9.4.3.3. People aged 15–29 doing voluntary work by the usefulness of the voluntary work*(2/2)

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Denomination The voluntary work was useful for the respondent because of Total
getting work experience getting professional knowldge networking another reason The voluntary work was not useful for the respondent
%
Age group
Total
15–19 33.8 6.3 41.9 1.5 16.5 100.0
20–24 33.5 10.9 37.6 3.1 14.8 100.0
25–29 27.9 13.2 41.9 3.6 13.3 100.0
Total 31.9 9.9 40.5 2.7 15.0 100.0
Male
15–19 30.8 7.3 39.7 1.2 21.1 100.0
20–24 35.6 11.7 34.2 2.2 16.3 100.0
25–29 23.5 14.0 42.5 5.3 14.7 100.0
Total 30.1 10.7 38.8 2.7 17.7 100.0
Female
15–19 36.3 5.5 43.8 1.8 12.5 100.0
20–24 32.0 10.4 40.2 3.7 13.7 100.0
25–29 31.3 12.6 41.5 2.3 12.3 100.0
Total 33.3 9.3 41.9 2.6 12.8 100.0
Educational attainment
Total
At most 8 grades of primary school 33.7 6.1 42.7 1.2 16.2 100.0
Vocational school, apprentice school 31.2 4.6 43.0 5.5 15.7 100.0
Secondary general school 35.1 12.3 37.3 1.6 13.6 100.0
Secondary vocational school 27.6 7.7 42.2 4.2 18.4 100.0
College, university, PhD, DLA 27.2 16.1 39.4 4.9 12.4 100.0
Total 31.9 9.9 40.5 2.7 15.0 100.0
Male
At most 8 grades of primary school 31.6 7.3 39.3 0.3 21.6 100.0
Vocational school, apprentice school 27.0 5.1 42.0 7.6 18.3 100.0
Secondary general school 33.9 15.2 35.1 2.3 13.5 100.0
Secondary vocational school 27.4 7.1 46.2 2.3 17.0 100.0
College, university, PhD, DLA 25.4 18.0 34.7 6.3 15.6 100.0
Total 30.1 10.7 38.8 2.7 17.7 100.0
Female
At most 8 grades of primary school 35.6 5.1 45.7 2.0 11.6 100.0
Vocational school, apprentice school 42.1 3.4 45.6 – 8.8 100.0
Secondary general school 35.9 10.5 38.7 1.2 13.7 100.0
Secondary vocational school 27.7 8.3 38.2 6.1 19.7 100.0
College, university, PhD, DLA 28.2 15.1 42.0 4.1 10.6 100.0
Total 33.3 9.3 41.9 2.6 12.8 100.0
Economic activity
Total
employed 29.4 11.0 40.4 3.7 15.5 100.0
unemployed 35.4 7.3 26.0 8.4 23.0 100.0
inactive 33.3 9.4 41.4 1.7 14.2 100.0
Total 31.9 9.9 40.5 2.7 15.0 100.0
Male
employed 27.8 11.0 39.6 3.8 17.8 100.0
unemployed 39.3 8.6 19.4 8.5 24.2 100.0
inactive 31.2 10.6 39.4 1.7 17.2 100.0
Total 30.1 10.7 38.8 2.7 17.7 100.0
Female
employed 30.8 11.0 41.1 3.6 13.5 100.0
unemployed 32.0 6.3 31.6 8.3 21.9 100.0
inactive 34.8 8.5 42.9 1.8 12.0 100.0
Total 33.3 9.3 41.9 2.6 12.8 100.0
County and region of residence
Total
Central Hungary 27.7 11.6 35.5 5.3 19.9 100.0
Budapest 23.1 14.1 29.5 8.5 24.7 100.0
Pest 34.4 7.9 44.3 0.6 12.9 100.0
Central Transdanubia 38.0 6.3 36.3 1.0 18.4 100.0
Fejér 42.8 9.1 37.3 – 10.8 100.0
Komárom-Esztergom 23.4 0.7 38.3 1.7 35.9 100.0
Veszprém 53.3 9.6 29.1 2.7 5.4 100.0
Western Transdanubia 45.2 10.0 31.0 2.0 11.8 100.0
Győr-Moson-Sopron 40.7 13.4 35.7 – 10.1 100.0
Vas 41.3 5.0 34.3 5.1 14.4 100.0
Zala 61.6 13.1 15.2 – 10.2 100.0
Southern Transdanubia 29.7 7.2 53.4 – 9.7 100.0
Baranya 28.5 5.9 56.7 – 8.9 100.0
Somogy 32.0 9.5 45.6 – 12.9 100.0
Tolna 30.0 8.5 54.0 – 7.4 100.0
Northern Hungary 37.8 8.5 38.7 2.5 12.5 100.0
Borsod-Abaúj-Zemplén 40.4 7.1 37.4 4.2 11.0 100.0
Heves 42.8 7.7 29.9 – 19.5 100.0
Nógrád 19.1 15.2 59.0 – 6.7 100.0
Northern Great Plain 30.2 13.7 39.4 2.2 14.5 100.0
