9.18.1.1. Employees aged 15–64 by number of days of paid leave entitled in 2019, Q1 2020*

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Denomination The respondent was entitled Total The respondent was entitled Total
1–19 20–29 30+ was not entitled to paid leave 1–19 20–29 30+ was not entitled to paid leave
days paid leave days paid leave
thousand persons %
Age group
Total
15–19 7.3 9.3 0.1 6.0 22.7 32.3 41.0 0.3 26.4 100.0
20–24 46.7 168.8 4.3 17.1 237.0 19.7 71.2 1.8 7.2 100.0
25–29 28.5 360.8 12.8 17.5 419.7 6.8 86.0 3.0 4.2 100.0
30–34 19.8 346.7 32.8 12.0 411.3 4.8 84.3 8.0 2.9 100.0
35–39 16.0 324.6 95.7 12.9 449.1 3.6 72.3 21.3 2.9 100.0
40–44 15.9 299.4 271.5 11.8 598.7 2.7 50.0 45.4 2.0 100.0
45–49 17.9 97.0 419.0 10.4 544.3 3.3 17.8 77.0 1.9 100.0
50–54 14.7 54.4 392.3 10.1 471.5 3.1 11.5 83.2 2.1 100.0
55–59 12.9 27.2 315.2 6.9 362.2 3.6 7.5 87.0 1.9 100.0
60–64 6.6 14.2 193.4 10.8 225.0 2.9 6.3 85.9 4.8 100.0
Total 186.4 1 702.5 1 737.1 115.6 3 741.6 5.0 45.5 46.4 3.1 100.0
Male
15–19 4.3 5.8 0.1 4.0 14.1 30.2 41.3 0.5 28.0 100.0
20–24 20.9 100.0 0.7 10.0 131.6 15.9 76.0 0.5 7.6 100.0
25–29 18.6 201.8 5.6 10.4 236.4 7.9 85.4 2.4 4.4 100.0
30–34 9.9 219.8 13.9 6.8 250.3 4.0 87.8 5.5 2.7 100.0
35–39 6.5 200.7 40.3 4.2 251.8 2.6 79.7 16.0 1.7 100.0
40–44 6.0 174.2 124.2 5.8 310.1 1.9 56.2 40.0 1.9 100.0
45–49 10.4 50.7 197.7 6.3 265.2 3.9 19.1 74.6 2.4 100.0
50–54 6.9 30.3 190.2 4.8 232.2 3.0 13.1 81.9 2.1 100.0
55–59 8.0 11.3 156.7 3.5 179.4 4.4 6.3 87.3 2.0 100.0
60–64 3.2 8.2 126.2 2.0 139.5 2.3 5.9 90.4 1.4 100.0
Total 94.6 1 002.7 855.5 57.8 2 010.7 4.7 49.9 42.5 2.9 100.0
Female
15–19 3.1 3.5 – 2.0 8.5 35.8 40.6 – 23.6 100.0
20–24 25.9 68.8 3.6 7.1 105.4 24.5 65.3 3.4 6.8 100.0
25–29 9.9 159.0 7.2 7.1 183.2 5.4 86.8 3.9 3.9 100.0
30–34 9.9 127.0 18.9 5.2 161.0 6.2 78.9 11.7 3.2 100.0
35–39 9.4 123.9 55.4 8.7 197.4 4.8 62.8 28.1 4.4 100.0
40–44 10.0 125.3 147.4 6.0 288.6 3.5 43.4 51.1 2.1 100.0
45–49 7.4 46.3 221.3 4.1 279.1 2.7 16.6 79.3 1.5 100.0
50–54 7.8 24.1 202.1 5.3 239.3 3.3 10.1 84.4 2.2 100.0
55–59 5.0 15.9 158.5 3.4 182.8 2.7 8.7 86.7 1.9 100.0
60–64 3.4 6.1 67.2 8.8 85.5 4.0 7.1 78.6 10.3 100.0
Total 91.8 699.8 881.6 57.7 1 730.9 5.3 40.4 50.9 3.3 100.0
Educational attainment
Total
At most 8 grades of primary school 48.8 188.4 179.4 36.3 452.9 10.8 41.6 39.6 8.0 100.0
