Period Economic branches together Out of which: Economic branches together – without fostered workers Out of which:
Agriculture, forestry and fishing Mining and quarrying Manufacturing Electricity, gas, steam and air conditioning supply Water supply; sewerage, waste management and remediation activities Manufacturing, mining and other industry Construction Wholesale and retail trade; repair of motor vehicles and motorcycles Transportation and storage Accommodation and food service activities Information and communication Financial and insurance activities Real estate activities Professional, scientific and technical activities Administrative and support service activities Public administration and defence; compulsory social security Education Human health and social work activities Human health activities Social work activities Arts, entertainment and recreation Other service activities Public administration and defence; compulsory social security Education Human health and social work activities out of which:
Human health activities Social work activities
A–S A B C D E B+C+D+E F G H I J K L M N O P Q QA QB R S A–S O P Q QA QB
Number of employees, thousands
Monthly data
2019 January 3,557.9 89.0 4.2 747.0 24.6 44.8 820.6 185.5 488.9 233.1 127.9 104.8 70.0 44.2 169.9 207.2 273.7 295.9 330.5 142.7 187.9 59.0 57.5 3,441.9 263.3 294.7 240.3 142.4 97.9
February 3,570.3 89.8 4.2 749.6 24.5 45.0 823.3 189.2 489.9 234.2 128.3 104.5 69.7 44.6 170.6 210.4 272.8 296.1 330.2 143.1 187.1 59.1 57.6 3,455.3 262.5 294.9 240.8 142.8 98.0
March 3,560.7 90.3 4.3 750.0 24.6 44.7 823.5 194.1 491.0 233.5 130.5 104.3 69.1 45.1 171.5 207.0 269.0 295.5 320.6 143.1 177.5 58.6 57.1 3,461.5 260.3 294.6 241.4 142.9 98.5
April 3,579.9 91.5 4.3 749.9 24.3 45.1 823.7 198.2 491.1 234.9 132.9 104.8 69.6 45.8 172.1 207.8 269.6 296.3 324.5 143.2 181.4 59.5 57.7 3,475.2 260.5 295.3 242.0 143.0 99.0
May 3,578.1 91.5 4.3 745.0 24.4 45.1 818.8 200.2 493.8 234.0 134.6 104.4 69.0 46.4 172.7 207.5 268.0 295.9 323.8 143.0 180.8 59.6 57.8 3,473.8 259.0 295.0 241.6 142.8 98.8
June 3,565.9 92.0 4.4 739.7 24.3 44.9 813.2 201.9 492.0 232.5 136.5 104.0 67.6 46.8 171.9 205.4 267.5 294.6 322.7 142.7 180.0 59.6 57.6 3,462.6 258.6 293.7 241.3 142.5 98.8
July 3,579.8 92.0 4.4 738.0 23.9 44.9 811.2 203.1 493.1 232.9 139.6 104.5 67.6 47.4 171.9 205.4 278.6 291.6 322.3 143.1 179.3 60.8 57.8 3,478.6 269.8 290.8 242.4 142.9 99.6
August 3,575.0 91.8 4.4 734.2 23.9 44.8 807.3 203.0 492.8 232.7 139.9 104.2 67.2 47.4 172.0 206.8 278.2 290.4 322.5 143.4 179.1 61.1 57.8 3,474.3 269.6 289.6 242.7 143.3 99.4
September 3,570.2 91.3 4.4 735.6 23.9 44.7 808.6 203.4 492.1 233.0 136.5 104.4 67.1 47.2 173.6 207.7 269.1 294.9 323.7 144.0 179.7 59.9 57.7 3,468.6 260.8 294.1 242.9 143.9 99.0
October 3,579.6 91.2 4.4 734.7 23.9 44.7 807.7 205.2 496.5 233.2 135.5 105.0 66.9 47.8 173.6 210.1 268.9 294.8 325.0 144.5 180.5 60.0 58.2 3,477.5 260.7 294.0 243.5 144.3 99.2
November 3,579.7 90.5 4.4 734.7 23.9 44.8 807.8 205.3 497.4 233.9 135.8 105.2 65.7 48.7 173.9 209.2 269.0 294.8 324.7 144.4 180.2 59.8 58.0 3,478.1 260.9 294.0 243.6 144.3 99.3
December 3,572.1 90.1 4.3 731.1 23.8 44.7 803.9 202.0 498.1 233.7 136.0 105.7 66.4 48.4 175.3 208.4 269.0 294.1 322.9 144.7 178.1 60.0 58.2 3,473.3 261.0 293.4 243.8 144.6 99.3
2020 January 3,524.7 87.4 4.5 724.8 23.2 44.0 796.4 199.0 488.1 230.8 134.2 106.5 64.8 47.5 173.0 200.2 267.1 295.0 319.8 144.3 175.5 57.8 57.2 3,428.6 259.2 294.2 242.6 144.1 98.5
February 3,534.9 87.5 4.5 727.7 23.2 44.1 799.5 201.1 487.1 231.2 134.1 109.3 65.8 47.9 175.3 199.6 266.9 294.7 320.0 144.4 175.7 57.9 57.1 3,439.3 259.2 293.9 243.0 144.2 98.8
March 3,475.1 87.5 4.5 722.4 23.2 43.9 794.0 199.7 477.8 226.9 122.1 108.6 65.9 46.4 174.4 194.4 266.2 293.8 306.0 142.7 163.3 57.3 54.3 3,396.4 259.8 293.3 241.6 142.6 99.0
April 3,325.7 86.9 4.5 697.9 23.1 43.6 769.1 192.3 441.7 219.0 90.7 107.4 65.3 43.0 167.9 176.3 266.8 291.4 303.8 136.6 167.2 54.6 49.4 3,240.4 259.8 290.8 234.3 136.4 97.9
May 3,294.4 86.7 4.5 686.8 23.1 43.7 758.1 193.0 438.7 218.2 86.4 108.0 64.9 42.2 166.2 169.4 267.8 289.8 302.8 134.7 168.1 53.8 48.4 3,207.3 260.6 289.2 232.0 134.5 97.4
June 3,338.7 87.1 4.4 691.4 23.2 44.0 763.1 195.7 450.1 219.9 96.1 108.3 66.1 43.2 166.5 169.6 268.9 290.5 308.9 137.4 171.6 54.8 49.8 3,248.2 261.4 289.9 235.4 137.2 98.2
