The ABS will continue to monitor changes in hours worked and provide additional analysis when relevant.
Insights into hours worked, July 2022
Released
18/08/2022
Key findings
Hours worked decreased by 15.6 million hours (-0.8%) in seasonally adjusted terms between June and July 2022, and employment decreased by 40,900 people (-0.3%). Throughout the pandemic, the hours worked series shows larger short-term changes compared to the employed series, given that employees may have been away from paid work for a short period without losing their job.
The July reference period coincided with the winter school holidays, worker absences associated with COVID and other illnesses, and further flooding events in New South Wales.
Chart 1 shows that, despite the volatility in recent years, both the hours worked series and employment series have recovered above their pre-pandemic levels, with hours increasing 4.0% and employment increasing 4.3% since March 2020.
| Hours (March 2020 Index) | Employed (March 2020 Index) | |
|---|---|---|
| Jan-20 | 100.3 | 99.9 |
| Feb-20 | 100.1 | 100.0 |
| Mar-20 | 100.0 | 100.0 |
| Apr-20 | 89.7 | 95.4 |
| May-20 | 90.9 | 93.3 |
| Jun-20 | 94.3 | 95.1 |
| Jul-20 | 95.3 | 95.9 |
| Aug-20 | 95.5 | 97.1 |
| Sep-20 | 95.5 | 96.8 |
| Oct-20 | 97.8 | 98.1 |
| Nov-20 | 99.1 | 98.8 |
| Dec-20 | 98.9 | 99.0 |
| Jan-21 | 94.3 | 99.2 |
| Feb-21 | 99.8 | 99.8 |
| Mar-21 | 102.2 | 100.4 |
| Apr-21 | 100.8 | 100.1 |
| May-21 | 102.7 | 100.9 |
| Jun-21 | 101.0 | 101.2 |
| Jul-21 | 100.5 | 101.2 |
| Aug-21 | 97.1 | 100.2 |
| Sep-21 | 97.7 | 99.1 |
| Oct-21 | 97.7 | 98.8 |
| Nov-21 | 102.2 | 101.8 |
| Dec-21 | 103.1 | 102.3 |
| Jan-22 | 94.4 | 102.5 |
| Feb-22 | 102.9 | 103.2 |
| Mar-22 | 102.6 | 103.4 |
| Apr-22 | 103.9 | 103.4 |
| May-22 | 104.9 | 103.9 |
| Jun-22 | 104.9 | 104.6 |
| Jul-22 | 104.0 | 104.3 |
Chart 1: Hours worked and employment index, Seasonally adjusted (March 2020 = 100.0)
["","Hours","Employed"]
[["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"],[[100.3],[100.09999999999999],[100],[89.700000000000003],[90.900000000000006],[94.299999999999997],[95.299999999999997],[95.5],[95.5],[97.799999999999997],[99.099999999999994],[98.900000000000006],[94.299999999999997],[99.799999999999997],[102.2],[100.8],[102.7],[101],[100.5],[97.099999999999994],[97.700000000000003],[97.700000000000003],[102.2],[103.09999999999999],[94.400000000000006],[102.90000000000001],[102.59999999999999],[103.90000000000001],[104.90000000000001],[104.90000000000001],[104]],[[99.900000000000006],[100],[100],[95.400000000000006],[93.299999999999997],[95.099999999999994],[95.900000000000006],[97.099999999999994],[96.799999999999997],[98.099999999999994],[98.799999999999997],[99],[99.200000000000003],[99.799999999999997],[100.40000000000001],[100.09999999999999],[100.90000000000001],[101.2],[101.2],[100.2],[99.099999999999994],[98.799999999999997],[101.8],[102.3],[102.5],[103.2],[103.40000000000001],[103.40000000000001],[103.90000000000001],[104.59999999999999],[104.3]]]
[]
[{"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":"Index","axis_units":"","tooltip_units":"(March 2020 Index)","table_units":"(March 2020 Index)","axis_min":null,"axis_max":"106","tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]Source: Labour Force, Australia Tables 1 and 19
Chart 2 shows disruptions in July from winter school holidays, illness related absences and weather events have all impacted on people working fewer hours than usual.
