
| Dec-16 | 8.6 | 6.8 | 10.7 |
| Jan-17 | 8.8 | 6.9 | 11.0 |
| Feb-17 | 9.0 | 6.9 | 11.4 |
| Mar-17 | 8.6 | 6.8 | 10.7 |
| Apr-17 | 8.8 | 6.7 | 11.1 |
| May-17 | 8.7 | 6.8 | 10.8 |
| Jun-17 | 8.4 | 6.6 | 10.5 |
| Jul-17 | 8.5 | 6.9 | 10.5 |
| Aug-17 | 8.6 | 6.9 | 10.6 |
| Sep-17 | 8.5 | 6.8 | 10.6 |
| Oct-17 | 8.5 | 6.6 | 10.6 |
| Nov-17 | 8.5 | 6.7 | 10.6 |
| Dec-17 | 8.5 | 6.4 | 10.8 |
| Jan-18 | 8.7 | 7.0 | 10.7 |
| Feb-18 | 8.5 | 6.6 | 10.5 |
| Mar-18 | 8.6 | 6.5 | 10.9 |
| Apr-18 | 8.5 | 6.4 | 10.8 |
| May-18 | 8.4 | 6.5 | 10.7 |
| Jun-18 | 8.6 | 6.6 | 10.8 |
| Jul-18 | 8.5 | 6.4 | 10.9 |
| Aug-18 | 8.2 | 6.1 | 10.6 |
| Sep-18 | 8.3 | 6.3 | 10.6 |
| Oct-18 | 8.3 | 6.2 | 10.7 |
| Nov-18 | 8.5 | 6.6 | 10.6 |
| Dec-18 | 8.3 | 6.4 | 10.4 |
| Jan-19 | 8.1 | 6.2 | 10.4 |
| Feb-19 | 8.0 | 6.2 | 10.0 |
| Mar-19 | 8.2 | 6.5 | 10.2 |
| Apr-19 | 8.5 | 6.9 | 10.3 |
| May-19 | 8.6 | 6.9 | 10.5 |
| Jun-19 | 8.2 | 6.6 | 10.0 |
| Jul-19 | 8.4 | 6.8 | 10.3 |
| Aug-19 | 8.6 | 7.0 | 10.3 |
| Sep-19 | 8.3 | 6.8 | 10.1 |
| Oct-19 | 8.5 | 6.7 | 10.6 |
| Nov-19 | 8.3 | 6.6 | 10.1 |
| Dec-19 | 8.2 | 6.5 | 10.1 |
| Jan-20 | 8.6 | 6.7 | 10.7 |
| Feb-20 | 8.5 | 6.6 | 10.7 |
| Mar-20 | 8.8 | 7.2 | 10.5 |
| Apr-20 | 13.8 | 12.6 | 15.1 |
| May-20 | 13.2 | 12.3 | 14.2 |
| Jun-20 | 11.6 | 10.8 | 12.6 |
| Jul-20 | 11.3 | 10.5 | 12.2 |
| Aug-20 | 11.3 | 10.6 | 12.1 |
| Sep-20 | 11.4 | 10.7 | 12.2 |
| Oct-20 | 10.4 | 9.1 | 11.8 |
| Nov-20 | 9.3 | 7.9 | 10.8 |
| Dec-20 | 8.5 | 7.0 | 10.2 |
| Jan-21 | 8.2 | 6.9 | 9.6 |
| Feb-21 | 8.3 | 7.2 | 9.6 |
| Mar-21 | 7.9 | 6.6 | 9.3 |
| Apr-21 | 7.9 | 6.6 | 9.4 |
| May-21 | 7.6 | 6.5 | 8.8 |
| Jun-21 | 7.9 | 6.8 | 9.1 |
| Jul-21 | 8.3 | 7.1 | 9.6 |
| Aug-21 | 9.3 | 8.6 | 10.1 |
| Sep-21 | 9.2 | 8.5 | 10.1 |
| Oct-21 | 9.4 | 8.9 | 10.1 |
| Nov-21 | 7.4 | 6.2 | 8.8 |
| Dec-21 | 6.6 | 5.6 | 7.8 |
| Jan-22 | 6.6 | 5.5 | 7.9 |
| Feb-22 | 6.5 | 5.4 | 7.8 |
| Mar-22 | 6.3 | 5.0 | 7.7 |
| Apr-22 | 6.2 | 5.0 | 7.4 |
| May-22 | 5.8 | 4.8 | 6.9 |
| Jun-22 | 6.1 | 5.0 | 7.2 |
| Jul-22 | 6.0 | 4.9 | 7.3 |
| Aug-22 | 6.0 | 4.9 | 7.2 |
| Sep-22 | 6.0 | 5.0 | 7.1 |
Underemployment rate, Seasonally adjusted
["","People","Males","Females"]
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[]
[{"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":null,"axis_max":null,"tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]| New South Wales | Victoria | Queensland | South Australia | Western Australia | Tasmania | Northern Territory | Australian Capital Territory | Australia | |
|---|---|---|---|---|---|---|---|---|---|
| Employed people | 4,285,500 | 3,517,200 | 2,771,500 | 884,800 | 1,468,300 | 267,900 | 135,700 | 235,200 | 13,590,800 |
| Employed people - monthly change | 0.2% | -0.3% | -0.2% | -1.0% | -0.3% | 1.4% | 0.3% | -0.6% | 0.0% |
| Employment to population ratio | 63.8% | 64.4% | 64.2% | 60.0% | 66.8% | 59.0% | 70.0% | 68.5% | 64.2% |
| Employment to population ratio - monthly change | 0.1 pts | -0.2 pts | -0.2 pts | -0.6 pts | -0.3 pts | 0.7 pts | -0.2 pts | -0.4 pts | 0.0 pts |
| Unemployment rate | 3.3% | 3.5% | 3.7% | 4.3% | 3.4% | 4.3% | 4.0% | 3.1% | 3.5% |
| Unemployment rate - monthly change | -0.1 pts | -0.2 pts | 0.5 pts | 0.3 pts | 0.3 pts | -0.4 pts | -0.5 pts | 0.4 pts | 0.1 pts |
