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Retail Trade, Australia

This is not the latest release View the latest release

Monthly and quarterly estimates of turnover and volumes for retail businesses, including store and online sales.

Reference period

July 2022

Released

29/08/2022

View all releases

Key statistics

The July 2022 seasonally adjusted estimate:

Rose 1.3% month-on-month.
Rose 16.5% compared with July 2021.

An additional information release on 5 September 2022 has seen the inclusion of more detailed results for the July 2022 reference period. Additional timeseries spreadsheets have been published, including; state by industry results, state by industry sub-group results, quarterly turnover volumes, and online sales.

To understand more about changes in this issue, suspension of trend estimates, and COVID-19 in July 2022, please read the survey impacts and changes.

Turnover at current prices
	Jul-2022 ($m)	Jun-2022 to Jul-2022 (% change)	Jul-2021 to Jul-2022 (% change)
Trend	na	na	na
Seasonally adjusted	34,669.3	1.3	16.5

na not available

Total retail turnover

Monthly turnover, current prices - seasonally adjusted estimate
Month	Monthly (%)	Through the year (%)
Jul-2019	0.2	2.5
Aug-2019	0.4	2.4
Sep-2019	0.3	2.5
Oct-2019	0.1	2.3
Nov-2019	0.8	3.3
Dec-2019	-0.4	2.6
Jan-2020	-0.4	2.0
Feb-2020	0.5	1.9
Mar-2020	8.1	9.9
Apr-2020	-17.4	-9.0
May-2020	16.3	5.6
Jun-2020	2.9	8.3
Jul-2020	3.7	12.1
Aug-2020	-4.2	7.0
Sep-2020	-0.8	5.8
Oct-2020	1.3	7.1
Nov-2020	6.5	13.1
Dec-2020	-3.3	9.9
Jan-2021	0.2	10.5
Feb-2021	-0.8	9.1
Mar-2021	1.3	2.3
Apr-2021	0.8	24.9
May-2021	0.2	7.5
Jun-2021	-1.4	3.0
Jul-2021	-2.6	-3.2
Aug-2021	-1.7	-0.7
Sep-2021	1.7	1.8
Oct-2021	4.6	5.1
Nov-2021	7.1	5.7
Dec-2021	-4.1	4.8
Jan-2022	1.6	6.3
Feb-2022	1.8	9.1
Mar-2022	1.6	9.4
Apr-2022	0.9	9.6
May-2022	0.7	10.2
Jun-2022	0.2	12.0
Jul-2022	1.3	16.5

Monthly turnover, current prices - seasonally adjusted estimate

["Month","Monthly","Through the year"]

[["Jul-2019","Aug-2019","Sep-2019","Oct-2019","Nov-2019","Dec-2019","Jan-2020","Feb-2020","Mar-2020","Apr-2020","May-2020","Jun-2020","Jul-2020","Aug-2020","Sep-2020","Oct-2020","Nov-2020","Dec-2020","Jan-2021","Feb-2021","Mar-2021","Apr-2021","May-2021","Jun-2021","Jul-2021","Aug-2021","Sep-2021","Oct-2021","Nov-2021","Dec-2021","Jan-2022","Feb-2022","Mar-2022","Apr-2022","May-2022","Jun-2022","Jul-2022"],[[0.20000000000000001],[0.40000000000000002],[0.29999999999999999],[0.10000000000000001],[0.80000000000000004],[-0.40000000000000002],[-0.40000000000000002],[0.5],[8.0999999999999996],[-17.399999999999999],[16.300000000000001],[2.8999999999999999],[3.7000000000000002],[-4.2000000000000002],[-0.80000000000000004],[1.3],[6.5],[-3.2999999999999998],[0.20000000000000001],[-0.80000000000000004],[1.3],[0.80000000000000004],[0.20000000000000001],[-1.3999999999999999],[-2.6000000000000001],[-1.7],[1.7],[4.5999999999999996],[7.0999999999999996],[-4.0999999999999996],[1.6000000000000001],[1.8],[1.6000000000000001],[0.90000000000000002],[0.69999999999999996],[0.20000000000000001],[1.3]],[[2.5],[2.3999999999999999],[2.5],[2.2999999999999998],[3.2999999999999998],[2.6000000000000001],[2],[1.8999999999999999],[9.9000000000000004],[-9],[5.5999999999999996],[8.3000000000000007],[12.1],[7],[5.7999999999999998],[7.0999999999999996],[13.1],[9.9000000000000004],[10.5],[9.0999999999999996],[2.2999999999999998],[24.899999999999999],[7.5],[3],[-3.2000000000000002],[-0.69999999999999996],[1.8],[5.0999999999999996],[5.7000000000000002],[4.7999999999999998],[6.2999999999999998],[9.0999999999999996],[9.4000000000000004],[9.5999999999999996],[10.199999999999999],[12],[16.5]]]

[]

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Total level, current prices - seasonally adjusted
Month	Seasonally adjusted ($m)
Jul-19	27,428.6
Aug-19	27,536.7
Sep-19	27,620.4
Oct-19	27,659.5
Nov-19	27,891.4
Dec-19	27,767.6
Jan-20	27,657.7
Feb-20	27,791.6
Mar-20	30,030.8
Apr-20	24,796.5
May-20	28,835.2
Jun-20	29,660.3
Jul-20	30,753
Aug-20	29,469
Sep-20	29,228.9
Oct-20	29,617.8
Nov-20	31,555.8
Dec-20	30,516.7
Jan-21	30,569.9
Feb-21	30,332.5
Mar-21	30,725.9
Apr-21	30,960
May-21	31,007.7
Jun-21	30,563.8
Jul-21	29,761.4
Aug-21	29,261.9
Sep-21	29,756.7
Oct-21	31,132.7
Nov-21	33,345
Dec-21	31,967.9
Jan-22	32,492
Feb-22	33,085.4
Mar-22	33,626.1
Apr-22	33,923.1
May-22	34,172
Jun-22	34,239.3
Jul-22	34,669.3

Total level, current prices - seasonally adjusted

["Month","Seasonally adjusted"]

