9.18.5.4. Employees aged 15–64 by judging the usefulness of their tasks connected to their work, Q1 2020*

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Denomination The respondent Total The respondent Total
always judge useful mostly judge useful never judge useful always judge useful mostly judge useful never judge useful
the tasks connected to his/her work the tasks connected to his/her work
thousand persons %
Age group
Total
15–24 211.8 45.9 2.0 259.7 81.6 17.7 0.8 100.0
25–54 2 496.8 376.5 21.3 2 894.6 86.3 13.0 0.7 100.0
55–64 506.5 74.5 6.3 587.3 86.3 12.7 1.1 100.0
Total 3 215.2 496.8 29.6 3 741.6 85.9 13.3 0.8 100.0
Male
15–24 119.3 25.0 1.4 145.7 81.9 17.2 1.0 100.0
25–54 1 325.5 208.9 11.6 1 546.0 85.7 13.5 0.7 100.0
55–64 274.0 40.7 4.2 319.0 85.9 12.8 1.3 100.0
Total 1 718.8 274.6 17.2 2 010.7 85.5 13.7 0.9 100.0
Female
15–24 92.6 20.9 0.5 113.9 81.2 18.3 0.5 100.0
25–54 1 171.3 167.5 9.8 1 348.6 86.9 12.4 0.7 100.0
55–64 232.5 33.8 2.0 268.3 86.7 12.6 0.8 100.0
Total 1 496.4 222.2 12.3 1 730.9 86.5 12.8 0.7 100.0
Educational attainment
Total
At most 8 grades of primary school 357.3 88.7 6.9 452.9 78.9 19.6 1.5 100.0
Vocational school, apprentice school 890.7 156.0 6.4 1 053.2 84.6 14.8 0.6 100.0
Secondary general school 409.0 76.3 6.7 491.9 83.1 15.5 1.4 100.0
Secondary vocational school 676.3 86.8 4.8 767.9 88.1 11.3 0.6 100.0
College, university, PhD, DLA 881.9 89.0 4.8 975.6 90.4 9.1 0.5 100.0
Male
At most 8 grades of primary school 193.5 46.6 5.1 245.2 78.9 19.0 2.1 100.0
Vocational school, apprentice school 622.9 105.0 4.1 732.0 85.1 14.3 0.6 100.0
Secondary general school 172.5 30.2 2.3 204.9 84.2 14.7 1.1 100.0
Secondary vocational school 354.7 47.8 3.8 406.2 87.3 11.8 0.9 100.0
College, university, PhD, DLA 375.2 45.1 2.0 422.3 88.8 10.7 0.5 100.0
Female
At most 8 grades of primary school 163.8 42.1 1.8 207.7 78.9 20.3 0.9 100.0
Vocational school, apprentice school 267.9 51.0 2.3 321.2 83.4 15.9 0.7 100.0
Secondary general school 236.4 46.1 4.4 287.0 82.4 16.1 1.5 100.0
Secondary vocational school 321.7 39.0 1.0 361.7 88.9 10.8 0.3 100.0
College, university, PhD, DLA 506.6 43.9 2.8 553.3 91.6 7.9 0.5 100.0
Region of residence
Total
Central Hungary 986.6 152.9 15.0 1 154.4 85.5 13.2 1.3 100.0
Transdanubia 956.3 188.5 6.1 1 150.9 83.1 16.4 0.5 100.0
Great Plain and North 1 272.4 155.4 8.4 1 436.2 88.6 10.8 0.6 100.0
Male
Central Hungary 506.0 82.2 9.2 597.4 84.7 13.8 1.5 100.0
Transdanubia 520.4 103.7 3.5 627.6 82.9 16.5 0.6 100.0
