Age group |
Total |
|
|
|
|
|
|
15–19 |
167.3 |
295.3 |
462.6 |
36.2 |
63.8 |
100.0 |
20–24 |
179.1 |
339.7 |
518.9 |
34.5 |
65.5 |
100.0 |
25–29 |
113.1 |
457.3 |
570.4 |
19.8 |
80.2 |
100.0 |
Total |
459.5 |
1 092.4 |
1 551.9 |
29.6 |
70.4 |
100.0 |
Male |
|
|
|
|
|
|
15–19 |
77.5 |
159.1 |
236.6 |
32.7 |
67.3 |
100.0 |
20–24 |
83.7 |
181.1 |
264.8 |
31.6 |
68.4 |
100.0 |
25–29 |
52.6 |
240.3 |
292.9 |
18.0 |
82.0 |
100.0 |
Total |
213.8 |
580.5 |
794.3 |
26.9 |
73.1 |
100.0 |
Female |
|
|
|
|
|
|
15–19 |
89.8 |
136.2 |
226.0 |
39.7 |
60.3 |
100.0 |
20–24 |
95.4 |
158.6 |
254.0 |
37.6 |
62.4 |
100.0 |
25–29 |
60.5 |
217.0 |
277.6 |
21.8 |
78.2 |
100.0 |
Total |
245.7 |
511.8 |
757.6 |
32.4 |
67.6 |
100.0 |
Educational attainment |
Total |
|
|
|
|
|
|
At most 8 grades of primary school |
129.5 |
402.5 |
532.0 |
24.3 |
75.7 |
100.0 |
Vocational school, apprentice school |
25.2 |
169.6 |
194.7 |
12.9 |
87.1 |
100.0 |
Secondary general school |
173.3 |
220.7 |
394.0 |
44.0 |
56.0 |
100.0 |
Secondary vocational school |
64.3 |
174.3 |
238.7 |
26.9 |
73.1 |
100.0 |
College, university, PhD, DLA |
67.3 |
125.2 |
192.6 |
35.0 |
65.0 |
100.0 |
Total |
459.5 |
1 092.4 |
1 551.9 |
29.6 |
70.4 |
100.0 |
Male |
|
|
|
|
|
|
At most 8 grades of primary school |
61.6 |
213.4 |
275.0 |
22.4 |
77.6 |
100.0 |
Vocational school, apprentice school |
16.2 |
111.2 |
127.3 |
12.7 |
87.3 |
100.0 |
Secondary general school |
77.8 |
101.5 |
179.3 |
43.4 |
56.6 |
100.0 |
Secondary vocational school |
33.3 |
100.5 |
133.8 |
24.9 |
75.1 |
100.0 |
College, university, PhD, DLA |
25.0 |
54.0 |
78.9 |
31.6 |
68.4 |
100.0 |
Total |
213.8 |
580.5 |
794.3 |
26.9 |
73.1 |
100.0 |
Female |
|
|
|
|
|
|
At most 8 grades of primary school |
67.9 |
189.1 |
257.0 |
26.4 |
73.6 |
100.0 |
Vocational school, apprentice school |
9.0 |
58.4 |
67.4 |
13.3 |
86.7 |
100.0 |
Secondary general school |
95.5 |
119.2 |
214.6 |
44.5 |
55.5 |
100.0 |
Secondary vocational school |
31.1 |
73.8 |
104.9 |
29.6 |
70.4 |
100.0 |
College, university, PhD, DLA |
42.4 |
71.3 |
113.7 |
37.3 |
62.7 |
100.0 |
Total |
245.7 |
511.8 |
757.6 |
32.4 |
67.6 |
100.0 |
Economic activity |
Total |
|
|
|
|
|
|
employed |
169.4 |
564.6 |
734.0 |
23.1 |
76.9 |
100.0 |
unemployed |
8.1 |
41.9 |
50.1 |
16.3 |
83.7 |
100.0 |
inactive |
282.0 |
485.9 |
767.8 |
36.7 |
63.3 |
100.0 |
Total |
459.5 |
1 092.4 |
1 551.9 |
29.6 |
70.4 |
100.0 |
Male |
|
|
|
|
|
|
employed |
80.9 |
344.1 |
425.0 |
19.0 |
81.0 |
100.0 |
unemployed |
4.5 |
25.7 |
30.3 |
15.0 |
85.0 |
100.0 |
inactive |
128.4 |
210.7 |
339.1 |
37.9 |
62.1 |
100.0 |
Total |
213.8 |
580.5 |
794.3 |
26.9 |
73.1 |
100.0 |
Female |
|
|
|
|
|
|
employed |
88.6 |
220.5 |
309.0 |
28.7 |