[["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"],[[27428.599999999999],[27536.700000000001],[27620.400000000001],[27659.5],[27891.400000000001],[27767.599999999999],[27657.700000000001],[27791.599999999999],[30030.799999999999],[24796.5],[28835.200000000001],[29660.299999999999],[30753],[29469],[29228.900000000001],[29617.799999999999],[31555.799999999999],[30516.700000000001],[30569.900000000001],[30332.5],[30725.900000000001],[30960],[31007.700000000001],[30563.799999999999],[29761.400000000001],[29261.900000000001],[29756.700000000001],[31132.700000000001],[33345],[31967.900000000001],[32492],[33085.400000000001],[33626.099999999999],[33923.099999999999],[34172],[34239.300000000003],[34669.300000000003]]]

[]

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Monthly turnover, current prices, by industry - percentage change from previous month
Industry	Seasonally adjusted (%)
Food retailing	1.2
Household goods retailing	-1.1
Clothing, footwear and personal accessory retailing	3.3
Department stores	3.8
Other retailing	1.6
Cafes, restaurants and takeaway food services	1.8
Total	1.3

Monthly turnover, current prices, by industry - percentage change from previous month

["Industry","Seasonally adjusted"]

[["Food retailing","Household goods retailing","Clothing, footwear and personal accessory retailing","Department stores","Other retailing","Cafes, restaurants and takeaway food services","Total"],[[1.2],[-1.1000000000000001],[3.2999999999999998],[3.7999999999999998],[1.6000000000000001],[1.8],[1.3]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"-2","axis_max":"5","tick_interval":"1","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Monthly turnover, current prices, by state and territory - percentage change from previous month
State	Seasonally adjusted (%)
New South Wales	1.3
Victoria	1.8
Queensland	0.4
South Australia	1.2
Western Australia	1.6
Tasmania	-0.3
Northern Territory	0.7
Australian Capital Territory	1.8
Total	1.3

Monthly turnover, current prices, by state and territory - percentage change from previous month

["State","Seasonally adjusted"]

[["New South Wales","Victoria","Queensland","South Australia","Western Australia","Tasmania","Northern Territory","Australian Capital Territory","Total"],[[1.3],[1.8],[0.40000000000000002],[1.2],[1.6000000000000001],[-0.29999999999999999],[0.69999999999999996],[1.8],[1.3]]]

[]

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Analysis by industry

Food retailing

Food retailing rose 1.2% ($163.1m) in July, in seasonally adjusted terms.

Food retailing
Month	Seasonally adjusted ($m)
Jul-19	11,234.8
Aug-19	11,262.5
Sep-19	11,322.4
Oct-19	11,374.2
Nov-19	11,441.4
Dec-19	11,445.1
Jan-20	11,444.6
Feb-20	11,554
Mar-20	14,342.6
Apr-20	11,838.1
May-20	12,635.1
Jun-20	12,721.4
Jul-20	12,901.2
Aug-20	12,878.1
Sep-20	12,737.9
Oct-20	12,729.5
Nov-20	12,707.3
Dec-20	12,581.2
Jan-21	12,669.1
Feb-21	12,350.5
Mar-21	12,297
Apr-21	12,373.2
May-21	12,487.4
Jun-21	12,655.1
Jul-21	12,910.9
Aug-21	13,224.5
Sep-21	13,075.4
Oct-21	12,981.5
Nov-21	12,683.6
Dec-21	12,944.2
Jan-22	13,221.4
Feb-22	12,881.2
Mar-22	12,939.6
Apr-22	13,182.7
May-22	13,196.8
Jun-22	13,160.9
Jul-22	13,324

Food retailing

["Month","Seasonally adjusted"]

[["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"],[[11234.799999999999],[11262.5],[11322.4],[11374.200000000001],[11441.4],[11445.1],[11444.6],[11554],[14342.6],[11838.1],[12635.1],[12721.4],[12901.200000000001],[12878.1],[12737.9],[12729.5],[12707.299999999999],[12581.200000000001],[12669.1],[12350.5],[12297],[12373.200000000001],[12487.4],[12655.1],[12910.9],[13224.5],[13075.4],[12981.5],[12683.6],[12944.200000000001],[13221.4],[12881.200000000001],[12939.6],[13182.700000000001],[13196.799999999999],[13160.9],[13324]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"$m","axis_units":"","tooltip_units":"(m)","table_units":"($m)","axis_min":"11000","axis_max":"14500","tick_interval":"500","precision":"-1","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Household goods retailing

Household goods retailing fell 1.1% (-$68.8m) in July, in seasonally adjusted terms.

Household goods retailing
Month	Seasonally adjusted ($m)
Jul-19	4,603.3
Aug-19	4,621.6
Sep-19	4,627.7
Oct-19	4,637.5
Nov-19	4,684.5
Dec-19	4,663.6
Jan-20	4,615.7
Feb-20	4,635.7
Mar-20	5,022.2
Apr-20	5,056.7
May-20	5,863.4
Jun-20	5,704.7
Jul-20	5,980.5
Aug-20	5,587.3
Sep-20	5,381.6
Oct-20	5,359.6
Nov-20	5,988.5
Dec-20	5,514
Jan-21	5,506.4
Feb-21	5,535.2
Mar-21	5,544.4
Apr-21	5,605.9
May-21	5,551.9
Jun-21	5,514.1
Jul-21	5,392.5
Aug-21	5,257.4
Sep-21	5,487.7
Oct-21	5,702.2
Nov-21	6,401.3
Dec-21	5,792.8
Jan-22	5,846.5
Feb-22	5,983.3
Mar-22	6,188.2
Apr-22	6,023.3
May-22	6,046.6
Jun-22	6,028.6
Jul-22	5,959.8

Household goods retailing

["Month","Seasonally adjusted"]

[["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"],[[4603.3000000000002],[4621.6000000000004],[4627.6999999999998],[4637.5],[4684.5],[4663.6000000000004],[4615.6999999999998],[4635.6999999999998],[5022.1999999999998],[5056.6999999999998],[5863.3999999999996],[5704.6999999999998],[5980.5],[5587.3000000000002],[5381.6000000000004],[5359.6000000000004],[5988.5],[5514],[5506.3999999999996],[5535.1999999999998],[5544.3999999999996],[5605.8999999999996],[5551.8999999999996],[5514.1000000000004],[5392.5],[5257.3999999999996],[5487.6999999999998],[5702.1999999999998],[6401.3000000000002],[5792.8000000000002],[5846.5],[5983.3000000000002],[6188.1999999999998],[6023.3000000000002],[6046.6000000000004],[6028.6000000000004],[5959.8000000000002]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"$m","axis_units":"","tooltip_units":"(m)","table_units":"($m)","axis_min":"4500","axis_max":null,"tick_interval":null,"precision":"-1","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Clothing, footwear and personal accessory retailing

Clothing, footwear and personal accessory retailing rose 3.3% ($96.4m) in July, in seasonally adjusted terms.

