Online sales, December 2020 - Supplementary COVID-19 analysis

To enhance the understanding of the economic impacts of COVID-19, additional analysis of online sales in the retail series was undertaken.

Released

5/02/2021

Source

Retail Trade, Australia, December 2020

The Retail Trade survey has been collecting online sales since the March quarter 2013. The Online series is published as grouped industry split; a Food group (including the Food retailing, and Cafes, restaurants and takeaway food services), and a Non-food group (all other industries). Due to the limitations of online data collection, a finer split by industry is not possible at this stage.

Online sales have become increasingly popular during the coronavirus pandemic. Restrictions placed on the operation of physical retail stores saw both businesses and consumers turn to online retailing.

It is worth noting that retailers have had to adapt sales channels very quickly during the pandemic, and it is possible that the value of online purchases has been under-reported since April 2020. Importantly, total retail sales will not be under-reported.

The Online series remains experimental, and caution should be used in interpreting the results, especially during this volatile period.

Total online retail

The total online series fell 1.5% in seasonally adjusted month-on-month terms in December 2020, following a fall of 1.4% in November, and a fall of 0.7% in October 2020.

Despite four consecutive falls in seasonally adjusted terms, the series has maintained a new level following large rises in March and April 2020 at the outset of the COVID-19 pandemic as customers complied with social distancing regulations, and rises in July and August when Victoria entered a second lockdown.

Total online, original and seasonally adjusted
	Original ($m)	Seasonally Adjusted ($m)
Dec-14	863.2	690.2
Jan-15	665.5	708.3
Feb-15	615.5	719.2
Mar-15	719.4	750.8
Apr-15	697.1	752.8
May-15	740.1	763.7
Jun-15	790.5	789.1
Jul-15	750.9	773.9
Aug-15	760.8	794
Sep-15	794.6	797.2
Oct-15	789.3	762.8
Nov-15	892.7	777.8
Dec-15	998.9	806.1
Jan-16	780.6	842.5
Feb-16	732.2	822.4
Mar-16	810.6	835.7
Apr-16	771.4	854.1
May-16	840.4	858.9
Jun-16	904.1	885.3
Jul-16	827.3	875.1
Aug-16	871.8	896.7
Sep-16	923.8	928.7
Oct-16	986	956.4
Nov-16	1,108.8	956.7
Dec-16	1,265.1	1,028.3
Jan-17	903	976.3
Feb-17	825.4	964.8
Mar-17	939.1	964.9
Apr-17	862	946.6
May-17	1,000.7	1,007
Jun-17	1,039.3	1,033.2
Jul-17	1,048.2	1,092.8
Aug-17	1,133.8	1,156.7
Sep-17	1,109.3	1,140.9
Oct-17	1,234.8	1,199.8
Nov-17	1,510.6	1,266.4
Dec-17	1,601.8	1,323.8
Jan-18	1,229.4	1,332.6
Feb-18	1,201.2	1,410.7
Mar-18	1,360.6	1,431.7
Apr-18	1,351.9	1,459.4
May-18	1,483.5	1,481.6
Jun-18	1,484	1,505.9
Jul-18	1,447.6	1,501.4
Aug-18	1,499	1,502.8
Sep-18	1,485.4	1,523.6
Oct-18	1,621.5	1,573.2
Nov-18	1,929.6	1,629.5
Dec-18	1,950.6	1,616.7
Jan-19	1,520.1	1,654
Feb-19	1,388	1,629.6
Mar-19	1,560.7	1,649.4
Apr-19	1,513.8	1,658.6
May-19	1,693.1	1,662.7
Jun-19	1,659.1	1,675.1
Jul-19	1,680.46	1,730.8
Aug-19	1,737.57	1,756.4
Sep-19	1,758.29	1,779.8
Oct-19	1,867.18	1,812.9
Nov-19	2,118.37	1,815.6
Dec-19	2,306.66	1,927.9
Jan-20	1,712.5	1,846.1
Feb-20	1,675.8	1,920.9
Mar-20	2,069	2,194.2
Apr-20	2,615.4	2,794.8
May-20	2,859.1	2,840.6
Jun-20	2,766.6	2,814.4
Jul-20	2,950.5	2,983.4
Aug-20	3,135.7	3,140.6
Sep-20	3,010	3,102.3
Oct-20	3,157.6	3,081.8
Nov-20	3,632.1	3,037.4
Dec-20	3,548.7	2,992.4

Total online, original and seasonally adjusted

["","Original","Seasonally Adjusted"]

