Retail Trade, Australia

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

Reference period

May 2022

Released

29/06/2022

View all releases

Key statistics

The May 2022 seasonally adjusted estimate:

Rose 0.9% month-on-month.
Rose 10.4% compared with May 2021.

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

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

Turnover at current prices
	May-2022 ($m)	Apr-2022 to May-2022 (% change)	May-2021 to May-2022 (% change)
Trend	na	na	na
Seasonally adjusted	34,229.2	0.9	10.4

na not available

Total retail turnover

Monthly turnover, current prices - seasonally adjusted estimate
Month	Monthly (%)	Through the year (%)
May-2019	0.2	2.5
Jun-2019	0.2	2.5
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	0.9	10.4

Monthly turnover, current prices - seasonally adjusted estimate

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

[["May-2019","Jun-2019","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"],[[0.20000000000000001],[0.20000000000000001],[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],[0.90000000000000002]],[[2.5],[2.5],[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],[10.4]]]

[]

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Total level, current prices - seasonally adjusted
Month	Seasonally adjusted ($m)	Trend ($m)
May-2019	27,310.2	27,334.9
Jun-2019	27,378.0	27,382.8
Jul-2019	27,428.6
Aug-2019	27,536.7
Sep-2019	27,620.4
Oct-2019	27,659.5
Nov-2019	27,891.4
Dec-2019	27,767.6
Jan-2020	27,657.7
Feb-2020	27,791.6
Mar-2020	30,030.8
Apr-2020	24,796.5
May-2020	28,835.2
Jun-2020	29,660.3
Jul-2020	30,753.0
Aug-2020	29,469.0
Sep-2020	29,228.9
Oct-2020	29,617.8
Nov-2020	31,555.8
Dec-2020	30,516.7
Jan-2021	30,569.9
Feb-2021	30,332.5
Mar-2021	30,725.9
Apr-2021	30,960.0
May-2021	31,007.7
Jun-2021	30,563.8
Jul-2021	29,761.4
Aug-2021	29,261.9
Sep-2021	29,756.7
Oct-2021	31,132.7
Nov-2021	33,345.0
Dec-2021	31,967.9
Jan-2022	32,492.0
Feb-2022	33,085.4
Mar-2022	33,626.1
Apr-2022	33,923.1
May-2022	34,229.2

Total level, current prices - seasonally adjusted

["Month","Seasonally adjusted","Trend"]

[["May-2019","Jun-2019","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"],[[27310.200000000001],[27378],[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],[34229.199999999997]],[[27334.900000000001],[27382.799999999999],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"$m","axis_units":"","tooltip_units":"(m)","table_units":"($m)","axis_min":"24000","axis_max":"36000","tick_interval":"2000","precision":"-1","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Monthly turnover, current prices, by industry - seasonally adjusted estimate
Industry	Seasonally adjusted (%)
Food retailing	0.6
Household goods retailing	0.4
Clothing, footwear and personal accessory retailing	-1.4
Department stores	5.1
Other retailing	1.5
Cafes, restaurants and takeaway food services	1.8
Total	0.9

Monthly turnover, current prices, by industry - seasonally adjusted estimate

["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"],[[0.59999999999999998],[0.40000000000000002],[-1.3999999999999999],[5.0999999999999996],[1.5],[1.8],[0.90000000000000002]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"-2","axis_max":"6","tick_interval":"2","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Monthly turnover, current prices, by state and territory - seasonally adjusted estimate
State	Seasonally adjusted (%)
New South Wales	1.6
Victoria	1.3
Queensland	-0.4
South Australia	1.9
Western Australia	0.2
Tasmania	1.1
Northern Territory	0.6
Australian Capital Territory	-0.3
Total	0.9

Monthly turnover, current prices, by state and territory - seasonally adjusted estimate

["State","Seasonally adjusted"]

[["New South Wales","Victoria","Queensland","South Australia","Western Australia","Tasmania","Northern Territory","Australian Capital Territory","Total"],[[1.6000000000000001],[1.3],[-0.40000000000000002],[1.8999999999999999],[0.20000000000000001],[1.1000000000000001],[0.59999999999999998],[-0.29999999999999999],[0.90000000000000002]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"-1","axis_max":"3","tick_interval":"1","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Analysis by industry

Food retailing

Food retailing rose 0.6% ($73.2m) in May, in seasonally adjusted terms.

