9.4.2.9. People aged 15–29 wishing to continue their studies in the next two years by the type of education*(2/2)

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Denomination The respondent wants to learn Total
in a vocational or apprentice school in a school ending with G.C.E. in a vocational education based on G.C.E. in higher vocational education in vocational training in informal education in other trainings until the end of his/her current studies
%
Age group
Total
15–19 4.6 10.0 5.9 22.6 1.2 0.1 55.5 100.0
20–24 2.9 1.2 3.2 17.2 7.8 1.7 65.9 100.0
25–29 3.2 1.2 3.0 22.9 24.7 11.1 33.9 100.0
Total 3.8 5.9 4.6 20.8 6.4 2.1 56.4 100.0
Male
15–19 4.9 9.8 6.9 20.8 1.3 0.1 56.2 100.0
20–24 3.2 1.2 3.3 16.0 8.2 2.1 66.0 100.0
25–29 3.9 1.3 3.7 22.4 26.1 10.5 32.0 100.0
Total 4.2 5.9 5.3 19.3 6.6 2.0 56.7 100.0
Female
15–19 4.3 10.3 4.9 24.5 1.0 0.2 54.8 100.0
20–24 2.6 1.3 3.1 18.3 7.5 1.4 65.8 100.0
25–29 2.6 1.0 2.4 23.4 23.4 11.6 35.6 100.0
Total 3.4 5.9 3.9 22.2 6.3 2.1 56.2 100.0
Educational attainment
Total
At most 8 grades of primary school 6.7 10.9 6.1 22.7 3.3 0.3 50.0 100.0
Vocational school, apprentice school 4.8 11.3 7.1 9.2 28.0 14.6 24.9 100.0
Secondary general school 0.7 0.0 2.9 17.6 3.8 1.0 74.0 100.0
Secondary vocational school 1.9 1.1 4.1 23.7 22.2 5.4 41.5 100.0
College, university, PhD, DLA – – 1.6 24.6 12.9 8.4 52.5 100.0
Total 3.8 5.9 4.6 20.8 6.4 2.1 56.4 100.0
Male
At most 8 grades of primary school 7.0 10.4 7.0 20.7 3.4 0.3 51.3 100.0
Vocational school, apprentice school 5.9 12.1 5.3 7.1 24.1 16.4 29.1 100.0
Secondary general school 0.8 – 2.8 17.1 3.7 0.9 74.7 100.0
Secondary vocational school 2.5 1.6 6.0 22.5 20.7 4.3 42.3 100.0
College, university, PhD, DLA – – 3.3 23.6 15.8 9.0 48.3 100.0
Total 4.2 5.9 5.3 19.3 6.6 2.0 56.7 100.0
Female
At most 8 grades of primary school 6.4 11.3 5.3 24.8 3.2 0.4 48.6 100.0
Vocational school, apprentice school 3.4 10.4 9.4 11.9 32.9 12.4 19.7 100.0
Secondary general school 0.5 0.1 2.9 18.0 3.9 1.1 73.4 100.0
Secondary vocational school 1.0 0.4 1.1 25.5 24.5 7.2 40.3 100.0
College, university, PhD, DLA – – 0.5 25.2 11.0 8.0 55.3 100.0
Total 3.4 5.9 3.9 22.2 6.3 2.1 56.2 100.0
Economic activity
Total
employed 5.1 2.6 6.1 25.6 28.8 9.5 22.4 100.0
unemployed 12.1 2.1 12.1 16.1 36.4 9.4 11.9 100.0
inactive 3.3 6.6 4.1 20.0 1.4 0.5 64.0 100.0
Total 3.8 5.9 4.6 20.8 6.4 2.1 56.4 100.0
Male
employed 7.3 4.0 6.4 23.7 30.7 9.5 18.5 100.0
unemployed 12.8 – 10.8 15.8 36.7 9.2 14.7 100.0
inactive 3.3 6.4 4.9 18.7 1.1 0.4 65.1 100.0
