Weekly Payroll Jobs and Wages in Australia, Week ending 13 March 2021

Total wages decreased by 1.0%. The largest changes were in:

Western Australia (up 2.7%)
Mining (up 11.1%)

National

Between the weeks ending 14 March 2020 and 13 March 2021:

Payroll jobs increased by 0.2%
Total wages increased by 1.4%

Between the weeks ending 27 February and 13 March 2021:

Payroll jobs increased by 0.2%, compared to an increase of 0.9% in the previous fortnight
Total wages paid decreased by 1.0%, compared to an increase of 0.9% in the previous fortnight

Graph 1 - Payroll jobs and total wages, indexed to the week ending 14 March 2020 (a)
Week ending	Payroll jobs (pts)	Total wages (pts)
14-Mar-20	100.0	100.0
21-Mar-20	99.0	99.6
28-Mar-20	95.4	98.1
04-Apr-20	92.8	96.2
11-Apr-20	91.5	93.5
18-Apr-20	91.5	93.7
25-Apr-20	92.0	94.1
02-May-20	92.5	94.7
09-May-20	93.2	93.6
16-May-20	93.8	92.8
23-May-20	94.2	92.5
30-May-20	94.7	93.8
06-Jun-20	95.6	96.0
13-Jun-20	96.2	96.6
20-Jun-20	96.2	97.5
27-Jun-20	95.8	97.3
04-Jul-20	96.9	98.9
11-Jul-20	97.9	96.5
18-Jul-20	98.0	96.3
25-Jul-20	98.2	96.1
01-Aug-20	98.5	96.9
08-Aug-20	98.4	97.4
15-Aug-20	98.3	96.9
22-Aug-20	98.4	96.8
29-Aug-20	98.5	97.0
05-Sep-20	98.7	99.7
12-Sep-20	99.1	100.7
19-Sep-20	99.3	101.5
26-Sep-20	99.0	100.7
03-Oct-20	98.2	98.2
10-Oct-20	98.2	96.5
17-Oct-20	99.0	97.1
24-Oct-20	99.3	96.6
31-Oct-20	99.5	96.7
07-Nov-20	99.8	98.1
14-Nov-20	100.6	99.1
21-Nov-20	100.8	99.1
28-Nov-20	101.1	100.4
05-Dec-20	101.6	102.2
12-Dec-20	101.6	102.6
19-Dec-20	100.8	102.5
26-Dec-20	97.0	97.0
02-Jan-21	94.1	93.5
09-Jan-21	95.3	94.7
16-Jan-21	97.3	96.7
23-Jan-21	98.2	97.3
30-Jan-21	98.5	97.5
06-Feb-21	98.6	100.4
13-Feb-21	99.2	101.5
20-Feb-21	99.6	102.0
27-Feb-21	100.0	102.5
06-Mar-21	99.5	101.6
13-Mar-21	100.2	101.4

 Graph 1 - Payroll jobs and total wages, indexed to the week ending 14 March 2020 (a)

["Week ending","Payroll jobs","Total wages"]