Food retailing
Month	Seasonally adjusted ($m)	Trend ($m)
May-2019	11,214.3	11,221.7
Jun-2019	11,167.7	11,222.8
Jul-2019	11,234.8
Aug-2019	11,262.5
Sep-2019	11,322.4
Oct-2019	11,374.2
Nov-2019	11,441.4
Dec-2019	11,445.1
Jan-2020	11,444.6
Feb-2020	11,554.0
Mar-2020	14,342.6
Apr-2020	11,838.1
May-2020	12,635.1
Jun-2020	12,721.4
Jul-2020	12,901.2
Aug-2020	12,878.1
Sep-2020	12,737.9
Oct-2020	12,729.5
Nov-2020	12,707.3
Dec-2020	12,581.2
Jan-2021	12,669.1
Feb-2021	12,350.5
Mar-2021	12,297.0
Apr-2021	12,373.2
May-2021	12,487.4
Jun-2021	12,655.1
Jul-2021	12,910.9
Aug-2021	13,224.5
Sep-2021	13,075.4
Oct-2021	12,981.5
Nov-2021	12,683.6
Dec-2021	12,944.2
Jan-2022	13,221.4
Feb-2022	12,881.2
Mar-2022	12,939.6
Apr-2022	13,182.7
May-2022	13,255.9

Food retailing

["Month","Seasonally adjusted","Trend"]

[["May-2019","Jun-2019","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"],[[11214.299999999999],[11167.700000000001],[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],[13255.9]],[[11221.700000000001],[11222.799999999999],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null]]]

[]

[{"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":"$m","axis_units":"","tooltip_units":"(m)","table_units":"($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 rose 0.4% ($22.7m) in May, in seasonally adjusted terms.

Household goods retailing
Month	Seasonally adjusted ($m)	Trend ($m)
May-2019	4,567.5	4,566.9
Jun-2019	4,585.8	4,580.6
Jul-2019	4,603.3
Aug-2019	4,621.6
Sep-2019	4,627.7
Oct-2019	4,637.5
Nov-2019	4,684.5
Dec-2019	4,663.6
Jan-2020	4,615.7
Feb-2020	4,635.7
Mar-2020	5,022.2
Apr-2020	5,056.7
May-2020	5,863.4
Jun-2020	5,704.7
Jul-2020	5,980.5
Aug-2020	5,587.3
Sep-2020	5,381.6
Oct-2020	5,359.6
Nov-2020	5,988.5
Dec-2020	5,514.0
Jan-2021	5,506.4
Feb-2021	5,535.2
Mar-2021	5,544.4
Apr-2021	5,605.9
May-2021	5,551.9
Jun-2021	5,514.1
Jul-2021	5,392.5
Aug-2021	5,257.4
Sep-2021	5,487.7
Oct-2021	5,702.2
Nov-2021	6,401.3
Dec-2021	5,792.8
Jan-2022	5,846.5
Feb-2022	5,983.3
Mar-2022	6,188.2
Apr-2022	6,023.3
May-2022	6,046.0

Household goods retailing

["Month","Seasonally adjusted","Trend"]

[["May-2019","Jun-2019","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"],[[4567.5],[4585.8000000000002],[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]],[[4566.8999999999996],[4580.6000000000004],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null]]]

[]

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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 fell 1.4% (-$41.8m) in May, in seasonally adjusted terms.

Clothing, footwear and personal accessory retailing
Month	Seasonally adjusted ($m)	Trend ($m)
May-2019	2,136.5	2,151.9
Jun-2019	2,176.3	2,159.0
Jul-2019	2,158.3
Aug-2019	2,192.0
Sep-2019	2,182.4
Oct-2019	2,175.2
Nov-2019	2,228.0
Dec-2019	2,186.1
Jan-2020	2,185.0
Feb-2020	2,102.8
Mar-2020	1,602.0
Apr-2020	753.5
May-2020	1,725.2
Jun-2020	2,073.6
Jul-2020	2,247.6
Aug-2020	1,975.9
Sep-2020	1,976.7
Oct-2020	2,114.0
Nov-2020	2,604.2
Dec-2020	2,410.1
Jan-2021	2,372.0
Feb-2021	2,385.8
Mar-2021	2,470.8
Apr-2021	2,539.2
May-2021	2,506.3
Jun-2021	2,297.7
Jul-2021	1,969.1
Aug-2021	1,627.1
Sep-2021	1,757.0
Oct-2021	2,241.0
Nov-2021	3,016.1
Dec-2021	2,557.0
Jan-2022	2,527.3
Feb-2022	2,809.9
Mar-2022	2,824.2
Apr-2022	2,912.8
May-2022	2,871.0