Clothing, footwear and personal accessory retailing
Month	Seasonally adjusted ($m)
Jul-19	2,158.3
Aug-19	2,192
Sep-19	2,182.4
Oct-19	2,175.2
Nov-19	2,228
Dec-19	2,186.1
Jan-20	2,185
Feb-20	2,102.8
Mar-20	1,602
Apr-20	753.5
May-20	1,725.2
Jun-20	2,073.6
Jul-20	2,247.6
Aug-20	1,975.9
Sep-20	1,976.7
Oct-20	2,114
Nov-20	2,604.2
Dec-20	2,410.1
Jan-21	2,372
Feb-21	2,385.8
Mar-21	2,470.8
Apr-21	2,539.2
May-21	2,506.3
Jun-21	2,297.7
Jul-21	1,969.1
Aug-21	1,627.1
Sep-21	1,757
Oct-21	2,241
Nov-21	3,016.1
Dec-21	2,557
Jan-22	2,527.3
Feb-22	2,809.9
Mar-22	2,824.2
Apr-22	2,912.8
May-22	2,871.3
Jun-22	2,907.5
Jul-22	3,003.9

Clothing, footwear and personal accessory retailing

["Month","Seasonally adjusted"]

[["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"],[[2158.3000000000002],[2192],[2182.4000000000001],[2175.1999999999998],[2228],[2186.0999999999999],[2185],[2102.8000000000002],[1602],[753.5],[1725.2],[2073.5999999999999],[2247.5999999999999],[1975.9000000000001],[1976.7],[2114],[2604.1999999999998],[2410.0999999999999],[2372],[2385.8000000000002],[2470.8000000000002],[2539.1999999999998],[2506.3000000000002],[2297.6999999999998],[1969.0999999999999],[1627.0999999999999],[1757],[2241],[3016.0999999999999],[2557],[2527.3000000000002],[2809.9000000000001],[2824.1999999999998],[2912.8000000000002],[2871.3000000000002],[2907.5],[3003.9000000000001]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"$m","axis_units":"","tooltip_units":"(m)","table_units":"($m)","axis_min":"500","axis_max":null,"tick_interval":null,"precision":"-1","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Department stores

Department stores rose 3.8% ($67.7m) in July, in seasonally adjusted terms.

Department stores
Month	Seasonally adjusted ($m)
Jul-19	1,552.8
Aug-19	1,577.9
Sep-19	1,578.9
Oct-19	1,570.8
Nov-19	1,617.7
Dec-19	1,585.2
Jan-20	1,532.2
Feb-20	1,582.2
Mar-20	1,444.4
Apr-20	1,228
May-20	1,764.6
Jun-20	1,564.2
Jul-20	1,618.9
Aug-20	1,475.7
Sep-20	1,500.7
Oct-20	1,569.3
Nov-20	1,864.6
Dec-20	1,678.5
Jan-21	1,649.4
Feb-21	1,673.1
Mar-21	1,804
Apr-21	1,691.2
May-21	1,671.9
Jun-21	1,563.9
Jul-21	1,381.2
Aug-21	1,245.8
Sep-21	1,248.1
Oct-21	1,521.1
Nov-21	1,892.1
Dec-21	1,528.3
Jan-22	1,580.6
Feb-22	1,756.5
Mar-22	1,828.2
Apr-22	1,782.5
May-22	1,873.6
Jun-22	1,805.1
Jul-22	1,872.8

Department stores

["Month","Seasonally adjusted"]

[["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"],[[1552.8],[1577.9000000000001],[1578.9000000000001],[1570.8],[1617.7],[1585.2],[1532.2],[1582.2],[1444.4000000000001],[1228],[1764.5999999999999],[1564.2],[1618.9000000000001],[1475.7],[1500.7],[1569.3],[1864.5999999999999],[1678.5],[1649.4000000000001],[1673.0999999999999],[1804],[1691.2],[1671.9000000000001],[1563.9000000000001],[1381.2],[1245.8],[1248.0999999999999],[1521.0999999999999],[1892.0999999999999],[1528.3],[1580.5999999999999],[1756.5],[1828.2],[1782.5],[1873.5999999999999],[1805.0999999999999],[1872.8]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"$m","axis_units":"","tooltip_units":"(m)","table_units":"($m)","axis_min":"1200","axis_max":"2000","tick_interval":"200","precision":"-1","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Other retailing

Other retailing rose 1.6% ($84.2m) in July, in seasonally adjusted terms.

Other retailing
Month	Seasonally adjusted ($m)
Jul-19	3,971.5
Aug-19	3,992.3
Sep-19	4,004.5
Oct-19	3,993.7
Nov-19	3,965.6
Dec-19	3,971.6
Jan-20	3,955.4
Feb-20	3,971.1
Mar-20	4,602.4
Apr-20	3,966.7
May-20	4,311.7
Jun-20	4,340.8
Jul-20	4,575.5
Aug-20	4,330.5
Sep-20	4,299.6
Oct-20	4,364.6
Nov-20	4,692.3
Dec-20	4,503.1
Jan-21	4,546.9
Feb-21	4,534.8
Mar-21	4,584.1
Apr-21	4,648.8
May-21	4,670.7
Jun-21	4,642.1
Jul-21	4,680.2
Aug-21	4,716.3
Sep-21	4,825.1
Oct-21	4,910.7
Nov-21	5,246.7
Dec-21	5,053.3
Jan-22	5,246.2
Feb-22	5,189
Mar-22	5,290.5
Apr-22	5,317.8
May-22	5,396.8
Jun-22	5,422.7
Jul-22	5,506.9

