Australia Employment Index data was reported at 111.162 2010=100 in 2017. This records an increase from the previous number of 108.740 2010=100 for 2016. Australia Employment Index data is updated yearly, averaging 81.550 2010=100 from Dec 1983 (Median) to 2017, with 35 observations. The data reached an all-time high of 111.162 2010=100 in 2017 and a record low of 57.161 2010=100 in 1983. Australia Employment Index data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Australia – Table AU.IMF.IFS: Labour Force, Employment and Unemployment: Annual.

Australia Employment Index data was reported at 113.596 2010=100 in Jun 2018. This records an increase from the previous number of 112.887 2010=100 for Mar 2018. Australia Employment Index data is updated quarterly, averaging 81.392 2010=100 from Sep 1982 (Median) to Jun 2018, with 144 observations. The data reached an all-time high of 113.596 2010=100 in Jun 2018 and a record low of 56.692 2010=100 in Mar 1983. Australia Employment Index data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Australia – Table AU.IMF.IFS: Labour Force, Employment and Unemployment: Quarterly.

Australia: Labor freedom index (0-100): The latest value from 2025 is 65 points, unchanged from 65 points in 2024. In comparison, the world average is 57 points, based on data from 174 countries. Historically, the average for Australia from 2005 to 2025 is 83 points. The minimum value, 64 points, was reached in 2022 while the maximum of 96 points was recorded in 2008.

Australia Labour Force Participation Rate: National Estimate: Ratio of Female to Male data was reported at 87.629 % in 2023. This records a decrease from the previous number of 87.706 % for 2022. Australia Labour Force Participation Rate: National Estimate: Ratio of Female to Male data is updated yearly, averaging 74.248 % from Dec 1961 (Median) to 2023, with 49 observations. The data reached an all-time high of 87.706 % in 2022 and a record low of 33.687 % in 1961. Australia Labour Force Participation Rate: National Estimate: Ratio of Female to Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Australia – Table AU.World Bank.WDI: Labour Force. Labor force participation rate is the proportion of the population ages 15 and older that is economically active: all people who supply labor for the production of goods and services during a specified period. Ratio of female to male labor force participation rate is calculated by dividing female labor force participation rate by male labor force participation rate and multiplying by 100.;World Bank, World Development Indicators database. Estimates are based on data obtained from International Labour Organization, ILOSTAT at https://ilostat.ilo.org/data/.;Weighted average;The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

The ATO (Australian Tax Office) made a dataset openly available (see links) showing all the Australian Salary and Wages (2002, 2006, 2010, 2014) by detailed occupation (around 1,000) and over 100 SA4 regions. Sole Trader sales and earnings are also provided. This open data (csv) is now packaged into a database (*.sql) with 45 sample SQL queries (backupSQL[date]_public.txt).See more description at related Figshare #datavis record. Versions:V5: Following #datascience course, I have made main data (individual salary and wages) available as csv and Jupyter Notebook. Checksum matches #dataTotals. In 209,xxx rows.Also provided Jobs, and SA4(Locations) description files as csv. More details at: Where are jobs growing/shrinking? Figshare DOI: 4056282 (linked below). Noted 1% discrepancy ($6B) in 2010 wages total - to follow up.#dataTotals - Salary and WagesYearWorkers (M)Earnings ($B) 20028.528520069.4372201010.2481201410.3584#dataTotal - Sole TradersYearWorkers (M)Sales ($B)Earnings ($B)20020.9611320061.0881920101.11122620141.19630#links See ATO request for data at ideascale link below.See original csv open data set (CC-BY) at data.gov.au link below.This database was used to create maps of change in regional employment - see Figshare link below (m9.figshare.4056282).#packageThis file package contains a database (analysing the open data) in SQL package and sample SQL text, interrogating the DB. DB name: test. There are 20 queries relating to Salary and Wages.#analysisThe database was analysed and outputs provided on Nectar(.org.au) resources at: http://118.138.240.130.(offline)This is only resourced for max 1 year, from July 2016, so will expire in June 2017. Hence the filing here. The sample home page is provided here (and pdf), but not all the supporting files, which may be packaged and added later. Until then all files are available at the Nectar URL. Nectar URL now offline - server files attached as package (html_backup[date].zip), including php scripts, html, csv, jpegs.#installIMPORT: DB SQL dump e.g. test_2016-12-20.sql (14.8Mb)1.Started MAMP on OSX.1.1 Go to PhpMyAdmin2. New Database: 3. Import: Choose file: test_2016-12-20.sql -> Go (about 15-20 seconds on MacBookPro 16Gb, 2.3 Ghz i5)4. four tables appeared: jobTitles 3,208 rows | salaryWages 209,697 rows | soleTrader 97,209 rows | stateNames 9 rowsplus views e.g. deltahair, Industrycodes, states5. Run test query under **#; Sum of Salary by SA4 e.g. 101 $4.7B, 102 $6.9B#sampleSQLselect sa4,(select sum(count) from salaryWageswhere year = '2014' and sa4 = sw.sa4) as thisYr14,(select sum(count) from salaryWageswhere year = '2010' and sa4 = sw.sa4) as thisYr10,(select sum(count) from salaryWageswhere year = '2006' and sa4 = sw.sa4) as thisYr06,(select sum(count) from salaryWageswhere year = '2002' and sa4 = sw.sa4) as thisYr02from salaryWages swgroup by sa4order by sa4