| Annual leave, holidays, flextime, or long service leave (%) | Own illness or injury or sick leave (%) | Personal reasons, study, caring for sick or injured family (%) | Bad weather or plant breakdown (%) | |
|---|---|---|---|---|
| Jul-17 | 13.1 | 3.6 | 1.9 | 0.3 |
| Jul-18 | 11.7 | 3.5 | 1.9 | 0.4 |
| Jul-19 | 11.3 | 4.0 | 2.0 | 0.5 |
| Jul-20 | 9.1 | 3.3 | 2.0 | 0.3 |
| Jul-21 | 10.1 | 3.3 | 1.7 | 0.6 |
| Jul-22 | 11.6 | 5.5 | 2.2 | 0.9 |
Chart 2: Proportion of employed people who worked fewer than usual hours for selected reasons in July, Original
["","Annual leave, holidays, flextime, or long service leave","Own illness or injury or sick leave","Personal reasons, study, caring for sick or injured family","Bad weather or plant breakdown"]
[["Jul-17","Jul-18","Jul-19","Jul-20","Jul-21","Jul-22"],[[13.1],[11.699999999999999],[11.300000000000001],[9.0999999999999996],[10.1],[11.6]],[[3.6000000000000001],[3.5],[4],[3.2999999999999998],[3.2999999999999998],[5.5]],[[1.8999999999999999],[1.8999999999999999],[2],[2],[1.7],[2.2000000000000002]],[[0.29999999999999999],[0.40000000000000002],[0.5],[0.29999999999999999],[0.59999999999999998],[0.90000000000000002]]]
[]
[{"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":null,"axis_max":null,"tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]Source: Labour Force, Australia Data Cube EM2a and Table 1
People working fewer hours than usual due to their own illness or injury or sick leave
Chart 3 shows the number of people working fewer hours due to illness decreased 26,800 people to 750,000 people, between June and July 2022, but remained at elevated levels.Â
| Worked fewer hours than usual ('000) | |
|---|---|
| Jul-17 | 436.5 |
| Aug-17 | 571.4 |
| Sep-17 | 537.1 |
| Oct-17 | 383.2 |
| Nov-17 | 394.8 |
| Dec-17 | 393.5 |
| Jan-18 | 207.0 |
| Feb-18 | 405.1 |
| Mar-18 | 419.9 |
| Apr-18 | 315.2 |
| May-18 | 424.8 |
| Jun-18 | 429.8 |
| Jul-18 | 436.1 |
| Aug-18 | 512.6 |
| Sep-18 | 487.7 |
| Oct-18 | 346.1 |
| Nov-18 | 401.6 |
| Dec-18 | 399.0 |
| Jan-19 | 302.8 |
| Feb-19 | 406.5 |
| Mar-19 | 400.1 |
| Apr-19 | 436.8 |
| May-19 | 450.0 |
| Jun-19 | 499.5 |
| Jul-19 | 512.2 |
| Aug-19 | 538.5 |
| Sep-19 | 509.6 |
| Oct-19 | 377.8 |
| Nov-19 | 433.2 |
| Dec-19 | 434.7 |
| Jan-20 | 327.1 |
| Feb-20 | 430.9 |
| Mar-20 | 492.4 |
| Apr-20 | 308.7 |
| May-20 | 283.1 |
| Jun-20 | 338.8 |
| Jul-20 | 407.6 |
| Aug-20 | 440.0 |
| Sep-20 | 401.7 |
| Oct-20 | 360.9 |
| Nov-20 | 405.3 |
| Dec-20 | 423.1 |
| Jan-21 | 267.3 |
| Feb-21 | 389.1 |
| Mar-21 | 438.8 |
| Apr-21 | 388.3 |
| May-21 | 485.4 |
| Jun-21 | 525.2 |
| Jul-21 | 439.3 |
| Aug-21 | 450.4 |
| Sep-21 | 453.9 |
| Oct-21 | 376.2 |
| Nov-21 | 431.4 |
| Dec-21 | 442.1 |
| Jan-22 | 750.1 |
| Feb-22 | 592.1 |
| Mar-22 | 579.4 |
| Apr-22 | 744.7 |
| May-22 | 780.5 |
| Jun-22 | 776.8 |
| Jul-22 | 750.0 |
Chart 3: Employed people working fewer hours than usual due to their own illness or injury or sick leave, Original
["","Worked fewer hours than usual"]
[["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"],[[436.5],[571.39999999999998],[537.10000000000002],[383.19999999999999],[394.80000000000001],[393.5],[207],[405.10000000000002],[419.89999999999998],[315.19999999999999],[424.80000000000001],[429.80000000000001],[436.10000000000002],[512.60000000000002],[487.69999999999999],[346.10000000000002],[401.60000000000002],[399],[302.80000000000001],[406.5],[400.10000000000002],[436.80000000000001],[450],[499.5],[512.20000000000005],[538.5],[509.60000000000002],[377.80000000000001],[433.19999999999999],[434.69999999999999],[327.10000000000002],[430.89999999999998],[492.39999999999998],[308.69999999999999],[283.10000000000002],[338.80000000000001],[407.60000000000002],[440],[401.69999999999999],[360.89999999999998],[405.30000000000001],[423.10000000000002],[267.30000000000001],[389.10000000000002],[438.80000000000001],[388.30000000000001],[485.39999999999998],[525.20000000000005],[439.30000000000001],[450.39999999999998],[453.89999999999998],[376.19999999999999],[431.39999999999998],[442.10000000000002],[750.10000000000002],[592.10000000000002],[579.39999999999998],[744.70000000000005],[780.5],[776.79999999999995],[750]]]
[]
[{"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":"'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}]Source: Labour Force, Australia Data Cube EM2a
Chart 4 shows that the number of people aged 55 years and over who worked fewer hours than usual due to illness was at its series high in July 2022 (158,400 people). There was a slight increase for people aged 15 to 24 years, and a decrease for people aged 25 to 54 years, between June and July 2022.
