Table

Close table | Download table in Excel | Download as CSV-file

Retail sales. Index of value. 2015=100
	Retail trade, except of motor vehicles and motorcycles	Retail sale, except of motor vehicles and motorcycles and automotive fuel	Retail sale in non-specialised stores	Retail sale of food, beverages and tobacco in specialised stores	Retail sale of automotive fuel in specialised stores	Retail sale of information and communication equipment in specialised stores	Retail sale of other household equipment in specialised stores	Retail sale of cultural and recreation goods in specialised stores	Retail sale of other goods in specialised stores	Retail trade not in stores, stalls and markets
2008	82.7	81.5	76.8	80.2	98.9	103.6	89.4	90.3	86.3	60.4
2009	84.7	84.1	81.9	82.6	90.1	99.0	86.8	92.1	88.8	58.7
2010	86.6	86.0	84.0	84.2	92.3	98.1	88.7	93.6	90.2	61.2
2011	89.1	88.1	86.7	88.7	97.5	103.1	90.3	93.3	91.5	63.5
2012	92.1	91.0	90.2	92.1	101.5	102.8	93.1	92.2	94.4	68.6
2013	93.8	92.6	93.1	94.9	104.6	98.4	93.1	93.2	94.1	73.7
2014	96.9	96.3	96.9	98.2	102.2	100.5	96.6	94.0	96.6	88.4
2015	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0	100.0
2016	102.7	103.2	103.2	103.6	98.2	94.2	101.6	103.1	103.9	109.8
2017	105.1	105.1	105.2	103.1	104.8	94.6	103.6	102.5	104.1	123.5
2018	107.7	107.4	108.2	107.2	110.4	95.5	103.8	101.0	104.5	140.4

May 2016	103.1	103.1	105.5	103.3	103.3	74.6	97.6	89.6	109.4	101.6
June 2016	111.7	111.9	107.4	108.5	109.4	98.5	113.3	111.9	122.8	108.1
July 2016	104.3	103.9	103.9	112.9	107.7	93.9	105.5	108.1	101.5	92.4
August 2016	107.6	107.6	106.6	99.0	107.3	98.9	113.6	112.3	103.1	114.1
September 2016	101.2	101.6	102.3	100.4	97.8	92.7	105.5	92.5	97.6	109.5
October 2016	102.4	102.5	101.9	96.3	101.7	93.1	108.0	87.1	100.9	120.3
November 2016	108.0	109.4	104.6	100.2	95.4	101.7	115.3	108.0	110.7	139.2
December 2016	127.7	131.3	120.5	160.3	95.7	149.7	120.0	168.9	144.3	138.9
January 2017	91.7	90.7	93.6	76.9	101.4	89.5	87.0	81.0	88.2	119.3
February 2017	87.5	86.9	93.4	84.7	92.3	77.8	80.5	77.9	80.5	97.6
March 2017	99.3	98.8	104.3	98.1	103.1	83.6	91.8	90.6	93.2	119.1
April 2017	95.4	94.8	100.2	97.9	99.8	74.2	86.4	95.6	90.5	100.5
May 2017	108.6	108.2	108.8	99.7	112.7	80.2	106.9	94.7	113.7	119.0
June 2017	114.8	115.1	111.1	109.3	112.7	94.8	116.9	116.1	122.6	122.0
July 2017	107.0	106.2	106.1	109.0	114.0	90.3	109.9	107.6	102.3	103.6
August 2017	109.8	109.7	107.3	99.3	110.7	98.4	115.7	114.2	104.4	135.2
September 2017	103.0	103.2	104.3	99.8	102.0	91.1	105.6	93.2	98.4	121.8
October 2017	102.5	102.1	101.3	97.1	106.6	89.8	107.9	81.6	100.0	128.5
November 2017	111.8	112.7	106.0	103.5	102.8	106.7	118.0	105.5	113.5	174.7
December 2017	129.4	132.7	125.6	161.8	99.1	158.4	116.6	171.4	142.2	140.6
January 2018	94.1	93.1	96.6	78.3	102.7	91.1	88.1	83.3	88.0	136.3
February 2018	89.0	88.0	94.8	86.5	98.1	79.1	79.6	80.5	79.9	109.8
March 2018	101.0	100.4	112.2	112.8	106.3	78.3	83.5	90.0	89.4	115.4
April 2018	98.8	98.2	98.4	91.2	104.1	81.5	92.3	93.8	99.8	133.8
May 2018	112.4	112.0	113.0	109.9	115.8	82.6	104.2	95.8	120.5	132.9
June 2018	116.9	116.5	113.3	115.3	120.5	107.0	115.6	113.3	121.0	139.3
July 2018	108.4	106.9	108.6	115.1	121.7	90.5	105.2	105.2	100.6	122.6
August 2018	114.2	113.7	112.1	106.7	118.2	101.3	119.0	112.0	105.7	156.1
September 2018	103.1	102.4	102.7	99.1	109.0	90.7	105.2	87.8	97.2	137.8
October 2018	108.4	107.6	107.7	100.3	115.5	101.5	114.1	81.9	102.4	145.4
November 2018	115.9	116.7	110.7	110.0	108.2	102.4	122.8	104.0	110.2	210.3
December 2018	129.9	132.8	128.3	161.6	104.3	140.4	115.4	164.9	139.1	145.1
January 2019	96.1	95.4	98.5	81.3	102.5	87.7	90.9	84.2	90.4	141.5
February 2019	90.2	89.6	97.6	88.5	96.3	71.9	80.7	73.6	81.5	115.3
March 2019	101.0	100.6	108.4	101.8	104.7	80.0	90.3	84.5	92.8	131.6