The ABS will be closed from 12.00pm, 24 December 2024 and will reopen at 9.00am, 2 January 2025. During this time there will be no statistical releases and our support functions will be unavailable. The ABS wishes you a safe and happy Christmas.

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 2023

Released

28/08/2023

View all releases

Key statistics

The July 2023 seasonally adjusted estimate:

Rose 0.5% month-on-month.
Rose 2.1% compared with July 2022.

An additional information release on 1 September 2023 has seen the inclusion of more detailed results for the July 2023 reference period. Additional timeseries spreadsheets have been published, including; state by industry results, state by industry sub-group results, previously published June quarter 2023 quarterly turnover volumes, and online sales.

To understand more about changes in this issue, reinstating trend estimates, and COVID-19, please read the survey impacts and changes section below.

Turnover at current prices
	Jul-2023 ($m)	Jun-2023 to Jul-2023 (% change)	Jul-2022 to Jul-2023 (% change)
Trend	35,368.4	0.0	1.9
Seasonally adjusted	35,383.3	0.5	2.1

Total retail turnover

Monthly turnover, current prices - seasonally adjusted estimate
Month	Monthly (%)	Through the year (%)
Jul-2019	0.1	2.5
Aug-2019	0.5	2.4
Sep-2019	0.4	2.7
Oct-2019	0.2	2.4
Nov-2019	0.5	3.1
Dec-2019	-0.4	2.4
Jan-2020	-0.2	2.1
Feb-2020	0.3	1.9
Mar-2020	7.8	9.8
Apr-2020	-17.2	-8.9
May-2020	16.1	5.4
Jun-2020	3.1	8.4
Jul-2020	3.7	12.2
Aug-2020	-4.0	7.1
Sep-2020	-1.1	5.5
Oct-2020	1.9	7.3
Nov-2020	6.1	13.3
Dec-2020	-3.3	10.0
Jan-2021	0.2	10.4
Feb-2021	-1.0	9.1
Mar-2021	1.0	2.2
Apr-2021	1.0	24.6
May-2021	0.4	7.8
Jun-2021	-1.4	3.0
Jul-2021	-2.5	-3.2
Aug-2021	-1.7	-0.9
Sep-2021	2.0	2.2
Oct-2021	4.7	5.0
Nov-2021	6.6	5.4
Dec-2021	-3.8	4.9
Jan-2022	1.8	6.7
Feb-2022	1.2	9.0
Mar-2022	1.3	9.3
Apr-2022	1.0	9.3
May-2022	0.9	9.9
Jun-2022	1.0	12.6
Jul-2022	0.7	16.3
Aug-2022	0.7	19.2
Sep-2022	0.7	17.8
Oct-2022	0.3	12.8
Nov-2022	1.6	7.6
Dec-2022	-3.9	7.5
Jan-2023	1.8	7.5
Feb-2023	0.1	6.4
Mar-2023	0.3	5.3
Apr-2023	-0.1	4.2
May-2023	0.8	4.1
Jun-2023	-0.8	2.3
Jul-2023	0.5	2.1

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","Aug-2022","Sep-2022","Oct-2022","Nov-2022","Dec-2022","Jan-2023","Feb-2023","Mar-2023","Apr-2023","May-2023","Jun-2023","Jul-2023"],[[0.10000000000000001],[0.5],[0.40000000000000002],[0.20000000000000001],[0.5],[-0.40000000000000002],[-0.20000000000000001],[0.29999999999999999],[7.7999999999999998],[-17.199999999999999],[16.100000000000001],[3.1000000000000001],[3.7000000000000002],[-4],[-1.1000000000000001],[1.8999999999999999],[6.0999999999999996],[-3.2999999999999998],[0.20000000000000001],[-1],[1],[1],[0.40000000000000002],[-1.3999999999999999],[-2.5],[-1.7],[2],[4.7000000000000002],[6.5999999999999996],[-3.7999999999999998],[1.8],[1.2],[1.3],[1],[0.90000000000000002],[1],[0.69999999999999996],[0.69999999999999996],[0.69999999999999996],[0.29999999999999999],[1.6000000000000001],[-3.8999999999999999],[1.8],[0.10000000000000001],[0.29999999999999999],[-0.10000000000000001],[0.80000000000000004],[-0.80000000000000004],[0.5]],[[2.5],[2.3999999999999999],[2.7000000000000002],[2.3999999999999999],[3.1000000000000001],[2.3999999999999999],[2.1000000000000001],[1.8999999999999999],[9.8000000000000007],[-8.9000000000000004],[5.4000000000000004],[8.4000000000000004],[12.199999999999999],[7.0999999999999996],[5.5],[7.2999999999999998],[13.300000000000001],[10],[10.4],[9.0999999999999996],[2.2000000000000002],[24.600000000000001],[7.7999999999999998],[3],[-3.2000000000000002],[-0.90000000000000002],[2.2000000000000002],[5],[5.4000000000000004],[4.9000000000000004],[6.7000000000000002],[9],[9.3000000000000007],[9.3000000000000007],[9.9000000000000004],[12.6],[16.300000000000001],[19.199999999999999],[17.800000000000001],[12.800000000000001],[7.5999999999999996],[7.5],[7.5],[6.4000000000000004],[5.2999999999999998],[4.2000000000000002],[4.0999999999999996],[2.2999999999999998],[2.1000000000000001]]]

[]