Vocational school, apprentice school 44.2 462.1 515.6 31.3 1 053.2 4.2 43.9 49.0 3.0 100.0
Secondary general school 27.4 276.9 168.5 19.0 491.9 5.6 56.3 34.3 3.9 100.0
Secondary vocational school 37.6 352.4 363.6 14.4 767.9 4.9 45.9 47.3 1.9 100.0
College, university, PhD, DLA 28.4 422.7 510.0 14.6 975.6 2.9 43.3 52.3 1.5 100.0
Male
At most 8 grades of primary school 24.3 112.0 86.7 22.2 245.2 9.9 45.7 35.3 9.1 100.0
Vocational school, apprentice school 28.4 333.7 351.9 17.9 732.0 3.9 45.6 48.1 2.5 100.0
Secondary general school 10.8 127.2 62.6 4.3 204.9 5.3 62.1 30.6 2.1 100.0
Secondary vocational school 16.7 218.7 164.5 6.4 406.2 4.1 53.8 40.5 1.6 100.0
College, university, PhD, DLA 14.4 211.1 189.8 7.0 422.3 3.4 50.0 45.0 1.7 100.0
Female
At most 8 grades of primary school 24.5 76.4 92.7 14.1 207.7 11.8 36.8 44.6 6.8 100.0
Vocational school, apprentice school 15.8 128.4 163.8 13.3 321.2 4.9 40.0 51.0 4.1 100.0
Secondary general school 16.6 149.7 105.9 14.7 287.0 5.8 52.2 36.9 5.1 100.0
Secondary vocational school 21.0 133.7 199.1 8.0 361.7 5.8 37.0 55.0 2.2 100.0
College, university, PhD, DLA 14.0 211.6 320.2 7.6 553.3 2.5 38.2 57.9 1.4 100.0
Region of residence
Total
Budapest 33.6 311.0 293.4 13.9 651.9 5.2 47.7 45.0 2.1 100.0
Pest 19.5 220.6 242.1 20.2 502.5 3.9 43.9 48.2 4.0 100.0
Central Transdanubia 15.6 212.9 207.6 5.7 441.8 3.5 48.2 47.0 1.3 100.0
Western Transdanubia 13.0 183.0 220.6 6.8 423.4 3.1 43.2 52.1 1.6 100.0
Southern Transdanubia 20.9 123.8 128.9 12.2 285.8 7.3 43.3 45.1 4.3 100.0
Northern Hungary 25.3 192.1 185.3 17.8 420.5 6.0 45.7 44.1 4.2 100.0
Northern Great Plain 39.7 241.2 240.5 19.0 540.4 7.4 44.6 44.5 3.5 100.0
Southern Great Plain 18.6 217.9 218.6 20.1 475.3 3.9 45.9 46.0 4.2 100.0
Male
Budapest 26.6 168.8 130.6 5.6 331.5 8.0 50.9 39.4 1.7 100.0
Pest 6.4 132.3 116.8 10.3 265.8 2.4 49.8 43.9 3.9 100.0
Central Transdanubia 6.4 126.0 106.5 3.4 242.2 2.6 52.0 44.0 1.4 100.0
Western Transdanubia 6.1 111.4 111.6 2.0 231.2 2.6 48.2 48.3 0.9 100.0
Southern Transdanubia 10.1 69.0 68.3 6.8 154.2 6.5 44.7 44.3 4.4 100.0
Northern Hungary 10.9 116.3 95.2 8.7 231.1 4.7 50.3 41.2 3.8 100.0
Northern Great Plain 18.3 145.2 119.9 11.2 294.6 6.2 49.3 40.7 3.8 100.0
Southern Great Plain 9.7 133.8 106.7 9.9 260.1 3.7 51.4 41.0 3.8 100.0
Female
Budapest 7.0 142.3 162.8 8.3 320.4 2.2 44.4 50.8 2.6 100.0
Pest 13.1 88.4 125.4 9.9 236.7 5.5 37.3 53.0 4.2 100.0
