This Gender indicators page is updated twice a year, with gender pay gap indicators from the Average Weekly Earnings (AWE) survey updated in February and August to coincide with the release of AWE. Labour Force Survey indicators are also included in these updates. Other indicators are updated in either February or August. Links on the indicator cards and graphs will take you to the latest data.
Gender indicators
Latest release
Key economic and social indicators comparing males and females including gender pay gap and life expectancy
Key Indicators
Gender pay gap measures
Gender pay gap indicator notes
The gender pay gap is the difference in the earnings of men and women, expressed as a proportion of men's earnings. Analysing the gender pay gap is complex and there is no single measure that can provide a complete picture. For further information, please see Gender pay gap guide.
The two key ABS sources of data for these measures are Employee Earnings and Hours (EEH), which is published every 2 years; and Average Weekly Earnings (AWE), published every 6 months.
Presented are four ABS indicators that provide a high-level snapshot of the gender pay gap.
1. Median hourly cash earnings (EEH) – generally the smallest gender pay gap
2. Mean hourly cash earnings (EEH)
3. Median weekly cash earnings (EEH)
4. Mean weekly cash earnings (AWE) – generally the largest gender pay gap.
In addition, the following ABS indicators, based on the ordinary time earnings of full-time adult employees are also presented:
5. Mean weekly ordinary time earnings of full-time adult employees (AWE) - the commonly cited measure of the gender pay gap.
6. Mean weekly ordinary time cash earnings of full-time adult employees (AWE) - the 'cash earnings’ equivalent of the traditionally cited measure, which includes amounts salary sacrificed.
Median
- The median is the most representative measure of the average earnings of employees.
- The median is the midpoint of the earnings distribution where half of people earn more than the median earnings value and half earn less than the median earnings value.
Mean
- The mean is total earnings divided by the number of employees.
- Mean earnings show a positive skew, caused by a small number of people earning much higher incomes. This is more evident in male than female earnings.
Hourly
- Hourly measures provide a common period for comparison, removing the effect of differences in hours worked.
- Males work more paid hours each week, on average, than females.
Weekly
- Weekly measures are affected by differences in paid hours worked and work patterns.
- Almost half of all employed females work part-time.
| Median hourly cash earnings (EEH) (%) | Mean hourly cash earnings (EEH) (%) | Median weekly cash earnings (EEH) (%) | Mean weekly cash earnings (AWE) (%) | Mean weekly ordinary time cash earnings of full-time adult employees (AWE) (%) | Commonly cited mesaure (AWE)(a) (%) | |
|---|---|---|---|---|---|---|
| May-14 | 12.8 | 16.1 | 31.2 | 34.2 | 17.1 | 18.3 |
| Aug-14 | ||||||
| Nov-14 | 34.2 | 17.3 | 18.6 | |||
| Feb-15 | ||||||
| May-15 | 32.6 | 16.6 | 17.9 | |||
| Aug-15 | ||||||
| Nov-15 | 32.2 | 15.9 | 17.2 | |||
| Feb-16 | ||||||
| May-16 | 10.8 | 13.5 | 28.8 | 32.5 | 15.1 | 16.2 |
| Aug-16 | ||||||
| Nov-16 | 32.1 | 14.7 | 16.0 | |||
| Feb-17 | ||||||
| May-17 | 32.1 | 14.2 | 15.3 | |||
| Aug-17 | ||||||
| Nov-17 | 31.6 | 14.0 | 15.3 | |||
| Feb-18 | ||||||
| May-18 | 12.0 | 14.3 | 29.2 | 31.3 | 13.3 | 14.5 |
| Aug-18 | ||||||
| Nov-18 | 30.6 | 12.8 | 14.1 | |||
| Feb-19 | ||||||
| May-19 | 30.2 | 12.7 | 14.0 | |||
| Aug-19 | ||||||
| Nov-19 | 30.0 | 12.5 | 13.9 | |||
| Feb-20 | ||||||
| May-20 | 28.3 | 12.7 | 14.0 | |||
| Aug-20 | ||||||
| Nov-20 | 30.0 | 12.1 | 13.4 | |||
| Feb-21 | ||||||
| May-21 | 8.8 | 11.6 | 25.0 | 30.0 | 13.0 | 14.2 |
| Aug-21 | ||||||
| Nov-21 | 29.4 | 12.6 | 13.8 | |||
| Feb-22 | ||||||
| May-22 | 28.5 | 12.9 | 14.1 | |||
| Aug-22 | ||||||
| Nov-22 | 28.1 | 12.2 | 13.3 | |||
| Feb-23 | ||||||
| May-23 | 8.4 | 11.1 | 25.1 | 27.5 | 11.9 | 13.0 |
| Aug-23 | ||||||
| Nov-23 | 26.7 | 10.8 | 12.0 | |||
| Feb-24 | ||||||
| May-24 | 26.4 | 10.2 | 11.5 | |||
| Aug-24 | ||||||
| Nov-24 | 26.5 | 10.7 | 11.9 |
Gender pay gap measures
["","Median hourly cash earnings (EEH)","Mean hourly cash earnings (EEH)","Median weekly cash earnings (EEH)","Mean weekly cash earnings (AWE)","Mean weekly ordinary time cash earnings of full-time adult employees (AWE)","Commonly cited mesaure (AWE)(a)"]
[["May-14","Aug-14","Nov-14","Feb-15","May-15","Aug-15","Nov-15","Feb-16","May-16","Aug-16","Nov-16","Feb-17","May-17","Aug-17","Nov-17","Feb-18","May-18","Aug-18","Nov-18","Feb-19","May-19","Aug-19","Nov-19","Feb-20","May-20","Aug-20","Nov-20","Feb-21","May-21","Aug-21","Nov-21","Feb-22","May-22","Aug-22","Nov-22","Feb-23","May-23","Aug-23","Nov-23","Feb-24","May-24","Aug-24","Nov-24"],[[12.800000000000001],[null],[null],[null],[null],[null],[null],[null],[10.800000000000001],[null],[null],[null],[null],[null],[null],[null],[12],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[8.8000000000000007],[null],[null],[null],[null],[null],[null],[null],[8.4000000000000004],[null],[null],[null],[null],[null],[null]],[[16.100000000000001],[null],[null],[null],[null],[null],[null],[null],[13.5],[null],[null],[null],[null],[null],[null],[null],[14.300000000000001],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[11.6],[null],[null],[null],[null],[null],[null],[null],[11.1],[null],[null],[null],[null],[null],[null]],[[31.199999999999999],[null],[null],[null],[null],[null],[null],[null],[28.800000000000001],[null],[null],[null],[null],[null],[null],[null],[29.199999999999999],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[25],[null],[null],[null],[null],[null],[null],[null],[25.100000000000001],[null],[null],[null],[null],[null],[null]],[[34.200000000000003],[null],[34.200000000000003],[null],[32.600000000000001],[null],[32.200000000000003],[null],[32.5],[null],[32.100000000000001],[null],[32.100000000000001],[null],[31.600000000000001],[null],[31.300000000000001],[null],[30.600000000000001],[null],[30.199999999999999],[null],[30],[null],[28.300000000000001],[null],[30],[null],[30],[null],[29.399999999999999],[null],[28.5],[null],[28.100000000000001],[null],[27.5],[null],[26.699999999999999],[null],[26.399999999999999],[null],[26.5]],[[17.100000000000001],[null],[17.300000000000001],[null],[16.600000000000001],[null],[15.9],[null],[15.1],[null],[14.699999999999999],[null],[14.199999999999999],[null],[14],[null],[13.300000000000001],[null],[12.800000000000001],[null],[12.699999999999999],[null],[12.5],[null],[12.699999999999999],[null],[12.1],[null],[13],[null],[12.6],[null],[12.9],[null],[12.199999999999999],[null],[11.9],[null],[10.800000000000001],[null],[10.199999999999999],[null],[10.699999999999999]],[[18.300000000000001],[null],[18.600000000000001],[null],[17.899999999999999],[null],[17.199999999999999],[null],[16.199999999999999],[null],[16],[null],[15.300000000000001],[null],[15.300000000000001],[null],[14.5],[null],[14.1],[null],[14],[null],[13.9],[null],[14],[null],[13.4],[null],[14.199999999999999],[null],[13.800000000000001],[null],[14.1],[null],[13.300000000000001],[null],[13],[null],[12],[null],[11.5],[null],[11.9]]]
[]
[{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"2","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}][{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"0","axis_max":null,"tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]- Based on mean weekly ordinary time earnings of full-time adult employees from AWE. These measures exclude part-time employees and overtime earnings. The commonly cited measure also excludes amounts salary sacrificed. For further information, see Gender pay gap guide.