Clothing, footwear and personal accessory retailing

["Month","Seasonally adjusted","Trend"]

[["May-2019","Jun-2019","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"],[[2136.5],[2176.3000000000002],[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]],[[2151.9000000000001],[2159],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null]]]

[]

[{"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":"$m","axis_units":"","tooltip_units":"(m)","table_units":"($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 5.1% ($90.9m) in May, in seasonally adjusted terms.

Department stores
Month	Seasonally adjusted ($m)	Trend ($m)
May-2019	1,572.0	1,561.8
Jun-2019	1,561.7	1,564.3
Jul-2019	1,552.8
Aug-2019	1,577.9
Sep-2019	1,578.9
Oct-2019	1,570.8
Nov-2019	1,617.7
Dec-2019	1,585.2
Jan-2020	1,532.2
Feb-2020	1,582.2
Mar-2020	1,444.4
Apr-2020	1,228.0
May-2020	1,764.6
Jun-2020	1,564.2
Jul-2020	1,618.9
Aug-2020	1,475.7
Sep-2020	1,500.7
Oct-2020	1,569.3
Nov-2020	1,864.6
Dec-2020	1,678.5
Jan-2021	1,649.4
Feb-2021	1,673.1
Mar-2021	1,804.0
Apr-2021	1,691.2
May-2021	1,671.9
Jun-2021	1,563.9
Jul-2021	1,381.2
Aug-2021	1,245.8
Sep-2021	1,248.1
Oct-2021	1,521.1
Nov-2021	1,892.1
Dec-2021	1,528.3
Jan-2022	1,580.6
Feb-2022	1,756.5
Mar-2022	1,828.2
Apr-2022	1,782.5
May-2022	1,873.4

Department stores

["Month","Seasonally adjusted","Trend"]

[["May-2019","Jun-2019","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"],[[1572],[1561.7],[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],[1873.4000000000001]],[[1561.8],[1564.3],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null]]]

[]

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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 1.5% ($78.5m) in May, in seasonally adjusted terms.

Other retailing
Month	Seasonally adjusted ($m)	Trend ($m)
May-2019	3,937.1	3,936.6
Jun-2019	3,973.8	3,961.1
Jul-2019	3,971.5
Aug-2019	3,992.3
Sep-2019	4,004.5
Oct-2019	3,993.7
Nov-2019	3,965.6
Dec-2019	3,971.6
Jan-2020	3,955.4
Feb-2020	3,971.1
Mar-2020	4,602.4
Apr-2020	3,966.7
May-2020	4,311.7
Jun-2020	4,340.8
Jul-2020	4,575.5
Aug-2020	4,330.5
Sep-2020	4,299.6
Oct-2020	4,364.6
Nov-2020	4,692.3
Dec-2020	4,503.1
Jan-2021	4,546.9
Feb-2021	4,534.8
Mar-2021	4,584.1
Apr-2021	4,648.8
May-2021	4,670.7
Jun-2021	4,642.1
Jul-2021	4,680.2
Aug-2021	4,716.3
Sep-2021	4,825.1
Oct-2021	4,910.7
Nov-2021	5,246.7
Dec-2021	5,053.3
Jan-2022	5,246.2
Feb-2022	5,189.0
Mar-2022	5,290.5
Apr-2022	5,317.8
May-2022	5,396.3

Other retailing

["Month","Seasonally adjusted","Trend"]

[["May-2019","Jun-2019","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"],[[3937.0999999999999],[3973.8000000000002],[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],[5396.3000000000002]],[[3936.5999999999999],[3961.0999999999999],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null]]]

[]

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[{"value":"0","axis_id":"0","axis_title":"$m","axis_units":"","tooltip_units":"(m)","table_units":"($m)","axis_min":"3500","axis_max":"5500","tick_interval":"500","precision":"-1","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Cafes, restaurants and takeaway food services

Cafes, restaurants and takeaway food services rose 1.8% ($82.6m) in May, in seasonally adjusted terms.