| 15-24 years ('000) | 25-39 years ('000) | 40-54 years ('000) | 55 years and over ('000) | |
|---|---|---|---|---|
| Jul-17 | 55.3 | 139.6 | 139.6 | 102.1 |
| Aug-17 | 76.5 | 180.6 | 187.9 | 126.3 |
| Sep-17 | 68.2 | 165.9 | 184.2 | 118.8 |
| Oct-17 | 53.2 | 118.1 | 119.9 | 91.9 |
| Nov-17 | 59.0 | 129.0 | 118.3 | 88.5 |
| Dec-17 | 46.5 | 138.5 | 116.3 | 92.3 |
| Jan-18 | 26.6 | 67.0 | 54.1 | 59.1 |
| Feb-18 | 47.8 | 131.7 | 122.6 | 103.1 |
| Mar-18 | 41.4 | 146.6 | 140.2 | 91.7 |
| Apr-18 | 40.7 | 112.6 | 95.7 | 66.1 |
| May-18 | 56.8 | 144.9 | 146.1 | 76.9 |
| Jun-18 | 55.6 | 140.1 | 131.1 | 103.0 |
| Jul-18 | 48.9 | 150.0 | 136.0 | 101.1 |
| Aug-18 | 65.2 | 175.5 | 165.1 | 106.8 |
| Sep-18 | 64.9 | 165.7 | 151.2 | 106.0 |
| Oct-18 | 42.9 | 122.0 | 100.0 | 81.2 |
| Nov-18 | 43.9 | 130.9 | 120.7 | 106.0 |
| Dec-18 | 47.6 | 126.3 | 125.6 | 99.5 |
| Jan-19 | 44.2 | 97.9 | 86.1 | 74.6 |
| Feb-19 | 47.1 | 133.3 | 129.4 | 96.7 |
| Mar-19 | 43.2 | 129.8 | 133.6 | 93.5 |
| Apr-19 | 42.1 | 149.0 | 138.6 | 107.0 |
| May-19 | 51.6 | 150.7 | 136.8 | 111.0 |
| Jun-19 | 55.2 | 159.9 | 170.7 | 113.8 |
| Jul-19 | 61.1 | 169.2 | 151.9 | 129.9 |
| Aug-19 | 64.2 | 176.2 | 169.2 | 128.8 |
| Sep-19 | 63.5 | 155.6 | 161.4 | 129.1 |
| Oct-19 | 44.1 | 129.3 | 112.0 | 92.3 |
| Nov-19 | 45.5 | 148.4 | 132.2 | 107.1 |
| Dec-19 | 50.2 | 134.8 | 136.1 | 113.6 |
| Jan-20 | 35.4 | 114.4 | 98.8 | 78.5 |
| Feb-20 | 52.6 | 142.9 | 134.4 | 101.0 |
| Mar-20 | 66.5 | 175.7 | 145.9 | 104.2 |
| Apr-20 | 31.4 | 97.1 | 91.1 | 89.1 |
| May-20 | 31.6 | 86.7 | 89.6 | 75.2 |
| Jun-20 | 35.4 | 118.9 | 106.1 | 78.4 |
| Jul-20 | 56.4 | 134.4 | 120.9 | 95.8 |
| Aug-20 | 60.1 | 138.9 | 144.9 | 96.1 |
| Sep-20 | 45.0 | 125.9 | 125.4 | 105.4 |
| Oct-20 | 37.9 | 112.6 | 116.9 | 93.5 |
| Nov-20 | 45.4 | 134.6 | 131.2 | 94.2 |
| Dec-20 | 46.5 | 132.4 | 128.4 | 115.9 |
| Jan-21 | 37.2 | 87.2 | 74.6 | 68.3 |
| Feb-21 | 42.8 | 130.2 | 121.0 | 95.2 |
| Mar-21 | 52.8 | 136.6 | 144.1 | 105.3 |
| Apr-21 | 59.0 | 126.9 | 104.8 | 97.7 |
| May-21 | 53.6 | 168.8 | 151.9 | 111.2 |
| Jun-21 | 62.3 | 167.9 | 165.7 | 129.3 |
| Jul-21 | 59.7 | 150.0 | 136.2 | 93.4 |
| Aug-21 | 61.4 | 151.2 | 130.5 | 107.2 |
| Sep-21 | 58.3 | 151.0 | 134.7 | 109.9 |
| Oct-21 | 50.2 | 121.4 | 118.6 | 86.1 |
| Nov-21 | 57.8 | 128.1 | 134.1 | 111.4 |
| Dec-21 | 66.1 | 135.3 | 132.2 | 108.5 |
| Jan-22 | 201.2 | 256.6 | 168.6 | 123.8 |
| Feb-22 | 77.1 | 211.2 | 174.3 | 129.4 |
| Mar-22 | 94.5 | 171.8 | 187.9 | 125.2 |
| Apr-22 | 115.7 | 240.1 | 246.6 | 142.4 |
| May-22 | 115.6 | 281.2 | 227.1 | 156.6 |
| Jun-22 | 106.4 | 263.8 | 251.0 | 155.5 |
| Jul-22 | 108.2 | 259.7 | 223.7 | 158.4 |
Chart 4: Employed people who worked fewer hours than usual due to own illness or injury or sick leave, by age group, Original
["","15-24 years","25-39 years","40-54 years","55 years and over"]
[["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"],[[55.299999999999997],[76.5],[68.200000000000003],[53.200000000000003],[59],[46.5],[26.600000000000001],[47.799999999999997],[41.399999999999999],[40.700000000000003],[56.799999999999997],[55.600000000000001],[48.899999999999999],[65.200000000000003],[64.900000000000006],[42.899999999999999],[43.899999999999999],[47.600000000000001],[44.200000000000003],[47.100000000000001],[43.200000000000003],[42.100000000000001],[51.600000000000001],[55.200000000000003],[61.100000000000001],[64.200000000000003],[63.5],[44.100000000000001],[45.5],[50.200000000000003],[35.399999999999999],[52.600000000000001],[66.5],[31.399999999999999],[31.600000000000001],[35.399999999999999],[56.399999999999999],[60.100000000000001],[45],[37.899999999999999],[45.399999999999999],[46.5],[37.200000000000003],[42.799999999999997],[52.799999999999997],[59],[53.600000000000001],[62.299999999999997],[59.700000000000003