9.4.1.14. People aged 15–29 by the utilization of their expertise in their current/last job*(2/2)

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Denomination The respondent Total
fully can use his/her expertise in his/her current/last work rahter can use his/her expertise in his/her current/last work rather can't use his/her expertise in his/her current/last work can't use his/her expertise in his/her current/last work
%
Age group
Total
15–19 32.0 20.1 14.7 33.2 100.0
20–24 45.9 21.1 13.5 19.5 100.0
25–29 56.9 20.0 10.2 12.8 100.0
Total 52.1 20.4 11.5 15.9 100.0
Male
15–19 34.5 22.3 16.3 26.8 100.0
20–24 47.0 20.4 13.9 18.8 100.0
25–29 57.0 20.3 9.4 13.3 100.0
Total 52.4 20.4 11.3 15.8 100.0
Female
15–19 27.5 16.0 11.9 44.6 100.0
20–24 44.7 22.0 13.0 20.2 100.0
25–29 56.9 19.7 11.0 12.3 100.0
Total 51.7 20.4 11.8 16.1 100.0
Educational attainment
Total
At most 8 grades of primary school 39.5 23.7 11.5 25.3 100.0
Vocational school, apprentice school 47.7 17.5 12.2 22.5 100.0
Secondary general school 40.1 27.4 18.2 14.3 100.0
Secondary vocational school 55.6 19.1 11.8 13.5 100.0
College, university, PhD, DLA 71.1 16.8 5.2 6.9 100.0
Total 52.1 20.4 11.5 15.9 100.0
Male
At most 8 grades of primary school 42.8 21.9 11.2 24.1 100.0
Vocational school, apprentice school 50.0 17.5 11.4 21.1 100.0
Secondary general school 38.7 29.6 16.6 15.1 100.0
Secondary vocational school 54.1 20.6 14.0 11.3 100.0
College, university, PhD, DLA 75.8 15.8 2.8 5.5 100.0
Total 52.4 20.4 11.3 15.8 100.0
Female
At most 8 grades of primary school 34.3 26.5 12.0 27.1 100.0
Vocational school, apprentice school 42.9 17.4 14.0 25.7 100.0
Secondary general school 41.2 25.8 19.4 13.7 100.0
Secondary vocational school 57.6 17.1 9.0 16.3 100.0
College, university, PhD, DLA 67.9 17.5 6.8 7.8 100.0
Total 51.7 20.4 11.8 16.1 100.0
County and region of residence
Total
Central Hungary 54.8 25.2 11.6 8.3 100.0
Budapest 54.0 26.6 12.7 6.7 100.0
Pest 56.1 23.2 9.9 10.8 100.0
Central Transdanubia 53.8 14.6 13.0 18.5 100.0
Fejér 54.4 18.8 11.1 15.7 100.0
Komárom-Esztergom 55.4 11.2 12.8 20.6 100.0
Veszprém 51.6 12.7 15.6 20.0 100.0
Western Transdanubia 48.1 17.3 15.4 19.2 100.0
Győr-Moson-Sopron 46.1 19.7 14.6 19.5 100.0
Vas 52.9 13.3 17.3 16.5 100.0
Zala 47.0 16.5 15.0 21.5 100.0
Southern Transdanubia 46.8 18.5 8.4 26.3 100.0
Baranya 54.6 20.7 6.0 18.7 100.0
Somogy 42.0 13.7 7.6 36.7 100.0
Tolna 41.0 21.4 13.1 24.5 100.0
Northern Hungary 50.7 23.0 10.1 16.3 100.0
Borsod-Abaúj-Zemplén 59.8 19.2 6.8 14.1 100.0
Heves 33.6 28.7 16.5 21.1 100.0
Nógrád 39.7 29.4 13.2 17.6 100.0
Northern Great Plain 51.3 15.5 12.7 20.5 100.0
Hajdú-Bihar 62.6 13.1 10.1 14.2 100.0
Jász-Nagykun-Szolnok 44.9 17.2 15.9 22.0 100.0
Szabolcs-Szatmár-Bereg 45.5 16.6 13.0 24.9 100.0
Southern Great Plain 53.6 22.7 8.8 14.9 100.0