Great Plain and North 692.5 88.8 4.5 785.7 88.1 11.3 0.6 100.0
Female
Central Hungary 480.6 70.7 5.8 557.1 86.3 12.7 1.0 100.0
Transdanubia 435.9 84.8 2.6 523.4 83.3 16.2 0.5 100.0
Great Plain and North 579.9 66.6 4.0 650.5 89.1 10.2 0.6 100.0
The administrative classification of residence
Total
town 1 546.6 190.8 10.0 1 747.4 88.5 10.9 0.6 100.0
village 1 131.4 199.5 11.3 1 342.3 84.3 14.9 0.8 100.0
Budapest 537.2 106.5 8.3 651.9 82.4 16.3 1.3 100.0
Male
town 817.5 106.1 4.0 927.6 88.1 11.4 0.4 100.0
village 632.1 112.2 7.3 751.5 84.1 14.9 1.0 100.0
Budapest 269.2 56.4 6.0 331.5 81.2 17.0 1.8 100.0
Female
town 729.1 84.7 6.0 819.8 88.9 10.3 0.7 100.0
village 499.4 87.4 4.0 590.8 84.5 14.8 0.7 100.0
Budapest 268.0 50.1 2.3 320.4 83.6 15.6 0.7 100.0
Number of children
Total
no children under 15 2 162.5 364.1 21.8 2 548.5 84.9 14.3 0.9 100.0
1 child under 15 657.1 80.7 3.9 741.7 88.6 10.9 0.5 100.0
2 children under 15 299.8 40.9 3.0 343.7 87.2 11.9 0.9 100.0
3 or more children under 15 95.7 11.0 0.9 107.7 88.9 10.2 0.9 100.0
Male
no children under 15 1 134.7 201.3 13.4 1 349.4 84.1 14.9 1.0 100.0
1 child under 15 352.5 41.9 2.2 396.6 88.9 10.6 0.6 100.0
2 children under 15 170.0 23.9 0.9 194.8 87.3 12.3 0.5 100.0
3 or more children under 15 61.7 7.5 0.8 69.9 88.1 10.8 1.1 100.0
Female
no children under 15 1 027.8 162.8 8.4 1 199.1 85.7 13.6 0.7 100.0
1 child under 15 304.6 38.8 1.7 345.1 88.3 11.2 0.5 100.0
2 children under 15 129.9 17.0 2.1 148.9 87.2 11.4 1.4 100.0
3 or more children under 15 34.1 3.5 0.2 37.7 90.4 9.2 0.4 100.0
Part-time or full-time
Total
part-time 146.4 27.0 2.7 176.1 83.1 15.3 1.6 100.0
full-time 3 068.8 469.8 26.9 3 565.4 86.1 13.2 0.8 100.0
Male
part-time 45.4 9.3 2.2 56.9 79.8 16.3 3.9 100.0
full-time 1 673.4 265.3 15.0 1 953.8 85.6 13.6 0.8 100.0
Female
part-time 101.0 17.7 0.5 119.2 84.7 14.8 0.5 100.0
full-time 1 395.4 204.5 11.8 1 611.7 86.6 12.7 0.7 100.0
Main activity of employer – NACE Rev.
Total
agriculture 119.5 19.7 3.4 142.5 83.8 13.8 2.4 100.0
industry 1 066.8 195.0 8.3 1 270.1 84.0 15.4 0.7 100.0
service 2 029.0 282.1 17.9 2 329.0 87.1 12.1 0.8 100.0
Male
agriculture 90.6 14.1 2.2 106.9 84.8 13.2 2.1 100.0
industry 764.0 131.2 4.6 899.8 84.9 14.6 0.5 100.0
service 864.2 129.3 10.4 1 003.9 86.1 12.9 1.0 100.0
Female
agriculture 28.8 5.6 1.2 35.6 81.0 15.7 3.3 100.0
industry 302.8 63.8 3.7 370.3 81.8 17.2 1.0 100.0
service 1 164.7 152.8 7.5 1 325.0 87.9 11.5 0.6 100.0
Occupation – FEOR
Total
intellectual 1 423.5 157.5 7.5 1 588.5 89.6 9.9 0.5 100.0