Central Transdanubia 9.2 86.9 101.0 2.4 199.6 4.6 43.6 50.6 1.2 100.0
Western Transdanubia 6.9 71.5 109.0 4.7 192.2 3.6 37.2 56.7 2.5 100.0
Southern Transdanubia 10.8 54.8 60.5 5.4 131.6 8.2 41.6 46.0 4.1 100.0
Northern Hungary 14.4 75.8 90.1 9.1 189.4 7.6 40.0 47.6 4.8 100.0
Northern Great Plain 21.5 96.0 120.6 7.8 245.9 8.7 39.0 49.1 3.2 100.0
Southern Great Plain 8.9 84.2 112.0 10.2 215.3 4.1 39.1 52.0 4.7 100.0
The administrative classification of residence
Total
town 70.5 789.6 836.5 50.8 1 747.4 4.0 45.2 47.9 2.9 100.0
village 82.3 601.9 607.2 50.9 1 342.3 6.1 44.8 45.2 3.8 100.0
Budapest 33.6 311.0 293.4 13.9 651.9 5.2 47.7 45.0 2.1 100.0
Male
town 29.8 467.0 407.1 23.7 927.6 3.2 50.3 43.9 2.6 100.0
village 38.1 367.0 317.8 28.6 751.5 5.1 48.8 42.3 3.8 100.0
Budapest 26.6 168.8 130.6 5.6 331.5 8.0 50.9 39.4 1.7 100.0
Female
town 40.7 322.6 429.4 27.2 819.8 5.0 39.3 52.4 3.3 100.0
village 44.2 234.9 289.4 22.3 590.8 7.5 39.8 49.0 3.8 100.0
Budapest 7.0 142.3 162.8 8.3 320.4 2.2 44.4 50.8 2.6 100.0
Number of children
Total
no children under 15 126.3 1 151.8 1 203.2 67.2 2 548.5 5.0 45.2 47.2 2.6 100.0
1 child under 15 38.8 357.0 319.3 26.7 741.7 5.2 48.1 43.0 3.6 100.0
2 children under 15 14.2 159.1 156.9 13.5 343.7 4.1 46.3 45.6 3.9 100.0
3 or more children under 15 7.2 34.6 57.7 8.2 107.7 6.6 32.1 53.6 7.6 100.0
Male
no children under 15 74.0 654.1 585.4 35.9 1 349.4 5.5 48.5 43.4 2.7 100.0
1 child under 15 12.8 218.7 152.7 12.3 396.6 3.2 55.2 38.5 3.1 100.0
2 children under 15 4.0 104.0 81.0 5.8 194.8 2.0 53.4 41.6 3.0 100.0
3 or more children under 15 3.8 25.9 36.4 3.8 69.9 5.4 37.1 52.1 5.5 100.0
Female
no children under 15 52.2 497.7 617.9 31.3 1 199.1 4.4 41.5 51.5 2.6 100.0
1 child under 15 26.0 138.2 166.6 14.3 345.1 7.5 40.1 48.3 4.2 100.0
2 children under 15 10.2 55.2 75.9 7.7 148.9 6.8 37.0 50.9 5.2 100.0
3 or more children under 15 3.4 8.7 21.3 4.4 37.7 9.0 23.0 56.4 11.6 100.0
Part-time or full-time
Total
part-time 25.4 53.4 62.4 35.0 176.1 14.4 30.3 35.4 19.8 100.0
full-time 161.0 1 649.1 1 674.7 80.6 3 565.4 4.5 46.3 47.0 2.3 100.0
Male
part-time 9.5 19.4 16.2 11.8 56.9 16.8 34.1 28.5 20.7 100.0
full-time 85.0 983.4 839.3 46.1 1 953.8 4.4 50.3 43.0 2.4 100.0
Female
part-time 15.9 34.0 46.2 23.2 119.2 13.3 28.5 38.7 19.4 100.0
full-time 76.0 665.8 835.4 34.5 1 611.7 4.7 41.3 51.8 2.1 100.0
Main activity of employer – NACE Rev.