Cafes, restaurants and takeaway food services
Month	Seasonally adjusted ($m)	Trend ($m)
May-2019	3,882.9	3,898.1
Jun-2019	3,912.7	3,896.6
Jul-2019	3,907.8
Aug-2019	3,890.4
Sep-2019	3,904.4
Oct-2019	3,908.1
Nov-2019	3,954.3
Dec-2019	3,916.0
Jan-2020	3,924.9
Feb-2020	3,945.8
Mar-2020	3,017.2
Apr-2020	1,953.5
May-2020	2,535.2
Jun-2020	3,255.6
Jul-2020	3,429.3
Aug-2020	3,221.4
Sep-2020	3,332.5
Oct-2020	3,480.7
Nov-2020	3,698.8
Dec-2020	3,829.9
Jan-2021	3,826.1
Feb-2021	3,853.2
Mar-2021	4,025.6
Apr-2021	4,101.7
May-2021	4,119.5
Jun-2021	3,891.0
Jul-2021	3,427.4
Aug-2021	3,190.8
Sep-2021	3,363.3
Oct-2021	3,776.1
Nov-2021	4,105.2
Dec-2021	4,092.2
Jan-2022	4,069.9
Feb-2022	4,465.5
Mar-2022	4,555.5
Apr-2022	4,704.0
May-2022	4,786.6

Cafes, restaurants and takeaway food services

["Month","Seasonally adjusted","Trend"]

[["May-2019","Jun-2019","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"],[[3882.9000000000001],[3912.6999999999998],[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],[4786.6000000000004]],[[3898.0999999999999],[3896.5999999999999],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null],[null]]]

[]

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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":"5000","tick_interval":"500","precision":"-1","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Online retailing

Total online retailing sales were $3,655.6m in May 2022, in seasonally adjusted terms. Seasonally adjusted online sales fell 0.6% (-$21.8m), following a 1.3% (-$47.7m) fall in April 2022 as spending continues to shift back to brick and mortar stores. This is the fifth monthly fall since lockdowns ended in October 2021. Whilst down on the Delta outbreak peak, total online retailing sales remain elevated, up 30.2% ($847.8m) through-the-year, in seasonally adjusted terms.

Total online, original and seasonally adjusted
	Original	Seasonally adjusted
Nov-15	892.7	777
Dec-15	998.9	800.7
Jan-16	780.6	847.2
Feb-16	732.2	820.7
Mar-16	810.6	833.2
Apr-16	771.4	860.3
May-16	840.4	862.1
Jun-16	904.1	886.9
Jul-16	827.3	881
Aug-16	871.8	888.9
Sep-16	923.8	928.1
Oct-16	986	955.6
Nov-16	1,108.8	955.6
Dec-16	1,265.1	1,022.5
Jan-17	903	977.4
Feb-17	825.4	964.9
Mar-17	939.1	962.8
Apr-17	862	949.2
May-17	1,000.7	1,015.9
Jun-17	1,039.3	1,046
Jul-17	1,048.2	1,094
Aug-17	1,133.8	1,142
Sep-17	1,109.3	1,143.7
Oct-17	1,234.8	1,195.9
Nov-17	1,510.6	1,254.2
Dec-17	1,601.8	1,319.4
Jan-18	1,229.4	1,330.5
Feb-18	1,201.2	1,413.7
Mar-18	1,360.6	1,423.9
Apr-18	1,351.9	1,471.1
May-18	1,483.5	1,498.2
Jun-18	1,484	1,546.3
Jul-18	1,447.6	1,506.5
Aug-18	1,499	1,486.7
Sep-18	1,485.4	1,506.2
Oct-18	1,621.5	1,557.3
Nov-18	1,929.6	1,628.1
Dec-18	1,950.6	1,592.4
Jan-19	1,520.1	1,634.4
Feb-19	1,388	1,641.3
Mar-19	1,560.7	1,652.4
Apr-19	1,513.8	1,690.6
May-19	1,693.1	1,707
Jun-19	1,659.1	1,713.3
Jul-19	1,680.5	1,728.4
Aug-19	1,737.6	1,729.1
Sep-19	1,758.3	1,748.5
Oct-19	1,867.2	1,765
Nov-19	2,118.4	1,828.9
Dec-19	2,306.7	1,913.6
Jan-20	1,712.5	1,833.3
Feb-20	1,675.8	1,931.5
Mar-20	2,069	2,190.3
Apr-20	2,615.4	2,814.5
May-20	2,859.1	2,965.5
Jun-20	2,766.6	2,935.1
Jul-20	2,950.5	2,956.2
Aug-20	3,135.7	3,057.3
Sep-20	3,010	3,037.6
Oct-20	3,157.6	2,995
Nov-20	3,632.1	3,038.2
Dec-20	3,548.7	2,930.9
Jan-21	2,740.4	2,997.7
Feb-21	2,496.6	2,985
Mar-21	2,856.7	3,016.8
Apr-21	2,677.1	2,955.4
May-21	2,759.4	2,807.8
Jun-21	3,092.7	3,284.5
Jul-21	3,659	3,696.8
Aug-21	4,254.9	4,201.9
Sep-21	4,409.5	4,253.5
Oct-21	4,178.8	4,000.5
Nov-21	4,403.8	3,796.7
Dec-21	4,305.1	3,555.1
Jan-22	3,541.3	3,795.4
Feb-22	3,048.2	3,668.1
Mar-22	3,580.7	3,725.1
Apr-22	3,246.9	3,677.4
May-22	3,510.2	3,655.6

