9.18.3.6. Employees aged 15–64 by whether the collective agreement affects their working conditions, Q1 2020*

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Denomination The respondent's working conditions are Total The respondent's working conditions are Total
affected by the collective agreement not affected by the collective agreement do not know if it is affected by the collective agreement affected by the collective agreement not affected by the collective agreement do not know if it is affected by the collective agreement
thousand persons %
Age group
Total
15–19 0.6 1.3 0.0 1.9 32.1 66.0 1.9 100.0
20–24 10.9 11.0 3.9 25.8 42.4 42.6 15.0 100.0
25–29 34.3 21.4 8.3 64.0 53.6 33.4 13.0 100.0
30–34 33.6 22.2 11.3 67.1 50.1 33.0 16.9 100.0
35–39 38.3 30.3 9.9 78.5 48.7 38.6 12.6 100.0
40–44 55.0 37.7 15.1 107.8 51.0 35.0 14.0 100.0
45–49 48.6 51.0 14.6 114.2 42.6 44.7 12.8 100.0
50–54 51.0 38.9 13.0 102.9 49.6 37.8 12.6 100.0
55–59 41.8 28.4 10.4 80.5 51.9 35.3 12.9 100.0
60–64 23.6 18.4 6.6 48.6 48.5 38.0 13.5 100.0
Total 337.7 260.6 93.1 691.3 48.8 37.7 13.5 100.0
Male
15–19 – 0.7 – 0.7 – 100.0 – 100.0
20–24 5.8 5.8 2.8 14.4 40.2 40.5 19.3 100.0
25–29 17.4 11.6 4.8 33.8 51.5 34.3 14.3 100.0
30–34 20.8 14.4 6.9 42.1 49.5 34.3 16.3 100.0
35–39 23.1 14.2 5.8 43.1 53.6 33.0 13.4 100.0
40–44 27.0 17.6 9.2 53.9 50.2 32.7 17.1 100.0
45–49 24.4 21.5 3.5 49.4 49.4 43.5 7.1 100.0
50–54 27.0 18.2 4.6 49.8 54.2 36.5 9.3 100.0
55–59 21.5 15.6 4.0 41.0 52.3 38.1 9.6 100.0
60–64 16.0 10.8 4.2 31.0 51.7 34.8 13.5 100.0
Total 183.0 130.5 45.7 359.2 50.9 36.3 12.7 100.0
Female
15–19 0.6 0.5 0.0 1.2 51.7 45.2 3.1 100.0
20–24 5.1 5.1 1.1 11.4 45.2 45.2 9.6 100.0
25–29 16.9 9.8 3.5 30.2 55.9 32.5 11.6 100.0
30–34 12.8 7.7 4.5 25.0 51.2 30.9 17.8 100.0
35–39 15.2 16.1 4.2 35.5 42.9 45.4 11.7 100.0
40–44 27.9 20.1 5.9 53.9 51.8 37.2 10.9 100.0
45–49 24.3 29.5 11.1 64.8 37.4 45.5 17.1 100.0
50–54 24.0 20.7 8.3 53.0 45.2 39.0 15.7 100.0
55–59 20.3 12.8 6.4 39.5 51.4 32.3 16.3 100.0
60–64 7.6 7.7 2.4 17.6 43.1 43.5 13.4 100.0
Total 154.7 130.1 47.3 332.1 46.6 39.2 14.3 100.0
Educational attainment
Total
At most 8 grades of primary school 17.5 15.7 7.8 41.0 42.7 38.3 19.0 100.0
Vocational school, apprentice school 78.2 52.8 22.8 153.7 50.8 34.3 14.8 100.0
Secondary general school 41.0 34.1 11.2 86.3 47.5 39.5 12.9 100.0
Secondary vocational school 81.5 55.3 21.5 158.3 51.4 35.0 13.6 100.0
College, university, PhD, DLA 119.5 102.6 29.8 251.9 47.5 40.7 11.8 100.0
Male
At most 8 grades of primary school 9.7 6.5 3.6 19.7 49.1 32.7 18.2 100.0
Vocational school, apprentice school 52.1 37.2 15.2 104.5 49.9 35.6 14.5 100.0
Secondary general school 19.5 13.4 3.6 36.4 53.4 36.8 9.8 100.0
Secondary vocational school 47.4 31.2 10.8 89.4 53.0 34.9 12.1 100.0
College, university, PhD, DLA 54.4 42.3 12.6 109.3 49.8 38.7 11.5 100.0
Female
At most 8 grades of primary school 7.8 9.3 4.2 21.3 36.7 43.5 19.8 100.0
Vocational school, apprentice school 26.1 15.6 7.6 49.3 52.9 31.7 15.4 100.0
Secondary general school 21.6 20.7 7.6 49.9 43.3 41.5 15.2 100.0
Secondary vocational school 34.1 24.2 10.7 69.0 49.4 35.0 15.5 100.0