July 3,407.6 88.1 4.4 695.4 23.4 44.3 767.5 199.9 464.3 223.0 109.1 109.6 66.2 45.0 169.3 174.8 279.0 288.3 314.4 140.7 173.7 56.7 52.5 3,315.2 271.3 287.7 239.4 140.5 98.9
August 3,446.5 88.5 4.4 700.1 23.4 44.1 772.0 203.1 471.9 223.9 118.8 109.9 64.6 45.9 171.1 179.4 281.3 288.6 315.6 141.7 173.9 58.1 53.7 3,353.7 273.3 288.0 240.8 141.5 99.2
September 3,475.6 88.7 4.4 705.5 23.4 44.2 777.4 205.2 477.8 224.7 120.7 110.7 65.9 46.5 174.1 185.1 273.8 295.8 317.0 142.9 174.0 58.0 54.2 3,382.4 265.6 295.2 241.8 142.8 99.0
October 3,493.7 88.9 4.3 710.2 23.3 44.3 782.1 206.6 480.6 226.6 119.5 111.8 66.0 46.6 175.6 189.7 274.2 296.0 317.4 143.2 174.2 57.7 54.3 3,399.8 265.8 295.4 242.0 143.1 98.9
November 3,505.6 88.6 4.3 715.3 23.2 44.2 787.1 206.6 483.0 227.3 116.5 112.7 66.3 46.8 177.0 193.9 274.4 296.2 317.8 143.2 174.6 57.1 54.2 3,411.5 266.0 295.6 242.3 143.0 99.2
December 3,491.5 87.6 4.2 712.7 23.3 44.4 784.6 202.5 482.5 227.0 112.8 113.2 66.6 46.3 177.7 192.7 274.5 296.4 315.6 142.6 173.0 56.4 55.1 3,399.0 266.2 295.7 241.4 142.5 98.9
2021 January 3,477.4 85.5 4.4 715.4 22.9 43.7 786.4 200.6 476.4 226.3 112.5 116.6 66.5 42.3 177.6 192.9 273.7 295.7 312.4 142.8 169.6 56.9 55.2 3,387.2 265.5 295.1 240.3 142.7 97.7
February 3,502.1 85.6 4.4 723.4 23.0 43.7 794.4 203.9 478.5 227.2 111.9 117.9 67.6 42.6 178.1 196.8 274.4 296.2 314.5 144.3 170.1 56.9 55.6 3,412.0 266.2 295.6 242.4 144.2 98.2
March 3,504.1 85.9 4.3 726.4 23.0 43.6 797.4 208.6 478.3 226.7 111.5 118.6 67.0 43.1 179.4 196.8 272.2 296.8 310.1 143.6 166.5 56.9 54.9 3,420.9 265.4 296.3 241.9 143.5 98.4
April 3,516.6 86.3 4.4 727.2 23.0 43.6 798.1 211.3 477.1 226.6 111.0 119.4 67.2 43.1 180.4 200.2 272.4 297.6 314.1 144.2 169.9 56.8 55.1 3,428.2 265.1 297.0 241.9 144.0 97.9
May 3,534.5 86.4 4.4 729.1 23.0 43.5 800.0 212.8 480.7 227.0 116.9 119.9 67.0 42.7 180.2 201.7 272.3 298.7 315.2 144.9 170.3 57.2 55.6 3,445.5 265.0 298.2 242.6 144.8 97.8
June 3,557.7 87.0 4.4 730.9 23.1 43.6 802.1 215.4 483.9 227.4 122.8 121.4 67.5 43.4 181.9 203.3 272.6 298.8 316.1 145.7 170.4 57.8 56.2 3,469.0 265.3 298.2 243.7 145.6 98.1
July 3,579.2 87.3 4.4 731.7 23.3 43.7 803.0 216.5 486.3 227.9 128.7 122.2 67.3 43.9 182.7 205.7 281.6 293.9 315.2 146.3 168.9 59.8 57.0 3,492.7 274.5 293.4 244.7 146.2 98.5
August 3,574.6 87.0 4.4 730.5 23.3 43.4 801.6 217.5 487.1 227.6 130.3 121.9 65.4 44.2 183.4 206.0 278.4 293.4 313.8 146.7 167.2 60.1 57.1 3,489.4 271.4 292.9 244.4 146.5 97.9
September 3,588.3 87.1 4.4 732.8 26.8 40.7 804.7 220.7 490.4 227.6 130.4 122.9 67.8 44.2 184.8 205.6 271.7 299.4 314.9 147.7 167.2 59.3 56.5 3,504.0 264.9 298.8 245.9 147.6 98.4
October 3,600.8 87.0 4.4 735.1 26.8 40.8 807.1 221.4 493.8 227.3 131.2 123.4 68.2 44.7 185.8 207.6 272.0 299.3 315.3 147.8 167.5 59.8 56.8 3,516.2 265.2 298.8 246.3 147.6 98.6
November 3,611.8 86.7 4.4 736.8 26.8 41.0 809.0 221.9 496.9 227.5 132.4 124.6 68.5 44.8 187.3 207.6 272.0 299.5 316.1 148.1 168.0 59.9 57.0 3,526.9 265.2 299.0 246.8 147.9 98.9
December 3,608.0 86.0 4.2 734.2 26.9 40.9 806.1 219.4 497.8 227.3 132.9 125.3 68.7 45.1 188.4 207.7 271.8 299.1 315.4 148.3 167.2 61.7 55.3 3,524.2 265.0 298.6 247.1 148.1 99.0
2022 January 3,583.6 83.3 4.1 734.5 26.8 40.8 806.1 219.0 492.6 227.0 131.5 122.3 68.2 44.7 183.3 208.1 271.0 298.6 311.5 147.7 163.8 61.1 55.3 3,501.9 264.2 298.1 245.2 147.5 97.6
February 3,600.7 83.4 4.1 738.1 26.8 40.8 809.8 221.3 493.9 227.0 132.0 125.3 68.6 44.7 185.1 211.3 270.6 297.7 312.9 148.2 164.7 61.4 55.8 3,518.8 263.8 297.1 246.3 148.1 98.2
March 3,613.3 83.9 4.2 741.1 26.9 40.9 812.9 224.2 496.1 227.3 133.7 126.4 68.6 45.2 186.9 212.5 269.6 297.9 310.6 149.1 161.4 61.6 55.8 3,536.2 263.4 297.4 247.4 149.0 98.3
April 3,629.0 84.4 4.2 741.8 26.9 40.9 813.7 226.8 498.2 227.5 135.7 125.6 68.9 45.5 188.3 214.4 269.9 299.6 312.4 149.3 163.2 62.1 56.1 3,549.8 263.4 299.1 247.8 149.1 98.7
May 3,632.0 84.4 4.2 739.8 26.9 40.9 811.8 227.2 499.3 227.9 138.4 126.1 69.0 45.9 189.0 213.3 269.2 299.5 312.4 149.4 163.0 62.4 56.3 3,553.0 262.7 299.0 247.9 149.3 98.6
June 3,634.4 84.7 4.2 738.3 26.9 40.6 810.0 227.8 501.4 227.7 141.2 126.3 68.9 46.2 189.7 213.0 268.6 299.0 311.5 149.3 162.2 62.2 56.4 3,556.5 262.4 298.5 247.8 149.2 98.7
July 3,642.3 85.3 4.2 736.8 26.0 40.8 807.9 228.5 502.9 227.3 145.4 126.8 68.9 46.7 190.2 212.0 274.3 296.5 309.8 149.4 160.3 63.3 56.6 3,567.2 268.2 296.0 248.5 149.3 99.2
