9.4.1.17. People aged 15–29 by the reason for neither working nor studying*(2/2)

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Denomination The respondent Total
neither works nor studies because of family responsibilities wanted to learn, but he/she was not admitted wanted to work but he/she does not find (appropriate) job neither works nor studies becasue of another reason he/she does not want to work or study now without any special reason
%
Age group
Total
15–19 18.9 11.2 46.3 11.6 12.0 100.0
20–24 33.5 2.7 50.6 10.0 3.2 100.0
25–29 – – – – – –
Total 30.7 4.3 49.8 10.3 4.9 100.0
Male
15–19 1.1 6.6 63.5 14.8 14.0 100.0
20–24 3.4 2.6 75.2 14.8 4.0 100.0
25–29 – – – – – –
Total 2.9 3.4 73.0 14.8 5.9 100.0
Female
15–19 32.6 14.7 33.2 9.1 10.4 100.0
20–24 55.5 2.8 32.5 6.6 2.6 100.0
25–29 – – – – – –
Total 51.2 5.0 32.7 7.0 4.1 100.0
Educational attainment
Total
At most 8 grades of primary school 39.1 1.9 39.7 12.7 6.5 100.0
Vocational school, apprentice school 24.0 3.6 60.7 7.4 4.2 100.0
Secondary general school 26.1 12.2 48.2 11.4 2.1 100.0
Secondary vocational school 15.9 1.8 72.7 5.4 4.3 100.0
College, university, PhD, DLA 20.7 12.0 63.9 3.3 – 100.0
Total 30.7 4.3 49.8 10.3 4.9 100.0
Male
At most 8 grades of primary school 3.3 2.1 67.4 18.8 8.4 100.0
Vocational school, apprentice school 2.6 3.5 79.5 10.2 4.2 100.0
Secondary general school 2.0 6.8 68.8 20.1 2.2 100.0
Secondary vocational school 4.2 4.1 80.5 4.5 6.7 100.0
College, university, PhD, DLA – – 93.9 6.1 – 100.0
Total 2.9 3.4 73.0 14.8 5.9 100.0
Female
At most 8 grades of primary school 61.9 1.8 22.1 8.9 5.3 100.0
Vocational school, apprentice school 50.3 3.8 37.6 4.0 4.3 100.0
Secondary general school 40.7 15.4 35.8 6.1 2.0 100.0
Secondary vocational school 24.7 – 66.8 6.0 2.5 100.0
College, university, PhD, DLA 32.6 18.9 46.7 1.7 – 100.0
Total 51.2 5.0 32.7 7.0 4.1 100.0
County and region of residence
Total
Central Hungary 32.1 8.2 43.6 7.6 8.5 100.0
Budapest 31.5 9.1 45.5 7.8 6.1 100.0
Pest 33.0 7.0 41.2 7.4 11.4 100.0
Central Transdanubia 42.5 – 35.8 12.0 9.7 100.0
Fejér 84.3 – 13.2 2.5 – 100.0
Komárom-Esztergom 28.2 – 44.4 12.7 14.7 100.0
Veszprém 29.3 – 41.7 18.6 10.4 100.0
Western Transdanubia 35.8 2.4 55.4 4.5 1.8 100.0
Győr-Moson-Sopron 38.3 – 56.6 5.1 – 100.0
Vas 23.5 – 76.5 – – 100.0
Zala 35.4 7.6 46.0 5.1 5.8 100.0
Southern Transdanubia 31.0 2.4 45.5 15.0 6.0 100.0
Baranya 42.8 – 46.6 10.6 – 100.0
Somogy 24.2 – 43.4 19.9 12.4 100.0
Tolna 23.6 12.3 48.0 12.7 3.4 100.0
Northern Hungary 35.8 2.2 49.8 9.0 3.3 100.0
Borsod-Abaúj-Zemplén 30.3 2.9 53.9 8.8 4.2 100.0
Heves 45.2 1.3 39.9 11.3 2.3 100.0
Nógrád 49.8 – 44.1 6.0 – 100.0
Northern Great Plain 25.0 3.5 56.9 11.1 3.4 100.0
Hajdú-Bihar 38.8 3.7 36.4 19.0 2.0 100.0
Jász-Nagykun-Szolnok 22.9 – 64.0 13.1 – 100.0
Szabolcs-Szatmár-Bereg 18.4 4.8 65.4 6.0 5.4 100.0
Southern Great Plain 24.0 7.4 52.2 13.4 3.1 100.0