[["Dec-14","Jan-15","Feb-15","Mar-15","Apr-15","May-15","Jun-15","Jul-15","Aug-15","Sep-15","Oct-15","Nov-15","Dec-15","Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","Jul-17","Aug-17","Sep-17","Oct-17","Nov-17","Dec-17","Jan-18","Feb-18","Mar-18","Apr-18","May-18","Jun-18","Jul-18","Aug-18","Sep-18","Oct-18","Nov-18","Dec-18","Jan-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20"],[[863.20000000000005],[665.5],[615.5],[719.39999999999998],[697.10000000000002],[740.10000000000002],[790.5],[750.89999999999998],[760.79999999999995],[794.60000000000002],[789.29999999999995],[892.70000000000005],[998.89999999999998],[780.60000000000002],[732.20000000000005],[810.60000000000002],[771.39999999999998],[840.39999999999998],[904.10000000000002],[827.29999999999995],[871.79999999999995],[923.79999999999995],[986],[1108.8],[1265.0999999999999],[903],[825.39999999999998],[939.10000000000002],[862],[1000.7],[1039.3],[1048.2],[1133.8],[1109.3],[1234.8],[1510.5999999999999],[1601.8],[1229.4000000000001],[1201.2],[1360.5999999999999],[1351.9000000000001],[1483.5],[1484],[1447.5999999999999],[1499],[1485.4000000000001],[1621.5],[1929.5999999999999],[1950.5999999999999],[1520.0999999999999],[1388],[1560.7],[1513.8],[1693.0999999999999],[1659.0999999999999],[1680.46],[1737.5699999999999],[1758.29],[1867.1800000000001],[2118.3699999999999],[2306.6599999999999],[1712.5],[1675.8],[2069],[2615.4000000000001],[2859.0999999999999],[2766.5999999999999],[2950.5],[3135.6999999999998],[3010],[3157.5999999999999],[3632.0999999999999],[3548.6999999999998]],[[690.20000000000005],[708.29999999999995],[719.20000000000005],[750.79999999999995],[752.79999999999995],[763.70000000000005],[789.10000000000002],[773.89999999999998],[794],[797.20000000000005],[762.79999999999995],[777.79999999999995],[806.10000000000002],[842.5],[822.39999999999998],[835.70000000000005],[854.10000000000002],[858.89999999999998],[885.29999999999995],[875.10000000000002],[896.70000000000005],[928.70000000000005],[956.39999999999998],[956.70000000000005],[1028.3],[976.29999999999995],[964.79999999999995],[964.89999999999998],[946.60000000000002],[1007],[1033.2],[1092.8],[1156.7],[1140.9000000000001],[1199.8],[1266.4000000000001],[1323.8],[1332.5999999999999],[1410.7],[1431.7],[1459.4000000000001],[1481.5999999999999],[1505.9000000000001],[1501.4000000000001],[1502.8],[1523.5999999999999],[1573.2],[1629.5],[1616.7],[1654],[1629.5999999999999],[1649.4000000000001],[1658.5999999999999],[1662.7],[1675.0999999999999],[1730.8],[1756.4000000000001],[1779.8],[1812.9000000000001],[1815.5999999999999],[1927.9000000000001],[1846.0999999999999],[1920.9000000000001],[2194.1999999999998],[2794.8000000000002],[2840.5999999999999],[2814.4000000000001],[2983.4000000000001],[3140.5999999999999],[3102.3000000000002],[3081.8000000000002],[3037.4000000000001],[2992.4000000000001]]]

[]

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In through-the-year terms, the seasonally adjusted series rose 55.2% compared to December 2019. While this is much larger than pre-COVID-19 growth, it is lower than November (67.3%) and October (70.0%). In the 12 months from March 2019 to February 2020, total online sales averaged annual growth of 14.7%. Coinciding with the shift to online purchasing at the outset of the COVID-19 pandemic in Australia, total online sales has averaged an annual rise of 65.8% from March to December 2020.

