28 June 2019
2019In May 2019, the turnover in large-scale food was virtually stable (−0.1%) Turnover in large-scale food retailing - May 2019
In May 2019, the turnover in large-scale food retailing was virtually stable (−0.1%) after a rise in April (+1.4%). Sales were virtually stable in food products (−0.1% after +2.2%) whereas they recovered in non-food products (+0.9% after −1.0%). Sales in automotive fuel increased again (+0.2% after +1.0%).
Turnover kept rising in supermarkets (+0.3% after +0.7%) whereas it fell back in hypermarkets (−0.3% after +1.9%).
In May 2019, the turnover in large-scale food retailing was virtually stable (−0.1%) after a rise in April (+1.4%). Sales were virtually stable in food products (−0.1% after +2.2%) whereas they recovered in non-food products (+0.9% after −1.0%). Sales in automotive fuel increased again (+0.2% after +1.0%).
Turnover kept rising in supermarkets (+0.3% after +0.7%) whereas it fell back in hypermarkets (−0.3% after +1.9%).
Increase over the last three months (+1.0%)
Over the last three months (March to May 2019), the turnover in large-scale food retailing grew by 1.0% compared to the previous three months. Over that period, sales increased in food products (+0.6%) whereas it stabilized in non-food products. Sales of automotive fuel rose sharply (+5.4%).
Turnover increased in supermarkets (+0.7%) and in hypermarkets (+1.4%).
Increase of 0.6% over a year
The turnover of the past three months in large-scale food retailing increased by 0.6% compared to the same period one year earlier. Sales in food products grew by 0.4%, whereas they decreased in non-food products (−1.4%). Sales of automotive fuel rose sharply (+3.5%). Year on year, sales grew in supermarkets (+0.3%) and in hypermarkets (+0.5%).
tableauTurnover in large-scale food retailing
Variation en % | |||||
---|---|---|---|---|---|
Kind of stores or kind of products | May/Apr | Apr/Mar | Mar/Feb. | q-o-q (1) | y-o-y (2) |
Turnover (*) | -0,1 | 1,4 | 0,0 | 1,0 | 0,6 |
including | |||||
Sales of food products(**) | -0,1 | 2,2 | -0,4 | 0,6 | 0,4 |
Sales of non-food products(**) | 0,9 | -1,0 | 0,1 | 0,0 | -1,4 |
Sales of automotive fuel(**) | 0,2 | 1,0 | 2,2 | 5,4 | 3,5 |
including | |||||
Supermarkets(***) | 0,3 | 0,7 | 0,2 | 0,7 | 0,3 |
Hypermarkets(***) | -0,3 | 1,9 | -0,3 | 1,4 | 0,5 |
- (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)
tableauTurnover in large-scale food retailing by type of retail stores
including hypermarkets | including supermarkets | Total | |
---|---|---|---|
2015-01 | 99.43 | 100.52 | 100.0 |
2015-02 | 99.18 | 100.09 | 99.37 |
2015-03 | 97.85 | 99.81 | 98.31 |
2015-04 | 101.31 | 100.59 | 101.2 |
2015-05 | 100.91 | 100.1 | 100.9 |
2015-06 | 101.22 | 100.75 | 100.95 |
2015-07 | 100.99 | 100.07 | 100.42 |
2015-08 | 101.29 | 100.67 | 101.12 |
2015-09 | 99.46 | 99.63 | 99.44 |
2015-10 | 99.39 | 98.07 | 98.9 |
2015-11 | 97.68 | 98.76 | 98.27 |
2015-12 | 101.3 | 100.93 | 101.1 |
2016-01 | 99.13 | 97.99 | 99.04 |
2016-02 | 99.93 | 98.6 | 99.6 |
2016-03 | 100.15 | 99.01 | 100.0 |
2016-04 | 97.9 | 95.78 | 97.3 |
2016-05 | 98.67 | 98.52 | 98.71 |
2016-06 | 98.6 | 97.32 | 98.35 |
2016-07 | 98.47 | 98.82 | 98.74 |
2016-08 | 99.36 | 99.69 | 99.68 |
2016-09 | 99.0 | 99.6 | 99.32 |
2016-10 | 100.14 | 100.08 | 100.39 |
2016-11 | 99.49 | 100.23 | 100.27 |
2016-12 | 99.36 | 99.66 | 99.3 |
