9.4.2.13. People aged 15–29 by the satisfaction with their studies in respect of their job*(2/2)

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Denomination The respondent Total
is statisfied with his/her studies so far is not statisfied with his/her studies because of the unfavorable employment opportunities is not statisfied with his/her studies because his/her professional interest changed is not statisfied with his/her studies because of another reason
%
Age group
Total
15–19 40.0 51.3 3.5 5.1 100.0
20–24 57.8 34.9 5.5 1.8 100.0
25–29 67.1 27.0 4.6 1.3 100.0
Total 62.9 30.6 4.9 1.6 100.0
Male
15–19 43.3 49.5 1.7 5.5 100.0
20–24 58.8 35.4 4.2 1.6 100.0
25–29 67.5 26.2 4.6 1.7 100.0
Total 63.5 30.4 4.3 1.8 100.0
Female
15–19 33.5 54.9 7.2 4.5 100.0
20–24 56.5 34.5 6.9 2.1 100.0
25–29 66.6 28.0 4.6 0.8 100.0
Total 62.3 30.9 5.5 1.3 100.0
Educational attainment
Total
At most 8 grades of primary school 29.1 61.7 4.2 5.1 100.0
Vocational school, apprentice school 62.8 30.2 5.6 1.4 100.0
Secondary general school 51.8 39.6 7.1 1.5 100.0
Secondary vocational school 73.0 20.7 5.7 0.6 100.0
College, university, PhD, DLA 86.2 11.5 2.0 0.3 100.0
Total 62.9 30.6 4.9 1.6 100.0
Male
At most 8 grades of primary school 29.8 60.8 3.8 5.6 100.0
Vocational school, apprentice school 67.3 26.6 4.7 1.4 100.0
Secondary general school 51.5 41.2 5.3 2.0 100.0
Secondary vocational school 74.9 19.5 5.3 0.3 100.0
College, university, PhD, DLA 88.3 9.3 2.0 0.4 100.0
Total 63.5 30.4 4.3 1.8 100.0
Female
At most 8 grades of primary school 27.8 63.1 4.8 4.3 100.0
Vocational school, apprentice school 53.0 38.0 7.7 1.3 100.0
Secondary general school 52.1 38.4 8.4 1.1 100.0
Secondary vocational school 70.8 22.2 6.1 1.0 100.0
College, university, PhD, DLA 84.8 13.0 1.9 0.3 100.0
Total 62.3 30.9 5.5 1.3 100.0
Economic activity
Total
employed 67.0 27.0 4.6 1.4 100.0
unemployed 27.8 65.8 4.9 1.5 100.0
inactive 51.6 38.6 6.6 3.2 100.0
Total 62.9 30.6 4.9 1.6 100.0
Male
employed 66.7 27.4 4.3 1.6 100.0
unemployed 30.5 62.3 6.0 1.1 100.0
inactive 46.0 41.8 2.8 9.4 100.0
Total 63.5 30.4 4.3 1.8 100.0
Female
employed 67.3 26.4 5.1 1.1 100.0
unemployed 23.6 71.2 3.2 2.1 100.0
inactive 52.9 37.8 7.5 1.8 100.0
Total 62.3 30.9 5.5 1.3 100.0
County and region of residence
Total
Central Hungary 68.8 25.2 4.9 1.2 100.0
Budapest 67.3 27.6 4.3 0.8 100.0
Pest 70.9 21.6 5.7 1.8 100.0
Central Transdanubia 62.9 30.1 4.3 2.7 100.0
Fejér 69.1 25.2 3.2 2.6 100.0
Komárom-Esztergom 58.1 32.0 5.9 3.9 100.0
Veszprém 60.3 34.0 4.1 1.6 100.0
Western Transdanubia 64.1 26.9 8.0 1.0 100.0
Győr-Moson-Sopron 61.5 25.5 11.6 1.4 100.0
Vas 62.5 32.4 3.9 1.2 100.0
Zala 71.0 23.9 5.1 – 100.0
Southern Transdanubia 64.0 30.3 4.4 1.3 100.0
Baranya 69.4 26.1 2.9 1.5 100.0
Somogy 63.2 31.9 3.2 1.7 100.0
Tolna 56.6 34.7 8.3 0.5 100.0
Northern Hungary 56.0 35.5 5.1 3.4 100.0
Borsod-Abaúj-Zemplén 56.5 34.2 4.0 5.3 100.0
Heves 53.7 39.9 6.4 – 100.0
