Age group |
Total |
|
|
|
|
|
|
15–19 |
91.2 |
28.1 |
10.9 |
49.5 |
8.8 |
100.0 |
20–24 |
89.2 |
18.4 |
12.6 |
57.0 |
10.8 |
100.0 |
25–29 |
93.6 |
25.0 |
12.8 |
54.4 |
6.4 |
100.0 |
Total |
91.0 |
23.6 |
12.0 |
53.6 |
9.0 |
100.0 |
Male |
|
|
|
|
|
|
15–19 |
92.3 |
28.7 |
12.5 |
48.2 |
7.7 |
100.0 |
20–24 |
90.0 |
18.2 |
12.8 |
58.6 |
10.0 |
100.0 |
25–29 |
94.7 |
24.5 |
14.0 |
54.9 |
5.3 |
100.0 |
Total |
92.0 |
23.6 |
13.0 |
53.9 |
8.0 |
100.0 |
Female |
|
|
|
|
|
|
15–19 |
90.2 |
27.6 |
9.4 |
50.6 |
9.8 |
100.0 |
20–24 |
88.4 |
18.6 |
12.3 |
55.5 |
11.6 |
100.0 |
25–29 |
92.5 |
25.5 |
11.8 |
53.9 |
7.5 |
100.0 |
Total |
90.1 |
23.6 |
11.2 |
53.3 |
9.9 |
100.0 |
Educational attainment |
Total |
|
|
|
|
|
|
At most 8 grades of primary school |
91.4 |
27.5 |
11.1 |
49.8 |
8.6 |
100.0 |
Vocational school, apprentice school |
85.1 |
23.3 |
17.8 |
44.0 |
14.9 |
100.0 |
Secondary general school |
89.0 |
19.9 |
10.2 |
56.8 |
11.0 |
100.0 |
Secondary vocational school |
94.7 |
23.3 |
15.2 |
55.8 |
5.3 |
100.0 |
College, university, PhD, DLA |
93.8 |
26.0 |
13.3 |
54.1 |
6.2 |
100.0 |
Total |
91.0 |
23.6 |
12.0 |
53.6 |
9.0 |
100.0 |
Male |
|
|
|
|
|
|
At most 8 grades of primary school |
91.6 |
26.3 |
13.5 |
49.4 |
8.4 |
100.0 |
Vocational school, apprentice school |
86.7 |
24.6 |
20.6 |
41.6 |
13.3 |
100.0 |
Secondary general school |
90.5 |
21.9 |
11.4 |
55.2 |
9.5 |
100.0 |
Secondary vocational school |
96.7 |
22.6 |
11.5 |
61.8 |
3.3 |
100.0 |
College, university, PhD, DLA |
95.1 |
22.6 |
13.5 |
59.0 |
4.9 |
100.0 |
Total |
92.0 |
23.6 |
13.0 |
53.9 |
8.0 |
100.0 |
Female |
|
|
|
|
|
|
At most 8 grades of primary school |
91.2 |
28.5 |
8.9 |
50.1 |
8.8 |
100.0 |
Vocational school, apprentice school |
82.3 |
21.1 |
12.7 |
48.5 |
17.7 |
100.0 |
Secondary general school |
87.8 |
18.2 |
9.1 |
58.2 |
12.2 |
100.0 |
Secondary vocational school |
92.6 |
24.1 |
19.2 |
49.3 |
7.4 |
100.0 |
College, university, PhD, DLA |
93.0 |
28.0 |
13.1 |
51.3 |
7.0 |
100.0 |
Total |
90.1 |
23.6 |
11.2 |
53.3 |
9.9 |
100.0 |
Economic activity |
Total |
|
|
|
|
|
|
employed |
90.7 |
23.5 |
11.9 |
54.8 |
9.3 |
100.0 |
unemployed |
87.7 |
12.0 |
7.5 |
68.3 |
12.3 |
100.0 |
inactive |
91.2 |
24.0 |
12.2 |
52.5 |
8.8 |
100.0 |
Total |
91.0 |
23.6 |
12.0 |
53.6 |
9.0 |
100.0 |
Male |
|
|
|
|
|
|
employed |
91.5 |
22.5 |
10.9 |
57.2 |
8.5 |
100.0 |
unemployed |
95.6 |
9.7 |
9.4 |
76.5 |
4.4 |
100.0 |
inactive |
92.2 |
24.7 |
14.4 |
51.1 |
7.8 |
100.0 |
Total |
92.0 |
23.6 |
13.0 |
53.9 |
8.0 |
100.0 |
Female |
|
|
|
|
|
|
employed |
90.0 |
24.3 |
12.7 |
52.5 |
10.0 |