August 3,635.4 84.8 4.2 734.6 27.0 40.9 806.6 227.4 502.2 226.9 145.5 127.1 68.9 46.7 190.9 212.0 272.8 295.4 308.0 149.5 158.5 63.5 56.5 3,562.4 266.8 295.0 248.4 149.4 99.0
September 3,659.2 84.8 4.2 739.5 27.1 40.9 811.6 230.1 505.7 227.4 144.0 129.6 69.7 46.9 197.1 213.8 268.2 306.1 304.9 151.3 153.5 63.2 56.3 3,592.6 262.4 305.8 250.5 151.2 99.3
October 3,672.3 84.7 4.2 742.1 27.1 40.6 814.0 231.0 507.8 229.0 142.2 130.5 70.3 47.2 198.9 215.7 267.9 306.7 305.9 152.0 153.9 63.4 57.0 3,605.4 262.1 306.4 251.3 151.9 99.4
November 3,677.7 84.4 4.2 742.8 27.3 41.0 815.2 230.8 507.1 229.1 139.6 131.4 70.5 49.3 200.3 217.8 267.5 307.1 307.6 152.5 155.1 63.2 56.8 3,610.5 261.7 306.7 252.8 152.4 100.4
December 3,670.7 82.8 4.2 739.5 27.4 41.0 811.9 226.7 507.5 228.9 140.9 131.8 70.7 47.7 202.2 217.0 267.0 307.1 308.4 152.8 155.6 63.1 56.9 3,603.0 261.2 306.7 253.1 152.7 100.4
2023 January 3,642.4
82.1a
3.9 740.2 27.1
40.5b
811.7c
223.5d
499.2
227.6e
139.3f
131.1g
70.8h
46.2i
197.2j
216.7k
266.3l
306.9m
306.0n
152.4o
153.6p
62.3q
55.4r
3,575.7
260.6s
306.5t
251.4u
152.3v
99.1w
February 3,655.6
82.5x
4.0 745.1 27.2
40.9y
817.1z
223.2aa
499.7
227.0ab
139.4ac
132.1ad
71.0ae
46.5af
198.8ag
219.3ah
266.3ai
307.2aj
307.0ak
153.0al
153.9am
62.4an
56.0ao
3,589.1
260.6ap
306.9aq
252.7ar
153.0as
99.7at
March 3,665.2 83.0 4.0 747.3 27.3 40.8 819.4 225.2 500.9 227.7 140.5 132.7 71.3 47.1 200.2 218.6 265.1 307.7 306.6 153.2 153.5 62.7 56.4 3,600.4 259.9 307.4 253.1 153.1 100.0
April
May
June
July
August
September
October
November
December
Monthly cumulative data
2023 January–January 3,642.4
82.1a
3.9 740.2 27.1
40.5b
811.7c
223.5d
499.2
227.6e
139.3f
131.1g
70.8h
46.2i
197.2j
216.7k
266.3l
306.9m
306.0n
152.4o
153.6p
62.3q
55.4r
3,575.7
260.6s
306.5t
251.4u
152.3v
99.1w
January–February 3,649.0
82.3au
3.9 742.6 27.2
40.7av
814.4aw
223.4ax
499.4
227.3ay
139.3az
131.6ba
70.9bb
46.3bc
198.0bd
218.0be
266.3bf
307.0bg
306.5bh
152.7bi
153.8bj
62.3bk
55.7bl
3,582.4
260.6bm
306.7bn
252.1bo
152.7bp
99.4bq
January–March 3,654.4 82.5 4.0 744.2 27.2 40.7 816.1 224.0 499.9 227.5 139.7 132.0 71.0 46.6 198.7 218.2 265.9 307.3 306.6 152.9 153.7 62.4 56.0 3,588.4 260.4 306.9 252.4 152.8 99.6
January–April
January–May
January–June
January–July
January–Augustus
January–September
January–October
January–November
January–December
Quarterly cumulative data
2019 Q1 3,563.0 89.7 4.2 748.9 24.5 44.8 822.5 189.6 489.9 233.6 128.9 104.5 69.6 44.6 170.7 208.2 271.9 295.8 327.1 142.9 184.2 58.9 57.4 3,452.9 262.0 294.7 240.9 142.7 98.2
Q1–2 3,568.8 90.7 4.3 746.9 24.4 44.9 820.5 194.9 491.1 233.7 131.8 104.5 69.1 45.5 171.4 207.6 270.1 295.7 325.4 143.0 182.4 59.2 57.5 3,461.7 260.7 294.7 241.3 142.7 98.5
Q1–3 3,570.9 91.0 4.3 743.2 24.3 44.9 816.7 197.6 491.6 233.4 134.1 104.4 68.5 46.1 171.8 207.3 271.8 294.6 324.6 143.1 181.4 59.7 57.6 3,465.8 262.7 293.6 241.7 142.9 98.8
Q1–4 3,572.4 90.9 4.3 740.8 24.2 44.8 814.1 199.3 493.1 233.5 134.5 104.7 68.0 46.7 172.4 207.8 271.1 294.6 324.5 143.5 181.0 59.8 57.7 3,468.4 262.2 293.7 242.2 143.3 98.9
2020 Q1 3,511.6 87.5 4.5 724.9 23.2 44.0 796.6 199.9 484.3 229.6 130.2 108.1 65.5 47.3 174.2 198.0 266.7 294.5 315.3 143.8 171.5 57.6 56.2 3,421.4 259.4 293.8 242.4 143.6 98.8
Q1–2 3,415.6 87.2 4.5 708.5 23.2 43.9 780.0 196.8 463.9 224.3 110.6 108.0 65.4 45.0 170.5 184.9 267.3 292.6 310.2 140.0 170.2 56.0 52.7 3,326.7 260.0 291.9 238.2 139.8 98.3
Q1–3 3,424.8 87.6 4.5 705.8 23.2 44.0 777.5 198.8 466.4 224.2 112.5 108.7 65.5 45.3 170.9 183.2 270.9 292.0 312.0 140.6 171.5 56.5 52.9 3,334.6 263.4 291.4 239.0 140.4 98.6
Q1–4 3,442.8 87.8 4.4 707.5 23.2 44.1 779.2 200.4 470.3 224.9 113.4 109.7 65.7 45.6 172.4 185.4 271.7 293.1 313.3 141.2 172.1 56.7 53.3 3,351.8 264.0 292.4 239.7 141.0 98.7
2021 Q1 3,494.5 85.7 4.4 721.8 23.0 43.6 792.7 204.4 477.7 226.7 112.0 117.7 67.0 42.7 178.3 195.5 273.4 296.2 312.3 143.6 168.7 56.9 55.2 3,406.7 265.7 295.6 241.6 143.4 98.1
Q1–2 3,515.4 86.1 4.4 725.4 23.0 43.6 796.4 208.8 479.1 226.9 114.4 119.0 67.1 42.9 179.6 198.6 272.9 297.3 313.7 144.3 169.5 57.1 55.4 3,427.1 265.4 296.7 242.1 144.1 98.0
Q1–3 3,537.2 86.5 4.4 727.5 23.5 43.3 798.6 211.9 482.1 227.1 119.6 120.1 67.0 43.3 180.9 201.0 274.4 296.7 314.0 145.1 168.9 58.0 55.9 3,449.9 267.0 296.2 243.1 145.0 98.1
Q1–4 3,554.6 86.5 4.4 729.5 24.3 42.7 800.8 214.2 485.6 227.2 122.7 121.2 67.4 43.7 182.5 202.7 273.8 297.4 314.4 145.9 168.6 58.6 56.0 3,468.0 266.6 296.8 244.0 145.7 98.3