College, university, PhD, DLA 65.1 60.3 17.2 142.6 45.7 42.3 12.1 100.0
Region of residence
Total
Budapest 61.6 69.7 17.7 148.9 41.3 46.8 11.9 100.0
Pest 26.4 32.8 10.9 70.1 37.6 46.8 15.6 100.0
Central Transdanubia 59.9 13.4 17.2 90.4 66.2 14.8 19.0 100.0
Western Transdanubia 45.7 26.7 7.5 79.8 57.2 33.4 9.4 100.0
Southern Transdanubia 25.5 19.7 4.9 50.2 50.8 39.4 9.8 100.0
Northern Hngary 56.5 29.6 11.9 98.0 57.7 30.2 12.1 100.0
Northern Great Plain 26.7 41.8 15.2 83.7 31.9 50.0 18.1 100.0
Southern Great Plain 35.6 26.8 7.8 70.2 50.7 38.2 11.1 100.0
Male
Budapest 31.8 31.3 7.9 71.0 44.8 44.1 11.1 100.0
Pest 9.8 16.3 4.0 30.2 32.5 54.1 13.4 100.0
Central Transdanubia 33.7 6.6 8.9 49.2 68.5 13.3 18.2 100.0
Western Transdanubia 26.2 14.4 4.0 44.6 58.8 32.3 8.9 100.0
Southern Transdanubia 13.4 10.5 1.0 24.9 53.9 42.3 3.8 100.0
Northern Hngary 32.9 15.4 6.5 54.7 60.1 28.1 11.8 100.0
Northern Great Plain 14.7 21.7 9.4 45.8 32.2 47.3 20.5 100.0
Southern Great Plain 20.4 14.4 4.0 38.9 52.5 37.1 10.4 100.0
Female
Budapest 29.8 38.4 9.8 78.0 38.2 49.2 12.6 100.0
Pest 16.5 16.5 6.9 39.9 41.4 41.4 17.2 100.0
Central Transdanubia 26.1 6.8 8.3 41.2 63.4 16.5 20.0 100.0
Western Transdanubia 19.5 12.3 3.5 35.3 55.2 34.8 10.0 100.0
Southern Transdanubia 12.1 9.2 4.0 25.3 47.7 36.5 15.7 100.0
Northern Hngary 23.7 14.2 5.4 43.3 54.7 32.9 12.5 100.0
Northern Great Plain 11.9 20.2 5.8 37.8 31.5 53.3 15.2 100.0
Southern Great Plain 15.1 12.4 3.7 31.3 48.4 39.6 12.0 100.0
The administrative classification of residence
Total
town 177.1 128.5 54.0 359.6 49.3 35.7 15.0 100.0
village 99.0 62.4 21.4 182.8 54.2 34.2 11.7 100.0
Budapest 61.6 69.7 17.7 148.9 41.3 46.8 11.9 100.0
Male
town 95.9 63.5 26.8 186.2 51.5 34.1 14.4 100.0
village 55.3 35.8 11.0 102.1 54.2 35.0 10.8 100.0
Budapest 31.8 31.3 7.9 71.0 44.8 44.1 11.1 100.0
Female
town 81.3 65.0 27.2 173.4 46.9 37.5 15.7 100.0
village 43.7 26.7 10.4 80.7 54.1 33.0 12.8 100.0
Budapest 29.8 38.4 9.8 78.0 38.2 49.2 12.6 100.0
Number of children
Total
no children under 15 234.2 182.2 67.4 483.8 48.4 37.7 13.9 100.0
1 child under 15 61.3 45.5 17.3 124.0 49.4 36.7 13.9 100.0
2 children under 15 33.5 26.2 6.5 66.2 50.6 39.6 9.8 100.0
3 or more children under 15 8.8 6.6 1.9 17.3 50.7 38.2 11.1 100.0
Male
no children under 15 126.4 87.7 32.1 246.2 51.3 35.6 13.0 100.0
1 child under 15 31.3 23.8 9.3 64.4 48.6 37.0 14.4 100.0
2 children under 15 18.6 13.7 2.9 35.2 52.8 38.9 8.2 100.0
3 or more children under 15 6.7 5.3 1.5 13.4 49.7 39.5 10.8 100.0
Female
no children under 15 107.8 94.6 35.3 237.6 45.4 39.8 14.8 100.0
1 child under 15 30.0 21.6 8.0 59.6 50.3 36.3 13.4 100.0
2 children under 15 14.9 12.5 3.6 31.0 48.0 40.4 11.5 100.0
3 or more children under 15 2.1 1.3 0.5 3.9 54.1 33.9 12.0 100.0
Part-time or full-time
Total
part-time 9.2 7.0 2.7 18.9 48.7 37.1 14.2 100.0
full-time 328.5 253.5 90.4 672.4 48.9 37.7 13.4 100.0
Male
part-time 1.5 2.2 0.7 4.4 35.1 49.8 15.1 100.0
full-time 181.4 128.3 45.1 354.8 51.1 36.2 12.7 100.0
Female
part-time 7.7 4.8 2.0 14.6 52.8 33.3 13.9 100.0
full-time 147.0 125.2 45.3 317.6 46.3 39.4 14.3 100.0
Main activity of employer – NACE Rev.