| Underemployment rate | 5.8% | 5.7% | 6.4% | 6.8% | 6.1% | 6.5% | 5.7% | 4.8% | 6.0% |
| Underemployment rate - monthly change | 0.1 pts | 0.0 pts | 0.0 pts | 0.2 pts | 0.1 pts | -0.8 pts | 0.4 pts | 0.4 pts | 0.1 pts |
| Participation rate | 66.0% | 66.7% | 66.7% | 62.7% | 69.2% | 61.7% | 73.0% | 70.7% | 66.6% |
| Participation rate - monthly change | 0.0 pts | -0.4 pts | 0.1 pts | -0.4 pts | -0.1 pts | 0.6 pts | -0.5 pts | -0.1 pts | 0.0 pts |
The Labour Force Survey sample can be thought of as comprising eight sub-samples (rotation groups), with each sub-sample remaining in the survey for eight months, and one group "rotating out" each month and being replaced by a new group "rotating in". As seven-eighths of the sample are common from one month to the next, changes in the estimates reflect real changes in the labour market, rather than changes in the sample. The replacement sample is generally selected from the same geographic areas as the outgoing one, as part of a representative sampling approach.
The sample comprises three components:
The matched common sample describes the change observed for the same respondents in the current and previous month, while the other two components reflect differences between the aggregate labour force status of different groups of people.
While the rotation groups are designed to be representative of the population, the outgoing and incoming rotation groups will almost always have somewhat different characteristics, as they reflect different households and people. The design of the survey, including the weighting and estimation processes, ensures that these differences are generally relatively minor and do not affect the representativeness of the survey and its estimates. Monthly estimates are designed to be representative, regardless of the relative contribution of the three components of the sample.
The contributions of the three sample components to the original estimates of employed, unemployed and not in the labour force are in the Contribution from sample components to estimates spreadsheet.
| August outgoing rotation group | September incoming rotation group | September outgoing rotation group | September estimate (Original) | |
|---|---|---|---|---|
| Employment to population ratio | 64.1% | 64.5% | 66.4% | 64.0% |
| Full-time employment to population ratio | 44.1% | 44.8% | 46.1% | 44.5% |
| Unemployment rate | 3.4% | 3.6% | 2.7% | 3.5% |
| Participation rate | 66.4% | 67.0% | 68.2% | 66.3% |
In addition to analysis across the entire sample, the ABS also undertakes similar analysis for the responding sample in each state and territory each month, and highlights where there is a notable change for users to be aware of. For example, in August 2022, the incoming rotation group in Victoria had a lower employment-to-population ratio and a lower participation rate than the group it replaced. These ratios of the incoming rotation group in Victoria are the lowest among all the rotation groups in Victoria. As with any notable month-to-month movement of this nature in state and territory estimates, the ABS recommends exercising a degree of caution in interpreting short-term changes.