Data Source: Employee Earnings and Hours (published and unpublished) and Average Weekly Earnings.
| Males - Total earnings (a) ($) | Females - Total earnings (a) ($) | Males - Total cash earnings ($) | Females - Total cash earnings ($) | |
|---|---|---|---|---|
| Nov-95 | 664.80 | 430.90 | ||
| May-96 | 673.40 | 442.10 | ||
| Nov-96 | 681.00 | 447.70 | ||
| May-97 | 687.80 | 457.70 | ||
| Nov-97 | 709.50 | 466.10 | ||
| May-98 | 715.00 | 467.70 | ||
| Nov-98 | 723.20 | 475.40 | ||
| May-99 | 732.90 | 482.00 | ||
| Nov-99 | 741.40 | 481.70 | ||
| May-00 | 757.60 | 503.00 | ||
| Nov-00 | 768.00 | 510.20 | ||
| May-01 | 787.40 | 522.00 | ||
| Nov-01 | 808.90 | 528.40 | ||
| May-02 | 823.60 | 536.00 | ||
| Nov-02 | 845.30 | 545.70 | ||
| May-03 | 869.30 | 562.20 | ||
| Nov-03 | 891.80 | 572.90 | ||
| May-04 | 886.90 | 582.00 | ||
| Nov-04 | 908.00 | 597.10 | ||
| May-05 | 938.40 | 612.20 | ||
| Nov-05 | 958.50 | 624.90 | ||
| May-06 | 978.50 | 641.60 | ||
| Nov-06 | 1,007.70 | 654.70 | ||
| May-07 | 1,033.00 | 670.10 | ||
| Nov-07 | 1,051.70 | 683.40 | ||
| May-08 | 1,069.10 | 693.70 | ||
| Nov-08 | 1,101.10 | 715.30 | ||
| May-09 | 1,110.30 | 726.60 | ||
| Nov-09 | 1,162.70 | 744.20 | ||
| May-10 | 1,183.40 | 765.30 | 1,225.30 | 801.30 |
| Nov-10 | 1,210.90 | 783.80 | 1,253.60 | 820.10 |
| May-11 | 1,236.50 | 795.90 | 1,278.70 | 833.60 |
| Nov-11 | 1,255.00 | 808.10 | 1,294.70 | 845.70 |
| May-12 | 1,285.10 | 821.90 | 1,326.60 | 861.30 |
| Nov-12 | 1,324.30 | 840.00 | 1,358.40 | 876.20 |
| May-13 | 1,356.70 | 849.90 | 1,390.30 | 887.10 |
| Nov-13 | 1,347.90 | 872.60 | 1,383.50 | 911.20 |
| May-14 | 1,364.60 | 881.30 | 1,401.70 | 921.70 |
| Nov-14 | 1,371.50 | 887.90 | 1,410.20 | 928.60 |
| May-15 | 1,369.50 | 907.80 | 1,410.30 | 951.20 |
| Nov-15 | 1,374.80 | 914.80 | 1,416.30 | 959.60 |
| May-16 | 1,395.10 | 925.80 | 1,434.60 | 968.60 |
| Nov-16 | 1,397.90 | 932.40 | 1,434.80 | 974.70 |
| May-17 | 1,417.20 | 946.80 | 1,455.20 | 988.30 |
| Nov-17 | 1,427.80 | 959.50 | 1,459.50 | 999.00 |
| May-18 | 1,445.30 | 976.30 | 1,478.20 | 1,015.40 |
| Nov-18 | 1,460.50 | 996.30 | 1,492.60 | 1,036.60 |
| May-19 | 1,475.60 | 1,010.80 | 1,508.60 | 1,053.00 |
| Nov-19 | 1,498.20 | 1,027.80 | 1,531.30 | 1,071.30 |
| May-20 | 1,537.70 | 1,083.00 | 1,571.30 | 1,126.60 |
| Nov-20 | 1,526.60 | 1,050.60 | 1,558.10 | 1,091.20 |
| May-21 | 1,555.30 | 1,068.90 | 1,588.10 | 1,111.40 |
| Nov-21 | 1,577.10 | 1,093.80 | 1,609.40 | 1,136.70 |
| May-22 | 1,587.00 | 1,114.90 | 1,619.40 | 1,157.40 |
| Nov-22 | 1,621.20 | 1,146.10 | 1,651.80 | 1,187.20 |
| May-23 | 1,640.90 | 1,168.80 | 1,672.90 | 1,212.50 |
| Nov-23 | 1,672.70 | 1,204.40 | 1,704.50 | 1,249.10 |
| May-24 | 1,723.80 | 1,246.40 | 1,758.40 | 1,295.00 |
| Nov-24 | 1,759.70 | 1,270.70 | 1,795.40 | 1,319.70 |
Average weekly earnings, by sex
["","Males - Total earnings (a)","Females - Total earnings (a)","Males - Total cash earnings","Females - Total cash earnings"]
[["Nov-95","May-96","Nov-96","May-97","Nov-97","May-98","Nov-98","May-99","Nov-99","May-00","Nov-00","May-01","Nov-01","May-02","Nov-02","May-03","Nov-03","May-04","Nov-04","May-05","Nov-05","May-06","Nov-06","May-07","Nov-07","May-08","Nov-08","May-09","Nov-09","May-10","Nov-10","May-11","Nov-11","May-12","Nov-12","May-13","Nov-13","May-14","Nov-14","May-15","Nov-15","May-16","Nov-16","May-17","Nov-17","May-18","Nov-18","May-19","Nov-19","May-20","Nov-20","May-21","Nov-21","May-22","Nov-22","May-23","Nov-23","May-24","Nov-24"],[[664.79999999999995],[673.39999999999998],[681],[687.79999999999995],[709.5],[715],[723.20000000000005],[732.89999999999998],[741.39999999999998],[757.60000000000002],[768],[787.39999999999998],[808.89999999999998],[823.60000000000002],[845.29999999999995],[869.29999999999995],[891.79999999999995],[886.89999999999998],[908],[938.39999999999998],[958.5],[978.5],[1007.7],[1033],[1051.7],[1069.0999999999999],[1101.0999999999999],[1110.3],[1162.7],[1183.4000000000001],[1210.9000000000001],[1236.5],[1255],[1285.0999999999999],[1324.3],[1356.7],[1347.9000000000001],[1364.5999999999999],[1371.5],[1369.5],[1374.8],[1395.0999999999999],[1397.9000000000001],[1417.2],[1427.8],[1445.3],[1460.5],[1475.5999999999999],[1498.2],[1537.7],[1526.5999999999999],[1555.3],[1577.0999999999999],[1587],[1621.2],[1640.9000000000001],[1672.7],[1723.8],[1759.7]],[[430.89999999999998],[442.10000000000002],[447.69999999999999],[457.69999999999999],[466.10000000000002],[467.69999999999999],[475.39999999999998],[482],[481.69999999999999],[503],[510.19999999999999],[522],[528.39999999999998],[536],[545.70000000000005],[562.20000000000005],[572.89999999999998],[582],[597.10000000000002],[612.20000000000005],[624.89999999999998],[641.60000000000002],[654.70000000000005],[670.10000000000002],[683.39999999999998],[693.70000000000005],[715.29999999999995],[726.60000000000002],[744.20000000000005],[765.29999999999995],[783.79999999999995],[795.89999999999998],[808.10000000000002],[821.89999999999998],[840],[849.89999999999998],[872.60000000000002],[881.29999999999995],[887.89999999999998],[907.79999999999995],[914.79999999999995],[925.79999999999995],[932.39999999999998],[946.79999999999995],[959.5],[976.29999999999995],[996.29999999999995],[1010.8],[1027.8],[1083],[1050.5999999999999],[1068.9000000000001],[1093.8],[1114.9000000000001],[1146.0999999999999],[1168.8],[1204.4000000000001],[1246.4000000000001],[1270.7]],[[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[1225.3],[1253.5999999999999],[1278.7],[1294.7],[1326.5999999999999],[1358.4000000000001],[1390.3],[1383.5],[1401.7],[1410.2],[1410.3],[1416.3],[1434.5999999999999],[1434.8],[1455.2],[1459.5],[1478.2],[1492.5999999999999],[1508.5999999999999],[1531.3],[1571.3],[1558.0999999999999],[1588.0999999999999],[1609.4000000000001],[1619.4000000000001],[1651.8],[1672.9000000000001],[1704.5],[1758.4000000000001],[1795.4000000000001]],[[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[801.29999999999995],[820.10000000000002],[833.60000000000002],[845.70000000000005],[861.29999999999995],[876.20000000000005],[887.10000000000002],[911.20000000000005],[921.70000000000005],[928.60000000000002],[951.20000000000005],[959.60000000000002],[968.60000000000002],[974.70000000000005],[988.29999999999995],[999],[1015.4],[1036.5999999999999],[1053],[1071.3],[1126.5999999999999],[1091.2],[1111.4000000000001],[1136.7],[1157.4000000000001],[1187.2],[1212.5],[1249.0999999999999],[1295],[1319.7]]]
[]
[{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":"1","axis_max":null,"tick_interval":"1","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}][{"value":"0","axis_id":"0","axis_title":"$","axis_units":"","tooltip_units":"($)","table_units":"($)","axis_min":"0","axis_max":null,"tick_interval":null,"precision":"2","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]- Excludes amounts salary sacrificed.