2022 Q1 3,599.2 83.5 4.1 737.9 26.8 40.8 809.6 221.5 494.2 227.1 132.4 124.7 68.5 44.9 185.1 210.6 270.4 298.1 311.6 148.3 163.3 61.4 55.6 3,519.0 263.8 297.5 246.3 148.2 98.1
Q1–2 3,615.5 84.0 4.2 738.9 26.8 40.8 810.7 224.4 496.9 227.4 135.4 125.3 68.7 45.4 187.0 212.1 269.8 298.7 311.9 148.8 163.1 61.8 55.9 3,536.0 263.3 298.2 247.1 148.7 98.4
Q1–3 3,625.5 84.3 4.2 738.3 26.8 40.8 810.1 225.8 499.2 227.3 138.6 126.2 68.8 45.8 188.9 212.3 270.5 298.9 310.4 149.2 161.2 62.3 56.1 3,548.7 264.1 298.4 247.8 149.1 98.6
Q1–4 3,637.6 84.3 4.2 739.1 26.9 40.8 811.0 226.7 501.2 227.7 139.2 127.4 69.3 46.4 191.8 213.4 269.7 300.9 309.6 150.0 159.6 62.6 56.3 3,563.1 263.5 300.5 248.9 149.9 99.0
2023 Q1 3,654.4 82.5 4.0 744.2 27.2 40.7 816.1 224.0 499.9 227.5 139.7 132.0 71.0 46.6 198.7 218.2 265.9 307.3 306.6 152.9 153.7 62.4 56.0 3,588.4 260.4 306.9 252.4 152.8 99.6
Q1–2
Q1–3
Q1–4
Corresponding period of the previous year = 100.0%
Monhtly data
2019 January 100.7 96.7 112.2 101.5 99.3 98.7 101.4 108.1 101.8 100.3 104.2 103.7 102.4 96.7 105.1 103.7 96.6 100.4 93.8 100.0 89.6 102.2 96.3 101.9 98.8 100.5 100.8 100.1 101.8
February 101.5 98.1 111.8 102.2 99.7 99.9 102.1 108.9 102.5 101.1 104.9 103.7 105.3 97.6 105.7 106.2 96.5 100.4 94.8 100.2 91.0 102.2 97.2 102.5 98.4 100.5 100.6 100.2 101.1
March 100.9 98.8 111.6 101.7 99.9 99.4 101.5 109.7 102.5 101.3 105.7 102.3 102.1 98.1 104.8 103.8 95.4 100.3 93.1 100.0 88.2 101.0 96.8 102.1 96.9 100.4 100.6 100.1 101.5
April 100.8 98.5 112.1 101.4 98.4 100.2 101.3 109.6 102.0 101.3 106.2 102.4 102.6 98.9 104.6 104.6 95.1 100.4 93.0 100.2 88.0 101.2 96.7 102.1 96.7 100.5 100.8 100.3 101.6
May 100.6 97.7 111.5 101.0 98.6 100.0 100.9 109.1 102.5 101.0 105.6 101.7 102.1 99.1 104.7 103.7 94.5 100.3 93.2 100.1 88.3 100.6 96.2 101.8 96.0 100.4 100.6 100.2 101.1
June 100.1 98.2 111.3 100.2 97.9 99.4 100.1 108.6 101.8 100.1 105.0 101.6 100.0 99.1 103.7 102.1 94.5 100.1 93.8 99.9 89.4 99.9 95.7 101.1 96.0 100.2 100.3 100.0 100.8
July 100.5 98.7 110.6 99.9 96.2 99.7 99.9 108.2 101.5 100.5 105.3 102.4 100.2 99.8 103.1 102.5 96.5 100.0 96.2 100.0 93.3 101.4 99.4 101.1 96.8 100.1 100.3 100.1 100.6
August 100.3 98.6 108.6 99.6 97.2 99.6 99.6 108.0 101.3 100.4 105.3 101.4 98.8 99.3 102.9 102.3 96.0 100.2 96.2 100.2 93.1 100.6 98.7 100.9 96.5 100.3 100.4 100.3 100.6
September 100.6 99.5 107.8 99.8 96.8 99.3 99.7 108.3 102.1 100.4 105.5 101.9 98.1 101.1 105.0 99.7 96.1 100.1 97.3 101.5 94.2 101.5 102.8 101.2 96.7 100.2 101.2 101.5 100.7
October 99.9 98.4 107.7 99.2 100.0 99.0 99.3 106.8 101.3 100.1 105.0 100.9 97.3 100.1 101.5 100.5 96.1 99.7 96.7 100.4 94.0 100.2 99.1 100.5 96.8 99.8 100.6 100.4 100.8
November 99.9 98.4 107.6 98.8 99.6 99.2 98.9 107.2 101.1 100.2 105.3 101.1 96.3 102.1 101.2 101.0 96.6 99.5 96.4 100.3 93.5 99.8 98.6 100.4 97.3 99.7 100.3 100.3 100.2
December 99.9 98.4 105.9 98.6 99.0 99.0 98.7 107.0 101.0 100.3 105.7 101.7 97.8 101.3 101.6 100.6 97.2 99.3 96.2 100.4 93.0 100.3 98.9 100.5 98.0 99.4 100.4 100.5 100.2
2020 January 99.1 98.2 106.8 97.0 94.2 98.3 97.1 107.3 99.8 99.0 104.9 101.6 92.5 107.4 101.9 96.6 97.6 99.7 96.8 101.1 93.4 97.8 99.5 99.6 98.4 99.8 100.9 101.2 100.6
February 99.0 97.4 106.7 97.1 94.7 98.0 97.1 106.3 99.4 98.7 104.5 104.6 94.4 107.5 102.7 94.9 97.8 99.5 96.9 100.9 93.9 97.8 99.1 99.5 98.8 99.7 100.9 100.9 100.8
March 97.6 97.0 106.6 96.3 94.3 98.2 96.4 102.9 97.3 97.1 93.6 104.1 95.4 102.8 101.7 93.9 99.0 99.4 95.5 99.8 92.0 97.8 94.9 98.1 99.8 99.5 100.1 99.8 100.5
April 92.9 95.1 103.3 93.1 95.1 96.7 93.4 97.0 89.9 93.3 68.2 102.5 93.9 93.9 97.6 84.8 98.9 98.4 93.6 95.4 92.2 91.8 85.7 93.2 99.7 98.5 96.8 95.4 98.9
May 92.1 94.7 103.9 92.2 94.8 97.0 92.6 96.4 88.9 93.2 64.2 103.4 94.0 91.0 96.3 81.6 99.9 97.9 93.5 94.2 93.0 90.2 83.8 92.3 100.6 98.0 96.0 94.2 98.6
June 93.6 94.7 102.2 93.5 95.6 98.1 93.8 96.9 91.5 94.6 70.4 104.1 97.8 92.3 96.9 82.6 100.5 98.6 95.7 96.3 95.3 91.9 86.5 93.8 101.1 98.7 97.5 96.3 99.4
July 95.2 95.8 100.6 94.2 97.6 98.7 94.6 98.4 94.2 95.7 78.1 104.9 98.0 94.8 98.5 85.1 100.2 98.9 97.5 98.3 96.9 93.4 90.7 95.3 100.5 98.9 98.7 98.4 99.3
August 96.4 96.4 100.0 95.4 97.6 98.4 95.6 100.1 95.7 96.2 84.9 105.5 96.2 96.9 99.5 86.7 101.1 99.4 97.9 98.8 97.1 95.1 92.9 96.5 101.4 99.5 99.2 98.8 99.8
September 97.3 97.2 99.7 95.9 97.8 98.9 96.1 100.9 97.1 96.5 88.4 106.1 98.2 98.5 100.3 89.1 101.7 100.3 97.9 99.2 96.9 96.7 93.9 97.5 101.9 100.4 99.6 99.2 100.1