As for its reporting for the entire sample, where the ABS has not highlighted a notable incoming rotation group effect, any larger changes should therefore be considered to reflect a broader change across the sample.
In response to COVID-19 and the suspension of face-to-face interviewing, the ABS increased the size of sample for the incoming rotation groups from June to December 2020 to ensure response level were around the same as pre-COVID-19 rotation groups. This ensured a comparable number of fully responding households to the pre-COVID period.
In response to the data collection challenges associated with the COVID-19 Delta variant, the ABS increased the size of the sample for the incoming rotation group in New South Wales in September 2021, and in New South Wales and Victoria from October 2021 to January 2022. As with earlier in the pandemic, this has ensured that survey response has remained at a similar level to the pre-COVID period.
It should be noted that the last rotation group with increased sample, introduced in January 2022, was the outgoing rotation group in August 2022. It was replaced with a rotation group with a similar sample size to the rotation groups of the pre-COVID period in September 2022. As a result, the sample size of all rotation groups were similar to the rotation groups of the pre-COVID period in September 2022.
Between April and September 2020, and in September and October 2021, additional weighting treatments were used to effectively account for a slightly higher level of non-response related to lockdowns and other restrictions. No such treatment has been required since October 2021.
The gross flows and rotation group data are in original terms only, and are included to provide additional information on the month-to-month movements. They have a considerable level of inherent sampling variability, which is specifically adjusted for in the trend and seasonally adjusted series.
Labour Force Survey results are released in three stages.
See the Survey output section of Labour Force, Australia methodology for more information.
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
Historical charts from August 1966 to August 2022 (August 2022)
Historical charts from August 1966 to July 2022 (July 2022)
Historical charts from August 1966 to June 2022 (June 2022)
Historical charts from August 1966 to May 2022 (May 2022)
Historical charts from August 1966 to April 2022 (April 2022)
Historical charts from 1966 (March 2022)
Understanding full-time and part-time work (January 2021)
Understanding differences between Labour Force employment statistics and Weekly Payroll Jobs (April 2020)
Classifying people during the COVID-19 period (March 2020)
Labour Force Explained (September 2017)
Understanding the Australian labour force using ABS statistics (December 2013)
Understanding full-time / part-time status in the Labour Force Survey (September 2013)
Employment level estimates versus employment to population ratio explained (January 2012)
Charts on casual employment, occupation, industry and job mobility (August 2022)
Charts on casual employment, occupation and industry (May 2022)
Insights into job mobility from quarterly Labour Force Statistics (February 2022)
Charts on casual employment, occupation and industry (February 2022)
Insights into job mobility from quarterly Labour Force statistics (December 2021)
Charts on casual employment, occupation and industry (November 2021)
Charts on casual employment, occupation and industry (August 2021)
Charts on casual employment, occupation and industry (May 2021)
Changing female employment over time (February 2021)
Insights into casual employment, occupation and industry (November 2020)
Strong employment growth for non-employees (August 2020)
State and territory employment and hours worked (August 2020)
Employment and unemployment: An International Perspective (August 2020)
Flows into and out of employment and unemployment (June 2020)
Insights into industry and occupation (May 2020)
Employment and unemployment: An international perspective (May 2020)
Employment and unemployment: An international perspective (April 2020)
People moving into or out of employment or unemployment every month (March 2020)
How many people work one hour a week (January 2019)
Leave entitlements (November 2015)
Duration of employment (November 2015)
Sector of main job (November 2015)
Estimating jobs in the Australian labour market (February 2013)
Employment in mining in Queensland, New South Wales and Western Australia (May 2012)
Insights into job attachment during the pandemic (February 2022)
Insights into job attachment during the pandemic (January 2022)
Insights into job attachment during the pandemic (November 2021)
Insights into job attachment during the pandemic (October 2021)
Underemployment: Reduced hours or prefers more hours (December 2020)
