9.4.2.7. People aged 15–29 by the usefulness of their staying abroad for any reason*(2/2)

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Denomination The respondent's staying abroad was useful because of was not useful Total
the language skills the experience gained in international community the networking another reason
%
Age group
Total
15–19 64.2 15.9 10.1 1.3 8.5 100.0
20–24 51.6 31.8 7.3 2.2 7.1 100.0
25–29 50.2 32.8 9.1 1.3 6.6 100.0
Total 53.1 29.5 8.6 1.6 7.1 100.0
Male
15–19 54.8 17.4 11.3 – 16.5 100.0
20–24 51.3 23.7 11.4 4.9 8.8 100.0
25–29 41.8 39.8 14.4 – 3.9 100.0
Total 47.8 29.6 12.7 1.8 8.1 100.0
Female
15–19 74.2 14.2 8.8 2.8 – 100.0
20–24 51.8 38.3 4.2 – 5.8 100.0
25–29 57.0 27.1 4.8 2.3 8.8 100.0
Total 57.7 29.4 5.2 1.5 6.3 100.0
Educational attainment
Total
At most 8 grades of primary school 61.9 14.0 8.6 1.5 14.0 100.0
Vocational school, apprentice school 13.3 46.0 – 10.0 30.7 100.0
Secondary general school 54.4 32.2 7.7 1.3 4.3 100.0
Secondary vocational school 35.5 30.7 19.3 3.4 11.1 100.0
College, university, PhD, DLA 56.8 31.8 7.2 0.7 3.5 100.0
Total 53.1 29.5 8.6 1.6 7.1 100.0
Male
At most 8 grades of primary school 46.0 12.7 15.5 – 25.8 100.0
Vocational school, apprentice school 12.7 55.0 – – 32.3 100.0
Secondary general school 49.5 32.7 10.9 3.0 3.8 100.0
Secondary vocational school 33.9 32.4 18.7 5.9 9.1 100.0
College, university, PhD, DLA 56.0 31.0 12.1 – 0.9 100.0
Total 47.8 29.6 12.7 1.8 8.1 100.0
Female
At most 8 grades of primary school 76.6 15.3 2.1 2.9 3.1 100.0
Vocational school, apprentice school 13.9 36.7 – 20.4 29.1 100.0
Secondary general school 58.3 31.7 5.2 – 4.7 100.0
Secondary vocational school 37.6 28.5 20.1 – 13.8 100.0
College, university, PhD, DLA 57.4 32.4 3.5 1.2 5.5 100.0
Total 57.7 29.4 5.2 1.5 6.3 100.0
Economic activity
Total
employed 49.9 30.5 8.8 2.3 8.5 100.0
unemployed 25.2 56.7 10.4 – 7.7 100.0
inactive 56.2 28.1 8.4 1.2 6.1 100.0
Total 53.1 29.5 8.6 1.6 7.1 100.0
Male
employed 45.2 32.5 12.5 1.7 8.1 100.0
unemployed 10.7 72.5 16.8 – – 100.0
inactive 51.6 25.3 12.7 1.9 8.4 100.0
Total 47.8 29.6 12.7 1.8 8.1 100.0
Female
employed 55.0 28.4 4.9 2.9 8.8 100.0
unemployed 48.4 31.5 – – 20.1 100.0
inactive 59.4 30.0 5.4 0.7 4.5 100.0
Total 57.7 29.4 5.2 1.5 6.3 100.0
County and region of residence
Total
Central Hungary 58.9 28.4 7.3 0.6 4.8 100.0
Budapest 57.6 28.1 8.8 0.9 4.6 100.0
Pest 62.0 29.1 3.8 – 5.1 100.0
Central Transdanubia 63.4 15.4 0.7 3.1 17.5 100.0
Fejér 79.6 14.8 – – 5.6 100.0
Komárom-Esztergom 57.9 11.1 2.3 10.6 18.2 100.0
Veszprém 32.8 22.5 – – 44.6 100.0
Western Transdanubia 62.8 27.4 6.0 2.5 1.3 100.0
Győr-Moson-Sopron 65.0 26.0 4.4 4.6 – 100.0
Vas 58.3 41.7 – – – 100.0
Zala 61.6 20.4 13.3 – 4.7 100.0
Southern Transdanubia 52.5 35.9 2.0 – 9.6 100.0
Baranya 51.0 40.7 1.9 – 6.4 100.0
Somogy 55.0 22.4 3.4 – 19.3 100.0
Tolna 67.4 – – – 32.6 100.0
Northern Hungary 55.8 34.7 2.5 – 7.0 100.0
Borsod-Abaúj-Zemplén 50.5 36.9 4.2 – 8.5 100.0
Heves 39.5 60.5 – – – 100.0
Nógrád 75.1 17.8 – – 7.1 100.0