[["14-Mar-20","21-Mar-20","28-Mar-20","04-Apr-20","11-Apr-20","18-Apr-20","25-Apr-20","02-May-20","09-May-20","16-May-20","23-May-20","30-May-20","06-Jun-20","13-Jun-20","20-Jun-20","27-Jun-20","04-Jul-20","11-Jul-20","18-Jul-20","25-Jul-20","01-Aug-20","08-Aug-20","15-Aug-20","22-Aug-20","29-Aug-20","05-Sep-20","12-Sep-20","19-Sep-20","26-Sep-20","03-Oct-20","10-Oct-20","17-Oct-20","24-Oct-20","31-Oct-20","07-Nov-20","14-Nov-20","21-Nov-20","28-Nov-20","05-Dec-20","12-Dec-20","19-Dec-20","26-Dec-20","02-Jan-21","09-Jan-21","16-Jan-21","23-Jan-21","30-Jan-21","06-Feb-21","13-Feb-21","20-Feb-21","27-Feb-21","06-Mar-21","13-Mar-21"],[[100],[99],[95.400000000000006],[92.799999999999997],[91.5],[91.5],[92],[92.5],[93.200000000000003],[93.799999999999997],[94.200000000000003],[94.700000000000003],[95.599999999999994],[96.200000000000003],[96.200000000000003],[95.799999999999997],[96.900000000000006],[97.900000000000006],[98],[98.200000000000003],[98.5],[98.400000000000006],[98.299999999999997],[98.400000000000006],[98.5],[98.700000000000003],[99.099999999999994],[99.299999999999997],[99],[98.200000000000003],[98.200000000000003],[99],[99.299999999999997],[99.5],[99.799999999999997],[100.59999999999999],[100.8],[101.09999999999999],[101.59999999999999],[101.59999999999999],[100.8],[97],[94.099999999999994],[95.299999999999997],[97.299999999999997],[98.200000000000003],[98.5],[98.599999999999994],[99.200000000000003],[99.599999999999994],[100],[99.5],[100.2]],[[100],[99.599999999999994],[98.099999999999994],[96.200000000000003],[93.5],[93.700000000000003],[94.099999999999994],[94.700000000000003],[93.599999999999994],[92.799999999999997],[92.5],[93.799999999999997],[96],[96.599999999999994],[97.5],[97.299999999999997],[98.900000000000006],[96.5],[96.299999999999997],[96.099999999999994],[96.900000000000006],[97.400000000000006],[96.900000000000006],[96.799999999999997],[97],[99.700000000000003],[100.7],[101.5],[100.7],[98.200000000000003],[96.5],[97.099999999999994],[96.599999999999994],[96.700000000000003],[98.099999999999994],[99.099999999999994],[99.099999999999994],[100.40000000000001],[102.2],[102.59999999999999],[102.5],[97],[93.5],[94.700000000000003],[96.700000000000003],[97.299999999999997],[97.5],[100.40000000000001],[101.5],[102],[102.5],[101.59999999999999],[101.40000000000001]]]

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Care should be exercised when focusing on the most recent movements in payroll jobs and wages. For more information, please see Data limitations and revisions. Weekly change data are available in the Data downloads.

State and territory

Since the week ending 14 March 2020 the largest changes across states and territories were:

Payroll jobs:

Northern Territory increased by 3.6%
Western Australia increased by 2.5%

Total wages:

Northern Territory increased by 4.9%
South Australia increased by 2.8%

Between the weeks ending 27 February and 13 March 2021 the largest changes were:

Payroll jobs:

Western Australia and the Northern Territory both increased by 0.7%
Queensland increased by 0.5%

Total wages:

Western Australia increased by 2.7%
Northern Territory increased by 2.5%

Table 1 - Percentage change by states and territories
	Payroll jobs		Total wages
	Change between 27 Feb 2021 and 13 Mar 2021 (a)	Change between 14 Mar 2020 and 13 Mar 2021	Change between 27 Feb 2021 and 13 Mar 2021 (a)	Change between 14 Mar 2020 and 13 Mar 2021
New South Wales	0.2%	0.0%	-1.9%	0.3%
Victoria	-0.1%	-0.7%	-1.9%	2.2%
Queensland	0.5%	0.2%	-0.6%	1.1%
South Australia	-0.1%	1.8%	-1.0%	2.8%
Western Australia	0.7%	2.5%	2.7%	2.4%
Tasmania	-0.4%	-1.1%	-0.6%	-0.1%
Northern Territory	0.7%	3.6%	2.5%	4.9%
Australian Capital Territory	0.0%	0.6%	-2.3%	1.5%
Australia	0.2%	0.2%	-1.0%	1.4%

a. Care should be exercised when focusing on the most recent movements in payroll jobs and wages. For more information, please see Data limitations and revisions. Weekly change data are available in Data downloads.

Sub-state - payroll jobs

Time series estimates of payroll jobs by sub-state regions, Statistical Area 4 (SA4) and Statistical Area 3 (SA3), are presented as index values through to the week ending 27 February 2021 in Table 5 of the Data downloads. These estimates are only updated in alternate releases.

SA4 regions

SA3 regions

For more information see Statistical Geography; or Australian Statistical Geography Standard, Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2016.