October 97.6 97.5 98.5 96.7 97.4 99.2 96.8 100.7 96.8 97.2 88.2 106.5 98.7 97.5 101.2 90.3 102.0 100.4 97.7 99.2 96.5 96.1 93.3 97.8 102.0 100.5 99.4 99.2 99.7
November 97.9 97.9 98.4 97.4 97.2 98.6 97.4 100.6 97.1 97.2 85.8 107.1 100.8 96.3 101.8 92.7 102.0 100.5 97.9 99.2 96.9 95.5 93.5 98.1 102.0 100.5 99.5 99.2 99.9
December 97.7 97.2 98.2 97.5 98.1 99.4 97.6 100.2 96.9 97.1 82.9 107.1 100.3 95.6 101.4 92.5 102.0 100.8 97.8 98.5 97.1 94.0 94.7 97.9 102.0 100.8 99.0 98.5 99.6
2021 January 98.7 97.8 98.0 98.7 99.0 99.2 98.7 100.8 97.6 98.1 83.8 109.5 102.6 89.1 102.6 96.4 102.5 100.2 97.7 99.0 96.6 98.4 96.4 98.8 102.4 100.3 99.1 99.0 99.1
February 99.1 97.9 96.9 99.4 99.4 99.0 99.4 101.4 98.2 98.2 83.4 107.9 102.8 88.8 101.6 98.6 102.8 100.5 98.3 100.0 96.8 98.3 97.3 99.2 102.7 100.6 99.8 100.0 99.4
March 100.8 98.2 95.9 100.6 99.3 99.3 100.4 104.5 100.1 100.0 91.3 109.2 101.7 93.0 102.9 101.3 102.2 101.0 101.3 100.6 101.9 99.3 101.3 100.7 102.1 101.0 100.1 100.6 99.4
April 105.7 99.2 98.4 104.2 99.5 99.8 103.8 109.9 108.0 103.5 122.5 111.1 102.9 100.2 107.5 113.6 102.1 102.1 103.4 105.6 101.6 104.0 111.6 105.8 102.0 102.1 103.2 105.6 99.9
May 107.3 99.7 97.5 106.2 99.6 99.6 105.5 110.3 109.6 104.0 135.2 111.0 103.4 101.2 108.4 119.1 101.7 103.1 104.1 107.6 101.3 106.3 114.8 107.4 101.7 103.1 104.6 107.6 100.4
June 106.6 99.9 98.6 105.7 99.6 99.2 105.1 110.1 107.5 103.4 127.8 112.1 102.2 100.4 109.2 119.8 101.4 102.8 102.3 106.1 99.3 105.6 112.9 106.8 101.5 102.9 103.5 106.1 99.9
July 105.0 99.1 99.2 105.2 99.8 98.6 104.6 108.3 104.7 102.2 118.0 111.5 101.7 97.7 107.9 117.7 100.9 101.9 100.3 104.0 97.3 105.4 108.6 105.4 101.2 102.0 102.2 104.0 99.7
August 103.7 98.3 99.7 104.3 99.7 98.4 103.8 107.1 103.2 101.7 109.6 110.9 101.3 96.2 107.1 114.8 98.9 101.7 99.4 103.5 96.1 103.4 106.3 104.0 99.3 101.7 101.5 103.5 98.6
September 103.2 98.2 101.4 103.9 114.6 92.2 103.5 107.6 102.6 101.3 108.0 111.1 103.0 95.1 106.1 111.1 99.2 101.2 99.4 103.3 96.1 102.3 104.3 103.6 99.7 101.2 101.7 103.3 99.3
October 103.1 97.9 100.9 103.5 115.3 92.1 103.2 107.2 102.8 100.3 109.7 110.4 103.3 96.0 105.8 109.4 99.2 101.1 99.3 103.1 96.2 103.5 104.7 103.4 99.8 101.2 101.8 103.2 99.8
November 103.0 97.9 101.2 103.0 115.4 92.8 102.8 107.4 102.9 100.1 113.6 110.6 103.4 95.7 105.8 107.1 99.1 101.1 99.4 103.4 96.2 104.8 105.2 103.4 99.7 101.1 101.9 103.4 99.7
December 103.3 98.1 98.7 103.0 115.4 92.2 102.7 108.4 103.2 100.1 117.9 110.6 103.2 97.3 106.0 107.8 99.0 100.9 99.9 104.0 96.6 109.4 100.4 103.7 99.6 101.0 102.4 104.0 100.0
2022 January 103.1 97.4 93.2 102.7 116.8 93.5 102.5 109.2 103.4 100.3 116.9 104.9 102.5 105.6 103.2 107.9 99.0 101.0 99.7 103.4 96.6 107.4 100.2 103.4 99.5 101.0 102.0 103.4 100.0
February 102.8 97.4 94.4 102.0 116.4 93.4 101.9 108.5 103.2 99.9 117.9 106.3 101.4 105.1 103.9 107.4 98.6 100.5 99.5 102.7 96.8 108.0 100.4 103.1 99.1 100.5 101.6 102.7 100.0
March 103.1 97.7 95.5 102.0 116.7 93.7 101.9 107.5 103.7 100.2 119.9 106.6 102.5 104.8 104.2 108.0 99.1 100.4 100.2 103.9 97.0 108.4 101.5 103.4 99.2 100.4 102.3 103.9 99.9
April 103.2 97.8 95.4 102.0 116.8 93.9 102.0 107.3 104.4 100.4 122.2 105.2 102.6 105.6 104.4 107.1 99.1 100.7 99.5 103.5 96.0 109.3 101.7 103.5 99.3 100.7 102.5 103.6 100.8
May 102.8 97.7 96.0 101.5 116.7 93.9 101.5 106.8 103.9 100.4 118.4 105.1 102.9 107.4 104.9 105.7 98.8 100.2 99.1 103.1 95.7 109.1 101.3 103.1 99.1 100.3 102.2 103.1 100.8
June 102.2 97.3 95.6 101.0 116.4 93.0 101.0 105.7 103.6 100.1 115.0 104.0 102.0 106.5 104.3 104.8 98.6 100.1 98.5 102.4 95.2 107.6 100.3 102.5 98.9 100.1 101.7 102.5 100.6
July 101.8 97.7 95.7 100.7 111.7 93.5 100.6 105.5 103.4 99.7 112.9 103.8 102.3 106.2 104.1 103.1 97.4 100.9 98.3 102.1 94.9 105.8 99.3 102.1 97.7 100.9 101.6 102.2 100.7
August 101.7 97.5 96.2 100.6 115.7 94.3 100.6 104.6 103.1 99.7 111.7 104.3 105.3 105.8 104.1 102.9 98.0 100.7 98.1 101.9 94.8 105.7 99.0 102.1 98.3 100.7 101.6 102.0 101.2
September 102.0 97.4 94.6 100.9 100.9 100.4 100.9 104.3 103.1 99.9 110.4 105.4 102.7 106.0 106.7 104.0 98.7 102.2 96.8 102.5 91.8 106.6 99.6 102.5 99.1 102.3 101.9 102.5 100.9
October 102.0 97.4 95.4 100.9 101.2 99.5 100.8 104.3 102.8 100.7 108.4 105.8 103.1 105.6 107.0 103.9 98.5 102.5 97.0 102.8 91.9 106.2 100.3 102.5 98.8 102.5 102.0 102.9 100.8
