9.4.2.4.2. People aged 15–29 by the length of staying abroad related to their earlier studies – secondary education*(2/2)

< >
Denomination The respondent Total
stayed abroad for 2 weeks – 3 months stayed abroad for 3–6 months stayed abroad for more than 6 months but at most 1 year stayed abroad for more than 1 year did not stay abroad
%
Age group
Total
15–19 1.0 0.0 0.1 0.1 0.4 100.0
20–24 1.2 0.1 0.0 0.2 1.9 100.0
25–29 0.8 0.0 0.3 0.7 2.7 100.0
Total 1.0 0.0 0.1 0.3 1.7 100.0
Male
15–19 0.8 – 0.1 0.1 0.6 100.0
20–24 0.9 0.1 – 0.3 1.4 100.0
25–29 0.6 – 0.2 0.6 2.3 100.0
Total 0.8 0.0 0.1 0.4 1.5 100.0
Female
15–19 1.1 0.0 0.1 0.2 0.3 100.0
20–24 1.6 0.0 0.1 0.0 2.4 100.0
25–29 1.0 0.1 0.3 0.7 3.1 100.0
Total 1.2 0.0 0.2 0.3 2.0 100.0
Educational attainment
Total
At most 8 grades of primary school 0.7 0.0 0.0 0.1 0.2 100.0
Vocational school, apprentice school 0.2 0.1 – 0.2 0.1 100.0
Secondary general school 1.4 0.0 0.1 0.7 2.0 100.0
Secondary vocational school 1.5 0.1 0.1 0.4 0.3 100.0
College, university, PhD, DLA 1.4 – 0.5 0.4 8.4 100.0
Total 1.0 0.0 0.1 0.3 1.7 100.0
Male
At most 8 grades of primary school 0.5 – – 0.1 0.3 100.0
Vocational school, apprentice school 0.3 0.1 – 0.0 0.1 100.0
Secondary general school 1.1 – 0.3 0.8 1.9 100.0
Secondary vocational school 1.4 0.1 – 0.7 0.2 100.0
College, university, PhD, DLA 0.9 – 0.2 0.3 8.7 100.0
Total 0.8 0.0 0.1 0.4 1.5 100.0
Female
At most 8 grades of primary school 0.9 0.0 0.1 0.1 0.2 100.0
Vocational school, apprentice school 0.2 0.3 – 0.4 0.2 100.0
Secondary general school 1.6 0.1 – 0.6 2.1 100.0
Secondary vocational school 1.5 – 0.2 – 0.3 100.0
College, university, PhD, DLA 1.8 – 0.7 0.5 8.3 100.0
Total 1.2 0.0 0.2 0.3 2.0 100.0
County and region of residence
Total
Central Hungary 1.0 – 0.3 0.4 2.5 100.0
Budapest 0.9 – 0.5 0.6 3.4 100.0
Pest 1.0 – – 0.2 1.4 100.0
Central Transdanubia 0.8 – – 0.2 1.6 100.0
Fejér 1.4 – – – 1.8 100.0
Komárom-Esztergom 0.1 – – 0.5 1.1 100.0
Veszprém 0.8 – – – 1.7 100.0
Western Transdanubia 0.9 0.1 0.2 0.5 1.7 100.0
Győr-Moson-Sopron 1.5 0.2 – 0.2 2.1 100.0
Vas 0.8 – – 1.4 0.9 100.0
Zala – – 0.7 – 1.9 100.0
Southern Transdanubia 1.0 – 0.1 0.2 1.8 100.0
Baranya 1.9 – 0.1 0.5 4.0 100.0
Somogy 0.4 – – – 0.5 100.0
Tolna 0.3 – – – – 100.0
Northern Hungary 1.7 0.1 0.0 – 1.0 100.0
Borsod-Abaúj-Zemplén 1.3 0.1 0.0 – 1.1 100.0
Heves 1.0 – – – 0.8 100.0
Nógrád 3.9 – – – 0.6 100.0
Northern Great Plain 0.4 – 0.1 0.1 1.1 100.0
Hajdú-Bihar 0.3 – 0.3 0.4 1.5 100.0
Jász-Nagykun-Szolnok 1.0 – – – 2.0 100.0
Szabolcs-Szatmár-Bereg 0.2 – – – 0.1 100.0
Southern Great Plain 1.4 0.1 0.1 0.8 1.7 100.0