Hajdú-Bihar 37.2 21.2 27.5 3.7 10.4 100.0
Jász-Nagykun-Szolnok 31.3 13.1 37.7 2.9 15.0 100.0
Szabolcs-Szatmár-Bereg 22.9 7.8 51.8 – 17.5 100.0
Southern Great Plain 23.0 8.3 51.1 3.1 14.5 100.0
Bács-Kiskun 19.8 6.2 60.3 2.1 11.6 100.0
Békés 29.9 2.0 40.1 3.5 24.5 100.0
Csongrád-Csanád 22.2 14.9 47.7 4.0 11.2 100.0
Total 31.9 9.9 40.5 2.7 15.0 100.0
Male
Central Hungary 28.5 13.7 25.5 6.6 25.7 100.0
Budapest 20.3 17.9 16.5 11.5 33.9 100.0
Pest 39.6 8.2 37.6 – 14.6 100.0
Central Transdanubia 32.1 7.3 29.4 2.2 28.9 100.0
Fejér 39.9 12.6 30.5 – 16.9 100.0
Komárom-Esztergom 16.1 – 28.1 3.6 52.2 100.0
Veszprém 43.7 5.9 28.7 7.1 14.5 100.0
Western Transdanubia 38.7 13.1 30.3 1.8 16.0 100.0
Győr-Moson-Sopron 19.7 13.1 50.0 – 17.2 100.0
Vas 45.6 9.7 26.7 5.3 12.6 100.0
Zala 62.7 18.2 – – 19.0 100.0
Southern Transdanubia 30.4 6.8 54.1 – 8.7 100.0
Baranya 26.9 8.7 57.2 – 7.2 100.0
Somogy 30.2 6.7 51.8 – 11.4 100.0
Tolna 44.3 – 46.3 – 9.5 100.0
Northern Hungary 37.4 7.1 37.8 1.2 16.5 100.0
Borsod-Abaúj-Zemplén 40.4 4.3 40.4 2.2 12.7 100.0
Heves 39.9 3.4 26.1 – 30.6 100.0
Nógrád 23.2 22.5 47.6 – 6.8 100.0
Northern Great Plain 26.1 16.0 42.5 0.5 14.9 100.0
Hajdú-Bihar 34.0 22.5 30.8 1.7 11.0 100.0
Jász-Nagykun-Szolnok 21.4 18.3 39.4 – 20.9 100.0
Szabolcs-Szatmár-Bereg 25.2 7.6 56.5 – 10.8 100.0
Southern Great Plain 22.3 5.7 57.6 4.7 9.7 100.0
Bács-Kiskun 25.3 5.7 62.7 3.5 2.8 100.0
Békés 28.3 – 41.7 2.4 27.6 100.0
Csongrád-Csanád 11.9 11.0 64.7 8.8 3.7 100.0
Total 30.1 10.7 38.8 2.7 17.7 100.0
Female
Central Hungary 27.1 9.9 43.2 4.3 15.6 100.0
Budapest 25.2 11.3 38.9 6.3 18.2 100.0
Pest 30.0 7.7 49.8 1.1 11.4 100.0
Central Transdanubia 42.9 5.5 42.2 – 9.4 100.0
Fejér 45.4 5.9 43.5 – 5.2 100.0
Komárom-Esztergom 30.0 1.4 47.5 – 21.0 100.0
Veszprém 59.0 11.7 29.3 – – 100.0
Western Transdanubia 50.8 7.3 31.6 2.1 8.1 100.0
Győr-Moson-Sopron 60.4 13.8 22.4 – 3.4 100.0
Vas 38.2 1.6 39.6 5.0 15.7 100.0
Zala 60.2 7.1 32.7 – – 100.0
Southern Transdanubia 29.2 7.5 52.8 – 10.5 100.0
Baranya 29.9 3.6 56.4 – 10.2 100.0
Somogy 33.4 11.7 40.9 – 14.0 100.0
Tolna 20.1 14.4 59.4 – 6.0 100.0
Northern Hungary 38.2 9.5 39.5 3.5 9.3 100.0
Borsod-Abaúj-Zemplén 40.3 9.1 35.3 5.5 9.7 100.0
Heves 45.4 11.5 33.2 – 9.8 100.0
Nógrád 15.2 8.1 70.1 – 6.6 100.0
Northern Great Plain 33.6 11.8 36.9 3.6 14.1 100.0
Hajdú-Bihar 39.5 20.2 25.2 5.1 10.0 100.0
Jász-Nagykun-Szolnok 40.9 8.0 36.1 5.8 9.2 100.0
Szabolcs-Szatmár-Bereg 21.2 8.0 48.2 – 22.6 100.0
Southern Great Plain 23.6 10.2 46.2 1.8 18.2 100.0
Bács-Kiskun 15.1 6.5 58.2 0.9 19.4 100.0
Békés 31.6 4.0 38.4 4.6 21.4 100.0
Csongrád-Csanád 27.9 17.0 38.5 1.3 15.3 100.0
Total 33.3 9.3 41.9 2.6 12.8 100.0
The administrative classification of residence
Total
town 23.1 14.1 29.5 8.5 24.7 100.0
village 32.2 7.6 42.5 1.4 16.3 100.0
Budapest 34.0 10.4 42.1 1.9 11.6 100.0
Total 31.9 9.9 40.5 2.7 15.0 100.0
Male
town 20.3 17.9 16.5 11.5 33.9 100.0
village 33.4 7.8 37.3 1.6 19.9 100.0
Budapest 30.2 10.9 45.6 1.4 11.9 100.0
Total 30.1 10.7 38.8 2.7 17.7 100.0
Female
town 25.2 11.3 38.9 6.3 18.2 100.0
village 31.1 7.4 47.1 1.4 13.0 100.0
Budapest 36.8 10.0 39.5 2.4 11.3 100.0
Total 33.3 9.3 41.9 2.6 12.8 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011