Age group |
Total |
|
|
|
|
|
|
|
15–19 |
7.7 |
26.5 |
34.4 |
13.4 |
5.2 |
12.7 |
100.0 |
20–24 |
7.9 |
30.7 |
31.1 |
13.9 |
6.9 |
9.6 |
100.0 |
25–29 |
10.9 |
31.0 |
28.5 |
13.0 |
7.6 |
8.9 |
100.0 |
Total |
9.7 |
30.7 |
29.6 |
13.4 |
7.2 |
9.3 |
100.0 |
Male |
|
|
|
|
|
|
|
15–19 |
9.3 |
22.6 |
36.0 |
8.5 |
6.1 |
17.6 |
100.0 |
20–24 |
8.1 |
32.3 |
30.8 |
12.5 |
7.5 |
8.8 |
100.0 |
25–29 |
12.9 |
32.2 |
27.7 |
11.7 |
7.5 |
8.0 |
100.0 |
Total |
11.0 |
31.8 |
29.2 |
11.8 |
7.5 |
8.8 |
100.0 |
Female |
|
|
|
|
|
|
|
15–19 |
4.8 |
33.8 |
31.6 |
22.5 |
3.6 |
3.8 |
100.0 |
20–24 |
7.5 |
28.7 |
31.4 |
15.7 |
6.0 |
10.5 |
100.0 |
25–29 |
8.7 |
29.7 |
29.5 |
14.6 |
7.6 |
10.0 |
100.0 |
Total |
8.2 |
29.5 |
30.2 |
15.2 |
7.0 |
10.0 |
100.0 |
Educational attainment |
Total |
|
|
|
|
|
|
|
At most 8 grades of primary school |
3.1 |
13.6 |
25.0 |
17.5 |
9.9 |
31.0 |
100.0 |
Vocational school, apprentice school |
6.4 |
33.6 |
32.9 |
13.6 |
6.9 |
6.7 |
100.0 |
Secondary general school |
6.4 |
30.8 |
32.0 |
13.8 |
9.8 |
7.2 |
100.0 |
Secondary vocational school |
9.5 |
35.0 |
32.1 |
11.7 |
5.9 |
5.8 |
100.0 |
College, university, PhD, DLA |
21.4 |
35.1 |
24.5 |
11.7 |
4.9 |
2.4 |
100.0 |
Total |
9.7 |
30.7 |
29.6 |
13.4 |
7.2 |
9.3 |
100.0 |
Male |
|
|
|
|
|
|
|
At most 8 grades of primary school |
5.1 |
15.2 |
24.5 |
18.6 |
9.1 |
27.5 |
100.0 |
Vocational school, apprentice school |
6.2 |
34.8 |
34.3 |
12.1 |
6.9 |
5.7 |
100.0 |
Secondary general school |
9.4 |
30.6 |
30.8 |
11.5 |
11.6 |
6.1 |
100.0 |
Secondary vocational school |
10.0 |
37.1 |
32.2 |
10.1 |
5.4 |
5.2 |
100.0 |
College, university, PhD, DLA |
29.1 |
36.8 |
18.8 |
7.0 |
5.8 |
2.6 |
100.0 |
Total |
11.0 |
31.8 |
29.2 |
11.8 |
7.5 |
8.8 |
100.0 |
Female |
|
|
|
|
|
|
|
At most 8 grades of primary school |
– |
11.1 |
25.8 |
15.6 |
11.1 |
36.3 |
100.0 |
Vocational school, apprentice school |
6.6 |
31.1 |
29.8 |
16.9 |
6.8 |
8.8 |
100.0 |
Secondary general school |
3.8 |
31.0 |
33.1 |
15.7 |
8.2 |
8.2 |
100.0 |
Secondary vocational school |
8.9 |
32.3 |
31.9 |
13.6 |
6.7 |
6.6 |
100.0 |
College, university, PhD, DLA |
16.0 |
33.9 |
28.5 |
15.1 |
4.2 |
2.2 |
100.0 |
Total |
8.2 |
29.5 |
30.2 |
15.2 |
7.0 |
10.0 |
100.0 |
Economic activity |
Total |
|
|
|
|
|
|
|
employed |
10.5 |
32.6 |
30.2 |
12.4 |
6.5 |
7.7 |
100.0 |
unemployed |
4.8 |
13.9 |
24.0 |
18.1 |
13.0 |
26.1 |
100.0 |
inactive |
5.0 |
21.2 |
27.1 |
19.7 |
10.8 |
16.2 |
100.0 |
Total |
9.7 |
30.7 |
29.6 |
13.4 |
7.2 |
9.3 |
100.0 |
Male |
|
|
|
|
|
|
|
employed |
11.7 |
33.6 |
29.5 |
11.1 |
6.8 |
7.3 |
100.0 |
unemployed |
4.0 |
8.1 |
27.6 |
19.1 |
13.8 |
27.4 |
100.0 |
inactive |
0.8 |
7.6 |
19.1 |
24.7 |
19.1 |
28.7 |
100.0 |
Total |
11.0 |
31.8 |
29.2 |
11.8 |
7.5 |
8.8 |
100.0 |
Female |
|
|
|
|
|
|
|
employed |
8.9 |
31.2 |
31.1 |
14.3 |
6.2 |
8.4 |
100.0 |
