9.4.2.12. People aged 15–29 looking for a job for more than one month after completing their studies by what they did in the period between completing their studies and starting to work*(2/2)

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Denomination The respondent spent this time primarily with Total
searching a job taking steps to start his/her own business taking part in other trainings other activity
%
Age group
Total
15–19 91.2 – 0.6 8.2 100.0
20–24 91.4 0.6 1.7 6.3 100.0
25–29 90.4 1.0 1.5 7.1 100.0
Total 90.8 0.8 1.6 6.9 100.0
Male
15–19 96.7 – 0.4 2.9 100.0
20–24 92.5 0.3 1.2 6.0 100.0
25–29 90.7 0.7 1.8 6.7 100.0
Total 91.6 0.6 1.5 6.3 100.0
Female
15–19 82.4 – 1.0 16.6 100.0
20–24 90.0 0.9 2.4 6.7 100.0
25–29 90.0 1.2 1.2 7.6 100.0
Total 89.8 1.1 1.6 7.6 100.0
Educational attainment
Total
At most 8 grades of primary school 88.6 0.5 0.9 9.9 100.0
Vocational school, apprentice school 92.4 0.5 1.0 6.2 100.0
Secondary general school 92.2 0.1 2.5 5.2 100.0
Secondary vocational school 90.4 1.2 2.1 6.3 100.0
College, university, PhD, DLA 90.7 1.5 1.6 6.2 100.0
Total 90.8 0.8 1.6 6.9 100.0
Male
At most 8 grades of primary school 92.8 0.1 1.0 6.1 100.0
Vocational school, apprentice school 93.5 0.4 0.6 5.4 100.0
Secondary general school 94.1 0.2 2.2 3.4 100.0
Secondary vocational school 88.1 0.9 2.4 8.5 100.0
College, university, PhD, DLA 89.3 1.4 2.3 7.0 100.0
Total 91.6 0.6 1.5 6.3 100.0
Female
At most 8 grades of primary school 82.0 1.2 0.8 16.0 100.0
Vocational school, apprentice school 90.0 0.7 1.7 7.7 100.0
Secondary general school 90.7 – 2.8 6.5 100.0
Secondary vocational school 93.2 1.5 1.7 3.6 100.0
College, university, PhD, DLA 91.6 1.6 1.1 5.7 100.0
Total 89.8 1.1 1.6 7.6 100.0
Economic activity
Total
employed 90.1 0.9 1.7 7.2 100.0
unemployed 94.2 0.6 0.5 4.8 100.0
inactive 93.1 – 1.3 5.6 100.0
Total 90.8 0.8 1.6 6.9 100.0
Male
employed 91.3 0.6 1.6 6.5 100.0
unemployed 94.6 – 0.7 4.7 100.0
inactive 92.5 – 2.5 5.0 100.0
Total 91.6 0.6 1.5 6.3 100.0
Female
employed 88.5 1.3 1.9 8.3 100.0
unemployed 93.5 1.5 – 5.0 100.0
inactive 93.3 – 0.9 5.8 100.0
Total 89.8 1.1 1.6 7.6 100.0
County and region of residence
Total
Central Hungary 90.0 1.0 0.7 8.3 100.0
Budapest 91.0 1.1 – 7.9 100.0
Pest 88.5 1.0 1.7 8.8 100.0
Central Transdanubia 90.2 0.8 1.2 7.8 100.0
Fejér 93.1 0.6 2.8 3.5 100.0
Komárom-Esztergom 85.6 1.8 – 12.6 100.0
Veszprém 91.9 – 0.5 7.5 100.0
Western Transdanubia 87.0 – 2.7 10.3 100.0
Győr-Moson-Sopron 87.3 – 0.8 11.8 100.0
Vas 84.3 – 2.1 13.6 100.0
Zala 88.7 – 6.5 4.8 100.0
Southern Transdanubia 89.8 1.0 2.1 7.1 100.0
Baranya 89.7 – 0.3 10.0 100.0
Somogy 89.2 1.5 1.2 8.0 100.0
Tolna 90.9 1.4 5.6 2.1 100.0
Northern Hungary 93.2 0.2 1.2 5.4 100.0
Borsod-Abaúj-Zemplén 95.4 0.3 0.8 3.5 100.0
Heves 88.4 – 1.7 9.8 100.0