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

[{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"-20","axis_max":"25","tick_interval":"5","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Total retail turnover - level, current prices
Month	Seasonally adjusted ($m)	Trend ($m)
Jul-2019	27,420.0	27,468.6
Aug-2019	27,568.7	27,568.3
Sep-2019	27,678.5	27,656.7
Oct-2019	27,737.1	27,717.0
Nov-2019	27,863.5	27,748.3
Dec-2019	27,752.1	27,761.4
Jan-2020	27,689.8	27,781.0
Feb-2020	27,761.7	27,831.7
Mar-2020	29,928.5
Apr-2020	24,783.8
May-2020	28,771.8
Jun-2020	29,677.7
Jul-2020	30,776.7
Aug-2020	29,530.9
Sep-2020	29,204.2
Oct-2020	29,757.5
Nov-2020	31,575.5
Dec-2020	30,526.4
Jan-2021	30,577.1
Feb-2021	30,274.4
Mar-2021	30,590.5
Apr-2021	30,892.8
May-2021	31,004.6
Jun-2021	30,556.1
Jul-2021	29,784.6
Aug-2021	29,268.6
Sep-2021	29,841.6
Oct-2021	31,245.9
Nov-2021	33,294.2
Dec-2021	32,029.1
Jan-2022	32,612.2
Feb-2022	33,001.0
Mar-2022	33,446.4
Apr-2022	33,775.0
May-2022	34,066.0
Jun-2022	34,400.1
Jul-2022	34,647.2	34,700.6
Aug-2022	34,892.2	34,943.3
Sep-2022	35,150.9	35,117.9
Oct-2022	35,256.2	35,192.6
Nov-2022	35,825.6	35,185.5
Dec-2022	34,435.8	35,141.4
Jan-2023	35,069.0	35,103.8
Feb-2023	35,117.6	35,104.5
Mar-2023	35,234.4	35,154.1
Apr-2023	35,197.4	35,230.1
May-2023	35,465.1	35,297.5
Jun-2023	35,194.3	35,364.1
Jul-2023	35,383.3	35,368.4

Total retail turnover - level, current prices

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

[["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","Aug-2022","Sep-2022","Oct-2022","Nov-2022","Dec-2022","Jan-2023","Feb-2023","Mar-2023","Apr-2023","May-2023","Jun-2023","Jul-2023"],[[27420],[27568.700000000001],[27678.5],[27737.099999999999],[27863.5],[27752.099999999999],[27689.799999999999],[27761.700000000001],[29928.5],[24783.799999999999],[28771.799999999999],[29677.700000000001],[30776.700000000001],[29530.900000000001],[29204.200000000001],[29757.5],[31575.5],[30526.400000000001],[30577.099999999999],[30274.400000000001],[30590.5],[30892.799999999999],[31004.599999999999],[30556.099999999999],[29784.599999999999],[29268.599999999999],[29841.599999999999],[31245.900000000001],[33294.199999999997],[32029.099999999999],[32612.200000000001],[33001],[33446.400000000001],[33775],[34066],[34400.099999999999],[34647.199999999997],[34892.199999999997],[35150.900000000001],[35256.199999999997],[35825.599999999999],[34435.800000000003],[35069],[35117.599999999999],[35234.400000000001],[35197.400000000001],[35465.099999999999],[35194.300000000003],[35383.300000000003]],[[27468.599999999999],[27568.299999999999],[27656.700000000001],[27717],[27748.299999999999],[27761.400000000001],[27781],[27831.700000000001],[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],[34700.599999999999],[34943.300000000003],[35117.900000000001],[35192.599999999999],[35185.5],[35141.400000000001],[35103.800000000003],[35104.5],[35154.099999999999],[35230.099999999999],[35297.5],[35364.099999999999],[35368.400000000001]]]

[]

[{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"2","precision":"-1","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":"24000","axis_max":"38000","tick_interval":"2000","precision":"1","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Trend estimates from March 2020 to June 2022 are not available due to the degree of disruption and volatility caused by COVID-19. Trend estimates throughout the pandemic period are likely to be unhelpful and potentially misleading for users in interpreting underlying trend in retail activity.

Monthly turnover, current prices, by industry - percentage change from previous month
Industry	Seasonally adjusted (%)
Food retailing	0.0
Household goods retailing	-0.2
Clothing, footwear and personal accessory retailing	2.0
Department stores	3.6
Other retailing	0.3
Cafes, restaurants and takeaway food services	1.3
Total	0.5

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"],[[0],[-0.20000000000000001],[2],[3.6000000000000001],[0.29999999999999999],[1.3],[0.5]]]

[]

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

[{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"-1","axis_max":"4","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	0.7
Victoria	0.8
Queensland	0.7
South Australia	-0.1
Western Australia	-0.4
Tasmania	-0.7
Northern Territory	-0.2
Australian Capital Territory	1.0
Total	0.5

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"],[[0.69999999999999996],[0.80000000000000004],[0.69999999999999996],[-0.10000000000000001],[-0.40000000000000002],[-0.69999999999999996],[-0.20000000000000001],[1],[0.5]]]

[]

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

[{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"-1","axis_max":"1.5","tick_interval":"0.5","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Analysis by industry

Food retailing

Food retailing was relatively unchanged 0.0% (-$6.4m) in July, in seasonally adjusted terms.

Food retailing
Month	Seasonally adjusted ($m)	Trend ($m)
Jul-2019	11,237.7	11,252.7
Aug-2019	11,269.3	11,286.7
Sep-2019	11,353.5	11,332.8
Oct-2019	11,411.2	11,378.0
Nov-2019	11,426.1	11,422.0
Dec-2019	11,424.0	11,462.2
Jan-2020	11,445.4	11,498.1
Feb-2020	11,525.2	11,535.4
Mar-2020	14,303.8
Apr-2020	11,829.7
May-2020	12,629.1
Jun-2020	12,748.7
Jul-2020	12,925.7
Aug-2020	12,892.5
Sep-2020	12,745.5
Oct-2020	12,784.8
Nov-2020	12,731.8
Dec-2020	12,551.6
Jan-2021	12,659.0
Feb-2021	12,323.3
Mar-2021	12,241.1
Apr-2021	12,346.8
May-2021	12,500.3
Jun-2021	12,687.8
Jul-2021	12,932.0
Aug-2021	13,235.5
Sep-2021	13,126.9
Oct-2021	13,038.1
Nov-2021	12,692.1
Dec-2021	12,911.6
Jan-2022	13,235.8
Feb-2022	12,847.2
Mar-2022	12,883.6
Apr-2022	13,116.5
May-2022	13,207.8
Jun-2022	13,240.4
Jul-2022	13,352.3	13,380.1
Aug-2022	13,462.8	13,497.2
Sep-2022	13,644.1	13,599.6
Oct-2022	13,735.4	13,687.7
Nov-2022	13,752.1	13,760.1
Dec-2022	13,800.5	13,815.2
Jan-2023	13,842.8	13,857.5
Feb-2023	13,867.9	13,893.1
Mar-2023	13,984.4	13,926.9
Apr-2023	13,933.9	13,958.7
May-2023	13,992.1	13,986.1
Jun-2023	14,016.7	14,009.7
Jul-2023	14,010.3	14,029.4

