9.18.3.5. Employees aged 15–64 by whether the collective agreement affects their wages/salaries, Q1 2020*

< >
Denomination The respondent's wage/sallary is Total The respondent's wage/sallary is 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 11.0 10.1 4.6 25.8 42.8 39.3 17.8 100.0
25–29 33.7 21.4 8.9 64.0 52.6 33.5 13.9 100.0
30–34 33.5 18.2 15.5 67.1 49.9 27.1 23.0 100.0
35–39 40.1 26.1 12.3 78.5 51.0 33.3 15.7 100.0
40–44 54.8 35.8 17.2 107.8 50.9 33.2 15.9 100.0
45–49 53.0 46.3 14.9 114.2 46.4 40.5 13.0 100.0
50–54 48.7 38.6 15.6 102.9 47.3 37.5 15.2 100.0
55–59 42.7 26.8 11.0 80.5 53.0 33.3 13.7 100.0
60–64 24.6 16.4 7.5 48.6 50.7 33.8 15.5 100.0
Total 342.7 241.0 107.6 691.3 49.6 34.9 15.6 100.0
Male
15–19 – 0.7 – 0.7 – 100.0 – 100.0
20–24 7.1 5.1 2.2 14.4 49.5 35.2 15.2 100.0
25–29 17.5 11.6 4.7 33.8 51.6 34.4 14.0 100.0
30–34 21.1 11.9 9.1 42.1 50.1 28.2 21.6 100.0
35–39 23.9 12.2 7.0 43.1 55.6 28.2 16.2 100.0
40–44 28.5 16.4 9.0 53.9 52.8 30.5 16.7 100.0
45–49 25.1 20.1 4.1 49.4 50.9 40.8 8.3 100.0
50–54 25.0 18.0 6.8 49.8 50.2 36.1 13.7 100.0
55–59 21.7 15.3 4.0 41.0 53.0 37.2 9.8 100.0
60–64 15.6 10.0 5.4 31.0 50.3 32.1 17.6 100.0
Total 185.6 121.2 52.4 359.2 51.7 33.8 14.6 100.0
Female
15–19 0.6 0.5 0.0 1.2 51.7 45.2 3.1 100.0
20–24 3.9 5.1 2.4 11.4 34.4 44.5 21.1 100.0
25–29 16.2 9.8 4.2 30.2 53.7 32.4 13.9 100.0
30–34 12.4 6.3 6.3 25.0 49.6 25.1 25.4 100.0
35–39 16.1 14.0 5.4 35.5 45.4 39.4 15.2 100.0
40–44 26.4 19.4 8.2 53.9 48.9 35.9 15.2 100.0
45–49 27.9 26.1 10.8 64.8 43.0 40.3 16.6 100.0
50–54 23.7 20.6 8.8 53.0 44.6 38.8 16.6 100.0
55–59 20.9 11.6 7.0 39.5 52.9 29.3 17.7 100.0
60–64 9.1 6.5 2.1 17.6 51.5 36.7 11.9 100.0
Total 157.1 119.8 55.2 332.1 47.3 36.1 16.6 100.0
Educational attainment
Total
At most 8 grades of primary school 16.9 14.3 9.8 41.0 41.3 34.9 23.8 100.0
Vocational school, apprentice school 78.6 48.2 26.9 153.7 51.1 31.4 17.5 100.0
Secondary general school 40.9 33.7 11.7 86.3 47.4 39.1 13.5 100.0
Secondary vocational school 81.5 50.6 26.2 158.3 51.5 32.0 16.6 100.0
College, university, PhD, DLA 124.7 94.1 33.0 251.9 49.5 37.4 13.1 100.0
Male
At most 8 grades of primary school 9.5 5.8 4.4 19.7 48.2 29.4 22.4 100.0
Vocational school, apprentice school 53.2 34.1 17.1 104.5 51.0 32.6 16.4 100.0
Secondary general school 16.6 13.7 6.1 36.4 45.5 37.6 16.8 100.0
Secondary vocational school 47.1 29.1 13.2 89.4 52.7 32.6 14.7 100.0
College, university, PhD, DLA 59.2 38.5 11.6 109.3 54.2 35.2 10.6 100.0
Female
At most 8 grades of primary school 7.4 8.5 5.3 21.3 34.9 40.0 25.1 100.0
Vocational school, apprentice school 25.4 14.1 9.8 49.3 51.4 28.7 19.9 100.0
Secondary general school 24.3 20.0 5.5 49.9 48.8 40.1 11.1 100.0
Secondary vocational school 34.5 21.5 13.1 69.0 50.0 31.1 19.0 100.0
College, university, PhD, DLA 65.5 55.6 21.5 142.6 45.9 39.0 15.1 100.0
Region of residence
Total
Budapest 63.0 62.6 23.3 148.9 42.3 42.0 15.7 100.0
Pest 32.1 27.4 10.7 70.1 45.7 39.0 15.3 100.0