Total online, seasonally adjusted, through-the-year
	Seasonally adjusted (%)
Dec-14	34.7
Jan-15	29.4
Feb-15	23.8
Mar-15	34.8
Apr-15	31.2
May-15	29.3
Jun-15	32.1
Jul-15	25
Aug-15	25.7
Sep-15	22.4
Oct-15	12.5
Nov-15	15.7
Dec-15	16.8
Jan-16	18.9
Feb-16	14.4
Mar-16	11.3
Apr-16	13.5
May-16	12.5
Jun-16	12.2
Jul-16	13.1
Aug-16	12.9
Sep-16	16.5
Oct-16	25.4
Nov-16	23
Dec-16	27.6
Jan-17	15.9
Feb-17	17.3
Mar-17	15.5
Apr-17	10.8
May-17	17.2
Jun-17	16.7
Jul-17	24.9
Aug-17	29
Sep-17	22.8
Oct-17	25.4
Nov-17	32.4
Dec-17	28.7
Jan-18	36.5
Feb-18	46.2
Mar-18	48.4
Apr-18	54.2
May-18	47.1
Jun-18	45.7
Jul-18	37.4
Aug-18	29.9
Sep-18	33.5
Oct-18	31.1
Nov-18	28.7
Dec-18	22.1
Jan-19	24.1
Feb-19	15.5
Mar-19	15.2
Apr-19	13.6
May-19	12.2
Jun-19	11.2
Jul-19	15.3
Aug-19	16.9
Sep-19	16.8
Oct-19	15.2
Nov-19	11.4
Dec-19	19.2
Jan-20	11.6
Feb-20	17.9
Mar-20	33
Apr-20	68.5
May-20	70.8
Jun-20	68
Jul-20	72.4
Aug-20	78.8
Sep-20	74.3
Oct-20	70
Nov-20	67.3
Dec-20	55.2

Total online, seasonally adjusted, through-the-year

["","Seasonally adjusted"]

[["Dec-14","Jan-15","Feb-15","Mar-15","Apr-15","May-15","Jun-15","Jul-15","Aug-15","Sep-15","Oct-15","Nov-15","Dec-15","Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","Jul-17","Aug-17","Sep-17","Oct-17","Nov-17","Dec-17","Jan-18","Feb-18","Mar-18","Apr-18","May-18","Jun-18","Jul-18","Aug-18","Sep-18","Oct-18","Nov-18","Dec-18","Jan-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20"],[[34.700000000000003],[29.399999999999999],[23.800000000000001],[34.799999999999997],[31.199999999999999],[29.300000000000001],[32.100000000000001],[25],[25.699999999999999],[22.399999999999999],[12.5],[15.699999999999999],[16.800000000000001],[18.899999999999999],[14.4],[11.300000000000001],[13.5],[12.5],[12.199999999999999],[13.1],[12.9],[16.5],[25.399999999999999],[23],[27.600000000000001],[15.9],[17.300000000000001],[15.5],[10.800000000000001],[17.199999999999999],[16.699999999999999],[24.899999999999999],[29],[22.800000000000001],[25.399999999999999],[32.399999999999999],[28.699999999999999],[36.5],[46.200000000000003],[48.399999999999999],[54.200000000000003],[47.100000000000001],[45.700000000000003],[37.399999999999999],[29.899999999999999],[33.5],[31.100000000000001],[28.699999999999999],[22.100000000000001],[24.100000000000001],[15.5],[15.199999999999999],[13.6],[12.199999999999999],[11.199999999999999],[15.300000000000001],[16.899999999999999],[16.800000000000001],[15.199999999999999],[11.4],[19.199999999999999],[11.6],[17.899999999999999],[33],[68.5],[70.799999999999997],[68],[72.400000000000006],[78.799999999999997],[74.299999999999997],[70],[67.299999999999997],[55.200000000000003]]]

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Food and Non-food

The seasonally adjusted estimate for online sales for the Food group rose 5.7% month-on-month in December 2020, while the Non-food group fell 4.1%.

The rise for Food online sales came following a fall of 6.3% in November. The fall in November coincided with the easing of restrictions in metropolitan Melbourne in late October, and the rise this month coincided with the outbreak of the Northern Beaches cluster in New South Wales.

The fall in Non-food online sales compared to a fall in original terms of 2.9% (-$81.5m). The fall in original terms is the first fall in December since the beginning of the online series (2013) and follows strong sales in November due to product releases, and Black Friday.

In 2020, Non-food online sales have been trading at elevated levels. In seasonally adjusted terms, sales remain up 48.1% compared to December 2019, though this is the smallest annual growth recorded since March.