Data Source
Work
Work indicator notes
Employment to population ratio
- Seasonally adjusted estimates i.e., effects of normal seasonal variation have been removed.
- Employed persons 15 years and over as a percentage of the civilian population aged 15 years and over.
Labour force participation rate
- Seasonally adjusted estimates i.e., effects of normal seasonal variation have been removed.
- For any group, the labour force (employed plus unemployed), expressed as a percentage of the civilian population aged 15 years and over in the same group.
Weekly hours usually worked
- Original estimates used i.e., effects of normal seasonal variation have not been removed.
More information on these items available in Labour Force, Australia methodology.
Employment to population ratio of people with disability
- Employed people aged 15-64 years with disability as a percentage of the the total population aged 15-64 with a disability.
- In the Survey of Disability, Ageing and Carers, a person has a disability if they report they have a limitation, restriction or impairment, which has lasted, or is likely to last, for at least six months and restricts everyday activities.
Labour force participation rate of people with disability
- People aged 15-64 years with disability in the labour force (employed plus unemployed), expressed as a percentage of the total population aged 15-64 with disability.
- In the Survey of Disability, Ageing and Carers, a person has a disability if they report they have a limitation, restriction or impairment, which has lasted, or is likely to last, for at least six months and restricts everyday activities.
More information on these items available in Disability, Ageing and Carers, Australia methodology.
Median superannuation balance
- For people aged 65 years and over.
- Superannuation account balance in 2019-20 dollars, adjusted using changes in the Consumer Price Index.
More information available in Household Income and Wealth, Australia methodology.
| Males (%) | Females (%) | |
|---|---|---|
| Dec-82 | 70.3 | 40.1 |
| Jan-83 | 70.1 | 40.1 |
| Feb-83 | 69.8 | 40.0 |
| Mar-83 | 69.2 | 39.8 |
| Apr-83 | 69.0 | 39.5 |
| May-83 | 69.0 | 39.9 |
| Jun-83 | 68.9 | 39.9 |
| Jul-83 | 68.8 | 40.0 |
| Aug-83 | 68.8 | 39.9 |
| Sep-83 | 69.1 | 40.0 |
| Oct-83 | 69.0 | 40.0 |
| Nov-83 | 69.2 | 40.3 |
| Dec-83 | 69.4 | 40.4 |
| Jan-84 | 69.3 | 40.3 |
| Feb-84 | 69.4 | 40.2 |
| Mar-84 | 69.9 | 40.6 |
| Apr-84 | 69.6 | 40.7 |
| May-84 | 69.7 | 40.9 |
| Jun-84 | 69.8 | 41.1 |
| Jul-84 | 69.8 | 41.0 |
| Aug-84 | 69.5 | 41.1 |
| Sep-84 | 69.5 | 41.5 |
| Oct-84 | 69.4 | 41.3 |
| Nov-84 | 69.6 | 41.3 |
| Dec-84 | 69.3 | 41.5 |
| Jan-85 | 69.2 | 41.4 |
| Feb-85 | 69.6 | 41.9 |
| Mar-85 | 69.3 | 41.7 |
| Apr-85 | 69.4 | 41.6 |
| May-85 | 69.5 | 41.9 |
| Jun-85 | 69.4 | 42.1 |
| Jul-85 | 69.3 | 42.4 |
| Aug-85 | 69.8 | 42.4 |
| Sep-85 | 70.2 | 42.5 |
| Oct-85 | 69.8 | 42.5 |
| Nov-85 | 70.6 | 43.1 |
| Dec-85 | 70.0 | 43.0 |
| Jan-86 | 70.3 | 43.3 |
| Feb-86 | 70.2 | 43.5 |
| Mar-86 | 70.2 | 43.5 |
| Apr-86 | 70.3 | 44.3 |
| May-86 | 70.1 | 44.2 |
| Jun-86 | 70.5 | 44.2 |
| Jul-86 | 69.9 | 44.3 |
| Aug-86 | 69.9 | 43.9 |
| Sep-86 | 69.9 | 44.1 |
| Oct-86 | 69.6 | 44.5 |
| Nov-86 | 69.4 | 44.4 |
| Dec-86 | 69.5 | 44.3 |
| Jan-87 | 69.3 | 44.3 |
| Feb-87 | 69.4 | 44.6 |
| Mar-87 | 69.5 | 44.4 |
| Apr-87 | 69.5 | 44.5 |
| May-87 | 69.3 | 44.5 |
| Jun-87 | 69.6 | 44.6 |
| Jul-87 | 69.9 | 44.9 |
| Aug-87 | 69.7 | 44.6 |
| Sep-87 | 69.3 | 44.6 |
| Oct-87 | 69.1 | 45.0 |
| Nov-87 | 69.0 | 44.8 |
| Dec-87 | 69.6 | 45.2 |
| Jan-88 | 70.0 | 45.5 |
| Feb-88 | 69.8 | 45.3 |
| Mar-88 | 70.1 | 45.6 |
| Apr-88 | 70.2 | 45.8 |
| May-88 | 69.9 | 45.6 |
| Jun-88 | 70.0 | 45.6 |
| Jul-88 | 70.1 | 45.5 |
| Aug-88 | 69.9 | 46.1 |
| Sep-88 | 70.1 | 46.3 |
| Oct-88 | 70.1 | 46.3 |
| Nov-88 | 70.4 | 46.2 |
| Dec-88 | 70.4 | 46.6 |
| Jan-89 | 70.5 | 46.8 |
| Feb-89 | 70.7 | 47.1 |
| Mar-89 | 70.8 | 47.2 |
| Apr-89 | 71.1 | 47.2 |
| May-89 | 71.3 | 47.7 |
| Jun-89 | 71.2 | 47.7 |
| Jul-89 | 71.3 | 47.7 |
| Aug-89 | 71.4 | 48.0 |
| Sep-89 | 71.3 | 48.1 |
| Oct-89 | 71.3 | 48.1 |
| Nov-89 | 71.6 | 48.4 |
| Dec-89 | 71.1 | 48.4 |
| Jan-90 | 71.3 | 48.3 |
| Feb-90 | 71.0 | 48.5 |
| Mar-90 | 70.9 | 48.6 |
| Apr-90 | 70.9 | 48.6 |
| May-90 | 71.1 | 48.8 |
| Jun-90 | 70.9 | 48.7 |
| Jul-90 | 70.6 | 48.9 |
| Aug-90 | 70.4 | 48.5 |
| Sep-90 | 70.2 | 48.2 |
| Oct-90 | 69.8 | 48.2 |
| Nov-90 | 69.4 | 48.2 |
| Dec-90 | 69.3 | 48.2 |
| Jan-91 | 68.6 | 47.7 |
| Feb-91 | 68.6 | 47.8 |
| Mar-91 | 68.0 | 47.4 |
| Apr-91 | 67.6 | 47.5 |
| May-91 | 67.6 | 47.4 |
| Jun-91 | 67.1 | 47.3 |
| Jul-91 | 66.7 | 47.1 |
| Aug-91 | 66.7 | 47.1 |
| Sep-91 | 66.7 | 47.1 |
| Oct-91 | 66.4 | 46.8 |
| Nov-91 | 66.4 | 46.5 |
| Dec-91 | 66.3 | 46.8 |
| Jan-92 | 66.2 | 46.9 |
| Feb-92 | 66.2 | 47.0 |
| Mar-92 | 66.0 | 46.8 |
| Apr-92 | 66.0 | 46.6 |
| May-92 | 65.8 | 46.6 |
| Jun-92 | 65.8 | 46.8 |
| Jul-92 | 65.8 | 46.9 |
| Aug-92 | 65.9 | 47.0 |
| Sep-92 | 65.5 | 46.8 |
| Oct-92 | 65.5 | 46.8 |
| Nov-92 | 64.7 | 46.4 |
| Dec-92 | 65.0 | 46.5 |
| Jan-93 | 65.3 | 46.8 |
| Feb-93 | 64.7 | 46.3 |
| Mar-93 | 65.1 | 46.5 |
| Apr-93 | 64.8 | 46.4 |
| May-93 | 64.9 | 46.3 |
| Jun-93 | 65.0 | 46.3 |
| Jul-93 | 65.0 | 46.2 |
| Aug-93 | 64.9 | 46.5 |
| Sep-93 | 65.1 | 46.5 |
| Oct-93 | 65.3 | 46.9 |
| Nov-93 | 65.4 | 46.9 |
| Dec-93 | 65.5 | 47.0 |
| Jan-94 | 65.6 | 47.0 |
| Feb-94 | 65.6 | 47.3 |
| Mar-94 | 65.6 | 47.3 |
| Apr-94 | 65.8 | 47.1 |
| May-94 | 66.0 | 47.4 |
| Jun-94 | 66.2 | 47.5 |