],[61.399999999999999],[58.299999999999997],[50.200000000000003],[57.799999999999997],[66.099999999999994],[201.19999999999999],[77.099999999999994],[94.5],[115.7],[115.59999999999999],[106.40000000000001],[108.2]],[[139.59999999999999],[180.59999999999999],[165.90000000000001],[118.09999999999999],[129],[138.5],[67],[131.69999999999999],[146.59999999999999],[112.59999999999999],[144.90000000000001],[140.09999999999999],[150],[175.5],[165.69999999999999],[122],[130.90000000000001],[126.3],[97.900000000000006],[133.30000000000001],[129.80000000000001],[149],[150.69999999999999],[159.90000000000001],[169.19999999999999],[176.19999999999999],[155.59999999999999],[129.30000000000001],[148.40000000000001],[134.80000000000001],[114.40000000000001],[142.90000000000001],[175.69999999999999],[97.099999999999994],[86.700000000000003],[118.90000000000001],[134.40000000000001],[138.90000000000001],[125.90000000000001],[112.59999999999999],[134.59999999999999],[132.40000000000001],[87.200000000000003],[130.19999999999999],[136.59999999999999],[126.90000000000001],[168.80000000000001],[167.90000000000001],[150],[151.19999999999999],[151],[121.40000000000001],[128.09999999999999],[135.30000000000001],[256.60000000000002],[211.19999999999999],[171.80000000000001],[240.09999999999999],[281.19999999999999],[263.80000000000001],[259.69999999999999]],[[139.59999999999999],[187.90000000000001],[184.19999999999999],[119.90000000000001],[118.3],[116.3],[54.100000000000001],[122.59999999999999],[140.19999999999999],[95.700000000000003],[146.09999999999999],[131.09999999999999],[136],[165.09999999999999],[151.19999999999999],[100],[120.7],[125.59999999999999],[86.099999999999994],[129.40000000000001],[133.59999999999999],[138.59999999999999],[136.80000000000001],[170.69999999999999],[151.90000000000001],[169.19999999999999],[161.40000000000001],[112],[132.19999999999999],[136.09999999999999],[98.799999999999997],[134.40000000000001],[145.90000000000001],[91.099999999999994],[89.599999999999994],[106.09999999999999],[120.90000000000001],[144.90000000000001],[125.40000000000001],[116.90000000000001],[131.19999999999999],[128.40000000000001],[74.599999999999994],[121],[144.09999999999999],[104.8],[151.90000000000001],[165.69999999999999],[136.19999999999999],[130.5],[134.69999999999999],[118.59999999999999],[134.09999999999999],[132.19999999999999],[168.59999999999999],[174.30000000000001],[187.90000000000001],[246.59999999999999],[227.09999999999999],[251],[223.69999999999999]],[[102.09999999999999],[126.3],[118.8],[91.900000000000006],[88.5],[92.299999999999997],[59.100000000000001],[103.09999999999999],[91.700000000000003],[66.099999999999994],[76.900000000000006],[103],[101.09999999999999],[106.8],[106],[81.200000000000003],[106],[99.5],[74.599999999999994],[96.700000000000003],[93.5],[107],[111],[113.8],[129.90000000000001],[128.80000000000001],[129.09999999999999],[92.299999999999997],[107.09999999999999],[113.59999999999999],[78.5],[101],[104.2],[89.099999999999994],[75.200000000000003],[78.400000000000006],[95.799999999999997],[96.099999999999994],[105.40000000000001],[93.5],[94.200000000000003],[115.90000000000001],[68.299999999999997],[95.200000000000003],[105.3],[97.700000000000003],[111.2],[129.30000000000001],[93.400000000000006],[107.2],[109.90000000000001],[86.099999999999994],[111.40000000000001],[108.5],[123.8],[129.40000000000001],[125.2],[142.40000000000001],[156.59999999999999],[155.5],[158.40000000000001]]]
[]
[{"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":"'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}]Source:Â Labour Force, Australia Data Cube EM2a
Chart 5 shows the proportion of people working reduced hours due to illness was elevated in all states and territories in July 2022, compared to recent Julys.