Nógrád 57.7 33.6 7.9 0.8 100.0
Northern Great Plain 57.2 37.1 4.0 1.7 100.0
Hajdú-Bihar 65.2 33.1 1.3 0.4 100.0
Jász-Nagykun-Szolnok 51.3 38.9 5.7 4.1 100.0
Szabolcs-Szatmár-Bereg 54.4 39.2 5.2 1.2 100.0
Southern Great Plain 61.9 33.8 3.9 0.3 100.0
Bács-Kiskun 60.7 34.4 4.2 0.8 100.0
Békés 58.9 36.3 4.7 – 100.0
Csongrád-Csanád 66.7 30.6 2.7 – 100.0
Total 62.9 30.6 4.9 1.6 100.0
Male
Central Hungary 67.3 26.1 4.9 1.7 100.0
Budapest 67.1 27.3 4.6 1.1 100.0
Pest 67.5 24.5 5.4 2.6 100.0
Central Transdanubia 61.5 32.2 3.5 2.8 100.0
Fejér 71.0 26.8 – 2.2 100.0
Komárom-Esztergom 58.2 33.4 5.0 3.4 100.0
Veszprém 53.3 37.5 6.3 2.9 100.0
Western Transdanubia 70.3 23.6 5.1 1.0 100.0
Győr-Moson-Sopron 72.7 19.6 5.8 2.0 100.0
Vas 64.2 32.1 3.7 – 100.0
Zala 72.6 22.0 5.4 – 100.0
Southern Transdanubia 66.0 28.9 3.9 1.2 100.0
Baranya 68.4 29.9 1.8 – 100.0
Somogy 71.4 22.5 2.9 3.1 100.0
Tolna 55.4 35.5 8.4 0.8 100.0
Northern Hungary 56.6 33.8 5.6 4.0 100.0
Borsod-Abaúj-Zemplén 55.6 32.9 5.6 5.9 100.0
Heves 56.7 36.9 6.4 – 100.0
Nógrád 60.9 33.2 4.6 1.4 100.0
Northern Great Plain 57.9 37.0 3.4 1.6 100.0
Hajdú-Bihar 64.4 34.1 0.8 0.6 100.0
Jász-Nagykun-Szolnok 52.2 37.6 5.9 4.3 100.0
Szabolcs-Szatmár-Bereg 56.0 39.3 4.0 0.7 100.0
Southern Great Plain 64.7 31.5 3.5 0.3 100.0
Bács-Kiskun 62.6 32.5 4.2 0.6 100.0
Békés 64.5 33.4 2.1 – 100.0
Csongrád-Csanád 68.1 27.9 3.9 – 100.0
Total 63.5 30.4 4.3 1.8 100.0
Female
Central Hungary 70.3 24.2 4.8 0.7 100.0
Budapest 67.6 27.9 4.1 0.5 100.0
Pest 74.6 18.4 6.0 1.0 100.0
Central Transdanubia 64.4 27.8 5.2 2.5 100.0
Fejér 66.9 23.2 6.9 3.0 100.0
Komárom-Esztergom 58.1 30.6 6.8 4.5 100.0
Veszprém 68.2 30.2 1.7 – 100.0
Western Transdanubia 57.9 30.2 10.9 1.0 100.0
Győr-Moson-Sopron 51.0 31.0 17.2 0.8 100.0
Vas 60.7 32.7 4.2 2.5 100.0
Zala 69.3 25.8 4.8 – 100.0
Southern Transdanubia 61.6 32.1 5.0 1.4 100.0
Baranya 70.8 21.4 4.4 3.4 100.0
Somogy 52.9 43.6 3.5 – 100.0
Tolna 58.3 33.7 8.1 – 100.0
Northern Hungary 55.1 38.0 4.5 2.4 100.0
Borsod-Abaúj-Zemplén 57.8 36.4 1.6 4.2 100.0
Heves 50.6 43.0 6.4 – 100.0
Nógrád 53.0 34.1 12.9 – 100.0
Northern Great Plain 56.2 37.1 4.9 1.8 100.0
Hajdú-Bihar 66.4 31.6 2.1 – 100.0
Jász-Nagykun-Szolnok 50.1 40.7 5.3 4.0 100.0
Szabolcs-Szatmár-Bereg 52.5 39.1 6.7 1.8 100.0
Southern Great Plain 58.9 36.4 4.3 0.4 100.0
Bács-Kiskun 58.5 36.5 4.0 0.9 100.0
Békés 52.5 39.6 7.9 – 100.0
Csongrád-Csanád 65.3 33.3 1.4 – 100.0
Total 62.3 30.9 5.5 1.3 100.0
The administrative classification of residence
Total
town 67.3 27.6 4.3 0.8 100.0
village 61.0 32.1 4.8 2.1 100.0
Budapest 62.8 30.5 5.1 1.5 100.0
Total 62.9 30.6 4.9 1.6 100.0
Male
town 67.1 27.3 4.6 1.1 100.0
village 61.5 31.5 4.8 2.2 100.0
Budapest 63.9 30.5 3.8 1.8 100.0
Total 63.5 30.4 4.3 1.8 100.0
Female
town 67.6 27.9 4.1 0.5 100.0
village 60.3 33.1 4.7 2.0 100.0
Budapest 61.7 30.6 6.6 1.2 100.0
Total 62.3 30.9 5.5 1.3 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011