9.4.2.6. People aged 15–29 by the aim of staying aborad not related to studies*(2/2)

< >
Denomination The purpose of the respondent's staying abroad was did not participate in such a programme Total
to participate in a language course to participate in a conference, seminar or other meeting to participate in the programmes and works of voluntary organisations other programme
%
Age group
Total
15–19 0.3 0.3 0.2 0.4 98.5 100.0
20–24 1.1 0.9 0.2 0.1 97.4 100.0
25–29 1.0 0.7 0.5 0.1 96.9 100.0
Total 0.8 0.7 0.3 0.2 97.6 100.0
Male
15–19 0.1 0.1 0.2 0.4 98.5 100.0
20–24 1.3 1.1 0.3 0.1 97.5 100.0
25–29 1.3 1.1 0.4 0.1 96.6 100.0
Total 0.9 0.8 0.3 0.2 97.5 100.0
Female
15–19 0.4 0.5 0.1 0.4 98.4 100.0
20–24 0.9 0.8 0.2 0.1 97.3 100.0
25–29 0.8 0.3 0.6 0.2 97.3 100.0
Total 0.7 0.5 0.3 0.2 97.6 100.0
Educational attainment
Total
At most 8 grades of primary school 0.2 0.2 0.1 0.3 98.9 100.0
Vocational school, apprentice school 0.1 0.1 0.1 0.1 99.3 100.0
Secondary general school 1.2 1.5 0.4 0.2 96.3 100.0
Secondary vocational school 0.6 0.5 0.4 0.0 97.9 100.0
College, university, PhD, DLA 2.8 1.4 0.7 0.2 94.3 100.0
Total 0.8 0.7 0.3 0.2 97.6 100.0
Male
At most 8 grades of primary school 0.1 0.0 0.2 0.3 98.9 100.0
Vocational school, apprentice school – 0.1 0.1 0.1 99.4 100.0
Secondary general school 1.2 2.0 0.5 0.2 96.1 100.0
Secondary vocational school 0.7 0.3 0.5 0.1 98.1 100.0
College, university, PhD, DLA 5.1 2.8 0.2 – 91.5 100.0
Total 0.9 0.8 0.3 0.2 97.5 100.0
Female
At most 8 grades of primary school 0.4 0.3 0.0 0.4 98.8 100.0
Vocational school, apprentice school 0.2 – – 0.1 99.1 100.0
Secondary general school 1.2 1.0 0.3 0.2 96.5 100.0
Secondary vocational school 0.4 0.7 0.4 – 97.7 100.0
College, university, PhD, DLA 1.2 0.4 0.9 0.4 96.2 100.0
Total 0.7 0.5 0.3 0.2 97.6 100.0
Economic activity
Total
employed 0.8 0.4 0.3 0.1 97.9 100.0
unemployed – 0.3 0.1 – 99.3 100.0
inactive 1.0 0.9 0.3 0.3 97.1 100.0
Total 0.8 0.7 0.3 0.2 97.6 100.0
Male
employed 0.9 0.6 0.3 0.1 97.6 100.0
unemployed – 0.6 0.2 – 99.0 100.0
inactive 1.1 1.0 0.3 0.3 97.2 100.0
Total 0.9 0.8 0.3 0.2 97.5 100.0
Female
employed 0.6 0.2 0.3 0.1 98.3 100.0
unemployed – – – – 99.7 100.0
inactive 0.9 0.8 0.4 0.4 97.0 100.0
Total 0.7 0.5 0.3 0.2 97.6 100.0
County and region of residence
Total
Central Hungary 1.7 0.8 0.4 0.1 96.5 100.0
Budapest 1.9 0.6 0.5 – 96.2 100.0
Pest 1.5 1.2 0.4 0.2 97.0 100.0
Central Transdanubia 0.6 0.2 0.2 0.3 97.5 100.0
Fejér 0.7 – 0.5 0.3 96.7 100.0
Komárom-Esztergom 0.9 0.8 0.1 – 96.7 100.0
Veszprém – – – 0.5 99.2 100.0
Western Transdanubia 0.2 0.7 0.5 0.1 97.4 100.0
Győr-Moson-Sopron 0.4 0.9 – – 97.4 100.0
Vas 0.1 0.1 0.2 0.5 98.7 100.0
Zala 0.1 0.7 1.6 – 96.1 100.0
Southern Transdanubia 1.0 0.5 0.1 0.3 97.2 100.0
Baranya 1.4 1.3 – 0.7 94.7 100.0
Somogy 0.5 – 0.4 – 99.1 100.0
Tolna 0.8 – – – 98.9 100.0
Northern Hungary 0.4 0.4 0.2 0.2 98.9 100.0
Borsod-Abaúj-Zemplén 0.3 0.2 0.1 0.3 99.2 100.0
Heves 0.9 0.6 – 0.3 98.7 100.0
