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
Monthly data
2020 January 104.6 105.7 104.8 120.2 108.0 106.3 118.4 101.6 121.2 103.9 101.4 109.0 109.8 128.7 .. 112.9 108.5 101.5 107.4
February 107.8 104.0 107.6 121.3 99.9 102.0 113.8 97.7 116.6 115.6 117.2 112.9 96.0 136.2 .. 112.0 108.8 99.9 107.8
March 112.3 103.8 110.4 100.6 47.7 90.7 86.3 71.0 88.4 138.6 150.0 115.1 72.7 145.2 .. 100.8 106.3 84.5 103.1
April 103.2 91.2 100.2 92.0 10.3 75.6 62.6 33.6 66.3 85.1 94.5 72.0 20.9 169.0 .. 79.8 90.5 74.2 87.6
May 103.7 98.1 102.3 118.5 59.3 102.1 86.3 52.9 90.4 85.5 86.5 84.8 55.0 155.2 .. 99.0 100.7 85.6 97.9
June 98.5 97.4 98.2 114.0 87.0 104.4 106.3 82.0 109.4 96.4 94.8 97.8 75.1 141.6 .. 106.4 102.1 90.1 100.2
July 103.6 103.3 103.5 107.6 102.0 84.8 95.2 77.2 97.5 105.9 103.8 109.1 84.6 137.1 .. 103.2 103.4 93.5 101.7
August 100.1 100.0 100.1 102.0 91.0 81.8 95.2 81.0 97.5 103.4 103.8 103.4 85.8 131.6 .. 98.6 99.4 95.8 98.7
September 102.0 100.5 101.6 100.4 79.6 77.9 91.9 73.3 94.9 106.4 107.5 103.9 81.2 132.0 .. 96.2 99.1 91.0 97.8
October 102.5 97.8 101.4 97.9 88.0 78.8 91.5 72.6 94.0 100.4 105.4 93.3 83.3 145.3 .. 98.3 99.9 89.9 98.1
November 102.8 97.2 101.5 97.2 73.1 78.7 90.2 73.6 92.8 107.6 113.7 97.5 72.1 146.5 .. 99.9 100.8 91.3 99.5
December 102.2 98.7 101.4 96.0 67.3 80.4 88.0 77.2 90.1 95.9 99.2 91.3 69.3 143.6 .. 94.9 98.4 89.1 97.5
2021 January 103.8 96.4 102.1 109.7 76.9 88.8 83.6 53.6 88.0 91.9 89.3 98.3 75.6 143.2 .. 98.7 100.5 91.6 99.0
February 100.5 97.9 99.2 105.1 80.2 83.0 85.3 56.8 89.1 88.9 86.8 92.9 75.5 136.0 .. 97.8 99.2 91.8 97.6
March 97.6 96.6 97.5 104.7 51.0 52.8 74.9 39.9 78.7 83.4 80.8 86.9 39.7 145.8 .. 89.9 94.9 102.6 96.2
April 103.6 104.5 103.6 116.6 620.1 96.4 132.8 126.3 133.3 116.1 110.5 130.8 315.2 115.9 .. 124.2 111.2 119.5 111.8
May 102.3 102.4 102.3 103.6 156.5 80.2 110.6 97.0 111.6 118.1 117.7 118.7 144.3 113.6 .. 108.5 105.0 110.5 105.7
June 108.2 102.6 106.8 109.4 116.1 76.2 93.5 72.5 95.5 109.9 111.3 107.2 130.2 119.4 .. 102.5 104.8 110.0 105.6
July 105.3 99.4 103.8 101.4 108.2 92.8 97.7 81.6 99.3 101.6 102.4 101.0 106.2 112.2 .. 102.2 103.1 102.7 102.9
August 102.9 97.1 101.5 105.2 122.2 96.0 97.6 87.8 99.0 107.3 107.6 106.2 112.4 126.0 .. 108.4 104.5 102.8 104.3
September 103.7 101.1 103.0 101.9 125.7 94.8 102.3 87.1 104.1 108.3 109.1 106.8 114.6 118.4 .. 108.1 105.4 109.1 105.9
October 104.0 101.4 103.4 102.7 119.2 92.8 104.1 84.9 106.2 109.5 109.7 109.2 115.7 110.4 .. 105.9 104.6 111.7 105.6
