Retail Trade, Australia

Latest release

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

Reference period

April 2024

Released

28/05/2024

Key statistics

The April 2024 seasonally adjusted estimate:

Rose 0.1% month-on-month.
Rose 1.3% compared with April 2023.

An additional release on 4 June 2024 will see the inclusion of more detailed results for the April 2024 reference period. Additional timeseries spreadsheets will be published, including; state by industry results, state by industry sub-group results, previously published March quarter 2024 turnover volumes, and online sales.

Upcoming changes to Retail Trade, Australia release schedule

From the May 2024 reference month onwards, Retail Trade, Australia will move to a new single release schedule with the full suite of statistics generally made available 22 working days following the end of the reference period.

To understand more about any changes to the future release schedule, please read the survey impacts and changes.

Turnover at current prices
	Apr-2024 ($m)	Mar-2024 to Apr-2024 (% change)	Apr-2023 to Apr-2024 (% change)
Trend	35,714.1	0.0	1.2
Seasonally adjusted	35,713.9	0.1	1.3

Total retail turnover

Monthly turnover, current prices - seasonally adjusted estimate
Month	Monthly (%)	Through the year (%)
Apr-2019	-0.3	2.5
May-2019	0.4	2.5
Jun-2019	0.4	2.5
Jul-2019	0.0	2.6
Aug-2019	0.5	2.4
Sep-2019	0.1	2.4
Oct-2019	0.4	2.4
Nov-2019	0.0	3.0
Dec-2019	1.0	2.7
Jan-2020	-0.5	2.3
Feb-2020	0.1	2.0
Mar-2020	7.4	9.7
Apr-2020	-17.1	-8.8
May-2020	16.1	5.5
Jun-2020	3.0	8.2
Jul-2020	3.8	12.3
Aug-2020	-4.2	7.0
Sep-2020	-1.2	5.6
Oct-2020	2.1	7.3
Nov-2020	5.2	12.8
Dec-2020	-1.0	10.6
Jan-2021	-0.5	10.6
Feb-2021	-1.3	9.1
Mar-2021	0.7	2.3
Apr-2021	1.0	24.7
May-2021	0.2	7.6
Jun-2021	-1.3	3.1
Jul-2021	-2.6	-3.2
Aug-2021	-1.9	-0.9
Sep-2021	1.7	2.0
Oct-2021	5.1	5.0
Nov-2021	5.3	5.2
Dec-2021	-1.0	5.2
Jan-2022	0.8	6.6
Feb-2022	1.0	9.1
Mar-2022	1.2	9.5
Apr-2022	0.9	9.5
May-2022	0.5	9.8
Jun-2022	1.1	12.5
Jul-2022	0.7	16.3
Aug-2022	0.5	19.3
Sep-2022	0.4	17.7
Oct-2022	0.6	12.7
Nov-2022	0.5	7.5
Dec-2022	-0.8	7.7
Jan-2023	0.8	7.7
Feb-2023	-0.2	6.4
Mar-2023	0.2	5.4
Apr-2023	-0.3	4.2
May-2023	0.5	4.1
Jun-2023	-0.7	2.3
Jul-2023	0.3	2.0
Aug-2023	0.2	1.7
Sep-2023	0.7	2.0
Oct-2023	-0.3	1.1
Nov-2023	1.5	2.1
Dec-2023	-2.0	0.9
Jan-2024	1.1	1.1
Feb-2024	0.2	1.5
Mar-2024	-0.4	0.9
Apr-2024	0.1	1.3

Monthly turnover, current prices - seasonally adjusted estimate

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

[["Apr-2019","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","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","Aug-2023","Sep-2023","Oct-2023","Nov-2023","Dec-2023","Jan-2024","Feb-2024","Mar-2024","Apr-2024"],[[-0.29999999999999999],[0.40000000000000002],[0.40000000000000002],[0],[0.5],[0.10000000000000001],[0.40000000000000002],[0],[1],[-0.5],[0.10000000000000001],[7.4000000000000004],[-17.100000000000001],[16.100000000000001],[3],[3.7999999999999998],[-4.2000000000000002],[-1.2],[2.1000000000000001],[5.2000000000000002],[-1],[-0.5],[-1.3],[0.69999999999999996],[1],[0.20000000000000001],[-1.3],[-2.6000000000000001],[-1.8999999999999999],[1.7],[5.0999999999999996],[5.2999999999999998],[-1],[0.80000000000000004],[1],[1.2],[0.90000000000000002],[0.5],[1.1000000000000001],[0.69999999999999996],[0.5],[0.40000000000000002],[0.59999999999999998],[0.5],[-0.80000000000000004],[0.80000000000000004],[-0.20000000000000001],[0.20000000000000001],[-0.29999999999999999],[0.5],[-0.69999999999999996],[0.29999999999999999],[0.20000000000000001],[0.69999999999999996],[-0.29999999999999999],[1.5],[-2],[1.1000000000000001],[0.20000000000000001],[-0.40000000000000002],[0.10000000000000001]],[[2.5],[2.5],[2.5],[2.6000000000000001],[2.3999999999999999],[2.3999999999999999],[2.3999999999999999],[3],[2.7000000000000002],[2.2999999999999998],[2],[9.6999999999999993],[-8.8000000000000007],[5.5],[8.1999999999999993],[12.300000000000001],[7],[5.5999999999999996],[7.2999999999999998],[12.800000000000001],[10.6],[10.6],[9.0999999999999996],[2.2999999999999998],[24.699999999999999],[7.5999999999999996],[3.1000000000000001],[-3.2000000000000002],[-0.90000000000000002],[2],[5],[5.2000000000000002],[5.2000000000000002],[6.5999999999999996],[9.0999999999999996],[9.5],[9.5],[9.8000000000000007],[12.5],[16.300000000000001],[19.300000000000001],[17.699999999999999],[12.699999999999999],[7.5],[7.7000000000000002],[7.7000000000000002],[6.4000000000000004],[5.4000000000000004],[4.2000000000000002],[4.0999999999999996],[2.2999999999999998],[2],[1.7],[2],[1.1000000000000001],[2.1000000000000001],[0.90000000000000002],[1.1000000000000001],[1.5],[0.90000000000000002],[1.3]]]