Total
agriculture 6.6 60.5 62.1 13.4 142.5 4.7 42.4 43.6 9.4 100.0
industry 58.0 621.5 553.1 37.4 1 270.1 4.6 48.9 43.5 2.9 100.0
service 121.7 1 020.5 1 121.9 64.8 2 329.0 5.2 43.8 48.2 2.8 100.0
Male
agriculture 4.4 48.4 46.3 7.7 106.9 4.1 45.3 43.3 7.2 100.0
industry 41.9 464.0 365.0 29.0 899.8 4.7 51.6 40.6 3.2 100.0
service 48.3 490.3 444.2 21.1 1 003.9 4.8 48.8 44.2 2.1 100.0
Female
agriculture 2.2 12.0 15.8 5.6 35.6 6.2 33.8 44.3 15.8 100.0
industry 16.2 157.6 188.1 8.4 370.3 4.4 42.6 50.8 2.3 100.0
service 73.5 530.2 677.7 43.7 1 325.0 5.5 40.0 51.1 3.3 100.0
Occupation – FEOR
Total
intellectual 54.7 695.4 804.0 34.3 1 588.5 3.4 43.8 50.6 2.2 100.0
manual 131.7 1 007.1 933.1 81.2 2 153.1 6.1 46.8 43.3 3.8 100.0
Male
intellectual 22.5 325.1 274.0 8.4 630.0 3.6 51.6 43.5 1.3 100.0
manual 72.1 677.6 581.5 49.4 1 380.6 5.2 49.1 42.1 3.6 100.0
Female
intellectual 32.3 370.3 530.0 25.9 958.5 3.4 38.6 55.3 2.7 100.0
manual 59.6 329.5 351.6 31.8 772.5 7.7 42.7 45.5 4.1 100.0
Unusual work schedule
Total
yes, of which: 39.4 375.8 343.6 15.4 774.2 5.1 48.5 44.4 2.0 100.0
in 2 shifts 17.2 147.7 136.5 6.3 307.6 5.6 48.0 44.4 2.0 100.0
in 3 shifts 8.7 119.1 89.5 2.4 219.7 3.9 54.2 40.8 1.1 100.0
other, varying shifts 13.5 109.0 117.6 6.8 247.0 5.5 44.1 47.6 2.8 100.0
no 147.0 1 326.7 1 393.5 100.1 2 967.4 5.0 44.7 47.0 3.4 100.0
Male
yes, of which: 19.2 238.5 197.4 6.8 461.9 4.2 51.6 42.7 1.5 100.0
in 2 shifts 6.1 81.6 61.0 3.1 151.9 4.0 53.7 40.2 2.1 100.0
in 3 shifts 4.8 76.7 48.5 0.9 130.9 3.7 58.6 37.1 0.7 100.0
other, varying shifts 8.3 80.1 87.9 2.8 179.1 4.6 44.7 49.1 1.6 100.0
no 75.3 764.3 658.1 51.0 1 548.7 4.9 49.3 42.5 3.3 100.0
Female
yes, of which: 20.2 137.3 146.2 8.6 312.3 6.5 44.0 46.8 2.7 100.0
in 2 shifts 11.1 66.1 75.5 3.1 155.7 7.1 42.4 48.5 2.0 100.0
in 3 shifts 3.8 42.4 41.0 1.5 88.7 4.3 47.7 46.2 1.7 100.0
other, varying shifts 5.2 28.9 29.7 4.0 67.8 7.7 42.6 43.9 5.8 100.0
no 71.7 562.5 735.3 49.1 1 418.6 5.1 39.6 51.8 3.5 100.0
Unusual working timea
Total
yes, of which: 67.5 771.9 706.1 47.6 1 592.9 4.2 48.5 44.3 3.0 100.0
evening 47.6 547.3 488.3 25.3 1 108.4 4.3 49.4 44.1 2.3 100.0