November 102.3 101.7 102.1 102.7 132.5 94.2 101.9 86.2 103.8 110.7 112.2 108.0 126.7 107.6 .. 106.8 104.4 106.7 104.7
December 102.3 102.1 102.3 104.7 144.7 101.0 106.1 98.0 107.4 112.6 113.6 110.8 134.3 107.1 .. 110.7 106.2 111.5 107.0
2022 January 98.7 102.3 99.6 96.3 118.2 92.9 103.2 104.9 103.1 118.1 124.7 105.5 131.6 106.8 .. 106.2 102.5 110.7 103.7
February 102.9 103.6 103.1 111.9 140.4 107.3 114.8 119.0 114.4 115.7 117.2 112.9 147.6 112.9 .. 115.3 108.4 118.6 109.8
March 101.8 103.1 101.9 116.7 417.9 174.9 159.6 191.9 157.8 106.2 103.1 117.3 335.2 90.9 .. 129.3 111.9 150.8 117.2
April 104.3 107.0 105.1 111.5 166.3 113.2 128.2 150.8 126.7 116.2 112.4 118.8 149.9 98.5 .. 116.5 110.8 136.4 115.2
May 101.9 103.8 102.4 107.3 136.4 98.5 109.4 114.3 109.3 113.2 113.9 110.7 153.4 102.6 .. 110.0 106.0 137.7 111.1
June 98.8 102.5 99.7 97.0 102.9 94.4 103.7 115.4 102.8 108.0 110.0 105.3 111.8 99.2 .. 100.5 100.1 124.2 103.8
July 97.0 98.9 97.4 103.2 106.3 96.9 104.4 100.7 104.7 106.2 110.7 100.0 113.5 99.6 .. 101.8 99.3 126.4 103.7
August 96.0 100.3 97.1 101.9 99.8 97.5 103.0 95.5 104.0 103.3 107.1 96.1 105.1 93.0 .. 99.1 98.1 118.2 101.8
September 96.5 98.6 97.0 108.1 113.8 99.8 102.6 97.5 103.1 98.8 101.4 93.9 120.6 95.8 .. 101.8 99.2 118.0 102.5
October 92.6 99.1 94.2 105.2 98.9 97.3 98.6 94.7 98.9 98.4 99.2 97.0 110.0 102.0 .. 99.5 96.7 119.6 100.7
November 91.4 99.2 93.3 100.7 113.1 97.8 104.1 98.5 104.7 95.1 94.0 97.3 109.8 95.0 .. 99.4 96.3 127.5 101.3
December 89.6 100.1 92.0 94.9 108.5 94.3 103.8 93.0 105.2 107.5 111.8 103.1 135.3 93.6 .. 99.7 95.5 100.8 95.8
2023 January 93.2 100.3 95.0 98.7 116.0 90.7 104.8 103.8 104.9 98.1 95.3 103.1 100.7 93.4 .. 98.7 96.7 90.0 95.5
February 90.4 94.7 91.4 81.3 95.9 80.9 96.0 87.8 96.8 102.8 103.9 100.8 107.8 89.4 .. 91.1 91.3 84.8 90.2
March 87.2 95.6 89.3 85.4 95.3 78.1 94.8 107.4 94.0 102.5 103.9 97.5 112.0 90.4 .. 91.2 90.5 70.5 86.8
April 90.2 95.7 91.4 81.9 90.0 81.0 87.6 88.7 87.5 102.4 104.2 102.7 98.8 92.0 .. 89.3 90.1 77.0 87.4
May 91.9 96.0 92.9 80.1 83.6 80.8 94.0 95.3 93.9 103.9 106.2 100.7 83.7 90.8 .. 89.0 91.1 74.0 87.7
June 94.7 95.8 95.0 89.0 100.2 88.0 97.1 92.8 97.5 104.7 104.8 104.1 95.4 95.4 .. 95.7 95.3 75.9 91.7
July 95.9 96.2 95.9 88.9 93.7 83.9 94.3 91.9 94.5 102.8 101.4 104.7 93.8 101.4 .. 94.5 95.3 79.5 92.4
August 95.8 96.6 96.0 89.3 92.3 84.8 94.0 92.3 94.2 104.8 100.0 112.1 99.0 99.9 .. 94.8 95.5 81.9 92.9
September 97.4 99.4 97.9 86.6 80.2 84.5 94.1 97.4 93.7 105.9 102.1 112.8 83.2 100.2 .. 92.5 95.5 80.0 92.6
