Age group |
Total |
|
|
|
|
|
|
|
15–19 |
2.5 |
8.5 |
11.0 |
4.3 |
1.7 |
4.0 |
31.8 |
20–24 |
21.9 |
85.5 |
86.4 |
38.8 |
19.1 |
26.6 |
278.2 |
25–29 |
54.1 |
153.7 |
141.2 |
64.5 |
37.5 |
44.3 |
495.2 |
Total |
78.4 |
247.6 |
238.6 |
107.5 |
58.2 |
74.9 |
805.3 |
Male |
|
|
|
|
|
|
|
15–19 |
1.9 |
4.6 |
7.4 |
1.7 |
1.3 |
3.6 |
20.5 |
20–24 |
12.7 |
50.3 |
47.9 |
19.5 |
11.8 |
13.7 |
155.8 |
25–29 |
34.0 |
84.8 |
73.0 |
30.7 |
19.8 |
21.2 |
263.6 |
Total |
48.6 |
139.8 |
128.3 |
52.0 |
32.8 |
38.5 |
440.0 |
Female |
|
|
|
|
|
|
|
15–19 |
0.5 |
3.8 |
3.6 |
2.5 |
0.4 |
0.4 |
11.3 |
20–24 |
9.2 |
35.2 |
38.5 |
19.3 |
7.4 |
12.9 |
122.4 |
25–29 |
20.1 |
68.8 |
68.3 |
33.8 |
17.6 |
23.1 |
231.6 |
Total |
29.8 |
107.8 |
110.3 |
55.6 |
25.4 |
36.4 |
365.3 |
Educational attainment |
Total |
|
|
|
|
|
|
|
At most 8 grades of primary school |
3.7 |
16.3 |
30.0 |
20.9 |
11.9 |
37.1 |
119.9 |
Vocational school, apprentice school |
10.8 |
57.0 |
55.7 |
23.1 |
11.7 |
11.3 |
169.6 |
Secondary general school |
9.8 |
46.6 |
48.4 |
20.8 |
14.8 |
10.9 |
151.3 |
Secondary vocational school |
19.1 |
70.2 |
64.4 |
23.5 |
11.9 |
11.6 |
200.7 |
College, university, PhD, DLA |
35.1 |
57.5 |
40.1 |
19.2 |
8.0 |
3.9 |
163.8 |
Total |
78.4 |
247.6 |
238.6 |
107.5 |
58.2 |
74.9 |
805.3 |
Male |
|
|
|
|
|
|
|
At most 8 grades of primary school |
3.7 |
11.0 |
17.8 |
13.6 |
6.6 |
20.0 |
72.7 |
Vocational school, apprentice school |
7.2 |
40.1 |
39.6 |
14.0 |
8.0 |
6.6 |
115.4 |
Secondary general school |
6.7 |
22.0 |
22.1 |
8.3 |
8.3 |
4.4 |
71.7 |
Secondary vocational school |
11.3 |
41.7 |
36.2 |
11.4 |
6.0 |
5.8 |
112.4 |
College, university, PhD, DLA |
19.7 |
24.9 |
12.7 |
4.7 |
3.9 |
1.7 |
67.7 |
Total |
48.6 |
139.8 |
128.3 |
52.0 |
32.8 |
38.5 |
440.0 |
Female |
|
|
|
|
|
|
|
At most 8 grades of primary school |
– |
5.2 |
12.2 |
7.4 |
5.3 |
17.1 |
47.2 |
Vocational school, apprentice school |
3.6 |
16.9 |
16.2 |
9.2 |
3.7 |
4.8 |
54.2 |
Secondary general school |
3.0 |
24.6 |
26.3 |
12.5 |
6.5 |
6.5 |
79.6 |
Secondary vocational school |
7.9 |
28.5 |
28.2 |
12.0 |
5.9 |
5.8 |
88.2 |
College, university, PhD, DLA |
15.4 |
32.6 |
27.4 |
14.5 |
4.1 |
2.2 |
96.1 |
Total |
29.8 |
107.8 |
110.3 |
55.6 |
25.4 |
36.4 |
365.3 |
Economic activity |
Total |
|
|
|
|
|
|
|
employed |
72.8 |
225.8 |
208.9 |
85.7 |
45.3 |
53.6 |
692.1 |
unemployed |
1.5 |
4.3 |
7.4 |
5.6 |
4.0 |
8.0 |
30.6 |
inactive |
4.1 |
17.5 |
22.3 |
16.3 |
8.9 |
13.3 |
82.5 |
Total |
78.4 |
247.6 |
238.6 |
107.5 |
58.2 |
74.9 |
805.3 |
Male |
|
|
|
|
|
|
|
employed |
47.7 |
137.3 |
120.5 |
45.2 |
27.8 |
29.6 |
408.1 |
unemployed |
0.8 |
1.6 |
5.5 |
3.8 |
2.7 |
5.4 |
19.8 |
inactive |
0.1 |
0.9 |
2.3 |
3.0 |
2.3 |
3.5 |
12.1 |
Total |
48.6 |
139.8 |
128.3 |
52.0 |
32.8 |
38.5 |
440.0 |
Female |
|
|
|
|
|
|
|
employed |
25.2 |
88.5 |
88.4 |
40.5 |
17.5 |
