9.4.1.12. People aged 15–29 by the reason for chosing their current/last job*(2/2)

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Denomination The respondent chose his/her current/last job, because Total
that was the only one opportunity he/she could work in his/her qualification he/she has already had work experience at that workplace he/she wants to work by that employer the work was interesting the salary and income was attractive the workplace was near to his/her home another reason
%
Age group
Total
15–19 61.0 11.3 3.1 10.0 8.6 3.1 1.3 1.4 100.0
20–24 42.4 18.6 4.0 10.4 10.6 5.4 7.6 1.0 100.0
25–29 32.3 22.2 3.8 17.0 9.7 7.7 5.8 1.4 100.0
Total 37.0 20.5 3.8 14.4 10.0 6.7 6.3 1.3 100.0
Male
15–19 54.7 11.9 2.9 13.5 10.9 3.7 1.0 1.4 100.0
20–24 44.5 16.6 4.7 11.6 9.1 5.4 6.7 1.5 100.0
25–29 32.0 21.5 4.5 16.9 9.7 8.8 5.2 1.4 100.0
Total 37.5 19.3 4.5 14.9 9.5 7.3 5.6 1.4 100.0
Female
15–19 72.3 10.4 3.4 3.8 4.5 2.1 2.0 1.5 100.0
20–24 40.0 20.9 3.2 9.0 12.3 5.4 8.6 0.6 100.0
25–29 32.6 23.0 3.1 17.2 9.8 6.4 6.5 1.5 100.0
Total 36.4 21.9 3.1 13.9 10.5 6.0 7.1 1.2 100.0
Educational attainment
Total
At most 8 grades of primary school 70.5 3.5 2.5 6.5 4.0 4.3 7.3 1.3 100.0
Vocational school, apprentice school 41.8 22.6 3.1 10.7 4.6 8.3 7.7 1.2 100.0
Secondary general school 36.0 10.0 5.0 15.3 18.0 6.6 7.5 1.5 100.0
Secondary vocational school 30.1 24.8 3.6 17.1 9.9 6.9 6.4 1.4 100.0
College, university, PhD, DLA 16.2 34.7 4.9 20.1 13.2 6.7 3.1 1.1 100.0
Total 37.0 20.5 3.8 14.4 10.0 6.7 6.3 1.3 100.0
Male
At most 8 grades of primary school 70.8 3.0 2.6 7.4 3.9 5.3 5.7 1.3 100.0
Vocational school, apprentice school 38.1 23.3 3.7 11.9 4.8 9.2 7.4 1.6 100.0
Secondary general school 35.9 9.7 7.0 11.7 21.5 5.7 6.6 1.9 100.0
Secondary vocational school 28.4 23.3 4.2 19.1 10.1 7.9 5.7 1.3 100.0
College, university, PhD, DLA 14.3 33.0 6.0 24.4 12.7 7.2 1.4 1.0 100.0
Total 37.5 19.3 4.5 14.9 9.5 7.3 5.6 1.4 100.0
Female
At most 8 grades of primary school 70.1 4.4 2.2 5.1 4.2 2.6 9.8 1.5 100.0
Vocational school, apprentice school 49.7 21.1 1.7 8.1 4.1 6.6 8.3 0.5 100.0
Secondary general school 36.0 10.2 3.6 17.9 15.6 7.3 8.2 1.2 100.0
Secondary vocational school 32.1 26.7 2.8 14.6 9.6 5.6 7.3 1.4 100.0
College, university, PhD, DLA 17.5 35.8 4.2 17.3 13.5 6.4 4.2 1.1 100.0
Total 36.4 21.9 3.1 13.9 10.5 6.0 7.1 1.2 100.0
County and region of residence
Total
Central Hungary 28.9 22.8 3.9 17.9 14.5 4.7 6.4 0.8 100.0
Budapest 31.8 21.3 3.8 15.4 17.0 5.1 4.8 0.8 100.0
Pest 24.5 25.1 3.9 21.9 10.8 4.1 8.8 0.8 100.0