Interactive maps

Interactive maps of SA4 and SA3 regions present change in payroll jobs from the week ending 14 March 2020 for each week up to the week ending 27 February 2021. Map data are updated in alternate releases to coincide with the availability of sub-state estimates.

Percentage change values can differ between sub-state and state and territory regions. State and territory totals include records with 'unknown' sub-state characteristics. The differences may increase in size in finer levels of data. For more information, see the Data components, totals and index calculation section of Data limitations and revisions.

SA4 and SA3 boundaries presented accord with the Australian Statistical Geography Standard, Volume 1 - Main Structure and Greater Capital City Statistical Areas, July 2016.

How to use the interactive map:

Sex

Since the week ending 14 March 2020:

Payroll jobs:

Worked by males decreased by 2.3%
Worked by females decreased by 0.6%

Total wages:

Payments to females increased by 3.1%
Payments to males decreased by 0.8%

Between the weeks ending 27 February and 13 March 2021:

Payroll jobs:

Worked by females increased by 0.4%
Worked by males decreased by 0.1%

Total wages:

Payments to males decreased by 1.3%
Payments to females decreased by 0.6%

Table 2 - Percentage change by sex
	Payroll jobs		Total wages
	Change between 27 Feb 2021 and 13 Mar 2021 (a)	Change between 14 Mar 2020 and 13 Mar 2021	Change between 27 Feb 2021 and 13 Mar 2021 (a)	Change between 14 Mar 2020 and 13 Mar 2021
Males	-0.1%	-2.3%	-1.3%	-0.8%
Females	0.4%	-0.6%	-0.6%	3.1%
All persons (b)	0.2%	0.2%	-1.0%	1.4%

a. Care should be exercised when focusing on the most recent movements in payroll jobs and wages. For more information, please see Data limitations and revisions. Weekly change data are available in the Data downloads.
b. Indexes for males and females can move independently from All persons indexes due to the inclusion of persons with 'unknown' sex in the calculation of the All persons index. For more information see the Data components, total and index calculation section in Data limitations and revisions.

Graph 2 - Payroll jobs by sex, indexed to the week ending 14 March 2020 (a)
Week ending	Males (pts)	Females (pts)
14-Mar-20	100.0	100.0
21-Mar-20	99.1	98.8
28-Mar-20	96.4	94.8
04-Apr-20	94.5	91.7
11-Apr-20	93.5	90.2
18-Apr-20	93.5	90.2
25-Apr-20	93.9	90.9
02-May-20	94.1	91.6
09-May-20	94.6	92.4
16-May-20	95.1	93.1
23-May-20	95.2	93.6
30-May-20	95.5	94.2
06-Jun-20	96.1	95.4
13-Jun-20	96.4	96.0
20-Jun-20	96.1	96.2
27-Jun-20	95.3	96.1
04-Jul-20	96.5	97.0
11-Jul-20	97.9	97.6
18-Jul-20	98.1	97.6
25-Jul-20	98.3	97.8
01-Aug-20	98.4	98.1
08-Aug-20	98.4	98.0
15-Aug-20	98.4	97.8
22-Aug-20	98.4	97.8
29-Aug-20	98.4	98.0
05-Sep-20	98.5	98.2
12-Sep-20	98.8	98.5
19-Sep-20	98.9	98.7
26-Sep-20	98.6	98.4
03-Oct-20	97.9	97.3
10-Oct-20	97.9	97.3
17-Oct-20	98.4	98.2
24-Oct-20	98.4	98.6
31-Oct-20	98.4	98.9
07-Nov-20	98.6	99.3
14-Nov-20	99.3	99.9
21-Nov-20	99.4	100.2
28-Nov-20	99.5	100.5
05-Dec-20	99.8	101.0
12-Dec-20	99.8	100.8
19-Dec-20	98.8	100.0
26-Dec-20	94.9	96.5
02-Jan-21	92.2	93.5
09-Jan-21	93.8	94.2
16-Jan-21	96.0	95.9
23-Jan-21	96.8	96.7
30-Jan-21	97.0	97.1
06-Feb-21	97.0	97.3
13-Feb-21	97.4	98.0
20-Feb-21	97.6	98.5
27-Feb-21	97.8	99.1
06-Mar-21	97.1	98.7
13-Mar-21	97.7	99.4