Other retailing

["Month","Seasonally adjusted"]

[["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"],[[3971.5],[3992.3000000000002],[4004.5],[3993.6999999999998],[3965.5999999999999],[3971.5999999999999],[3955.4000000000001],[3971.0999999999999],[4602.3999999999996],[3966.6999999999998],[4311.6999999999998],[4340.8000000000002],[4575.5],[4330.5],[4299.6000000000004],[4364.6000000000004],[4692.3000000000002],[4503.1000000000004],[4546.8999999999996],[4534.8000000000002],[4584.1000000000004],[4648.8000000000002],[4670.6999999999998],[4642.1000000000004],[4680.1999999999998],[4716.3000000000002],[4825.1000000000004],[4910.6999999999998],[5246.6999999999998],[5053.3000000000002],[5246.1999999999998],[5189],[5290.5],[5317.8000000000002],[5396.8000000000002],[5422.6999999999998],[5506.8999999999996]]]

[]

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Cafes, restaurants and takeaway food services

Cafes, restaurants and takeaway food services rose 1.8% ($87.3m) in July, in seasonally adjusted terms.

Cafes, restaurants and takeaway food services
Month	Seasonally adjusted ($m)
Jul-19	3,907.8
Aug-19	3,890.4
Sep-19	3,904.4
Oct-19	3,908.1
Nov-19	3,954.3
Dec-19	3,916
Jan-20	3,924.9
Feb-20	3,945.8
Mar-20	3,017.2
Apr-20	1,953.5
May-20	2,535.2
Jun-20	3,255.6
Jul-20	3,429.3
Aug-20	3,221.4
Sep-20	3,332.5
Oct-20	3,480.7
Nov-20	3,698.8
Dec-20	3,829.9
Jan-21	3,826.1
Feb-21	3,853.2
Mar-21	4,025.6
Apr-21	4,101.7
May-21	4,119.5
Jun-21	3,891
Jul-21	3,427.4
Aug-21	3,190.8
Sep-21	3,363.3
Oct-21	3,776.1
Nov-21	4,105.2
Dec-21	4,092.2
Jan-22	4,069.9
Feb-22	4,465.5
Mar-22	4,555.5
Apr-22	4,704
May-22	4,787.1
Jun-22	4,914.6
Jul-22	5,001.9

Cafes, restaurants and takeaway food services

["Month","Seasonally adjusted"]

[["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"],[[3907.8000000000002],[3890.4000000000001],[3904.4000000000001],[3908.0999999999999],[3954.3000000000002],[3916],[3924.9000000000001],[3945.8000000000002],[3017.1999999999998],[1953.5],[2535.1999999999998],[3255.5999999999999],[3429.3000000000002],[3221.4000000000001],[3332.5],[3480.6999999999998],[3698.8000000000002],[3829.9000000000001],[3826.0999999999999],[3853.1999999999998],[4025.5999999999999],[4101.6999999999998],[4119.5],[3891],[3427.4000000000001],[3190.8000000000002],[3363.3000000000002],[3776.0999999999999],[4105.1999999999998],[4092.1999999999998],[4069.9000000000001],[4465.5],[4555.5],[4704],[4787.1000000000004],[4914.6000000000004],[5001.8999999999996]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"$m","axis_units":"","tooltip_units":"(m)","table_units":"($m)","axis_min":"1500","axis_max":"5500","tick_interval":"500","precision":"-1","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Online retailing

Total online retailing sales were $3,627.1m in July 2022, in seasonally adjusted terms. Seasonally adjusted online sales fell 0.5 per cent (-$19.7m), following a rise of 0.2 per cent ($9.0m) in June 2022. Seasonally adjusted through-the-year sales are down 1.7% (-$62.5m) as online sales were boosted in July 2021, due to the impacts of the Delta outbreak. Whilst online sales are down through-the-year, they remain above the level of any month prior to the Delta outbreak.

Total online, original and seasonally adjusted
	Original ($m)	Seasonally adjusted ($m)
Jan-16	780.6	846.4
Feb-16	732.2	820.9
Mar-16	810.6	833.5
Apr-16	771.4	859.9
May-16	840.4	862.3
Jun-16	904.1	886.8
Jul-16	827.3	880.5
Aug-16	871.8	889.5
Sep-16	923.8	928.3
Oct-16	986.0	955.4
Nov-16	1,108.8	955.8
Dec-16	1,265.1	1,022.5
Jan-17	903.0	976.9
Feb-17	825.4	964.8
Mar-17	939.1	963.2
Apr-17	862.0	948.4
May-17	1,000.7	1,016.1
Jun-17	1,039.3	1,045.9
Jul-17	1,048.2	1,094.3
Aug-17	1,133.8	1,142.8
Sep-17	1,109.3	1,143.8
Oct-17	1,234.8	1,195.9
Nov-17	1,510.6	1,254.7
Dec-17	1,601.8	1,317.9
Jan-18	1,229.4	1,330.1
Feb-18	1,201.2	1,413.3
Mar-18	1,360.6	1,426.8
Apr-18	1,351.9	1,469.6
May-18	1,483.5	1,498.6
Jun-18	1,484.0	1,546.5
Jul-18	1,447.6	1,506.6
Aug-18	1,499.0	1,486.5
Sep-18	1,485.4	1,506.4
Oct-18	1,621.5	1,557.8
Nov-18	1,929.6	1,628.7
Dec-18	1,950.6	1,591.6
Jan-19	1,520.1	1,633.6
Feb-19	1,388.0	1,640.4
Mar-19	1,560.7	1,652.4
Apr-19	1,513.8	1,691.1
May-19	1,693.1	1,705.2
Jun-19	1,659.1	1,714.6
Jul-19	1,680.5	1,727.7
Aug-19	1,737.6	1,732.3
Sep-19	1,758.3	1,750
Oct-19	1,867.2	1,765.8
Nov-19	2,118.4	1,829.5
Dec-19	2,306.7	1,911.5
Jan-20	1,712.5	1,830.8
Feb-20	1,675.8	1,932.2
Mar-20	2,069.0	2,192.5
Apr-20	2,615.4	2,808.4
May-20	2,859.1	2,960.9
Jun-20	2,766.6	2,953.1
Jul-20	2,950.5	2,947.7
Aug-20	3,135.7	3,060.3
Sep-20	3,010.0	3,038.7
Oct-20	3,157.6	3,002.3
Nov-20	3,632.1	3,035.6
Dec-20	3,548.7	2,926.6
Jan-21	2,740.4	2,992.7
Feb-21	2,496.6	2,981.2
Mar-21	2,856.7	3,018.9
Apr-21	2,677.1	2,948.7
May-21	2,759.4	2,805.1
Jun-21	3,092.7	3,307.1
Jul-21	3,659.0	3,689.6
Aug-21	4,254.9	4,201
Sep-21	4,409.5	4,257.2
Oct-21	4,178.8	3,998.8
Nov-21	4,403.8	3,801.5
Dec-21	4,305.1	3,547.5
Jan-22	3,541.3	3,792.4
Feb-22	3,048.2	3,662
Mar-22	3,580.7	3,724.7
Apr-22	3,246.9	3,672
May-22	3,505.4	3,637.8
Jun-22	3,544.4	3,646.8
Jul-22	3,584.0	3,627.1