Central Transdanubia 33.7 17.8 2.8 16.4 8.4 9.9 8.8 2.3 100.0
Fejér 28.8 16.3 3.1 25.3 7.1 9.4 8.5 1.6 100.0
Komárom-Esztergom 35.6 16.9 2.4 13.7 10.0 6.8 11.9 2.7 100.0
Veszprém 37.7 20.5 2.8 8.2 8.4 13.6 6.1 2.8 100.0
Western Transdanubia 26.0 21.1 3.2 15.3 11.3 16.2 5.0 2.0 100.0
Győr-Moson-Sopron 24.7 15.5 3.8 14.5 14.6 22.8 2.1 1.9 100.0
Vas 24.4 30.4 1.3 14.4 5.7 11.5 8.4 4.0 100.0
Zala 30.2 22.7 4.1 17.9 10.5 7.4 7.2 – 100.0
Southern Transdanubia 43.7 19.3 4.4 10.8 9.4 4.9 6.2 1.3 100.0
Baranya 46.6 22.1 3.3 10.2 8.6 5.5 2.8 1.0 100.0
Somogy 44.4 19.6 3.2 13.6 6.9 3.5 6.8 1.9 100.0
Tolna 37.9 14.7 7.9 8.2 13.9 6.0 10.7 0.8 100.0
Northern Hungary 48.6 17.6 2.8 12.7 7.5 5.0 4.7 1.1 100.0
Borsod-Abaúj-Zemplén 50.1 19.1 3.0 11.2 5.9 5.5 4.2 0.9 100.0
Heves 47.2 16.7 2.3 12.4 12.5 3.3 3.4 2.1 100.0
Nógrád 45.0 13.0 2.5 18.8 5.8 5.6 9.0 0.3 100.0
Northern Great Plain 46.3 19.4 3.6 12.1 7.2 4.3 5.8 1.2 100.0
Hajdú-Bihar 38.5 23.4 3.1 17.0 7.9 4.1 4.5 1.6 100.0
Jász-Nagykun-Szolnok 45.4 20.4 3.5 11.1 10.4 3.5 4.4 1.3 100.0
Szabolcs-Szatmár-Bereg 53.7 15.3 4.2 8.5 4.4 5.0 7.9 0.9 100.0
Southern Great Plain 40.0 22.3 6.0 11.1 6.6 6.0 6.9 1.1 100.0
Bács-Kiskun 42.7 17.7 5.7 14.2 6.4 6.2 5.8 1.3 100.0
Békés 39.9 15.9 7.2 9.7 5.6 6.7 13.4 1.6 100.0
Csongrád-Csanád 36.1 34.9 5.5 7.9 7.8 5.2 2.1 0.4 100.0
Total 37.0 20.5 3.8 14.4 10.0 6.7 6.3 1.3 100.0
Male
Central Hungary 31.0 20.2 5.0 17.2 14.9 5.0 6.0 0.7 100.0
Budapest 33.9 19.1 4.8 13.7 17.9 5.5 4.7 0.5 100.0
Pest 26.9 21.8 5.2 22.2 10.6 4.4 8.0 1.0 100.0
Central Transdanubia 31.2 13.9 3.2 19.0 9.2 11.3 8.2 4.1 100.0
Fejér 23.4 13.8 3.4 29.1 10.6 8.3 8.5 2.9 100.0
Komárom-Esztergom 35.0 14.5 3.8 13.6 11.9 6.9 9.8 4.6 100.0
Veszprém 37.1 13.4 2.4 11.7 5.2 18.7 6.4 5.2 100.0
Western Transdanubia 24.6 24.1 4.1 14.9 8.9 15.7 5.7 2.1 100.0
Győr-Moson-Sopron 25.1 18.9 4.4 13.9 8.8 23.8 2.6 2.6 100.0
Vas 24.0 32.8 1.2 16.5 6.2 9.6 6.5 3.1 100.0
Zala 24.2 25.3 6.5 15.0 11.8 6.1 11.0 – 100.0
Southern Transdanubia 46.7 14.8 6.0 12.6 8.2 5.8 5.0 0.9 100.0
Baranya 51.9 14.8 2.7 12.6 9.8 5.8 2.0 0.5 100.0
Somogy 46.6 13.2 5.7 14.6 6.7 4.7 6.4 2.1 100.0
Tolna 38.7 16.9 11.4 10.1 7.9 7.4 7.6 – 100.0
Northern Hungary 49.8 18.2 3.1 11.4 5.5 7.0 4.1 0.9 100.0
Borsod-Abaúj-Zemplén 50.6 19.0 2.8 9.3 5.9 7.8 3.4 1.1 100.0
Heves 46.3 21.4 4.5 13.4 4.1 4.9 4.7 0.7 100.0
Nógrád 51.1 9.9 2.7 17.7 5.3 6.2 6.5 0.5 100.0
Northern Great Plain 44.3 20.5 4.4 13.9 6.4 5.0 4.4 1.1 100.0
Hajdú-Bihar 39.1 23.3 3.4 19.5 6.1 2.8 4.4 1.5 100.0
Jász-Nagykun-Szolnok 42.1 20.6 3.7 11.8 11.4 4.9 4.0 1.3 100.0