Total 4.2 5.9 5.3 19.3 6.6 2.0 56.7 100.0
Female
employed 2.8 1.2 5.7 27.6 27.0 9.4 26.3 100.0
unemployed 11.3 4.2 13.5 16.4 36.1 9.6 8.9 100.0
inactive 3.3 6.7 3.3 21.4 1.7 0.6 63.0 100.0
Total 3.4 5.9 3.9 22.2 6.3 2.1 56.2 100.0
County and region of residence
Total
Central Hungary 3.8 8.5 4.3 22.6 5.2 1.7 53.9 100.0
Budapest 2.9 10.5 4.4 27.0 5.6 2.5 47.1 100.0
Pest 5.0 5.9 4.1 16.6 4.6 0.6 63.1 100.0
Central Transdanubia 4.0 4.1 4.5 22.3 7.1 2.4 55.6 100.0
Fejér 3.7 2.1 1.8 21.4 4.4 2.1 64.6 100.0
Komárom-Esztergom 4.2 9.0 7.1 25.0 12.2 1.6 40.9 100.0
Veszprém 4.3 2.4 5.7 21.2 6.2 3.3 56.9 100.0
Western Transdanubia 2.1 7.0 3.3 16.9 7.2 2.2 61.3 100.0
Győr-Moson-Sopron 2.7 12.1 6.0 20.8 7.7 1.2 49.4 100.0
Vas 1.9 7.5 0.9 14.6 9.0 5.5 60.7 100.0
Zala 1.6 0.8 2.5 14.9 5.0 – 75.3 100.0
Southern Transdanubia 7.6 6.5 5.0 20.7 5.2 0.6 54.3 100.0
Baranya 5.1 5.8 5.3 15.1 6.8 1.3 60.6 100.0
Somogy 11.0 6.8 5.9 16.4 5.0 0.2 54.7 100.0
Tolna 8.1 7.6 3.3 36.2 2.5 – 42.3 100.0
Northern Hungary 4.2 3.4 5.2 23.3 6.2 2.5 55.2 100.0
Borsod-Abaúj-Zemplén 4.2 3.2 5.1 22.5 7.2 3.8 53.9 100.0
Heves 6.6 5.0 4.5 26.5 6.3 0.5 50.6 100.0
Nógrád 1.1 2.0 6.6 22.1 1.9 – 66.4 100.0
Northern Great Plain 3.1 4.2 5.3 16.2 8.1 3.1 60.0 100.0
Hajdú-Bihar 3.0 6.2 6.9 19.6 5.8 3.4 55.0 100.0
Jász-Nagykun-Szolnok 7.7 3.3 4.8 16.4 6.7 4.8 56.3 100.0
Szabolcs-Szatmár-Bereg 0.8 2.5 3.8 12.6 11.2 1.8 67.3 100.0
Southern Great Plain 3.0 4.2 4.7 21.3 7.2 1.9 57.7 100.0
Bács-Kiskun 4.1 4.9 5.3 23.7 8.9 3.7 49.3 100.0
Békés 3.6 5.7 4.4 24.1 10.5 – 51.8 100.0
Csongrád-Csanád 1.6 2.6 4.5 17.6 3.7 1.5 68.4 100.0
Total 3.8 5.9 4.6 20.8 6.4 2.1 56.4 100.0
Male
Central Hungary 4.1 9.5 5.3 19.9 6.1 1.6 53.5 100.0
Budapest 3.6 11.9 5.4 24.8 7.6 2.8 44.0 100.0
Pest 4.7 6.3 5.3 13.4 4.1 – 66.2 100.0
Central Transdanubia 5.6 4.3 6.0 18.1 4.6 3.4 58.1 100.0
Fejér 6.3 0.8 1.7 19.7 3.1 3.0 65.5 100.0
Komárom-Esztergom 5.9 8.8 11.8 21.9 6.2 0.3 45.1 100.0
Veszprém 4.5 4.6 6.1 13.2 5.0 6.4 60.2 100.0
Western Transdanubia 2.6 4.7 3.9 17.0 6.2 2.6 62.9 100.0
Győr-Moson-Sopron 3.5 8.6 7.1 20.3 8.3 1.2 50.8 100.0
Vas 2.3 3.7 1.4 15.5 4.6 7.4 65.2 100.0
Zala 1.9 0.8 2.2 14.3 5.2 – 75.5 100.0
Southern Transdanubia 5.7 7.9 3.6 24.7 6.7 0.9 50.5 100.0
Baranya 5.5 8.5 2.2 19.6 7.5 2.0 54.8 100.0
Somogy 5.2 3.9 5.9 21.7 7.1 – 56.2 100.0
Tolna 6.4 11.1 3.7 37.1 4.8 – 36.8 100.0
Northern Hungary 4.8 3.4 5.0 23.2 5.7 2.0 55.9 100.0
Borsod-Abaúj-Zemplén 4.6 3.4 4.7 23.1 7.0 3.4 53.8 100.0
Heves 8.1 3.0 4.5 27.2 5.9 – 51.2 100.0