Bács-Kiskun 21.2 10.4 50.3 13.0 5.1 100.0
Békés 21.7 7.5 47.1 22.8 0.9 100.0
Csongrád-Csanád 34.3 – 64.2 – 1.5 100.0
Total 30.7 4.3 49.8 10.3 4.9 100.0
Male
Central Hungary 3.9 3.1 72.1 8.0 12.9 100.0
Budapest 4.4 – 88.7 – 6.9 100.0
Pest 3.4 6.9 51.1 18.1 20.5 100.0
Central Transdanubia – – 69.3 15.2 15.5 100.0
Fejér – – 100.0 – – 100.0
Komárom-Esztergom – – 62.7 15.8 21.5 100.0
Veszprém – – 70.8 18.3 10.9 100.0
Western Transdanubia – 4.6 91.3 3.1 0.9 100.0
Győr-Moson-Sopron – – 100.0 – – 100.0
Vas – – 100.0 – – 100.0
Zala – 17.0 68.1 11.4 3.5 100.0
Southern Transdanubia 4.6 – 68.8 24.7 1.8 100.0
Baranya 5.3 – 76.0 18.6 – 100.0
Somogy 7.3 – 59.9 32.9 – 100.0
Tolna – – 70.1 22.8 7.1 100.0
Northern Hungary 3.5 1.0 76.7 14.1 4.6 100.0
Borsod-Abaúj-Zemplén 3.1 1.5 76.4 12.2 6.7 100.0
Heves 9.0 – 66.5 24.5 – 100.0
Nógrád – – 88.0 12.0 – 100.0
Northern Great Plain 3.6 3.2 71.6 16.5 5.1 100.0
Hajdú-Bihar 5.2 9.7 58.3 26.8 – 100.0
Jász-Nagykun-Szolnok – – 78.5 21.5 – 100.0
Szabolcs-Szatmár-Bereg 4.3 1.9 74.2 10.9 8.7 100.0
Southern Great Plain 1.2 8.6 67.2 20.1 2.8 100.0
Bács-Kiskun – 18.8 57.1 19.5 4.6 100.0
Békés 3.2 – 65.9 29.1 1.7 100.0
Csongrád-Csanád – – 100.0 – – 100.0
Total 2.9 3.4 73.0 14.8 5.9 100.0
Female
Central Hungary 52.0 11.7 23.6 7.3 5.4 100.0
Budapest 50.9 15.6 14.6 13.3 5.6 100.0
Pest 53.4 7.0 34.5 – 5.1 100.0
Central Transdanubia 64.1 – 18.8 10.3 6.8 100.0
Fejér 97.1 – – 2.9 – 100.0
Komárom-Esztergom 47.4 – 31.9 10.6 10.1 100.0
Veszprém 49.2 – 21.9 18.9 10.0 100.0
Western Transdanubia 59.1 0.9 32.1 5.5 2.4 100.0
Győr-Moson-Sopron 66.0 – 25.3 8.7 – 100.0
Vas 39.0 – 61.0 – – 100.0
Zala 54.0 2.7 34.4 1.8 7.1 100.0
Southern Transdanubia 46.5 3.9 31.8 9.3 8.5 100.0
Baranya 66.7 – 27.8 5.5 – 100.0
Somogy 31.6 – 36.3 14.3 17.8 100.0
Tolna 45.5 23.7 27.5 3.3 – 100.0
Northern Hungary 56.6 3.0 32.4 5.6 2.5 100.0
Borsod-Abaúj-Zemplén 48.5 3.8 38.7 6.4 2.5 100.0
Heves 60.3 1.8 28.8 5.8 3.3 100.0
Nógrád 100.0 – – – – 100.0
Northern Great Plain 45.9 3.9 42.6 5.8 1.8 100.0
Hajdú-Bihar 59.8 – 22.8 14.2 3.3 100.0
Jász-Nagykun-Szolnok 46.0 – 49.4 4.7 – 100.0
Szabolcs-Szatmár-Bereg 35.6 8.3 54.6 – 1.4 100.0
Southern Great Plain 43.4 6.3 39.3 7.6 3.3 100.0
Bács-Kiskun 37.6 4.0 45.2 7.9 5.4 100.0
Békés 45.8 17.2 22.5 14.5 – 100.0
Csongrád-Csanád 53.3 – 44.4 – 2.3 100.0
Total 51.2 5.0 32.7 7.0 4.1 100.0
The administrative classification of residence
Total
town 31.5 9.1 45.5 7.8 6.1 100.0
village 29.9 2.5 52.6 10.6 4.5 100.0
Budapest 31.5 5.2 47.7 10.7 5.0 100.0
Total 30.7 4.3 49.8 10.3 4.9 100.0
Male
town 4.4 – 88.7 – 6.9 100.0
village 3.4 2.4 74.7 13.6 5.9 100.0
Budapest 2.0 5.3 67.0 20.0 5.7 100.0
Total 2.9 3.4 73.0 14.8 5.9 100.0
Female
town 50.9 15.6 14.6 13.3 5.6 100.0
village 50.5 2.5 35.3 8.3 3.4 100.0
Budapest 52.0 5.1 34.3 4.2 4.4 100.0
Total 51.2 5.0 32.7 7.0 4.1 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011