manual 1 791.7 339.3 22.1 2 153.1 83.2 15.8 1.0 100.0
Male
intellectual 554.9 72.2 2.9 630.0 88.1 11.5 0.5 100.0
manual 1 163.9 202.5 14.3 1 380.6 84.3 14.7 1.0 100.0
Female
intellectual 868.6 85.3 4.5 958.5 90.6 8.9 0.5 100.0
manual 627.8 136.8 7.8 772.5 81.3 17.7 1.0 100.0
Unusual work schedule
Total
yes, of which: 662.7 107.7 3.8 774.2 85.6 13.9 0.5 100.0
in 2 shifts 259.5 46.8 1.3 307.6 84.4 15.2 0.4 100.0
in 3 shifts 185.3 32.8 1.5 219.7 84.4 14.9 0.7 100.0
other, varying shifts 217.9 28.1 1.0 247.0 88.2 11.4 0.4 100.0
no 2 552.5 389.1 25.7 2 967.4 86.0 13.1 0.9 100.0
Male
yes, of which: 396.7 63.8 1.5 461.9 85.9 13.8 0.3 100.0
in 2 shifts 127.5 23.9 0.4 151.9 84.0 15.8 0.3 100.0
in 3 shifts 111.6 18.8 0.5 130.9 85.2 14.4 0.4 100.0
other, varying shifts 157.6 21.1 0.5 179.1 88.0 11.8 0.3 100.0
no 1 322.1 210.8 15.8 1 548.7 85.4 13.6 1.0 100.0
Female
yes, of which: 266.0 43.9 2.4 312.3 85.2 14.1 0.8 100.0
in 2 shifts 131.9 22.9 0.9 155.7 84.7 14.7 0.6 100.0
in 3 shifts 73.8 14.0 1.0 88.7 83.1 15.8 1.1 100.0
other, varying shifts 60.3 7.0 0.5 67.8 88.9 10.4 0.7 100.0
no 1 230.4 178.2 10.0 1 418.6 86.7 12.6 0.7 100.0
Unusual working timea
Total
yes, of which: 1 353.7 226.5 12.7 1 592.9 85.0 14.2 0.8 100.0
evening 936.5 164.4 7.5 1 108.4 84.5 14.8 0.7 100.0
night 478.0 68.8 4.8 551.6 86.7 12.5 0.9 100.0
Saturday 1 167.7 189.3 11.8 1 368.8 85.3 13.8 0.9 100.0
Sunday 694.2 105.9 7.3 807.5 86.0 13.1 0.9 100.0
no 1 861.5 270.3 16.9 2 148.6 86.6 12.6 0.8 100.0
Male
yes, of which: 807.7 133.8 8.8 950.3 85.0 14.1 0.9 100.0
evening 564.5 97.9 3.9 666.3 84.7 14.7 0.6 100.0
night 319.8 44.6 2.7 367.0 87.1 12.2 0.7 100.0
Saturday 701.2 111.2 8.1 820.6 85.5 13.6 1.0 100.0
Sunday 417.5 59.6 4.2 481.3 86.7 12.4 0.9 100.0
no 911.1 140.8 8.4 1 060.3 85.9 13.3 0.8 100.0
Female
yes, of which: 546.0 92.7 3.9 642.6 85.0 14.4 0.6 100.0
evening 372.0 66.5 3.6 442.1 84.1 15.1 0.8 100.0
night 158.3 24.2 2.1 184.6 85.8 13.1 1.1 100.0
Saturday 466.4 78.1 3.7 548.2 85.1 14.2 0.7 100.0
Sunday 276.7 46.3 3.1 326.1 84.8 14.2 1.0 100.0
no 950.4 129.4 8.4 1 088.3 87.3 11.9 0.8 100.0
Working at home
Total
tipically works in his/her own home 51.9 1.7 0.5 54.1 95.9 3.1 1.0 100.0
occasionally works in his/her own home 125.1 13.7 1.7 140.5 89.1 9.8 1.2 100.0
newer works in his/her own home 3 038.2 481.4 27.4 3 547.0 85.7 13.6 0.8 100.0
Male
tipically works in his/her own home 17.8 1.1 0.5 19.4 91.9 5.5 2.7 100.0
occasionally works in his/her own home 59.2 11.2 1.0 71.4 82.9 15.7 1.4 100.0