[]

{"0":{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"3","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":null},"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)
Apr-2019	27,177.4	27,277.3
May-2019	27,290.4	27,307.8
Jun-2019	27,389.5	27,353.0
Jul-2019	27,398.0	27,421.7
Aug-2019	27,540.4	27,505.7
Sep-2019	27,562.9	27,595.0
Oct-2019	27,685.9	27,678.5
Nov-2019	27,695.7	27,751.2
Dec-2019	27,966.7	27,812.1
Jan-2020	27,835.5	27,868.3
Feb-2020	27,854.8	27,928.6
Mar-2020	29,917.5
Apr-2020	24,796.3
May-2020	28,784.4
Jun-2020	29,637.8
Jul-2020	30,760.0
Aug-2020	29,479.0
Sep-2020	29,112.1
Oct-2020	29,711.6
Nov-2020	31,250.1
Dec-2020	30,930.0
Jan-2021	30,773.8
Feb-2021	30,389.1
Mar-2021	30,611.8
Apr-2021	30,924.4
May-2021	30,981.4
Jun-2021	30,569.9
Jul-2021	29,782.6
Aug-2021	29,204.6
Sep-2021	29,705.4
Oct-2021	31,210.3
Nov-2021	32,870.2
Dec-2021	32,549.4
Jan-2022	32,817.7
Feb-2022	33,141.2
Mar-2022	33,533.3
Apr-2022	33,849.4
May-2022	34,029.7
Jun-2022	34,404.9
Jul-2022	34,641.4	34,621.9
Aug-2022	34,828.6	34,830.0
Sep-2022	34,956.9	34,995.4
Oct-2022	35,167.8	35,118.0
Nov-2022	35,332.1	35,197.5
Dec-2022	35,055.1	35,248.5
Jan-2023	35,338.9	35,282.4
Feb-2023	35,276.6	35,301.5
Mar-2023	35,359.2	35,306.4
Apr-2023	35,264.1	35,307.5
May-2023	35,440.0	35,306.6
Jun-2023	35,208.5	35,329.6
Jul-2023	35,317.5	35,384.7
Aug-2023	35,403.6	35,467.6
Sep-2023	35,657.7	35,558.9
Oct-2023	35,560.8	35,640.4
Nov-2023	36,087.1	35,693.1
Dec-2023	35,361.1	35,712.4
Jan-2024	35,734.3	35,712.3
Feb-2024	35,818.2	35,711.9
Mar-2024	35,667.1	35,711.5
Apr-2024	35,713.9	35,714.1

Total retail turnover - level, current prices

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

[["Apr-2019","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","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","Aug-2023","Sep-2023","Oct-2023","Nov-2023","Dec-2023","Jan-2024","Feb-2024","Mar-2024","Apr-2024"],[[27177.400000000001],[27290.400000000001],[27389.5],[27398],[27540.400000000001],[27562.900000000001],[27685.900000000001],[27695.700000000001],[27966.700000000001],[27835.5],[27854.799999999999],[29917.5],[24796.299999999999],[28784.400000000001],[29637.799999999999],[30760],[29479],[29112.099999999999],[29711.599999999999],[31250.099999999999],[30930],[30773.799999999999],[30389.099999999999],[30611.799999999999],[30924.400000000001],[30981.400000000001],[30569.900000000001],[29782.599999999999],[29204.599999999999],[29705.400000000001],[31210.299999999999],[32870.199999999997],[32549.400000000001],[32817.699999999997],[33141.199999999997],[33533.300000000003],[33849.400000000001],[34029.699999999997],[34404.900000000001],[34641.400000000001],[34828.599999999999],[34956.900000000001],[35167.800000000003],[35332.099999999999],[35055.099999999999],[35338.900000000001],[35276.599999999999],[35359.199999999997],[35264.099999999999],[35440],[35208.5],[35317.5],[35403.599999999999],[35657.699999999997],[35560.800000000003],[36087.099999999999],[35361.099999999999],[35734.300000000003],[35818.199999999997],[35667.099999999999],[35713.900000000001]],[[27277.299999999999],[27307.799999999999],[27353],[27421.700000000001],[27505.700000000001],[27595],[27678.5],[27751.200000000001],[27812.099999999999],[27868.299999999999],[27928.599999999999],[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],[34621.900000000001],[34830],[34995.400000000001],[35118],[35197.5],[35248.5],[35282.400000000001],[35301.5],[35306.400000000001],[35307.5],[35306.599999999999],[35329.599999999999],[35384.699999999997],[35467.599999999999],[35558.900000000001],[35640.400000000001],[35693.099999999999],[35712.400000000001],[35712.300000000003],[35711.900000000001],[35711.5],[35714.099999999999]]]