Total
agriculture 1.8 2.1 0.7 4.7 39.1 44.8 16.0 100.0
industry 135.3 78.1 35.5 248.9 54.4 31.4 14.3 100.0
service 200.6 180.4 56.8 437.8 45.8 41.2 13.0 100.0
Male
agriculture 1.3 1.2 0.7 3.1 39.9 38.4 21.8 100.0
industry 92.0 52.5 25.4 169.9 54.1 30.9 15.0 100.0
service 89.7 76.8 19.6 186.1 48.2 41.2 10.6 100.0
Female
agriculture 0.6 0.9 0.1 1.5 37.6 58.2 4.2 100.0
industry 43.3 25.5 10.1 78.9 54.8 32.4 12.8 100.0
service 110.9 103.6 37.2 251.7 44.1 41.2 14.8 100.0
Occupation – FEOR
Total
intellectual 188.1 153.6 47.3 388.9 48.4 39.5 12.2 100.0
manual 149.6 107.0 45.8 302.4 49.5 35.4 15.1 100.0
Male
intellectual 78.5 57.0 16.2 151.8 51.7 37.6 10.7 100.0
manual 104.5 73.5 29.5 207.4 50.4 35.4 14.2 100.0
Female
intellectual 109.6 96.5 31.0 237.2 46.2 40.7 13.1 100.0
manual 45.1 33.5 16.3 94.9 47.5 35.3 17.2 100.0
Unusual work schedule
Total
yes, of which: 102.4 59.5 30.6 192.5 53.2 30.9 15.9 100.0
in 2 shifts 31.3 26.0 13.0 70.2 44.5 37.0 18.5 100.0
in 3 shifts 43.2 17.0 6.6 66.8 64.7 25.4 9.9 100.0
other, varying shifts 27.9 16.5 11.1 55.5 50.3 29.7 19.9 100.0
no 235.3 201.1 62.4 498.8 47.2 40.3 12.5 100.0
Male
yes, of which: 71.1 35.4 16.4 122.9 57.9 28.8 13.4 100.0
in 2 shifts 15.9 15.2 4.8 35.8 44.3 42.4 13.3 100.0
in 3 shifts 30.1 9.0 3.4 42.4 70.9 21.1 8.0 100.0
other, varying shifts 25.2 11.2 8.2 44.7 56.4 25.2 18.4 100.0
no 111.9 95.1 29.3 236.3 47.3 40.3 12.4 100.0
Female
yes, of which: 31.3 24.1 14.2 69.6 45.0 34.6 20.4 100.0
in 2 shifts 15.4 10.8 8.2 34.4 44.8 31.3 23.9 100.0
in 3 shifts 13.2 8.0 3.2 24.4 54.0 33.0 13.0 100.0
other, varying shifts 2.7 5.3 2.8 10.8 25.3 48.6 26.0 100.0
no 123.4 106.0 33.1 262.5 47.0 40.4 12.6 100.0
Unusual working timea
Total
yes, of which: 164.2 94.7 45.8 304.8 53.9 31.1 15.0 100.0
evening 140.1 76.2 40.8 257.1 54.5 29.7 15.9 100.0
night 91.0 42.4 24.5 157.9 57.6 26.9 15.5 100.0
Saturday 138.7 78.5 42.5 259.7 53.4 30.2 16.3 100.0
Sunday 103.6 50.6 30.3 184.5 56.1 27.4 16.4 100.0
no 173.5 165.8 47.2 386.5 44.9 42.9 12.2 100.0
Male
yes, of which: 109.4 56.5 26.9 192.8 56.7 29.3 13.9 100.0
evening 94.9 45.9 23.6 164.3 57.7 27.9 14.3 100.0
night 65.5 26.5 15.9 107.9 60.7 24.6 14.7 100.0
Saturday 94.0 49.6 23.9 167.5 56.1 29.6 14.3 100.0
Sunday 70.9 32.0 17.0 119.8 59.2 26.7 14.1 100.0
no 73.6 74.0 18.9 166.4 44.2 44.4 11.3 100.0
Female
yes, of which: 54.8 38.2 19.0 112.0 48.9 34.1 16.9 100.0
evening 45.2 30.4 17.2 92.8 48.7 32.7 18.6 100.0
night 25.5 15.9 8.6 50.0 51.0 31.7 17.2 100.0
Saturday 44.7 29.0 18.6 92.3 48.5 31.4 20.1 100.0
Sunday 32.7 18.7 13.4 64.7 50.5 28.8 20.6 100.0
no 99.9 91.8 28.4 220.1 45.4 41.7 12.9 100.0
Working at home
Total
tipically works in his/her own home 4.2 3.9 0.7 8.8 47.4 44.2 8.4 100.0
occasionally works in his/her own home 14.5 9.1 3.7 27.3 53.0 33.4 13.6 100.0
