Age group |
Total |
|
|
|
|
|
|
15–19 |
152.6 |
47.1 |
18.2 |
82.8 |
14.8 |
167.3 |
20–24 |
159.7 |
33.0 |
22.5 |
102.1 |
19.4 |
179.1 |
25–29 |
105.8 |
28.3 |
14.5 |
61.5 |
7.3 |
113.1 |
Total |
418.1 |
108.4 |
55.2 |
246.3 |
41.5 |
459.5 |
Male |
|
|
|
|
|
|
15–19 |
71.6 |
22.3 |
9.7 |
37.3 |
5.9 |
77.5 |
20–24 |
75.4 |
15.2 |
10.7 |
49.1 |
8.4 |
83.7 |
25–29 |
49.8 |
12.9 |
7.3 |
28.9 |
2.8 |
52.6 |
Total |
196.7 |
50.4 |
27.8 |
115.3 |
17.1 |
213.8 |
Female |
|
|
|
|
|
|
15–19 |
81.0 |
24.8 |
8.5 |
45.4 |
8.8 |
89.8 |
20–24 |
84.3 |
17.8 |
11.8 |
53.0 |
11.1 |
95.4 |
25–29 |
56.0 |
15.4 |
7.2 |
32.6 |
4.5 |
60.5 |
Total |
221.3 |
58.0 |
27.4 |
131.0 |
24.4 |
245.7 |
Educational attainment |
Total |
|
|
|
|
|
|
At most 8 grades of primary school |
118.3 |
35.6 |
14.4 |
64.4 |
11.1 |
129.5 |
Vocational school, apprentice school |
21.4 |
5.9 |
4.5 |
11.1 |
3.7 |
25.2 |
Secondary general school |
154.2 |
34.5 |
17.6 |
98.5 |
19.0 |
173.3 |
Secondary vocational school |
60.9 |
15.0 |
9.8 |
35.9 |
3.4 |
64.3 |
College, university, PhD, DLA |
63.2 |
17.5 |
8.9 |
36.5 |
4.2 |
67.3 |
Total |
418.1 |
108.4 |
55.2 |
246.3 |
41.5 |
459.5 |
Male |
|
|
|
|
|
|
At most 8 grades of primary school |
56.4 |
16.2 |
8.3 |
30.4 |
5.2 |
61.6 |
Vocational school, apprentice school |
14.0 |
4.0 |
3.3 |
6.7 |
2.2 |
16.2 |
Secondary general school |
70.4 |
17.0 |
8.9 |
42.9 |
7.4 |
77.8 |
Secondary vocational school |
32.2 |
7.5 |
3.8 |
20.5 |
1.1 |
33.3 |
College, university, PhD, DLA |
23.7 |
5.6 |
3.4 |
14.7 |
1.2 |
25.0 |
Total |
196.7 |
50.4 |
27.8 |
115.3 |
17.1 |
213.8 |
Female |
|
|
|
|
|
|
At most 8 grades of primary school |
61.9 |
19.4 |
6.0 |
34.0 |
5.9 |
67.9 |
Vocational school, apprentice school |
7.4 |
1.9 |
1.1 |
4.4 |
1.6 |
9.0 |
Secondary general school |
83.8 |
17.4 |
8.7 |
55.6 |
11.6 |
95.5 |
Secondary vocational school |
28.8 |
7.5 |
6.0 |
15.3 |
2.3 |
31.1 |
College, university, PhD, DLA |
39.4 |
11.8 |
5.6 |
21.7 |
2.9 |
42.4 |
Total |
221.3 |
58.0 |
27.4 |
131.0 |
24.4 |
245.7 |
Economic activity |
Total |
|
|
|
|
|
|
employed |
153.7 |
39.8 |
20.1 |
92.8 |
15.7 |
169.4 |
unemployed |
7.1 |
1.0 |
0.6 |
5.6 |
1.0 |
8.1 |
inactive |
257.2 |
67.6 |
34.5 |
148.0 |
24.7 |
282.0 |
Total |
418.1 |
108.4 |
55.2 |
246.3 |
41.5 |
459.5 |
Male |
|
|
|
|
|
|
employed |
74.0 |
18.2 |
8.8 |
46.3 |
6.9 |
80.9 |
unemployed |
4.3 |
0.4 |
0.4 |
3.5 |
0.2 |
4.5 |
inactive |
118.4 |
31.7 |
18.5 |
65.5 |
10.0 |
128.4 |
Total |
196.7 |
50.4 |
27.8 |
115.3 |
17.1 |
213.8 |
Female |
|
|
|
|
|
|
employed |
79.7 |
21.6 |
11.3 |