Australia PPI: Administrative & Support Services: Employment: Labour Supply data was reported at 134.400 2001-2002=100 in Jun 2012. This records an increase from the previous number of 134.300 2001-2002=100 for Mar 2012. Australia PPI: Administrative & Support Services: Employment: Labour Supply data is updated quarterly, averaging 116.900 2001-2002=100 from Sep 2001 (Median) to Jun 2012, with 44 observations. The data reached an all-time high of 134.400 2001-2002=100 in Jun 2012 and a record low of 99.300 2001-2002=100 in Sep 2001. Australia PPI: Administrative & Support Services: Employment: Labour Supply data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.I034: Producer Price Index: 1998-99=100: ANZSIC 2006: Services Industries.

Australia PPI: Output: Administrative & Support Services: Employment: Labor Supply data was reported at 126.500 2011-2012=100 in Mar 2025. This records an increase from the previous number of 126.000 2011-2012=100 for Dec 2024. Australia PPI: Output: Administrative & Support Services: Employment: Labor Supply data is updated quarterly, averaging 99.600 2011-2012=100 from Sep 1998 (Median) to Mar 2025, with 107 observations. The data reached an all-time high of 126.500 2011-2012=100 in Mar 2025 and a record low of 57.800 2011-2012=100 in Sep 1998. Australia PPI: Output: Administrative & Support Services: Employment: Labor Supply data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.I032: Producer Price Index: 2011-12=100: ANZSIC 2006: Services Industries.

Australia PPI: Administrative & Support Services: Employment data was reported at 142.500 1998-1999=100 in Jun 2012. This records a decrease from the previous number of 143.200 1998-1999=100 for Mar 2012. Australia PPI: Administrative & Support Services: Employment data is updated quarterly, averaging 113.500 1998-1999=100 from Sep 1998 (Median) to Jun 2012, with 56 observations. The data reached an all-time high of 143.200 1998-1999=100 in Mar 2012 and a record low of 99.600 1998-1999=100 in Dec 1998. Australia PPI: Administrative & Support Services: Employment data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.I034: Producer Price Index: 1998-99=100: ANZSIC 2006: Services Industries.

This dataset presents the social and economic indicators for the indigenous population of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical …Show full descriptionThis dataset presents the social and economic indicators for the indigenous population of Australia based on the 2016 Census and aggregated following the 2016 edition of the Australian Statistical Geography Standard (ASGS). The data has been provided by The National Centre for Social and Economic Modelling (NATSEM) and includes the following indicators: age, sex, employment, education level, occupation, school attendance, language, household relationships, family types, household tenure type, household income, motor vehicles and household family composition. All indicators were extracted from the ABS Tablebuilder system using the usual residence profile. For usual residence data, the ABS moves people back to where they live, rather than using the location the data were collected (place of enumeration). Usual residence data is preferred for individual level data because it removes the effect of respondents travelling or holidaying. All rates were calculated as a proportion of all Indigenous people in the area, excluding any Not Stated or Overseas Visitors. Therefore, summing the rates across all categories for an indicator will give a total of 100%. For more information please view the NATSEM Technical Report. Please note: AURIN has spatially enabled the original data provided directly from NATSEM. Where data values are NULL, the data is either unpublished or not applicable mathematically. Methodology between the 2016 NATSEM and 2011 OECD data release may have changed, please refer to the technical report for parity status and specific changes. Copyright attribution: University of Canberra - National Centre for Social and Economic Modelling, (2018): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution 4.0 International (CC BY 4.0)

This datasets presents regional estimates of the labour force of Local Government Area (LGA) regions for each quarter starting December 2010 up to September 2021. The boundaries used for the dataset follow the 2021 edition of the Australian Statistical Geography Standard (ASGS).

Small Area Labour Markets (SALM) presents regional estimates of unemployment and the unemployment rate at two small area levels:

• Approximately 2,200 ABS SA2s, on a State/Territory and Metropolitan/Non-metropolitan basis. Estimates for the Capital City and the Rest of State are provided for the States and the Northern Territory.

• For approximately 540 Australian LGAs.

The SALM Estimates have been smoothed using a four-quarter average to minimise the variability inherent in small area estimates. A description of the methodology used to prepare the estimates in this publication is available on the Explanatory Notes page.

Caution: Highly disaggregated estimates of unemployment and the unemployment rate at the SA2 and LGA level can display significant variability and should be viewed with caution, particularly in regions where the SA4 level unemployment data are showing considerable volatility. As a result, quarter-to-quarter comparisons may not indicate actual movements in the labour market so we recommend using year-on-year comparisons. Even then, large movements in the SA2 and LGA data should be viewed with caution.

The COVID-19 pandemic began to have a significant impact on the Australian labour market from March 2020, when Australia recorded its 100th COVID-19 case and the initial shutdown of non-essential services and trading restrictions took effect. Learn more about the dataset at the LMIP (Labour Market Information Portal).

AURIN has spatially enabled the original data. Smoothed Estimates are not available for all SA2s and LGAs, for more information see the SALM 2016 ASGS Changeover User Guide.