Denomination | The respondnet did not continue the education because | Total | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
his/her education is enough | it was too difficult | he/she was not admitted where he/she applied to | he/she did not find a study which fit needs or interest | costs of studying would be too high | he/she wanted to work | of family reasons | of the respondent's health condition | of other reasons | ||
% |
Age group | ||||||||||
Total | ||||||||||
15–19 | 18.0 | 15.9 | 7.2 | 3.6 | 1.8 | 33.6 | 12.2 | 2.8 | 4.7 | 100.0 |
20–24 | 26.7 | 9.5 | 3.5 | 3.1 | 3.6 | 39.2 | 10.1 | 1.6 | 2.7 | 100.0 |
25–29 | 26.2 | 6.9 | 2.9 | 2.9 | 3.5 | 45.8 | 8.6 | 2.3 | 0.9 | 100.0 |
30–34 | 25.8 | 6.3 | 3.3 | 2.3 | 2.8 | 47.5 | 9.7 | 1.2 | 1.2 | 100.0 |
Total | 25.9 | 7.6 | 3.3 | 2.8 | 3.2 | 44.3 | 9.5 | 1.7 | 1.6 | 100.0 |
Male | ||||||||||
15–19 | 20.1 | 14.8 | 8.5 | 4.1 | – | 38.4 | 8.5 | 2.7 | 3.0 | 100.0 |
20–24 | 29.8 | 10.1 | 3.1 | 2.9 | 3.0 | 41.9 | 4.7 | 2.1 | 2.3 | 100.0 |
25–29 | 27.8 | 8.1 | 1.8 | 2.5 | 3.2 | 48.9 | 4.9 | 2.1 | 0.7 | 100.0 |
30–34 | 27.5 | 6.9 | 1.7 | 1.8 | 2.1 | 52.4 | 4.7 | 1.5 | 1.3 | 100.0 |
Total | 28.0 | 8.4 | 2.3 | 2.4 | 2.6 | 47.8 | 4.9 | 1.9 | 1.4 | 100.0 |
Female | ||||||||||
15–19 | 15.3 | 17.4 | 5.6 | 3.0 | 4.2 | 27.5 | 17.1 | 2.8 | 6.9 | 100.0 |
20–24 | 22.5 | 8.5 | 4.1 | 3.4 | 4.5 | 35.5 | 17.4 | 1.0 | 3.2 | 100.0 |
25–29 | 24.2 | 5.5 | 4.2 | 3.4 | 3.8 | 42.2 | 13.1 | 2.4 | 1.1 | 100.0 |
30–34 | 23.6 | 5.5 | 5.3 | 2.9 | 3.6 | 41.4 | 15.9 | 0.7 | 1.1 | 100.0 |
Total | 23.3 | 6.6 | 4.6 | 3.2 | 3.9 | 39.7 | 15.3 | 1.5 | 1.8 | 100.0 |
Economic activity | ||||||||||
Total | ||||||||||
Employed | 27.7 | 6.0 | 3.0 | 2.5 | 3.2 | 50.1 | 5.9 | 0.5 | 1.1 | 100.0 |
Unemployed | 16.3 | 15.0 | 3.8 | 4.5 | 4.1 | 36.6 | 15.1 | 3.0 | 1.7 | 100.0 |
Inactive | 22.6 | 11.4 | 4.5 | 3.1 | 2.9 | 24.0 | 21.7 | 6.1 | 3.7 | 100.0 |
Total | 25.9 | 7.6 | 3.3 | 2.8 | 3.2 | 44.3 | 9.5 | 1.7 | 1.6 | 100.0 |
Male | ||||||||||
Employed | 29.1 | 6.7 | 1.9 | 2.2 | 2.5 | 51.5 | 4.3 | 0.7 | 1.0 | 100.0 |
Unemployed | 16.7 | 19.7 | 2.3 | 3.9 | 2.6 | 40.9 | 9.4 | 2.8 | 1.7 | 100.0 |
Inactive | 28.2 | 15.4 | 7.1 | 3.0 | 3.9 | 14.4 | 6.3 | 15.1 | 6.5 | 100.0 |
Total | 28.0 | 8.4 | 2.3 | 2.4 | 2.6 | 47.8 | 4.9 | 1.9 | 1.4 | 100.0 |
Female | ||||||||||
Employed | 25.3 | 4.7 | 5.0 | 3.0 | 4.4 | 47.7 | 8.5 | 0.2 | 1.2 | 100.0 |
Unemployed | 15.5 | 6.9 | 6.3 | 5.5 | 6.6 | 29.1 | 25.0 | 3.2 | 1.7 | 100.0 |
Inactive | 21.0 | 10.2 | 3.7 | 3.2 | 2.7 | 26.7 | 26.2 | 3.5 | 2.9 | 100.0 |
Total | 23.3 | 6.6 | 4.6 | 3.2 | 3.9 | 39.7 | 15.3 | 1.5 | 1.8 | 100.0 |
The administrative classification of residence | ||||||||||
Total | ||||||||||
Town | 24.9 | 7.1 | 3.3 | 2.3 | 3.3 | 47.5 | 8.2 | 1.7 | 1.7 | 100.0 |
Village | 30.6 | 8.4 | 2.4 | 2.2 | 2.5 | 40.5 | 10.1 | 1.9 | 1.4 | 100.0 |
Budapest | 15.2 | 7.2 | 6.3 | 6.1 | 5.1 | 44.6 | 12.3 | 1.2 | 2.0 | 100.0 |
Total | 25.9 | 7.6 | 3.3 | 2.8 | 3.2 | 44.3 | 9.5 | 1.7 | 1.6 | 100.0 |
Male | ||||||||||
Town | 27.2 | 7.9 | 2.6 | 2.3 | 2.7 | 50.7 | 3.4 | 1.6 | 1.6 | 100.0 |
Village | 32.9 | 8.9 | 1.9 | 2.0 | 1.6 | 44.3 | 4.8 | 2.4 | 1.1 | 100.0 |
Budapest | 15.1 | 8.7 | 2.7 | 4.4 | 5.6 | 48.9 | 10.5 | 1.8 | 2.2 | 100.0 |
Total | 28.0 | 8.4 | 2.3 | 2.4 | 2.6 | 47.8 | 4.9 | 1.9 | 1.4 | 100.0 |
Female | ||||||||||
Town | 22.1 | 6.0 | 4.2 | 2.4 | 4.0 | 43.4 | 14.2 | 1.8 | 1.8 | 100.0 |
Village | 27.7 | 7.8 | 3.0 | 2.4 | 3.6 | 35.5 | 16.9 | 1.4 | 1.8 | 100.0 |
Budapest | 15.2 | 5.6 | 10.1 | 7.9 | 4.6 | 40.0 | 14.3 | 0.5 | 1.8 | 100.0 |
Total | 23.3 | 6.6 | 4.6 | 3.2 | 3.9 | 39.7 | 15.3 | 1.5 | 1.8 | 100.0 |