unemployed |
6.2 |
24.7 |
17.5 |
16.3 |
11.6 |
23.7 |
100.0 |
inactive |
5.7 |
23.6 |
28.4 |
18.9 |
9.4 |
14.0 |
100.0 |
Total |
8.2 |
29.5 |
30.2 |
15.2 |
7.0 |
10.0 |
100.0 |
Region of residence |
Total |
|
|
|
|
|
|
|
Budapest |
19.5 |
35.2 |
28.4 |
10.5 |
3.7 |
2.6 |
100.0 |
Pest |
14.5 |
33.5 |
32.3 |
13.4 |
2.5 |
3.8 |
100.0 |
Central Transdanubia |
4.7 |
36.6 |
35.0 |
12.9 |
4.8 |
5.9 |
100.0 |
Western Transdanubia |
9.4 |
34.2 |
25.8 |
12.5 |
9.3 |
8.7 |
100.0 |
Southern Transdanubia |
8.5 |
26.5 |
27.6 |
13.1 |
9.9 |
14.5 |
100.0 |
Northern Hungary |
4.4 |
23.3 |
29.3 |
17.1 |
9.2 |
16.7 |
100.0 |
Northern Great Plain |
4.9 |
24.3 |
30.6 |
15.0 |
9.2 |
16.0 |
100.0 |
Southern Great Plain |
11.3 |
33.9 |
27.4 |
12.0 |
9.6 |
5.7 |
100.0 |
Total |
9.7 |
30.7 |
29.6 |
13.4 |
7.2 |
9.3 |
100.0 |
Male |
|
|
|
|
|
|
|
Budapest |
23.1 |
32.7 |
29.1 |
6.7 |
4.3 |
4.2 |
100.0 |
Pest |
14.9 |
29.7 |
37.1 |
12.4 |
2.5 |
3.4 |
100.0 |
Central Transdanubia |
6.1 |
42.1 |
30.1 |
12.2 |
3.7 |
5.8 |
100.0 |
Western Transdanubia |
8.9 |
37.3 |
23.6 |
13.5 |
9.7 |
7.0 |
100.0 |
Southern Transdanubia |
9.1 |
28.4 |
31.6 |
7.5 |
9.8 |
13.6 |
100.0 |
Northern Hungary |
4.7 |
27.1 |
27.3 |
15.5 |
10.1 |
15.4 |
100.0 |
Northern Great Plain |
6.0 |
25.3 |
30.2 |
14.4 |
10.3 |
13.9 |
100.0 |
Southern Great Plain |
14.2 |
34.7 |
24.7 |
11.5 |
9.1 |
5.9 |
100.0 |
Total |
11.0 |
31.8 |
29.2 |
11.8 |
7.5 |
8.8 |
100.0 |
Female |
|
|
|
|
|
|
|
Budapest |
15.1 |
38.3 |
27.5 |
15.2 |
3.1 |
0.7 |
100.0 |
Pest |
14.1 |
37.9 |
26.7 |
14.6 |
2.4 |
4.3 |
100.0 |
Central Transdanubia |
3.1 |
30.2 |
40.8 |
13.7 |
6.2 |
5.9 |
100.0 |
Western Transdanubia |
10.0 |
30.6 |
28.5 |
11.4 |
8.8 |
10.8 |
100.0 |
Southern Transdanubia |
7.8 |
24.1 |
22.6 |
19.9 |
10.0 |
15.6 |
100.0 |
Northern Hungary |
4.2 |
18.8 |
31.7 |
19.0 |
8.2 |
18.2 |
100.0 |
Northern Great Plain |
3.5 |
23.0 |
31.2 |
15.8 |
7.9 |
18.6 |
100.0 |
Southern Great Plain |
7.9 |
32.9 |
30.8 |
12.6 |
10.3 |
5.5 |
100.0 |
Total |
8.2 |
29.5 |
30.2 |
15.2 |
7.0 |
10.0 |
100.0 |
The administrative classification of residence |
Total |
|
|
|
|
|
|
|
town |
9.8 |
33.9 |
27.8 |
12.7 |
7.7 |
8.1 |
100.0 |
village |
6.0 |
25.6 |
32.1 |
15.2 |
8.1 |
13.1 |
100.0 |
Budapest |
19.5 |
35.2 |
28.4 |
10.5 |
3.7 |
2.6 |
100.0 |
Total |
9.7 |
30.7 |
29.6 |
13.4 |
7.2 |
9.3 |
100.0 |
Male |
|
|
|
|
|
|
|
town |
11.0 |
33.7 |
27.2 |
11.8 |
8.6 |
7.8 |
100.0 |
village |
6.7 |
29.4 |
31.3 |
13.7 |
7.4 |
11.5 |
100.0 |
Budapest |
23.1 |
32.7 |
29.1 |
6.7 |
4.3 |
4.2 |
100.0 |
Total |
11.0 |
31.8 |
29.2 |
11.8 |
7.5 |
8.8 |
100.0 |
Female |
|
|
|
|
|
|
|
town |
8.5 |
34.1 |
28.6 |
13.6 |
6.6 |
8.6 |
100.0 |
village |
5.1 |
20.9 |
33.0 |
17.0 |
8.9 |
15.1 |
100.0 |
Budapest |
15.1 |
38.3 |
27.5 |
15.2 |
3.1 |
0.7 |
100.0 |
Total |
8.2 |
29.5 |
30.2 |
15.2 |
7.0 |
10.0 |
100.0 |