9.4.1.6. People aged 15–29 by the total length of time working abroad*(2/2)

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Denomination The respondent worked abroad Total
1–3 months 4–11 months 1 year more than 1 year, but at most 2 years more than two years but at most 3 years more than 3 years
%
Age group
Total
15–19 60.7 34.1 4.0 1.2 100.0
20–24 22.1 21.9 9.1 28.1 11.4 7.4 100.0
25–29 16.6 12.7 7.2 19.8 16.0 27.7 100.0
Total 19.8 15.9 7.5 21.0 14.2 21.6 100.0
Male
15–19 66.9 26.3 6.8 100.0
20–24 16.4 24.7 13.8 31.1 12.9 1.1 100.0
25–29 16.4 15.1 5.9 18.9 15.5 28.2 100.0
Total 18.5 17.8 7.8 21.0 14.3 20.7 100.0
Female
15–19 51.6 45.5 2.8 100.0
20–24 30.5 17.7 2.0 23.8 9.3 16.6 100.0
25–29 17.0 8.7 9.5 21.2 16.7 27.0 100.0
Total 22.1 12.7 7.1 21.0 14.0 23.0 100.0
Educational attainment
Total
At most 8 grades of primary school 33.8 23.9 3.5 19.3 10.1 9.3 100.0
Vocational school, apprentice school 13.1 12.4 7.9 21.0 24.9 20.8 100.0
Secondary general school 15.5 18.2 11.8 23.4 11.6 19.5 100.0
Secondary vocational school 17.5 11.1 7.3 19.7 6.3 38.1 100.0
College, university, PhD, DLA 23.5 18.2 6.8 21.8 17.5 12.2 100.0
Total 19.8 15.9 7.5 21.0 14.2 21.6 100.0
Male
At most 8 grades of primary school 40.6 18.7 4.8 17.0 11.1 7.9 100.0
Vocational school, apprentice school 14.2 11.7 6.4 22.7 22.8 22.2 100.0
Secondary general school 10.8 24.2 11.1 20.0 7.3 26.5 100.0
Secondary vocational school 18.8 14.5 7.4 22.2 8.0 29.1 100.0
College, university, PhD, DLA 9.6 27.2 11.0 20.7 18.3 13.2 100.0
Total 18.5 17.8 7.8 21.0 14.3 20.7 100.0
Female
At most 8 grades of primary school 15.3 38.1 25.8 7.5 13.2 100.0
Vocational school, apprentice school 8.6 14.8 13.6 14.7 33.0 15.3 100.0
Secondary general school 18.7 14.1 12.4 25.6 14.5 14.7 100.0
Secondary vocational school 15.0 4.0 7.0 14.5 2.8 56.8 100.0
College, university, PhD, DLA 37.2 9.4 2.7 22.8 16.7 11.2 100.0
Total 22.1 12.7 7.1 21.0 14.0 23.0 100.0
County and region of residence
Total
Central Hungary 20.2 9.4 16.8 25.7 11.7 16.1 100.0
Budapest 22.2 11.1 18.0 22.3 12.9 13.6 100.0
Pest 13.6 3.5 12.8 37.5 7.6 25.0 100.0
Central Transdanubia 25.4 12.2 5.2 21.7 10.6 24.9 100.0
Fejér 43.5 8.7 10.0 18.1 4.3 15.4 100.0
Komárom-Esztergom 10.4 18.9 20.3 38.8 11.6 100.0
Veszprém 3.0 14.4 28.7 5.8 48.1 100.0
Western Transdanubia 8.7 15.1 4.1 17.7 13.4 41.1 100.0
Győr-Moson-Sopron 5.0 11.5 5.2 18.7 12.5 47.0 100.0
Vas 5.5 27.5 4.0 12.4 17.8 32.8 100.0
Zala 25.4 13.2 20.4 11.1 29.9 100.0
Southern Transdanubia 16.1 33.6 6.2 13.2 18.5 12.4 100.0
Baranya 23.0 25.2 15.3 3.1 18.5 14.9 100.0
Somogy 12.0 56.6 1.8 22.3 5.4 1.9 100.0
Tolna 11.9 21.5 16.2 30.8 19.6 100.0
Northern Hungary 26.0 12.6 2.8 28.2 16.2 14.2 100.0
Borsod-Abaúj-Zemplén 26.6 13.1 3.4 28.7 10.8 17.4 100.0
Heves 18.0 27.3 43.3 11.4 100.0
Nógrád 26.9 16.1 57.0 100.0
Northern Great Plain 29.3 11.4 3.9 25.1 21.2 9.2 100.0
Hajdú-Bihar 45.1 7.7 15.4 9.2 22.5 100.0
Jász-Nagykun-Szolnok 13.3 12.5 45.3 19.4 9.5 100.0
Szabolcs-Szatmár-Bereg 27.5 18.4 3.5 20.4 30.3 100.0
Southern Great Plain 20.4 27.5 6.5 12.0 11.2 22.4 100.0