71.3 |
100.0 |
unemployed |
3.6 |
16.2 |
19.8 |
18.2 |
81.8 |
100.0 |
inactive |
153.6 |
275.2 |
428.8 |
35.8 |
64.2 |
100.0 |
Total |
245.7 |
511.8 |
757.6 |
32.4 |
67.6 |
100.0 |
Region of residence |
Total |
|
|
|
|
|
|
Budapest |
88.1 |
156.5 |
244.5 |
36.0 |
64.0 |
100.0 |
Pest |
66.9 |
132.6 |
199.5 |
33.5 |
66.5 |
100.0 |
Central Transdanubia |
48.2 |
116.5 |
164.7 |
29.3 |
70.7 |
100.0 |
Western Transdanubia |
41.5 |
108.9 |
150.4 |
27.6 |
72.4 |
100.0 |
Southern Transdanubia |
34.0 |
103.0 |
137.0 |
24.8 |
75.2 |
100.0 |
Northern Hungary |
49.3 |
143.8 |
193.1 |
25.6 |
74.4 |
100.0 |
Northern Great Plain |
65.7 |
194.5 |
260.2 |
25.2 |
74.8 |
100.0 |
Southern Great Plain |
65.8 |
136.7 |
202.5 |
32.5 |
67.5 |
100.0 |
Total |
459.5 |
1 092.4 |
1 551.9 |
29.6 |
70.4 |
100.0 |
Male |
|
|
|
|
|
|
Budapest |
39.0 |
85.4 |
124.4 |
31.4 |
68.6 |
100.0 |
Pest |
33.0 |
68.1 |
101.1 |
32.6 |
67.4 |
100.0 |
Central Transdanubia |
22.3 |
62.3 |
84.6 |
26.3 |
73.7 |
100.0 |
Western Transdanubia |
20.2 |
57.1 |
77.3 |
26.2 |
73.8 |
100.0 |
Southern Transdanubia |
12.6 |
56.7 |
69.3 |
18.2 |
81.8 |
100.0 |
Northern Hungary |
21.9 |
78.1 |
100.0 |
21.9 |
78.1 |
100.0 |
Northern Great Plain |
32.8 |
99.9 |
132.7 |
24.7 |
75.3 |
100.0 |
Southern Great Plain |
32.0 |
72.8 |
104.8 |
30.5 |
69.5 |
100.0 |
Total |
213.8 |
580.5 |
794.3 |
26.9 |
73.1 |
100.0 |
Female |
|
|
|
|
|
|
Budapest |
49.1 |
71.1 |
120.2 |
40.8 |
59.2 |
100.0 |
Pest |
33.9 |
64.5 |
98.4 |
34.5 |
65.5 |
100.0 |
Central Transdanubia |
25.9 |
54.1 |
80.1 |
32.4 |
67.6 |
100.0 |
Western Transdanubia |
21.3 |
51.8 |
73.1 |
29.1 |
70.9 |
100.0 |
Southern Transdanubia |
21.4 |
46.2 |
67.6 |
31.6 |
68.4 |
100.0 |
Northern Hungary |
27.4 |
65.6 |
93.1 |
29.5 |
70.5 |
100.0 |
Northern Great Plain |
32.9 |
94.6 |
127.5 |
25.8 |
74.2 |
100.0 |
Southern Great Plain |
33.8 |
63.9 |
97.7 |
34.6 |
65.4 |
100.0 |
Total |
245.7 |
511.8 |
757.6 |
32.4 |
67.6 |
100.0 |
The administrative classification of residence |
Total |
|
|
|
|
|
|
town |
231.0 |
476.3 |
707.3 |
32.7 |
67.3 |
100.0 |
village |
140.5 |
459.6 |
600.1 |
23.4 |
76.6 |
100.0 |
Budapest |
88.1 |
156.5 |
244.5 |
36.0 |
64.0 |
100.0 |
Total |
459.5 |
1 092.4 |
1 551.9 |
29.6 |
70.4 |
100.0 |
Male |
|
|
|
|
|
|
town |
110.1 |
252.3 |
362.4 |
30.4 |
69.6 |
100.0 |
village |
64.7 |
242.8 |
307.5 |
21.0 |
79.0 |
100.0 |
Budapest |
39.0 |
85.4 |
124.4 |
31.4 |
68.6 |
100.0 |
Total |
213.8 |
580.5 |
794.3 |
26.9 |
73.1 |
100.0 |
Female |
|
|
|
|
|
|
town |
120.9 |
224.0 |
344.9 |
35.1 |
64.9 |
100.0 |
village |
75.8 |
216.8 |
292.5 |
25.9 |
74.1 |
100.0 |
Budapest |
49.1 |
71.1 |
120.2 |
40.8 |
59.2 |
100.0 |
Total |
245.7 |
511.8 |
757.6 |
32.4 |
67.6 |
100.0 |