[]

{"0":{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"3","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":null},"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	-0.5
Household goods retailing	0.7
Clothing, footwear and personal accessory retailing	-0.7
Department stores	0.1
Other retailing	1.6
Cafes, restaurants and takeaway food services	0.3
Total	0.1

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"],[[-0.5],[0.69999999999999996],[-0.69999999999999996],[0.10000000000000001],[1.6000000000000001],[0.29999999999999999],[0.10000000000000001]]]

[]

[{"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":"2","tick_interval":"0.5","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	-0.4
Queensland	-0.2
South Australia	0.5
Western Australia	0.0
Tasmania	0.0
Northern Territory	0.0
Australian Capital Territory	-0.3
Total	0.1

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],[-0.40000000000000002],[-0.20000000000000001],[0.5],[0],[0],[0],[-0.29999999999999999],[0.10000000000000001]]]

[]

[{"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":"-0.6","axis_max":"0.8","tick_interval":"0.2","precision":"1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":false}]

Analysis by industry

Food retailing

Food retailing fell 0.5% (-$77.1m) in April, in seasonally adjusted terms.

Food retailing
Month	Seasonally adjusted ($m)	Trend ($m)
Apr-2019	11,194.7	11,212.6
May-2019	11,211.6	11,208.0
Jun-2019	11,182.7	11,209.4
Jul-2019	11,221.1	11,222.4
Aug-2019	11,246.8	11,254.2
Sep-2019	11,292.6	11,307.5
Oct-2019	11,391.4	11,370.6
Nov-2019	11,397.3	11,437.3
Dec-2019	11,525.7	11,498.8
Jan-2020	11,520.8	11,543.5
Feb-2020	11,574.9	11,577.5
Mar-2020	14,290.6
Apr-2020	11,843.5
May-2020	12,629.0
Jun-2020	12,707.9
Jul-2020	12,913.1
Aug-2020	12,873.4
Sep-2020	12,719.8
Oct-2020	12,749.0
Nov-2020	12,684.6
Dec-2020	12,756.3
Jan-2021	12,742.1
Feb-2021	12,392.6
Mar-2021	12,253.6
Apr-2021	12,349.9
May-2021	12,481.8
Jun-2021	12,708.5
Jul-2021	12,917.9
Aug-2021	13,218.0
Sep-2021	13,086.7
Oct-2021	13,020.7
Nov-2021	12,650.4
Dec-2021	13,140.2
Jan-2022	13,322.2
Feb-2022	12,933.7
Mar-2022	12,933.0
Apr-2022	13,139.2
May-2022	13,184.9
Jun-2022	13,259.3
Jul-2022	13,348.5	13,362.8
Aug-2022	13,475.4	13,472.1
Sep-2022	13,581.9	13,586.2
Oct-2022	13,692.6	13,703.9
Nov-2022	13,747.0	13,815.0
Dec-2022	14,027.4	13,904.1
Jan-2023	13,972.1	13,964.8
Feb-2023	13,974.1	13,996.7
Mar-2023	14,021.3	14,004.4
Apr-2023	13,971.8	13,996.4
May-2023	13,979.7	13,987.0
Jun-2023	14,009.0	13,986.7
Jul-2023	13,983.7	14,001.4
Aug-2023	13,997.4	14,030.0
Sep-2023	14,060.1	14,070.4
Oct-2023	14,153.5	14,118.1
Nov-2023	14,143.5	14,164.1
Dec-2023	14,242.5	14,202.8
Jan-2024	14,242.7	14,231.2
Feb-2024	14,205.9	14,253.0
Mar-2024	14,323.0	14,270.9
Apr-2024	14,245.9	14,282.7

Food retailing

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

[["Apr-2019","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","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","Aug-2023","Sep-2023","Oct-2023","Nov-2023","Dec-2023","Jan-2024","Feb-2024","Mar-2024","Apr-2024"],[[11194.700000000001],[11211.6],[11182.700000000001],[11221.1],[11246.799999999999],[11292.6],[11391.4],[11397.299999999999],[11525.700000000001],[11520.799999999999],[11574.9],[14290.6],[11843.5],[12629],[12707.9],[12913.1],[12873.4],[12719.799999999999],[12749],[12684.6],[12756.299999999999],[12742.1],[12392.6],[12253.6],[12349.9],[12481.799999999999],[12708.5],[12917.9],[13218],[13086.700000000001],[13020.700000000001],[12650.4],[13140.200000000001],[13322.200000000001],[12933.700000000001],[12933],[13139.200000000001],[13184.9],[13259.299999999999],[13348.5],[13475.4],[13581.9],[13692.6],[13747],[14027.4],[13972.1],[13974.1],[14021.299999999999],[13971.799999999999],[13979.700000000001],[14009],[13983.700000000001],[13997.4],[14060.1],[14153.5],[14143.5],[14242.5],[14242.700000000001],[14205.9],[14323],[14245.9]],[[11212.6],[11208],[11209.4],[11222.4],[11254.200000000001],[11307.5],[11370.6],[11437.299999999999],[11498.799999999999],[11543.5],[11577.5],[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],[13362.799999999999],[13472.1],[13586.200000000001],[13703.9],[13815],[13904.1],[13964.799999999999],[13996.700000000001],[14004.4],[13996.4],[13987],[13986.700000000001],[14001.4],[14030],[14070.4],[14118.1],[14164.1],[14202.799999999999],[14231.200000000001],[14253],[14270.9],[14282.700000000001]]]

[]

{"0":{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"3","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":null},"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 0.7% ($37.7m) in April, in seasonally adjusted terms.