Graph 2 - Payroll jobs by sex, indexed to the week ending 14 March 2020 (a)

["Week ending","Males","Females"]

[["14-Mar-20","21-Mar-20","28-Mar-20","04-Apr-20","11-Apr-20","18-Apr-20","25-Apr-20","02-May-20","09-May-20","16-May-20","23-May-20","30-May-20","06-Jun-20","13-Jun-20","20-Jun-20","27-Jun-20","04-Jul-20","11-Jul-20","18-Jul-20","25-Jul-20","01-Aug-20","08-Aug-20","15-Aug-20","22-Aug-20","29-Aug-20","05-Sep-20","12-Sep-20","19-Sep-20","26-Sep-20","03-Oct-20","10-Oct-20","17-Oct-20","24-Oct-20","31-Oct-20","07-Nov-20","14-Nov-20","21-Nov-20","28-Nov-20","05-Dec-20","12-Dec-20","19-Dec-20","26-Dec-20","02-Jan-21","09-Jan-21","16-Jan-21","23-Jan-21","30-Jan-21","06-Feb-21","13-Feb-21","20-Feb-21","27-Feb-21","06-Mar-21","13-Mar-21"],[[100],[99.099999999999994],[96.400000000000006],[94.5],[93.5],[93.5],[93.900000000000006],[94.099999999999994],[94.599999999999994],[95.099999999999994],[95.200000000000003],[95.5],[96.099999999999994],[96.400000000000006],[96.099999999999994],[95.299999999999997],[96.5],[97.900000000000006],[98.099999999999994],[98.299999999999997],[98.400000000000006],[98.400000000000006],[98.400000000000006],[98.400000000000006],[98.400000000000006],[98.5],[98.799999999999997],[98.900000000000006],[98.599999999999994],[97.900000000000006],[97.900000000000006],[98.400000000000006],[98.400000000000006],[98.400000000000006],[98.599999999999994],[99.299999999999997],[99.400000000000006],[99.5],[99.799999999999997],[99.799999999999997],[98.799999999999997],[94.900000000000006],[92.200000000000003],[93.799999999999997],[96],[96.799999999999997],[97],[97],[97.400000000000006],[97.599999999999994],[97.799999999999997],[97.099999999999994],[97.700000000000003]],[[100],[98.799999999999997],[94.799999999999997],[91.700000000000003],[90.200000000000003],[90.200000000000003],[90.900000000000006],[91.599999999999994],[92.400000000000006],[93.099999999999994],[93.599999999999994],[94.200000000000003],[95.400000000000006],[96],[96.200000000000003],[96.099999999999994],[97],[97.599999999999994],[97.599999999999994],[97.799999999999997],[98.099999999999994],[98],[97.799999999999997],[97.799999999999997],[98],[98.200000000000003],[98.5],[98.700000000000003],[98.400000000000006],[97.299999999999997],[97.299999999999997],[98.200000000000003],[98.599999999999994],[98.900000000000006],[99.299999999999997],[99.900000000000006],[100.2],[100.5],[101],[100.8],[100],[96.5],[93.5],[94.200000000000003],[95.900000000000006],[96.700000000000003],[97.099999999999994],[97.299999999999997],[98],[98.5],[99.099999999999994],[98.700000000000003],[99.400000000000006]]]

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Care should be exercised when focusing on the most recent movements in payroll jobs. For more information, please see Data limitations and revisions. Weekly change data are available in the Data downloads section.

