9.4.1.11. People aged 15–29 by the way of finding their current/last job*(2/2)

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Denomination The respondet found his/her current/last job Total
by parent's, relative's, friend's recommendation through the Jobs Center through private employment agency through his/her educational institute by contacting the employer personally or at a job fair by advertising or via the Internet the respondent started his/her current/last job as self-employed the rspondent found his/her current/last job in another way
%
Age group
Total
15–19 58.9 18.4 – 4.5 1.7 13.5 1.3 1.8 100.0
20–24 56.8 10.5 1.7 6.8 3.5 17.3 1.8 1.7 100.0
25–29 51.4 8.3 2.1 6.9 4.0 22.7 2.8 1.9 100.0
Total 53.6 9.5 1.8 6.7 3.7 20.4 2.4 1.8 100.0
Male
15–19 61.1 18.2 – 3.2 2.6 11.2 1.3 2.4 100.0
20–24 56.1 10.7 1.7 6.8 3.5 17.0 2.0 2.2 100.0
25–29 53.1 7.8 2.6 6.3 3.9 20.8 3.3 2.2 100.0
Total 54.5 9.3 2.2 6.3 3.7 19.0 2.8 2.2 100.0
Female
15–19 54.9 18.7 – 6.9 – 17.4 1.4 0.7 100.0
20–24 57.6 10.3 1.6 6.8 3.4 17.7 1.5 1.1 100.0
25–29 49.5 8.9 1.5 7.5 4.1 24.8 2.2 1.5 100.0
Total 52.5 9.7 1.5 7.2 3.8 22.0 1.9 1.3 100.0
Educational attainment
Total
At most 8 grades of primary school 53.9 24.7 1.0 0.3 3.2 12.2 1.8 3.0 100.0
Vocational school, apprentice school 58.8 10.9 1.4 3.7 3.9 15.9 3.1 2.3 100.0
Secondary general school 58.5 6.4 2.7 5.0 2.5 21.5 1.9 1.5 100.0
Secondary vocational school 55.8 6.3 2.2 7.5 4.3 20.1 2.8 1.2 100.0
College, university, PhD, DLA 42.2 3.0 1.8 14.8 4.5 30.3 2.1 1.4 100.0
Total 53.6 9.5 1.8 6.7 3.7 20.4 2.4 1.8 100.0
Male
At most 8 grades of primary school 56.9 22.6 0.7 0.3 2.0 12.3 1.6 3.5 100.0
Vocational school, apprentice school 57.8 9.4 1.6 3.6 4.3 16.7 3.8 2.7 100.0
Secondary general school 57.9 8.5 4.4 2.6 2.3 19.3 3.8 1.3 100.0
Secondary vocational school 55.2 4.4 2.5 8.7 4.7 20.5 2.7 1.3 100.0
College, university, PhD, DLA 42.8 2.4 2.3 16.9 4.3 27.7 1.6 1.9 100.0
Total 54.5 9.3 2.2 6.3 3.7 19.0 2.8 2.2 100.0
Female
At most 8 grades of primary school 49.2 28.0 1.4 0.4 4.9 12.0 2.1 2.1 100.0
Vocational school, apprentice school 60.9 13.9 1.1 4.1 3.0 14.0 1.6 1.5 100.0
Secondary general school 59.0 5.0 1.6 6.7 2.5 23.1 0.5 1.6 100.0
Secondary vocational school 56.4 8.7 1.7 6.0 3.7 19.6 2.9 0.9 100.0
College, university, PhD, DLA 41.8 3.3 1.4 13.5 4.6 32.0 2.4 1.0 100.0
Total 52.5 9.7 1.5 7.2 3.8 22.0 1.9 1.3 100.0
County and region of residence
Total
Central Hungary 50.1 0.9 3.0 7.7 4.7 31.4 1.6 0.6 100.0
Budapest 46.2 1.5 4.6 7.8 5.4 32.2 1.8 0.5 100.0
