23 February 2018
2018- n° 51In January 2018, the turnover bounced back in large-scale food retailing (+1.4%) Turnover in large-scale food retailing - January 2018
In January 2018, the turnover in large-scale food retailing bounced back (+1.4% after −2.7% in December). The sales recovered in food products (+0.9% after −2.0%), and more markedly in non-food products (+3.2% after −4.8%). Sales of automotive fuel grew strongly (+4.1% after +0.4%).
Sales bounced back in supermarkets (+2.8% after −0.2%) and in hypermarkets (+0.8% after −2.8%).
In January 2018, the turnover in large-scale food retailing bounced back (+1.4% after −2.7% in December). The sales recovered in food products (+0.9% after −2.0%), and more markedly in non-food products (+3.2% after −4.8%). Sales of automotive fuel grew strongly (+4.1% after +0.4%).
Sales bounced back in supermarkets (+2.8% after −0.2%) and in hypermarkets (+0.8% after −2.8%).
Increase over the last three months
Over the last three months (November to January), the turnover in large-scale food retailing grew compared to the previous three months (+1.1%). Over that period, sales increased markedly in automative fuel (+6.4%). They increased more moderately in food products (+0.9%) and decreased in non-food products (−1.7%). Turnover increased in supermarkets (+2.5%) and in hypermarkets (+1.1%).
Growth of 0.7% over a year
The turnover of the past three months in large-scale food retailing rose by 0.7% compared to the same period a year earlier. Sales grew modestly in non-food products (+0.9%) whereas they flattened out in food products (−0.1%). Sales of automotive fuel surged (+5.0%) boosted by the upturn in fuel prices. Year on year, sales increased sharply in supermarkets (+1.9%) and more moderately in hypermarkets (+0.4%).
graphiqueGraph1 – Turnover in large-scale food retailing by type of retail stores
- Source: INSEE - Monthly survey of large-scale food retail activities (Emagsa)
graphiqueGraph2 – Turnover in super. and hypermarkets by type of products
- Source: INSEE - Monthly survey of large-scale food retail activities (Emagsa)
graphiqueGraph3 – Turnover in supermarkets by type of products
- Source: INSEE - Monthly survey of large-scale food retail activities (Emagsa)
graphiqueGraph4 – Turnover in hypermarkets by type of products
- Source: INSEE - Monthly survey of large-scale food retail activities (Emagsa)
tableauTable1 – Turnover in large-scale food retailing
| Variation en % | |||||
|---|---|---|---|---|---|
| Kind of stores or kind of products | Jan./Dec. | Dec./ Nov. | Nov./ Oct. | q-o-q (1) | y-o-y (2) |
| Turnover (*) | 1,4 | –2,7 | 2,9 | 1,1 | 0,7 |
| including | |||||
| Sales of food products(**) | 0,9 | –2,0 | 2,0 | 0,9 | –0,1 |
| Sales of non-food products(**) | 3,2 | –4,8 | 1,8 | –1,7 | 0,9 |
| Sales of automotive fuel(**) | 4,1 | 0,4 | 5,5 | 6,4 | 5,0 |
| including | |||||
| Supermarkets(***) | 2,8 | –0,2 | 1,3 | 2,5 | 1,9 |
| Hypermarkets(***) | 0,8 | –2,8 | 3,3 | 1,1 | 0,4 |
- (1) Quarter-on-quarter: last three months / previous three months (2) Year-on-year: last three months / same three months of previous year
- (*): including sales not in stores
- (**): sold in supermarkets or hypermarkets
- (***): excluding sales not in stores
- Source: INSEE - Monthly survey of large-scale food retailing activities (Emagsa)
tableauTable2 – Revisions of variations
| Dec./ Nov. | Nov./ Oct. | Oct./ Sept. | Q4 2017/ Q3 2017 | 2017/ 2016 | |
|---|---|---|---|---|---|
| Large-scale food retailing | –0,98 | 0,69 | 0,07 | 0,19 | 0,02 |
| raw serie | –1,39 | 0,44 | 0,01 | –0,12 | –0,03 |
| SA-WDA parameters | 0,41 | 0,25 | 0,06 | 0,31 | 0,05 |
- How to read it: Within large scale food retailing, the SA-WDA variation between November 2017 and December 2017 is revised by −0.98 points: −1.39 points due to the raw series' revision and +0.41 points to the new calculation of SA-WDA parameters.
- Source: INSEE - Monthly survey of large-scale food retailing activities (Emagsa)
Revisions
The variation in the turnover of large-scale food-retailing in December 2017 has been revised downwards by one point to −2.7% instead of −1.7% previously released, due to the integration of data received lately.
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