Household goods retailing
Month	Seasonally adjusted ($m)	Trend ($m)
Apr-2019	4,516.8	4,552.3
May-2019	4,557.0	4,559.9
Jun-2019	4,582.7	4,574.5
Jul-2019	4,606.6	4,593.5
Aug-2019	4,619.0	4,614.5
Sep-2019	4,619.7	4,632.6
Oct-2019	4,645.6	4,645.3
Nov-2019	4,647.2	4,653.8
Dec-2019	4,701.8	4,659.7
Jan-2020	4,648.7	4,663.2
Feb-2020	4,639.0	4,666.5
Mar-2020	4,993.3
Apr-2020	5,048.1
May-2020	5,847.5
Jun-2020	5,692.3
Jul-2020	5,995.6
Aug-2020	5,583.4
Sep-2020	5,360.2
Oct-2020	5,384.4
Nov-2020	5,900.6
Dec-2020	5,586.9
Jan-2021	5,564.1
Feb-2021	5,528.0
Mar-2021	5,503.8
Apr-2021	5,598.5
May-2021	5,535.3
Jun-2021	5,503.7
Jul-2021	5,422.0
Aug-2021	5,241.3
Sep-2021	5,471.1
Oct-2021	5,727.0
Nov-2021	6,255.8
Dec-2021	5,900.0
Jan-2022	5,917.0
Feb-2022	5,969.6
Mar-2022	6,139.3
Apr-2022	6,024.8
May-2022	6,012.8
Jun-2022	6,033.0
Jul-2022	6,004.8	6,041.8
Aug-2022	6,107.6	6,048.0
Sep-2022	6,048.5	6,048.2
Oct-2022	6,057.9	6,032.4
Nov-2022	6,121.8	5,993.6
Dec-2022	5,832.5	5,937.9
Jan-2023	5,849.1	5,876.5
Feb-2023	5,833.7	5,822.3
Mar-2023	5,796.7	5,782.7
Apr-2023	5,732.6	5,759.8
May-2023	5,753.9	5,743.8
Jun-2023	5,771.0	5,742.1
Jul-2023	5,748.4	5,756.4
Aug-2023	5,714.7	5,786.8
Sep-2023	5,820.0	5,820.2
Oct-2023	5,771.7	5,840.1
Nov-2023	6,144.9	5,834.7
Dec-2023	5,646.6	5,803.7
Jan-2024	5,749.3	5,755.2
Feb-2024	5,694.9	5,703.5
Mar-2024	5,615.4	5,655.2
Apr-2024	5,653.1	5,609.9

Household goods retailing

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

[["Apr-2019","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","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","Aug-2023","Sep-2023","Oct-2023","Nov-2023","Dec-2023","Jan-2024","Feb-2024","Mar-2024","Apr-2024"],[[4516.8000000000002],[4557],[4582.6999999999998],[4606.6000000000004],[4619],[4619.6999999999998],[4645.6000000000004],[4647.1999999999998],[4701.8000000000002],[4648.6999999999998],[4639],[4993.3000000000002],[5048.1000000000004],[5847.5],[5692.3000000000002],[5995.6000000000004],[5583.3999999999996],[5360.1999999999998],[5384.3999999999996],[5900.6000000000004],[5586.8999999999996],[5564.1000000000004],[5528],[5503.8000000000002],[5598.5],[5535.3000000000002],[5503.6999999999998],[5422],[5241.3000000000002],[5471.1000000000004],[5727],[6255.8000000000002],[5900],[5917],[5969.6000000000004],[6139.3000000000002],[6024.8000000000002],[6012.8000000000002],[6033],[6004.8000000000002],[6107.6000000000004],[6048.5],[6057.8999999999996],[6121.8000000000002],[5832.5],[5849.1000000000004],[5833.6999999999998],[5796.6999999999998],[5732.6000000000004],[5753.8999999999996],[5771],[5748.3999999999996],[5714.6999999999998],[5820],[5771.6999999999998],[6144.8999999999996],[5646.6000000000004],[5749.3000000000002],[5694.8999999999996],[5615.3999999999996],[5653.1000000000004]],[[4552.3000000000002],[4559.8999999999996],[4574.5],[4593.5],[4614.5],[4632.6000000000004],[4645.3000000000002],[4653.8000000000002],[4659.6999999999998],[4663.1999999999998],[4666.5],[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],[6041.8000000000002],[6048],[6048.1999999999998],[6032.3999999999996],[5993.6000000000004],[5937.8999999999996],[5876.5],[5822.3000000000002],[5782.6999999999998],[5759.8000000000002],[5743.8000000000002],[5742.1000000000004],[5756.3999999999996],[5786.8000000000002],[5820.1999999999998],[5840.1000000000004],[5834.6999999999998],[5803.6999999999998],[5755.1999999999998],[5703.5],[5655.1999999999998],[5609.8999999999996]]]

[]

{"0":{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"3","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":null},"reverse_axis":false}

[{"value":"0","axis_id":"0","axis_title":"$m","axis_units":"","tooltip_units":"(m)","table_units":"($m)","axis_min":"4000","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 0.7% (-$19.5m) in April, in seasonally adjusted terms.

