9.4.2.11. People aged 15–29 by the length of time between completing their studies and finding a job*(2/2)

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Denomination The respondent Total
had already worked before the end of his/her education found a job in 0–1 month found a job in 2–3 months found a job in 4–6 months found a job in 7–12 months found a job in more than 12 months
%
Age group
Total
15–19 2.0 21.6 38.5 15.4 9.4 13.2 100.0
20–24 6.8 27.2 28.1 16.9 7.7 13.2 100.0
25–29 9.6 27.9 29.6 15.7 6.0 11.2 100.0
Total 8.4 27.4 29.4 16.1 6.7 12.0 100.0
Male
15–19 3.1 27.0 34.9 11.6 11.7 11.8 100.0
20–24 6.1 27.0 28.5 16.7 6.9 14.8 100.0
25–29 9.7 26.3 31.5 15.0 6.4 11.2 100.0
Total 8.2 26.6 30.6 15.4 6.8 12.5 100.0
Female
15–19 – 10.5 45.7 23.1 4.7 16.0 100.0
20–24 7.6 27.4 27.7 17.2 8.7 11.5 100.0
25–29 9.6 29.7 27.5 16.5 5.5 11.3 100.0
Total 8.7 28.4 28.0 16.9 6.6 11.5 100.0
Educational attainment
Total
At most 8 grades of primary school 3.2 13.5 25.5 19.3 9.9 28.6 100.0
Vocational school, apprentice school 5.5 26.3 30.1 16.9 6.3 14.9 100.0
Secondary general school 9.3 32.7 27.8 15.5 6.9 7.7 100.0
Secondary vocational school 7.4 30.3 32.4 16.8 5.6 7.5 100.0
College, university, PhD, DLA 15.8 31.8 29.5 12.5 5.7 4.7 100.0
Total 8.4 27.4 29.4 16.1 6.7 12.0 100.0
Male
At most 8 grades of primary school 2.0 15.4 28.4 18.0 9.3 26.9 100.0
Vocational school, apprentice school 6.4 26.4 31.3 16.1 6.1 13.6 100.0
Secondary general school 9.1 30.0 27.7 16.8 9.3 7.1 100.0
Secondary vocational school 8.0 29.6 34.8 15.0 5.1 7.6 100.0
College, university, PhD, DLA 18.0 32.6 27.7 10.7 5.7 5.4 100.0
Total 8.2 26.6 30.6 15.4 6.8 12.5 100.0
Female
At most 8 grades of primary school 5.2 10.4 20.8 21.3 11.0 31.3 100.0
Vocational school, apprentice school 3.5 26.1 27.3 18.5 6.7 17.8 100.0
Secondary general school 9.3 34.6 27.9 14.7 5.3 8.2 100.0
Secondary vocational school 6.7 31.3 29.5 19.1 6.1 7.2 100.0
College, university, PhD, DLA 14.4 31.3 30.8 13.7 5.6 4.3 100.0
Total 8.7 28.4 28.0 16.9 6.6 11.5 100.0
Economic activity
Total
employed 8.7 28.8 30.2 15.6 6.4 10.2 100.0
unemployed 3.1 16.1 24.2 22.2 9.4 25.0 100.0
inactive 9.1 22.8 25.8 16.2 7.5 18.6 100.0
Total 8.4 27.4 29.4 16.1 6.7 12.0 100.0
Male
employed 9.0 27.9 31.3 14.6 6.6 10.6 100.0
unemployed 0.8 15.6 26.9 22.4 8.9 25.4 100.0
inactive 1.8 14.1 20.6 21.1 8.1 34.2 100.0
Total 8.2 26.6 30.6 15.4 6.8 12.5 100.0