Nógrád 0.8 4.1 6.4 17.5 0.7 – 70.6 100.0
Northern Great Plain 4.0 4.4 5.5 14.7 9.6 2.0 59.7 100.0
Hajdú-Bihar 5.6 5.2 8.2 16.8 5.5 4.2 54.5 100.0
Jász-Nagykun-Szolnok 5.6 6.6 3.4 14.8 8.2 1.9 59.5 100.0
Szabolcs-Szatmár-Bereg 1.6 2.6 3.9 12.6 14.4 – 64.9 100.0
Southern Great Plain 3.3 2.1 6.7 19.4 6.6 2.3 59.5 100.0
Bács-Kiskun 3.9 3.2 8.3 22.4 7.8 4.7 49.6 100.0
Békés 5.9 2.1 7.7 21.6 10.6 – 52.2 100.0
Csongrád-Csanád 1.2 1.3 4.9 15.6 3.2 1.8 72.0 100.0
Total 4.2 5.9 5.3 19.3 6.6 2.0 56.7 100.0
Female
Central Hungary 3.5 7.6 3.2 25.3 4.3 1.9 54.2 100.0
Budapest 2.2 9.1 3.5 29.1 3.7 2.3 50.1 100.0
Pest 5.2 5.5 2.9 19.9 5.2 1.3 60.0 100.0
Central Transdanubia 2.4 3.9 3.0 26.6 9.7 1.4 53.0 100.0
Fejér 1.2 3.3 1.8 23.0 5.6 1.3 63.8 100.0
Komárom-Esztergom 2.4 9.1 2.4 28.1 18.4 2.9 36.6 100.0
Veszprém 4.1 – 5.1 30.1 7.5 – 53.2 100.0
Western Transdanubia 1.4 9.8 2.4 16.9 8.5 1.7 59.3 100.0
Győr-Moson-Sopron 1.5 17.2 4.3 21.6 6.9 1.2 47.3 100.0
Vas 1.5 11.1 0.4 13.7 13.3 3.7 56.4 100.0
Zala 1.2 0.8 2.8 15.6 4.6 – 74.9 100.0
Southern Transdanubia 9.5 5.2 6.3 16.8 3.8 0.4 57.9 100.0
Baranya 4.7 3.1 8.4 10.7 6.2 0.6 66.2 100.0
Somogy 16.1 9.4 5.8 11.7 3.2 0.4 53.4 100.0
Tolna 9.9 3.8 3.0 35.2 – – 48.1 100.0
Northern Hungary 3.7 3.3 5.4 23.4 6.6 3.0 54.6 100.0
Borsod-Abaúj-Zemplén 4.0 3.1 5.4 22.0 7.3 4.2 54.0 100.0
Heves 4.8 7.4 4.4 25.5 6.9 1.0 49.9 100.0
Nógrád 1.4 – 6.7 26.4 3.1 – 62.4 100.0
Northern Great Plain 2.4 4.0 5.1 17.5 6.8 3.9 60.3 100.0
Hajdú-Bihar 0.9 7.1 5.9 21.9 6.1 2.8 55.4 100.0
Jász-Nagykun-Szolnok 9.4 0.7 6.0 17.7 5.4 7.1 53.7 100.0
Szabolcs-Szatmár-Bereg – 2.5 3.8 12.6 8.3 3.4 69.4 100.0
Southern Great Plain 2.7 6.3 2.7 23.3 7.8 1.4 55.9 100.0
Bács-Kiskun 4.4 6.6 2.4 24.9 10.0 2.7 49.0 100.0
Békés 1.3 9.5 0.9 26.6 10.4 – 51.3 100.0
Csongrád-Csanád 2.0 4.1 4.0 19.7 4.3 1.2 64.7 100.0
Total 3.4 5.9 3.9 22.2 6.3 2.1 56.2 100.0
The administrative classification of residence
Total
town 2.9 10.5 4.4 27.0 5.6 2.5 47.1 100.0
village 4.4 5.0 4.4 15.8 6.9 2.3 61.1 100.0
Budapest 3.7 4.7 4.8 22.1 6.4 1.7 56.5 100.0
Total 3.8 5.9 4.6 20.8 6.4 2.1 56.4 100.0
Male
town 3.6 11.9 5.4 24.8 7.6 2.8 44.0 100.0
village 5.5 4.6 5.0 13.7 7.1 1.7 62.4 100.0
Budapest 3.5 4.5 5.5 21.4 5.9 2.0 57.2 100.0
Total 4.2 5.9 5.3 19.3 6.6 2.0 56.7 100.0
Female
town 2.2 9.1 3.5 29.1 3.7 2.3 50.1 100.0
village 3.4 5.4 3.9 17.8 6.7 3.0 59.9 100.0
Budapest 4.0 4.9 4.2 22.7 7.0 1.5 55.8 100.0
Total 3.4 5.9 3.9 22.2 6.3 2.1 56.2 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011