Total online, original and seasonally adjusted

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

[["Nov-15","Dec-15","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"],[[892.70000000000005],[998.89999999999998],[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],[3510.1999999999998]],[[777],[800.70000000000005],[847.20000000000005],[820.70000000000005],[833.20000000000005],[860.29999999999995],[862.10000000000002],[886.89999999999998],[881],[888.89999999999998],[928.10000000000002],[955.60000000000002],[955.60000000000002],[1022.5],[977.39999999999998],[964.89999999999998],[962.79999999999995],[949.20000000000005],[1015.9],[1046],[1094],[1142],[1143.7],[1195.9000000000001],[1254.2],[1319.4000000000001],[1330.5],[1413.7],[1423.9000000000001],[1471.0999999999999],[1498.2],[1546.3],[1506.5],[1486.7],[1506.2],[1557.3],[1628.0999999999999],[1592.4000000000001],[1634.4000000000001],[1641.3],[1652.4000000000001],[1690.5999999999999],[1707],[1713.3],[1728.4000000000001],[1729.0999999999999],[1748.5],[1765],[1828.9000000000001],[1913.5999999999999],[1833.3],[1931.5],[2190.3000000000002],[2814.5],[2965.5],[2935.0999999999999],[2956.1999999999998],[3057.3000000000002],[3037.5999999999999],[2995],[3038.1999999999998],[2930.9000000000001],[2997.6999999999998],[2985],[3016.8000000000002],[2955.4000000000001],[2807.8000000000002],[3284.5],[3696.8000000000002],[4201.8999999999996],[4253.5],[4000.5],[3796.6999999999998],[3555.0999999999999],[3795.4000000000001],[3668.0999999999999],[3725.0999999999999],[3677.4000000000001],[3655.5999999999999]]]

[]

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[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":"","table_units":"","tooltip_units":"","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

In May 2022, Food online sales were $1,062.7m, and Non-Food online sales were $2,592.9m, in seasonally adjusted terms. Both online sales categories contributed to the fall with non-food sales down 0.8% (-$20.7m) and food sales down 0.1 per cent (-$1.1m).

