Experimental weekly estimates on the impact of coronavirus (COVID-19) on employee jobs and wages, sourced from Single Touch Payroll data
Between the week ending 14 March 2020 (the week Australia recorded its 100th confirmed COVID-19 case) and the week ending 2 May 2020:
Between the week ending 25 April 2020 and the week ending 2 May 2020:
Key COVID-19 dates:
Since the week ending 14 March 2020 (the week Australia recorded its 100th confirmed COVID-19 case) the largest changes were:
Between the week ending 25 April 2020 and the week ending 2 May 2020, the largest changes were:
| Change in payroll jobs between 25 April and 2 May | Change in payroll jobs between 14 March and 2 May | Change in total wages between 25 April and 2 May | Change in total wages between 14 March and 2 May | |
|---|---|---|---|---|
| NSW | -1.8% | -7.7% | -0.2% | -4.9% |
| Vic. | -1.9% | -8.4% | -0.1% | -6.7% |
| Qld | 0.6% | -6.1% | 2.8% | -4.6% |
| SA | 0.0% | -7.2% | 2.3% | -2.9% |
| WA | -0.7% | -5.9% | 1.9% | -7.0% |
| Tas. | 0.2% | -7.2% | 4.3% | -3.2% |
| NT | 0.1% | -4.0% | 2.0% | -1.9% |
| ACT | -0.6% | -7.0% | 2.7% | -4.3% |
| Australia | -1.1% | -7.3% | 0.9% | -5.4% |
a. These estimates are revised as additional data become available. Particular care should be exercised in focusing on weekly movements in wages, which are subject to a higher degree of reporting variability and revisions.
Since the week ending 14 March 2020 (the week Australia recorded its 100th confirmed COVID-19 case):
Between the week ending 25 April 2020 and the week ending 2 May 2020:
| Change in payroll jobs between 25 April and 2 May | Change in payroll jobs between 14 March and 2 May | Change in total wages between 25 April and 2 May | Change in total wages between 14 March and 2 May | |
|---|---|---|---|---|
| Males | -1.6% | -6.9% | 0.2% | -7.6% |
| Females | -0.6% | -7.1% | 2.0% | -1.9% |
| All persons | -1.1% | -7.3% | 0.9% | -5.4% |
Since the week ending 14 March 2020 (the week Australia recorded its 100th confirmed COVID-19 case), the largest changes were:
Between the week ending 25 April 2020 and the week ending 2 May 2020, the largest changes were:
| Change in payroll jobs between 25 April and 2 May | Change in payroll jobs between 14 March and 2 May | Change in total wages between 25 April and 2 May | Change in total wages between 14 March and 2 May | |
|---|---|---|---|---|
| Aged under 20 | 4.6% | -14.6% | 7.5% | 16.8% |
| 20-29 years olds | -0.5% | -10.7% | 2.3% | -3.9% |
| 30-39 years olds | -2.0% | -6.2% | 0.0% | -6.0% |
| 40-49 years olds | -1.8% | -5.3% | 0.4% | -7.3% |
| 50-59 years olds | -1.1% | -4.5% | 1.0% | -5.9% |
| 60-69 years olds | -0.5% | -4.9% | 1.9% | -3.6% |
| 70 years and over | -1.9% | -11.0% | -0.9% | -3.2% |
| All persons | -1.1% | -7.3% | 0.9% | -5.4% |
Since the week ending 14 March 2020 (the week Australia recorded its 100th confirmed COVID-19 case) the largest changes were:
Between the week ending 25 April 2020 and the week ending 2 May 2020, the largest changes were:
| Change in payroll jobs between 25 April and 2 May | Change in payroll jobs between 14 March and 2 May | Change in total wages between 25 April and 2 May | Change in total wages between 14 March and 2 May | |
|---|---|---|---|---|
| Agriculture, forestry and fishing | -1.2% | -7.4% | 1.1% | 0.3% |
| Mining (b) | 0.0% | -6.0% | 0.0% | -22.2% |
| Manufacturing | -2.1% | -7.0% | -1.7% | -12.0% |
| Electricity, gas, water and waste services | -1.5% | -1.6% | -2.1% | -3.1% |
| Construction | -0.8% | -6.5% | 3.6% | -2.2% |
| Wholesale trade | -5.0% | -8.7% | -1.2% | -10.9% |
| Retail trade | 0.7% | -6.0% | 0.7% | -7.8% |
| Accommodation and food services | 5.2% | -27.1% | 6.1% | -11.8% |
| Transport, postal and warehousing | -3.8% | -6.7% | -2.8% | -8.7% |
| Information media and telecommunications | -5.3% | -9.2% | 2.7% | -2.7% |
| Financial and insurance services (b) | 0.0% | 0.6% | 0.0% | -1.0% |
| Rental, hiring and real estate services | -3.0% | -12.8% | 5.1% | -6.6% |
| Professional, scientific and technical services | -8.0% | -11.1% | -4.3% | -9.3% |
| Administrative and support services | -1.3% | -9.2% | 1.2% | -6.1% |
| Public administration and safety | 0.3% | -1.7% | 0.1% | -2.6% |
| Education and training | 2.6% | -1.8% | 5.0% | 2.0% |
| Health care and social assistance | -0.6% | -1.0% | 2.3% | 0.9% |
| Arts and recreation services | 0.7% | -19.0% | 10.0% | 5.0% |
| Other services | -0.2% | -10.3% | 5.6% | 2.6% |
| All industries | -1.1% | -7.3% | 0.9% | -5.4% |
a. These estimates are revised as additional data become available. Particular care should be exercised in focusing on weekly movements in wages, which are subject to a higher degree of reporting variability and revisions.
b. The Mining industry and Finance industry estimates for the week ending 2 May are based on a higher degree of imputation (given the high proportion of employees paid on a monthly basis) and closely reflect data from the previous week. It is expected this data will be subject to larger than usual revision in subsequent releases.
The following table presents changes in payroll jobs between the week ending 14 March 2020 (i.e. the week Australia recorded its 100th confirmed COVID-19 case) and the week ending 18 April 2020 at the Statistical Area 4 (SA4) level.
Statistical area 4 (SA4) regions are specifically designed to reflect labour markets within each state and territory within population limits. In regional areas, SA4s tend to have lower populations (100,000 to 300,000), while in metropolitan areas, SA4s tend to have larger populations (300,000 to 500,000).
For more information, see the Australian Statistical Geography Standard (ASGS): Volume 1 – Main Structure and Greater Capital City Statistical Areas (cat. no. 1270.0.55.001).
The following table presents changes in payroll jobs between the week ending 14 March 2020 (i.e. the week Australia recorded its 100th confirmed COVID-19 case) and the week ending 18 April 2020 at the ANZSIC sub-division level.
The sub-division level is the second broadest grouping of industries within the Australian and New Zealand Statistical Industrial Classification. Industry sub-divisions are built up from the industry groups which, in turn, are built up from industry classes.
For more, information see the Australian and New Zealand Standard Industrial Classification (cat. no. 1292.0).
To view the jobs by statistical area 4 (SA4) - interactive map, click here