Food retailing

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

[["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","Aug-2022","Sep-2022","Oct-2022","Nov-2022","Dec-2022","Jan-2023","Feb-2023","Mar-2023","Apr-2023","May-2023","Jun-2023","Jul-2023"],[[11237.700000000001],[11269.299999999999],[11353.5],[11411.200000000001],[11426.1],[11424],[11445.4],[11525.200000000001],[14303.799999999999],[11829.700000000001],[12629.1],[12748.700000000001],[12925.700000000001],[12892.5],[12745.5],[12784.799999999999],[12731.799999999999],[12551.6],[12659],[12323.299999999999],[12241.1],[12346.799999999999],[12500.299999999999],[12687.799999999999],[12932],[13235.5],[13126.9],[13038.1],[12692.1],[12911.6],[13235.799999999999],[12847.200000000001],[12883.6],[13116.5],[13207.799999999999],[13240.4],[13352.299999999999],[13462.799999999999],[13644.1],[13735.4],[13752.1],[13800.5],[13842.799999999999],[13867.9],[13984.4],[13933.9],[13992.1],[14016.700000000001],[14010.299999999999]],[[11252.700000000001],[11286.700000000001],[11332.799999999999],[11378],[11422],[11462.200000000001],[11498.1],[11535.4],[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],[13380.1],[13497.200000000001],[13599.6],[13687.700000000001],[13760.1],[13815.200000000001],[13857.5],[13893.1],[13926.9],[13958.700000000001],[13986.1],[14009.700000000001],[14029.4]]]

[]

[{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"2","precision":"-1","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 fell 0.2% (-$10.3m) in July, in seasonally adjusted terms.

Household goods retailing
Month	Seasonally adjusted ($m)	Trend ($m)
Jul-2019	4,610.2	4,599.4
Aug-2019	4,622.3	4,622.7
Sep-2019	4,633.6	4,640.9
Oct-2019	4,651.0	4,650.8
Nov-2019	4,678.8	4,654.7
Dec-2019	4,671.3	4,654.6
Jan-2020	4,627.4	4,654.4
Feb-2020	4,626.8	4,657.3
Mar-2020	4,998.6
Apr-2020	5,047.8
May-2020	5,848.2
Jun-2020	5,698.1
Jul-2020	5,998.3
Aug-2020	5,589.4
Sep-2020	5,376.8
Oct-2020	5,388.2
Nov-2020	5,977.3
Dec-2020	5,529.2
Jan-2021	5,525.9
Feb-2021	5,513.2
Mar-2021	5,512.1
Apr-2021	5,595.3
May-2021	5,545.0
Jun-2021	5,501.6
Jul-2021	5,418.6
Aug-2021	5,246.7
Sep-2021	5,495.2
Oct-2021	5,728.0
Nov-2021	6,371.5
Dec-2021	5,826.7
Jan-2022	5,882.0
Feb-2022	5,949.4
Mar-2022	6,132.0
Apr-2022	6,015.6
May-2022	6,024.6
Jun-2022	6,030.0
Jul-2022	5,998.1	6,050.6
Aug-2022	6,108.3	6,071.2
Sep-2022	6,075.0	6,075.8
Oct-2022	6,070.1	6,055.5
Nov-2022	6,251.6	6,007.7
Dec-2022	5,752.7	5,938.2
Jan-2023	5,813.5	5,862.9
Feb-2023	5,810.4	5,802.1
Mar-2023	5,782.0	5,768.0
Apr-2023	5,720.4	5,756.0
May-2023	5,766.1	5,751.8
Jun-2023	5,763.2	5,753.3
Jul-2023	5,752.9	5,744.7

Household goods retailing

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

[["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","Aug-2022","Sep-2022","Oct-2022","Nov-2022","Dec-2022","Jan-2023","Feb-2023","Mar-2023","Apr-2023","May-2023","Jun-2023","Jul-2023"],[[4610.1999999999998],[4622.3000000000002],[4633.6000000000004],[4651],[4678.8000000000002],[4671.3000000000002],[4627.3999999999996],[4626.8000000000002],[4998.6000000000004],[5047.8000000000002],[5848.1999999999998],[5698.1000000000004],[5998.3000000000002],[5589.3999999999996],[5376.8000000000002],[5388.1999999999998],[5977.3000000000002],[5529.1999999999998],[5525.8999999999996],[5513.1999999999998],[5512.1000000000004],[5595.3000000000002],[5545],[5501.6000000000004],[5418.6000000000004],[5246.6999999999998],[5495.1999999999998],[5728],[6371.5],[5826.6999999999998],[5882],[5949.3999999999996],[6132],[6015.6000000000004],[6024.6000000000004],[6030],[5998.1000000000004],[6108.3000000000002],[6075],[6070.1000000000004],[6251.6000000000004],[5752.6999999999998],[5813.5],[5810.3999999999996],[5782],[5720.3999999999996],[5766.1000000000004],[5763.1999999999998],[5752.8999999999996]],[[4599.3999999999996],[4622.6999999999998],[4640.8999999999996],[4650.8000000000002],[4654.6999999999998],[4654.6000000000004],[4654.3999999999996],[4657.3000000000002],[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],[6050.6000000000004],[6071.1999999999998],[6075.8000000000002],[6055.5],[6007.6999999999998],[5938.1999999999998],[5862.8999999999996],[5802.1000000000004],[5768],[5756],[5751.8000000000002],[5753.3000000000002],[5744.6999999999998]]]

[]

[{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"2","precision":"-1","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":"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 2.0% ($56.7m) in July, in seasonally adjusted terms.

