Period Specialized and non-specialized food shops Non-food shops Total retail sales except automotive fuela Automotive fuel sales Total retail salesa
in stores not in stores totala
predominantly food and beverages food, beverages and tobacco total manufactured goods in non-specialized shops textiles, clothing, footwear furniture and electrical goods books, computer equipment and others, total books, newspapers computer equipment and others pharmaceutical and medical goods, cosmetics articles, total pharmaceutical and medical goods cosmetics articles second-hand goods mail order and internet market and other non-storeb
2021 January 100.5 98.7 99.8 106.5 137.9 105.5 104.5 78.9 106.1 100.6 96.5 104.0 105.6 101.3 .. 103.7 102.2 105.0 102.0
February 99.0 100.6 99.7 98.8 98.9 93.3 97.5 99.8 97.3 102.8 101.7 98.1 91.5 98.9 .. 98.9 98.8 99.0 98.8
March 101.6 99.1 101.2 97.2 35.9 62.1 69.2 52.1 70.3 109.0 120.5 99.1 43.6 118.3 .. 87.8 95.3 95.9 98.5
April 98.8 97.4 98.5 99.7 216.4 144.3 128.9 157.3 127.7 92.1 96.9 99.2 219.0 95.3 .. 107.6 101.5 101.6 100.3
May 100.4 102.8 100.7 102.4 137.3 111.2 113.6 119.5 111.4 100.6 101.0 104.2 109.0 95.7 .. 105.3 102.9 102.7 102.0
June 101.3 101.8 101.1 104.0 113.4 100.8 101.6 105.9 104.0 105.3 99.7 100.5 129.3 100.8 .. 104.2 103.0 106.6 102.9
July 100.2 101.1 100.4 95.5 100.8 99.7 100.7 109.8 98.6 101.1 98.2 101.0 96.1 96.3 .. 99.4 100.3 97.0 99.4
August 100.6 99.0 100.3 101.2 107.1 100.3 100.4 104.7 100.4 103.4 101.3 101.5 106.1 106.5 .. 102.8 100.6 103.1 100.7
September 98.9 100.9 99.5 97.5 95.2 98.5 101.4 96.4 102.2 103.3 101.1 101.0 97.5 97.2 .. 99.8 100.3 102.5 100.4
October 101.0 99.7 100.7 100.8 104.7 99.7 101.8 99.8 101.8 98.9 99.8 99.9 103.1 97.4 .. 101.0 100.7 100.3 100.4
November 100.1 100.5 100.2 101.0 89.4 99.7 96.9 99.1 97.1 106.6 102.4 101.1 98.8 103.0 .. 100.7 100.5 95.8 99.9
December 99.5 99.4 99.6 102.1 105.0 102.2 100.0 105.0 99.8 89.7 96.1 99.3 100.1 99.2 .. 101.0 100.3 101.5 101.5
2022 January 98.4 100.5 98.9 96.8 94.1 98.4 101.2 90.4 101.2 105.5 105.9 99.9 107.2 100.4 .. 99.1 98.6 104.8 99.2
February 102.0 101.1 102.1 116.2 111.7 106.4 107.5 110.7 106.7 101.0 96.5 102.1 100.3 103.3 .. 105.6 103.8 105.8 103.9
March 100.5 98.9 100.2 98.0 97.4 99.7 96.8 90.0 98.0 100.1 102.1 100.7 95.3 97.1 .. 98.9 98.9 121.8 105.1
April 99.2 99.9 99.5 98.1 102.5 97.1 104.8 109.1 103.9 101.0 100.9 99.3 102.5 101.2 .. 98.4 100.4 92.3 98.4
May 99.1 100.9 99.2 99.0 112.5 98.7 96.3 96.1 95.9 97.4 99.8 100.0 111.4 100.1 .. 101.1 98.8 103.5 98.7
June 98.7 100.0 99.0 93.4 86.8 96.0 97.2 104.2 98.2 101.1 100.0 99.2 94.6 97.1 .. 93.4 97.2 96.5 96.5
July 99.1 98.5 98.8 100.6 103.5 101.2 101.2 97.5 100.7 99.4 101.0 100.0 98.3 96.9 .. 101.3 99.7 98.7 99.3
August 99.3 99.9 99.5 99.4 99.6 99.2 99.0 98.3 99.6 99.8 100.1 98.6 98.6 100.1 .. 100.7 99.4 96.7 98.8
September 100.0 99.6 99.8 102.0 109.3 100.2 100.9 98.5 101.0 99.3 99.7 99.8 110.6 99.7 .. 101.1 100.9 102.4 100.7
October 95.1 100.1 96.4 98.4 91.5 97.9 97.8 98.8 97.6 98.5 99.8 101.2 94.3 103.0 .. 98.9 98.4 101.1 98.7
November 99.5 99.9 99.5 97.2 102.8 99.2 101.9 101.9 102.0 103.1 99.5 100.6 97.7 98.9 .. 100.2 99.9 101.9 100.1
