9.4.2.8. People aged 15–29 by their plans to participate in any education or training in the next two years*(2/2)

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Denomination The respondent is planning to participate in trainings The respondent is not planning to participate in trainings Total
only in Hungary only abroad in Hungary and also abroad but he/she has not decided yet, where
%
Age group
Total
15–19 76.3 0.4 1.5 4.3 17.6 100.0
20–24 39.1 0.3 2.0 3.8 54.7 100.0
25–29 11.8 0.7 1.3 2.6 83.7 100.0
Total 40.3 0.5 1.6 3.5 54.1 100.0
Male
15–19 76.4 0.6 0.7 3.8 18.5 100.0
20–24 37.5 0.2 1.6 3.7 57.0 100.0
25–29 10.3 0.8 1.3 2.6 85.0 100.0
Total 39.3 0.5 1.2 3.3 55.6 100.0
Female
15–19 76.2 0.2 2.3 4.7 16.6 100.0
20–24 40.9 0.4 2.5 4.0 52.2 100.0
25–29 13.3 0.6 1.3 2.5 82.4 100.0
Total 41.4 0.4 2.0 3.7 52.5 100.0
Educational attainment
Total
At most 8 grades of primary school 58.8 0.4 1.2 3.4 36.2 100.0
Vocational school, apprentice school 11.0 0.5 0.0 2.1 86.5 100.0
Secondary general school 53.0 0.5 2.8 4.6 39.1 100.0
Secondary vocational school 17.9 0.6 0.3 3.2 77.9 100.0
College, university, PhD, DLA 20.0 0.5 3.3 3.4 72.7 100.0
Total 40.3 0.5 1.6 3.5 54.1 100.0
Male
At most 8 grades of primary school 58.1 0.6 0.7 3.1 37.4 100.0
Vocational school, apprentice school 8.9 0.5 0.1 1.7 88.8 100.0
Secondary general school 56.0 0.6 2.2 4.3 36.9 100.0
Secondary vocational school 18.7 0.6 0.4 4.2 76.0 100.0
College, university, PhD, DLA 19.2 3.9 3.5 73.4 100.0
Total 39.3 0.5 1.2 3.3 55.6 100.0
Female
At most 8 grades of primary school 59.4 0.2 1.8 3.7 35.0 100.0
Vocational school, apprentice school 15.1 0.4 2.7 81.8 100.0
Secondary general school 50.5 0.4 3.3 4.9 41.0 100.0
Secondary vocational school 17.0 0.6 0.1 2.1 80.3 100.0
College, university, PhD, DLA 20.4 0.9 2.9 3.4 72.3 100.0
Total 41.4 0.4 2.0 3.7 52.5 100.0
Economic activity
Total
employed 11.5 0.4 0.9 3.2 84.1 100.0
unemployed 16.6 1.0 4.6 77.8 100.0
inactive 67.3 0.6 2.3 3.7 26.2 100.0
Total 40.3 0.5 1.6 3.5 54.1 100.0
Male
employed 9.8 0.4 0.9 2.8 86.1 100.0
unemployed 13.8 0.9 4.7 80.6 100.0
inactive 74.6 0.7 1.6 3.8 19.3 100.0
Total 39.3 0.5 1.2 3.3 55.6 100.0
Female
employed 13.7 0.4 0.8 3.7 81.4 100.0
unemployed 20.6 1.1 4.5 73.8 100.0
inactive 61.3 0.4 2.8 3.6 31.9 100.0
Total 41.4 0.4 2.0 3.7 52.5 100.0
County and region of residence
Total
Central Hungary 41.9 0.7 3.6 3.2 50.6 100.0
Budapest 41.2 1.1 5.7 2.3 49.7 100.0
Pest 42.9 0.2 0.7 4.4 51.7 100.0
Central Transdanubia 36.5 0.6 0.8 5.3 56.8 100.0
Fejér 39.3 0.3 0.2 4.6 55.6 100.0
Komárom-Esztergom 31.0 2.3 8.4 58.4 100.0
Veszprém 38.0 1.6 0.3 3.3 56.7 100.0
Western Transdanubia 32.9 1.1 1.2 4.1 60.7 100.0
Győr-Moson-Sopron 24.0 1.4 1.4 3.2 70.1 100.0
Vas 38.4 0.3 2.0 7.1 52.3 100.0
Zala 43.5 1.3 0.2 2.7 52.4 100.0
Southern Transdanubia 38.9 0.3 0.8 4.5 55.5 100.0
Baranya 42.4 0.3 1.0 4.6 51.8 100.0
Somogy 32.0 0.5 1.2 6.2 60.2 100.0
Tolna 42.3 0.1 2.2 55.4 100.0
Northern Hungary 39.6 0.2 0.8 2.7 56.8 100.0
Borsod-Abaúj-Zemplén 41.8 0.2 1.2 2.4 54.4 100.0
Heves 34.1 0.3 3.0 62.6 100.0
Nógrád 39.4 0.3 3.2 57.1 100.0