Total online, original and seasonally adjusted

["","Original","Seasonally adjusted"]

[["Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","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"],[[780.60000000000002],[732.20000000000005],[810.60000000000002],[771.39999999999998],[840.39999999999998],[904.10000000000002],[827.29999999999995],[871.79999999999995],[923.79999999999995],[986],[1108.8],[1265.0999999999999],[903],[825.39999999999998],[939.10000000000002],[862],[1000.7],[1039.3],[1048.2],[1133.8],[1109.3],[1234.8],[1510.5999999999999],[1601.8],[1229.4000000000001],[1201.2],[1360.5999999999999],[1351.9000000000001],[1483.5],[1484],[1447.5999999999999],[1499],[1485.4000000000001],[1621.5],[1929.5999999999999],[1950.5999999999999],[1520.0999999999999],[1388],[1560.7],[1513.8],[1693.0999999999999],[1659.0999999999999],[1680.5],[1737.5999999999999],[1758.3],[1867.2],[2118.4000000000001],[2306.6999999999998],[1712.5],[1675.8],[2069],[2615.4000000000001],[2859.0999999999999],[2766.5999999999999],[2950.5],[3135.6999999999998],[3010],[3157.5999999999999],[3632.0999999999999],[3548.6999999999998],[2740.4000000000001],[2496.5999999999999],[2856.6999999999998],[2677.0999999999999],[2759.4000000000001],[3092.6999999999998],[3659],[4254.8999999999996],[4409.5],[4178.8000000000002],[4403.8000000000002],[4305.1000000000004],[3541.3000000000002],[3048.1999999999998],[3580.6999999999998],[3246.9000000000001],[3505.4000000000001],[3544.4000000000001],[3584]],[[846.39999999999998],[820.89999999999998],[833.5],[859.89999999999998],[862.29999999999995],[886.79999999999995],[880.5],[889.5],[928.29999999999995],[955.39999999999998],[955.79999999999995],[1022.5],[976.89999999999998],[964.79999999999995],[963.20000000000005],[948.39999999999998],[1016.1],[1045.9000000000001],[1094.3],[1142.8],[1143.8],[1195.9000000000001],[1254.7],[1317.9000000000001],[1330.0999999999999],[1413.3],[1426.8],[1469.5999999999999],[1498.5999999999999],[1546.5],[1506.5999999999999],[1486.5],[1506.4000000000001],[1557.8],[1628.7],[1591.5999999999999],[1633.5999999999999],[1640.4000000000001],[1652.4000000000001],[1691.0999999999999],[1705.2],[1714.5999999999999],[1727.7],[1732.3],[1750],[1765.8],[1829.5],[1911.5],[1830.8],[1932.2],[2192.5],[2808.4000000000001],[2960.9000000000001],[2953.0999999999999],[2947.6999999999998],[3060.3000000000002],[3038.6999999999998],[3002.3000000000002],[3035.5999999999999],[2926.5999999999999],[2992.6999999999998],[2981.1999999999998],[3018.9000000000001],[2948.6999999999998],[2805.0999999999999],[3307.0999999999999],[3689.5999999999999],[4201],[4257.1999999999998],[3998.8000000000002],[3801.5],[3547.5],[3792.4000000000001],[3662],[3724.6999999999998],[3672],[3637.8000000000002],[3646.8000000000002],[3627.0999999999999]]]

[]

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In July 2022, Food online sales were $1,021.2m, and Non-Food online sales were $2,606.0m, in seasonally adjusted terms. Non-Food sales fell 1.2 per cent (-$30.6m), which was partially offset by a rise of 1.1 per cent ($11.0m) in Food sales.