night 21.4 276.2 244.3 9.7 551.6 3.9 50.1 44.3 1.8 100.0
Saturday 58.1 662.9 604.5 43.3 1 368.8 4.2 48.4 44.2 3.2 100.0
Sunday 37.2 384.0 360.9 25.4 807.5 4.6 47.6 44.7 3.1 100.0
no 119.0 930.7 1 031.0 68.0 2 148.6 5.5 43.3 48.0 3.2 100.0
Male
yes, of which: 32.5 488.8 401.5 27.5 950.3 3.4 51.4 42.3 2.9 100.0
evening 22.9 352.7 277.7 13.1 666.3 3.4 52.9 41.7 2.0 100.0
night 10.9 196.7 155.0 4.4 367.0 3.0 53.6 42.2 1.2 100.0
Saturday 28.2 421.8 346.6 23.9 820.6 3.4 51.4 42.2 2.9 100.0
Sunday 16.8 239.5 211.9 13.1 481.3 3.5 49.8 44.0 2.7 100.0
no 62.0 514.0 454.0 30.4 1 060.3 5.8 48.5 42.8 2.9 100.0
Female
yes, of which: 34.9 283.1 304.5 20.1 642.6 5.4 44.1 47.4 3.1 100.0
evening 24.7 194.6 210.6 12.2 442.1 5.6 44.0 47.6 2.8 100.0
night 10.5 79.5 89.2 5.3 184.6 5.7 43.1 48.4 2.9 100.0
Saturday 29.9 241.1 257.8 19.4 548.2 5.5 44.0 47.0 3.5 100.0
Sunday 20.4 144.5 149.0 12.2 326.1 6.3 44.3 45.7 3.8 100.0
no 56.9 416.7 577.0 37.7 1 088.3 5.2 38.3 53.0 3.5 100.0
Working at home
Total
tipically works in his/her own home 0.7 22.9 25.5 4.9 54.1 1.4 42.4 47.1 9.1 100.0
occasionally works in his/her own home 4.3 67.9 64.9 3.4 140.5 3.1 48.3 46.2 2.4 100.0
newer works in his/her own home 181.3 1 611.7 1 646.7 107.3 3 547.0 5.1 45.4 46.4 3.0 100.0
Male
tipically works in his/her own home – 7.5 11.0 0.9 19.4 – 38.7 56.4 4.9 100.0
occasionally works in his/her own home 4.1 41.1 25.5 0.7 71.4 5.7 57.6 35.8 0.9 100.0
newer works in his/her own home 90.5 954.1 819.0 56.2 1 919.9 4.7 49.7 42.7 2.9 100.0
Female
tipically works in his/her own home 0.7 15.4 14.5 4.0 34.7 2.1 44.5 41.9 11.5 100.0
occasionally works in his/her own home 0.2 26.8 39.4 2.7 69.1 0.3 38.7 57.0 3.9 100.0
newer works in his/her own home 90.9 657.6 827.6 51.0 1 627.2 5.6 40.4 50.9 3.1 100.0
Ownership of employer
Total
pure state/municipial ownership 57.0 425.4 646.8 22.5 1 151.7 5.0 36.9 56.2 2.0 100.0
pure private ownership 115.9 1 184.1 971.6 84.5 2 356.0 4.9 50.3 41.2 3.6 100.0
mixed ownership 2.6 28.1 34.0 1.1 65.8 4.0 42.6 51.7 1.7 100.0
other, do not know 10.9 65.0 84.7 7.5 168.0 6.5 38.7 50.4 4.5 100.0
Male
pure state/municipial ownership 23.3 180.0 247.1 7.0 457.3 5.1 39.4 54.0 1.5 100.0