Age group

Since the week ending 14 March 2020 the largest changes across age groups were:

Payroll jobs:

Worked by people aged 70 years and over increased by 5.6%
Worked by people aged aged 60-69 increased by 5.3%

Total wages:

Payments to people aged 70 years and over increased by 9.2%
Payments to people aged 60-69 increased by 6.4%

Between the weeks ending 27 February and 13 March 2021 the largest changes across age groups were:

Payroll jobs:

Worked by people aged 70 years and over increased by 1.7%
Worked by people aged 60-69 increased by 1.6%

Total wages:

Payments to people aged 15-19 decreased by 2.7%
Payments to people aged 30-39 decreased by 1.3%

Table 3 - Percentage change by age group
	Payroll jobs		Total wages
	Change between 27 Feb 2021 and 13 Mar 2021 (a)	Change between 14 Mar 2020 and 13 Mar 2021	Change between 27 Feb 2021 and 13 Mar 2021 (a)	Change between 14 Mar 2020 and 13 Mar 2021
15-19 year olds	0.1%	-0.5%	-2.7%	3.3%
20-29 year olds	0.2%	-0.9%	-1.1%	1.5%
30-39 year olds	0.0%	0.8%	-1.3%	1.5%
40-49 year olds	0.2%	0.7%	-1.0%	0.4%
50-59 year olds	0.6%	1.7%	-0.1%	1.8%
60-69 year olds	1.6%	5.3%	0.5%	6.4%
Aged 70 years and over	1.7%	5.6%	0.4%	9.2%
All persons	0.2%	0.2%	-1.0%	1.4%

a. Care should be exercised when focusing on the most recent movements in payroll jobs and wages. For more information, please see Data limitations and revisions. Weekly change data are available in Data downloads.

5 year age groups

Time series estimates of payroll jobs by 5 year age groups (presented as index values) up to the week ending 13 March 2021 are available in Table 8 of the Data downloads.

Industry

Since the week ending 14 March 2020 the largest changes across industry were:

Payroll jobs:

Accommodation and food services decreased by 11.1%
Information media and telecommunications decreased by 9.2%

Total wages:

Transport, postal and warehousing decreased by 8.3%
Accommodation and food services decreased by 8.1%

Between the weeks ending 27 February and 13 March 2021 the largest changes across industry were:

Payroll jobs:

Agriculture, forestry and fishing decreased by 3.2%
Information media and telecommunications decreased by 2.5%

Total wages:

Mining increased by 11.1%
Information media and telecommunications decreased by 8.3%

Table 4 - Percentage change by industry
	Payroll jobs		Total wages
	Change between 27 Feb 2021 and 13 Mar 2021 (a)	Change between 14 Mar 2020 and 13 Mar 2021	Change between 27 Feb 2021 and 13 Mar 2021 (a)	Change between 14 Mar 2020 and 13 Mar 2021
Agriculture, forestry and fishing	-3.2%	-5.3%	-3.3%	-0.5%
Mining (b)	0.6%	-0.8%	11.1%	-4.2%
Manufacturing	-0.5%	-3.4%	-1.5%	-2.2%
Electricity, gas, water and waste services	0.1%	2.3%	0.9%	7.3%
Construction	-0.6%	-3.8%	-0.8%	-3.1%
Wholesale trade	-0.3%	-3.4%	-1.1%	-3.6%
Retail trade	1.9%	-0.7%	1.7%	1.5%
Accommodation and food services	0.9%	-11.1%	0.8%	-8.1%
Transport, postal and warehousing	-0.3%	-6.4%	-0.5%	-8.3%
Information media and telecommunications	-2.5%	-9.2%	-8.3%	-3.4%
Financial and insurance services	0.1%	6.2%	-4.0%	0.5%
Rental, hiring and real estate services	-0.6%	-3.3%	-5.4%	-0.6%
Professional, scientific and technical services	-2.1%	-2.6%	-3.9%	0.2%
Administrative and support services	0.9%	2.4%	-3.6%	5.3%
Public administration and safety	0.9%	8.6%	-0.7%	4.9%
Education and training	2.3%	-2.5%	1.1%	1.4%
Health care and social assistance	0.4%	3.5%	-0.1%	5.0%
Arts and recreation services	0.1%	-0.7%	-4.6%	0.9%
Other services	-1.0%	-2.0%	-0.3%	3.3%
All industries	0.2%	0.2%	-1.0%	1.4%

a. Care should be exercised when focusing on the most recent movements in payroll jobs and wages. Weekly change data are available in Data downloads.
b. The Mining industry wages estimates in March and September may include annual bonuses. Please refer to the seasonality section in Data limitations and revisions for further information.