Online sales, Food and Non-Food, seasonally adjusted
	Food ($m)	Non-Food ($m)
Jan-16	210.2	636.1
Feb-16	211.1	609.8
Mar-16	209.8	623.6
Apr-16	218.7	641.3
May-16	211.2	651.1
Jun-16	212.1	674.7
Jul-16	211.9	668.6
Aug-16	222.1	667.4
Sep-16	223.4	705.0
Oct-16	231.4	724.1
Nov-16	240.1	715.7
Dec-16	243.3	779.2
Jan-17	267.5	709.4
Feb-17	260.2	704.5
Mar-17	250.9	712.4
Apr-17	270.5	677.9
May-17	281.3	734.8
Jun-17	296.3	749.6
Jul-17	283.6	810.7
Aug-17	281.9	860.9
Sep-17	284.9	858.8
Oct-17	296.3	899.6
Nov-17	304.6	950.2
Dec-17	324.1	993.8
Jan-18	335	995.0
Feb-18	347.9	1,065.4
Mar-18	352.1	1,074.7
Apr-18	360.4	1,109.2
May-18	366.7	1,131.9
Jun-18	374.8	1,171.7
Jul-18	387.6	1,119.0
Aug-18	382.1	1,104.4
Sep-18	379.7	1,126.7
Oct-18	379.6	1,178.2
Nov-18	422.1	1,206.7
Dec-18	421.8	1,169.8
Jan-19	424.9	1,208.6
Feb-19	426.3	1,214.1
Mar-19	446	1,206.3
Apr-19	440.6	1,250.5
May-19	455.7	1,249.5
Jun-19	456	1,258.6
Jul-19	454.7	1,273.0
Aug-19	455.6	1,276.7
Sep-19	476.9	1,273.2
Oct-19	503.3	1,262.6
Nov-19	501.8	1,327.7
Dec-19	495.3	1,416.2
Jan-20	500.6	1,330.2
Feb-20	531.4	1,400.8
Mar-20	534.8	1,657.7
Apr-20	579.5	2,228.9
May-20	747.6	2,213.3
Jun-20	804.2	2,148.8
Jul-20	801.2	2,146.5
Aug-20	839.7	2,220.6
Sep-20	844.6	2,194.1
Oct-20	838	2,164.3
Nov-20	839.7	2,195.9
Dec-20	839.1	2,087.5
Jan-21	892.7	2,099.9
Feb-21	885.6	2,095.7
Mar-21	939.9	2,079.0
Apr-21	881.5	2,067.2
May-21	809.4	1,995.7
Jun-21	919.6	2,387.4
Jul-21	989.1	2,700.6
Aug-21	1,114.4	3,086.6
Sep-21	1,050.3	3,206.8
Oct-21	1,031.8	2,966.9
Nov-21	1,013.7	2,787.9
Dec-21	1,036	2,511.4
Jan-22	1,030.2	2,762.2
Feb-22	1,010.2	2,651.9
Mar-22	1,036	2,688.6
Apr-22	1,045.6	2,626.3
May-22	1,038.2	2,599.6
Jun-22	1,010.2	2,636.6
Jul-22	1,021.2	2,606.0

Online sales, Food and Non-Food, seasonally adjusted

["","Food","Non-Food"]

[["Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","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"],[[210.19999999999999],[211.09999999999999],[209.80000000000001],[218.69999999999999],[211.19999999999999],[212.09999999999999],[211.90000000000001],[222.09999999999999],[223.40000000000001],[231.40000000000001],[240.09999999999999],[243.30000000000001],[267.5],[260.19999999999999],[250.90000000000001],[270.5],[281.30000000000001],[296.30000000000001],[283.60000000000002],[281.89999999999998],[284.89999999999998],[296.30000000000001],[304.60000000000002],[324.10000000000002],[335],[347.89999999999998],[352.10000000000002],[360.39999999999998],[366.69999999999999],[374.80000000000001],[387.60000000000002],[382.10000000000002],[379.69999999999999],[379.60000000000002],[422.10000000000002],[421.80000000000001],[424.89999999999998],[426.30000000000001],[446],[440.60000000000002],[455.69999999999999],[456],[454.69999999999999],[455.60000000000002],[476.89999999999998],[503.30000000000001],[501.80000000000001],[495.30000000000001],[500.60000000000002],[531.39999999999998],[534.79999999999995],[579.5],[747.60000000000002],[804.20000000000005],[801.20000000000005],[839.70000000000005],[844.60000000000002],[838],[839.70000000000005],[839.10000000000002],[892.70000000000005],[885.60000000000002],[939.89999999999998],[881.5],[809.39999999999998],[919.60000000000002],[989.10000000000002],[1114.4000000000001],[1050.3],[1031.8],[1013.7],[1036],[1030.2],[1010.2],[1036],[1045.5999999999999],[1038.2],[1010.2],[1021.2]],[[636.10000000000002],[609.79999999999995],[623.60000000000002],[641.29999999999995],[651.10000000000002],[674.70000000000005],[668.60000000000002],[667.39999999999998],[705],[724.10000000000002],[715.70000000000005],[779.20000000000005],[709.39999999999998],[704.5],[712.39999999999998],[677.89999999999998],[734.79999999999995],[749.60000000000002],[810.70000000000005],[860.89999999999998],[858.79999999999995],[899.60000000000002],[950.20000000000005],[993.79999999999995],[995],[1065.4000000000001],[1074.7],[1109.2],[1131.9000000000001],[1171.7],[1119],[1104.4000000000001],[1126.7],[1178.2],[1206.7],[1169.8],[1208.5999999999999],[1214.0999999999999],[1206.3],[1250.5],[1249.5],[1258.5999999999999],[1273],[1276.7],[1273.2],[1262.5999999999999],[1327.7],[1416.2],[1330.2],[1400.8],[1657.7],[2228.9000000000001],[2213.3000000000002],[2148.8000000000002],[2146.5],[2220.5999999999999],[2194.0999999999999],[2164.3000000000002],[2195.9000000000001],[2087.5],[2099.9000000000001],[2095.6999999999998],[2079],[2067.1999999999998],[1995.7],[2387.4000000000001],[2700.5999999999999],[3086.5999999999999],[3206.8000000000002],[2966.9000000000001],[2787.9000000000001],[2511.4000000000001],[2762.1999999999998],[2651.9000000000001],[2688.5999999999999],[2626.3000000000002],[2599.5999999999999],[2636.5999999999999],[2606]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"$m","axis_units":"","tooltip_units":"(m)","table_units":"($m)","axis_min":"0","axis_max":"3500","tick_interval":"500","precision":"-1","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

In original terms, the proportion of online sales for Non-Food retailing to total retailing fell to 16.2 per cent, down from 16.3 per cent, while the proportion for Food retailing rose to 5.8 per cent, up from 5.6 per cent.

In original terms, the proportion of online sales to total retailing fell 0.1 per cent to 10.6 per cent in July 2022. The average monthly proportion of online sales to total retailing for 2022 is 10.6 per cent which is below the peak levels seen at the height of the Delta lockdown in August 2021 (15.0 per cent) and September 2021 (15.3 per cent), but is still significantly above the pre-Covid level peak in November 2019 of 7.2 per cent.