24.0 |
284.1 |
unemployed |
0.7 |
2.7 |
1.9 |
1.8 |
1.3 |
2.6 |
10.8 |
inactive |
4.0 |
16.6 |
20.0 |
13.3 |
6.6 |
9.9 |
70.4 |
Total |
29.8 |
107.8 |
110.3 |
55.6 |
25.4 |
36.4 |
365.3 |
Region of residence |
Total |
|
|
|
|
|
|
|
Budapest |
23.6 |
42.7 |
34.4 |
12.8 |
4.5 |
3.2 |
121.2 |
Pest |
13.5 |
31.2 |
30.0 |
12.5 |
2.3 |
3.5 |
93.0 |
Central Transdanubia |
4.3 |
33.6 |
32.2 |
11.8 |
4.4 |
5.4 |
91.8 |
Western Transdanubia |
8.1 |
29.4 |
22.2 |
10.7 |
8.0 |
7.5 |
85.8 |
Southern Transdanubia |
6.1 |
19.0 |
19.8 |
9.4 |
7.1 |
10.4 |
71.9 |
Northern Hungary |
4.6 |
24.2 |
30.4 |
17.7 |
9.6 |
17.3 |
103.9 |
Northern Great Plain |
6.6 |
33.0 |
41.6 |
20.4 |
12.5 |
21.8 |
135.9 |
Southern Great Plain |
11.5 |
34.5 |
27.9 |
12.2 |
9.8 |
5.8 |
101.8 |
Total |
78.4 |
247.6 |
238.6 |
107.5 |
58.2 |
74.9 |
805.3 |
Male |
|
|
|
|
|
|
|
Budapest |
15.3 |
21.6 |
19.3 |
4.4 |
2.8 |
2.8 |
66.2 |
Pest |
7.5 |
14.9 |
18.6 |
6.2 |
1.3 |
1.7 |
50.2 |
Central Transdanubia |
3.0 |
20.9 |
14.9 |
6.1 |
1.8 |
2.9 |
49.6 |
Western Transdanubia |
4.1 |
17.3 |
11.0 |
6.2 |
4.5 |
3.2 |
46.4 |
Southern Transdanubia |
3.6 |
11.3 |
12.6 |
3.0 |
3.9 |
5.4 |
39.8 |
Northern Hungary |
2.6 |
15.4 |
15.4 |
8.8 |
5.7 |
8.7 |
56.7 |
Northern Great Plain |
4.5 |
19.0 |
22.7 |
10.8 |
7.7 |
10.5 |
75.3 |
Southern Great Plain |
7.9 |
19.4 |
13.8 |
6.4 |
5.1 |
3.3 |
55.9 |
Total |
48.6 |
139.8 |
128.3 |
52.0 |
32.8 |
38.5 |
440.0 |
Female |
|
|
|
|
|
|
|
Budapest |
8.3 |
21.1 |
15.1 |
8.4 |
1.7 |
0.4 |
55.0 |
Pest |
6.0 |
16.2 |
11.4 |
6.3 |
1.0 |
1.8 |
42.8 |
Central Transdanubia |
1.3 |
12.8 |
17.2 |
5.8 |
2.6 |
2.5 |
42.2 |
Western Transdanubia |
3.9 |
12.0 |
11.2 |
4.5 |
3.5 |
4.2 |
39.4 |
Southern Transdanubia |
2.5 |
7.7 |
7.3 |
6.4 |
3.2 |
5.0 |
32.1 |
Northern Hungary |
2.0 |
8.9 |
15.0 |
9.0 |
3.9 |
8.6 |
47.2 |
Northern Great Plain |
2.1 |
13.9 |
18.9 |
9.6 |
4.8 |
11.3 |
60.6 |
Southern Great Plain |
3.6 |
15.1 |
14.1 |
5.8 |
4.7 |
2.5 |
46.0 |
Total |
29.8 |
107.8 |
110.3 |
55.6 |
25.4 |
36.4 |
365.3 |
The administrative classification of residence |
Total |
|
|
|
|
|
|
|
town |
35.4 |
121.8 |
100.1 |
45.5 |
27.5 |
29.3 |
359.7 |
village |
19.4 |
83.1 |
104.1 |
49.2 |
26.2 |
42.4 |
324.4 |
Budapest |
23.6 |
42.7 |
34.4 |
12.8 |
4.5 |
3.2 |
121.2 |
Total |
78.4 |
247.6 |
238.6 |
107.5 |
58.2 |
74.9 |
805.3 |
Male |
|
|
|
|
|
|
|
town |
21.2 |
65.1 |
52.5 |
22.8 |
16.6 |
15.0 |
193.3 |
village |
12.1 |
53.0 |
56.6 |
24.7 |
13.4 |
20.7 |
180.5 |
Budapest |
15.3 |
21.6 |
19.3 |
4.4 |
2.8 |
2.8 |
66.2 |
Total |
48.6 |
139.8 |
128.3 |
52.0 |
32.8 |
38.5 |
440.0 |
Female |
|
|
|
|
|
|
|
town |
14.2 |
56.7 |
47.6 |
22.7 |
10.9 |
14.3 |
166.4 |
village |
7.3 |
30.0 |
47.5 |
24.5 |
12.8 |
21.7 |
143.8 |
Budapest |
8.3 |
21.1 |
15.1 |
8.4 |
1.7 |
0.4 |
55.0 |
Total |
29.8 |
107.8 |
110.3 |
55.6 |
25.4 |
36.4 |
365.3 |