Employment and unemployment: An International Perspective (August 2020)
Flows into and out of employment and unemployment (June 2020)
Employment and unemployment: An International Perspective (June 2020)
People who lost a job or were stood down: flows analysis (May 2020)
Employment and unemployment: An international perspective (May 2020)
Hours not worked - Hours-based measures of unemployment and underemployment (May 2020)
People who lost a job or were stood down: Flows analysis (April 2020)
Reasons people are not in the labour force (April 2020)
Employment and unemployment: An international perspective (April 2020)
Underemployment in Australia (September 2018)
Spotlight on underemployment (November 2016)
Measures of underemployment and underutilisation (November 2015)
Full-time and part-time job search (November 2015)
Hours-based measures of unemployment and underemployment (November 2015)
Retrenchment (November 2015)
Did you know - Underemployment (June 2013)
Exploring labour force data on joblessness (February 2012)
Insights into hours worked (August 2022)
Insights into hours worked (July 2022)
Insight into hours worked (June 2022)
Insight into hours worked (May 2022)
Insight into hours worked (April 2022)
Insights into hours worked (March 2022)
Insights into hours worked (February 2022)
Insights into hours worked (January 2022)
Insights into hours worked (December 2021)
Insights into hours worked (November 2021)
Insights into hours worked (October 2021)
Insights into hours worked (September 2021)
Insights into hours worked (August 2021)
Insights into hours worked (July 2021)
Insights into hours worked (June 2021)
Insights into hours worked (May 2021)
Insights into hours worked (April 2021)
Insights into hours worked (March 2021)
How many people work one hour a week? (March 2021)
Insights into hours worked (February 2021)
Insights into hours worked (January 2021)
Insights into hours worked (December 2020)
Insights into hours worked (November 2020)
Insights into hours worked (October 2020)
Insights into hours worked (September 2020)
Insights into hours worked (August 2020)
State and territory employment and hours worked (August 2020)
Insights into hours worked (July 2020)
Insights into hours worked (June 2020)
Hours not worked - Hours-based measures of unemployment and underemployment (May 2020)
Insights into hours worked (May 2020)
People working fewer hours (April 2020)
Insights into hours worked (April 2020)
Reasons for working fewer hours (March 2020)
Insights into hours worked (March 2020)
Insights into detailed Labour Force Survey hours worked data (February 2020)
Revisions to monthly hours worked in all jobs (July 2016)
Impacts on the Australian labour market: A regional perspective (April 2020)
Advice on reporting regional labour force data (December 2017)
Analysis of changes to Labour Force regional estimates (February 2014)
ABS Labour Statistics: A broad range of information (July 2019)
500th issue of 6202.0 (January 2018)
Labour Force Survey pivot tables (August 2017)
Expanded education data from the Labour Force Survey (August 2016)
Change to Status in Employment output (July 2015)
Forthcoming improvements to the content of the Labour Force and Labour Supplementary Surveys (January 2013)
Upcoming changes to the Labour Force Survey (July 2012)
Labour Household Surveys content review (June 2012)
Improvement to the trending method for Labour Force rates and ratios (October 2019)
Assessing volatility in Labour Force statistics (July 2019)
On-line collection in the Labour Force Survey (April 2019)
Annual seasonal re-analysis (March 2019)
Improvements to trend estimation (March 2018)
Major re-benchmarking of Labour Force series (October 2017)
Changes to filter lengths used in labour statistics (February 2017)
Update on recommendation 7 from the independent technical review (November 2015)
Progress with recommendations from the independent technical review (July 2015)
Update on recommendations 10 and 11 from the independent technical review (June 2015)
Update on recommendation 7 from the independent technical review (May 2015)
Update on recommendations from the independent technical review (March 2015)
Rebenchmarking Labour Force estimates (February 2015)
Independent technical review into the Labour Force Survey (November 2014)
Removing the effect of supplementary surveys from seasonally adjusted estimates (October 2014)
Rebenchmarking Labour Force estimates to the 2011 Census (January 2014)
New Labour Force sample design (May 2013)
Transition to online collection of the Labour Force survey (April 2013)
Rebenchmarking of Labour Force series (November 2012)
Population benchmarks and Labour Force Survey (April 2012)
Historical revisions (February 2011)
Impact of the floods on the Labour Force Survey (January 2011)
This release previously used catalogue number 6202.0.