Bács-Kiskun 2.0 – – 0.1 1.4 100.0
Békés 1.0 0.5 – – 1.6 100.0
Csongrád-Csanád 0.9 – 0.3 2.5 2.3 100.0
Total 1.0 0.0 0.1 0.3 1.7 100.0
Male
Central Hungary 0.8 – 0.1 0.2 1.7 100.0
Budapest 0.6 – 0.2 – 1.4 100.0
Pest 1.0 – – 0.5 2.0 100.0
Central Transdanubia 0.5 – – – 1.1 100.0
Fejér 1.0 – – – 1.1 100.0
Komárom-Esztergom 0.2 – – – 1.5 100.0
Veszprém 0.2 – – – 0.8 100.0
Western Transdanubia 1.3 0.2 0.3 0.3 1.4 100.0
Győr-Moson-Sopron 2.2 0.5 – 0.1 1.5 100.0
Vas 1.0 – – 1.0 1.0 100.0
Zala – – 1.2 – 1.5 100.0
Southern Transdanubia 0.6 – 0.1 0.4 1.8 100.0
Baranya 1.0 – 0.2 0.9 4.2 100.0
Somogy 0.6 – – – – 100.0
Tolna – – – – – 100.0
Northern Hungary 1.0 – – – 1.4 100.0
Borsod-Abaúj-Zemplén 1.0 – – – 1.8 100.0
Heves 0.6 – – – 0.6 100.0
Nógrád 2.0 – – – 0.8 100.0
Northern Great Plain – – – 0.1 0.8 100.0
Hajdú-Bihar – – – 0.3 0.8 100.0
Jász-Nagykun-Szolnok – – – – 2.1 100.0
Szabolcs-Szatmár-Bereg – – – – 0.1 100.0
Southern Great Plain 1.3 0.1 0.2 1.6 2.1 100.0
Bács-Kiskun 2.0 – – – 1.8 100.0
Békés 1.1 0.3 – – 1.4 100.0
Csongrád-Csanád 0.4 – 0.6 4.9 3.0 100.0
Total 0.8 0.0 0.1 0.4 1.5 100.0
Female
Central Hungary 1.1 – 0.5 0.6 3.4 100.0
Budapest 1.1 – 0.8 1.1 5.3 100.0
Pest 1.0 – – – 0.6 100.0
Central Transdanubia 1.1 – – 0.3 2.0 100.0
Fejér 1.7 – – – 2.5 100.0
Komárom-Esztergom – – – 1.1 0.7 100.0
Veszprém 1.4 – – – 2.7 100.0
Western Transdanubia 0.5 – – 0.6 2.1 100.0
Győr-Moson-Sopron 0.8 – – 0.4 2.6 100.0
Vas 0.5 – – 1.8 0.7 100.0
Zala – – – – 2.5 100.0
Southern Transdanubia 1.5 – – – 1.9 100.0
Baranya 2.9 – – – 3.7 100.0
Somogy 0.2 – – – 1.0 100.0
Tolna 0.7 – – – – 100.0
Northern Hungary 2.3 0.2 0.0 – 0.6 100.0
Borsod-Abaúj-Zemplén 1.6 0.3 0.1 – 0.4 100.0
Heves 1.5 – – – 1.0 100.0
Nógrád 6.0 – – – 0.5 100.0
Northern Great Plain 0.9 – 0.2 0.2 1.4 100.0
Hajdú-Bihar 0.7 – 0.5 0.5 2.2 100.0
Jász-Nagykun-Szolnok 2.0 – – – 2.0 100.0
Szabolcs-Szatmár-Bereg 0.5 – – – 0.2 100.0
Southern Great Plain 1.5 0.2 – 0.1 1.4 100.0
Bács-Kiskun 2.1 – – 0.2 0.9 100.0
Békés 0.8 0.8 – – 1.8 100.0
Csongrád-Csanád 1.3 – – – 1.6 100.0
Total 1.2 0.0 0.2 0.3 2.0 100.0
The administrative classification of residence
Total
town 0.9 – 0.5 0.6 3.4 100.0
village 0.8 0.0 0.1 0.1 1.0 100.0
Budapest 1.2 0.1 0.1 0.5 1.7 100.0
Total 1.0 0.0 0.1 0.3 1.7 100.0
Male
town 0.6 – 0.2 – 1.4 100.0
village 0.6 0.0 0.1 0.0 1.2 100.0
Budapest 1.0 0.0 0.1 0.7 1.7 100.0
Total 0.8 0.0 0.1 0.4 1.5 100.0
Female
town 1.1 – 0.8 1.1 5.3 100.0
village 1.1 0.0 – 0.1 0.7 100.0
Budapest 1.4 0.1 0.1 0.2 1.8 100.0
Total 1.2 0.0 0.2 0.3 2.0 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011