| Jul-94 | 66.6 | 48.0 |
| Aug-94 | 66.5 | 47.8 |
| Sep-94 | 66.6 | 48.3 |
| Oct-94 | 66.7 | 48.0 |
| Nov-94 | 66.6 | 48.1 |
| Dec-94 | 67.0 | 48.3 |
| Jan-95 | 67.0 | 48.4 |
| Feb-95 | 67.4 | 48.5 |
| Mar-95 | 67.2 | 48.7 |
| Apr-95 | 67.4 | 49.1 |
| May-95 | 67.2 | 49.3 |
| Jun-95 | 67.3 | 49.6 |
| Jul-95 | 67.3 | 49.5 |
| Aug-95 | 67.5 | 49.5 |
| Sep-95 | 67.5 | 49.3 |
| Oct-95 | 67.0 | 49.5 |
| Nov-95 | 67.6 | 49.8 |
| Dec-95 | 67.4 | 49.8 |
| Jan-96 | 67.4 | 49.8 |
| Feb-96 | 67.5 | 49.5 |
| Mar-96 | 67.0 | 49.5 |
| Apr-96 | 67.3 | 49.5 |
| May-96 | 67.4 | 49.4 |
| Jun-96 | 67.4 | 49.3 |
| Jul-96 | 67.3 | 49.3 |
| Aug-96 | 67.1 | 49.2 |
| Sep-96 | 67.0 | 49.1 |
| Oct-96 | 66.8 | 49.3 |
| Nov-96 | 66.9 | 49.1 |
| Dec-96 | 66.9 | 49.3 |
| Jan-97 | 66.9 | 49.3 |
| Feb-97 | 66.7 | 49.4 |
| Mar-97 | 66.7 | 49.2 |
| Apr-97 | 66.6 | 49.2 |
| May-97 | 66.6 | 49.1 |
| Jun-97 | 66.6 | 49.0 |
| Jul-97 | 66.5 | 49.2 |
| Aug-97 | 66.4 | 49.0 |
| Sep-97 | 66.6 | 49.5 |
| Oct-97 | 66.7 | 49.2 |
| Nov-97 | 67.1 | 49.5 |
| Dec-97 | 67.0 | 49.4 |
| Jan-98 | 67.0 | 49.2 |
| Feb-98 | 66.9 | 49.3 |
| Mar-98 | 66.8 | 49.3 |
| Apr-98 | 67.0 | 49.6 |
| May-98 | 66.9 | 49.5 |
| Jun-98 | 66.8 | 49.7 |
| Jul-98 | 66.7 | 49.9 |
| Aug-98 | 66.6 | 50.0 |
| Sep-98 | 67.2 | 50.0 |
| Oct-98 | 67.1 | 50.1 |
| Nov-98 | 67.0 | 49.8 |
| Dec-98 | 66.8 | 50.1 |
| Jan-99 | 66.9 | 49.8 |
| Feb-99 | 67.0 | 49.7 |
| Mar-99 | 67.2 | 49.7 |
| Apr-99 | 67.0 | 49.8 |
| May-99 | 66.9 | 49.7 |
| Jun-99 | 67.3 | 49.9 |
| Jul-99 | 67.2 | 50.1 |
| Aug-99 | 67.2 | 50.0 |
| Sep-99 | 67.1 | 50.2 |
| Oct-99 | 67.2 | 50.5 |
| Nov-99 | 67.2 | 50.5 |
| Dec-99 | 67.2 | 50.8 |
| Jan-00 | 67.0 | 50.2 |
| Feb-00 | 67.3 | 50.4 |
| Mar-00 | 67.3 | 50.9 |
| Apr-00 | 67.5 | 51.1 |
| May-00 | 67.4 | 51.1 |
| Jun-00 | 67.5 | 51.3 |
| Jul-00 | 67.9 | 51.9 |
| Aug-00 | 67.6 | 52.0 |
| Sep-00 | 67.7 | 51.7 |
| Oct-00 | 67.4 | 51.5 |
| Nov-00 | 67.2 | 50.9 |
| Dec-00 | 67.2 | 51.3 |
| Jan-01 | 67.2 | 51.3 |
| Feb-01 | 66.9 | 51.3 |
| Mar-01 | 66.6 | 51.5 |
| Apr-01 | 66.8 | 51.8 |
| May-01 | 66.8 | 51.6 |
| Jun-01 | 66.7 | 51.6 |
| Jul-01 | 66.9 | 51.5 |
| Aug-01 | 66.9 | 51.7 |
| Sep-01 | 66.8 | 51.4 |
| Oct-01 | 66.8 | 51.5 |
| Nov-01 | 66.9 | 51.7 |
| Dec-01 | 66.8 | 51.4 |
| Jan-02 | 66.7 | 51.6 |
| Feb-02 | 67.0 | 51.7 |
| Mar-02 | 66.9 | 51.7 |
| Apr-02 | 66.9 | 51.4 |
| May-02 | 67.0 | 51.4 |
| Jun-02 | 67.2 | 51.5 |
| Jul-02 | 67.1 | 51.5 |
| Aug-02 | 67.1 | 52.1 |
| Sep-02 | 67.0 | 52.0 |
| Oct-02 | 67.0 | 52.1 |
| Nov-02 | 67.3 | 52.3 |
| Dec-02 | 67.4 | 52.6 |
| Jan-03 | 67.4 | 53.0 |
| Feb-03 | 67.5 | 53.1 |
| Mar-03 | 67.3 | 52.5 |
| Apr-03 | 67.0 | 52.7 |
| May-03 | 67.1 | 52.7 |
| Jun-03 | 66.9 | 52.5 |
| Jul-03 | 66.8 | 52.3 |
| Aug-03 | 67.3 | 52.5 |
| Sep-03 | 67.3 | 52.4 |
| Oct-03 | 67.5 | 52.4 |
| Nov-03 | 67.5 | 52.3 |
| Dec-03 | 67.8 | 52.2 |
| Jan-04 | 67.8 | 52.1 |
| Feb-04 | 67.7 | 52.1 |
| Mar-04 | 67.6 | 52.4 |
| Apr-04 | 67.6 | 52.4 |
| May-04 | 67.7 | 52.4 |
| Jun-04 | 67.7 | 52.4 |
| Jul-04 | 67.6 | 52.5 |
| Aug-04 | 67.3 | 52.6 |
| Sep-04 | 67.7 | 52.7 |
| Oct-04 | 67.8 | 53.1 |
| Nov-04 | 68.0 | 53.3 |
| Dec-04 | 68.0 | 53.3 |
| Jan-05 | 68.3 | 53.5 |
| Feb-05 | 68.3 | 53.6 |
| Mar-05 | 68.4 | 53.8 |
| Apr-05 | 68.7 | 53.9 |
| May-05 | 68.5 | 53.8 |
| Jun-05 | 68.7 | 54.0 |
| Jul-05 | 68.6 | 54.1 |
| Aug-05 | 68.9 | 54.3 |
| Sep-05 | 68.7 | 54.1 |
| Oct-05 | 68.5 | 54.2 |
| Nov-05 | 68.5 | 54.2 |
| Dec-05 | 68.4 | 54.2 |
| Jan-06 | 68.3 | 54.2 |
| Feb-06 | 68.5 | 54.2 |
| Mar-06 | 68.7 | 54.3 |
| Apr-06 | 68.6 | 54.3 |
| May-06 | 68.6 | 54.6 |
| Jun-06 | 68.8 | 54.7 |
| Jul-06 | 69.0 | 55.0 |
| Aug-06 | 69.0 | 55.0 |
| Sep-06 | 69.2 | 55.2 |
| Oct-06 | 69.0 | 54.8 |
| Nov-06 | 69.1 | 55.0 |
| Dec-06 | 69.4 | 55.1 |
| Jan-07 | 69.2 | 55.0 |
| Feb-07 | 69.2 | 55.0 |
| Mar-07 | 69.4 | 55.0 |
| Apr-07 | 69.5 | 55.0 |
| May-07 | 69.6 | 55.2 |
| Jun-07 | 69.8 | 55.1 |
| Jul-07 | 69.7 | 55.3 |
| Aug-07 | 69.8 | 55.4 |
| Sep-07 | 69.8 | 55.6 |
| Oct-07 | 69.4 | 55.6 |
| Nov-07 | 69.8 | 55.7 |
| Dec-07 | 69.7 | 55.8 |
| Jan-08 | 69.9 | 55.7 |
| Feb-08 | 70.0 | 55.8 |
| Mar-08 | 69.8 | 55.9 |
| Apr-08 | 69.8 | 56.2 |
| May-08 | 69.6 | 55.8 |
| Jun-08 | 70.0 | 55.8 |
| Jul-08 | 69.7 | 56.0 |
| Aug-08 | 69.9 | 56.1 |
| Sep-08 | 69.7 | 55.8 |
| Oct-08 | 69.6 | 55.8 |
| Nov-08 | 69.4 | 55.8 |
| Dec-08 | 69.1 | 55.9 |
| Jan-09 | 68.8 | 56.0 |
| Feb-09 | 68.6 | 56.0 |
| Mar-09 | 68.2 | 55.7 |
| Apr-09 | 68.3 | 55.8 |
| May-09 | 67.9 | 55.7 |
| Jun-09 | 67.8 | 55.5 |
| Jul-09 | 68.0 | 55.6 |
| Aug-09 | 68.0 | 55.3 |
| Sep-09 | 68.1 | 55.2 |
| Oct-09 | 68.0 | 55.3 |
| Nov-09 | 68.0 | 55.4 |
| Dec-09 | 68.3 | 55.4 |
| Jan-10 | 68.6 | 55.5 |
| Feb-10 | 68.5 | 55.2 |
| Mar-10 | 68.2 | 55.3 |
| Apr-10 | 68.4 | 55.2 |
| May-10 | 68.2 | 55.2 |
| Jun-10 | 68.5 | 55.4 |
| Jul-10 | 68.5 | 55.5 |
| Aug-10 | 68.8 | 55.5 |
| Sep-10 | 68.9 | 55.6 |
| Oct-10 | 68.9 | 55.6 |
| Nov-10 | 69.2 | 55.8 |
| Dec-10 | 69.2 | 55.8 |
| Jan-11 | 69.4 | 55.8 |
| Feb-11 | 69.1 | 55.6 |
| Mar-11 | 69.0 | 55.9 |
| Apr-11 | 68.6 | 55.8 |
| May-11 | 68.6 | 55.6 |
| Jun-11 | 68.5 | 55.9 |
| Jul-11 | 68.4 | 55.8 |
| Aug-11 | 68.4 | 55.8 |
| Sep-11 | 68.4 | 55.9 |
| Oct-11 | 68.3 | 55.9 |
| Nov-11 | 68.4 | 55.7 |
| Dec-11 | 68.3 | 55.3 |
| Jan-12 | 68.7 | 55.6 |
| Feb-12 | 68.2 | 55.5 |
| Mar-12 | 68.1 | 55.9 |
| Apr-12 | 68.2 | 55.6 |
| May-12 | 68.2 | 55.9 |
| Jun-12 | 68.1 | 55.5 |
| Jul-12 | 67.8 | 55.7 |
| Aug-12 | 67.8 | 55.7 |
| Sep-12 | 67.7 | 55.9 |
| Oct-12 | 67.9 | 55.5 |
| Nov-12 | 67.7 | 55.5 |
| Dec-12 | 67.9 | 55.3 |