Clothing, footwear and personal accessory retailing
Month	Seasonally adjusted ($m)	Trend ($m)
Apr-2019	2,124.4	2,145.9
May-2019	2,146.2	2,157.6
Jun-2019	2,182.5	2,168.6
Jul-2019	2,169.1	2,177.7
Aug-2019	2,210.0	2,184.9
Sep-2019	2,185.0	2,190.8
Oct-2019	2,174.5	2,189.5
Nov-2019	2,172.1	2,184.4
Dec-2019	2,202.6	2,174.2
Jan-2020	2,176.4	2,158.8
Feb-2020	2,106.3	2,142.7
Mar-2020	1,601.1
Apr-2020	751.9
May-2020	1,727.1
Jun-2020	2,095.0
Jul-2020	2,254.2
Aug-2020	1,998.7
Sep-2020	1,968.2
Oct-2020	2,120.7
Nov-2020	2,511.2
Dec-2020	2,452.8
Jan-2021	2,351.5
Feb-2021	2,382.1
Mar-2021	2,480.4
Apr-2021	2,527.0
May-2021	2,534.2
Jun-2021	2,304.6
Jul-2021	1,977.7
Aug-2021	1,632.1
Sep-2021	1,757.4
Oct-2021	2,224.8
Nov-2021	2,880.8
Dec-2021	2,630.0
Jan-2022	2,539.0
Feb-2022	2,798.6
Mar-2022	2,834.6
Apr-2022	2,887.0
May-2022	2,881.9
Jun-2022	2,950.8
Jul-2022	2,979.1	2,960.8
Aug-2022	2,956.4	2,976.6
Sep-2022	2,989.9	2,981.1
Oct-2022	2,986.3	2,976.8
Nov-2022	3,017.1	2,968.1
Dec-2022	2,868.2	2,961.4
Jan-2023	2,987.8	2,960.3
Feb-2023	2,962.6	2,963.2
Mar-2023	2,958.9	2,967.7
Apr-2023	3,001.4	2,973.5
May-2023	2,993.9	2,977.2
Jun-2023	2,941.8	2,981.0
Jul-2023	2,969.0	2,983.9
Aug-2023	2,995.7	2,983.2
Sep-2023	3,014.9	2,978.2
Oct-2023	2,957.7	2,973.3
Nov-2023	3,015.2	2,969.5
Dec-2023	2,867.5	2,966.2
Jan-2024	2,939.9	2,965.2
Feb-2024	3,085.9	2,965.6
Mar-2024	2,944.7	2,964.4
Apr-2024	2,925.2	2,963.9

Clothing, footwear and personal accessory retailing

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

[["Apr-2019","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","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","Aug-2023","Sep-2023","Oct-2023","Nov-2023","Dec-2023","Jan-2024","Feb-2024","Mar-2024","Apr-2024"],[[2124.4000000000001],[2146.1999999999998],[2182.5],[2169.0999999999999],[2210],[2185],[2174.5],[2172.0999999999999],[2202.5999999999999],[2176.4000000000001],[2106.3000000000002],[1601.0999999999999],[751.89999999999998],[1727.0999999999999],[2095],[2254.1999999999998],[1998.7],[1968.2],[2120.6999999999998],[2511.1999999999998],[2452.8000000000002],[2351.5],[2382.0999999999999],[2480.4000000000001],[2527],[2534.1999999999998],[2304.5999999999999],[1977.7],[1632.0999999999999],[1757.4000000000001],[2224.8000000000002],[2880.8000000000002],[2630],[2539],[2798.5999999999999],[2834.5999999999999],[2887],[2881.9000000000001],[2950.8000000000002],[2979.0999999999999],[2956.4000000000001],[2989.9000000000001],[2986.3000000000002],[3017.0999999999999],[2868.1999999999998],[2987.8000000000002],[2962.5999999999999],[2958.9000000000001],[3001.4000000000001],[2993.9000000000001],[2941.8000000000002],[2969],[2995.6999999999998],[3014.9000000000001],[2957.6999999999998],[3015.1999999999998],[2867.5],[2939.9000000000001],[3085.9000000000001],[2944.6999999999998],[2925.1999999999998]],[[2145.9000000000001],[2157.5999999999999],[2168.5999999999999],[2177.6999999999998],[2184.9000000000001],[2190.8000000000002],[2189.5],[2184.4000000000001],[2174.1999999999998],[2158.8000000000002],[2142.6999999999998],[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],[2960.8000000000002],[2976.5999999999999],[2981.0999999999999],[2976.8000000000002],[2968.0999999999999],[2961.4000000000001],[2960.3000000000002],[2963.1999999999998],[2967.6999999999998],[2973.5],[2977.1999999999998],[2981],[2983.9000000000001],[2983.1999999999998],[2978.1999999999998],[2973.3000000000002],[2969.5],[2966.1999999999998],[2965.1999999999998],[2965.5999999999999],[2964.4000000000001],[2963.9000000000001]]]

[]

{"0":{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"3","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":null},"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 0.1% ($1.3m) in April, in seasonally adjusted terms.

