Age group |
Total |
|
|
|
|
|
|
|
15–19 |
3.5 |
5.2 |
84.7 |
4.2 |
11.8 |
77.4 |
100.0 |
20–24 |
3.3 |
8.0 |
34.7 |
4.1 |
11.1 |
30.9 |
100.0 |
25–29 |
1.0 |
1.5 |
3.6 |
1.3 |
1.7 |
3.1 |
100.0 |
Total |
2.6 |
4.9 |
38.3 |
3.1 |
8.0 |
34.6 |
100.0 |
Male |
|
|
|
|
|
|
|
15–19 |
3.7 |
5.2 |
83.5 |
4.3 |
11.5 |
76.5 |
100.0 |
20–24 |
3.2 |
8.8 |
33.8 |
4.3 |
12.2 |
29.3 |
100.0 |
25–29 |
1.2 |
1.2 |
3.3 |
1.4 |
1.4 |
2.8 |
100.0 |
Total |
2.6 |
5.1 |
37.6 |
3.3 |
8.2 |
33.8 |
100.0 |
Female |
|
|
|
|
|
|
|
15–19 |
3.3 |
5.1 |
85.9 |
4.1 |
12.0 |
78.3 |
100.0 |
20–24 |
3.4 |
7.2 |
35.7 |
3.9 |
10.0 |
32.5 |
100.0 |
25–29 |
0.9 |
1.9 |
3.8 |
1.2 |
2.0 |
3.3 |
100.0 |
Total |
2.5 |
4.7 |
39.0 |
3.0 |
7.7 |
35.5 |
100.0 |
Educational attainment |
Total |
|
|
|
|
|
|
|
At most 8 grades of primary school |
2.3 |
3.0 |
62.7 |
2.6 |
8.0 |
57.3 |
100.0 |
Vocational school, apprentice school |
1.8 |
1.9 |
7.4 |
1.4 |
3.1 |
6.6 |
100.0 |
Secondary general school |
3.5 |
10.5 |
48.6 |
5.4 |
14.3 |
42.8 |
100.0 |
Secondary vocational school |
2.3 |
2.4 |
12.1 |
1.7 |
3.8 |
11.3 |
100.0 |
College, university, PhD, DLA |
2.7 |
5.2 |
12.1 |
3.6 |
5.5 |
11.0 |
100.0 |
Total |
2.6 |
4.9 |
38.3 |
3.1 |
8.0 |
34.6 |
100.0 |
Male |
|
|
|
|
|
|
|
At most 8 grades of primary school |
2.4 |
2.8 |
61.8 |
2.8 |
7.9 |
56.4 |
100.0 |
Vocational school, apprentice school |
1.0 |
2.5 |
6.5 |
0.8 |
3.1 |
6.0 |
100.0 |
Secondary general school |
3.8 |
11.9 |
51.7 |
6.6 |
16.4 |
44.5 |
100.0 |
Secondary vocational school |
2.6 |
2.9 |
13.2 |
1.9 |
4.3 |
12.6 |
100.0 |
College, university, PhD, DLA |
3.6 |
5.7 |
11.3 |
4.0 |
6.0 |
10.6 |
100.0 |
Total |
2.6 |
5.1 |
37.6 |
3.3 |
8.2 |
33.8 |
100.0 |
Female |
|
|
|
|
|
|
|
At most 8 grades of primary school |
2.1 |
3.1 |
63.5 |
2.4 |
8.1 |
58.3 |
100.0 |
Vocational school, apprentice school |
3.4 |
0.8 |
9.3 |
2.6 |
3.0 |
7.8 |
100.0 |
Secondary general school |
3.2 |
9.3 |
46.0 |
4.5 |
12.6 |
41.5 |
100.0 |
Secondary vocational school |
1.9 |
1.7 |
10.7 |
1.4 |
3.2 |
9.6 |
100.0 |
College, university, PhD, DLA |
2.1 |
4.8 |
12.7 |
3.3 |
5.1 |
11.2 |
100.0 |
Total |
2.5 |
4.7 |
39.0 |
3.0 |
7.7 |
35.5 |
100.0 |
County and region of residence |
Total |
|
|
|
|
|
|
|
Central Hungary |
2.7 |
6.9 |
36.9 |
3.5 |
8.9 |
34.2 |
100.0 |
Budapest |
2.4 |
8.1 |
33.2 |
3.8 |
8.9 |
31.1 |
100.0 |
Pest |
3.0 |
5.3 |
41.9 |
3.1 |
8.8 |
38.3 |
100.0 |
Central Transdanubia |
2.9 |
4.1 |
36.6 |
4.0 |
7.3 |
32.4 |
100.0 |
Fejér |
2.1 |
5.6 |
39.7 |
2.9 |
6.6 |
37.9 |
100.0 |
Komárom-Esztergom |
3.6 |
4.1 |
29.4 |
5.2 |