pure private ownership 65.0 772.2 557.0 48.7 1 443.0 4.5 53.5 38.6 3.4 100.0
mixed ownership 1.5 18.9 20.1 0.1 40.5 3.7 46.6 49.5 0.2 100.0
other, do not know 4.8 31.6 31.4 2.1 69.9 6.9 45.2 44.9 3.0 100.0
Female
pure state/municipial ownership 33.8 245.3 399.8 15.5 694.4 4.9 35.3 57.6 2.2 100.0
pure private ownership 50.9 411.9 414.5 35.8 913.0 5.6 45.1 45.4 3.9 100.0
mixed ownership 1.1 9.2 14.0 1.0 25.3 4.5 36.2 55.2 4.1 100.0
other, do not know 6.0 33.4 53.3 5.4 98.2 6.1 34.0 54.3 5.5 100.0
Employer size
Total
1–10 workers 31.7 246.6 196.4 41.0 515.7 6.2 47.8 38.1 7.9 100.0
11–49 workers 56.6 486.9 482.7 28.8 1 055.0 5.4 46.2 45.8 2.7 100.0
50–499 workers 41.5 449.6 518.6 18.9 1 028.6 4.0 43.7 50.4 1.8 100.0
at least 500 workers 24.4 323.2 346.2 8.7 702.4 3.5 46.0 49.3 1.2 100.0
do not know but more than 10 workers 32.2 196.2 193.2 18.3 439.9 7.3 44.6 43.9 4.2 100.0
Male
1–10 workers 13.0 133.4 84.2 23.4 254.0 5.1 52.5 33.2 9.2 100.0
11–49 workers 29.9 290.0 230.7 14.9 565.5 5.3 51.3 40.8 2.6 100.0
50–499 workers 22.3 269.7 252.7 7.3 552.0 4.0 48.9 45.8 1.3 100.0
at least 500 workers 13.6 196.7 179.4 4.1 393.7 3.4 50.0 45.6 1.0 100.0
do not know but more than 10 workers 15.9 113.0 108.5 8.1 245.5 6.5 46.0 44.2 3.3 100.0
Female
1–10 workers 18.7 113.2 112.2 17.6 261.7 7.2 43.3 42.9 6.7 100.0
11–49 workers 26.8 196.9 252.0 13.9 489.5 5.5 40.2 51.5 2.8 100.0
50–499 workers 19.2 180.0 265.9 11.5 476.6 4.0 37.8 55.8 2.4 100.0
at least 500 workers 10.8 126.5 166.8 4.6 308.7 3.5 41.0 54.1 1.5 100.0
do not know but more than 10 workers 16.3 83.2 84.7 10.1 194.4 8.4 42.8 43.6 5.2 100.0
Duration of employment contract
Total
temporary 51.4 95.3 36.5 53.8 237.0 21.7 40.2 15.4 22.7 100.0
permanent 135.0 1 607.2 1 700.5 61.8 3 504.6 3.9 45.9 48.5 1.8 100.0
Male
temporary 24.7 41.2 17.2 29.0 112.1 22.0 36.8 15.3 25.9 100.0
permanent 69.9 961.5 838.3 28.8 1 898.6 3.7 50.6 44.2 1.5 100.0
Female
temporary 26.7 54.0 19.4 24.8 124.9 21.4 43.3 15.5 19.8 100.0
permanent 65.1 645.7 862.2 32.9 1 606.0 4.1 40.2 53.7 2.1 100.0
*Source: Labour Force Survey, HCSO  aOccasionally or regularly 

© Hungarian Central Statistical Office, 2011