November 101.8 97.3 95.2 100.8 101.6 100.0 100.8 104.0 102.1 100.7 105.4 105.4 103.0 110.0 107.0 104.9 98.4 102.5 97.3 103.0 92.3 105.6 99.6 102.4 98.7 102.6 102.4 103.0 101.6
December 101.7 96.3 99.5 100.7 101.7 100.1 100.7 103.3 101.9 100.7 106.0 105.2 102.9 105.8 107.3 104.5 98.2 102.7 97.8 103.1 93.1 102.3 103.0 102.2 98.5 102.7 102.4 103.1 101.4
2023 January 101.6 98.5 95.6 100.8 101.3
99.3br
100.7 102.1 101.3
100.2bs
105.9bt
107.2bu
103.9bv
103.4bw
107.6bx
104.2bw
98.3by
102.8bz
98.3ca
103.2cb
93.8cc
101.9cd
100.2ce
102.1
98.6cf
102.8
102.6cg
103.3cb
101.5ch
February 101.5 98.9 96.9 100.9 101.6
100.3ci
100.9
100.9ci
101.2
100.0bs
105.6cj
105.4ck
103.5cl
103.9cm
107.4cn
103.8co
98.4bs
103.2cp
98.1cq
103.3cb
93.5cr
101.6cs
100.5ce
102.0
98.8ct
103.3cu
102.6bs
103.3cb
101.5cv
March 101.4 98.9 96.8 100.8 101.6 100.0 100.8 100.4 101.0 100.2 105.1 105.0 103.8 104.1 107.1 102.9 98.3 103.3 98.7 102.7 95.1 101.7 101.2 101.8 98.7 103.4 102.3 102.7 101.7
April
May
June
July
August
September
October
November
December
Monthly cumulative data
2023 January–January 101.6 98.5 95.6 100.8 101.3
99.3br
100.7 102.1 101.3
100.2bs
105.9bt
107.2bu
103.9bv
103.4bw
107.6bx
104.2bw
98.3by
102.8bz
98.3ca
103.2cb
93.8cc
101.9cd
100.2ce
102.1
98.6cf
102.8
102.6cg
103.3cb
101.5ch
January–February 101.6 98.7 96.3 100.9 101.4
99.8cw
100.8 101.5 101.2
100.1bs
105.7cx
106.3cy
103.7cz
103.7da
107.5bx
104.0db
98.3by
103.0cb
98.2ca
103.3cb
93.6dc
101.8dd
100.4ce
102.1
98.7cf
103.1de
102.6cg
103.3cb
101.5cv
January–March 101.5 98.8 96.4 100.9 101.5 99.8 100.8 101.1 101.2 100.2 105.5 105.8 103.8 103.8 107.4 103.6 98.3 103.1 98.4 103.1 94.1 101.7 100.6 102.0 98.7 103.2 102.5 103.1 101.6
January–April
January–May
January–June
January–July
January–Augustus
January–September
January–October
January–November
January–December
Quarterly cumulative data
2019 Q1 101.0 97.8 111.9 101.8 99.7 99.3 101.6 108.9 102.2 100.9 104.9 103.2 103.2 97.5 105.2 104.6 96.2 100.4 93.9 100.1 89.6 101.8 96.8 102.2 98.0 100.5 100.7 100.1 101.5
Q1–2 100.8 98.0 111.7 101.3 99.0 99.6 101.2 109.0 102.2 100.8 105.3 102.6 102.4 98.3 104.8 104.0 95.4 100.3 93.6 100.1 89.1 101.2 96.5 101.9 97.1 100.4 100.6 100.2 101.3
Q1–3 100.7 98.3 110.8 100.8 98.2 99.6 100.7 108.7 102.0 100.7 105.3 102.3 101.3 98.9 104.4 103.2 95.7 100.3 94.6 100.2 90.5 101.2 97.7 101.6 97.0 100.3 100.6 100.3 101.1
Q1–4 100.5 98.3 109.8 100.3 98.6 99.5 100.3 108.3 101.8 100.6 105.3 102.1 100.2 99.4 103.6 102.5 95.9 100.1 95.0 100.3 91.2 100.9 98.0 101.3 97.1 100.2 100.6 100.3 100.9
2020 Q1 98.6 97.5 106.7 96.8 94.4 98.2 96.9 105.4 98.9 98.3 101.0 103.4 94.1 105.9 102.1 95.1 98.1 99.6 96.4 100.6 93.1 97.8 97.9 99.1 99.0 99.7 100.6 100.6 100.6
Q1–2 95.7 96.2 104.9 94.9 94.8 97.7 95.1 101.0 94.5 96.0 83.9 103.4 94.6 99.0 99.5 89.1 98.9 98.9 95.3 97.9 93.3 94.6 91.6 96.1 99.7 99.0 98.7 98.0 99.8
Q1–3 95.9 96.3 103.3 95.0 95.7 98.0 95.2 100.6 94.9 96.0 83.9 104.1 95.6 98.2 99.5 88.4 99.6 99.1 96.1 98.2 94.5 94.7 91.9 96.2 100.3 99.2 98.9 98.2 99.8
Q1–4 96.4 96.6 102.0 95.5 96.2 98.3 95.7 100.6 95.4 96.3 84.3 104.8 96.6 97.8 100.0 89.2 100.2 99.5 96.6 98.4 95.1 94.9 92.4 96.6 100.7 99.6 99.0 98.4 99.8
2021 Q1 99.5 98.0 96.9 99.6 99.2 99.2 99.5 102.2 98.6 98.7 86.0 108.9 102.4 90.3 102.4 98.7 102.5 100.6 99.1 99.9 98.4 98.7 98.3 99.6 102.4 100.6 99.7 99.9 99.3
Q1–2 102.9 98.8 97.6 102.4 99.4 99.3 102.1 106.1 103.3 101.1 103.5 110.1 102.6 95.2 105.3 107.4 102.1 101.6 101.1 103.0 99.6 101.9 105.2 103.0 102.1 101.7 101.7 103.1 99.7
Q1–3 103.3 98.7 98.4 103.1 101.2 98.4 102.7 106.6 103.4 101.3 106.3 110.5 102.4 95.6 105.9 109.7 101.3 101.6 100.6 103.2 98.5 102.5 105.6 103.5 101.4 101.6 101.7 103.2 99.5
Q1–4 103.2 98.5 98.8 103.1 104.7 96.8 102.8 106.9 103.3 101.0 108.2 110.5 102.6 95.8 105.9 109.3 100.7 101.5 100.4 103.3 98.0 103.3 105.0 103.5 101.0 101.5 101.8 103.3 99.6
2022 Q1 103.0 97.5 94.3 102.2 116.6 93.5 102.1 108.4 103.5 100.2 118.3 105.9 102.1 105.2 103.8 107.7 98.9 100.6 99.8 103.3 96.8 107.9 100.7 103.3 99.3 100.6 102.0 103.3 100.0
Q1–2 102.8 97.5 95.0 101.9 116.6 93.5 101.8 107.5 103.7 100.2 118.3 105.3 102.3 105.8 104.1 106.8 98.9 100.5 99.4 103.2 96.2 108.3 100.9 103.2 99.2 100.5 102.0 103.2 100.4
Q1–3 102.5 97.5 95.2 101.5 114.0 94.3 101.4 106.6 103.5 100.1 115.9 105.1 102.7 105.9 104.4 105.6 98.6 100.7 98.8 102.8 95.4 107.5 100.3 102.9 98.9 100.8 101.9 102.9 100.5
Q1–4 102.3 97.4 95.5 101.3 110.6 95.7 101.3 105.9 103.2 100.2 113.4 105.2 102.8 106.2 105.1 105.3 98.5 101.2 98.5 102.9 94.7 106.8 100.5 102.7 98.9 101.2 102.0 102.9 100.7