Graph 3 - Percentage change in payroll jobs by Industry between 14 March 2020 and 13 March 2021
	Percentage Change (%)
Agriculture, forestry and fishing	-5.3
Mining	-0.8
Manufacturing	-3.4
Electricity, gas, water and waste services	2.3
Construction	-3.8
Wholesale trade	-3.4
Retail trade	-0.7
Accommodation and food services	-11.1
Transport, postal and warehousing	-6.4
Information media and telecommunications	-9.2
Financial and insurance services	6.2
Rental, hiring and real estate services	-3.3
Professional, scientific and technical services	-2.6
Administrative and support services	2.4
Public administration and safety	8.6
Education and training	-2.5
Health care and social assistance	3.5
Arts and recreation services	-0.7
Other services	-2.0

Graph 3 - Percentage change in payroll jobs by Industry between 14 March 2020 and 13 March 2021

["","Percentage Change"]

[["Agriculture, forestry and fishing","Mining","Manufacturing","Electricity, gas, water and waste services","Construction","Wholesale trade","Retail trade","Accommodation and food services","Transport, postal and warehousing","Information media and telecommunications","Financial and insurance services","Rental, hiring and real estate services","Professional, scientific and technical services","Administrative and support services","Public administration and safety","Education and training","Health care and social assistance","Arts and recreation services","Other services"],[[-5.2999999999999998],[-0.80000000000000004],[-3.3999999999999999],[2.2999999999999998],[-3.7999999999999998],[-3.3999999999999999],[-0.69999999999999996],[-11.1],[-6.4000000000000004],[-9.1999999999999993],[6.2000000000000002],[-3.2999999999999998],[-2.6000000000000001],[2.3999999999999999],[8.5999999999999996],[-2.5],[3.5],[-0.69999999999999996],[-2]]]

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Industry subdivision - Payroll jobs

Updated estimates of payroll jobs by industry subdivision were updated through to the week ending 13 March 2021, as part of this release on Wednesday 31 March 2021.

Time series estimates of payroll jobs by industry subdivision (presented as index values) up to the week ending 13 March 2021 are available in Table 6 of the Data downloads. These estimates are only updated in alternate releases.

The subdivision level is the second broadest grouping of industries within the Australian and New Zealand Standard Industrial Classification. Industry subdivisions are built up from the industry groups which, in turn, are built up from industry classes.

Employment size

The following experimental estimates present payroll jobs by employment size between the weeks ending 14 March 2020 and 13 March 2021.

Care should be exercised when focusing on recent movements in payroll jobs by employment size, as they are subject to higher than usual levels of revision (over a longer period) than other estimates. This is particularly the case for small employers (with under 20 employees). Further information is presented on the impact of revisions to the small employers (under 20 employees) index in the Data limitations and revisions section of the Methodology (under Variation in revisions).

Table 5 - Percentage change in Payroll jobs by state and territory, by employment size as at 14 March 2020 (a)
		Change between 27 Feb 2021 and 13 Mar 2021	Change between 14 Mar 2020 and 13 Mar 2021
Under 20 employees	New South Wales	-2.3%	-4.2%
	Victoria	-2.5%	-4.0%
	Queensland	-1.5%	-0.9%
	South Australia	-1.5%	0.6%
	Western Australia	-1.5%	1.8%
	Tasmania	-1.4%	-1.9%
	Northern Territory	-0.8%	3.9%
	Australian Capital Territory	-3.3%	-1.9%
	Australia	-2.1%	-2.4%
20-199 employees	New South Wales	-0.6%	-3.3%
	Victoria	-0.3%	-4.0%
	Queensland	-0.2%	-1.7%
	South Australia	-0.3%	-1.3%
	Western Australia	-0.3%	-0.1%
	Tasmania	-0.5%	-5.4%
	Northern Territory	0.5%	0.0%
	Australian Capital Territory	-1.1%	-2.1%
	Australia	-0.4%	-2.7%
200 employees and over	New South Wales	1.8%	1.0%
	Victoria	1.3%	0.3%
	Queensland	1.8%	-1.5%
	South Australia	0.9%	1.3%
	Western Australia	2.3%	1.6%
	Tasmania	0.2%	-1.1%
	Northern Territory	1.7%	3.6%
	Australian Capital Territory	1.7%	0.6%
	Australia	1.7%	0.4%

a. Care should be exercised when focusing on the most recent movements in payroll jobs. For more information, please see Data limitations and revisions.