Central Transdanubia 60.4 12.2 17.9 90.4 66.7 13.5 19.8 100.0
Western Transdanubia 47.8 23.1 9.0 79.8 59.9 28.9 11.2 100.0
Southern Transdanubia 25.7 19.0 5.5 50.2 51.2 37.9 10.9 100.0
Northern Hngary 53.2 28.2 16.6 98.0 54.2 28.8 17.0 100.0
Northern Great Plain 26.5 40.4 16.7 83.7 31.7 48.3 20.0 100.0
Southern Great Plain 34.2 28.1 7.9 70.2 48.7 40.1 11.3 100.0
Male
Budapest 30.6 30.6 9.7 71.0 43.2 43.2 13.6 100.0
Pest 13.6 12.4 4.2 30.2 45.2 41.0 13.8 100.0
Central Transdanubia 34.4 5.4 9.5 49.2 69.8 10.9 19.3 100.0
Western Transdanubia 28.5 11.7 4.3 44.6 64.0 26.2 9.7 100.0
Southern Transdanubia 14.3 9.0 1.6 24.9 57.4 36.3 6.3 100.0
Northern Hngary 31.5 14.8 8.4 54.7 57.5 27.1 15.4 100.0
Northern Great Plain 14.0 21.7 10.1 45.8 30.5 47.5 22.0 100.0
Southern Great Plain 18.7 15.5 4.7 38.9 48.0 39.9 12.0 100.0
Female
Budapest 32.4 32.0 13.7 78.0 41.5 41.0 17.5 100.0
Pest 18.4 15.0 6.5 39.9 46.2 37.5 16.4 100.0
Central Transdanubia 26.0 6.8 8.4 41.2 63.1 16.5 20.4 100.0
Western Transdanubia 19.3 11.4 4.6 35.3 54.6 32.3 13.1 100.0
Southern Transdanubia 11.4 10.0 3.9 25.3 45.1 39.4 15.4 100.0
Northern Hngary 21.7 13.4 8.2 43.3 50.1 30.9 19.0 100.0
Northern Great Plain 12.5 18.7 6.6 37.8 33.0 49.4 17.6 100.0
Southern Great Plain 15.5 12.6 3.2 31.3 49.4 40.2 10.3 100.0
The administrative classification of residence
Total
town 173.5 125.5 60.5 359.6 48.3 34.9 16.8 100.0
village 106.2 52.9 23.8 182.8 58.1 28.9 13.0 100.0
Budapest 63.0 62.6 23.3 148.9 42.3 42.0 15.7 100.0
Male
town 94.6 61.7 29.9 186.2 50.8 33.1 16.1 100.0
village 60.4 28.9 12.8 102.1 59.1 28.3 12.5 100.0
Budapest 30.6 30.6 9.7 71.0 43.2 43.2 13.6 100.0
Female
town 79.0 63.9 30.6 173.4 45.5 36.8 17.6 100.0
village 45.8 23.9 11.0 80.7 56.7 29.7 13.6 100.0
Budapest 32.4 32.0 13.7 78.0 41.5 41.0 17.5 100.0
Number of children
Total
no children under 15 239.4 166.7 77.7 483.8 49.5 34.5 16.1 100.0
1 child under 15 60.7 43.8 19.6 124.0 48.9 35.3 15.8 100.0
2 children under 15 34.0 23.8 8.4 66.2 51.4 35.9 12.7 100.0
3 or more children under 15 8.6 6.8 2.0 17.3 49.4 39.0 11.6 100.0
Male
no children under 15 128.3 82.1 35.8 246.2 52.1 33.3 14.5 100.0
1 child under 15 32.3 21.0 11.1 64.4 50.2 32.6 17.2 100.0
2 children under 15 19.0 12.6 3.7 35.2 53.9 35.7 10.5 100.0
3 or more children under 15 6.0 5.6 1.8 13.4 44.4 42.0 13.6 100.0
Female
no children under 15 111.1 84.6 41.9 237.6 46.8 35.6 17.6 100.0
1 child under 15 28.3 22.8 8.5 59.6 47.5 38.3 14.2 100.0
2 children under 15 15.1 11.2 4.7 31.0 48.6 36.2 15.2 100.0
3 or more children under 15 2.6 1.1 0.2 3.9 66.7 28.6 4.8 100.0
Part-time or full-time
Total
part-time 8.3 6.8 3.8 18.9 43.8 35.9 20.3 100.0
full-time 334.4 234.2 103.8 672.4 49.7 34.8 15.4 100.0
Male
part-time 2.2 1.3 0.9 4.4 49.5 29.0 21.4 100.0
full-time 183.4 120.0 51.5 354.8 51.7 33.8 14.5 100.0
Female
part-time 6.1 5.5 2.9 14.6 42.1 38.0 20.0 100.0
full-time 151.0 114.3 52.3 317.6 47.6 36.0 16.5 100.0
Main activity of employer – NACE Rev.
