2018 Christmas retails sales to grow 2.9% to $51.5 billion
Roy Morgan’s annual Christmas retail sales forecasts conducted in conjunction with the Australian Retailers Association (ARA) indicate Australians will spend nearly $51.5 billion across retail stores during the Christmas trading period from November 9-December 24 (46 days).
Forecast retail spending this Christmas of almost $51.5 billion is an increase of 2.9% from the $50 billion of retail expenditure during the 2017 Christmas trading period.
Growth in retail expenditure is predicted across all six categories measured with spending on Food expected to grow the fastest by 3.7% from a year ago to nearly $21 billion. Also expected to enjoy strong growth are Hospitality businesses by 3.2% to over $7.3 billion.
Apparel and Household Goods will also record a significant increase in trade, with Roy Morgan and the ARA predicting $4 billion to be spent on Apparel including clothing, footwear & accessories, a 3.1% increase from 2017, while over $8.9 billion is forecast to be spent on Household Goods, a 2% increase from a year ago.
The slowest growing category is predicted to be Department stores for which spending is forecast to increase by 0.3% to $2.943 billion.
Predicted Retail Spending Growth by Category (2017 cf. 2018)
Category | 2017 pre-Xmas Actual Results ($mil) | Roy Morgan 2018 forecast pre-Xmas sales ($mil) | Roy Morgan predicted sales growth |
Food | 20,163 | 20,908 | 3.7% |
Household goods | 8,757 | 8,931 | 2.0% |
Hospitality | 7,117 | 7,348 | 3.2% |
Apparel – clothing & footwear etc. | 3,906 | 4,028 | 3.1% |
Department stores | 2,935 | 2,943 | 0.3% |
Other retailing | 7,127 | 7,321 | 2.7% |
National | 50,005 | 51,479 | 2.9% |
Retail sales forecast to grow most strongly in NSW, Victoria, South Australia & Tasmania
Analysis of Roy Morgan's pre-Christmas retail forecasts by State shows bumper growth is expected in four States led by Victoria up by 5.2% to over $13.5 billion.
Christmas retail spending in Australia’s largest State of New South Wales is expected to increase by 3.1% to over $16.6 billion and increases of over 3% in retail sales are also predicted for South Australia and Tasmania. Tasmania is forecast to record Christmas retail sales of over $1 billion for the first time.
Forecast Christmas retail spending in Queensland is predicted to increase by 1.7% to over $10 billion for the first time while there are also increases predicted for both the ACT and NT.
Predicted Retail Spending Growth by State (2017 cf. 2018)
State or Territory | 2017 pre-Xmas Actual Results ($mil) | Roy Morgan 2018 forecast pre-Xmas sales ($mil) | Roy Morgan predicted sales growth |
NSW | 16,132 | 16,629 | 3.1% |
Victoria | 12,843 | 13,512 | 5.2% |
Queensland | 9,907 | 10,071 | 1.7% |
WA | 5.395 | 5,366 | -0.5% |
SA | 3,320 | 3,422 | 3.1% |
Tasmania | 998 | 1,038 | 4.0% |
ACT | 914 | 940 | 2.9% |
NT | 495 | 501 | 1.2% |
National | 50,005 | 51,479 | 2.9% |
Michele Levine, Chief Executive Officer, Roy Morgan, says:
“Despite concern that a softening housing market may adversely impact retail spending in the important Christmas retailing season the research conducted by Roy Morgan in conjunction with the Australian Retailers Association (ARA) shows that Australians are shrugging off these concerns with retail spending in the Christmas sales period expected to rise by 2.9% in 2018 to nearly $51.5 billion.
“This is a faster rate of retail spending growth than achieved a year ago in 2017 when spending in the Christmas retail period grew by 2.7% to exceed $50 billion for the first time.
“The strong forecast growth is not surprising when one considers leading indicators such as the weekly ANZ-Roy Morgan Consumer Confidence Rating have had their best year since 2013 averaging 118.6 thus far in 2018. Consumer Confidence in early November is at 119.8 which is the highest Consumer Confidence has been at the beginning of the Christmas retailing season for five years.
“Strong growth in Christmas retail spending is forecast across the six retail categories headlined by growth of 3.7% in Food retailing to nearly $21 billion, up by 3.2% for Hospitality businesses to over $7.3 billion and by 3.1% to over $4 billion for Apparel including clothing, footwear and personal accessories.
“Forecast Christmas retail spending across Australia’s eight States and Territories is led by growth of 5.2% in Victoria to over $13.5 billion and New South Wales by 3.1% to over $16.6 billion. Christmas retail spending in Queensland is forecast to exceed $10 billion for the first time and there is also strong growth forecast in Tasmania and South Australia.
“Last year’s annual forecasts by Roy Morgan and the ARA predicted growth in retail spending for the Christmas period of 2.8% in 2017 which was only slightly higher than the actual retail sales growth achieved of 2.7% providing confidence that this year’s forecasts will be similarly accurate.
“The ability to predict such accurate results for Australians’ retail spending habits across the country and in differing retail categories in the run-up to Christmas is contingent upon Roy Morgan utilising the correct methodology and sampling techniques to interview a relatively small portion of Australians and draw an accurate picture on a wide variety of inputs.
“Roy Morgan’s expertise with analysing the mood and feel of Australia allows Roy Morgan to consistently produce accurate in-depth segmentation across the Australian community through any demographic group that requires analysis. The psychographic segmentation and analytical tools available via Roy Morgan Helix Personas takes these capabilities for precisely targeting different communities in Australia to an even greater level.”
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Russell Zimmerman, ARA Executive Director, says:
For interview opportunities with ARA Executive Director Russell Zimmerman call the ARA Media Team on 0439 612 556 or email media@retail.org.au
Margin of Error
The margin of error to be allowed for in any estimate depends mainly on the number of interviews on which it is based. Margin of error gives indications of the likely range within which estimates would be 95% likely to fall, expressed as the number of percentage points above or below the actual estimate. Allowance for design effects (such as stratification and weighting) should be made as appropriate.
Sample Size | Percentage Estimate |
40% – 60% | 25% or 75% | 10% or 90% | 5% or 95% | |
1,000 | ±3.0 | ±2.7 | ±1.9 | ±1.3 |
5,000 | ±1.4 | ±1.2 | ±0.8 | ±0.6 |
7,500 | ±1.1 | ±1.0 | ±0.7 | ±0.5 |
10,000 | ±1.0 | ±0.9 | ±0.6 | ±0.4 |
20,000 | ±0.7 | ±0.6 | ±0.4 | ±0.3 |
50,000 | ±0.4 | ±0.4 | ±0.3 | ±0.2 |