9.6.1.1. People aged 15–34 by their work during studies for obtaining their highest level of education*(2/2)

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Denomination The respondent 15–34 year-old total
did only paid work did only non-paid work did paid and non-paid work did no work
%
Age group
Total
15–19 4.5 15.0 4.6 74.6 100.0
20–24 14.1 29.7 16.3 37.8 100.0
25–29 16.0 37.1 19.2 26.1 100.0
30–34 18.5 37.2 18.7 23.5 100.0
Total 13.7 30.5 15.2 38.7 100.0
Male
15–19 5.5 15.8 4.1 72.6 100.0
20–24 13.8 30.5 18.3 35.3 100.0
25–29 17.0 39.7 17.6 23.6 100.0
30–34 19.0 37.9 19.7 21.7 100.0
Total 14.2 31.7 15.4 36.6 100.0
Female
15–19 3.4 14.1 5.1 76.6 100.0
20–24 14.5 28.9 14.2 40.6 100.0
25–29 14.9 34.3 20.9 28.7 100.0
30–34 18.0 36.5 17.7 25.5 100.0
Total 13.2 29.2 15.0 41.0 100.0
Educational attainment
Total
At most 8 grades of primary school 4.5 9.6 3.8 79.8 100.0
Vocational school, apprentice school 20.5 55.9 19.8 2.6 100.0
Secondary general school 14.9 12.6 12.8 58.7 100.0
Secondary vocational school 17.8 52.7 19.9 6.6 100.0
College, university, PhD, DLA 18.7 46.1 29.3 4.2 100.0
Total 13.7 30.5 15.2 38.7 100.0
Male
At most 8 grades of primary school 5.3 9.8 4.1 78.1 100.0
Vocational school, apprentice school 21.2 55.0 20.1 2.2 100.0
Secondary general school 14.8 13.8 14.6 56.3 100.0
Secondary vocational school 16.8 54.0 20.5 5.1 100.0
College, university, PhD, DLA 20.5 45.0 28.8 4.3 100.0
Total 14.2 31.7 15.4 36.6 100.0
Female
At most 8 grades of primary school 3.7 9.4 3.5 81.7 100.0
Vocational school, apprentice school 19.3 57.6 19.1 3.4 100.0
Secondary general school 14.9 11.5 11.4 60.7 100.0
Secondary vocational school 19.2 51.1 19.1 8.5 100.0
College, university, PhD, DLA 17.5 46.9 29.7 4.2 100.0
Total 13.2 29.2 15.0 41.0 100.0
Economic activity
Total
Employed 18.8 37.0 19.8 22.7 100.0
Unemployed 10.0 32.2 10.0 46.4 100.0
Inactive 7.7 22.0 9.9 58.5 100.0
Total 13.7 30.5 15.2 38.7 100.0
Male
Employed 18.6 38.2 19.5 21.7 100.0
Unemployed 8.9 33.6 7.9 48.8 100.0
Inactive 7.1 19.7 9.2 61.6 100.0
Total 14.2 31.7 15.4 36.6 100.0
Female
Employed 18.9 35.3 20.2 24.1 100.0
Unemployed 11.3 30.1 12.8 43.0 100.0
Inactive 8.1 23.6 10.4 56.3 100.0
Total 13.2 29.2 15.0 41.0 100.0
County and region of residence
Total
Central Hungary 18.6 23.8 20.5 35.1 100.0
Budapest 21.6 26.7 17.9 31.5 100.0
Pest 14.3 19.7 24.3 40.2 100.0
Central Transdanubia 16.6 26.3 19.7 35.3 100.0
Fejér 13.4 27.7 21.6 32.9 100.0
Komárom-Esztergom 13.3 30.9 21.6 34.2 100.0
Veszprém 23.6 20.3 15.5 39.3 100.0
Western Transdanubia 12.7 35.4 14.1 34.6 100.0
Győr-Moson-Sopron 10.1 33.2 17.6 33.4 100.0
Vas 13.1 41.8 11.1 33.8 100.0
Zala 17.0 33.2 10.6 37.7 100.0
Southern Transdanubia 13.5 33.5 12.1 38.8 100.0
Baranya 16.0 26.3 15.6 39.8 100.0
Somogy 5.7 41.7 8.4 41.1 100.0
Tolna 19.6 34.6 11.4 34.1 100.0
Northern Hungary 7.9 34.1 12.1 43.0 100.0
Borsod-Abaúj-Zemplén 4.0 37.6 10.5 44.2 100.0
Heves 12.2 31.4 15.7 38.4 100.0
Nógrád 16.3 25.4 12.6 45.7 100.0
Northern Great Plain 8.7 36.9 7.7 46.2 100.0