newer works in his/her own home 319.0 247.5 88.6 655.2 48.7 37.8 13.5 100.0
Male
tipically works in his/her own home 2.0 2.3 0.4 4.7 42.0 50.1 7.9 100.0
occasionally works in his/her own home 8.6 3.8 2.6 15.0 57.2 25.5 17.4 100.0
newer works in his/her own home 172.4 124.3 42.8 339.5 50.8 36.6 12.6 100.0
Female
tipically works in his/her own home 2.2 1.6 0.4 4.2 53.5 37.6 8.9 100.0
occasionally works in his/her own home 5.9 5.3 1.1 12.3 47.9 43.2 9.0 100.0
newer works in his/her own home 146.6 123.2 45.9 315.6 46.4 39.0 14.5 100.0
Ownership of employer
Total
pure state/municipial ownership 174.3 127.8 49.4 351.5 49.6 36.4 14.1 100.0
pure private ownership 147.6 118.8 40.7 307.1 48.1 38.7 13.3 100.0
mixed ownership 9.1 8.0 0.9 18.0 50.3 44.5 5.3 100.0
other, do not know 6.8 5.9 2.0 14.7 46.0 40.2 13.8 100.0
Male
pure state/municipial ownership 83.1 51.0 17.6 151.6 54.8 33.6 11.6 100.0
pure private ownership 91.3 72.7 26.8 190.9 47.8 38.1 14.1 100.0
mixed ownership 6.9 4.2 0.9 11.9 57.5 35.3 7.2 100.0
other, do not know 1.7 2.6 0.4 4.8 35.6 55.0 9.4 100.0
Female
pure state/municipial ownership 91.2 76.9 31.8 199.9 45.6 38.5 15.9 100.0
pure private ownership 56.2 46.1 13.8 116.2 48.4 39.7 11.9 100.0
mixed ownership 2.2 3.8 0.1 6.1 36.2 62.4 1.4 100.0
other, do not know 5.1 3.3 1.6 9.9 51.0 33.1 15.9 100.0
Employer size
Total
1–10 workers 5.3 14.1 1.4 20.8 25.2 67.9 6.9 100.0
11–49 workers 46.2 52.4 14.6 113.2 40.8 46.3 12.9 100.0
50–499 workers 95.1 82.2 23.5 200.8 47.4 40.9 11.7 100.0
at least 500 workers 148.1 80.4 39.1 267.6 55.3 30.1 14.6 100.0
do not know but more than 10 workers 43.0 31.4 14.5 88.9 48.4 35.3 16.3 100.0
Male
1–10 workers 1.3 8.0 0.7 10.0 12.7 80.7 6.7 100.0
11–49 workers 17.0 22.9 6.1 45.9 36.9 49.8 13.3 100.0
50–499 workers 45.7 37.9 11.0 94.6 48.3 40.0 11.6 100.0
at least 500 workers 92.7 45.0 21.5 159.3 58.2 28.3 13.5 100.0
do not know but more than 10 workers 26.3 16.7 6.4 49.4 53.3 33.7 13.0 100.0
Female
1–10 workers 4.0 6.1 0.8 10.9 36.8 56.2 7.0 100.0
11–49 workers 29.2 29.6 8.5 67.3 43.4 44.0 12.6 100.0
50–499 workers 49.4 44.3 12.5 106.2 46.5 41.7 11.8 100.0
at least 500 workers 55.4 35.4 17.5 108.3 51.1 32.7 16.2 100.0
do not know but more than 10 workers 16.7 14.7 8.1 39.4 42.3 37.2 20.4 100.0
Duration of employment contract
Total
temporary 2.6 8.2 3.7 14.5 18.2 56.4 25.4 100.0
permanent 335.1 252.4 89.4 676.8 49.5 37.3 13.2 100.0
Male
temporary 1.8 4.6 1.2 7.6 24.2 60.6 15.3 100.0
permanent 181.1 125.9 44.6 351.6 51.5 35.8 12.7 100.0
Female
temporary 0.8 3.6 2.5 6.9 11.6 51.8 36.6 100.0
permanent 153.9 126.5 44.8 325.2 47.3 38.9 13.8 100.0
*Source: Labour Force Survey, HCSO  aOccasionally or regularly 

© Hungarian Central Statistical Office, 2011