Clothing, footwear and personal accessory retailing
Month	Seasonally adjusted ($m)	Trend ($m)
Jul-2019	2,158.8	2,172.9
Aug-2019	2,202.4	2,185.6
Sep-2019	2,188.6	2,194.9
Oct-2019	2,180.7	2,197.4
Nov-2019	2,215.3	2,192.6
Dec-2019	2,190.3	2,180.1
Jan-2020	2,167.9	2,161.7
Feb-2020	2,103.4	2,141.3
Mar-2020	1,600.0
Apr-2020	753.8
May-2020	1,719.5
Jun-2020	2,073.1
Jul-2020	2,242.5
Aug-2020	2,003.8
Sep-2020	1,981.4
Oct-2020	2,112.0
Nov-2020	2,593.9
Dec-2020	2,431.2
Jan-2021	2,340.1
Feb-2021	2,379.9
Mar-2021	2,480.8
Apr-2021	2,507.3
May-2021	2,517.6
Jun-2021	2,304.2
Jul-2021	1,953.3
Aug-2021	1,638.8
Sep-2021	1,770.0
Oct-2021	2,232.0
Nov-2021	2,986.5
Dec-2021	2,583.9
Jan-2022	2,517.0
Feb-2022	2,801.1
Mar-2022	2,838.3
Apr-2022	2,863.8
May-2022	2,859.9
Jun-2022	2,945.4
Jul-2022	2,969.6	2,976.4
Aug-2022	2,977.5	2,996.8
Sep-2022	2,988.3	3,004.5
Oct-2022	2,990.8	3,000.0
Nov-2022	3,189.4	2,987.4
Dec-2022	2,779.3	2,973.5
Jan-2023	2,957.0	2,961.3
Feb-2023	2,973.5	2,955.0
Mar-2023	2,946.2	2,955.2
Apr-2023	3,007.2	2,958.7
May-2023	2,970.1	2,959.6
Jun-2023	2,902.0	2,961.2
Jul-2023	2,958.7	2,945.4

Clothing, footwear and personal accessory retailing

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

[["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","Aug-2022","Sep-2022","Oct-2022","Nov-2022","Dec-2022","Jan-2023","Feb-2023","Mar-2023","Apr-2023","May-2023","Jun-2023","Jul-2023"],[[2158.8000000000002],[2202.4000000000001],[2188.5999999999999],[2180.6999999999998],[2215.3000000000002],[2190.3000000000002],[2167.9000000000001],[2103.4000000000001],[1600],[753.79999999999995],[1719.5],[2073.0999999999999],[2242.5],[2003.8],[1981.4000000000001],[2112],[2593.9000000000001],[2431.1999999999998],[2340.0999999999999],[2379.9000000000001],[2480.8000000000002],[2507.3000000000002],[2517.5999999999999],[2304.1999999999998],[1953.3],[1638.8],[1770],[2232],[2986.5],[2583.9000000000001],[2517],[2801.0999999999999],[2838.3000000000002],[2863.8000000000002],[2859.9000000000001],[2945.4000000000001],[2969.5999999999999],[2977.5],[2988.3000000000002],[2990.8000000000002],[3189.4000000000001],[2779.3000000000002],[2957],[2973.5],[2946.1999999999998],[3007.1999999999998],[2970.0999999999999],[2902],[2958.6999999999998]],[[2172.9000000000001],[2185.5999999999999],[2194.9000000000001],[2197.4000000000001],[2192.5999999999999],[2180.0999999999999],[2161.6999999999998],[2141.3000000000002],[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],[2976.4000000000001],[2996.8000000000002],[3004.5],[3000],[2987.4000000000001],[2973.5],[2961.3000000000002],[2955],[2955.1999999999998],[2958.6999999999998],[2959.5999999999999],[2961.1999999999998],[2945.4000000000001]]]

[]

[{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"2","precision":"-1","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 3.6% ($65.1m) in July, in seasonally adjusted terms.

Department stores
Month	Seasonally adjusted ($m)	Trend ($m)
Jul-2019	1,549.6	1,568.3
Aug-2019	1,573.7	1,572.8
Sep-2019	1,577.7	1,576.9
Oct-2019	1,573.3	1,579.6
Nov-2019	1,611.8	1,581.2
Dec-2019	1,577.9	1,581.7
Jan-2020	1,552.1	1,580.5
Feb-2020	1,584.0	1,579.5
Mar-2020	1,424.2
Apr-2020	1,239.7
May-2020	1,751.6
Jun-2020	1,573.4
Jul-2020	1,627.2
Aug-2020	1,468.8
Sep-2020	1,476.4
Oct-2020	1,588.5
Nov-2020	1,857.7
Dec-2020	1,679.7
Jan-2021	1,661.1
Feb-2021	1,670.5
Mar-2021	1,781.3
Apr-2021	1,706.1
May-2021	1,669.4
Jun-2021	1,568.6
Jul-2021	1,392.7
Aug-2021	1,221.8
Sep-2021	1,241.3
Oct-2021	1,528.4
Nov-2021	1,868.3
Dec-2021	1,549.2
Jan-2022	1,605.1
Feb-2022	1,752.9
Mar-2022	1,797.3
Apr-2022	1,794.3
May-2022	1,841.8
Jun-2022	1,844.3
Jul-2022	1,871.0	1,874.8
Aug-2022	1,891.1	1,893.9
Sep-2022	1,905.9	1,900.4
Oct-2022	1,897.9	1,896.0
Nov-2022	2,001.4	1,884.7
Dec-2022	1,727.8	1,875.2
Jan-2023	1,871.9	1,870.6
Feb-2023	1,887.5	1,871.5
Mar-2023	1,881.8	1,875.4
Apr-2023	1,911.7	1,878.1
May-2023	1,895.9	1,875.9
Jun-2023	1,805.6	1,872.2
Jul-2023	1,870.7	1,857.8

Department stores

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

[["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","Aug-2022","Sep-2022","Oct-2022","Nov-2022","Dec-2022","Jan-2023","Feb-2023","Mar-2023","Apr-2023","May-2023","Jun-2023","Jul-2023"],[[1549.5999999999999],[1573.7],[1577.7],[1573.3],[1611.8],[1577.9000000000001],[1552.0999999999999],[1584],[1424.2],[1239.7],[1751.5999999999999],[1573.4000000000001],[1627.2],[1468.8],[1476.4000000000001],[1588.5],[1857.7],[1679.7],[1661.0999999999999],[1670.5],[1781.3],[1706.0999999999999],[1669.4000000000001],[1568.5999999999999],[1392.7],[1221.8],[1241.3],[1528.4000000000001],[1868.3],[1549.2],[1605.0999999999999],[1752.9000000000001],[1797.3],[1794.3],[1841.8],[1844.3],[1871],[1891.0999999999999],[1905.9000000000001],[1897.9000000000001],[2001.4000000000001],[1727.8],[1871.9000000000001],[1887.5],[1881.8],[1911.7],[1895.9000000000001],[1805.5999999999999],[1870.7]],[[1568.3],[1572.8],[1576.9000000000001],[1579.5999999999999],[1581.2],[1581.7],[1580.5],[1579.5],[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],[1874.8],[1893.9000000000001],[1900.4000000000001],[1896],[1884.7],[1875.2],[1870.5999999999999],[1871.5],[1875.4000000000001],[1878.0999999999999],[1875.9000000000001],[1872.2],[1857.8]]]

[]

[{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"2","precision":"-1","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":"1000","axis_max":"2200","tick_interval":"200","precision":"1","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Other retailing

Other retailing rose 0.3% ($15.6m) in July, in seasonally adjusted terms.