| Jan-13 | 68.1 | 55.7 |
| Feb-13 | 67.8 | 55.8 |
| Mar-13 | 67.5 | 55.6 |
| Apr-13 | 67.5 | 55.7 |
| May-13 | 67.5 | 55.4 |
| Jun-13 | 67.5 | 55.4 |
| Jul-13 | 67.2 | 55.4 |
| Aug-13 | 67.1 | 55.3 |
| Sep-13 | 67.1 | 55.3 |
| Oct-13 | 67.0 | 55.3 |
| Nov-13 | 66.8 | 55.1 |
| Dec-13 | 66.6 | 54.9 |
| Jan-14 | 66.7 | 55.0 |
| Feb-14 | 66.6 | 55.1 |
| Mar-14 | 66.9 | 55.2 |
| Apr-14 | 66.9 | 55.1 |
| May-14 | 66.6 | 55.1 |
| Jun-14 | 66.6 | 55.1 |
| Jul-14 | 66.6 | 55.1 |
| Aug-14 | 66.6 | 55.0 |
| Sep-14 | 66.4 | 55.0 |
| Oct-14 | 66.4 | 54.8 |
| Nov-14 | 66.6 | 54.6 |
| Dec-14 | 66.6 | 55.0 |
| Jan-15 | 66.5 | 55.0 |
| Feb-15 | 66.8 | 55.2 |
| Mar-15 | 67.0 | 55.1 |
| Apr-15 | 66.7 | 55.1 |
| May-15 | 66.8 | 55.4 |
| Jun-15 | 66.6 | 55.4 |
| Jul-15 | 66.8 | 55.4 |
| Aug-15 | 66.5 | 55.5 |
| Sep-15 | 66.5 | 55.6 |
| Oct-15 | 66.9 | 55.9 |
| Nov-15 | 66.9 | 56.1 |
| Dec-15 | 66.9 | 56.0 |
| Jan-16 | 67.0 | 55.9 |
| Feb-16 | 66.8 | 56.0 |
| Mar-16 | 66.8 | 56.0 |
| Apr-16 | 66.6 | 56.0 |
| May-16 | 66.6 | 55.8 |
| Jun-16 | 66.6 | 56.0 |
| Jul-16 | 66.7 | 56.0 |
| Aug-16 | 66.4 | 55.7 |
| Sep-16 | 66.1 | 55.7 |
| Oct-16 | 66.2 | 55.7 |
| Nov-16 | 66.2 | 55.8 |
| Dec-16 | 66.2 | 55.8 |
| Jan-17 | 66.2 | 55.9 |
| Feb-17 | 66.0 | 55.6 |
| Mar-17 | 66.1 | 55.9 |
| Apr-17 | 66.6 | 55.9 |
| May-17 | 66.4 | 56.2 |
| Jun-17 | 66.4 | 56.4 |
| Jul-17 | 66.6 | 56.4 |
| Aug-17 | 66.6 | 56.7 |
| Sep-17 | 66.6 | 56.9 |
| Oct-17 | 66.6 | 56.9 |
| Nov-17 | 66.7 | 57.0 |
| Dec-17 | 66.6 | 57.3 |
| Jan-18 | 67.0 | 57.1 |
| Feb-18 | 66.6 | 57.1 |
| Mar-18 | 66.5 | 57.2 |
| Apr-18 | 66.6 | 57.1 |
| May-18 | 66.6 | 56.9 |
| Jun-18 | 66.8 | 57.3 |
| Jul-18 | 66.9 | 57.0 |
| Aug-18 | 67.2 | 57.1 |
| Sep-18 | 67.1 | 57.2 |
| Oct-18 | 67.0 | 57.3 |
| Nov-18 | 67.0 | 57.4 |
| Dec-18 | 67.1 | 57.4 |
| Jan-19 | 67.3 | 57.6 |
| Feb-19 | 67.1 | 57.5 |
| Mar-19 | 67.1 | 57.5 |
| Apr-19 | 67.1 | 57.8 |
| May-19 | 67.4 | 57.4 |
| Jun-19 | 67.3 | 57.5 |
| Jul-19 | 67.3 | 57.6 |
| Aug-19 | 67.3 | 57.9 |
| Sep-19 | 67.1 | 58.1 |
| Oct-19 | 66.7 | 57.9 |
| Nov-19 | 66.7 | 57.9 |
| Dec-19 | 66.8 | 58.1 |
| Jan-20 | 66.6 | 58.3 |
| Feb-20 | 66.6 | 58.0 |
| Mar-20 | 66.5 | 57.9 |
| Apr-20 | 63.9 | 54.9 |
| May-20 | 62.7 | 53.3 |
| Jun-20 | 63.6 | 54.6 |
| Jul-20 | 64.1 | 55.2 |
| Aug-20 | 64.6 | 56.1 |
| Sep-20 | 64.4 | 56.0 |
| Oct-20 | 65.4 | 56.4 |
| Nov-20 | 65.7 | 56.8 |
| Dec-20 | 65.8 | 57.2 |
| Jan-21 | 66.2 | 57.3 |
| Feb-21 | 66.2 | 57.7 |
| Mar-21 | 66.3 | 58.2 |
| Apr-21 | 66.4 | 57.9 |
| May-21 | 66.6 | 58.5 |
| Jun-21 | 66.9 | 58.4 |
| Jul-21 | 67.1 | 58.3 |
| Aug-21 | 66.4 | 57.7 |
| Sep-21 | 65.9 | 57.0 |
| Oct-21 | 65.7 | 56.6 |
| Nov-21 | 66.9 | 58.8 |
| Dec-21 | 67.4 | 58.9 |
| Jan-22 | 67.1 | 59.5 |
| Feb-22 | 67.4 | 59.8 |
| Mar-22 | 67.5 | 59.7 |
| Apr-22 | 67.7 | 59.8 |
| May-22 | 67.9 | 59.7 |
| Jun-22 | 68.2 | 60.2 |
| Jul-22 | 68.0 | 60.1 |
| Aug-22 | 68.2 | 60.2 |
| Sep-22 | 68.2 | 60.0 |
| Oct-22 | 68.3 | 60.1 |
| Nov-22 | 68.3 | 60.4 |
| Dec-22 | 68.2 | 60.1 |
| Jan-23 | 68.1 | 60.0 |
| Feb-23 | 68.2 | 60.0 |
| Mar-23 | 68.2 | 60.5 |
| Apr-23 | 68.0 | 60.3 |
| May-23 | 68.3 | 60.5 |
| Jun-23 | 68.3 | 60.5 |
| Jul-23 | 68.2 | 60.1 |
| Aug-23 | 68.3 | 60.3 |
| Sep-23 | 67.9 | 60.4 |
| Oct-23 | 68.0 | 60.6 |
| Nov-23 | 68.1 | 60.7 |
| Dec-23 | 67.8 | 60.3 |
| Jan-24 | 67.6 | 60.2 |
| Feb-24 | 68.0 | 60.5 |
| Mar-24 | 67.9 | 60.3 |
| Apr-24 | 67.8 | 60.4 |
| May-24 | 68.0 | 60.2 |
| Jun-24 | 68.1 | 60.3 |
| Jul-24 | 68.0 | 60.6 |
| Aug-24 | 68.1 | 60.6 |
| Sep-24 | 68.4 | 60.5 |
| Oct-24 | 68.3 | 60.4 |
| Nov-24 | 68.2 | 60.6 |
| Dec-24 | 68.5 | 60.5 |
Employment to population ratio, by sex (Seasonally adjusted)
["","Males","Females"]
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[]
[{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"12","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}][{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"30","axis_max":"80","tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]Data Source
Education
Education indicator notes
Fully engaged in work and/or study
- Includes persons aged 15-74 years who are working full-time, studying full-time, or both working and studying.
Attainment of a non-school qualification
- Persons 15-74 years who have been awarded for educational attainments other than those of pre-primary, primary or secondary education (e.g. Postgraduate Degree level, Master Degree level, Graduate Diploma and Graduate Certificate level, Bachelor Degree level, Advanced Diploma and Diploma level, and Certificates I, II, III and IV levels).
Attainment of a bachelor degree or above
- Persons aged 15-74 years who have completed a bachelor degree or above, such as a graduate certificate, graduate diploma, or other post graduate degree.
More information on these items available in Education and Work, Australia methodology.
Persons with disability who attained a bachelor degree or above
- Persons with disability living in households. In the Survey of Disability, Ageing and Carers, a person has a disability if they report they have a limitation, restriction or impairment, which has lasted, or is likely to last, for at least six months and restricts everyday activities.
- Includes persons aged 15-74 years who attained a bachelor degree or above, such as a graduate certificate, graduate diploma, or other post graduate degree.
Persons with disability who attained Year 12 or equivalent