Department stores
Month	Seasonally adjusted ($m)	Trend ($m)
Apr-2019	1,565.6	1,559.5
May-2019	1,574.9	1,562.6
Jun-2019	1,569.9	1,565.0
Jul-2019	1,549.6	1,567.7
Aug-2019	1,574.6	1,570.2
Sep-2019	1,576.3	1,572.7
Oct-2019	1,571.6	1,575.2
Nov-2019	1,580.9	1,578.3
Dec-2019	1,591.6	1,581.5
Jan-2020	1,565.7	1,583.0
Feb-2020	1,586.9	1,583.7
Mar-2020	1,426.1
Apr-2020	1,241.0
May-2020	1,750.9
Jun-2020	1,575.3
Jul-2020	1,630.3
Aug-2020	1,469.9
Sep-2020	1,468.6
Oct-2020	1,589.1
Nov-2020	1,808.8
Dec-2020	1,702.1
Jan-2021	1,677.2
Feb-2021	1,672.6
Mar-2021	1,787.8
Apr-2021	1,711.6
May-2021	1,670.4
Jun-2021	1,568.4
Jul-2021	1,394.7
Aug-2021	1,221.7
Sep-2021	1,235.0
Oct-2021	1,525.0
Nov-2021	1,801.5
Dec-2021	1,582.8
Jan-2022	1,629.7
Feb-2022	1,752.4
Mar-2022	1,801.1
Apr-2022	1,800.3
May-2022	1,838.8
Jun-2022	1,851.3
Jul-2022	1,870.1	1,872.0
Aug-2022	1,895.4	1,884.7
Sep-2022	1,887.5	1,886.2
Oct-2022	1,897.2	1,881.0
Nov-2022	1,909.5	1,873.6
Dec-2022	1,772.8	1,871.4
Jan-2023	1,902.6	1,874.6
Feb-2023	1,882.3	1,880.7
Mar-2023	1,894.4	1,884.9
Apr-2023	1,916.1	1,884.7
May-2023	1,897.2	1,879.5
Jun-2023	1,813.5	1,875.1
Jul-2023	1,876.1	1,876.7
Aug-2023	1,879.5	1,885.5
Sep-2023	1,916.8	1,895.9
Oct-2023	1,898.4	1,904.3
Nov-2023	1,969.0	1,906.9
Dec-2023	1,845.7	1,902.9
Jan-2024	1,880.8	1,897.8
Feb-2024	1,922.8	1,894.5
Mar-2024	1,890.4	1,892.4
Apr-2024	1,891.7	1,891.9

Department stores

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

[["Apr-2019","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","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","Aug-2023","Sep-2023","Oct-2023","Nov-2023","Dec-2023","Jan-2024","Feb-2024","Mar-2024","Apr-2024"],[[1565.5999999999999],[1574.9000000000001],[1569.9000000000001],[1549.5999999999999],[1574.5999999999999],[1576.3],[1571.5999999999999],[1580.9000000000001],[1591.5999999999999],[1565.7],[1586.9000000000001],[1426.0999999999999],[1241],[1750.9000000000001],[1575.3],[1630.3],[1469.9000000000001],[1468.5999999999999],[1589.0999999999999],[1808.8],[1702.0999999999999],[1677.2],[1672.5999999999999],[1787.8],[1711.5999999999999],[1670.4000000000001],[1568.4000000000001],[1394.7],[1221.7],[1235],[1525],[1801.5],[1582.8],[1629.7],[1752.4000000000001],[1801.0999999999999],[1800.3],[1838.8],[1851.3],[1870.0999999999999],[1895.4000000000001],[1887.5],[1897.2],[1909.5],[1772.8],[1902.5999999999999],[1882.3],[1894.4000000000001],[1916.0999999999999],[1897.2],[1813.5],[1876.0999999999999],[1879.5],[1916.8],[1898.4000000000001],[1969],[1845.7],[1880.8],[1922.8],[1890.4000000000001],[1891.7]],[[1559.5],[1562.5999999999999],[1565],[1567.7],[1570.2],[1572.7],[1575.2],[1578.3],[1581.5],[1583],[1583.7],[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],[1872],[1884.7],[1886.2],[1881],[1873.5999999999999],[1871.4000000000001],[1874.5999999999999],[1880.7],[1884.9000000000001],[1884.7],[1879.5],[1875.0999999999999],[1876.7],[1885.5],[1895.9000000000001],[1904.3],[1906.9000000000001],[1902.9000000000001],[1897.8],[1894.5],[1892.4000000000001],[1891.9000000000001]]]

[]

{"0":{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"3","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":null},"reverse_axis":false}

[{"value":"0","axis_id":"0","axis_title":"$m","axis_units":"","tooltip_units":"(m)","table_units":"($m)","axis_min":"1000","axis_max":"2000","tick_interval":"200","precision":"1","data_unit_prefix":"$","data_unit_suffix":"","reverse_axis":false}]

Other retailing

Other retailing rose 1.6% ($87.7m) in April, in seasonally adjusted terms.