Female
employed 8.3 30.0 28.8 17.0 6.1 9.7 100.0
unemployed 6.8 17.0 20.1 21.8 10.0 24.3 100.0
inactive 10.8 24.8 26.9 15.1 7.3 15.1 100.0
Total 8.7 28.4 28.0 16.9 6.6 11.5 100.0
County and region of residence
Total
Central Hungary 13.4 36.4 31.0 12.1 3.6 3.4 100.0
Budapest 16.3 34.6 27.2 14.6 4.0 3.2 100.0
Pest 9.2 39.1 36.7 8.3 3.0 3.8 100.0
Central Transdanubia 5.1 32.4 35.1 12.0 7.0 8.5 100.0
Fejér 3.1 34.4 43.9 9.6 4.2 4.8 100.0
Komárom-Esztergom 5.2 24.6 35.9 14.6 10.5 9.2 100.0
Veszprém 7.3 37.4 24.0 12.3 7.0 12.0 100.0
Western Transdanubia 13.1 31.3 30.6 12.4 4.4 8.2 100.0
Győr-Moson-Sopron 18.7 27.9 27.6 10.6 3.4 11.8 100.0
Vas 7.5 40.9 33.8 11.1 3.3 3.4 100.0
Zala 8.1 27.8 32.9 17.4 7.5 6.4 100.0
Southern Transdanubia 4.4 21.3 28.3 21.4 6.4 18.3 100.0
Baranya 7.9 28.6 26.8 18.2 3.8 14.6 100.0
Somogy 1.7 14.4 20.4 26.5 10.0 27.0 100.0
Tolna 2.3 18.6 41.1 19.6 5.7 12.7 100.0
Northern Hungary 5.7 18.7 29.0 20.6 7.2 18.8 100.0
Borsod-Abaúj-Zemplén 6.4 22.7 25.2 23.0 7.5 15.3 100.0
Heves 2.7 13.9 35.0 20.0 7.1 21.4 100.0
Nógrád 7.6 9.8 35.5 11.3 6.0 29.7 100.0
Northern Great Plain 4.6 19.6 23.5 20.3 9.6 22.4 100.0
Hajdú-Bihar 6.6 27.8 21.2 19.8 8.1 16.5 100.0
Jász-Nagykun-Szolnok 5.5 21.2 33.3 18.4 8.5 13.1 100.0
Szabolcs-Szatmár-Bereg 2.3 11.9 19.2 21.8 11.6 33.1 100.0
Southern Great Plain 6.5 21.4 27.8 19.1 11.3 13.9 100.0
Bács-Kiskun 7.8 24.4 22.8 19.7 8.3 16.9 100.0
Békés 4.4 21.0 34.2 15.0 13.3 12.1 100.0
Csongrád-Csanád 6.6 17.4 28.9 22.2 13.8 11.1 100.0
Total 8.4 27.4 29.4 16.1 6.7 12.0 100.0
Male
Central Hungary 13.1 33.0 33.5 12.0 4.6 3.8 100.0
Budapest 15.8 30.3 30.4 13.8 6.0 3.7 100.0
Pest 9.2 36.7 37.8 9.5 2.7 4.0 100.0
Central Transdanubia 5.1 35.0 34.9 9.7 6.2 9.0 100.0
Fejér 3.6 36.2 42.0 9.8 3.7 4.6 100.0
Komárom-Esztergom 5.0 26.0 31.6 12.6 9.9 15.0 100.0
Veszprém 7.0 41.9 29.5 7.1 5.8 8.7 100.0
Western Transdanubia 13.6 26.4 34.5 13.4 4.2 7.9 100.0
Győr-Moson-Sopron 18.8 20.1 33.4 11.7 3.1 12.9 100.0
Vas 5.9 40.1 39.7 12.1 1.0 1.2 100.0
Zala 12.2 23.3 30.6 18.2 9.7 6.1 100.0
Southern Transdanubia 3.5 24.9 27.3 20.2 6.8 17.3 100.0
Baranya 4.9 31.5 24.3 20.8 3.0 15.5 100.0
Somogy 2.3 19.2 25.0 19.5 10.9 23.1 100.0
Tolna 2.7 21.9 35.1 20.0 7.5 12.8 100.0
Northern Hungary 5.7 18.3 30.9 18.9 6.7 19.5 100.0
Borsod-Abaúj-Zemplén 6.3 22.7 27.7 20.4 7.5 15.5 100.0
Heves 4.0 9.1 40.1 21.6 4.3 20.9 100.0
Nógrád 5.5 12.2 31.9 8.5 6.6 35.4 100.0