- Persons with disability living in households. In the Survey of Disability, Ageing and Carers, a person has a disability if they report they have a limitation, restriction or impairment, which has lasted, or is likely to last, for at least six months and restricts everyday activities.
- Includes persons aged 15-74 years who attained Year 12 or equivalent such as overseas qualifications comparable to the Australian Year 12 level of schooling, and other terms used to describe the final year of schooling in Australia, e.g. 'Year 13', '6th Form', 'high school certificate' and 'matriculation'.
More information on these items available in Disability, Ageing and Carers, Australia methodology.
| Employed full-time (%) | Employed part-time (%) | Unemployed (%) | Not in labour force (%) | |
|---|---|---|---|---|
| Males - Bachelor level and above | 73.6 | 12.4 | 1.9 | 12.1 |
| Males - Below bachelor level (a) | 67.7 | 11.8 | 2.4 | 18.1 |
| Males - No non-school qualification | 43.1 | 19.9 | 4.8 | 32.2 |
| Females - Bachelor level and above | 52.5 | 28.4 | 1.8 | 17.3 |
| Females - Below bachelor level (a) | 38.7 | 32.0 | 2.7 | 26.5 |
| Females - No non-school qualification | 23.1 | 29.5 | 3.4 | 44.0 |
Labour force status by non-school qualifications, 2024
["","Employed full-time","Employed part-time","Unemployed","Not in labour force"]
[["Males - Bachelor level and above","Males - Below bachelor level (a)","Males - No non-school qualification","Females - Bachelor level and above","Females - Below bachelor level (a)","Females - No non-school qualification"],[[73.599999999999994],[67.700000000000003],[43.100000000000001],[52.5],[38.700000000000003],[23.100000000000001]],[[12.4],[11.800000000000001],[19.899999999999999],[28.399999999999999],[32],[29.5]],[[1.8999999999999999],[2.3999999999999999],[4.7999999999999998],[1.8],[2.7000000000000002],[3.3999999999999999]],[[12.1],[18.100000000000001],[32.200000000000003],[17.300000000000001],[26.5],[44]]]
[]
[{"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}][{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"0","axis_max":"90","tick_interval":"10","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]- Includes Certificates I-IV and not further defined, diplomas, advanced diplomas and associate degrees.
Data Source
| Males (%) | Females (%) | |
|---|---|---|
| 2014 | 58.7 | 55.5 |
| 2015 | 60.1 | 57.4 |
| 2016 | 59.9 | 58.0 |
| 2017 | 60.5 | 58.7 |
| 2018 | 60.5 | 59.7 |
| 2019 | 61.2 | 60.7 |
| 2020 | 62.0 | 62.0 |
| 2021 | 62.6 | 62.0 |
| 2022 | 63.1 | 63.3 |
| 2023 | 62.4 | 64.0 |
| 2024 | 63.0 | 63.6 |
Non-school qualifications, by sex, 2024
["","Males","Females"]
[["2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],[[58.700000000000003],[60.100000000000001],[59.899999999999999],[60.5],[60.5],[61.200000000000003],[62],[62.600000000000001],[63.100000000000001],[62.399999999999999],[63]],[[55.5],[57.399999999999999],[58],[58.700000000000003],[59.700000000000003],[60.700000000000003],[62],[62],[63.299999999999997],[64],[63.600000000000001]]]
[]
[{"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}][{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"52","axis_max":null,"tick_interval":"2","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]Data Source
| Age group | Males (%) | Females (%) |
|---|---|---|
| 15-24 | 9.0 | 13.4 |
| 25-34 | 40.8 | 53.7 |
| 35-44 | 41.2 | 52.0 |
| 45-54 | 34.8 | 41.4 |
| 55-64 | 26.0 | 27.8 |
| 65-74 | 22.7 | 23.4 |
| Total (15-74) | 29.7 | 36.9 |
Bachelor degree or above, by sex and age, 2024
["Age group","Males","Females"]
[["15-24","25-34","35-44","45-54","55-64","65-74","Total (15-74)"],[[9],[40.799999999999997],[41.200000000000003],[34.799999999999997],[26],[22.699999999999999],[29.699999999999999]],[[13.4],[53.700000000000003],[52],[41.399999999999999],[27.800000000000001],[23.399999999999999],[36.899999999999999]]]
[]
[{"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}][{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"0","axis_max":"60","tick_interval":"10","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]Data Source
| Males (%) | Females (%) | |
|---|---|---|
| Natural & physical sciences | 4.9 | 4.2 |
| Information technology | 8.6 | 2.3 |
| Engineering & related technologies | 20.0 | 3.1 |
| Architecture & building | 10.0 | 1.6 |
| Agriculture & environmental studies | 1.7 | 1.7 |
| Health | 8.2 | 21.0 |
| Education | 3.9 | 11.0 |
| Management and commerce | 17.9 | 17.6 |
| Society & culture | 17.2 | 26.3 |
| Creative arts | 3.4 | 5.1 |
| Food, hospitality & personal services | 2.8 | 3.7 |
Field of current study for a non-school qualification, by sex, 2024 (a)
["","Males","Females"]
[["Natural & physical sciences","Information technology","Engineering & related technologies","Architecture & building","Agriculture & environmental studies","Health","Education","Management and commerce","Society & culture","Creative arts","Food, hospitality & personal services"],[[4.9000000000000004],[8.5999999999999996],[20],[10],[1.7],[8.1999999999999993],[3.8999999999999999],[17.899999999999999],[17.199999999999999],[3.3999999999999999],[2.7999999999999998]],[[4.2000000000000002],[2.2999999999999998],[3.1000000000000001],[1.6000000000000001],[1.7],[21],[11],[17.600000000000001],[26.300000000000001],[5.0999999999999996],[3.7000000000000002]]]
[]
[{"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}][{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"0","axis_max":"30","tick_interval":"10","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]- People aged 15-74 who were studying for a non-school qualification.