Other retailing
Month	Seasonally adjusted ($m)	Trend ($m)
Jul-2019	3,971.3	3,980.5
Aug-2019	4,003.9	3,993.3
Sep-2019	4,014.1	3,999.3
Oct-2019	4,005.4	3,992.7
Nov-2019	3,966.7	3,980.5
Dec-2019	3,964.8	3,962.4
Jan-2020	3,955.4	3,952.4
Feb-2020	3,975.6	3,948.7
Mar-2020	4,587.3
Apr-2020	3,962.8
May-2020	4,299.2
Jun-2020	4,338.0
Jul-2020	4,570.0
Aug-2020	4,348.7
Sep-2020	4,309.9
Oct-2020	4,394.4
Nov-2020	4,684.4
Dec-2020	4,495.2
Jan-2021	4,540.4
Feb-2021	4,533.8
Mar-2021	4,573.2
Apr-2021	4,643.9
May-2021	4,659.9
Jun-2021	4,630.1
Jul-2021	4,674.9
Aug-2021	4,729.0
Sep-2021	4,849.5
Oct-2021	4,937.2
Nov-2021	5,241.6
Dec-2021	5,057.6
Jan-2022	5,249.3
Feb-2022	5,183.5
Mar-2022	5,253.7
Apr-2022	5,318.6
May-2022	5,361.5
Jun-2022	5,422.0
Jul-2022	5,487.1	5,444.2
Aug-2022	5,406.0	5,445.7
Sep-2022	5,415.0	5,430.7
Oct-2022	5,412.4	5,407.4
Nov-2022	5,483.4	5,379.9
Dec-2022	5,229.6	5,357.2
Jan-2023	5,369.9	5,344.6
Feb-2023	5,347.0	5,345.0
Mar-2023	5,338.3	5,355.1
Apr-2023	5,336.5	5,370.3
May-2023	5,482.5	5,383.1
Jun-2023	5,357.7	5,394.7
Jul-2023	5,373.3	5,393.0

Other retailing

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

[["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","Aug-2022","Sep-2022","Oct-2022","Nov-2022","Dec-2022","Jan-2023","Feb-2023","Mar-2023","Apr-2023","May-2023","Jun-2023","Jul-2023"],[[3971.3000000000002],[4003.9000000000001],[4014.0999999999999],[4005.4000000000001],[3966.6999999999998],[3964.8000000000002],[3955.4000000000001],[3975.5999999999999],[4587.3000000000002],[3962.8000000000002],[4299.1999999999998],[4338],[4570],[4348.6999999999998],[4309.8999999999996],[4394.3999999999996],[4684.3999999999996],[4495.1999999999998],[4540.3999999999996],[4533.8000000000002],[4573.1999999999998],[4643.8999999999996],[4659.8999999999996],[4630.1000000000004],[4674.8999999999996],[4729],[4849.5],[4937.1999999999998],[5241.6000000000004],[5057.6000000000004],[5249.3000000000002],[5183.5],[5253.6999999999998],[5318.6000000000004],[5361.5],[5422],[5487.1000000000004],[5406],[5415],[5412.3999999999996],[5483.3999999999996],[5229.6000000000004],[5369.8999999999996],[5347],[5338.3000000000002],[5336.5],[5482.5],[5357.6999999999998],[5373.3000000000002]],[[3980.5],[3993.3000000000002],[3999.3000000000002],[3992.6999999999998],[3980.5],[3962.4000000000001],[3952.4000000000001],[3948.6999999999998],[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],[5444.1999999999998],[5445.6999999999998],[5430.6999999999998],[5407.3999999999996],[5379.8999999999996],[5357.1999999999998],[5344.6000000000004],[5345],[5355.1000000000004],[5370.3000000000002],[5383.1000000000004],[5394.6999999999998],[5393]]]

[]

[{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"2","precision":"-1","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":"3500","axis_max":"6000","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 1.3% ($68.4m) in July, in seasonally adjusted terms.

Cafes, restaurants and takeaway food services
Month	Seasonally adjusted ($m)	Trend ($m)
Jul-2019	3,892.4	3,895.6
Aug-2019	3,897.0	3,904.5
Sep-2019	3,911.0	3,913.4
Oct-2019	3,915.5	3,921.3
Nov-2019	3,964.7	3,929.7
Dec-2019	3,923.8	3,938.2
Jan-2020	3,941.6	3,947.8
Feb-2020	3,946.5	3,962.0
Mar-2020	3,014.6
Apr-2020	1,950.0
May-2020	2,524.2
Jun-2020	3,246.4
Jul-2020	3,412.9
Aug-2020	3,227.7
Sep-2020	3,314.1
Oct-2020	3,489.6
Nov-2020	3,730.3
Dec-2020	3,839.6
Jan-2021	3,850.5
Feb-2021	3,853.8
Mar-2021	4,002.0
Apr-2021	4,093.4
May-2021	4,112.5
Jun-2021	3,863.8
Jul-2021	3,413.1
Aug-2021	3,196.8
Sep-2021	3,358.5
Oct-2021	3,782.2
Nov-2021	4,134.1
Dec-2021	4,100.0
Jan-2022	4,123.0
Feb-2022	4,466.8
Mar-2022	4,541.6
Apr-2022	4,666.1
May-2022	4,770.3
Jun-2022	4,917.9
Jul-2022	4,969.1	4,974.8
Aug-2022	5,046.6	5,048.1
Sep-2022	5,122.7	5,098.8
Oct-2022	5,149.6	5,133.1
Nov-2022	5,147.6	5,158.4
Dec-2022	5,146.0	5,182.2
Jan-2023	5,213.9	5,208.6
Feb-2023	5,231.4	5,238.9
Mar-2023	5,301.7	5,273.5
Apr-2023	5,287.7	5,308.3
May-2023	5,358.4	5,341.0
Jun-2023	5,349.0	5,372.4
Jul-2023	5,417.4	5,399.4