| Jul-17 (%) | Jul-18 (%) | Jul-19 (%) | Jul-20 (%) | Jul-21 (%) | Jul-22 (%) | |
|---|---|---|---|---|---|---|
| New South Wales | 3.4 | 3.2 | 3.9 | 3.3 | 2.9 | 4.6 |
| Victoria | 3.8 | 3.6 | 4.1 | 3.1 | 3.4 | 5.8 |
| Queensland | 3.6 | 3.3 | 4.0 | 3.2 | 3.4 | 5.6 |
| South Australia | 3.7 | 4.1 | 4.2 | 3.7 | 4.0 | 7.1 |
| Western Australia | 3.0 | 3.8 | 3.5 | 3.2 | 3.4 | 6.0 |
| Tasmania | 4.0 | 3.7 | 4.7 | 3.6 | 4.8 | 7.9 |
| Northern Territory | 2.7 | 3.3 | 3.1 | 3.8 | 2.9 | 5.1 |
| Australian Capital Territory | 4.7 | 4.4 | 4.9 | 4.3 | 5.2 | 6.3 |
Chart 5: Proportion of employed people who worked fewer hours than usual due to own illness or injury or sick leave, by state and territory, Original
["","Jul-17","Jul-18","Jul-19","Jul-20","Jul-21","Jul-22"]
[["New South Wales","Victoria","Queensland","South Australia","Western Australia","Tasmania","Northern Territory","Australian Capital Territory"],[[3.3999999999999999],[3.7999999999999998],[3.6000000000000001],[3.7000000000000002],[3],[4],[2.7000000000000002],[4.7000000000000002]],[[3.2000000000000002],[3.6000000000000001],[3.2999999999999998],[4.0999999999999996],[3.7999999999999998],[3.7000000000000002],[3.2999999999999998],[4.4000000000000004]],[[3.8999999999999999],[4.0999999999999996],[4],[4.2000000000000002],[3.5],[4.7000000000000002],[3.1000000000000001],[4.9000000000000004]],[[3.2999999999999998],[3.1000000000000001],[3.2000000000000002],[3.7000000000000002],[3.2000000000000002],[3.6000000000000001],[3.7999999999999998],[4.2999999999999998]],[[2.8999999999999999],[3.3999999999999999],[3.3999999999999999],[4],[3.3999999999999999],[4.7999999999999998],[2.8999999999999999],[5.2000000000000002]],[[4.5999999999999996],[5.7999999999999998],[5.5999999999999996],[7.0999999999999996],[6],[7.9000000000000004],[5.0999999999999996],[6.2999999999999998]]]
[]
[{"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":null,"axis_max":null,"tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]Source:Â Labour Force, Australia Data Cube EM2b and Table 12
People working fewer hours than usual due to bad weather or plant breakdown
Chart 6 shows people working fewer hours due to bad weather or plant breakdown increased in July 2022, in line with flooding events in New South Wales during this time. The large increase from flooding events in early 2022 are also evident.