Online sales, Food and Non-food, seasonally adjusted
	Food ($m)	Non-food ($m)
Dec-14	174.5	515.7
Jan-15	172.9	535.4
Feb-15	174.9	544.3
Mar-15	183.1	567.7
Apr-15	185.7	567.1
May-15	187.7	576
Jun-15	196.5	592.6
Jul-15	204	569.9
Aug-15	209.3	584.7
Sep-15	216	581.2
Oct-15	211.1	551.7
Nov-15	210.5	567.4
Dec-15	222.2	583.9
Jan-16	209	633.4
Feb-16	211.9	610.5
Mar-16	211.2	624.5
Apr-16	219.4	634.7
May-16	208.2	650.8
Jun-16	212.3	673
Jul-16	210.8	664.3
Aug-16	221.6	675.1
Sep-16	221.3	707.4
Oct-16	234	722.4
Nov-16	240.1	716.6
Dec-16	246.3	782
Jan-17	263.1	713.2
Feb-17	261.6	703.2
Mar-17	252.4	712.5
Apr-17	274.1	672.5
May-17	280.7	726.4
Jun-17	288.6	744.6
Jul-17	284.5	808.3
Aug-17	281.7	875.1
Sep-17	285.6	855.3
Oct-17	293.9	905.8
Nov-17	307.8	958.6
Dec-17	325.3	998.5
Jan-18	338	994.6
Feb-18	350.9	1,059.8
Mar-18	355.6	1,076.1
Apr-18	360.4	1,099
May-18	365.3	1,116.3
Jun-18	364.9	1,141
Jul-18	377.3	1,124.1
Aug-18	382.4	1,120.4
Sep-18	385.2	1,138.4
Oct-18	385.9	1,187.4
Nov-18	413.8	1,215.7
Dec-18	428.1	1,188.7
Jan-19	437.9	1,216.1
Feb-19	430.1	1,199.5
Mar-19	444.1	1,205.3
Apr-19	438.6	1,220.1
May-19	447.7	1,215
Jun-19	443.4	1,231.7
Jul-19	450.3	1,280.5
Aug-19	460.2	1,296.3
Sep-19	478.3	1,301.5
Oct-19	520.2	1,292.7
Nov-19	493.7	1,322
Dec-19	486.8	1,441.1
Jan-20	518.3	1,327.8
Feb-20	545.7	1,375.2
Mar-20	522.8	1,671.4
Apr-20	607	2,187.8
May-20	713.9	2,126.7
Jun-20	747.4	2,066.9
Jul-20	801.1	2,182.3
Aug-20	852.6	2,288
Sep-20	870.2	2,232.1
Oct-20	866.9	2,215
Nov-20	812.7	2,224.7
Dec-20	858.6	2,133.7

Online sales, Food and Non-food, seasonally adjusted

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

[["Dec-14","Jan-15","Feb-15","Mar-15","Apr-15","May-15","Jun-15","Jul-15","Aug-15","Sep-15","Oct-15","Nov-15","Dec-15","Jan-16","Feb-16","Mar-16","Apr-16","May-16","Jun-16","Jul-16","Aug-16","Sep-16","Oct-16","Nov-16","Dec-16","Jan-17","Feb-17","Mar-17","Apr-17","May-17","Jun-17","Jul-17","Aug-17","Sep-17","Oct-17","Nov-17","Dec-17","Jan-18","Feb-18","Mar-18","Apr-18","May-18","Jun-18","Jul-18","Aug-18","Sep-18","Oct-18","Nov-18","Dec-18","Jan-19","Feb-19","Mar-19","Apr-19","May-19","Jun-19","Jul-19","Aug-19","Sep-19","Oct-19","Nov-19","Dec-19","Jan-20","Feb-20","Mar-20","Apr-20","May-20","Jun-20","Jul-20","Aug-20","Sep-20","Oct-20","Nov-20","Dec-20"],[[174.5],[172.90000000000001],[174.90000000000001],[183.09999999999999],[185.69999999999999],[187.69999999999999],[196.5],[204],[209.30000000000001],[216],[211.09999999999999],[210.5],[222.19999999999999],[209],[211.90000000000001],[211.19999999999999],[219.40000000000001],[208.19999999999999],[212.30000000000001],[210.80000000000001],[221.59999999999999],[221.30000000000001],[234],[240.09999999999999],[246.30000000000001],[263.10000000000002],[261.60000000000002],[252.40000000000001],[274.10000000000002],[280.69999999999999],[288.60000000000002],[284.5],[281.69999999999999],[285.60000000000002],[293.89999999999998],[307.80000000000001],[325.30000000000001],[338],[350.89999999999998],[355.60000000000002],[360.39999999999998],[365.30000000000001],[364.89999999999998],[377.30000000000001],[382.39999999999998],[385.19999999999999],[385.89999999999998],[413.80000000000001],[428.10000000000002],[437.89999999999998],[430.10000000000002],[444.10000000000002],[438.60000000000002],[447.69999999999999],[443.39999999999998],[450.30000000000001],[460.19999999999999],[478.30000000000001],[520.20000000000005],[493.69999999999999],[486.80000000000001],[518.29999999999995],[545.70000000000005],[522.79999999999995],[607],[713.89999999999998],[747.39999999999998],[801.10000000000002],[852.60000000000002],[870.20000000000005],[866.89999999999998],[812.70000000000005],[858.60000000000002]],[[515.70000000000005],[535.39999999999998],[544.29999999999995],[567.70000000000005],[567.10000000000002],[576],[592.60000000000002],[569.89999999999998],[584.70000000000005],[581.20000000000005],[551.70000000000005],[567.39999999999998],[583.89999999999998],[633.39999999999998],[610.5],[624.5],[634.70000000000005],[650.79999999999995],[673],[664.29999999999995],[675.10000000000002],[707.39999999999998],[722.39999999999998],[716.60000000000002],[782],[713.20000000000005],[703.20000000000005],[712.5],[672.5],[726.39999999999998],[744.60000000000002],[808.29999999999995],[875.10000000000002],[855.29999999999995],[905.79999999999995],[958.60000000000002],[998.5],[994.60000000000002],[1059.8],[1076.0999999999999],[1099],[1116.3],[1141],[1124.0999999999999],[1120.4000000000001],[1138.4000000000001],[1187.4000000000001],[1215.7],[1188.7],[1216.0999999999999],[1199.5],[1205.3],[1220.0999999999999],[1215],[1231.7],[1280.5],[1296.3],[1301.5],[1292.7],[1322],[1441.0999999999999],[1327.8],[1375.2],[1671.4000000000001],[2187.8000000000002],[2126.6999999999998],[2066.9000000000001],[2182.3000000000002],[2288],[2232.0999999999999],[2215],[2224.6999999999998],[2133.6999999999998]]]