Cafes, restaurants and takeaway food services

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

[["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","Aug-2022","Sep-2022","Oct-2022","Nov-2022","Dec-2022","Jan-2023","Feb-2023","Mar-2023","Apr-2023","May-2023","Jun-2023","Jul-2023"],[[3892.4000000000001],[3897],[3911],[3915.5],[3964.6999999999998],[3923.8000000000002],[3941.5999999999999],[3946.5],[3014.5999999999999],[1950],[2524.1999999999998],[3246.4000000000001],[3412.9000000000001],[3227.6999999999998],[3314.0999999999999],[3489.5999999999999],[3730.3000000000002],[3839.5999999999999],[3850.5],[3853.8000000000002],[4002],[4093.4000000000001],[4112.5],[3863.8000000000002],[3413.0999999999999],[3196.8000000000002],[3358.5],[3782.1999999999998],[4134.1000000000004],[4100],[4123],[4466.8000000000002],[4541.6000000000004],[4666.1000000000004],[4770.3000000000002],[4917.8999999999996],[4969.1000000000004],[5046.6000000000004],[5122.6999999999998],[5149.6000000000004],[5147.6000000000004],[5146],[5213.8999999999996],[5231.3999999999996],[5301.6999999999998],[5287.6999999999998],[5358.3999999999996],[5349],[5417.3999999999996]],[[3895.5999999999999],[3904.5],[3913.4000000000001],[3921.3000000000002],[3929.6999999999998],[3938.1999999999998],[3947.8000000000002],[3962],[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],[4974.8000000000002],[5048.1000000000004],[5098.8000000000002],[5133.1000000000004],[5158.3999999999996],[5182.1999999999998],[5208.6000000000004],[5238.8999999999996],[5273.5],[5308.3000000000002],[5341],[5372.3999999999996],[5399.3999999999996]]]

[]

[{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"2","precision":"-1","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":"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 $3,622.1m in July 2023, in seasonally adjusted terms. Seasonally adjusted online sales fell 7.4 per cent (-$288.3m), following a fall of 0.4 per cent (-$15.0m) in June 2023. Seasonally adjusted through-the-year sales are down 0.6 per cent (-$22.5m).

Original sales in July 2023 fell by 3.9 per cent (-$144.4m).

Total online, original and seasonally adjusted
	Original ($m)	Seasonally adjusted ($m)
Jul-19	1,680.5	1,730.1
Aug-19	1,737.6	1,727.9
Sep-19	1,758.3	1,757.0
Oct-19	1,867.2	1,766.2
Nov-19	2,118.4	1,817.1
Dec-19	2,306.7	1,905.7
Jan-20	1,712.5	1,839.5
Feb-20	1,675.8	1,929.9
Mar-20	2,069.0	2,184.0
Apr-20	2,615.4	2,846.3
May-20	2,859.1	2,950.4
Jun-20	2,766.6	2,934.0
Jul-20	2,950.5	2,971.2
Aug-20	3,135.7	3,066.0
Sep-20	3,010.0	3,036.3
Oct-20	3,157.6	3,009.9
Nov-20	3,632.1	3,021.1
Dec-20	3,548.7	2,918.5
Jan-21	2,740.4	2,979.4
Feb-21	2,496.6	2,976.5
Mar-21	2,856.7	3,030.1
Apr-21	2,677.1	2,979.2
May-21	2,759.4	2,815.6
Jun-21	3,092.7	3,264.3
Jul-21	3,659.0	3,717.0
Aug-21	4,254.9	4,158.6
Sep-21	4,409.5	4,308.2
Oct-21	4,178.8	3,999.5
Nov-21	4,403.8	3,733.0
Dec-21	4,305.1	3,562.1
Jan-22	3,541.3	3,816.9
Feb-22	3,048.2	3,654.0
Mar-22	3,580.7	3,734.0
Apr-22	3,246.9	3,740.4
May-22	3,505.4	3,587.1
Jun-22	3,544.4	3,641.3
Jul-22	3,584.0	3,644.6
Aug-22	3,605.2	3,540.4
Sep-22	3,588.5	3,550.3
Oct-22	3,784.3	3,585.4
Nov-22	4,752.9	3,999.7
Dec-22	4,576.7	3,832.7
Jan-23	3,541.5	3,816.6
Feb-23	3,246.8	3,902.2
Mar-23	3,620.0	3,792.9
Apr-23	3,357.8	3,759.7
May-23	3,779.9	3,925.4
Jun-23	3,741.8	3,910.4
Jul-23	3,597.4	3,622.1

Total online, original and seasonally adjusted

["","Original","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","Aug-22","Sep-22","Oct-22","Nov-22","Dec-22","Jan-23","Feb-23","Mar-23","Apr-23","May-23","Jun-23","Jul-23"],[[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],[3605.1999999999998],[3588.5],[3784.3000000000002],[4752.8999999999996],[4576.6999999999998],[3541.5],[3246.8000000000002],[3620],[3357.8000000000002],[3779.9000000000001],[3741.8000000000002],[3597.4000000000001]],[[1730.0999999999999],[1727.9000000000001],[1757],[1766.2],[1817.0999999999999],[1905.7],[1839.5],[1929.9000000000001],[2184],[2846.3000000000002],[2950.4000000000001],[2934],[2971.1999999999998],[3066],[3036.3000000000002],[3009.9000000000001],[3021.0999999999999],[2918.5],[2979.4000000000001],[2976.5],[3030.0999999999999],[2979.1999999999998],[2815.5999999999999],[3264.3000000000002],[3717],[4158.6000000000004],[4308.1999999999998],[3999.5],[3733],[3562.0999999999999],[3816.9000000000001],[3654],[3734],[3740.4000000000001],[3587.0999999999999],[3641.3000000000002],[3644.5999999999999],[3540.4000000000001],[3550.3000000000002],[3585.4000000000001],[3999.6999999999998],[3832.6999999999998],[3816.5999999999999],[3902.1999999999998],[3792.9000000000001],[3759.6999999999998],[3925.4000000000001],[3910.4000000000001],[3622.0999999999999]]]

[]

[{"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":"0","axis_max":"5000","tick_interval":"1000","precision":"1","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

In July 2023, food online sales were $1,081.2m and non-food online sales were $2,540.9m, in seasonally adjusted terms. Food sales fell 4.6 per cent (-$51.8m) whilst non-food fell 8.5 per cent (-$236.5m).

