9.6.1.2. 15–34 year-old people working during the studies for obtaining their highest level of education by the relationship of the work to the curriculum*(2/2)

< >
Denomination The work / some of the works was / were Total
mandatory part of the curriculum not mandatory part of the curriculom partly mandatory, partly non-mandatory part of the curriculum not part of the curriculum
%
Age group
Total
15–19 61.5 1.9 6.8 29.8 100.0
20–24 71.1 2.6 8.4 18.0 100.0
25–29 75.0 2.3 8.7 13.9 100.0
30–34 73.3 3.1 8.4 15.2 100.0
Total 72.3 2.6 8.4 16.8 100.0
Male
15–19 65.6 1.5 5.4 27.5 100.0
20–24 72.6 1.9 9.3 16.2 100.0
25–29 76.4 2.2 8.5 12.8 100.0
30–34 74.5 2.6 8.9 14.0 100.0
Total 73.8 2.2 8.6 15.4 100.0
Female
15–19 56.7 2.4 8.3 32.6 100.0
20–24 69.4 3.3 7.3 20.0 100.0
25–29 73.5 2.4 8.9 15.1 100.0
30–34 72.1 3.5 7.9 16.5 100.0
Total 70.6 3.0 8.1 18.3 100.0
Educational attainment
Total
At most 8 grades of primary school 57.7 1.3 6.6 34.4 100.0
Vocational school, apprentice school 89.0 1.4 4.8 4.9 100.0
Secondary general school 45.0 4.3 10.5 40.2 100.0
Secondary vocational school 79.4 1.8 7.4 11.4 100.0
College, university, PhD, DLA 70.5 3.8 11.7 14.0 100.0
Total 72.3 2.6 8.4 16.8 100.0
Male
At most 8 grades of primary school 61.1 0.8 5.4 32.7 100.0
Vocational school, apprentice school 89.6 0.9 4.3 5.3 100.0
Secondary general school 45.1 3.3 13.4 38.1 100.0
Secondary vocational school 79.0 1.8 8.0 11.1 100.0
College, university, PhD, DLA 69.3 4.4 13.5 12.8 100.0
Total 73.8 2.2 8.6 15.4 100.0
Female
At most 8 grades of primary school 53.4 2.0 8.1 36.4 100.0
Vocational school, apprentice school 87.9 2.4 5.7 4.1 100.0
Secondary general school 45.0 5.2 7.6 42.3 100.0
Secondary vocational school 79.9 1.8 6.6 11.7 100.0
College, university, PhD, DLA 71.4 3.4 10.4 14.8 100.0
Total 70.6 3.0 8.1 18.3 100.0
Economic activity
Total
Employed 73.5 2.7 8.6 15.3 100.0
Unemployed 81.8 0.7 3.9 13.6 100.0
Inactive 68.0 2.7 8.4 20.9 100.0
Total 72.3 2.6 8.4 16.8 100.0
Male
Employed 75.1 2.2 9.0 13.6 100.0
Unemployed 85.1 – 2.4 12.5 100.0
Inactive 66.2 2.6 8.4 22.9 100.0
Total 73.8 2.2 8.6 15.4 100.0
Female
Employed 71.1 3.2 8.0 17.7 100.0
Unemployed 77.4 1.7 5.9 15.0 100.0
Inactive 69.1 2.8 8.5 19.6 100.0
Total 70.6 3.0 8.1 18.3 100.0
County and region of residence
Total
Central Hungary 57.5 3.9 13.9 24.7 100.0
Budapest 57.6 3.3 9.9 29.2 100.0
Pest 57.5 4.8 20.6 17.2 100.0
Central Transdanubia 74.0 1.1 9.6 15.3 100.0
Fejér 66.8 2.0 15.3 15.9 100.0
Komárom-Esztergom 71.3 0.3 11.2 17.2 100.0
Veszprém 86.6 0.6 0.1 12.7 100.0
Western Transdanubia 78.2 1.2 4.6 16.0 100.0
Győr-Moson-Sopron 73.8 1.5 7.0 17.7 100.0
Vas 83.6 1.2 0.9 14.3 100.0
Zala 80.6 0.5 4.2 14.7 100.0
Southern Transdanubia 77.4 3.2 4.4 15.0 100.0
Baranya 68.2 6.0 4.3 21.5 100.0
Somogy 83.0 – 6.6 10.4 100.0
Tolna 84.6 2.7 2.1 10.6 100.0
Northern Hungary 83.8 0.9 6.0 9.3 100.0
Borsod-Abaúj-Zemplén 84.9 0.8 5.9 8.4 100.0
Heves 86.0 1.2 1.3 11.4 100.0
Nógrád 76.6 0.6 13.9 8.8 100.0