Data Source
Health and wellbeing
Health and wellbeing indicator notes
Life expectancy at birth
- Life expectancy at birth estimates represent the average number of years that a newborn baby could expect to live, assuming current age-specific death rates are experienced through their lifetime.
More information available in Life Tables methodology.
Prevalence of 12-month anxiety disorders
- Persons aged 16-85 who met criteria for diagnosis of a lifetime anxiety mental disorder and had sufficient symptoms of that disorder in the 12 months prior to the survey interview.
- Anxiety disorders include: Panic Disorder, Agoraphobia, Social Phobia, Generalised Anxiety Disorder, Obsessive-Compulsive Disorder, Post-Traumatic Stress Disorder.
Prevalence of 12-month substance use disorders
- Persons aged 16-85 who met criteria for diagnosis of a lifetime substance use mental disorder and had sufficient symptoms of that disorder in the 12 months prior to the survey interview.
- Substance use disorders include: Alcohol Harmful Use, Alcohol Dependence and Drug Use Disorders.
More information on these items available in National Study of Mental Health and Wellbeing methodology.
Prevalence of asthma
- Includes persons of all ages who currently have asthma which has lasted, or is expected to last, for 6 months or more.
- Data has been sourced from the ABS National Health Survey.
More information is available in the ABS Asthma publication.
Prevalence of heart, stroke and vascular disease
- Heart, stroke and vascular disease encompasses a range of circulatory conditions including: Ischaemic heart disease (angina, heart attack and other ischaemic heart diseases); Cerebrovascular diseases (stroke and other cerebrovascular diseases); Oedema; Heart failure; Diseases of the arteries, arterioles and capillaries.
- Includes persons of all ages who reported they had angina, heart attack, other ischaemic heart diseases, stroke and other cerebrovascular diseases or heart failure but that these conditions were not current at the time of interview.
- Data has been sourced from the ABS National Health Survey.
More information is available in the ABS Health Conditions Prevalence publication.
Current daily smokers
- Current daily smokers aged 18 years and over.
- A current daily smoker status refers to the frequency of smoking of tobacco, including manufactured (packet) cigarettes, roll-your-own cigarettes, cigars and pipes. A current daily smoker was a respondent who regularly smoked one or more cigarettes, cigars or pipes per day. Smoker status analysis excludes chewing tobacco and smoking of non-tobacco products. It also excludes e-cigarettes (and similar vaping devices) which are addressed separately.
- Data has been sourced from the Australian Bureau of Statistics Microdata: Smoker Status dataset (National Health Survey).
More information available in the ABS Smoking publication.
Exceeded Australian Adult Alcohol Guideline 2020
- The Australian Adult Alcohol Guideline 2020 is based on Guideline 1 of the Australian Guidelines to Reduce Health Risks from Drinking Alcohol.
- Includes persons aged 18 years and over who either consumed more than 10 standard drinks per week, or more than 4 standard drinks on a single day at least 12 or more times in the last 12 months.
- Data has been sourced from the ABS National Health Survey.
More information available in the ABS Alcohol Consumption publication.
Met 2014 physical activity guidelines
- Physical activity refers to a combination of exercise and workplace activity. Exercise includes walking for transport, walking for fitness, sport or recreation, moderate exercise and/or vigorous exercise undertaken in the last week. Workplace activity is physical activity undertaken in the workplace which includes moderate and/or vigorous activity undertaken on a typical workday.
- The 2014 physical activity guidelines are based on the Australia’s Australian Physical Activity and Sedentary Behaviour Guidelines (2014) and assessed against the respective age group for National Health Survey data.
- Data has been sourced from the ABS National Health Survey.
More information available in the ABS Physical Activity publication.
Leading cause of death
- Administrative data provided by state and territory Registries of Births, Deaths, and Marriages, supplemented with data from the National Coronial Information System.
- ABS code and compile administrative data into aggregate statistics, using the International Classification of Diseases (ICD-10).
Mortality rate
- Mortality rate is the age-standardised death rate from all-causes of death.
- Number of deaths in the reference year per 100,000 estimated resident population as at 30 June (mid-year).
- The direct age standardisation method has been applied in order to compare estimates over time.
Suicide rate
- Number of deaths by suicide in the reference year per 100,000 estimated resident population as at 30 June (mid-year).
- Intentional self-harm includes ICD-10 codes X60-X84 and Y87.0.
- The direct age standardisation method has been applied in order to compare estimates over time.
The Causes of Death, Australia Methodology contains more information on specific issues related to interpreting time-series and 2023 data.
Overall life satisfaction
- Overall life satisfaction is a summary measure of subjective wellbeing against a scale ranging from 0 to 10, where 0 means "not at all satisfied" and 10 means "completely satisfied". It measures perceived level of life satisfaction in general for persons aged 15 years and over and doesn't take into account specific illnesses or problems the person may have.
Experienced at least one personal stressor
- Persons aged 15 years and over who considered events or circumstances, such as serious illness, serious accident, or death of a family member or close friend to have been a problem for themselves or someone close to them in the last 12 months.
Has family or friends to confide in
- Persons aged 15 years and over who have family or friends living outside the household to confide in.
More information on the above available in the General Social Survey: Summary results, Australia methodology.
| Males (per 100,000 people) | Females (per 100,000 people) | |
|---|---|---|
| 2014 | 649.4 | 461.5 |
| 2015 | 653.3 | 464.6 |
| 2016 | 640.5 | 449.4 |
| 2017 | 631.3 | 448.9 |
| 2018 | 611.2 | 431.7 |
| 2019 | 617.8 | 437.6 |
| 2020 | 582.8 | 410.3 |
| 2021 | 597.0 | 427.4 |
| 2022 | 645.1 | 460.8 |
| 2023 | 604.7 | 431.4 |
Age-standardised death rates for all-cause mortality, by sex (a)(b)(c)
["","Males","Females"]
[["2014","2015","2016","2017","2018","2019","2020","2021","2022","2023"],[[649.39999999999998],[653.29999999999995],[640.5],[631.29999999999995],[611.20000000000005],[617.79999999999995],[582.79999999999995],[597],[645.10000000000002],[604.70000000000005]],[[461.5],[464.60000000000002],[449.39999999999998],[448.89999999999998],[431.69999999999999],[437.60000000000002],[410.30000000000001],[427.39999999999998],[460.80000000000001],[431.39999999999998]]]
[]
[{"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}][{"value":"0","axis_id":"0","axis_title":"per 100,000 people","axis_units":"","tooltip_units":"","table_units":"(per 100,000 people)","axis_min":"0","axis_max":"800","tick_interval":"100","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]- Causes of death data for recent years is preliminary and subject to a revisions process.
- Data is by date of registration. Data may not match that published previously by reference year.
- See the Data quality section of the Causes of Death, Australia, 2023 methodology for more information.
Data Source
| Males (per 100,000 people) | Females (per 100,000 people) | |
|---|---|---|
| 2014 | 18.9 | 6.0 |
| 2015 | 19.7 | 6.3 |
| 2016 | 18.2 | 6.0 |
| 2017 | 20.0 | 6.7 |
| 2018 | 19.6 | 6.0 |
| 2019 | 20.1 | 6.4 |
| 2020 | 18.8 | 5.9 |
| 2021 | 18.5 | 6.1 |
| 2022 | 18.9 | 6.1 |
| 2023 | 18.0 | 5.8 |
Age-standardised death rates for suicide, by sex (a)(b)(c)
["","Males","Females"]
[["2014","2015","2016","2017","2018","2019","2020","2021","2022","2023"],[[18.899999999999999],[19.699999999999999],[18.199999999999999],[20],[19.600000000000001],[20.100000000000001],[18.800000000000001],[18.5],[18.899999999999999],[18]],[[6],[6.2999999999999998],[6],[6.7000000000000002],[6],[6.4000000000000004],[5.9000000000000004],[6.0999999999999996],[6.0999999999999996],[5.7999999999999998]]]
[]
[{"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}][{"value":"0","axis_id":"0","axis_title":"per 100,000 people","axis_units":"","tooltip_units":"","table_units":"(per 100,000 people)","axis_min":"0","axis_max":"22","tick_interval":"2","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]- Causes of death data for recent years is preliminary and subject to a revisions process.