Other retailing
Month	Seasonally adjusted ($m)	Trend ($m)
Apr-2019	3,907.1	3,915.1
May-2019	3,931.1	3,933.7
Jun-2019	3,967.1	3,956.9
Jul-2019	3,965.3	3,974.7
Aug-2019	4,003.5	3,984.6
Sep-2019	3,994.6	3,990.4
Oct-2019	3,999.3	3,986.1
Nov-2019	3,942.8	3,979.5
Dec-2019	3,992.4	3,966.1
Jan-2020	3,966.4	3,961.4
Feb-2020	3,990.8	3,958.9
Mar-2020	4,590.7
Apr-2020	3,960.5
May-2020	4,304.9
Jun-2020	4,328.6
Jul-2020	4,561.1
Aug-2020	4,339.6
Sep-2020	4,296.1
Oct-2020	4,389.3
Nov-2020	4,625.4
Dec-2020	4,555.4
Jan-2021	4,566.7
Feb-2021	4,546.8
Mar-2021	4,578.0
Apr-2021	4,636.2
May-2021	4,652.9
Jun-2021	4,630.4
Jul-2021	4,671.7
Aug-2021	4,714.7
Sep-2021	4,819.4
Oct-2021	4,937.1
Nov-2021	5,162.4
Dec-2021	5,138.2
Jan-2022	5,266.9
Feb-2022	5,201.8
Mar-2022	5,282.9
Apr-2022	5,311.7
May-2022	5,348.4
Jun-2022	5,416.5
Jul-2022	5,488.5	5,414.8
Aug-2022	5,381.3	5,415.7
Sep-2022	5,368.0	5,405.9
Oct-2022	5,402.7	5,392.5
Nov-2022	5,407.3	5,378.3
Dec-2022	5,332.1	5,369.5
Jan-2023	5,382.1	5,367.8
Feb-2023	5,369.3	5,368.9
Mar-2023	5,364.8	5,369.2
Apr-2023	5,339.7	5,371.8
May-2023	5,458.8	5,376.9
Jun-2023	5,346.3	5,384.4
Jul-2023	5,358.4	5,393.4
Aug-2023	5,411.0	5,406.1
Sep-2023	5,461.7	5,422.2
Oct-2023	5,422.4	5,440.1
Nov-2023	5,464.7	5,459.3
Dec-2023	5,445.6	5,477.8
Jan-2024	5,537.8	5,495.9
Feb-2024	5,508.9	5,516.2
Mar-2024	5,503.7	5,537.0
Apr-2024	5,591.4	5,560.7

Other retailing

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

[["Apr-2019","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","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","Aug-2023","Sep-2023","Oct-2023","Nov-2023","Dec-2023","Jan-2024","Feb-2024","Mar-2024","Apr-2024"],[[3907.0999999999999],[3931.0999999999999],[3967.0999999999999],[3965.3000000000002],[4003.5],[3994.5999999999999],[3999.3000000000002],[3942.8000000000002],[3992.4000000000001],[3966.4000000000001],[3990.8000000000002],[4590.6999999999998],[3960.5],[4304.8999999999996],[4328.6000000000004],[4561.1000000000004],[4339.6000000000004],[4296.1000000000004],[4389.3000000000002],[4625.3999999999996],[4555.3999999999996],[4566.6999999999998],[4546.8000000000002],[4578],[4636.1999999999998],[4652.8999999999996],[4630.3999999999996],[4671.6999999999998],[4714.6999999999998],[4819.3999999999996],[4937.1000000000004],[5162.3999999999996],[5138.1999999999998],[5266.8999999999996],[5201.8000000000002],[5282.8999999999996],[5311.6999999999998],[5348.3999999999996],[5416.5],[5488.5],[5381.3000000000002],[5368],[5402.6999999999998],[5407.3000000000002],[5332.1000000000004],[5382.1000000000004],[5369.3000000000002],[5364.8000000000002],[5339.6999999999998],[5458.8000000000002],[5346.3000000000002],[5358.3999999999996],[5411],[5461.6999999999998],[5422.3999999999996],[5464.6999999999998],[5445.6000000000004],[5537.8000000000002],[5508.8999999999996],[5503.6999999999998],[5591.3999999999996]],[[3915.0999999999999],[3933.6999999999998],[3956.9000000000001],[3974.6999999999998],[3984.5999999999999],[3990.4000000000001],[3986.0999999999999],[3979.5],[3966.0999999999999],[3961.4000000000001],[3958.9000000000001],[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],[5414.8000000000002],[5415.6999999999998],[5405.8999999999996],[5392.5],[5378.3000000000002],[5369.5],[5367.8000000000002],[5368.8999999999996],[5369.1999999999998],[5371.8000000000002],[5376.8999999999996],[5384.3999999999996],[5393.3999999999996],[5406.1000000000004],[5422.1999999999998],[5440.1000000000004],[5459.3000000000002],[5477.8000000000002],[5495.8999999999996],[5516.1999999999998],[5537],[5560.6999999999998]]]

[]

{"0":{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"3","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":null},"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 0.3% ($16.6m) in April, in seasonally adjusted terms.