46.5 |
8.9 |
88.6 |
unemployed |
2.8 |
0.5 |
0.2 |
2.1 |
0.8 |
3.6 |
inactive |
138.9 |
35.9 |
16.0 |
82.4 |
14.7 |
153.6 |
Total |
221.3 |
58.0 |
27.4 |
131.0 |
24.4 |
245.7 |
Region of residence |
Total |
|
|
|
|
|
|
Budapest |
80.9 |
12.3 |
7.1 |
57.3 |
7.2 |
88.1 |
Pest |
61.3 |
11.3 |
12.5 |
36.1 |
5.6 |
66.9 |
Central Transdanubia |
46.1 |
16.9 |
6.4 |
22.0 |
2.1 |
48.2 |
Western Transdanubia |
37.7 |
19.2 |
4.8 |
13.7 |
3.9 |
41.5 |
Southern Transdanubia |
30.3 |
9.6 |
2.1 |
18.3 |
3.7 |
34.0 |
Northern Hungary |
41.6 |
9.7 |
6.9 |
24.7 |
7.7 |
49.3 |
Northern Great Plain |
63.9 |
16.0 |
10.2 |
36.9 |
1.8 |
65.7 |
Southern Great Plain |
56.4 |
13.4 |
5.1 |
37.3 |
9.4 |
65.8 |
Total |
418.1 |
108.4 |
55.2 |
246.3 |
41.5 |
459.5 |
Male |
|
|
|
|
|
|
Budapest |
36.1 |
5.9 |
2.6 |
26.2 |
2.9 |
39.0 |
Pest |
31.3 |
5.3 |
7.4 |
18.2 |
1.6 |
33.0 |
Central Transdanubia |
21.8 |
6.8 |
3.6 |
11.1 |
0.5 |
22.3 |
Western Transdanubia |
18.9 |
9.5 |
2.4 |
7.1 |
1.3 |
20.2 |
Southern Transdanubia |
10.9 |
2.5 |
1.1 |
7.3 |
1.7 |
12.6 |
Northern Hungary |
19.1 |
4.7 |
2.9 |
11.4 |
2.8 |
21.9 |
Northern Great Plain |
31.6 |
9.1 |
5.8 |
16.1 |
1.2 |
32.8 |
Southern Great Plain |
27.0 |
6.7 |
1.9 |
17.9 |
5.0 |
32.0 |
Total |
196.7 |
50.4 |
27.8 |
115.3 |
17.1 |
213.8 |
Female |
|
|
|
|
|
|
Budapest |
44.8 |
6.4 |
4.5 |
31.1 |
4.3 |
49.1 |
Pest |
29.9 |
6.1 |
5.1 |
17.9 |
4.0 |
33.9 |
Central Transdanubia |
24.3 |
10.2 |
2.8 |
10.9 |
1.6 |
25.9 |
Western Transdanubia |
18.7 |
9.7 |
2.4 |
6.6 |
2.6 |
21.3 |
Southern Transdanubia |
19.3 |
7.1 |
1.0 |
11.1 |
2.1 |
21.4 |
Northern Hungary |
22.5 |
4.9 |
4.0 |
13.3 |
4.9 |
27.4 |
Northern Great Plain |
32.3 |
6.9 |
4.4 |
20.7 |
0.6 |
32.9 |
Southern Great Plain |
29.4 |
6.7 |
3.2 |
19.3 |
4.4 |
33.8 |
Total |
221.3 |
58.0 |
27.4 |
131.0 |
24.4 |
245.7 |
The administrative classification of residence |
Total |
|
|
|
|
|
|
town |
210.4 |
59.7 |
29.4 |
119.2 |
20.6 |
231.0 |
village |
126.8 |
36.4 |
18.7 |
69.8 |
13.7 |
140.5 |
Budapest |
80.9 |
12.3 |
7.1 |
57.3 |
7.2 |
88.1 |
Total |
418.1 |
108.4 |
55.2 |
246.3 |
41.5 |
459.5 |
Male |
|
|
|
|
|
|
town |
101.4 |
27.7 |
16.1 |
56.3 |
8.7 |
110.1 |
village |
59.2 |
16.8 |
9.0 |
32.8 |
5.5 |
64.7 |
Budapest |
36.1 |
5.9 |
2.6 |
26.2 |
2.9 |
39.0 |
Total |
196.7 |
50.4 |
27.8 |
115.3 |
17.1 |
213.8 |
Female |
|
|
|
|
|
|
town |
109.0 |
31.9 |
13.3 |
62.9 |
11.9 |
120.9 |
village |
67.5 |
19.7 |
9.6 |
37.0 |
8.2 |
75.8 |
Budapest |
44.8 |
6.4 |
4.5 |
31.1 |
4.3 |
49.1 |
Total |
221.3 |
58.0 |
27.4 |
131.0 |
24.4 |
245.7 |