Employment size source

Data downloads

Table 1: National spotlight

Data files

Download xlsx [86.3 KB]

Table 2: State and territory spotlight

Data files

Download xlsx [416.41 KB]

Table 3: Industry spotlight

Data files

Download xlsx [717.02 KB]

Table 4: Payroll jobs and wages indexes

Data files

Download xlsx [2.52 MB]

Table 5: Sub-state - Payroll jobs indexes

These estimates are updated in alternate releases. They were last updated on Wednesday 17 March 2021 and will be next updated on Wednesday 14 April 2021.

Table 6: Industry subdivision - Payroll jobs indexes

These estimates are updated in alternate releases, and were updated to the week ending 13 March 2021 on Wednesday 31 March 2021.

Data files

Download xlsx [71.88 KB]

Table 7: Employer characteristics - Payroll jobs index

Previously titled Employment size - Payroll jobs index

Data files

Download xlsx [46.56 KB]

Table 8: Jobholder characteristics - Payroll jobs index

Contains estimates of payroll jobs by 5 year age groups, available in this release since 3 March 2021.

Data files

Download xlsx [50.3 KB]

All data cubes

Updated to include Table 6 as released on Wednesday 31 March 2021

Data files

Download zip [2.75 MB]

Changes in this release

The following section was updated in this release:

Data downloads: From this release, data downloads for sub-state and industry subdivision will only be added when updated data are available, in alternate releases.

Post-release changes

31 March 2021: Industry subdivision - Payroll jobs indexes (Table 6 of the Data downloads) were updated to the week ending 13 March 2021.

Previous articles

Previously published articles and information of interest are linked below:

Year-end data variability provides some context on seasonality and seasonal variation
Secondary jobs provides insight into multiple jobholders
Incorporating JobKeeper supported payments into Weekly payroll jobs and wages in Australia describes how JobKeeper payments are included

Previous catalogue number

This release previously used catalogue number 6160.0.55.001.

APA

Citation

Weekly Payroll Jobs and Wages in Australia

APA

Citation

Key statistics

National

State and territory

Sub-state - payroll jobs

SA4 regions

SA3 regions

Interactive maps

How to use the interactive map:

Sex

Age group

5 year age groups

Industry

Industry subdivision - Payroll jobs

Employment size

Employment size source

Data downloads

Table 1: National spotlight

Table 2: State and territory spotlight

Table 3: Industry spotlight

Table 4: Payroll jobs and wages indexes

Table 5: Sub-state - Payroll jobs indexes

Table 6: Industry subdivision - Payroll jobs indexes

Table 7: Employer characteristics - Payroll jobs index

Table 8: Jobholder characteristics - Payroll jobs index

All data cubes

Changes in this release

Post-release changes

Previous articles

Previous catalogue number

Methodology

Do you need more detailed statistics?

Request data

Microdata and TableBuilder

Provide feedback

APA

Weekly Payroll Jobs and Wages in Australia

APA

Key statistics

National

State and territory

Sub-state - payroll jobs

SA4 regions

SA3 regions

Interactive maps

How to use the interactive map:

Sex

Age group

5 year age groups

Industry

Industry subdivision - Payroll jobs

Employment size

Employment size source

Data downloads

Table 1: National spotlight

Table 2: State and territory spotlight

Table 3: Industry spotlight

Table 4: Payroll jobs and wages indexes

Table 5: Sub-state - Payroll jobs indexes

Table 6: Industry subdivision - Payroll jobs indexes

Table 7: Employer characteristics - Payroll jobs index

Table 8: Jobholder characteristics - Payroll jobs index

All data cubes

Changes in this release

Post-release changes

Previous articles

Previous catalogue number

Methodology

Articles

A year of COVID-19 through payroll jobs and wages statistics

Media releases

Payroll job losses recovered within a year

Do you need more detailed statistics?

Request data

Microdata and TableBuilder