2023 Q1 101.5 98.8 96.4 100.9 101.5 99.8 100.8 101.1 101.2 100.2 105.5 105.8 103.8 103.8 107.4 103.6 98.3 103.1 98.4 103.1 94.1 101.7 100.6 102.0 98.7 103.2 102.5 103.1 101.6
Q1–2
Q1–3
Q1–4

Footnotes

*Full circle of enterprises with employees, budgetary institutions and non-profit organisations. Source of data: Institutional labour-statistical data collection system (as of 2019 data taken over from administrative sources).
aData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 82.08 thousands.
bData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 40.827 thousands.
cData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 812.039 thousands.
dData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 223.709 thousands.
eData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 226.369 thousands.
fData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 138.977 thousands.
gData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 127.371 thousands.
hData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 72.85 thousands.
iData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 46.332 thousands.
jData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 196.35 thousands.
kData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 215.829 thousands.
lData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 270.588 thousands.
mData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 306.632 thousands.
nData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 298.197 thousands.
oData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 151.884 thousands.
pData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 146.313 thousands.
qData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 62.448 thousands.
rData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 63.453 thousands.
sData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 246.816 thousands.
tData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 306.301 thousands.
uData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 244.22 thousands.
vData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 151.817 thousands.
wData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 92.403 thousands.
xData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 82.514 thousands.
yData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 41.156 thousands.
zData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 817.45 thousands.
aaData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 223.409 thousands.
abData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 226.356 thousands.
acData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 139.031 thousands.
adData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 128.396 thousands.
aeData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 73.028 thousands.
afData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 46.646 thousands.
agData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 197.993 thousands.
ahData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 218.609 thousands.
aiData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 269.819 thousands.
ajData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 307.006 thousands.
akData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 299.113 thousands.
alData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 152.485 thousands.
amData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 146.628 thousands.
anData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 62.487 thousands.
aoData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 64.044 thousands.
apData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 264.055 thousands.
aqData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 306.679 thousands.
arData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 245.468 thousands.
asData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 152.419 thousands.
atData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 93.048 thousands.
auData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 82.297 thousands.
avData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 40.992 thousands.
awData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 814.745 thousands.
axData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 223.559 thousands.