Online sales, Food and Non-Food, seasonally adjusted
	Food ($m)	Non-Food ($m)
Jul-19	453.1	1,276.9
Aug-19	459.7	1,268.2
Sep-19	481.1	1,275.9
Oct-19	504.0	1,262.2
Nov-19	498.0	1,319.1
Dec-19	494.5	1,411.2
Jan-20	501.0	1,338.5
Feb-20	532.7	1,397.3
Mar-20	534.0	1,650.0
Apr-20	582.8	2,263.5
May-20	741.7	2,208.7
Jun-20	789.7	2,144.3
Jul-20	802.3	2,168.9
Aug-20	853.4	2,212.7
Sep-20	849.3	2,187.0
Oct-20	844.5	2,165.4
Nov-20	833.1	2,188.0
Dec-20	836.4	2,082.0
Jan-21	892.7	2,086.7
Feb-21	888.1	2,088.4
Mar-21	930.9	2,099.2
Apr-21	889.1	2,090.0
May-21	805.1	2,010.5
Jun-21	891.0	2,373.3
Jul-21	995.3	2,721.7
Aug-21	1,135.2	3,023.4
Sep-21	1,072.9	3,235.3
Oct-21	1,038.9	2,960.6
Nov-21	994.2	2,738.7
Dec-21	1,025.1	2,537.0
Jan-22	1,037.8	2,779.1
Feb-22	1,015.6	2,638.4
Mar-22	1,035.8	2,698.2
Apr-22	1,047.9	2,692.4
May-22	1,027.8	2,559.3
Jun-22	984.5	2,656.7
Jul-22	1,025.0	2,619.6
Aug-22	997.1	2,543.2
Sep-22	995.5	2,554.8
Oct-22	1,017.9	2,567.5
Nov-22	1,081.7	2,917.9
Dec-22	1,121.1	2,711.6
Jan-23	1,056.2	2,760.4
Feb-23	1,064.6	2,837.6
Mar-23	1,083.0	2,709.9
Apr-23	1,071.5	2,688.2
May-23	1,107.2	2,818.2
Jun-23	1,133.0	2,777.4
Jul-23	1,081.2	2,540.9

Online sales, Food and Non-Food, seasonally adjusted

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

[["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","Aug-22","Sep-22","Oct-22","Nov-22","Dec-22","Jan-23","Feb-23","Mar-23","Apr-23","May-23","Jun-23","Jul-23"],[[453.10000000000002],[459.69999999999999],[481.10000000000002],[504],[498],[494.5],[501],[532.70000000000005],[534],[582.79999999999995],[741.70000000000005],[789.70000000000005],[802.29999999999995],[853.39999999999998],[849.29999999999995],[844.5],[833.10000000000002],[836.39999999999998],[892.70000000000005],[888.10000000000002],[930.89999999999998],[889.10000000000002],[805.10000000000002],[891],[995.29999999999995],[1135.2],[1072.9000000000001],[1038.9000000000001],[994.20000000000005],[1025.0999999999999],[1037.8],[1015.6],[1035.8],[1047.9000000000001],[1027.8],[984.5],[1025],[997.10000000000002],[995.5],[1017.9],[1081.7],[1121.0999999999999],[1056.2],[1064.5999999999999],[1083],[1071.5],[1107.2],[1133],[1081.2]],[[1276.9000000000001],[1268.2],[1275.9000000000001],[1262.2],[1319.0999999999999],[1411.2],[1338.5],[1397.3],[1650],[2263.5],[2208.6999999999998],[2144.3000000000002],[2168.9000000000001],[2212.6999999999998],[2187],[2165.4000000000001],[2188],[2082],[2086.6999999999998],[2088.4000000000001],[2099.1999999999998],[2090],[2010.5],[2373.3000000000002],[2721.6999999999998],[3023.4000000000001],[3235.3000000000002],[2960.5999999999999],[2738.6999999999998],[2537],[2779.0999999999999],[2638.4000000000001],[2698.1999999999998],[2692.4000000000001],[2559.3000000000002],[2656.6999999999998],[2619.5999999999999],[2543.1999999999998],[2554.8000000000002],[2567.5],[2917.9000000000001],[2711.5999999999999],[2760.4000000000001],[2837.5999999999999],[2709.9000000000001],[2688.1999999999998],[2818.1999999999998],[2777.4000000000001],[2540.9000000000001]]]

[]

[{"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":"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 food retailing sales to total food retailing was unchanged at 5.9 per cent. The proportion for online non-food retailing sales to total non-food retailing fell from 17.0 per cent to 16.4 per cent.

In original terms, the proportion of online sales to total retailing fell from 11.0 per cent in June 2023 to 10.5 per cent in July 2023.