Bács-Kiskun 52.2 21.1 9.3 17.4 100.0
Békés 51.0 28.0 10.0 11.0 100.0
Csongrád-Csanád 58.1 19.8 7.1 15.0 100.0
Total 52.1 20.4 11.5 15.9 100.0
Male
Central Hungary 54.6 24.6 12.2 8.6 100.0
Budapest 55.1 26.9 11.9 6.1 100.0
Pest 54.0 21.2 12.5 12.3 100.0
Central Transdanubia 54.7 15.1 12.9 17.2 100.0
Fejér 58.7 19.4 8.7 13.2 100.0
Komárom-Esztergom 54.7 12.7 17.0 15.6 100.0
Veszprém 50.1 12.2 14.3 23.4 100.0
Western Transdanubia 48.4 17.7 12.1 21.7 100.0
Győr-Moson-Sopron 44.2 19.2 10.3 26.2 100.0
Vas 53.9 13.5 18.5 14.1 100.0
Zala 50.9 19.3 8.9 21.0 100.0
Southern Transdanubia 48.0 20.7 9.2 22.1 100.0
Baranya 57.4 24.4 7.5 10.7 100.0
Somogy 41.7 14.8 6.6 36.9 100.0
Tolna 41.9 23.1 15.4 19.6 100.0
Northern Hungary 48.6 24.1 10.0 17.3 100.0
Borsod-Abaúj-Zemplén 54.6 22.0 7.0 16.4 100.0
Heves 34.4 28.4 15.7 21.5 100.0
Nógrád 42.6 27.2 14.7 15.4 100.0
Northern Great Plain 53.8 15.2 11.5 19.5 100.0
Hajdú-Bihar 66.1 12.1 8.2 13.7 100.0
Jász-Nagykun-Szolnok 44.3 18.4 14.5 22.8 100.0
Szabolcs-Szatmár-Bereg 48.8 15.9 12.6 22.7 100.0
Southern Great Plain 53.9 21.6 10.0 14.5 100.0
Bács-Kiskun 52.5 20.6 10.9 16.0 100.0
Békés 51.6 26.3 10.7 11.4 100.0
Csongrád-Csanád 58.1 18.5 8.2 15.3 100.0
Total 52.4 20.4 11.3 15.8 100.0
Female
Central Hungary 55.0 25.9 11.0 8.1 100.0
Budapest 52.9 26.2 13.5 7.3 100.0
Pest 58.4 25.4 7.0 9.3 100.0
Central Transdanubia 52.9 14.0 13.1 20.0 100.0
Fejér 49.7 18.0 13.8 18.5 100.0
Komárom-Esztergom 56.1 9.7 8.6 25.6 100.0
Veszprém 53.4 13.4 17.1 16.1 100.0
Western Transdanubia 47.8 16.8 18.8 16.7 100.0
Győr-Moson-Sopron 47.9 20.2 18.9 12.9 100.0
Vas 51.9 13.0 16.0 19.1 100.0
Zala 42.9 13.6 21.5 22.1 100.0
Southern Transdanubia 45.3 15.7 7.3 31.6 100.0
Baranya 51.2 16.3 4.3 28.2 100.0
Somogy 42.4 12.4 8.8 36.4 100.0
Tolna 39.8 19.2 10.2 30.7 100.0
Northern Hungary 53.5 21.4 10.2 14.9 100.0
Borsod-Abaúj-Zemplén 67.9 14.9 6.5 10.6 100.0
Heves 32.8 29.1 17.4 20.7 100.0
Nógrád 35.7 32.5 11.0 20.7 100.0
Northern Great Plain 48.1 16.0 14.3 21.7 100.0
Hajdú-Bihar 57.9 14.5 12.6 15.0 100.0
Jász-Nagykun-Szolnok 45.7 15.7 17.8 20.9 100.0
Szabolcs-Szatmár-Bereg 41.3 17.4 13.5 27.8 100.0
Southern Great Plain 53.2 23.8 7.6 15.3 100.0
Bács-Kiskun 51.9 21.6 7.6 18.9 100.0
Békés 50.2 30.0 9.2 10.6 100.0
Csongrád-Csanád 58.1 21.3 6.0 14.6 100.0
Total 51.7 20.4 11.8 16.1 100.0
The administrative classification of residence
Total
town 54.0 26.6 12.7 6.7 100.0
village 47.6 17.5 13.2 21.7 100.0
Budapest 54.8 20.4 9.8 15.0 100.0
Total 52.1 20.4 11.5 15.9 100.0
Male
town 55.1 26.9 11.9 6.1 100.0
village 47.0 18.3 13.2 21.5 100.0
Budapest 56.0 20.0 9.6 14.5 100.0
Total 52.4 20.4 11.3 15.8 100.0
Female
town 52.9 26.2 13.5 7.3 100.0
village 48.4 16.5 13.3 21.8 100.0
Budapest 53.6 20.9 10.0 15.5 100.0
Total 51.7 20.4 11.8 16.1 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011