2017-01 | 101.11 | 102.69 | 101.83 |
2017-02 | 99.96 | 101.61 | 100.94 |
2017-03 | 99.52 | 99.92 | 99.99 |
2017-04 | 99.89 | 102.02 | 101.21 |
2017-05 | 99.41 | 99.54 | 99.83 |
2017-06 | 99.38 | 100.49 | 100.26 |
2017-07 | 99.54 | 99.49 | 100.21 |
2017-08 | 98.57 | 98.96 | 99.43 |
2017-09 | 100.83 | 101.48 | 101.45 |
2017-10 | 97.46 | 100.14 | 98.85 |
2017-11 | 101.55 | 101.87 | 102.16 |
2017-12 | 100.52 | 101.68 | 101.04 |
2018-01 | 100.57 | 103.75 | 101.96 |
2018-02 | 101.66 | 103.73 | 102.86 |
2018-03 | 104.11 | 104.33 | 104.8 |
2018-04 | 99.3 | 100.99 | 100.27 |
2018-05 | 101.69 | 105.54 | 103.39 |
2018-06 | 102.14 | 104.04 | 103.26 |
2018-07 | 102.79 | 104.9 | 104.01 |
2018-08 | 101.41 | 101.88 | 102.17 |
2018-09 | 101.74 | 102.78 | 102.43 |
2018-10 | 102.83 | 105.08 | 103.52 |
2018-11 | 101.57 | 103.59 | 102.65 |
2018-12 | 100.37 | 103.99 | 102.41 |
2019-01 | 100.85 | 102.57 | 102.14 |
2019-02 | 101.34 | 103.1 | 102.51 |
2019-03 | 101.04 | 103.33 | 102.5 |
2019-04 | 102.98 | 104.07 | 103.91 |
2019-05 | 102.72 | 104.39 | 103.82 |
graphiqueTurnover in large-scale food retailing by type of retail stores

- Source: INSEE - Monthly survey of large-scale food retail activities (Emagsa).
tableauTurnover in super. and hypermarkets by type of products
Food | Automotive fuel | Non food | |
---|---|---|---|
2015-01 | 99.72 | 100.57 | 100.32 |
2015-02 | 98.91 | 102.34 | 100.73 |
2015-03 | 98.49 | 103.25 | 98.27 |
2015-04 | 99.07 | 105.16 | 104.72 |
2015-05 | 100.26 | 103.89 | 100.43 |
2015-06 | 100.52 | 104.16 | 100.33 |
2015-07 | 100.01 | 102.67 | 100.42 |
2015-08 | 101.76 | 98.16 | 100.04 |
2015-09 | 100.26 | 95.84 | 99.62 |
2015-10 | 99.95 | 94.23 | 98.82 |
2015-11 | 99.52 | 94.14 | 96.61 |
2015-12 | 101.54 | 95.59 | 99.7 |
2016-01 | 99.51 | 93.64 | 99.41 |
2016-02 | 100.22 | 94.46 | 99.82 |
2016-03 | 101.14 | 93.92 | 99.29 |
2016-04 | 96.72 | 93.55 | 100.07 |
2016-05 | 98.51 | 101.14 | 98.09 |
2016-06 | 98.85 | 91.68 | 97.97 |
2016-07 | 99.19 | 95.15 | 96.24 |
2016-08 | 100.45 | 94.73 | 97.57 |
2016-09 | 100.34 | 95.69 | 96.44 |
2016-10 | 100.53 | 99.05 | 97.27 |
2016-11 | 100.08 | 99.97 | 96.27 |
2016-12 | 98.13 | 103.71 | 93.9 |
2017-01 | 100.38 | 111.5 | 97.14 |
2017-02 | 99.88 | 107.51 | 96.19 |
2017-03 | 98.43 | 107.29 | 97.58 |
2017-04 | 100.03 | 106.85 | 96.34 |
2017-05 | 98.69 | 106.8 | 97.88 |
2017-06 | 99.78 | 97.27 | 98.51 |
2017-07 | 99.12 | 100.59 | 97.77 |
2017-08 | 98.12 | 102.08 | 96.85 |
2017-09 | 99.55 | 109.62 | 99.14 |
2017-10 | 98.5 | 101.62 | 94.01 |
2017-11 | 100.73 | 107.83 | 97.89 |
2017-12 | 98.92 | 109.54 | 94.81 |
2018-01 | 99.59 | 117.66 | 95.52 |
2018-02 | 100.82 | 114.89 | 96.18 |
2018-03 | 103.86 | 116.16 | 95.11 |
2018-04 | 96.87 | 117.19 | 96.1 |
2018-05 | 101.33 | 121.82 | 95.22 |
2018-06 | 100.7 | 121.29 | 93.82 |
2018-07 | 101.72 | 119.97 | 95.35 |
2018-08 | 99.61 | 119.76 | 94.24 |
2018-09 | 100.38 | 120.99 | 93.71 |
2018-10 | 100.91 | 126.93 | 96.1 |
2018-11 | 99.45 | 125.41 | 93.33 |
2018-12 | 100.98 | 112.65 | 94.06 |
2019-01 | 100.26 | 116.94 | 94.07 |
2019-02 | 100.03 | 119.02 | 94.42 |
2019-03 | 99.62 | 121.58 | 94.51 |
2019-04 | 101.82 | 122.84 | 93.57 |
2019-05 | 101.74 | 123.12 | 94.4 |
graphiqueTurnover in super. and hypermarkets by type of products

- Source: INSEE - Monthly survey of large-scale food retail activities (Emagsa).
