In May 2023, full-time workers in Australia worked a total of around 1.6 million hours throughout the month. The number of hours worked for both full-time and part-time workers appears to have been affected negatively by coronavirus lockdowns and increases in confirmed cases throughout 2020 and 2021.

Australia Hours Worked per Person Employed data was reported at 1,620.423 Hour in 2026. This records a decrease from the previous number of 1,624.415 Hour for 2025. Australia Hours Worked per Person Employed data is updated yearly, averaging 1,729.308 Hour from Dec 1978 (Median) to 2026, with 49 observations. The data reached an all-time high of 1,821.925 Hour in 1979 and a record low of 1,618.356 Hour in 2020. Australia Hours Worked per Person Employed data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Australia – Table AU.OECD.EO: Hours Worked, Unit Labour Cost and Labour Compensation: Forecast: OECD Member: Annual. HRS - Hours worked per worker, total economySeries not forecasted; Computed from total hours worked and total employment

Forecast: Total Hours Worked in Business Services in Australia 2024 - 2028 Discover more data with ReportLinker!

Australia Actual Hours Worked data was reported at 467,195.867 Hour th in Mar 2025. This records a decrease from the previous number of 477,103.393 Hour th for Feb 2025. Australia Actual Hours Worked data is updated monthly, averaging 306,039.069 Hour th from Feb 1978 (Median) to Mar 2025, with 566 observations. The data reached an all-time high of 486,917.923 Hour th in Dec 2024 and a record low of 156,532.031 Hour th in Jan 1983. Australia Actual Hours Worked 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.G053: Actual Hours Worked. [COVID-19-IMPACT]

Australia Total Hours Worked in Sports Activities, Amusement and Recreation Activities grew 1.9% in 2019, from a year earlier.

SA3 based data for Industry of Employment by Hours Worked by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W11 is broken up into 4 sections (W11a - W11d), this section contains 'Persons Other services Number of hours worked None' - 'Persons Total Number of hours worked Total'. The data is by SA3 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

SA4 based data for Status in Employment by Hours Worked by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W03 is broken up into 5 sections (W03a - W03e), this section contains 'Total 65-69 years Number of hours worked None' - 'Total Total Total'. The data is by SA4 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

SA2 based data for Industry of Employment by Hours Worked by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W11 is broken up into 4 sections (W11a - W11d), this section contains 'Males Total Number of hours worked None' - 'Females Other services Number of hours worked Total'. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

Australia Aggregate Monthly Hours Worked: Trend data was reported at 1,972,259.128 Hour th in Mar 2025. This records an increase from the previous number of 1,972,231.292 Hour th for Feb 2025. Australia Aggregate Monthly Hours Worked: Trend data is updated monthly, averaging 1,307,986.276 Hour th from Jul 1978 (Median) to Mar 2025, with 561 observations. The data reached an all-time high of 1,972,259.128 Hour th in Mar 2025 and a record low of 906,623.722 Hour th in Jul 1978. Australia Aggregate Monthly Hours Worked: Trend 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.G052: Aggregate Monthly Hours Worked.

LGA based data for Occupation by Total Personal Income (Weekly) by Hours Worked, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W17 is broken up into 8 sections (W17a - W17h), this section contains 'Occupation inadequately described Not stated $2000-$2999 Number of hours worked None' - 'Total Total Number of hours worked Total'. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

LGA based data for Industry of Employment by Hours Worked by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W11 is broken up into 4 sections (W11a - W11d), this section contains 'Males Total Number of hours worked None' - 'Females Other services Number of hours worked Total'. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

GCCSA based data for Industry of Employment by Hours Worked by Sex, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W11 is broken up into 4 sections (W11a - W11d), this section contains 'Persons Other services Number of hours worked None' - 'Persons Total Number of hours worked Total'. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

This report analyses trends in the total number of workers employed on a full-time basis in Australia. Full-time workers are defined as employed persons aged 15 and over, who work at least 35 hours per week. The 35 hours do not have to be spent in the same job, so someone working multiple part-time jobs is considered to be working full-time. The data for this report is sourced from the Australian Bureau of Statistics (ABS), and is seasonally adjusted data presented in financial years and is an average of monthly statistics.

GCCSA based data for Status in Employment by Hours Worked by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W03 is broken up into 5 sections (W03a - W03e), this section contains 'Total 65-69 years Number of hours worked None' - 'Total Total Total'. The data is by GCCSA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

LGA based data for Occupation by Total Personal Income (Weekly) by Hours Worked, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W17 is broken up into 8 sections (W17a - W17h), this section contains 'Machinery operators and drivers $400-$499 Number of hours worked None' - 'Labourers $800-$999 Number of hours worked Total'. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

Australia Actual Hours Worked: Average per Employed Person: Females: 35-39 Hours data was reported at 37.271 Hour in Mar 2025. This records a decrease from the previous number of 37.295 Hour for Feb 2025. Australia Actual Hours Worked: Average per Employed Person: Females: 35-39 Hours data is updated monthly, averaging 37.081 Hour from Jan 1991 (Median) to Mar 2025, with 411 observations. The data reached an all-time high of 37.352 Hour in Jul 2024 and a record low of 36.466 Hour in Apr 1993. Australia Actual Hours Worked: Average per Employed Person: Females: 35-39 Hours 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.G053: Actual Hours Worked.

SA2 based data for Status in Employment by Hours Worked by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W03 is broken up into 5 sections (W03a - W03e), this section contains 'Total 65-69 years Number of hours worked None' - 'Total Total Total'. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

Graph and download economic data for Hourly Earnings: Earnings: Economic Activity: Manufacturing: Total Economy for Australia (LCEAMN01AUQ661S) from Q4 1983 to Q4 2024 about Australia, compensation, earnings, hours, and manufacturing.

LGA based data for Status in Employment by Hours Worked by Age, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. W03 is broken up into 5 sections (W03a - W03e), this section contains 'Total 65-69 years Number of hours worked None' - 'Total Total Total'. The data is by LGA 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.

SA2 based data for Occupation by Total Personal Income (Weekly) by Hours Worked, in Working Population Profile (WPP), 2016 Census. Count of employed persons aged 15 years and over. Hours worked is an aggregate of the number of hours worked in all jobs during the week prior to Census Night. W17 is broken up into 8 sections (W17a - W17h), this section contains 'Technicians and trades workers $1000-$1249 Number of hours worked None' - 'Community and personal service workers $1750-$1999 Number of hours worked Total'. The data is by SA2 2016 boundaries. Periodicity: 5-Yearly. Note: There are small random adjustments made to all cell values to protect the confidentiality of data. These adjustments may cause the sum of rows or columns to differ by small amounts from table totals. For more information visit the data source: http://www.abs.gov.au/census.