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

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Denomination The respondent Total
wants to learn as a main activity in full-time education wants to learn as a main activity in part-time education wants to learn while working does not know yet, in which form he/she wants to learn
%
Age group
Total
15–19 95.2 0.8 1.9 2.1 100.0
20–24 74.8 1.4 18.6 5.2 100.0
25–29 27.7 2.5 56.7 13.2 100.0
Total 79.6 1.2 14.6 4.6 100.0
Male
15–19 94.9 0.5 2.7 2.0 100.0
20–24 78.1 1.4 15.5 5.0 100.0
25–29 22.8 1.2 63.4 12.6 100.0
Total 80.5 0.9 14.3 4.3 100.0
Female
15–19 95.6 1.1 1.0 2.3 100.0
20–24 71.7 1.4 21.4 5.5 100.0
25–29 32.1 3.6 50.7 13.7 100.0
Total 78.7 1.5 14.8 4.9 100.0
Educational attainment
Total
At most 8 grades of primary school 92.3 0.7 3.8 3.2 100.0
Vocational school, apprentice school 34.8 3.1 51.3 10.8 100.0
Secondary general school 83.7 1.5 11.2 3.6 100.0
Secondary vocational school 40.9 1.4 46.6 11.0 100.0
College, university, PhD, DLA 38.8 1.9 50.3 9.0 100.0
Total 79.6 1.2 14.6 4.6 100.0
Male
At most 8 grades of primary school 91.8 0.6 4.6 2.9 100.0
Vocational school, apprentice school 39.1 2.0 49.0 9.9 100.0
Secondary general school 87.1 1.2 9.1 2.7 100.0
Secondary vocational school 39.7 1.0 48.1 11.2 100.0
College, university, PhD, DLA 40.9 0.8 48.9 9.3 100.0
Total 80.5 0.9 14.3 4.3 100.0
Female
At most 8 grades of primary school 92.8 0.9 2.9 3.4 100.0
Vocational school, apprentice school 29.4 4.5 54.2 12.0 100.0
Secondary general school 80.7 1.8 13.1 4.4 100.0
Secondary vocational school 42.9 2.1 44.3 10.7 100.0
College, university, PhD, DLA 37.5 2.5 51.2 8.8 100.0
Total 78.7 1.5 14.8 4.9 100.0
Economic activity
Total
employed 11.1 2.5 75.4 11.0 100.0
unemployed 23.8 1.5 47.9 26.9 100.0
inactive 93.9 1.0 2.4 2.7 100.0
Total 79.6 1.2 14.6 4.6 100.0
Male
employed 12.9 1.6 73.1 12.4 100.0
unemployed 18.7 1.3 57.6 22.4 100.0
inactive 95.1 0.7 2.0 2.2 100.0
Total 80.5 0.9 14.3 4.3 100.0
Female
employed 9.3 3.4 77.7 9.7 100.0
unemployed 28.9 1.7 37.9 31.5 100.0
inactive 92.7 1.2 2.8 3.3 100.0
Total 78.7 1.5 14.8 4.9 100.0
County and region of residence
Total
Central Hungary 80.3 0.8 14.6 4.4 100.0
Budapest 76.8 0.6 19.0 3.6 100.0
Pest 85.0 0.9 8.6 5.4 100.0
Central Transdanubia 75.2 2.4 17.1 5.4 100.0
Fejér 79.7 3.7 9.1 7.5 100.0
Komárom-Esztergom 63.0 2.4 29.3 5.3 100.0
Veszprém 80.0 0.6 16.7 2.6 100.0
Western Transdanubia 79.6 1.4 16.5 2.5 100.0
Győr-Moson-Sopron 82.8 1.3 14.5 1.4 100.0
Vas 73.0 – 22.7 4.3 100.0
Zala 82.5 3.0 12.6 2.0 100.0
Southern Transdanubia 83.9 0.8 10.4 4.9 100.0
Baranya 86.4 – 10.7 3.0 100.0
Somogy 85.2 0.4 6.1 8.3 100.0
Tolna 77.9 2.7 15.1 4.3 100.0
Northern Hungary 79.8 0.7 14.7 4.9 100.0
Borsod-Abaúj-Zemplén 76.0 1.1 17.9 5.0 100.0
Heves 88.3 – 8.8 2.9 100.0
Nógrád 83.9 – 9.2 6.9 100.0
Northern Great Plain 79.7 1.6 14.6 4.2 100.0