tableauTurnover in supermarkets by type of products
Food | Automotive fuel | Non food | |
---|---|---|---|
2015-01 | 100.59 | 101.47 | 99.42 |
2015-02 | 99.79 | 102.35 | 99.73 |
2015-03 | 99.29 | 103.71 | 99.73 |
2015-04 | 99.72 | 106.36 | 101.0 |
2015-05 | 100.08 | 102.58 | 100.19 |
2015-06 | 100.53 | 102.42 | 100.8 |
2015-07 | 99.52 | 101.75 | 100.2 |
2015-08 | 101.35 | 97.68 | 101.91 |
2015-09 | 100.26 | 96.59 | 99.31 |
2015-10 | 98.79 | 94.38 | 98.15 |
2015-11 | 99.31 | 94.7 | 99.15 |
2015-12 | 100.76 | 96.02 | 100.41 |
2016-01 | 98.28 | 93.91 | 98.85 |
2016-02 | 99.29 | 91.84 | 100.18 |
2016-03 | 99.74 | 92.92 | 99.08 |
2016-04 | 95.65 | 92.02 | 100.36 |
2016-05 | 98.2 | 100.83 | 99.13 |
2016-06 | 97.87 | 91.87 | 98.27 |
2016-07 | 98.81 | 95.41 | 98.98 |
2016-08 | 100.47 | 95.62 | 99.44 |
2016-09 | 100.06 | 96.26 | 99.01 |
2016-10 | 99.58 | 101.47 | 99.06 |
2016-11 | 99.09 | 100.84 | 103.71 |
2016-12 | 97.87 | 104.46 | 98.39 |
2017-01 | 100.65 | 113.92 | 98.0 |
2017-02 | 100.52 | 108.45 | 97.25 |
2017-03 | 97.9 | 107.92 | 98.32 |
2017-04 | 101.24 | 107.28 | 97.63 |
2017-05 | 98.82 | 105.02 | 99.66 |
2017-06 | 100.39 | 97.76 | 100.65 |
2017-07 | 99.23 | 100.97 | 97.02 |
2017-08 | 98.43 | 103.08 | 97.54 |
2017-09 | 99.82 | 108.69 | 99.44 |
2017-10 | 99.06 | 105.55 | 96.96 |
2017-11 | 100.62 | 108.79 | 96.22 |
2017-12 | 99.51 | 109.95 | 95.1 |
2018-01 | 100.71 | 121.1 | 97.06 |
2018-02 | 101.1 | 115.4 | 98.41 |
2018-03 | 102.55 | 113.85 | 95.8 |
2018-04 | 97.94 | 114.33 | 97.39 |
2018-05 | 103.83 | 118.33 | 97.06 |
2018-06 | 100.96 | 120.57 | 95.45 |
2018-07 | 102.46 | 118.39 | 97.21 |
2018-08 | 99.49 | 118.24 | 95.22 |
2018-09 | 100.22 | 117.61 | 93.19 |
2018-10 | 101.49 | 126.11 | 97.41 |
2018-11 | 100.96 | 121.26 | 90.73 |
2018-12 | 101.98 | 116.26 | 94.77 |
2019-01 | 100.24 | 117.78 | 95.89 |
2019-02 | 100.4 | 116.58 | 95.66 |
2019-03 | 100.21 | 117.92 | 96.02 |
2019-04 | 102.11 | 117.35 | 93.49 |
2019-05 | 102.99 | 116.54 | 92.6 |
graphiqueTurnover in supermarkets by type of products

- Source: INSEE - Monthly survey of large-scale food retail activities (Emagsa).