Northern Great Plain 84.4 1.9 3.9 9.8 100.0
Hajdú-Bihar 82.3 1.1 6.0 10.5 100.0
Jász-Nagykun-Szolnok 86.6 0.7 3.0 9.7 100.0
Szabolcs-Szatmár-Bereg 84.9 3.5 2.4 9.1 100.0
Southern Great Plain 76.0 3.8 6.0 14.2 100.0
Bács-Kiskun 70.4 2.2 9.1 18.3 100.0
Békés 70.8 7.8 4.4 17.0 100.0
Csongrád-Csanád 86.9 2.7 3.4 7.0 100.0
Total 72.3 2.6 8.4 16.8 100.0
Male
Central Hungary 57.6 3.9 14.8 23.7 100.0
Budapest 57.4 2.9 11.4 28.3 100.0
Pest 58.0 5.3 20.1 16.7 100.0
Central Transdanubia 74.9 0.8 9.7 14.6 100.0
Fejér 65.3 1.8 15.2 17.7 100.0
Komárom-Esztergom 71.7 0.6 12.9 14.9 100.0
Veszprém 89.6 – – 10.4 100.0
Western Transdanubia 82.5 0.7 5.5 11.4 100.0
Győr-Moson-Sopron 78.2 1.0 8.6 12.2 100.0
Vas 88.6 0.7 1.7 8.9 100.0
Zala 84.7 – 3.2 12.1 100.0
Southern Transdanubia 80.4 2.2 5.0 12.4 100.0
Baranya 72.8 4.3 4.7 18.2 100.0
Somogy 82.0 – 8.2 9.7 100.0
Tolna 88.4 2.0 1.6 8.0 100.0
Northern Hungary 85.1 0.9 5.2 8.7 100.0
Borsod-Abaúj-Zemplén 86.6 0.9 5.2 7.3 100.0
Heves 84.7 0.7 1.4 13.2 100.0
Nógrád 80.8 1.1 11.6 6.4 100.0
Northern Great Plain 84.3 1.9 3.7 10.1 100.0
Hajdú-Bihar 85.0 0.6 5.2 9.2 100.0
Jász-Nagykun-Szolnok 83.6 0.4 3.3 12.7 100.0
Szabolcs-Szatmár-Bereg 84.0 4.2 2.7 9.1 100.0
Southern Great Plain 78.3 2.3 5.9 13.5 100.0
Bács-Kiskun 73.8 1.4 8.8 16.0 100.0
Békés 73.2 4.5 3.4 18.8 100.0
Csongrád-Csanád 87.9 1.6 4.3 6.2 100.0
Total 73.8 2.2 8.6 15.4 100.0
Female
Central Hungary 57.4 3.9 13.0 25.7 100.0
Budapest 57.8 3.7 8.4 30.1 100.0
Pest 56.9 4.2 21.2 17.8 100.0
Central Transdanubia 73.0 1.4 9.4 16.2 100.0
Fejér 68.4 2.3 15.5 13.8 100.0
Komárom-Esztergom 70.7 – 9.2 20.1 100.0
Veszprém 82.4 1.5 0.3 15.8 100.0
Western Transdanubia 72.9 1.8 3.6 21.7 100.0
Győr-Moson-Sopron 68.0 2.2 4.9 24.8 100.0
Vas 78.5 1.6 – 19.9 100.0
Zala 75.1 1.1 5.6 18.2 100.0
Southern Transdanubia 74.4 4.1 3.9 17.6 100.0
Baranya 64.0 7.5 4.0 24.6 100.0
Somogy 84.0 – 4.8 11.2 100.0
Tolna 80.2 3.5 2.8 13.6 100.0
Northern Hungary 82.3 0.9 6.9 9.9 100.0
Borsod-Abaúj-Zemplén 82.9 0.7 6.7 9.7 100.0
Heves 87.5 1.9 1.3 9.3 100.0
Nógrád 71.6 – 16.7 11.7 100.0
Northern Great Plain 84.6 1.9 4.1 9.4 100.0
Hajdú-Bihar 79.5 1.7 6.9 12.0 100.0
Jász-Nagykun-Szolnok 90.2 1.0 2.6 6.2 100.0
Szabolcs-Szatmár-Bereg 86.1 2.7 2.1 9.0 100.0
Southern Great Plain 73.4 5.5 6.1 15.0 100.0
Bács-Kiskun 66.7 3.0 9.4 20.9 100.0
Békés 67.9 11.7 5.5 14.8 100.0
Csongrád-Csanád 85.7 3.9 2.4 7.9 100.0
Total 70.6 3.0 8.1 18.3 100.0
The administrative classification of residence
Total
Town 74.3 2.8 7.7 15.2 100.0
Village 78.4 1.9 8.4 11.4 100.0
Budapest 57.6 3.3 9.9 29.2 100.0
Total 72.3 2.6 8.4 16.8 100.0
Male
Town 75.6 2.4 7.9 14.0 100.0
Village 80.2 1.5 8.0 10.3 100.0
Budapest 57.4 2.9 11.4 28.3 100.0
Total 73.8 2.2 8.6 15.4 100.0
Female
Town 72.7 3.1 7.5 16.7 100.0
Village 76.1 2.4 8.8 12.6 100.0
Budapest 57.8 3.7 8.4 30.1 100.0
Total 70.6 3.0 8.1 18.3 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 2, 2016 

© Hungarian Central Statistical Office, 2011