Northern Great Plain 25.7 47.7 16.8 – 9.8 100.0
Hajdú-Bihar 21.6 64.4 10.6 – 3.4 100.0
Jász-Nagykun-Szolnok 50.2 37.5 6.8 – 5.5 100.0
Szabolcs-Szatmár-Bereg – 29.4 42.6 – 27.9 100.0
Southern Great Plain 39.2 27.0 22.1 5.2 6.6 100.0
Bács-Kiskun 45.4 11.8 29.4 5.6 7.8 100.0
Békés 25.3 51.8 – 4.3 18.6 100.0
Csongrád-Csanád 39.2 31.0 24.6 5.1 – 100.0
Total 53.1 29.5 8.6 1.6 7.1 100.0
Male
Central Hungary 57.1 28.1 14.9 – – 100.0
Budapest 56.7 20.2 23.1 – – 100.0
Pest 57.6 38.2 4.2 – – 100.0
Central Transdanubia 58.5 18.0 – – 23.5 100.0
Fejér 65.1 22.4 – – 12.5 100.0
Komárom-Esztergom 60.0 13.2 – – 26.9 100.0
Veszprém 18.6 17.3 – – 64.1 100.0
Western Transdanubia 56.2 31.8 9.9 – 2.1 100.0
Győr-Moson-Sopron 54.1 38.7 7.3 – – 100.0
Vas 73.5 26.5 – – – 100.0
Zala 51.4 23.3 18.7 – 6.6 100.0
Southern Transdanubia 62.8 19.2 4.4 – 13.6 100.0
Baranya 56.1 24.8 4.4 – 14.8 100.0
Somogy 92.2 – 7.8 – – 100.0
Tolna 78.7 – – – 21.3 100.0
Northern Hungary 42.4 42.6 4.9 – 10.1 100.0
Borsod-Abaúj-Zemplén 35.2 42.8 7.3 – 14.8 100.0
Heves 50.0 50.0 – – – 100.0
Nógrád 60.4 39.6 – – – 100.0
Northern Great Plain 18.6 41.5 18.4 – 21.5 100.0
Hajdú-Bihar 25.7 38.9 30.6 – 4.8 100.0
Jász-Nagykun-Szolnok 27.3 60.0 – – 12.7 100.0
Szabolcs-Szatmár-Bereg – 24.2 23.4 – 52.4 100.0
Southern Great Plain 25.8 31.7 24.9 9.7 7.9 100.0
Bács-Kiskun 44.4 11.9 17.6 12.5 13.7 100.0
Békés 9.2 64.2 – 8.2 18.4 100.0
Csongrád-Csanád 18.8 33.8 39.2 8.2 – 100.0
Total 47.8 29.6 12.7 1.8 8.1 100.0
Female
Central Hungary 60.0 28.6 2.7 1.0 7.7 100.0
Budapest 58.0 31.5 2.6 1.3 6.6 100.0
Pest 67.7 17.1 3.3 – 11.8 100.0
Central Transdanubia 67.6 13.1 1.2 5.7 12.3 100.0
Fejér 91.2 8.8 – – – 100.0
Komárom-Esztergom 53.5 6.7 7.1 32.6 – 100.0
Veszprém 36.5 23.9 – – 39.6 100.0
Western Transdanubia 73.2 20.4 – 6.3 – 100.0
Győr-Moson-Sopron 81.6 6.8 – 11.6 – 100.0
Vas 43.5 56.5 – – – 100.0
Zala 86.6 13.4 – – – 100.0
Southern Transdanubia 44.1 49.7 – – 6.3 100.0
Baranya 47.2 52.8 – – – 100.0
Somogy 26.6 39.4 – – 33.9 100.0
Tolna 30.9 – – – 69.1 100.0
Northern Hungary 69.6 26.4 – – 3.9 100.0
Borsod-Abaúj-Zemplén 70.9 29.1 – – – 100.0
Heves 34.1 65.9 – – – 100.0
Nógrád 87.1 – – – 12.9 100.0
Northern Great Plain 30.8 52.2 15.8 – 1.3 100.0
Hajdú-Bihar 19.5 78.0 – – 2.6 100.0
Jász-Nagykun-Szolnok 67.7 20.3 11.9 – – 100.0
Szabolcs-Szatmár-Bereg – 35.4 64.6 – – 100.0
Southern Great Plain 54.7 21.4 18.9 – 5.0 100.0
Bács-Kiskun 46.3 11.8 38.9 – 3.1 100.0
Békés 43.3 37.9 – – 18.9 100.0
Csongrád-Csanád 73.6 26.4 – – – 100.0
Total 57.7 29.4 5.2 1.5 6.3 100.0
The administrative classification of residence
Total
town 57.6 28.1 8.8 0.9 4.6 100.0
village 63.5 21.7 5.2 – 9.6 100.0
Budapest 46.0 33.9 10.1 2.8 7.2 100.0
Total 53.1 29.5 8.6 1.6 7.1 100.0
Male
town 56.7 20.2 23.1 – – 100.0
village 60.1 20.1 3.8 – 16.0 100.0
Budapest 39.2 37.0 13.7 3.1 6.9 100.0
Total 47.8 29.6 12.7 1.8 8.1 100.0
Female
town 58.0 31.5 2.6 1.3 6.6 100.0
village 67.0 23.4 6.8 – 2.8 100.0
Budapest 53.1 30.6 6.4 2.4 7.6 100.0
Total 57.7 29.4 5.2 1.5 6.3 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011