Nógrád 0.1 0.8 1.0 – 98.5 100.0
Northern Great Plain 0.1 0.5 0.1 0.3 99.0 100.0
Hajdú-Bihar – 0.1 – 0.6 98.9 100.0
Jász-Nagykun-Szolnok 0.4 1.2 – 0.6 98.3 100.0
Szabolcs-Szatmár-Bereg – 0.3 0.3 – 99.4 100.0
Southern Great Plain 0.8 1.3 0.3 0.2 97.1 100.0
Bács-Kiskun 1.2 1.8 0.6 0.2 96.2 100.0
Békés – – 0.3 0.4 99.0 100.0
Csongrád-Csanád 1.0 1.6 0.1 – 96.5 100.0
Total 0.8 0.7 0.3 0.2 97.6 100.0
Male
Central Hungary 2.2 1.0 0.4 0.0 96.4 100.0
Budapest 2.0 0.6 0.3 – 96.5 100.0
Pest 2.5 1.6 0.5 0.1 96.3 100.0
Central Transdanubia 0.5 0.4 0.1 0.2 97.3 100.0
Fejér 0.7 – 0.2 0.5 96.9 100.0
Komárom-Esztergom 0.7 1.4 – – 95.1 100.0
Veszprém – – – – 99.8 100.0
Western Transdanubia 0.4 1.2 0.8 – 96.3 100.0
Győr-Moson-Sopron 0.8 1.8 – – 96.2 100.0
Vas – – – – 99.2 100.0
Zala – 1.4 3.1 – 93.6 100.0
Southern Transdanubia 1.0 – 0.2 0.3 97.4 100.0
Baranya 0.8 – – 0.8 96.2 100.0
Somogy 0.6 – 0.7 – 98.7 100.0
Tolna 1.6 – – – 98.0 100.0
Northern Hungary 0.5 0.7 0.4 0.3 98.7 100.0
Borsod-Abaúj-Zemplén 0.2 0.3 0.1 0.3 99.1 100.0
Heves 1.2 1.2 – 0.6 98.8 100.0
Nógrád 0.2 1.5 1.9 – 97.1 100.0
Northern Great Plain 0.2 0.6 – 0.2 99.0 100.0
Hajdú-Bihar – 0.3 – 0.6 98.7 100.0
Jász-Nagykun-Szolnok 0.8 1.2 – – 98.8 100.0
Szabolcs-Szatmár-Bereg – 0.6 – – 99.4 100.0
Southern Great Plain 0.5 1.2 0.2 0.2 97.7 100.0
Bács-Kiskun 1.1 0.6 – – 98.2 100.0
Békés – – 0.6 0.8 98.7 100.0
Csongrád-Csanád – 2.8 – – 96.3 100.0
Total 0.9 0.8 0.3 0.2 97.5 100.0
Female
Central Hungary 1.2 0.6 0.5 0.1 96.7 100.0
Budapest 1.8 0.5 0.7 – 96.0 100.0
Pest 0.5 0.8 0.2 0.2 97.6 100.0
Central Transdanubia 0.6 0.1 0.4 0.3 97.7 100.0
Fejér 0.8 – 0.9 – 96.5 100.0
Komárom-Esztergom 1.1 0.2 0.2 – 98.4 100.0
Veszprém – – – 1.1 98.6 100.0
Western Transdanubia 0.1 0.1 0.1 0.3 98.6 100.0
Győr-Moson-Sopron – – – – 98.7 100.0
Vas 0.2 0.2 0.4 1.1 98.2 100.0
Zala 0.2 – – – 98.9 100.0
Southern Transdanubia 1.0 1.1 – 0.3 97.0 100.0
Baranya 1.9 2.7 – 0.6 93.2 100.0
Somogy 0.5 – – – 99.5 100.0
Tolna – – – – 100.0 100.0
Northern Hungary 0.4 0.0 0.0 0.2 99.2 100.0
Borsod-Abaúj-Zemplén 0.4 0.1 0.1 0.3 99.2 100.0
Heves 0.6 – – – 98.5 100.0
Nógrád – – – – 100.0 100.0
Northern Great Plain – 0.3 0.2 0.5 98.9 100.0
Hajdú-Bihar – – – 0.5 99.1 100.0
Jász-Nagykun-Szolnok – 1.3 – 1.3 97.8 100.0
Szabolcs-Szatmár-Bereg – – 0.5 – 99.5 100.0
Southern Great Plain 1.2 1.4 0.5 0.2 96.3 100.0
Bács-Kiskun 1.4 3.1 1.1 0.5 94.1 100.0
Békés – – – – 99.3 100.0
Csongrád-Csanád 1.9 0.4 0.2 – 96.6 100.0
Total 0.7 0.5 0.3 0.2 97.6 100.0
The administrative classification of residence
Total
town 1.9 0.6 0.5 – 96.2 100.0
village 0.6 0.4 0.3 0.2 98.2 100.0
Budapest 0.6 0.9 0.2 0.3 97.5 100.0
Total 0.8 0.7 0.3 0.2 97.6 100.0
Male
town 2.0 0.6 0.3 – 96.5 100.0
village 0.7 0.6 0.4 0.1 98.1 100.0
Budapest 0.8 1.0 0.2 0.3 97.3 100.0
Total 0.9 0.8 0.3 0.2 97.5 100.0
Female
town 1.8 0.5 0.7 – 96.0 100.0
village 0.5 0.2 0.3 0.3 98.4 100.0
Budapest 0.5 0.8 0.2 0.3 97.7 100.0
Total 0.7 0.5 0.3 0.2 97.6 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011