| Bad weather or plant breakdown ('000) | |
|---|---|
| Jul-17 | 34.7 |
| Aug-17 | 46.2 |
| Sep-17 | 27.1 |
| Oct-17 | 30.5 |
| Nov-17 | 23.2 |
| Dec-17 | 56.8 |
| Jan-18 | 19.2 |
| Feb-18 | 23.7 |
| Mar-18 | 53.8 |
| Apr-18 | 13.0 |
| May-18 | 29.1 |
| Jun-18 | 59.2 |
| Jul-18 | 47.0 |
| Aug-18 | 39.3 |
| Sep-18 | 32.6 |
| Oct-18 | 63.8 |
| Nov-18 | 23.1 |
| Dec-18 | 52.0 |
| Jan-19 | 35.0 |
| Feb-19 | 33.1 |
| Mar-19 | 32.8 |
| Apr-19 | 29.8 |
| May-19 | 42.1 |
| Jun-19 | 68.6 |
| Jul-19 | 64.3 |
| Aug-19 | 53.7 |
| Sep-19 | 36.7 |
| Oct-19 | 21.1 |
| Nov-19 | 38.0 |
| Dec-19 | 33.4 |
| Jan-20 | 41.5 |
| Feb-20 | 134.0 |
| Mar-20 | 89.6 |
| Apr-20 | 49.7 |
| May-20 | 36.4 |
| Jun-20 | 37.4 |
| Jul-20 | 41.9 |
| Aug-20 | 66.3 |
| Sep-20 | 25.7 |
| Oct-20 | 36.1 |
| Nov-20 | 38.5 |
| Dec-20 | 29.7 |
| Jan-21 | 48.1 |
| Feb-21 | 41.9 |
| Mar-21 | 46.5 |
| Apr-21 | 50.7 |
| May-21 | 49.1 |
| Jun-21 | 64.1 |
| Jul-21 | 73.6 |
| Aug-21 | 29.1 |
| Sep-21 | 29.2 |
| Oct-21 | 45.0 |
| Nov-21 | 70.7 |
| Dec-21 | 73.6 |
| Jan-22 | 32.5 |
| Feb-22 | 49.3 |
| Mar-22 | 505.4 |
| Apr-22 | 69.7 |
| May-22 | 93.7 |
| Jun-22 | 76.1 |
| Jul-22 | 118.6 |
Chart 6: Employed people working fewer hours than usual due to bad weather or plant breakdown, Original
["","Bad weather or plant breakdown"]
[["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"],[[34.700000000000003],[46.200000000000003],[27.100000000000001],[30.5],[23.199999999999999],[56.799999999999997],[19.199999999999999],[23.699999999999999],[53.799999999999997],[13],[29.100000000000001],[59.200000000000003],[47],[39.299999999999997],[32.600000000000001],[63.799999999999997],[23.100000000000001],[52],[35],[33.100000000000001],[32.799999999999997],[29.800000000000001],[42.100000000000001],[68.599999999999994],[64.299999999999997],[53.700000000000003],[36.700000000000003],[21.100000000000001],[38],[33.399999999999999],[41.5],[134],[89.599999999999994],[49.700000000000003],[36.399999999999999],[37.399999999999999],[41.899999999999999],[66.299999999999997],[25.699999999999999],[36.100000000000001],[38.5],[29.699999999999999],[48.100000000000001],[41.899999999999999],[46.5],[50.700000000000003],[49.100000000000001],[64.099999999999994],[73.599999999999994],[29.100000000000001],[29.199999999999999],[45],[70.700000000000003],[73.599999999999994],[32.5],[49.299999999999997],[505.39999999999998],[69.700000000000003],[93.700000000000003],[76.099999999999994],[118.59999999999999]]]
[]
[{"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":"'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}]Source:Â Labour Force, Australia Data Cube EM2a
Chart 7 shows the impact by the recent floods in New South Wales.
| Worked fewer hours than usual ('000) | Did not work (0 hours) ('000) | |
|---|---|---|
| Jul-17 | 6.0 | 1.0 |
| Aug-17 | 7.2 | 0.0 |
| Sep-17 | 2.6 | 0.0 |
| Oct-17 | 9.0 | 0.5 |
| Nov-17 | 8.7 | 0.6 |
| Dec-17 | 9.0 | 0.7 |
| Jan-18 | 6.6 | 1.5 |
| Feb-18 | 1.1 | 0.0 |
| Mar-18 | 10.4 | 1.1 |
| Apr-18 | 1.3 | 0.9 |
| May-18 | 5.2 | 0.0 |
| Jun-18 | 16.7 | 1.9 |
| Jul-18 | 9.3 | 2.0 |
| Aug-18 | 2.8 | 0.0 |
| Sep-18 | 12.1 | 1.8 |
| Oct-18 | 37.8 | 5.6 |
| Nov-18 | 7.4 | 0.6 |
| Dec-18 | 24.6 | 0.0 |
| Jan-19 | 12.8 | 0.4 |
| Feb-19 | 7.8 | 1.1 |
| Mar-19 | 8.5 | 1.0 |
| Apr-19 | 12.2 | 1.1 |
| May-19 | 7.9 | 1.0 |
| Jun-19 | 23.8 | 1.0 |
| Jul-19 | 21.8 | 0.5 |