- Data is by date of registration. Data may not match that published previously by reference year.
- See the Data quality section of the Causes of Death, Australia, 2023 methodology for more information on how to interpret the time-series and 2023 data.
Data Source
Crime
Crime indicator notes
Victims of sexual assault
- Number of persons, all ages, as recorded by police for the reference period 2022.
- Sexual assault, for the purposes of the Recorded Crime - Victims collection, is defined as physical contact, or intent of contact, of a sexual nature directed toward another person where that person does not give consent, gives consent as a result of intimidation or deception, or consent is proscribed (i.e. the person is legally deemed incapable of giving consent because of youth, temporary/permanent (mental) incapacity or there is a familial relationship).
More information available in Recorded Crime - Victims methodology.
Experienced sexual violence since the age of 15
- Persons aged 18 years and over who experienced the occurrence, attempt or threat of sexual assault since the age of 15.
Experienced physical violence since the age of 15
- Persons aged 18 years and over who experienced the occurrence, attempt or threat of physical assault since the age of 15.
Experienced stalking since the age of 15
- Persons aged 18 years and over who experienced stalking since the age of 15.
- Stalking involves various behaviours, such as loitering and following, which the person believed were being undertaken with the intent to cause them fear or distress.
More information on these items available in Personal Safety, Australia methodology.
| Males (per 100,000 people) | Females (per 100,000 people) | |
|---|---|---|
| 2012 | 28.8 | 141.2 |
| 2013 | 29.4 | 142.5 |
| 2014 | 30.3 | 145 |
| 2015 | 32.9 | 149.6 |
| 2016 | 34.2 | 154.7 |
| 2017 | 37.1 | 171.2 |
| 2018 | 33.1 | 175.6 |
| 2019 | 34.8 | 174.5 |
| 2020 | 33.5 | 178.9 |
| 2021 | 34 | 205.2 |
| 2022 | 40 | 210.1 |
| 2023 | 43.1 | 227.1 |
Sexual assault, victimisation rate, by sex
["","Males","Females"]
[["2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023"],[[28.800000000000001],[29.399999999999999],[30.300000000000001],[32.899999999999999],[34.200000000000003],[37.100000000000001],[33.100000000000001],[34.799999999999997],[33.5],[34],[40],[43.100000000000001]],[[141.19999999999999],[142.5],[145],[149.59999999999999],[154.69999999999999],[171.19999999999999],[175.59999999999999],[174.5],[178.90000000000001],[205.19999999999999],[210.09999999999999],[227.09999999999999]]]
[]
[{"axis_id":"0","tick_interval":"","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":"per 100,000 people","axis_units":"","tooltip_units":"","table_units":"(per 100,000 people)","axis_min":"0","axis_max":null,"tick_interval":"50","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]Data Source
| Females (%) | Males (%) | |
|---|---|---|
| Partner violence | 16.9 | 5.5 |
| Partner emotional abuse | 22.9 | 13.8 |
| Partner economic abuse | 16.3 | 7.8 |
Experienced cohabiting partner(a) violence, emotional abuse or economic abuse since the age of 15(b)
["","Females","Males"]
[["Partner violence","Partner emotional abuse","Partner economic abuse"],[[16.899999999999999],[22.899999999999999],[16.300000000000001]],[[5.5],[13.800000000000001],[7.7999999999999998]]]
[]
[{"axis_id":"0","tick_interval":"","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":"0","axis_max":"40","tick_interval":"10","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]- A partner the person lives with or lived with at some point, in a married or de facto relationship.
- The number of males/females who have experienced cohabiting partner violence, emotional abuse, or economic abuse since the age of 15 expressed as a percentage of all males/females aged 18 years and over.
See Partner violence, 2021-22 for definitions.
Data Source
Work-life balance
Work-life balance indicator notes
Participation in unpaid work
- Average time spent per day, of persons aged 15 years and over who participated in domestic activities, childcare activities, adult care activities, and voluntary work by hours and minutes.
Participation in domestic activities
- Average time spent per day, of persons aged 15 years and over who participated in domestic activities by hours and minutes.
- Domestic activities include food and drink preparation/service, shopping, housework, grounds and gardening, home and vehicle maintenance, household management, pet and animal care and travel associated with domestic activities.
Parental participation in childcare activities
- Average time spent per day, of persons aged 15 years and over (with children under 15 years of age), who participated in childcare activities by hours and minutes.
- Childcare activities include physical and emotional care of children, teaching/helping/reprimanding children, playing/reading/talking with children, minding children, accompanying children to school or extra-curricular activities, feeding and food preparation for children, and travel associated with childcare activities.
Participation in housework
- Proportion of persons aged 15 years and over who participated in activities, including indoor house cleaning or tidying, dishes and clean up after meals, and clothes washing, laundry and ironing.
Parental participation in physical and emotional care of children
- Proportion of persons aged 15 years and over (with children under 15 years of age), who participated in activities for their children, including bathing, dressing, toileting children, changing nappies, brushing their teeth, putting children to bed, waking children up, settling babies, and getting children ready e.g., for bed, school or outings.
More information on these items available in How Australians Use Their Time, 2020-21 methodology.
Participation in unpaid voluntary work through an organisation
- Persons aged 15 years and over undertaking unpaid voluntary work through an organisation in the last 12 months.
More information available in the General Social Survey: Summary results, Australia methodology.
| Age group | Males (%) | Females (%) |
|---|---|---|
| 15-24 | 25.8 | 44.7 |
| 25-34 | 41.4 | 49.3 |
| 35-44 | 42.9 | 55.1 |
| 45-54 | 39.2 | 42.8 |
| 55-64 | 34.4 | 32.2 |
| 65 and over | 11.1 | 10.4 |
| Total | 32.0 | 38.1 |
Feeling rushed or pressed for time, by sex, 2020-21
["Age group","Males","Females"]
[["15-24","25-34","35-44","45-54","55-64","65 and over","Total"],[[25.800000000000001],[41.399999999999999],[42.899999999999999],[39.200000000000003],[34.399999999999999],[11.1],[32]],[[44.700000000000003],[49.299999999999997],[55.100000000000001],[42.799999999999997],[32.200000000000003],[10.4],[38.100000000000001]]]
[]
[{"axis_id":"0","tick_interval":"","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":"0","axis_max":"60","tick_interval":"10","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]Data Source
| Males (%) | Females (%) | |
|---|---|---|
| Food and drink preparation/service | 54.6 | 75.0 |
| Shopping | 30.5 | 37.9 |
| Housework | 42.4 | 70.0 |
| Grounds care and gardening | 15.3 | 13.9 |
| Home and vehicle maintenance | 9.6 | 4.1 |
| Household management | 30.2 | 35.4 |
| Pet and animal care | 14.9 | 22.9 |
| Travel associated with domestic activities | 25.3 | 30.8 |
| All domestic activities | 82.3 | 92.6 |
Participation in domestic activities, by sex, 2020-21
["","Males","Females"]
[["Food and drink preparation\/service","Shopping","Housework","Grounds care and gardening","Home and vehicle maintenance","Household management","Pet and animal care","Travel associated with domestic activities","All domestic activities"],[[54.600000000000001],[30.5],[42.399999999999999],[15.300000000000001],[9.5999999999999996],[30.199999999999999],[14.9],[25.300000000000001],[82.299999999999997]],[[75],[37.899999999999999],[70],[13.9],[4.0999999999999996],[35.399999999999999],[22.899999999999999],[30.800000000000001],[92.599999999999994]]]
[]
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Other information
External sources
These data sources provide additional information for measuring equality between males and females in Australia:
- The Gender Pay Gap - Workplace Gender Equality Agency
- Gender composition of Australian parliaments - Parliament of Australia, Parliamentary Library
- Gender balance on Australian Government Boards - Department of the Prime Minister and Cabinet, Office for Women
- Summary data of employment in the Australian Public Service - Australian Public Service Commission
- Judicial gender statistics - Australasian Institute of Judicial Administration.