Hajdú-Bihar 78.9 1.5 15.4 4.2 100.0
Jász-Nagykun-Szolnok 82.8 1.0 11.0 5.2 100.0
Szabolcs-Szatmár-Bereg 78.8 1.9 15.6 3.7 100.0
Southern Great Plain 78.5 1.5 14.1 5.9 100.0
Bács-Kiskun 73.1 1.7 18.1 7.1 100.0
Békés 76.9 2.4 14.1 6.5 100.0
Csongrád-Csanád 83.9 0.7 10.8 4.6 100.0
Total 79.6 1.2 14.6 4.6 100.0
Male
Central Hungary 80.8 0.2 14.4 4.5 100.0
Budapest 73.7 – 20.9 5.4 100.0
Pest 90.2 0.5 5.9 3.4 100.0
Central Transdanubia 77.0 1.9 16.4 4.7 100.0
Fejér 82.6 1.8 7.9 7.7 100.0
Komárom-Esztergom 69.6 3.1 25.2 2.1 100.0
Veszprém 76.5 1.1 19.1 3.3 100.0
Western Transdanubia 78.4 1.3 18.0 2.3 100.0
Győr-Moson-Sopron 82.6 1.0 15.1 1.2 100.0
Vas 71.1 – 26.6 2.3 100.0
Zala 79.7 2.8 14.0 3.5 100.0
Southern Transdanubia 84.1 – 12.9 2.9 100.0
Baranya 84.9 – 14.1 0.9 100.0
Somogy 86.8 – 8.2 5.0 100.0
Tolna 79.8 – 16.0 4.2 100.0
Northern Hungary 80.3 0.7 14.4 4.6 100.0
Borsod-Abaúj-Zemplén 75.4 1.2 18.2 5.2 100.0
Heves 88.8 – 9.5 1.8 100.0
Nógrád 86.0 – 7.3 6.7 100.0
Northern Great Plain 81.7 1.0 13.3 4.0 100.0
Hajdú-Bihar 85.5 0.5 11.7 2.3 100.0
Jász-Nagykun-Szolnok 80.2 – 11.1 8.8 100.0
Szabolcs-Szatmár-Bereg 78.8 2.0 16.0 3.2 100.0
Southern Great Plain 80.6 1.8 12.1 5.5 100.0
Bács-Kiskun 80.5 0.5 13.6 5.3 100.0
Békés 72.3 4.8 14.2 8.7 100.0
Csongrád-Csanád 85.9 0.9 9.5 3.6 100.0
Total 80.5 0.9 14.3 4.3 100.0
Female
Central Hungary 79.8 1.3 14.8 4.2 100.0
Budapest 79.8 1.2 17.1 1.8 100.0
Pest 79.8 1.4 11.4 7.5 100.0
Central Transdanubia 73.3 2.8 17.8 6.0 100.0
Fejér 76.9 5.5 10.2 7.4 100.0
Komárom-Esztergom 56.3 1.7 33.4 8.6 100.0
Veszprém 83.9 – 14.2 1.9 100.0
Western Transdanubia 81.1 1.6 14.6 2.7 100.0
Győr-Moson-Sopron 83.2 1.8 13.5 1.5 100.0
Vas 74.9 – 18.9 6.2 100.0
Zala 86.1 3.1 10.8 – 100.0
Southern Transdanubia 83.7 1.6 7.9 6.8 100.0
Baranya 87.8 – 7.2 5.0 100.0
Somogy 83.7 0.8 4.3 11.2 100.0
Tolna 75.8 5.7 14.1 4.5 100.0
Northern Hungary 79.3 0.7 14.9 5.1 100.0
Borsod-Abaúj-Zemplén 76.4 1.0 17.7 4.9 100.0
Heves 87.8 – 8.0 4.2 100.0
Nógrád 81.9 – 10.9 7.2 100.0
Northern Great Plain 78.0 2.0 15.6 4.4 100.0
Hajdú-Bihar 73.5 2.3 18.5 5.6 100.0
Jász-Nagykun-Szolnok 84.9 1.9 10.9 2.3 100.0
Szabolcs-Szatmár-Bereg 78.9 1.8 15.2 4.1 100.0
Southern Great Plain 76.3 1.1 16.2 6.4 100.0
Bács-Kiskun 65.9 2.8 22.5 8.9 100.0
Békés 81.7 – 14.0 4.3 100.0
Csongrád-Csanád 81.8 0.5 12.1 5.7 100.0
Total 78.7 1.5 14.8 4.9 100.0
The administrative classification of residence
Total
town 76.8 0.6 19.0 3.6 100.0
village 82.1 1.4 11.9 4.6 100.0
Budapest 78.8 1.3 14.9 5.0 100.0
Total 79.6 1.2 14.6 4.6 100.0
Male
town 73.7 – 20.9 5.4 100.0
village 82.8 0.9 12.6 3.7 100.0
Budapest 81.4 1.2 13.2 4.3 100.0
Total 80.5 0.9 14.3 4.3 100.0
Female
town 79.8 1.2 17.1 1.8 100.0
village 81.4 1.8 11.3 5.5 100.0
Budapest 76.3 1.4 16.5 5.7 100.0
Total 78.7 1.5 14.8 4.9 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011