Szabolcs-Szatmár-Bereg 50.5 17.8 5.7 10.3 3.4 7.1 4.6 0.6 100.0
Southern Great Plain 38.8 21.6 5.2 12.7 8.2 6.7 5.6 1.3 100.0
Bács-Kiskun 40.8 17.5 6.7 11.9 10.3 6.0 6.2 0.6 100.0
Békés 38.2 17.6 4.3 13.9 5.6 8.4 9.2 2.8 100.0
Csongrád-Csanád 36.7 31.3 4.1 12.6 7.6 5.9 1.1 0.8 100.0
Total 37.5 19.3 4.5 14.9 9.5 7.3 5.6 1.4 100.0
Female
Central Hungary 26.7 25.5 2.8 18.7 14.2 4.4 6.8 1.0 100.0
Budapest 29.7 23.5 2.9 17.0 16.1 4.8 5.0 1.1 100.0
Pest 21.9 28.8 2.5 21.5 11.0 3.8 9.7 0.7 100.0
Central Transdanubia 36.4 22.1 2.3 13.5 7.4 8.5 9.5 0.3 100.0
Fejér 34.8 19.0 2.7 21.0 3.1 10.5 8.6 0.2 100.0
Komárom-Esztergom 36.2 19.4 1.1 13.7 8.1 6.8 14.0 0.8 100.0
Veszprém 38.5 28.6 3.2 4.1 12.1 7.7 5.8 – 100.0
Western Transdanubia 27.4 18.0 2.3 15.7 13.8 16.7 4.2 1.9 100.0
Győr-Moson-Sopron 24.4 12.2 3.2 15.1 20.4 21.9 1.6 1.2 100.0
Vas 24.9 27.8 1.4 12.1 5.1 13.5 10.4 4.9 100.0
Zala 36.6 20.1 1.4 21.0 9.0 8.8 3.1 – 100.0
Southern Transdanubia 39.9 25.0 2.5 8.6 10.9 3.8 7.7 1.7 100.0
Baranya 40.3 30.8 3.9 7.4 7.3 5.1 3.7 1.6 100.0
Somogy 41.7 27.6 – 12.3 7.3 2.1 7.4 1.8 100.0
Tolna 36.9 11.9 3.4 5.7 21.6 4.2 14.5 1.9 100.0
Northern Hungary 47.0 16.9 2.3 14.4 10.2 2.3 5.6 1.3 100.0
Borsod-Abaúj-Zemplén 49.3 19.1 3.4 14.2 5.9 1.9 5.5 0.6 100.0
Heves 48.1 11.7 – 11.4 21.5 1.6 2.1 3.6 100.0
Nógrád 36.4 17.4 2.3 20.3 6.4 4.8 12.4 – 100.0
Northern Great Plain 48.9 18.0 2.7 9.8 8.2 3.3 7.7 1.4 100.0
Hajdú-Bihar 37.8 23.5 2.6 13.6 10.4 5.8 4.6 1.7 100.0
Jász-Nagykun-Szolnok 49.8 20.0 3.2 10.2 9.1 1.5 5.0 1.2 100.0
Szabolcs-Szatmár-Bereg 57.7 12.2 2.4 6.3 5.7 2.4 12.0 1.3 100.0
Southern Great Plain 41.2 23.0 6.9 9.4 4.9 5.4 8.3 0.9 100.0
Bács-Kiskun 44.8 18.0 4.5 16.7 2.2 6.4 5.4 2.0 100.0
Békés 41.8 14.0 10.6 4.9 5.6 4.6 18.2 0.3 100.0
Csongrád-Csanád 35.6 38.7 7.0 2.9 8.1 4.6 3.2 – 100.0
Total 36.4 21.9 3.1 13.9 10.5 6.0 7.1 1.2 100.0
The administrative classification of residence
Total
town 31.8 21.3 3.8 15.4 17.0 5.1 4.8 0.8 100.0
village 43.8 18.5 2.5 11.4 7.1 6.3 8.6 1.7 100.0
Budapest 33.7 21.8 4.8 16.4 9.6 7.5 5.1 1.2 100.0
Total 37.0 20.5 3.8 14.4 10.0 6.7 6.3 1.3 100.0
Male
town 33.9 19.1 4.8 13.7 17.9 5.5 4.7 0.5 100.0
village 44.4 16.3 3.2 13.3 6.5 7.5 7.1 1.8 100.0
Budapest 33.0 22.0 5.4 16.6 9.2 7.9 4.6 1.4 100.0
Total 37.5 19.3 4.5 14.9 9.5 7.3 5.6 1.4 100.0
Female
town 29.7 23.5 2.9 17.0 16.1 4.8 5.0 1.1 100.0
village 43.0 21.5 1.6 9.0 7.9 4.8 10.5 1.6 100.0
Budapest 34.4 21.5 4.2 16.1 10.1 7.2 5.6 0.9 100.0
Total 36.4 21.9 3.1 13.9 10.5 6.0 7.1 1.2 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011