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As a proportion of total grouped industry turnover, Non-food online sales were 13.6% of total Non-food sales in December 2020, in original terms, the smallest proportion recorded since March.

The proportion of total Food sales made online was 4.5% in December. Food online sales made up 5.2% of total Food sales in November. Despite the fall in the proportion of Food online sales in December, the proportion this month remains larger than pre-COVID-19.

Total online sales were 9.1% of total sales in December. This is a fall from 11.0% in November, however is a larger proportion when compared to December 2019 (6.6%).

Proportion of industry group turnover online, original
	Food (%)	Non-food (%)	Total (%)
Dec-19	2.8	10.3	6.6
Jan-20	2.8	10.3	6.3
Feb-20	3.4	10.9	6.6
Mar-20	3.1	13	7.1
Apr-20	4.1	20.5	11.1
May-20	5	16.1	10.1
Jun-20	4.9	15	9.7
Jul-20	5.2	15.2	9.8
Aug-20	5.8	17.6	11
Sep-20	5.7	16.8	10.6
Oct-20	5.3	16.6	10.4
Nov-20	5.2	16.8	11
Dec-20	4.5	13.6	9.1

Proportion of industry group turnover online, original

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

[["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"],[[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]],[[10.300000000000001],[10.300000000000001],[10.9],[13],[20.5],[16.100000000000001],[15],[15.199999999999999],[17.600000000000001],[16.800000000000001],[16.600000000000001],[16.800000000000001],[13.6]],[[6.5999999999999996],[6.2999999999999998],[6.5999999999999996],[7.0999999999999996],[11.1],[10.1],[9.6999999999999993],[9.8000000000000007],[11],[10.6],[10.4],[11],[9.0999999999999996]]]

[]

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Changes to the online series

The data was previously published as an experimental series, in original data only, as an Appendix to the Retail Trade publication. It was disaggregated by whether the retailer was "Pure-play" (online only) or "Multi-channel" (mix of online and physical stores).

Over time, the split between Pure-play and Multi-channel remained stable, with Pure-play online retailers averaging 38.0% of total online sales.

In December 2020, Pure-play retailers made up 32.5% of online sales and 3.0% of total sales. Online sales for multi-channel retailers made up 6.2% of total retail sales.

The online series continues to use the same source data, and represents purchases made via the internet from employing retail businesses who predominately sell to households. The series excludes direct imports (e.g. purchased directly from an overseas website) and sales from 'households-to-households' through third party websites for example. More information can be found in the information paper Measurement of Online Retail Trade in Macroeconomics (cat. no. 8501.0.55.007).

Seasonal adjustment has been calculated for the new series using the concurrent seasonal adjustment method, meaning that seasonal factors are re-estimated each time a new data point becomes available. Unusual real-world events, such as COVID-19, can distort estimates calculated using the method. Like the total retail series, trend cannot be calculated due to the volatility of the retail series during COVID-19.

APA

Citation

Online sales, December 2020 - Supplementary COVID-19 analysis

APA

Citation

Total online retail

Food and Non-food

Changes to the online series

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