100.0 |
unemployed |
77.7 |
14.8 |
5.1 |
57.9 |
22.3 |
100.0 |
inactive |
90.4 |
23.4 |
10.4 |
53.7 |
9.6 |
100.0 |
Total |
90.1 |
23.6 |
11.2 |
53.3 |
9.9 |
100.0 |
Region of residence |
Total |
|
|
|
|
|
|
Budapest |
91.8 |
13.9 |
8.1 |
65.0 |
8.2 |
100.0 |
Pest |
91.6 |
17.0 |
18.7 |
54.0 |
8.4 |
100.0 |
Central Transdanubia |
95.6 |
35.1 |
13.3 |
45.6 |
4.4 |
100.0 |
Western Transdanubia |
90.6 |
46.1 |
11.6 |
32.9 |
9.4 |
100.0 |
Southern Transdanubia |
89.0 |
28.1 |
6.2 |
54.0 |
11.0 |
100.0 |
Northern Hungary |
84.4 |
19.6 |
14.0 |
50.1 |
15.6 |
100.0 |
Northern Great Plain |
97.3 |
24.4 |
15.5 |
56.1 |
2.7 |
100.0 |
Southern Great Plain |
85.6 |
20.4 |
7.7 |
56.6 |
14.4 |
100.0 |
Total |
91.0 |
23.6 |
12.0 |
53.6 |
9.0 |
100.0 |
Male |
|
|
|
|
|
|
Budapest |
92.6 |
15.0 |
6.7 |
67.2 |
7.4 |
100.0 |
Pest |
95.0 |
16.0 |
22.6 |
55.3 |
5.0 |
100.0 |
Central Transdanubia |
97.7 |
30.4 |
16.0 |
49.7 |
2.3 |
100.0 |
Western Transdanubia |
93.5 |
46.7 |
11.9 |
34.9 |
6.5 |
100.0 |
Southern Transdanubia |
86.8 |
19.7 |
9.0 |
57.6 |
13.2 |
100.0 |
Northern Hungary |
87.2 |
21.6 |
13.2 |
52.0 |
12.8 |
100.0 |
Northern Great Plain |
96.4 |
27.6 |
17.7 |
49.2 |
3.6 |
100.0 |
Southern Great Plain |
84.3 |
21.1 |
6.0 |
55.9 |
15.7 |
100.0 |
Total |
92.0 |
23.6 |
13.0 |
53.9 |
8.0 |
100.0 |
Female |
|
|
|
|
|
|
Budapest |
91.3 |
13.0 |
9.2 |
63.3 |
8.7 |
100.0 |
Pest |
88.3 |
17.9 |
15.0 |
52.7 |
11.7 |
100.0 |
Central Transdanubia |
93.8 |
39.1 |
10.9 |
42.2 |
6.2 |
100.0 |
Western Transdanubia |
87.9 |
45.6 |
11.3 |
31.0 |
12.1 |
100.0 |
Southern Transdanubia |
90.4 |
33.1 |
4.6 |
51.8 |
9.6 |
100.0 |
Northern Hungary |
82.1 |
18.0 |
14.7 |
48.6 |
17.9 |
100.0 |
Northern Great Plain |
98.2 |
21.1 |
13.3 |
63.0 |
1.8 |
100.0 |
Southern Great Plain |
87.0 |
19.8 |
9.4 |
57.2 |
13.0 |
100.0 |
Total |
90.1 |
23.6 |
11.2 |
53.3 |
9.9 |
100.0 |
The administrative classification of residence |
Total |
|
|
|
|
|
|
town |
91.1 |
25.8 |
12.7 |
51.6 |
8.9 |
100.0 |
village |
90.3 |
25.9 |
13.3 |
49.7 |
9.7 |
100.0 |
Budapest |
91.8 |
13.9 |
8.1 |
65.0 |
8.2 |
100.0 |
Total |
91.0 |
23.6 |
12.0 |
53.6 |
9.0 |
100.0 |
Male |
|
|
|
|
|
|
town |
92.1 |
25.2 |
14.6 |
51.1 |
7.9 |
100.0 |
village |
91.6 |
25.9 |
14.0 |
50.7 |
8.4 |
100.0 |
Budapest |
92.6 |
15.0 |
6.7 |
67.2 |
7.4 |
100.0 |
Total |
92.0 |
23.6 |
13.0 |
53.9 |
8.0 |
100.0 |
Female |
|
|
|
|
|
|
town |
90.2 |
26.4 |
11.0 |
52.1 |
9.8 |
100.0 |
village |
89.1 |
26.0 |
12.7 |
48.8 |
10.9 |
100.0 |
Budapest |
91.3 |
13.0 |
9.2 |
63.3 |
8.7 |
100.0 |
Total |
90.1 |
23.6 |
11.2 |
53.3 |
9.9 |
100.0 |