Nógrád 93.0 – 2.1 4.9 100.0
Northern Great Plain 93.0 0.8 1.5 4.7 100.0
Hajdú-Bihar 97.4 – 0.6 2.0 100.0
Jász-Nagykun-Szolnok 92.7 – 1.0 6.4 100.0
Szabolcs-Szatmár-Bereg 90.4 1.8 2.3 5.5 100.0
Southern Great Plain 90.4 1.2 2.5 5.8 100.0
Bács-Kiskun 90.2 2.1 1.9 5.8 100.0
Békés 86.3 1.1 3.7 8.9 100.0
Csongrád-Csanád 94.7 0.2 2.3 2.8 100.0
Total 90.8 0.8 1.6 6.9 100.0
Male
Central Hungary 91.7 1.0 1.1 6.2 100.0
Budapest 94.4 1.1 – 4.5 100.0
Pest 87.9 0.9 2.6 8.5 100.0
Central Transdanubia 89.8 0.4 1.2 8.5 100.0
Fejér 93.4 1.2 2.4 3.0 100.0
Komárom-Esztergom 85.2 – – 14.8 100.0
Veszprém 90.5 – 1.1 8.4 100.0
Western Transdanubia 85.9 – 3.4 10.7 100.0
Győr-Moson-Sopron 89.6 – 1.4 9.0 100.0
Vas 83.9 – 0.6 15.5 100.0
Zala 81.1 – 9.5 9.4 100.0
Southern Transdanubia 92.8 0.1 0.8 6.3 100.0
Baranya 88.0 – 0.5 11.5 100.0
Somogy 96.2 – – 3.8 100.0
Tolna 94.4 0.5 2.3 2.7 100.0
Northern Hungary 94.8 0.3 0.5 4.5 100.0
Borsod-Abaúj-Zemplén 96.8 0.4 0.5 2.2 100.0
Heves 91.5 – 0.7 7.8 100.0
Nógrád 91.9 – – 8.1 100.0
Northern Great Plain 94.6 0.5 1.1 3.8 100.0
Hajdú-Bihar 97.2 – – 2.8 100.0
Jász-Nagykun-Szolnok 96.8 – 1.6 1.6 100.0
Szabolcs-Szatmár-Bereg 91.6 1.1 1.5 5.9 100.0
Southern Great Plain 88.3 1.0 3.6 7.1 100.0
Bács-Kiskun 90.4 0.6 3.6 5.4 100.0
Békés 81.3 2.0 3.4 13.2 100.0
Csongrád-Csanád 92.9 0.5 3.8 2.9 100.0
Total 91.6 0.6 1.5 6.3 100.0
Female
Central Hungary 87.9 1.1 0.3 10.8 100.0
Budapest 87.0 1.1 – 11.9 100.0
Pest 89.1 1.1 0.6 9.2 100.0
Central Transdanubia 90.6 1.2 1.1 7.1 100.0
Fejér 92.8 – 3.2 4.1 100.0
Komárom-Esztergom 86.0 3.5 – 10.5 100.0
Veszprém 93.3 – – 6.7 100.0
Western Transdanubia 88.2 – 1.9 9.9 100.0
Győr-Moson-Sopron 84.5 – – 15.5 100.0
Vas 84.8 – 3.9 11.3 100.0
Zala 96.8 – 3.2 – 100.0
Southern Transdanubia 86.4 2.0 3.6 8.1 100.0
Baranya 91.9 – – 8.1 100.0
Somogy 81.8 3.2 2.6 12.4 100.0
Tolna 86.5 2.5 9.7 1.3 100.0
Northern Hungary 91.0 – 2.3 6.7 100.0
Borsod-Abaúj-Zemplén 93.2 – 1.2 5.6 100.0
Heves 84.9 – 2.9 12.2 100.0
Nógrád 94.7 – 5.3 – 100.0
Northern Great Plain 90.9 1.3 2.0 5.8 100.0
Hajdú-Bihar 97.7 – 1.3 0.9 100.0
Jász-Nagykun-Szolnok 85.9 – – 14.1 100.0
Szabolcs-Szatmár-Bereg 89.0 2.7 3.2 5.1 100.0
Southern Great Plain 92.7 1.5 1.3 4.5 100.0
Bács-Kiskun 90.0 3.7 – 6.3 100.0
Békés 92.3 – 3.9 3.7 100.0
Csongrád-Csanád 96.5 – 0.8 2.7 100.0
Total 89.8 1.1 1.6 7.6 100.0
The administrative classification of residence
Total
town 91.0 1.1 – 7.9 100.0
village 90.1 1.0 0.1 7.7 100.0
Budapest 91.3 0.5 2.3 5.9 100.0
Total 90.8 0.8 1.6 6.9 100.0
Male
town 94.4 1.1 – 4.5 100.0
village 91.2 0.6 1.2 7.1 100.0
Budapest 91.3 0.4 2.3 6.0 100.0
Total 91.6 0.6 1.5 6.3 100.0
Female
town 87.0 1.1 – 11.9 100.0
village 88.7 1.5 1.3 8.5 100.0
Budapest 91.3 0.7 2.3 5.7 100.0
Total 89.8 1.1 1.6 7.6 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011