| Aug-19 | 13.6 | 1.6 |
| Sep-19 | 16.8 | 2.9 |
| Oct-19 | 9.0 | 0.5 |
| Nov-19 | 8.9 | 2.5 |
| Dec-19 | 11.8 | 0.5 |
| Jan-20 | 16.7 | 0.0 |
| Feb-20 | 56.1 | 7.5 |
| Mar-20 | 34.8 | 1.6 |
| Apr-20 | 24.0 | 5.2 |
| May-20 | 9.5 | 1.5 |
| Jun-20 | 17.6 | 1.1 |
| Jul-20 | 8.4 | 0.0 |
| Aug-20 | 35.2 | 2.3 |
| Sep-20 | 12.5 | 0.6 |
| Oct-20 | 7.3 | 0.7 |
| Nov-20 | 17.3 | 1.3 |
| Dec-20 | 8.8 | 2.2 |
| Jan-21 | 18.3 | 3.1 |
| Feb-21 | 12.8 | 1.1 |
| Mar-21 | 16.5 | 2.3 |
| Apr-21 | 10.6 | 3.0 |
| May-21 | 23.0 | 1.1 |
| Jun-21 | 16.8 | 0.0 |
| Jul-21 | 28.1 | 1.9 |
| Aug-21 | 6.1 | 0.0 |
| Sep-21 | 7.8 | 0.7 |
| Oct-21 | 13.4 | 0.0 |
| Nov-21 | 33.5 | 4.3 |
| Dec-21 | 26.5 | 4.0 |
| Jan-22 | 12.7 | 1.0 |
| Feb-22 | 19.2 | 2.5 |
| Mar-22 | 206.9 | 34.2 |
| Apr-22 | 53.5 | 9.0 |
| May-22 | 38.4 | 3.1 |
| Jun-22 | 21.5 | 1.1 |
| Jul-22 | 68.2 | 14.1 |
Chart 7: Employed people working fewer hours than usual due to bad weather or plant breakdown, in New South Wales, Original
["","Worked fewer hours than usual","Did not work (0 hours)"]
[["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"],[[6],[7.2000000000000002],[2.6000000000000001],[9],[8.6999999999999993],[9],[6.5999999999999996],[1.1000000000000001],[10.4],[1.3],[5.2000000000000002],[16.699999999999999],[9.3000000000000007],[2.7999999999999998],[12.1],[37.799999999999997],[7.4000000000000004],[24.600000000000001],[12.800000000000001],[7.7999999999999998],[8.5],[12.199999999999999],[7.9000000000000004],[23.800000000000001],[21.800000000000001],[13.6],[16.800000000000001],[9],[8.9000000000000004],[11.800000000000001],[16.699999999999999],[56.100000000000001],[34.799999999999997],[24],[9.5],[17.600000000000001],[8.4000000000000004],[35.200000000000003],[12.5],[7.2999999999999998],[17.300000000000001],[8.8000000000000007],[18.300000000000001],[12.800000000000001],[16.5],[10.6],[23],[16.800000000000001],[28.100000000000001],[6.0999999999999996],[7.7999999999999998],[13.4],[33.5],[26.5],[12.699999999999999],[19.199999999999999],[206.90000000000001],[53.5],[38.399999999999999],[21.5],[68.200000000000003]],[[1],[0],[0],[0.5],[0.59999999999999998],[0.69999999999999996],[1.5],[0],[1.1000000000000001],[0.90000000000000002],[0],[1.8999999999999999],[2],[0],[1.8],[5.5999999999999996],[0.59999999999999998],[0],[0.40000000000000002],[1.1000000000000001],[1],[1.1000000000000001],[1],[1],[0.5],[1.6000000000000001],[2.8999999999999999],[0.5],[2.5],[0.5],[0],[7.5],[1.6000000000000001],[5.2000000000000002],[1.5],[1.1000000000000001],[0],[2.2999999999999998],[0.59999999999999998],[0.69999999999999996],[1.3],[2.2000000000000002],[3.1000000000000001],[1.1000000000000001],[2.2999999999999998],[3],[1.1000000000000001],[0],[1.8999999999999999],[0],[0.69999999999999996],[0],[4.2999999999999998],[4],[1],[2.5],[34.200000000000003],[9],[3.1000000000000001],[1.1000000000000001],[14.1]]]
[]
[{"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":"'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}]Source:Â Labour Force, Australia Data Cube EM2b
People working fewer hours than usual due to annual leave, holidays, flextime or long service leave
Chart 8 shows the percentage of people working fewer hours due to annual leave, flextime or long service leave. The increase in July 2022 was similar to previous July time points which coincide with school holiday periods.