newer works in his/her own home 1 641.8 262.3 15.7 1 919.9 85.5 13.7 0.8 100.0
Female
tipically works in his/her own home 34.1 0.6 – 34.7 98.2 1.8 – 100.0
occasionally works in his/her own home 65.9 2.5 0.6 69.1 95.4 3.6 0.9 100.0
newer works in his/her own home 1 396.4 219.0 11.7 1 627.2 85.8 13.5 0.7 100.0
Ownership of employer
Total
pure state/municipial ownership 1 017.7 123.6 10.4 1 151.7 88.4 10.7 0.9 100.0
pure private ownership 2 002.4 335.4 18.2 2 356.0 85.0 14.2 0.8 100.0
mixed ownership 53.7 11.6 0.5 65.8 81.6 17.7 0.8 100.0
other, do not know 141.4 26.2 0.5 168.0 84.1 15.6 0.3 100.0
Male
pure state/municipial ownership 401.0 51.5 4.8 457.3 87.7 11.3 1.1 100.0
pure private ownership 1 226.6 204.9 11.4 1 443.0 85.0 14.2 0.8 100.0
mixed ownership 33.6 6.4 0.5 40.5 82.9 15.8 1.3 100.0
other, do not know 57.6 11.7 0.5 69.9 82.5 16.8 0.7 100.0
Female
pure state/municipial ownership 616.7 72.1 5.5 694.4 88.8 10.4 0.8 100.0
pure private ownership 775.8 130.4 6.8 913.0 85.0 14.3 0.7 100.0
mixed ownership 20.1 5.2 – 25.3 79.4 20.6 – 100.0
other, do not know 83.8 14.4 – 98.2 85.3 14.7 – 100.0
Employer size
Total
1–10 workers 450.6 60.5 4.5 515.7 87.4 11.7 0.9 100.0
11–49 workers 884.7 160.6 9.8 1 055.0 83.9 15.2 0.9 100.0
50–499 workers 867.9 153.7 7.0 1 028.6 84.4 14.9 0.7 100.0
at least 500 workers 622.7 76.9 2.8 702.4 88.7 10.9 0.4 100.0
do not know but more than 10 workers 389.3 45.1 5.5 439.9 88.5 10.2 1.3 100.0
Male
1–10 workers 221.3 29.3 3.4 254.0 87.1 11.5 1.3 100.0
11–49 workers 464.0 94.4 7.0 565.5 82.1 16.7 1.2 100.0
50–499 workers 462.4 87.5 2.1 552.0 83.8 15.9 0.4 100.0
at least 500 workers 348.9 43.0 1.7 393.7 88.6 10.9 0.4 100.0
do not know but more than 10 workers 222.2 20.3 3.1 245.5 90.5 8.3 1.2 100.0
Female
1–10 workers 229.4 31.2 1.1 261.7 87.6 11.9 0.4 100.0
11–49 workers 420.6 66.1 2.8 489.5 85.9 13.5 0.6 100.0
50–499 workers 405.5 66.2 4.9 476.6 85.1 13.9 1.0 100.0
at least 500 workers 273.8 33.9 1.0 308.7 88.7 11.0 0.3 100.0
do not know but more than 10 workers 167.1 24.7 2.5 194.4 86.0 12.7 1.3 100.0
Duration of employment contract
Total
temporary 190.0 42.2 4.9 237.0 80.1 17.8 2.1 100.0
permanent 3 025.2 454.6 24.7 3 504.6 86.3 13.0 0.7 100.0
Male
temporary 87.1 22.8 2.2 112.1 77.7 20.3 2.0 100.0
permanent 1 631.7 251.8 15.0 1 898.6 85.9 13.3 0.8 100.0
Female
temporary 102.9 19.4 2.7 124.9 82.3 15.5 2.1 100.0
permanent 1 393.5 202.8 9.7 1 606.0 86.8 12.6 0.6 100.0
*Source: Labour Force Survey, HCSO  aOccasionally or regularly 

© Hungarian Central Statistical Office, 2011