Online sales, Food and Non-Food, seasonally adjusted
	Food	Non-Food
Nov-15	211.7	565.3
Dec-15	219.3	581.4
Jan-16	210.4	636.8
Feb-16	211.3	609.4
Mar-16	209.8	623.4
Apr-16	219.2	641.2
May-16	211.2	650.9
Jun-16	212	674.9
Jul-16	212	669
Aug-16	222.2	666.7
Sep-16	223	705.1
Oct-16	231.4	724.2
Nov-16	239.8	715.8
Dec-16	243.1	779.3
Jan-17	267.7	709.7
Feb-17	260.4	704.5
Mar-17	251	711.8
Apr-17	271.2	678
May-17	281.6	734.4
Jun-17	296	750
Jul-17	283.6	810.4
Aug-17	281.7	860.3
Sep-17	284.8	858.9
Oct-17	295.7	900.2
Nov-17	303.7	950.4
Dec-17	324.3	995.2
Jan-18	335.5	995
Feb-18	348.4	1,065.3
Mar-18	352.6	1,071.3
Apr-18	361.3	1,109.8
May-18	367.3	1,130.9
Jun-18	374.1	1,172.2
Jul-18	387.5	1,119
Aug-18	381.7	1,105
Sep-18	379.1	1,127
Oct-18	378.5	1,178.8
Nov-18	420.7	1,207.4
Dec-18	421.8	1,170.5
Jan-19	425.7	1,208.6
Feb-19	427.4	1,213.9
Mar-19	448.3	1,204.1
Apr-19	443	1,247.6
May-19	457.8	1,249.2
Jun-19	453.1	1,260.3
Jul-19	453.7	1,274.7
Aug-19	454.5	1,274.6
Sep-19	474.9	1,273.7
Oct-19	501.4	1,263.6
Nov-19	500.9	1,328
Dec-19	496	1,417.6
Jan-20	501	1,332.3
Feb-20	534.1	1,397.4
Mar-20	537.9	1,652.3
Apr-20	583.2	2,231.4
May-20	757.4	2,208.2
Jun-20	792.3	2,142.7
Jul-20	796.6	2,159.7
Aug-20	837.3	2,219.9
Sep-20	843.8	2,193.9
Oct-20	832.9	2,162
Nov-20	836.1	2,202.1
Dec-20	839.8	2,091.1
Jan-21	897.1	2,100.6
Feb-21	889.8	2,095.2
Mar-21	948.6	2,068.2
Apr-21	888.6	2,066.8
May-21	821.9	1,985.8
Jun-21	903.8	2,380.7
Jul-21	981.6	2,715.3
Aug-21	1,110.6	3,091.3
Sep-21	1,042.5	3,211
Oct-21	1,029.1	2,971.4
Nov-21	1,011.8	2,784.9
Dec-21	1,035.1	2,520
Jan-22	1,032.8	2,762.6
Feb-22	1,015.7	2,652.4
Mar-22	1,044.8	2,680.3
Apr-22	1,063.8	2,613.6
May-22	1,062.7	2,592.9

Online sales, Food and Non-Food, seasonally adjusted

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

[["Nov-15","Dec-15","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"],[[211.69999999999999],[219.30000000000001],[210.40000000000001],[211.30000000000001],[209.80000000000001],[219.19999999999999],[211.19999999999999],[212],[212],[222.19999999999999],[223],[231.40000000000001],[239.80000000000001],[243.09999999999999],[267.69999999999999],[260.39999999999998],[251],[271.19999999999999],[281.60000000000002],[296],[283.60000000000002],[281.69999999999999],[284.80000000000001],[295.69999999999999],[303.69999999999999],[324.30000000000001],[335.5],[348.39999999999998],[352.60000000000002],[361.30000000000001],[367.30000000000001],[374.10000000000002],[387.5],[381.69999999999999],[379.10000000000002],[378.5],[420.69999999999999],[421.80000000000001],[425.69999999999999],[427.39999999999998],[448.30000000000001],[443],[457.80000000000001],[453.10000000000002],[453.69999999999999],[454.5],[474.89999999999998],[501.39999999999998],[500.89999999999998],[496],[501],[534.10000000000002],[537.89999999999998],[583.20000000000005],[757.39999999999998],[792.29999999999995],[796.60000000000002],[837.29999999999995],[843.79999999999995],[832.89999999999998],[836.10000000000002],[839.79999999999995],[897.10000000000002],[889.79999999999995],[948.60000000000002],[888.60000000000002],[821.89999999999998],[903.79999999999995],[981.60000000000002],[1110.5999999999999],[1042.5],[1029.0999999999999],[1011.8],[1035.0999999999999],[1032.8],[1015.7],[1044.8],[1063.8],[1062.7]],[[565.29999999999995],[581.39999999999998],[636.79999999999995],[609.39999999999998],[623.39999999999998],[641.20000000000005],[650.89999999999998],[674.89999999999998],[669],[666.70000000000005],[705.10000000000002],[724.20000000000005],[715.79999999999995],[779.29999999999995],[709.70000000000005],[704.5],[711.79999999999995],[678],[734.39999999999998],[750],[810.39999999999998],[860.29999999999995],[858.89999999999998],[900.20000000000005],[950.39999999999998],[995.20000000000005],[995],[1065.3],[1071.3],[1109.8],[1130.9000000000001],[1172.2],[1119],[1105],[1127],[1178.8],[1207.4000000000001],[1170.5],[1208.5999999999999],[1213.9000000000001],[1204.0999999999999],[1247.5999999999999],[1249.2],[1260.3],[1274.7],[1274.5999999999999],[1273.7],[1263.5999999999999],[1328],[1417.5999999999999],[1332.3],[1397.4000000000001],[1652.3],[2231.4000000000001],[2208.1999999999998],[2142.6999999999998],[2159.6999999999998],[2219.9000000000001],[2193.9000000000001],[2162],[2202.0999999999999],[2091.0999999999999],[2100.5999999999999],[2095.1999999999998],[2068.1999999999998],[2066.8000000000002],[1985.8],[2380.6999999999998],[2715.3000000000002],[3091.3000000000002],[3211],[2971.4000000000001],[2784.9000000000001],[2520],[2762.5999999999999],[2652.4000000000001],[2680.3000000000002],[2613.5999999999999],[2592.9000000000001]]]