| July (%) | August to June (%) | |
|---|---|---|
| Jul-17 | 13.1 | 0.0 |
| Aug-17 | 0.0 | 6.4 |
| Sep-17 | 0.0 | 6.3 |
| Oct-17 | 0.0 | 18.0 |
| Nov-17 | 0.0 | 9.5 |
| Dec-17 | 0.0 | 6.4 |
| Jan-18 | 0.0 | 44.6 |
| Feb-18 | 0.0 | 6.1 |
| Mar-18 | 0.0 | 11.8 |
| Apr-18 | 0.0 | 27.3 |
| May-18 | 0.0 | 8.1 |
| Jun-18 | 0.0 | 15.6 |
| Jul-18 | 11.7 | 0.0 |
| Aug-18 | 0.0 | 6.2 |
| Sep-18 | 0.0 | 6.6 |
| Oct-18 | 0.0 | 19.0 |
| Nov-18 | 0.0 | 9.6 |
| Dec-18 | 0.0 | 6.4 |
| Jan-19 | 0.0 | 20.4 |
| Feb-19 | 0.0 | 5.9 |
| Mar-19 | 0.0 | 11.1 |
| Apr-19 | 0.0 | 9.3 |
| May-19 | 0.0 | 8.2 |
| Jun-19 | 0.0 | 14.9 |
| Jul-19 | 11.3 | 0.0 |
| Aug-19 | 0.0 | 7.0 |
| Sep-19 | 0.0 | 6.4 |
| Oct-19 | 0.0 | 19.4 |
| Nov-19 | 0.0 | 9.2 |
| Dec-19 | 0.0 | 5.9 |
| Jan-20 | 0.0 | 22.2 |
| Feb-20 | 0.0 | 6.0 |
| Mar-20 | 0.0 | 10.2 |
| Apr-20 | 0.0 | 14.4 |
| May-20 | 0.0 | 4.9 |
| Jun-20 | 0.0 | 11.1 |
| Jul-20 | 9.1 | 0.0 |
| Aug-20 | 0.0 | 5.1 |
| Sep-20 | 0.0 | 4.6 |
| Oct-20 | 0.0 | 14.3 |
| Nov-20 | 0.0 | 8.2 |
| Dec-20 | 0.0 | 5.4 |
| Jan-21 | 0.0 | 29.3 |
| Feb-21 | 0.0 | 5.2 |
| Mar-21 | 0.0 | 9.0 |
| Apr-21 | 0.0 | 26.5 |
| May-21 | 0.0 | 7.4 |
| Jun-21 | 0.0 | 6.9 |
| Jul-21 | 10.1 | 0.0 |
| Aug-21 | 0.0 | 3.9 |
| Sep-21 | 0.0 | 4.1 |
| Oct-21 | 0.0 | 15.2 |
| Nov-21 | 0.0 | 9.4 |
| Dec-21 | 0.0 | 5.1 |
| Jan-22 | 0.0 | 39.4 |
| Feb-22 | 0.0 | 5.8 |
| Mar-22 | 0.0 | 6.2 |
| Apr-22 | 0.0 | 19.7 |
| May-22 | 0.0 | 7.2 |
| Jun-22 | 0.0 | 7.6 |
| Jul-22 | 11.6 | 0.0 |
Chart 8: Percentage of employed people on annual leave, holidays, flextime or long service leave, Original
["","July","August to June"]
[["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"],[[13.1],[0],[0],[0],[0],[0],[0],[0],[0],[0],[0],[0],[11.699999999999999],[0],[0],[0],[0],[0],[0],[0],[0],[0],[0],[0],[11.300000000000001],[0],[0],[0],[0],[0],[0],[0],[0],[0],[0],[0],[9.0999999999999996],[0],[0],[0],[0],[0],[0],[0],[0],[0],[0],[0],[10.1],[0],[0],[0],[0],[0],[0],[0],[0],[0],[0],[0],[11.6]],[[0],[6.4000000000000004],[6.2999999999999998],[18],[9.5],[6.4000000000000004],[44.600000000000001],[6.0999999999999996],[11.800000000000001],[27.300000000000001],[8.0999999999999996],[15.6],[0],[6.2000000000000002],[6.5999999999999996],[19],[9.5999999999999996],[6.4000000000000004],[20.399999999999999],[5.9000000000000004],[11.1],[9.3000000000000007],[8.1999999999999993],[14.9],[0],[7],[6.4000000000000004],[19.399999999999999],[9.1999999999999993],[5.9000000000000004],[22.199999999999999],[6],[10.199999999999999],[14.4],[4.9000000000000004],[11.1],[0],[5.0999999999999996],[4.5999999999999996],[14.300000000000001],[8.1999999999999993],[5.4000000000000004],[29.300000000000001],[5.2000000000000002],[9],[26.5],[7.4000000000000004],[6.9000000000000004],[0],[3.8999999999999999],[4.0999999999999996],[15.199999999999999],[9.4000000000000004],[5.0999999999999996],[39.399999999999999],[5.7999999999999998],[6.2000000000000002],[19.699999999999999],[7.2000000000000002],[7.5999999999999996],[0]]]
[]
[{"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":null,"axis_max":null,"tick_interval":null,"precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false},{"value":"1","axis_id":"1","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"0","axis_max":"50","tick_interval":"10","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]Source:Â Labour Force, Australia Data Cube EM2a and Table 1