Proportion of industry group turnover online, original
	Food (%)	Non-Food (%)	Total (%)
Nov-19	3.1	11.7	7.2
Dec-19	2.8	10.3	6.6
Jan-20	2.8	10.3	6.3
Feb-20	3.4	10.9	6.6
Mar-20	3.1	13	7.1
Apr-20	4.1	20.5	11.1
May-20	5	16.1	10.1
Jun-20	4.9	15	9.7
Jul-20	5.2	15.2	9.8
Aug-20	5.8	17.6	11
Sep-20	5.7	16.8	10.6
Oct-20	5.3	16.6	10.4
Nov-20	5.2	16.8	11
Dec-20	4.5	13.6	9.1
Jan-21	5.2	13.9	9.1
Feb-21	5.4	14.2	9.3
Mar-21	5.6	14.1	9.4
Apr-21	5.1	14	9.2
May-21	4.9	14.2	9.1
Jun-21	5.4	16.3	10.5
Jul-21	6.4	20.4	12.6
Aug-21	7.4	25.1	15
Sep-21	7.2	25.5	15.3
Oct-21	6.4	21.2	13.2
Nov-21	5.9	18.7	12.5
Dec-21	5.4	15.4	10.5
Jan-22	5.8	17.5	11.1
Feb-22	5.7	16.1	10.4
Mar-22	5.9	16.7	10.9
Apr-22	5.5	15.4	10
May-22	5.6	16.1	10.5
Jun-22	5.6	16.3	10.7
Jul-22	5.8	16.2	10.6

Proportion of industry group turnover online, original

["","Food","Non-Food","Total"]

[["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"],[[3.1000000000000001],[2.7999999999999998],[2.7999999999999998],[3.3999999999999999],[3.1000000000000001],[4.0999999999999996],[5],[4.9000000000000004],[5.2000000000000002],[5.7999999999999998],[5.7000000000000002],[5.2999999999999998],[5.2000000000000002],[4.5],[5.2000000000000002],[5.4000000000000004],[5.5999999999999996],[5.0999999999999996],[4.9000000000000004],[5.4000000000000004],[6.4000000000000004],[7.4000000000000004],[7.2000000000000002],[6.4000000000000004],[5.9000000000000004],[5.4000000000000004],[5.7999999999999998],[5.7000000000000002],[5.9000000000000004],[5.5],[5.5999999999999996],[5.5999999999999996],[5.7999999999999998]],[[11.699999999999999],[10.300000000000001],[10.300000000000001],[10.9],[13],[20.5],[16.100000000000001],[15],[15.199999999999999],[17.600000000000001],[16.800000000000001],[16.600000000000001],[16.800000000000001],[13.6],[13.9],[14.199999999999999],[14.1],[14],[14.199999999999999],[16.300000000000001],[20.399999999999999],[25.100000000000001],[25.5],[21.199999999999999],[18.699999999999999],[15.4],[17.5],[16.100000000000001],[16.699999999999999],[15.4],[16.100000000000001],[16.300000000000001],[16.199999999999999]],[[7.2000000000000002],[6.5999999999999996],[6.2999999999999998],[6.5999999999999996],[7.0999999999999996],[11.1],[10.1],[9.6999999999999993],[9.8000000000000007],[11],[10.6],[10.4],[11],[9.0999999999999996],[9.0999999999999996],[9.3000000000000007],[9.4000000000000004],[9.1999999999999993],[9.0999999999999996],[10.5],[12.6],[15],[15.300000000000001],[13.199999999999999],[12.5],[10.5],[11.1],[10.4],[10.9],[10],[10.5],[10.699999999999999],[10.6]]]

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Additional notes regarding the online sales series can be found in the Methodology.

Data downloads

Tables 5 through to 23 have been made available on 5 September 2022. This includes June 2022 quarterly results for consumer sales of energy retailing and communications services. Tables 1 through to 4 remain unchanged from their release on 29 August 2022.

Download all (4.49 MB)

Time series spreadsheets

Data files

Table 1. Retail turnover, by industry group
Download xlsx [138.38 KB]
Table 2. Retail turnover, by industry group - percentage change from previous month
Download xlsx [117.51 KB]
Table 3. Retail turnover, by state
Download xlsx [169.33 KB]
Table 4. Retail turnover, by state - percentage change from previous month
Download xlsx [141.79 KB]
Table 5. Quarterly retail turnover percentage change, volume and price, seasonally adjusted - by industry group
Download xlsx [67.13 KB]
Table 6. Quarterly retail turnover percentage change, volume and price, seasonally adjusted - by state
Download xlsx [74.56 KB]
Table 7. Quarterly retail turnover, chain volume measures - by industry group
Download xlsx [79.85 KB]
Table 8. Quarterly retail turnover percentage change, chain volume measures - by industry group
Download xlsx [71.92 KB]
Table 9. Quarterly retail turnover, chain volume measures - by state
Download xlsx [90.86 KB]
Table 10. Quarterly retail turnover percentage change, chain volume measures - by state
Download xlsx [80.67 KB]
Table 11. Retail turnover, state by industry subgroup, original
Download xlsx [1.34 MB]
Table 12. Retail turnover, state by industry subgroup, seasonally adjusted
Download xlsx [905.96 KB]
Table 13. Retail turnover, state by industry subgroup, trend
Download xlsx [1.06 MB]
Table 14. Retail turnover; completely enumerated (large) and sample (small), by industry group
Download xlsx [84.73 KB]
Table 15. Retail turnover; completely enumerated (large) and sample (small), by state
Download xlsx [96.8 KB]
Table 16. Retail turnover, completely enumerated sector: Australia
Download xlsx [65.46 KB]
Table 17. Quarterly consumer sales, Australia, by type of activity
Download xlsx [46.06 KB]
Table 18. Quarterly consumer sales, Australia, by type of activity - percentage change from previous quarter
Download xlsx [48.28 KB]
Table 19. Quarterly retail turnover per capita, Australia, all series
Download xlsx [56.67 KB]
Table 20. Quarterly retail turnover per capita, Australia, all series - percentage change from previous quarter
Download xlsx [55.36 KB]
Table 21. Experimental series - online retail turnover Australia by type of activity
Download xlsx [56.97 KB]
Table 22. Experimental series - online retail turnover Australia by type of activity percentage change
Download xlsx [55.58 KB]
Table 23. Experimental series - online retail turnover Australia by type of activity percentage of total Australian retail turnover
Download xlsx [47.48 KB]

Data Explorer datasets

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Retail Trade, Key Statistics - Monthly retail trade estimates for Australian businesses classified by industry group, or by state and territory.