tableauTurnover in hypermarkets by type of products
Food | Automotive fuel | Non food | |
---|---|---|---|
2015-01 | 99.03 | 98.38 | 100.41 |
2015-02 | 98.12 | 101.08 | 100.7 |
2015-03 | 97.88 | 102.5 | 99.23 |
2015-04 | 98.89 | 104.01 | 104.76 |
2015-05 | 100.52 | 102.4 | 100.6 |
2015-06 | 100.55 | 107.74 | 100.29 |
2015-07 | 100.38 | 103.63 | 100.24 |
2015-08 | 101.93 | 100.62 | 99.89 |
2015-09 | 100.08 | 95.57 | 99.45 |
2015-10 | 100.79 | 94.99 | 98.91 |
2015-11 | 99.76 | 94.55 | 96.25 |
2015-12 | 102.08 | 94.54 | 99.27 |
2016-01 | 100.31 | 90.9 | 99.5 |
2016-02 | 101.38 | 94.15 | 99.52 |
2016-03 | 102.16 | 93.34 | 99.7 |
2016-04 | 97.61 | 93.46 | 99.65 |
2016-05 | 98.98 | 98.78 | 98.02 |
2016-06 | 99.51 | 94.53 | 97.95 |
2016-07 | 99.49 | 96.08 | 95.44 |
2016-08 | 100.31 | 95.49 | 97.23 |
2016-09 | 100.53 | 95.75 | 95.47 |
2016-10 | 101.01 | 98.6 | 97.25 |
2016-11 | 100.68 | 99.48 | 94.83 |
2016-12 | 98.38 | 103.45 | 90.65 |
2017-01 | 100.23 | 109.6 | 96.98 |
2017-02 | 99.3 | 106.21 | 96.23 |
2017-03 | 98.56 | 105.96 | 97.58 |
2017-04 | 99.43 | 105.08 | 96.19 |
2017-05 | 98.9 | 104.56 | 97.44 |
2017-06 | 99.5 | 100.53 | 98.05 |
2017-07 | 99.2 | 101.06 | 98.37 |
2017-08 | 97.79 | 102.83 | 96.78 |
2017-09 | 99.16 | 108.98 | 98.57 |
2017-10 | 98.02 | 100.91 | 93.83 |
2017-11 | 100.91 | 109.34 | 98.63 |
2017-12 | 98.49 | 110.66 | 93.07 |
2018-01 | 98.66 | 115.23 | 95.13 |
2018-02 | 100.35 | 114.26 | 95.79 |
2018-03 | 103.98 | 115.62 | 94.93 |
2018-04 | 96.13 | 117.26 | 95.99 |
2018-05 | 99.56 | 120.02 | 94.89 |
2018-06 | 100.35 | 123.37 | 93.86 |
2018-07 | 101.42 | 121.9 | 95.1 |
2018-08 | 99.63 | 122.03 | 93.96 |
2018-09 | 99.91 | 120.76 | 93.7 |
2018-10 | 100.19 | 128.47 | 96.04 |
2018-11 | 98.28 | 130.03 | 93.69 |
2018-12 | 99.9 | 111.63 | 91.79 |
2019-01 | 99.86 | 115.59 | 93.4 |
2019-02 | 99.23 | 119.99 | 94.29 |
2019-03 | 98.27 | 122.21 | 94.32 |
2019-04 | 101.7 | 124.13 | 93.84 |
2019-05 | 101.03 | 123.99 | 95.0 |
graphiqueTurnover in hypermarkets by type of products

- Source: INSEE - Monthly survey of large-scale food retail activities (Emagsa).
tableauRevisions of variations
Apr/Mar | Mar/Feb. | Feb./Jan. | Q1 2019/Q4 2018 | 2018/2017 | |
---|---|---|---|---|---|
Large-scale food retailing | -0,22 | -0,02 | -0,09 | 0,07 | 0,00 |
raw serie | 0,21 | -0,08 | -0,03 | -0,04 | 0,00 |
SA-WDA parameters | -0,43 | 0,06 | -0,06 | 0,11 | 0,00 |
- How to read it: Within large scale food retailing, the SA-WDA variation between March and April 2019 is revised by -0.22 points: +0.21 points are due to the raw series' revision and -0.43 points to the new calculation of the SA-WDA
- Source: INSEE - Monthly survey of large-scale food retailing activities (Emagsa)
Revisions
The variation in the turnover of large-scale food retailing for April 2019 has been slightly revised downwards. Initially published at +1.6%, it was revised at +1.4%.
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