Proportion of industry group turnover online, original
	Food (%)	Non-Food (%)	Total (%)
Jul-19	2.7	10.4	6.3
Aug-19	2.8	10.5	6.4
Sep-19	2.9	10.7	6.6
Oct-19	3.1	10.7	6.6
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	13.0	7.1
Apr-20	4.1	20.5	11.1
May-20	5.0	16.1	10.1
Jun-20	4.9	15.0	9.7
Jul-20	5.2	15.2	9.8
Aug-20	5.8	17.6	11.0
Sep-20	5.7	16.8	10.6
Oct-20	5.3	16.6	10.4
Nov-20	5.2	16.8	11.0
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	14.0	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	15.0
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	10.0
May-22	5.6	16.1	10.5
Jun-22	5.6	16.3	10.7
Jul-22	5.8	16.2	10.6
Aug-22	5.8	16.4	10.7
Sep-22	5.7	16.1	10.5
Oct-22	5.6	16.7	10.7
Nov-22	5.8	19.4	12.6
Dec-22	5.2	15.7	10.4
Jan-23	5.2	16.7	10.3
Feb-23	5.4	16.9	10.4
Mar-23	5.7	16.6	10.5
Apr-23	5.3	16.1	10.0
May-23	5.7	17.2	10.9
Jun-23	5.9	17.0	11.0
Jul-23	5.9	16.4	10.5

Proportion of industry group turnover online, original

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

[["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","Aug-22","Sep-22","Oct-22","Nov-22","Dec-22","Jan-23","Feb-23","Mar-23","Apr-23","May-23","Jun-23","Jul-23"],[[2.7000000000000002],[2.7999999999999998],[2.8999999999999999],[3.1000000000000001],[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],[5.7999999999999998],[5.7000000000000002],[5.5999999999999996],[5.7999999999999998],[5.2000000000000002],[5.2000000000000002],[5.4000000000000004],[5.7000000000000002],[5.2999999999999998],[5.7000000000000002],[5.9000000000000004],[5.9000000000000004]],[[10.4],[10.5],[10.699999999999999],[10.699999999999999],[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],[16.399999999999999],[16.100000000000001],[16.699999999999999],[19.399999999999999],[15.699999999999999],[16.699999999999999],[16.899999999999999],[16.600000000000001],[16.100000000000001],[17.199999999999999],[17],[16.399999999999999]],[[6.2999999999999998],[6.4000000000000004],[6.5999999999999996],[6.5999999999999996],[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],[10.699999999999999],[10.5],[10.699999999999999],[12.6],[10.4],[10.300000000000001],[10.4],[10.5],[10],[10.9],[11],[10.5]]]

[]

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

[{"value":"0","axis_id":"0","axis_title":"%","axis_units":"","tooltip_units":"(%)","table_units":"(%)","axis_min":"0","axis_max":"30","tick_interval":"5","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

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 1 September 2023. This includes June 2023 quarterly results for consumer sales of energy retailing and communications services. Tables 1 through to 4 remain unchanged from their release on 28 August 2023.

Download all (4.31 MB)

Time series spreadsheets

Data files

Table 1. Retail turnover, by industry group
Download xlsx [132.84 KB]
Table 2. Retail turnover, by industry group - percentage change from previous month
Download xlsx [113.49 KB]
Table 3. Retail turnover, by state
Download xlsx [160.94 KB]
Table 4. Retail turnover, by state - percentage change from previous month
Download xlsx [135.92 KB]
Table 5. Quarterly retail turnover percentage change, volume and price, seasonally adjusted - by industry group
Download xlsx [66.56 KB]
Table 6. Quarterly retail turnover percentage change, volume and price, seasonally adjusted - by state
Download xlsx [73.39 KB]
Table 7. Quarterly retail turnover, chain volume measures - by industry group
Download xlsx [81.28 KB]
Table 8. Quarterly retail turnover percentage change, chain volume measures - by industry group
Download xlsx [71.01 KB]
Table 9. Quarterly retail turnover, chain volume measures - by state
Download xlsx [92.55 KB]
Table 10. Quarterly retail turnover percentage change, chain volume measures - by state
Download xlsx [79.14 KB]
Table 11. Retail turnover, state by industry subgroup, original
Download xlsx [1.3 MB]
Table 12. Retail turnover, state by industry subgroup, seasonally adjusted
Download xlsx [854.72 KB]
Table 13. Retail turnover, state by industry subgroup, trend
Download xlsx [1006.7 KB]
Table 14. Retail turnover; completely enumerated (large) and sample (small), by industry group
Download xlsx [82.99 KB]
Table 15. Retail turnover; completely enumerated (large) and sample (small), by state
Download xlsx [94.68 KB]
Table 16. Retail turnover, completely enumerated sector: Australia
Download xlsx [64.36 KB]
Table 17. Quarterly consumer sales, Australia, by type of activity
Download xlsx [46.43 KB]
Table 18. Quarterly consumer sales, Australia, by type of activity - percentage change from previous quarter
Download xlsx [49.6 KB]
Table 19. Quarterly retail turnover per capita, Australia, all series
Download xlsx [57.04 KB]
Table 20. Quarterly retail turnover per capita, Australia, all series - percentage change from previous quarter
Download xlsx [55.26 KB]
Table 21. Experimental series - online retail turnover Australia by type of activity
Download xlsx [56.49 KB]
Table 22. Experimental series - online retail turnover Australia by type of activity percentage change
Download xlsx [57.43 KB]
Table 23. Experimental series - online retail turnover Australia by type of activity percentage of total Australian retail turnover
Download xlsx [47.88 KB]

Data Explorer datasets

The data available in Data Explorer is similar to ABS.Stat but with a new interface and added functionality.
For more information about Data Explorer and to see what's changed, see the Data Explorer user guide.

Caution: Data in Data Explorer is currently released after the 11:30am release on the ABS website. Please check the reference period when using Data Explorer.

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

Reinstating trend series

Coronavirus (COVID-19)

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

01/09/2023 - As advertised in the main release of this publication on 28 August 2023, 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 2023 results, available in tables 5 through to 10. These results have been published previously.
June quarter 2023 results for consumer sales of energy retailing and communications services.

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.

Enquiries

For enquiries 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

Scope

This publication presents estimates of the value of turnover of retail trade for Australian businesses. This includes all employing retail trade businesses who predominantly sell to households.

Geography

Data is available for:

Australia Total
States and territories.

Source

Retail Business Survey

Collection method

The survey includes about 700 large businesses and 2,700 smaller businesses selected by random sample.

The survey is conducted monthly primarily by telephone interview. A small number of questionnaires are mailed.

Concepts, sources and methods

Turnover includes:

retail sales
online sales
wholesale sales
takings from repairs, meals & hiring of goods
commissions from agency activity

Businesses are classified in terms of the retail industry group and subgroup it mainly operates in.

History of changes

GST was included in turnover from 2000.

View full methodology

Do you need more detailed statistics?

Request data

We can provide customised data to meet your requirements

Request a quote

Microdata and TableBuilder

We can provide access to detailed, customisable data on selected topics

View available Microdata and TableBuilder

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