Retail Trade - Monthly and quarterly retail trade turnover estimates for Australian businesses classified by industry group, sub group, and by state and territory.

Survey impacts and changes

The release schedule for Retail Trade, Australia

Changes in this issue

Suspension of trend series

Coronavirus (COVID-19) in July

Differences between Retail Trade and New Experimental Economic Indicators

Monthly Business Turnover Indicator

The ABS first released the Monthly Business Turnover Indicator on Friday 15 October 2021. The first in a series of new monthly economic indicators which includes an indicator for Retail Trade.

This experimental indicator is derived from Australian Taxation Office (ATO) Business Activity Statements (BAS) turnover data from monthly BAS remitters. This differs from Retail Trade, Australia in terms of scope and coverage. Monthly BAS reporting for the Monthly Business Turnover Indicator covers businesses with GST annual turnover of $20 million or more and a proportion of smaller businesses that report monthly on a voluntary basis. The turnover estimates in Retail Trade, Australia are compiled from the monthly Retail Business Survey. About 700 'large' businesses are included in the survey every month, while a sample of about 2,700 'smaller' businesses is selected. The 'large' business' contribution of approximately 69% of the total estimate ensures a highly reliable Australian total turnover estimate.

Retail Trade for the Monthly Business Turnover Indicator is aligned strictly to the Australian and New Zealand Standard Industrial Classification (ANZSIC), 2006. This includes Fuel and motor vehicle retailing but excludes Cafes, restaurants and takeaways. Retail Trade, Australia does include Cafes, restaurants and takeaways, but does not include Fuel and motor vehicle retailing.

For further information see Monthly Business Turnover Indicator, Methodology.

Monthly Household Spending Indicator

The ABS first released the Monthly Household Spending Indicator on Tuesday 22 February 2022.

The experimental Monthly Household Spending Indicator is derived using aggregated, de-identified banks transactions data from some of Australia’s banking and financial institutions.

The ABS transforms the banks transactions data in order to derive the Monthly Household Spending Indicator. As this data is not designed for statistical purposes, its scope varies from Australian National Accounts concept of household final consumption expenditure (HFCE) and the Retail Trade turnover estimates for retail businesses.

The primary difference between the Retail Trade Survey and the household spending indicator is scope. The Retail Trade Survey focuses on measuring turnover, from sole traders and businesses across the Retail industry that predominantly sell to households. The Household spending indicator is recorded at the point of transaction on goods and services across all relevant industries, not just retail, to track a broader range of consumer spending.

For more information on how the Retail Trade Survey and new experimental monthly household spending indicator differ please see Comparison with Retail Trade and Monthly Household Spending Indicator, Methodology.

Previous catalogue number

This release previously used catalogue number 8501.0.

Inquiries

For inquiries about these and related statistics, contact the Customer Assistance Service via the ABS website Contact Us page. The ABS Privacy Policy outlines how the ABS will handle any personal information that you provide to us.

Post release changes

05/09/2022 - As advertised in the main release of this publication on 29 August 2022, the time series spreadsheets for tables 5 through to 23 are now available under the Data Downloads section. This includes:

July monthly results for State by Industry Subgroup, Completely Enumerated (large) and Sample (small) businesses, and Online Retail Turnover.
June quarter 2022 results, available in tables 5 through to 10. These results have been published previously.
June quarter 2022 results for consumer sales of energy retailing and communications services.

In addition, an online retailing section has been added to this publication, which shows the most-up-to-date online retail sales.

Methodology

Retail Trade, Australia methodology, July 2022

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Release	Timing	Tables	Content
Main Release (i.e. key statistics)	20 working days following the end of the reference period	1 - 4	Monthly National Turnover
			Monthly Industry Turnover
			Monthly State Turnover
Additional Tables	4 working days following the main release	5 - 23	Monthly State by Industry Turnover
			Monthly Sub-Group Turnover
			Monthly State by Sub-Group Turnover
			Quarterly Volumes and other quarterly statistics
			Online Sales

APA

Retail Trade, Australia

APA

Key statistics

Total retail turnover

Analysis by industry

Food retailing

Household goods retailing

Clothing, footwear and personal accessory retailing

Department stores

Other retailing

Cafes, restaurants and takeaway food services

Online retailing

Data downloads

Time series spreadsheets

Table 1. Retail turnover, by industry group

Table 2. Retail turnover, by industry group - percentage change from previous month

Table 3. Retail turnover, by state

Table 4. Retail turnover, by state - percentage change from previous month

Table 5. Quarterly retail turnover percentage change, volume and price, seasonally adjusted - by industry group

Table 6. Quarterly retail turnover percentage change, volume and price, seasonally adjusted - by state

Table 7. Quarterly retail turnover, chain volume measures - by industry group

Table 8. Quarterly retail turnover percentage change, chain volume measures - by industry group

Table 9. Quarterly retail turnover, chain volume measures - by state

Table 10. Quarterly retail turnover percentage change, chain volume measures - by state

Table 11. Retail turnover, state by industry subgroup, original

Table 12. Retail turnover, state by industry subgroup, seasonally adjusted

Table 13. Retail turnover, state by industry subgroup, trend

Table 14. Retail turnover; completely enumerated (large) and sample (small), by industry group

Table 15. Retail turnover; completely enumerated (large) and sample (small), by state

Table 16. Retail turnover, completely enumerated sector: Australia

Table 17. Quarterly consumer sales, Australia, by type of activity

Table 18. Quarterly consumer sales, Australia, by type of activity - percentage change from previous quarter

Table 19. Quarterly retail turnover per capita, Australia, all series

Table 20. Quarterly retail turnover per capita, Australia, all series - percentage change from previous quarter

Table 21. Experimental series - online retail turnover Australia by type of activity

Table 22. Experimental series - online retail turnover Australia by type of activity percentage change

Table 23. Experimental series - online retail turnover Australia by type of activity percentage of total Australian retail turnover