Cafes, restaurants and takeaway food services
Month	Seasonally adjusted ($m)	Trend ($m)
Apr-2019	3,868.7	3,887.2
May-2019	3,869.5	3,883.8
Jun-2019	3,904.5	3,883.2
Jul-2019	3,886.2	3,886.7
Aug-2019	3,886.5	3,893.4
Sep-2019	3,894.8	3,903.8
Oct-2019	3,903.6	3,916.0
Nov-2019	3,955.4	3,931.0
Dec-2019	3,952.6	3,945.6
Jan-2020	3,957.4	3,959.2
Feb-2020	3,956.9	3,973.5
Mar-2020	3,015.7
Apr-2020	1,951.3
May-2020	2,525.1
Jun-2020	3,238.8
Jul-2020	3,405.8
Aug-2020	3,213.9
Sep-2020	3,299.3
Oct-2020	3,479.1
Nov-2020	3,719.5
Dec-2020	3,876.5
Jan-2021	3,872.2
Feb-2021	3,867.1
Mar-2021	4,008.2
Apr-2021	4,101.1
May-2021	4,106.8
Jun-2021	3,854.4
Jul-2021	3,398.5
Aug-2021	3,176.7
Sep-2021	3,335.8
Oct-2021	3,775.7
Nov-2021	4,119.3
Dec-2021	4,158.2
Jan-2022	4,142.9
Feb-2022	4,485.1
Mar-2022	4,542.4
Apr-2022	4,686.4
May-2022	4,763.0
Jun-2022	4,894.0
Jul-2022	4,950.4	4,946.8
Aug-2022	5,012.4	5,017.3
Sep-2022	5,081.1	5,073.8
Oct-2022	5,131.1	5,121.8
Nov-2022	5,129.3	5,164.6
Dec-2022	5,222.2	5,204.1
Jan-2023	5,245.3	5,240.3
Feb-2023	5,254.6	5,271.1
Mar-2023	5,323.1	5,297.6
Apr-2023	5,302.4	5,321.2
May-2023	5,356.4	5,342.1
Jun-2023	5,326.8	5,360.4
Jul-2023	5,382.0	5,372.9
Aug-2023	5,405.3	5,376.2
Sep-2023	5,384.1	5,372.0
Oct-2023	5,357.0	5,364.5
Nov-2023	5,349.7	5,358.6
Dec-2023	5,313.3	5,359.1
Jan-2024	5,383.7	5,367.0
Feb-2024	5,399.9	5,379.1
Mar-2024	5,390.0	5,391.8
Apr-2024	5,406.6	5,405.8

Cafes, restaurants and takeaway food services

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

[["Apr-2019","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","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","Aug-2023","Sep-2023","Oct-2023","Nov-2023","Dec-2023","Jan-2024","Feb-2024","Mar-2024","Apr-2024"],[[3868.6999999999998],[3869.5],[3904.5],[3886.1999999999998],[3886.5],[3894.8000000000002],[3903.5999999999999],[3955.4000000000001],[3952.5999999999999],[3957.4000000000001],[3956.9000000000001],[3015.6999999999998],[1951.3],[2525.0999999999999],[3238.8000000000002],[3405.8000000000002],[3213.9000000000001],[3299.3000000000002],[3479.0999999999999],[3719.5],[3876.5],[3872.1999999999998],[3867.0999999999999],[4008.1999999999998],[4101.1000000000004],[4106.8000000000002],[3854.4000000000001],[3398.5],[3176.6999999999998],[3335.8000000000002],[3775.6999999999998],[4119.3000000000002],[4158.1999999999998],[4142.8999999999996],[4485.1000000000004],[4542.3999999999996],[4686.3999999999996],[4763],[4894],[4950.3999999999996],[5012.3999999999996],[5081.1000000000004],[5131.1000000000004],[5129.3000000000002],[5222.1999999999998],[5245.3000000000002],[5254.6000000000004],[5323.1000000000004],[5302.3999999999996],[5356.3999999999996],[5326.8000000000002],[5382],[5405.3000000000002],[5384.1000000000004],[5357],[5349.6999999999998],[5313.3000000000002],[5383.6999999999998],[5399.8999999999996],[5390],[5406.6000000000004]],[[3887.1999999999998],[3883.8000000000002],[3883.1999999999998],[3886.6999999999998],[3893.4000000000001],[3903.8000000000002],[3916],[3931],[3945.5999999999999],[3959.1999999999998],[3973.5],[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],[4946.8000000000002],[5017.3000000000002],[5073.8000000000002],[5121.8000000000002],[5164.6000000000004],[5204.1000000000004],[5240.3000000000002],[5271.1000000000004],[5297.6000000000004],[5321.1999999999998],[5342.1000000000004],[5360.3999999999996],[5372.8999999999996],[5376.1999999999998],[5372],[5364.5],[5358.6000000000004],[5359.1000000000004],[5367],[5379.1000000000004],[5391.8000000000002],[5405.8000000000002]]]

[]

{"0":{"value":"0","axis_id":"0","axis_title":"","axis_units":"","tooltip_units":"","table_units":"","axis_min":null,"axis_max":null,"tick_interval":"3","precision":"-1","data_unit_prefix":"","data_unit_suffix":"","reverse_axis":null},"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}]

Data downloads

Tables 1 to 4 have been released on 28 May 2024. Tables 5 through to 23 will be released on 4 June 2024.

Download all (522.25 KB)

Time series spreadsheets

Data files

Table 1. Retail turnover, by industry group
Download xlsx [134.24 KB]
Table 2. Retail turnover, by industry group - percentage change from previous month
Download xlsx [114.58 KB]
Table 3. Retail turnover, by state
Download xlsx [162.76 KB]
Table 4. Retail turnover, by state - percentage change from previous month
Download xlsx [137.12 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

Upcoming changes to the Retail Trade, Australia release schedule

Future cessation of the Retail Business Survey and Retail Trade Publication

Changes in this issue

Seasonality in retail turnover

Trend series

Differences between Retail Trade and other Economic Indicators

Monthly Household Spending Indicator

The ABS first released the Monthly Household Spending Indicator on Tuesday 22 February 2022. Enhancements to the Monthly Household Spending Indicator (MHSI) will enable the Australian Bureau of Statistics (ABS) to cease publication of Retail Trade, Australia in August 2025, providing users with a more comprehensive view on household consumption.

The 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.

Monthly Business Turnover Indicator

The ABS first released the Monthly Business Turnover Indicator on Friday 15 October 2021 and 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.

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

APA