[]

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[{"axis_id":"0","tick_interval":"","axis_min":"","axis_max":"","axis_title":"","precision":"","table_units":"","tooltip_units":"","axis_units":"","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

In original terms there were rises in the proportion of online sales for both Food and non-Food retailing to total retailing. The proportion of online Food sales rose to 5.6% in May 2022 from 5.5% in April 2022, while the proportion of online Non-Food sales rose to 16.1% in May 2022 from 15.4% in April 2022.

In original terms, the proportion of online sales to total retailing rose 0.5% to 10.5% in May 2022.

Proportion of industry group turnover online, original
	Food	Non-Food	Total
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

Proportion of industry group turnover online, original

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

[["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"],[[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]],[[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]],[[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]]]

[]

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

Data downloads

Table 5 through to 23 have been made available on 5 July 2022. Tables 1 through to 4 remain unchanged from their release on 29 June 2022.

Download all (4.47 MB)

Time series spreadsheets

Data files

Table 1. Retail turnover, by industry group
Download xlsx [137.51 KB]
Table 2. Retail turnover, by industry group - percentage change from previous month
Download xlsx [116.86 KB]
Table 3. Retail turnover, by state
Download xlsx [168.74 KB]
Table 4. Retail turnover, by state - percentage change from previous month
Download xlsx [140.85 KB]
Table 5. Quarterly retail turnover percentage change, volume and price, seasonally adjusted - by industry group
Download xlsx [67 KB]
Table 6. Quarterly retail turnover percentage change, volume and price, seasonally adjusted - by state
Download xlsx [74.41 KB]
Table 7. Quarterly retail turnover, chain volume measures - by industry group
Download xlsx [79.54 KB]
Table 8. Quarterly retail turnover percentage change, chain volume measures - by industry group
Download xlsx [71.44 KB]
Table 9. Quarterly retail turnover, chain volume measures - by state
Download xlsx [90.46 KB]
Table 10. Quarterly retail turnover percentage change, chain volume measures - by state
Download xlsx [80.26 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 [902.54 KB]
Table 13. Retail turnover, state by industry subgroup, trend
Download xlsx [1.05 MB]
Table 14. Retail turnover; completely enumerated (large) and sample (small), by industry group
Download xlsx [84.52 KB]
Table 15. Retail turnover; completely enumerated (large) and sample (small), by state
Download xlsx [96.49 KB]
Table 16. Retail turnover, completely enumerated sector: Australia
Download xlsx [65.34 KB]
Table 17. Quarterly consumer sales, Australia, by type of activity
Download xlsx [48.71 KB]
Table 18. Quarterly consumer sales, Australia, by type of activity - percentage change from previous quarter
Download xlsx [48.57 KB]
Table 19. Quarterly retail turnover per capita, Australia, all series
Download xlsx [57.2 KB]
Table 20. Quarterly retail turnover per capita, Australia, all series - percentage change from previous quarter
Download xlsx [55.11 KB]
Table 21. Experimental series - online retail turnover Australia by type of activity
Download xlsx [56.69 KB]
Table 22. Experimental series - online retail turnover Australia by type of activity percentage change
Download xlsx [55.25 KB]
Table 23. Experimental series - online retail turnover Australia by type of activity percentage of total Australian retail turnover
Download xlsx [47.42 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 revised release schedule for Retail Trade, Australia

Changes in this issue

Suspension of trend series

Coronavirus (COVID-19) in May

The World Health Organisation identified COVID-19 as an international health emergency on 30 January 2020.