Pest 56.0 – 0.7 7.6 3.5 30.1 1.4 0.7 100.0
Central Transdanubia 65.5 4.9 0.9 4.4 2.5 18.8 2.4 0.5 100.0
Fejér 67.3 3.8 – 4.8 1.4 18.9 2.3 1.4 100.0
Komárom-Esztergom 66.6 6.7 0.8 5.7 5.0 13.7 1.5 – 100.0
Veszprém 62.2 4.4 2.2 2.7 1.5 23.7 3.4 – 100.0
Western Transdanubia 57.7 4.0 2.6 7.5 2.4 21.6 2.1 2.1 100.0
Győr-Moson-Sopron 61.5 2.0 1.4 8.2 1.6 20.8 1.5 3.1 100.0
Vas 62.4 4.6 0.8 6.8 1.8 19.2 3.8 0.7 100.0
Zala 44.6 7.6 7.0 6.7 4.7 25.9 1.7 1.6 100.0
Southern Transdanubia 56.3 15.5 0.4 6.2 6.6 8.9 2.8 3.3 100.0
Baranya 56.5 17.2 – 8.3 3.9 11.5 2.2 0.4 100.0
Somogy 50.3 17.8 1.0 6.2 8.9 6.6 4.0 5.2 100.0
Tolna 64.1 9.8 – 3.0 7.8 7.7 2.3 5.4 100.0
Northern Hungary 51.2 19.4 2.6 7.1 3.1 13.0 1.2 2.4 100.0
Borsod-Abaúj-Zemplén 45.7 20.9 4.1 7.3 4.3 13.7 0.9 3.2 100.0
Heves 63.5 14.4 0.3 4.4 2.0 12.4 1.9 1.0 100.0
Nógrád 54.2 21.3 – 10.5 – 11.2 1.5 1.5 100.0
Northern Great Plain 48.4 18.5 1.0 5.5 3.3 15.0 4.8 3.4 100.0
Hajdú-Bihar 53.0 8.2 0.8 8.5 3.6 17.4 3.8 4.7 100.0
Jász-Nagykun-Szolnok 46.7 21.4 1.4 6.5 3.4 18.5 1.1 0.9 100.0
Szabolcs-Szatmár-Bereg 45.3 25.7 1.0 2.3 3.1 10.9 8.0 3.7 100.0
Southern Great Plain 54.1 12.7 0.7 7.6 3.1 18.0 1.9 1.9 100.0
Bács-Kiskun 57.8 13.3 0.7 10.5 4.9 9.6 2.4 0.8 100.0
Békés 49.1 16.6 1.1 5.0 0.3 22.1 1.2 4.6 100.0
Csongrád-Csanád 53.6 8.1 0.4 6.0 3.1 26.0 1.8 1.0 100.0
Total 53.6 9.5 1.8 6.7 3.7 20.4 2.4 1.8 100.0
Male
Central Hungary 51.9 1.0 3.1 6.8 4.8 30.1 1.6 0.6 100.0
Budapest 45.5 1.7 4.9 8.1 6.4 31.5 1.4 0.4 100.0
Pest 61.2 – 0.5 4.9 2.4 28.1 1.9 0.9 100.0
Central Transdanubia 64.8 4.8 0.2 4.5 2.5 19.2 3.0 1.1 100.0
Fejér 67.0 5.6 – 5.3 0.6 16.6 2.2 2.7 100.0
Komárom-Esztergom 61.2 4.8 0.5 6.3 7.2 17.0 3.0 – 100.0
Veszprém 65.5 3.7 – 1.8 0.6 24.4 3.9 – 100.0
Western Transdanubia 52.7 3.3 3.7 10.8 2.3 20.7 3.2 3.3 100.0
Győr-Moson-Sopron 51.1 2.2 2.7 12.9 2.1 21.6 2.3 5.1 100.0
Vas 58.8 3.7 1.6 7.9 2.3 20.8 4.8 – 100.0
Zala 49.2 5.2 7.9 9.6 2.6 19.0 3.3 3.1 100.0
Southern Transdanubia 58.9 16.9 0.3 7.2 6.5 6.0 2.5 1.7 100.0
Baranya 59.1 20.9 – 7.9 1.7 7.7 2.3 0.4 100.0
Somogy 52.1 16.1 0.7 9.0 9.8 5.5 2.7 4.0 100.0
Tolna 67.8 11.9 – 3.6 9.6 4.0 2.5 0.6 100.0
Northern Hungary 51.1 20.1 3.8 5.1 2.6 13.2 0.9 3.3 100.0
Borsod-Abaúj-Zemplén 45.9 20.7 6.0 4.5 3.4 14.4 0.5 4.6 100.0
Heves 64.5 16.3 – 4.4 2.0 12.2 0.7 – 100.0
Nógrád 54.5 22.9 – 8.3 – 9.1 2.6 2.5 100.0
Northern Great Plain 49.8 15.9 1.5 4.1 4.0 14.1 5.9 4.8 100.0
Hajdú-Bihar 55.3 6.3 0.5 5.9 4.6 16.2 4.3 6.9 100.0