December 98.3 100.1 98.4 96.9 102.8 97.5 99.7 98.9 99.9 101.9 104.3 100.8 121.8 96.4 .. 99.4 99.0 79.9 96.5
2023 January 102.7 101.6 102.7 101.0 94.3 97.7 101.5 101.2 100.8 95.5 95.8 100.0 82.2 100.5 .. 99.1 99.9 94.4 99.3
February 98.9 95.4 98.5 95.5 96.6 94.6 98.2 95.1 98.2 106.1 103.4 101.4 105.0 98.7 .. 98.0 98.4 99.7 98.5
March 97.6 99.4 97.8 100.8 96.8 99.1 96.3 104.8 96.3 99.7 100.2 98.9 99.0 99.0 .. 99.2 98.3 101.1 100.0
April 102.2 101.3 102.3 98.0 97.3 98.9 97.1 98.1 97.2 101.9 100.2 102.3 92.2 100.7 .. 96.9 100.1 100.6 99.6
May 99.7 99.4 99.4 99.3 104.0 99.0 103.7 99.0 103.5 99.5 100.4 99.2 95.3 102.2 .. 100.4 100.0 99.9 99.6
June 101.6 101.1 101.5 102.6 102.9 102.0 100.0 99.8 100.9 101.0 100.4 101.5 107.2 97.2 .. 101.8 101.3 99.2 100.8
July 100.8 99.4 100.6 97.7 101.4 98.3 99.0 98.4 98.5 97.9 99.5 100.0 97.0 104.8 .. 100.0 100.2 101.7 100.2
August 97.9 98.7 98.0 101.2 98.8 100.1 98.6 98.1 99.0 102.1 100.1 102.5 103.8 98.8 .. 100.9 99.2 99.4 99.4
September 102.0 103.2 102.2 97.6 91.5 99.5 101.1 102.8 100.8 100.8 101.4 100.4 94.0 98.9 .. 97.9 100.8 100.9 100.6
October 99.6 98.2 99.3 99.7 104.6 99.8 99.6 97.2 99.8 99.2 100.3 100.2 101.6 103.1 .. 101.2 100.0 99.1 99.6
November 99.8 100.3 99.9 100.1 100.2 97.8 99.8 99.0 99.8 99.5 100.3 99.2 101.8 98.7 .. 99.7 99.9 100.0 99.9
December 100.7 100.9 100.6 101.8 105.1 103.4 104.1 100.0 104.4 104.0 101.7 102.6 105.5 102.5 .. 102.7 102.2 105.6 103.0
2024 January 99.7 100.0 99.8 97.8 96.0 99.3 96.8 97.8 96.2 97.4 98.8 101.5 91.0 98.6 .. 98.7 98.8 93.8 98.4
February 100.6 100.3 100.6 104.4 104.9 102.9 100.4 100.4 100.4 101.5 100.5 99.6 104.0 101.2 .. 100.3 100.4 100.1 100.2
March 101.5 102.1 101.8 99.3 95.1 98.9 101.2 99.1 101.2 100.9 101.1 100.6 100.7 100.7 .. 100.7 101.4 99.9 101.9
April 100.4 98.7 100.1 99.1 102.9 100.7 97.4 97.0 98.5 99.7 99.6 101.3 104.2 101.0 .. 101.1 99.5 102.4 99.4
May 101.2 101.4 101.2 98.5 98.0 100.4 100.1 102.0 99.1 104.1 101.9 100.8 96.5 98.2 .. 97.8 100.7 97.6 100.1
June 99.4 97.6 99.0 99.7 104.9 100.7 99.0 99.8 99.6 100.8 99.5 101.3 96.0 104.9 .. 102.4 100.1 100.5 99.9
July 100.0 99.3 99.9 102.7 97.6 100.6 100.7 99.2 100.6 98.7 101.2 99.6 101.6 98.4 .. 100.4 100.1 100.4 100.1
August 102.0 101.1 101.8 97.9 98.9 100.4 101.5 101.7 101.4 101.3 100.2 100.7 97.0 99.2 .. 99.1 101.4 99.0 100.9
September 99.3 99.2 99.2 101.4 103.0 99.9 98.3 99.0 98.4 99.6 100.6 100.3 101.5 102.5 .. 101.6 99.1 97.3 98.9
October 100.0 102.8 100.4 100.4 94.2 100.6 101.1 99.9 101.1 101.4 101.4 100.7 101.6 96.2 .. 99.2 100.7 103.9 101.0
November 100.3 100.0 100.1 101.0 108.7 103.4 100.8 99.8 100.7 98.5 98.7 101.4 104.4 98.1 .. 100.7 100.5 101.2 100.5
December 100.1 101.5 100.2 98.8 92.2 97.3 97.0 101.0 96.7 100.7 100.8 99.1 99.8 102.4 .. 99.0 98.9 97.2 99.0
2025 January 100.6 99.2 100.5 102.3 104.5 101.2 102.9 99.1 102.8 102.3 101.0 102.1 96.3 101.5 .. 102.8 102.1 102.7 102.2
February
March
April
May
June
July
August
September
October
November
December

Footnotes

aFrom January 2020 data also include market and other non-store retail sales.
bA time series of sufficient length is not available for the data adjustment.

Explanation of symbols

..
Datum not available.
blue number
Preliminary datum.
.