In March 2020, nationwide regulations were introduced to encourage physical distancing which impacted the ability of businesses to trade as normal. Movement across state borders were also restricted.

Following May 2020, regulations have been implemented on a local basis in response to increased case numbers.

In March 2021, the Greater Brisbane region in Queensland saw restrictions reintroduced on 29 March. The restrictions were extended until the end of the month and ended on 1 April.

In April 2021, Perth and some regional areas of Western Australia had restrictions in place from 24 April through to 26 April.

In May 2021, Victoria was under lockdown restrictions from 28 May. These remained in place until June.

In June 2021, the Delta variant began to emerge which saw various states and territories introduce lockdown measures which were initially intended to be a temporary measure to contain the outbreak.

In July 2021, the Greater Sydney, the Blue Mountains, the Central Coast and Wollongong regions in New South Wales remained under stay-at-home orders for the entire month, while Victoria re-introduced lockdowns mid-month which were in place until 27 July. Other states and territories were able to avoid extended lockdowns with Queensland, South Australia, Western Australia and the Northern Territory only experiencing snap lockdowns with varying duration and timing which ended within the month.

In August 2021, the Greater Sydney, Blue Mountains, Central Coast and Wollongong regions in New South Wales remained under stay-at-home orders with various regional cities and townships placed into lockdowns. Victoria reintroduced lockdown measures in Melbourne on 5 August which remained in effect for the remainder of the month, with Regional Victoria also in lockdown at different stages. The Australian Capital Territory introduced lockdown measures on 12 August which extended to the of the month. Queensland and the Northern Territory both experienced snap lockdowns which ended within the month.

In September 2021, the Greater Sydney, Blue Mountains, Central Coast and Wollongong regions in New South Wales remained under stay-at-home orders for the entire month with several regional areas in and out of lockdowns as the month progressed. Victoria’s Melbourne metropolitan region remained under stay-at-home orders for the entire month with regional areas in and out of lockdowns as the month progressed. The Australian Capital Territory stay-at-home orders were in place for the entire month.

In October 2021, lockdown measures began to ease with stay-at-home orders ending in New South Wales on 11 October, the Australian Capital Territory on 14 October and Victoria on 21 October. Each state and territory had various restrictions attached to the end of stay-at-home orders which included a range of mask mandates, density limits and conditions based on vaccination status. Tasmania experienced a snap 3-day lockdown in the southern part of the state, including Hobart.

In November 2021 and December 2021 each state and territory saw a wide range of restriction measures introduced or eased depending on the circumstances of each state or territory. The Northern Territory was the only state or territory to introduce lockdown measures

For a detailed breakdown of restrictions throughout 2021, please refer to Coronavirus (COVID-19) in December in Survey impacts and changes section of the December 2021 release.

For a detailed breakdown of restrictions in January 2022, please refer to Coronavirus (COVID-19) in January in Survey impacts and changes section of the January 2022 release.

For a detailed breakdown of restrictions in February 2022, please refer to Coronavirus (COVID-19) in February in Survey impacts and changes section of the February 2022 release.

For a detailed breakdown of restrictions in March 2022, please refer to Coronavirus (COVID-19) in March in Survey impacts and changes section of the March 2022 release.

For a detailed breakdown of restrictions in April 2022, please refer to Coronavirus (COVID-19) in April in Survey impacts and changes section of the April 2022 release.

In May 2022, changes to existing COVID-19 safety measures across the states and territories included:

Tasmania - from Monday May 2, close contacts no longer required to isolate for seven days but must take daily rapid antigen tests for seven days, wear a mask indoors, tell their workplace and avoid high-risk premises. From midnight Friday 20 May, all density and capacity limits lifted for all settings. Face masks are still mandatory in high-risk settings and encouraged in others.

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.

Post release changes

05/07/2022 - As advertised in the main release of this publication on 29 June 2022, the time series spreadsheets for tables 5 through to 23 are now available under the Data Downloads section. This includes:

May monthly results for State by Industry Subgroup, Completely Enumerated (large) and Sample (small) businesses, and Online Retail Turnover.
March quarter 2022 results, available in Tables 5 through to 10. These results have been published previously.

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

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.

Methodology

Retail Trade, Australia methodology, May 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