October 98.5 96.9 98.1 87.4 91.7 84.8 96.6 95.1 96.7 107.2 105.8 109.2 92.1 97.7 .. 94.9 96.7 78.9 93.5
November 100.0 97.4 99.4 90.8 90.2 92.2 94.9 92.3 95.2 103.5 102.4 105.1 95.9 99.7 .. 96.1 97.8 78.6 94.6
December 102.6 98.6 101.8 95.6 93.4 91.6 97.5 93.5 97.9 105.4 103.4 108.4 84.0 97.5 .. 97.0 99.6 103.7 99.8
2024 January 101.0 97.9 100.2 93.6 91.9 91.8 94.5 90.2 94.9 108.0 105.5 111.9 91.6 104.3 .. 99.1 99.8 104.6 100.6
February 102.2 101.3 102.7 101.8 97.2 89.9 95.7 87.8 96.7 106.9 105.8 107.8 87.0 99.0 .. 97.9 100.0 103.9 101.1
March
April
May
June
July
August
September
October
November
December
Cumulated data from the beginning of the year
2024 January–February 101.6 99.5 101.4 97.7 94.4 90.8 95.1 89.0 95.8 107.5 105.7 109.8 89.2 101.7 .. 98.5 99.9 104.2 100.8
Quarterly data
2020 Q1 108.5 104.4 107.8 112.3 82.0 98.9 104.6 90.0 107.0 119.2 122.2 112.4 91.1 136.9 .. 108.1 107.8 94.9 105.9
Q2 101.7 95.6 100.2 107.9 53.7 94.2 85.1 55.6 88.8 88.9 91.9 84.7 51.0 155.0 .. 95.2 97.8 83.5 95.3
Q3 101.9 101.2 101.7 103.3 90.4 81.4 94.2 77.3 96.7 105.3 105.1 105.5 83.7 133.6 .. 99.3 100.6 93.5 99.4
Q4 102.5 97.9 101.4 97.0 75.5 79.3 89.7 75.0 92.1 101.0 106.0 93.7 75.0 145.2 .. 97.6 99.6 90.1 98.3
2021 Q1 100.4 96.9 99.5 106.3 72.2 74.2 81.4 51.1 85.3 87.7 85.2 92.4 64.6 142.0 .. 95.3 98.1 95.2 97.5
Q2 104.6 103.1 104.2 109.5 161.3 82.9 108.9 91.4 110.3 114.5 113.0 117.8 159.4 116.2 .. 110.5 106.8 112.9 107.5
Q3 104.0 99.2 102.7 102.8 118.4 94.5 99.1 85.8 100.7 105.7 106.5 104.5 111.1 118.7 .. 106.2 104.3 104.7 104.4
Q4 102.8 101.7 102.6 103.4 131.8 96.1 104.2 91.4 105.9 111.0 111.8 109.5 124.9 108.2 .. 107.9 105.1 110.0 105.8
2022 Q1 101.2 103.0 101.5 108.8 175.4 118.8 123.7 128.6 123.4 113.0 114.2 111.9 176.2 102.4 .. 116.8 107.7 127.1 110.4
Q2 101.6 104.3 102.4 105.1 129.4 101.6 112.9 125.0 112.1 112.4 112.1 111.5 135.5 100.1 .. 108.7 105.5 132.4 109.8
Q3 96.5 99.3 97.2 104.3 106.5 98.1 103.4 97.6 104.0 102.6 106.2 96.7 113.5 96.1 .. 100.9 98.9 120.9 102.6
Q4 91.1 99.5 93.1 100.1 106.7 96.4 102.3 94.9 103.1 100.6 101.5 99.5 118.2 96.4 .. 99.5 96.1 116.1 99.1
2023 Q1 90.1 96.8 91.7 87.7 101.6 82.8 98.1 99.1 98.1 101.1 101.0 100.4 107.1 91.1 .. 93.5 92.7 80.4 90.6
Q2 92.2 95.9 93.1 83.5 91.1 83.2 92.9 92.2 92.9 103.6 105.1 102.5 92.0 92.7 .. 91.3 92.1 75.6 88.9
Q3 96.3 97.3 96.6 88.3 88.5 84.4 94.1 93.8 94.1 104.5 101.2 109.8 91.1 100.5 .. 93.9 95.4 80.5 92.6
Q4 100.5 97.7 99.9 91.3 91.9 89.7 96.5 93.6 96.7 105.4 103.8 107.7 90.2 98.4 .. 96.1 98.1 85.7 96.1
2024 Q1
Q2
Q3
Q4

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.
.