ayData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 226.363 thousands.
azData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 139.004 thousands.
baData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 127.884 thousands.
bbData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 72.939 thousands.
bcData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 46.489 thousands.
bdData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 197.172 thousands.
beData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 217.219 thousands.
bfData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 270.204 thousands.
bgData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 306.819 thousands.
bhData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 298.655 thousands.
biData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 152.185 thousands.
bjData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 146.471 thousands.
bkData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 62.468 thousands.
blData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 63.749 thousands.
bmData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 264.436 thousands.
bnData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 306.49 thousands.
boData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 244.844 thousands.
bpData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 152.118 thousands.
bqData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 92.726 thousands.
brData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 100.0%.
bsData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 99.7%.
btData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 105.7%.
buData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 104.1%.
bvData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 106.9%.
bwData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 103.7%.
bxData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 107.1%.
byData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 99.8%.
bzData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 102.7%.
caData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 95.7%.
cbData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 102.9%.
ccData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 89.3%.
cdData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 102.2%.
ceData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 114.8%.
cfData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 100.2%.
cgData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 99.6%.
chData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 94.6%.
ciData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 101.0%.
cjData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 105.3%.
ckData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 102.5%.
clData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 106.5%.
cmData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 104.3%.
cnData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 107.0%.
coData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 103.4%.
cpData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 103.1%.
cqData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 95.6%.
crData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 89.0%.
csData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 101.8%.
ctData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 100.1%.
cuData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 103.2%.
cvData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 94.7%.
cwData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 100.5%.
cxData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 105.5%.
cyData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 103.3%.
czData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 106.7%.
daData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 104.0%.
dbData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 103.6%.
dcData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 89.2%.
ddData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 102.0%.
deData correction was made on 10 May 2023. The reason for the correction: technical error. The wrong data was: 103.0%.
Source: Hungarian State Treasury; National Tax and Customs Administration.
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