Northern Great Plain 4.4 21.7 23.7 17.9 9.6 22.7 100.0
Hajdú-Bihar 7.9 31.1 18.4 16.8 9.2 16.6 100.0
Jász-Nagykun-Szolnok 3.1 18.4 39.5 16.8 10.0 12.2 100.0
Szabolcs-Szatmár-Bereg 2.3 15.6 18.0 19.6 9.6 35.0 100.0
Southern Great Plain 7.3 21.4 28.7 19.1 10.5 13.1 100.0
Bács-Kiskun 9.4 24.7 25.1 18.2 8.0 14.6 100.0
Békés 6.0 17.9 36.0 19.3 9.8 11.0 100.0
Csongrád-Csanád 5.3 19.8 26.6 20.4 15.1 12.9 100.0
Total 8.2 26.6 30.6 15.4 6.8 12.5 100.0
Female
Central Hungary 13.8 40.0 28.5 12.1 2.5 3.0 100.0
Budapest 16.8 38.8 24.1 15.4 2.1 2.7 100.0
Pest 9.1 41.8 35.4 6.9 3.3 3.6 100.0
Central Transdanubia 5.0 29.4 35.2 14.5 7.9 7.9 100.0
Fejér 2.5 32.4 46.1 9.5 4.7 5.0 100.0
Komárom-Esztergom 5.3 23.3 40.2 16.5 11.2 3.5 100.0
Veszprém 7.7 32.4 17.9 18.1 8.3 15.7 100.0
Western Transdanubia 12.7 36.3 26.7 11.3 4.6 8.5 100.0
Győr-Moson-Sopron 18.7 35.3 22.2 9.5 3.7 10.7 100.0
Vas 9.2 41.7 27.5 10.0 5.7 5.8 100.0
Zala 3.7 32.6 35.3 16.5 5.3 6.7 100.0
Southern Transdanubia 5.6 16.6 29.5 22.9 5.8 19.6 100.0
Baranya 11.8 24.9 30.0 15.0 4.8 13.4 100.0
Somogy 0.9 8.4 14.7 35.2 8.8 32.0 100.0
Tolna 1.8 14.1 49.4 18.9 3.3 12.5 100.0
Northern Hungary 5.6 19.4 26.4 23.0 7.8 17.8 100.0
Borsod-Abaúj-Zemplén 6.5 22.7 21.3 27.1 7.4 15.0 100.0
Heves 1.2 18.9 29.6 18.2 10.0 22.0 100.0
Nógrád 10.8 6.3 40.9 15.7 5.2 21.2 100.0
Northern Great Plain 4.8 16.7 23.3 23.5 9.8 22.0 100.0
Hajdú-Bihar 4.6 22.8 25.6 24.3 6.5 16.2 100.0
Jász-Nagykun-Szolnok 8.9 25.1 24.7 20.5 6.3 14.4 100.0
Szabolcs-Szatmár-Bereg 2.4 7.2 20.8 24.7 14.2 30.8 100.0
Southern Great Plain 5.6 21.5 26.8 19.0 12.3 14.8 100.0
Bács-Kiskun 5.9 24.1 20.1 21.5 8.7 19.7 100.0
Békés 2.6 24.6 32.1 10.0 17.4 13.4 100.0
Csongrád-Csanád 8.0 15.1 31.2 24.1 12.5 9.2 100.0
Total 8.7 28.4 28.0 16.9 6.6 11.5 100.0
The administrative classification of residence
Total
town 16.3 34.6 27.2 14.6 4.0 3.2 100.0
village 4.4 22.4 31.7 16.7 7.5 17.4 100.0
Budapest 8.7 28.7 28.4 16.2 7.0 11.0 100.0
Total 8.4 27.4 29.4 16.1 6.7 12.0 100.0
Male
town 15.8 30.3 30.4 13.8 6.0 3.7 100.0
village 4.7 22.9 32.5 15.2 7.1 17.6 100.0
Budapest 8.5 28.4 29.0 16.1 6.8 11.1 100.0
Total 8.2 26.6 30.6 15.4 6.8 12.5 100.0
Female
town 16.8 38.8 24.1 15.4 2.1 2.7 100.0
village 3.9 21.8 30.5 18.7 8.1 17.1 100.0
Budapest 8.9 28.9 27.7 16.2 7.2 10.9 100.0
Total 8.7 28.4 28.0 16.9 6.6 11.5 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011