Bács-Kiskun 12.6 26.1 5.1 9.7 13.5 33.0 100.0
Békés 32.1 26.5 10.4 10.7 11.6 8.8 100.0
Csongrád-Csanád 17.6 37.2 25.9 19.3 100.0
Total 19.8 15.9 7.5 21.0 14.2 21.6 100.0
Male
Central Hungary 13.4 10.4 19.2 29.7 11.7 15.6 100.0
Budapest 14.9 13.6 23.5 20.6 12.4 15.1 100.0
Pest 10.1 3.2 9.7 50.0 10.1 16.8 100.0
Central Transdanubia 21.6 19.0 8.9 15.9 3.1 31.6 100.0
Fejér 36.2 16.2 18.8 28.8 100.0
Komárom-Esztergom 17.0 30.9 33.1 18.9 100.0
Veszprém 4.5 16.8 28.6 8.6 41.5 100.0
Western Transdanubia 10.6 16.6 6.3 17.4 14.9 34.2 100.0
Győr-Moson-Sopron 2.3 11.3 8.7 21.3 15.2 41.3 100.0
Vas 9.2 30.8 6.8 18.9 26.0 8.2 100.0
Zala 33.4 17.3 6.0 4.0 39.3 100.0
Southern Transdanubia 13.3 25.5 8.4 15.9 23.1 13.7 100.0
Baranya 16.9 17.9 24.1 4.8 23.9 12.5 100.0
Somogy 7.3 58.4 30.7 3.7 100.0
Tolna 13.9 13.0 16.9 35.7 20.6 100.0
Northern Hungary 26.7 14.5 3.5 29.0 11.4 14.9 100.0
Borsod-Abaúj-Zemplén 26.8 16.4 4.2 30.7 3.8 18.1 100.0
Heves 24.3 17.3 58.4 100.0
Nógrád 27.7 72.3 100.0
Northern Great Plain 24.6 17.4 25.3 23.9 8.8 100.0
Hajdú-Bihar 34.1 19.9 20.7 25.2 100.0
Jász-Nagykun-Szolnok 5.7 17.1 37.6 26.5 13.1 100.0
Szabolcs-Szatmár-Bereg 31.0 24.4 20.8 23.8 100.0
Southern Great Plain 25.7 29.7 2.4 6.6 12.4 23.2 100.0
Bács-Kiskun 18.3 23.1 16.5 42.1 100.0
Békés 39.1 25.3 5.8 15.6 9.7 4.6 100.0
Csongrád-Csanád 100.0 100.0
Total 18.5 17.8 7.8 21.0 14.3 20.7 100.0
Female
Central Hungary 28.5 8.3 14.0 20.9 11.6 16.8 100.0
Budapest 29.1 8.8 12.8 23.9 13.3 12.1 100.0
Pest 24.1 4.4 22.1 49.4 100.0
Central Transdanubia 30.9 2.3 30.2 21.5 15.2 100.0
Fejér 51.9 38.8 9.3 100.0
Komárom-Esztergom 100.0 100.0
Veszprém 9.3 28.9 61.7 100.0
Western Transdanubia 5.8 12.9 0.6 18.2 11.1 51.5 100.0
Győr-Moson-Sopron 8.4 11.9 0.9 15.4 9.2 54.2 100.0
Vas 22.6 3.0 5.7 68.7 100.0
Zala 66.0 34.0 100.0
Southern Transdanubia 21.7 50.5 1.7 7.6 8.8 9.8 100.0
Baranya 33.7 38.1 9.0 19.2 100.0
Somogy 17.2 54.6 3.7 13.2 11.3 100.0
Tolna 74.6 12.0 13.4 100.0
Northern Hungary 23.3 5.0 25.5 34.9 11.4 100.0
Borsod-Abaúj-Zemplén 25.8 20.5 39.2 14.4 100.0
Heves 56.0 44.0 100.0
Nógrád 23.7 76.3 100.0
Northern Great Plain 38.1 11.2 24.8 16.0 9.9 100.0
Hajdú-Bihar 53.9 13.8 11.9 20.4 100.0
Jász-Nagykun-Szolnok 33.7 66.3 100.0
Szabolcs-Szatmár-Bereg 16.8 14.0 19.2 50.0 100.0
Southern Great Plain 12.3 24.2 12.7 20.3 9.3 21.2 100.0
Bács-Kiskun 4.1 30.4 12.8 24.2 9.0 19.5 100.0
Békés 16.7 29.0 20.6 15.7 18.0 100.0
Csongrád-Csanád 28.0 41.3 30.8 100.0
Total 22.1 12.7 7.1 21.0 14.0 23.0 100.0
The administrative classification of residence
Total
town 22.2 11.1 18.0 22.3 12.9 13.6 100.0
village 22.7 15.4 1.6 22.1 15.6 22.6 100.0
Budapest 17.2 17.9 7.4 19.9 13.7 23.8 100.0
Total 19.8 15.9 7.5 21.0 14.2 21.6 100.0
Male
town 14.9 13.6 23.5 20.6 12.4 15.1 100.0
village 22.3 16.7 0.9 22.0 17.1 20.9 100.0
Budapest 16.9 19.7 8.0 20.5 12.9 22.1 100.0
Total 18.5 17.8 7.8 21.0 14.3 20.7 100.0
Female
town 29.1 8.8 12.8 23.9 13.3 12.1 100.0
village 23.5 12.7 3.0 22.2 12.5 26.1 100.0
Budapest 17.8 14.7 6.5 18.9 15.2 26.9 100.0
Total 22.1 12.7 7.1 21.0 14.0 23.0 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011