Total
agriculture 1.7 2.1 0.9 4.7 36.4 44.4 19.2 100.0
industry 135.7 69.9 43.3 248.9 54.5 28.1 17.4 100.0
service 205.3 169.1 63.4 437.8 46.9 38.6 14.5 100.0
Male
agriculture 1.1 1.2 0.8 3.1 35.8 37.7 26.5 100.0
industry 93.9 47.1 28.9 169.9 55.2 27.7 17.0 100.0
service 90.5 72.9 22.7 186.1 48.6 39.2 12.2 100.0
Female
agriculture 0.6 0.9 0.1 1.5 37.6 58.2 4.2 100.0
industry 41.8 22.7 14.4 78.9 53.0 28.8 18.2 100.0
service 114.8 96.1 40.8 251.7 45.6 38.2 16.2 100.0
Occupation – FEOR
Total
intellectual 193.8 141.2 54.0 388.9 49.8 36.3 13.9 100.0
manual 148.9 99.8 53.6 302.4 49.3 33.0 17.7 100.0
Male
intellectual 81.7 53.2 16.8 151.8 53.9 35.1 11.1 100.0
manual 103.8 68.0 35.6 207.4 50.1 32.8 17.2 100.0
Female
intellectual 112.0 88.0 37.2 237.2 47.2 37.1 15.7 100.0
manual 45.1 31.8 18.0 94.9 47.5 33.5 19.0 100.0
Unusual work schedule
Total
yes, of which: 102.0 55.7 34.7 192.5 53.0 29.0 18.0 100.0
in 2 shifts 32.8 24.1 13.3 70.2 46.8 34.3 19.0 100.0
in 3 shifts 42.4 15.4 9.0 66.8 63.4 23.1 13.5 100.0
other, varying shifts 26.8 16.3 12.4 55.5 48.3 29.3 22.3 100.0
no 240.7 185.3 72.9 498.8 48.2 37.1 14.6 100.0
Male
yes, of which: 68.9 33.7 20.3 122.9 56.1 27.4 16.5 100.0
in 2 shifts 16.1 14.1 5.6 35.8 45.1 39.4 15.5 100.0
in 3 shifts 29.3 8.1 5.0 42.4 69.1 19.0 11.9 100.0
other, varying shifts 23.4 11.5 9.7 44.7 52.4 25.8 21.8 100.0
no 116.7 87.5 32.1 236.3 49.4 37.0 13.6 100.0
Female
yes, of which: 33.2 22.1 14.4 69.6 47.6 31.7 20.7 100.0
in 2 shifts 16.7 10.0 7.8 34.4 48.5 28.9 22.6 100.0
in 3 shifts 13.1 7.4 4.0 24.4 53.5 30.1 16.4 100.0
other, varying shifts 3.4 4.8 2.6 10.8 31.5 44.0 24.5 100.0
no 124.0 97.7 40.8 262.5 47.2 37.2 15.5 100.0
Unusual working timea
Total
yes, of which: 165.1 89.0 50.7 304.8 54.2 29.2 16.6 100.0
evening 142.2 72.0 43.0 257.1 55.3 28.0 16.7 100.0
night 94.9 36.5 26.5 157.9 60.1 23.1 16.8 100.0
Saturday 140.5 73.2 46.1 259.7 54.1 28.2 17.7 100.0
Sunday 103.3 47.9 33.3 184.5 56.0 25.9 18.0 100.0
no 177.6 152.0 56.9 386.5 45.9 39.3 14.7 100.0
Male
yes, of which: 108.3 52.4 32.1 192.8 56.2 27.2 16.7 100.0
evening 95.8 42.1 26.4 164.3 58.3 25.6 16.1 100.0
night 67.6 22.8 17.4 107.9 62.7 21.1 16.2 100.0
Saturday 93.2 45.9 28.4 167.5 55.6 27.4 16.9 100.0
Sunday 69.5 30.3 20.1 119.8 58.0 25.3 16.8 100.0
no 77.3 68.8 20.3 166.4 46.4 41.4 12.2 100.0
Female
yes, of which: 56.9 36.6 18.6 112.0 50.8 32.7 16.6 100.0
evening 46.4 29.9 16.5 92.8 50.0 32.2 17.8 100.0
night 27.3 13.7 9.1 50.0 54.5 27.3 18.2 100.0
Saturday 47.4 27.2 17.7 92.3 51.3 29.5 19.2 100.0
Sunday 33.9 17.6 13.2 64.7 52.4 27.2 20.4 100.0
no 100.3 83.2 36.7 220.1 45.6 37.8 16.7 100.0
Working at home
Total
tipically works in his/her own home 3.8 5.0 – 8.8 42.9 57.1 – 100.0
occasionally works in his/her own home 15.5 6.7 5.1 27.3 56.6 24.7 18.7 100.0