Jász-Nagykun-Szolnok 49.7 19.7 2.5 3.6 2.7 19.0 2.0 0.9 100.0
Szabolcs-Szatmár-Bereg 44.8 22.1 1.7 2.9 4.3 9.0 9.9 5.3 100.0
Southern Great Plain 59.1 10.7 1.2 6.9 2.5 15.4 2.6 1.6 100.0
Bács-Kiskun 63.2 8.2 1.4 9.3 5.0 9.5 2.7 0.7 100.0
Békés 54.9 15.5 2.1 5.9 0.6 15.6 1.4 4.2 100.0
Csongrád-Csanád 57.5 9.6 – 4.4 1.0 23.7 3.5 0.3 100.0
Total 54.5 9.3 2.2 6.3 3.7 19.0 2.8 2.2 100.0
Female
Central Hungary 48.2 0.8 3.0 8.7 4.5 32.6 1.7 0.5 100.0
Budapest 46.9 1.4 4.3 7.5 4.5 32.9 2.2 0.5 100.0
Pest 50.3 – 0.8 10.6 4.7 32.2 0.8 0.6 100.0
Central Transdanubia 66.2 5.0 1.8 4.4 2.5 18.4 1.8 – 100.0
Fejér 67.6 1.8 – 4.3 2.4 21.5 2.4 – 100.0
Komárom-Esztergom 72.1 8.7 1.1 5.0 2.7 10.4 – – 100.0
Veszprém 58.3 5.2 4.6 3.7 2.5 22.8 2.9 – 100.0
Western Transdanubia 62.8 4.8 1.4 4.1 2.5 22.5 1.0 0.9 100.0
Győr-Moson-Sopron 71.8 1.8 – 3.5 1.1 20.0 0.7 1.0 100.0
Vas 66.1 5.6 – 5.6 1.2 17.4 2.6 1.4 100.0
Zala 39.8 10.3 6.1 3.7 7.0 33.2 – – 100.0
Southern Transdanubia 53.1 13.8 0.5 5.1 6.8 12.4 3.2 5.2 100.0
Baranya 53.4 12.7 – 8.9 6.6 16.1 2.0 0.3 100.0
Somogy 48.0 20.0 1.4 2.5 7.8 8.1 5.6 6.6 100.0
Tolna 59.3 7.1 – 2.2 5.5 12.4 2.0 11.4 100.0
Northern Hungary 51.3 18.5 0.8 9.9 3.8 12.8 1.7 1.2 100.0
Borsod-Abaúj-Zemplén 45.3 21.4 1.1 11.5 5.7 12.5 1.5 1.0 100.0
Heves 62.5 12.3 0.5 4.5 2.1 12.7 3.2 2.2 100.0
Nógrád 53.6 18.9 – 13.5 – 14.0 – – 100.0
Northern Great Plain 46.5 21.9 0.5 7.3 2.5 16.3 3.4 1.5 100.0
Hajdú-Bihar 50.0 10.9 1.1 11.9 2.2 18.9 3.2 1.8 100.0
Jász-Nagykun-Szolnok 42.7 23.6 – 10.5 4.4 17.8 – 1.0 100.0
Szabolcs-Szatmár-Bereg 45.9 30.3 0.2 1.5 1.6 13.2 5.6 1.6 100.0
Southern Great Plain 48.7 14.8 0.3 8.4 3.7 20.7 1.2 2.3 100.0
Bács-Kiskun 52.1 18.6 – 11.8 4.8 9.8 2.0 0.9 100.0
Békés 42.6 17.8 – 3.9 – 29.4 1.1 5.2 100.0
Csongrád-Csanád 49.4 6.5 0.9 7.7 5.5 28.4 – 1.7 100.0
Total 52.5 9.7 1.5 7.2 3.8 22.0 1.9 1.3 100.0
The administrative classification of residence
Total
town 46.2 1.5 4.6 7.8 5.4 32.2 1.8 0.5 100.0
village 55.5 14.7 1.2 5.0 4.1 13.8 2.6 3.1 100.0
Budapest 54.9 8.5 1.3 7.7 2.8 21.2 2.4 1.3 100.0
Total 53.6 9.5 1.8 6.7 3.7 20.4 2.4 1.8 100.0
Male
town 45.5 1.7 4.9 8.1 6.4 31.5 1.4 0.4 100.0
village 55.9 14.9 1.4 4.8 3.9 12.8 2.8 3.6 100.0
Budapest 56.6 7.4 1.8 6.9 2.7 19.8 3.2 1.7 100.0
Total 54.5 9.3 2.2 6.3 3.7 19.0 2.8 2.2 100.0
Female
town 46.9 1.4 4.3 7.5 4.5 32.9 2.2 0.5 100.0
village 54.9 14.4 0.9 5.3 4.5 15.1 2.3 2.6 100.0
Budapest 53.1 9.6 0.8 8.5 3.0 22.6 1.6 0.8 100.0
Total 52.5 9.7 1.5 7.2 3.8 22.0 1.9 1.3 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011