Hajdú-Bihar 9.0 37.7 8.0 44.8 100.0
Jász-Nagykun-Szolnok 12.6 34.6 10.8 41.2 100.0
Szabolcs-Szatmár-Bereg 6.2 37.5 5.6 50.5 100.0
Southern Great Plain 12.3 32.6 14.3 40.2 100.0
Bács-Kiskun 14.1 27.8 17.2 40.3 100.0
Békés 14.5 34.6 8.5 41.7 100.0
Csongrád-Csanád 8.3 37.0 15.4 38.8 100.0
Total 13.7 30.5 15.2 38.7 100.0
Male
Central Hungary 18.7 25.0 20.4 33.3 100.0
Budapest 20.5 28.3 17.2 30.6 100.0
Pest 16.1 20.4 24.9 37.0 100.0
Central Transdanubia 19.0 27.0 20.3 31.6 100.0
Fejér 15.5 28.2 19.3 32.9 100.0
Komárom-Esztergom 13.4 31.3 26.5 28.8 100.0
Veszprém 28.6 21.7 15.8 32.3 100.0
Western Transdanubia 12.1 38.4 16.4 29.7 100.0
Győr-Moson-Sopron 9.9 37.2 20.6 26.0 100.0
Vas 10.2 42.9 12.2 34.6 100.0
Zala 17.7 36.4 12.6 31.5 100.0
Southern Transdanubia 13.1 32.2 12.8 39.5 100.0
Baranya 13.3 25.9 14.8 43.5 100.0
Somogy 3.8 42.4 10.4 39.7 100.0
Tolna 24.9 28.9 12.9 32.8 100.0
Northern Hungary 8.3 35.7 12.6 40.8 100.0
Borsod-Abaúj-Zemplén 3.6 39.2 11.5 42.2 100.0
Heves 14.2 31.3 16.6 36.0 100.0
Nógrád 17.1 29.3 10.7 42.8 100.0
Northern Great Plain 9.7 38.3 7.6 43.9 100.0
Hajdú-Bihar 9.4 39.0 6.4 45.0 100.0
Jász-Nagykun-Szolnok 14.8 34.3 11.4 37.8 100.0
Szabolcs-Szatmár-Bereg 6.7 40.2 6.4 46.6 100.0
Southern Great Plain 13.7 33.7 13.5 38.4 100.0
Bács-Kiskun 15.3 28.4 16.0 39.6 100.0
Békés 18.7 35.8 6.5 38.2 100.0
Csongrád-Csanád 7.6 38.8 16.0 36.9 100.0
Total 14.2 31.7 15.4 36.6 100.0
Female
Central Hungary 18.6 22.7 20.5 36.8 100.0
Budapest 22.7 25.2 18.5 32.4 100.0
Pest 12.4 18.9 23.6 43.5 100.0
Central Transdanubia 14.0 25.5 19.1 39.3 100.0
Fejér 11.1 27.0 24.1 32.9 100.0
Komárom-Esztergom 13.2 30.5 16.4 39.8 100.0
Veszprém 18.2 18.9 15.2 46.9 100.0
Western Transdanubia 13.3 32.2 11.8 39.8 100.0
Győr-Moson-Sopron 10.3 29.0 14.5 41.1 100.0
Vas 16.1 40.7 9.9 32.8 100.0
Zala 16.2 29.7 8.3 44.5 100.0
Southern Transdanubia 13.9 35.0 11.4 38.1 100.0
Baranya 18.8 26.8 16.5 36.0 100.0
Somogy 7.8 40.9 6.3 42.6 100.0
Tolna 13.8 40.8 9.7 35.6 100.0
Northern Hungary 7.5 32.5 11.5 45.4 100.0
Borsod-Abaúj-Zemplén 4.4 35.9 9.3 46.3 100.0
Heves 10.1 31.6 14.7 41.0 100.0
Nógrád 15.4 21.2 14.6 48.8 100.0
Northern Great Plain 7.8 35.4 7.8 48.7 100.0
Hajdú-Bihar 8.6 36.3 9.6 44.6 100.0
Jász-Nagykun-Szolnok 10.3 34.9 10.1 44.8 100.0
Szabolcs-Szatmár-Bereg 5.5 34.7 4.6 54.7 100.0
Southern Great Plain 10.9 31.5 15.2 42.1 100.0
Bács-Kiskun 12.9 27.3 18.5 41.0 100.0
Békés 10.0 33.3 10.5 45.3 100.0
Csongrád-Csanád 9.0 35.2 14.9 40.8 100.0
Total 13.2 29.2 15.0 41.0 100.0
The administrative classification of residence
Total
Town 13.0 30.8 16.4 37.8 100.0
Village 10.6 32.0 12.3 43.7 100.0
Budapest 21.6 26.7 17.9 31.5 100.0
Total 13.7 30.5 15.2 38.7 100.0
Male
Town 13.2 32.6 16.8 35.3 100.0
Village 12.5 32.3 12.8 41.1 100.0
Budapest 20.5 28.3 17.2 30.6 100.0
Total 14.2 31.7 15.4 36.6 100.0
Female
Town 12.8 28.9 16.0 40.4 100.0
Village 8.6 31.8 11.7 46.4 100.0
Budapest 22.7 25.2 18.5 32.4 100.0
Total 13.2 29.2 15.0 41.0 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 2, 2016 

© Hungarian Central Statistical Office, 2011