newer works in his/her own home 323.4 229.2 102.5 655.2 49.4 35.0 15.6 100.0
Male
tipically works in his/her own home 1.7 3.0 – 4.7 36.2 63.8 – 100.0
occasionally works in his/her own home 9.1 2.8 3.0 15.0 60.9 18.8 20.3 100.0
newer works in his/her own home 174.7 115.4 49.4 339.5 51.5 34.0 14.5 100.0
Female
tipically works in his/her own home 2.1 2.1 – 4.2 50.5 49.5 – 100.0
occasionally works in his/her own home 6.3 3.9 2.1 12.3 51.4 31.8 16.8 100.0
newer works in his/her own home 148.7 113.8 53.1 315.6 47.1 36.1 16.8 100.0
Ownership of employer
Total
pure state/municipial ownership 180.6 117.1 53.9 351.5 51.4 33.3 15.3 100.0
pure private ownership 147.2 110.3 49.5 307.1 48.0 35.9 16.1 100.0
mixed ownership 8.6 6.6 2.8 18.0 47.8 36.5 15.7 100.0
other, do not know 6.2 7.1 1.4 14.7 42.3 48.1 9.6 100.0
Male
pure state/municipial ownership 84.4 47.7 19.6 151.6 55.6 31.4 12.9 100.0
pure private ownership 92.6 67.3 31.0 190.9 48.5 35.3 16.2 100.0
mixed ownership 7.1 3.6 1.2 11.9 59.2 30.4 10.4 100.0
other, do not know 1.5 2.6 0.6 4.8 32.0 55.0 13.0 100.0
Female
pure state/municipial ownership 96.2 69.4 34.3 199.9 48.1 34.7 17.2 100.0
pure private ownership 54.7 43.0 18.5 116.2 47.0 37.0 16.0 100.0
mixed ownership 1.5 3.0 1.6 6.1 25.4 48.5 26.1 100.0
other, do not know 4.7 4.4 0.8 9.9 47.2 44.8 8.0 100.0
Employer size
Total
1–10 workers 5.9 12.9 2.0 20.8 28.1 62.1 9.7 100.0
11–49 workers 47.1 48.6 17.5 113.2 41.6 43.0 15.4 100.0
50–499 workers 96.3 77.0 27.6 200.8 48.0 38.3 13.7 100.0
at least 500 workers 150.5 72.7 44.4 267.6 56.2 27.2 16.6 100.0
do not know but more than 10 workers 42.9 29.8 16.2 88.9 48.3 33.5 18.2 100.0
Male
1–10 workers 1.0 7.7 1.2 10.0 10.4 77.7 11.9 100.0
11–49 workers 17.7 20.2 8.0 45.9 38.5 44.0 17.5 100.0
50–499 workers 46.8 35.5 12.3 94.6 49.5 37.5 13.0 100.0
at least 500 workers 94.4 41.1 23.7 159.3 59.3 25.8 14.9 100.0
do not know but more than 10 workers 25.6 16.7 7.1 49.4 51.8 33.8 14.4 100.0
Female
1–10 workers 4.8 5.2 0.8 10.9 44.4 47.8 7.7 100.0
11–49 workers 29.4 28.4 9.4 67.3 43.7 42.3 14.0 100.0
50–499 workers 49.5 41.5 15.3 106.2 46.6 39.0 14.4 100.0
at least 500 workers 56.1 31.6 20.7 108.3 51.8 29.2 19.1 100.0
do not know but more than 10 workers 17.3 13.1 9.0 39.4 43.9 33.2 22.9 100.0
Duration of employment contract
Total
temporary 3.3 7.0 4.2 14.5 22.8 48.6 28.6 100.0
permanent 339.4 234.0 103.5 676.8 50.1 34.6 15.3 100.0
Male
temporary 1.9 4.5 1.2 7.6 24.9 59.3 15.8 100.0
permanent 183.7 116.7 51.2 351.6 52.2 33.2 14.6 100.0
Female
temporary 1.4 2.5 3.0 6.9 20.5 36.7 42.8 100.0
permanent 155.7 117.2 52.3 325.2 47.9 36.1 16.1 100.0
*Source: Labour Force Survey, HCSO  aOccasionally or regularly 

© Hungarian Central Statistical Office, 2011