Northern Great Plain 44.0 0.1 0.5 2.3 53.1 100.0
Hajdú-Bihar 47.7 4.1 48.2 100.0
Jász-Nagykun-Szolnok 39.1 1.1 2.0 57.8 100.0
Szabolcs-Szatmár-Bereg 43.4 0.2 0.6 1.0 54.8 100.0
Southern Great Plain 42.5 0.3 0.9 3.8 52.5 100.0
Bács-Kiskun 34.6 0.2 0.3 4.6 60.4 100.0
Békés 39.6 0.7 0.5 4.2 55.0 100.0
Csongrád-Csanád 55.0 0.2 2.0 2.4 40.4 100.0
Total 40.3 0.5 1.6 3.5 54.1 100.0
Male
Central Hungary 42.5 0.7 2.8 3.4 50.7 100.0
Budapest 41.0 1.2 4.5 3.8 49.5 100.0
Pest 44.3 0.6 2.9 52.2 100.0
Central Transdanubia 36.2 1.0 0.8 4.2 57.9 100.0
Fejér 37.3 4.9 57.8 100.0
Komárom-Esztergom 33.9 1.9 4.8 59.4 100.0
Veszprém 36.8 3.0 0.7 2.9 56.5 100.0
Western Transdanubia 34.3 1.8 1.1 4.8 58.0 100.0
Győr-Moson-Sopron 26.8 2.7 0.5 4.9 65.1 100.0
Vas 37.2 2.8 6.1 53.8 100.0
Zala 44.7 1.9 0.4 3.5 49.6 100.0
Southern Transdanubia 38.0 0.4 4.2 57.5 100.0
Baranya 39.6 0.7 5.8 54.0 100.0
Somogy 32.9 0.4 3.7 63.0 100.0
Tolna 41.8 2.2 56.0 100.0
Northern Hungary 36.6 0.1 0.8 2.8 59.7 100.0
Borsod-Abaúj-Zemplén 36.5 0.1 1.2 2.4 59.7 100.0
Heves 36.9 3.5 59.6 100.0
Nógrád 36.7 0.2 3.1 60.0 100.0
Northern Great Plain 39.8 0.1 1.6 58.5 100.0
Hajdú-Bihar 43.7 1.3 55.0 100.0
Jász-Nagykun-Szolnok 33.0 3.6 63.4 100.0
Szabolcs-Szatmár-Bereg 40.2 0.2 0.8 58.8 100.0
Southern Great Plain 41.8 0.4 1.0 3.5 53.3 100.0
Bács-Kiskun 33.6 0.2 0.3 4.0 61.9 100.0
Békés 37.5 0.9 0.3 5.3 56.0 100.0
Csongrád-Csanád 55.9 0.4 2.5 1.3 39.9 100.0
Total 39.3 0.5 1.2 3.3 55.6 100.0
Female
Central Hungary 41.4 0.8 4.4 3.0 50.4 100.0
Budapest 41.3 1.0 6.9 0.8 49.9 100.0
Pest 41.5 0.5 0.8 6.0 51.1 100.0
Central Transdanubia 36.9 0.2 0.9 6.4 55.6 100.0
Fejér 41.5 0.6 0.4 4.3 53.2 100.0
Komárom-Esztergom 27.9 2.7 12.2 57.2 100.0
Veszprém 39.2 3.8 57.0 100.0
Western Transdanubia 31.4 0.3 1.3 3.2 63.7 100.0
Győr-Moson-Sopron 21.1 2.2 1.4 75.3 100.0
Vas 39.6 0.5 1.1 8.2 50.6 100.0
Zala 42.1 0.7 1.7 55.5 100.0
Southern Transdanubia 39.8 0.6 1.3 4.9 53.5 100.0
Baranya 45.3 0.6 1.3 3.2 49.6 100.0
Somogy 31.0 1.0 2.1 8.7 57.3 100.0
Tolna 42.8 0.2 2.2 54.8 100.0
Northern Hungary 42.7 0.3 0.8 2.6 53.6 100.0
Borsod-Abaúj-Zemplén 47.4 0.2 1.2 2.4 48.8 100.0
Heves 31.2 0.7 2.4 65.7 100.0
Nógrád 42.3 0.4 3.3 53.9 100.0
Northern Great Plain 48.4 0.1 1.0 3.1 47.4 100.0
Hajdú-Bihar 52.0 6.9 41.1 100.0
Jász-Nagykun-Szolnok 45.6 2.2 0.4 51.8 100.0
Szabolcs-Szatmár-Bereg 46.8 0.2 1.3 1.1 50.6 100.0
Southern Great Plain 43.3 0.2 0.8 4.1 51.6 100.0
Bács-Kiskun 35.6 0.2 0.3 5.2 58.7 100.0
Békés 41.7 0.6 0.7 3.0 54.0 100.0
Csongrád-Csanád 54.0 1.5 3.5 40.9 100.0
Total 41.4 0.4 2.0 3.7 52.5 100.0
The administrative classification of residence
Total
town 41.2 1.1 5.7 2.3 49.7 100.0
village 39.3 0.4 0.4 3.5 56.4 100.0
Budapest 40.8 0.4 1.1 3.9 53.8 100.0
Total 40.3 0.5 1.6 3.5 54.1 100.0
Male
town 41.0 1.2 4.5 3.8 49.5 100.0
village 37.5 0.3 0.3 3.0 58.8 100.0
Budapest 40.2 0.5 0.9 3.5 55.0 100.0
Total 39.3 0.5 1.2 3.3 55.6 100.0
Female
town 41.3 1.0 6.9 0.8 49.9 100.0
village 41.3 0.4 0.5 4.0 53.8 100.0
Budapest 41.5 0.2 1.3 4.4 52.6 100.0
Total 41.4 0.4 2.0 3.7 52.5 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011