8.5 |
23.4 |
100.0 |
Veszprém |
3.3 |
2.2 |
39.3 |
4.1 |
7.1 |
33.7 |
100.0 |
Western Transdanubia |
2.1 |
4.0 |
37.1 |
3.6 |
6.1 |
33.5 |
100.0 |
Győr-Moson-Sopron |
0.9 |
2.6 |
36.5 |
2.5 |
4.4 |
33.0 |
100.0 |
Vas |
4.0 |
8.1 |
30.6 |
5.3 |
10.1 |
27.3 |
100.0 |
Zala |
2.4 |
2.3 |
44.8 |
3.7 |
5.3 |
40.5 |
100.0 |
Southern Transdanubia |
3.9 |
3.7 |
38.0 |
2.3 |
8.0 |
35.2 |
100.0 |
Baranya |
3.5 |
4.9 |
40.0 |
2.5 |
13.1 |
32.8 |
100.0 |
Somogy |
6.7 |
3.6 |
33.8 |
3.6 |
5.1 |
35.4 |
100.0 |
Tolna |
0.7 |
1.7 |
40.4 |
0.3 |
3.5 |
39.0 |
100.0 |
Northern Hungary |
2.3 |
2.7 |
40.4 |
2.5 |
6.7 |
36.3 |
100.0 |
Borsod-Abaúj-Zemplén |
2.7 |
2.7 |
39.5 |
2.3 |
6.1 |
36.5 |
100.0 |
Heves |
0.7 |
3.1 |
41.7 |
1.9 |
8.5 |
35.1 |
100.0 |
Nógrád |
3.2 |
2.6 |
41.8 |
4.1 |
6.4 |
37.1 |
100.0 |
Northern Great Plain |
1.7 |
4.1 |
40.1 |
1.5 |
5.3 |
39.2 |
100.0 |
Hajdú-Bihar |
2.3 |
4.5 |
44.4 |
2.0 |
5.6 |
43.5 |
100.0 |
Jász-Nagykun-Szolnok |
2.6 |
7.7 |
32.9 |
2.4 |
6.5 |
34.3 |
100.0 |
Szabolcs-Szatmár-Bereg |
0.6 |
1.8 |
40.3 |
0.4 |
4.3 |
38.0 |
100.0 |
Southern Great Plain |
2.8 |
5.5 |
39.5 |
4.7 |
12.5 |
30.7 |
100.0 |
Bács-Kiskun |
1.1 |
3.9 |
37.7 |
4.9 |
8.4 |
29.4 |
100.0 |
Békés |
2.2 |
4.7 |
37.9 |
4.2 |
14.9 |
25.6 |
100.0 |
Csongrád-Csanád |
5.5 |
8.3 |
43.0 |
4.7 |
15.6 |
36.5 |
100.0 |
Total |
2.6 |
4.9 |
38.3 |
3.1 |
8.0 |
34.6 |
100.0 |
Male |
|
|
|
|
|
|
|
Central Hungary |
2.9 |
6.9 |
37.1 |
4.1 |
8.8 |
34.0 |
100.0 |
Budapest |
2.9 |
7.2 |
34.1 |
4.6 |
8.1 |
31.6 |
100.0 |
Pest |
2.8 |
6.5 |
40.7 |
3.4 |
9.7 |
37.0 |
100.0 |
Central Transdanubia |
3.1 |
4.5 |
35.4 |
4.6 |
6.4 |
32.0 |
100.0 |
Fejér |
2.9 |
6.5 |
37.4 |
4.3 |
5.5 |
37.0 |
100.0 |
Komárom-Esztergom |
2.8 |
4.4 |
29.9 |
4.7 |
6.9 |
25.5 |
100.0 |
Veszprém |
3.7 |
2.1 |
38.0 |
4.9 |
7.2 |
31.7 |
100.0 |
Western Transdanubia |
2.6 |
4.2 |
37.9 |
3.7 |
6.8 |
34.2 |
100.0 |
Győr-Moson-Sopron |
0.5 |
3.3 |
39.5 |
2.8 |
5.1 |
35.4 |
100.0 |
Vas |
5.8 |
6.5 |
29.8 |
6.4 |
8.9 |
26.8 |
100.0 |
Zala |
3.0 |
3.5 |
42.8 |
2.6 |
7.6 |
39.1 |
100.0 |
Southern Transdanubia |
3.2 |
4.3 |
37.8 |
2.8 |
10.3 |
32.1 |
100.0 |
Baranya |
3.1 |
5.4 |
40.0 |
3.5 |
17.0 |
28.0 |
100.0 |
Somogy |
4.9 |
4.5 |
34.7 |
3.8 |
6.8 |
33.6 |
100.0 |
Tolna |
1.1 |
2.1 |
38.1 |
0.3 |
3.8 |
37.1 |
100.0 |
Northern Hungary |
2.4 |
3.3 |
39.1 |
1.8 |
6.9 |
36.1 |
100.0 |
Borsod-Abaúj-Zemplén |
2.9 |
3.0 |
37.4 |
2.0 |
5.3 |
36.1 |
100.0 |
Heves |
0.9 |
4.1 |
44.0 |
1.1 |
10.5 |
37.4 |
100.0 |
Nógrád |
2.6 |
3.1 |
38.3 |
1.8 |
7.6 |
34.6 |
100.0 |
Northern Great Plain |
2.0 |
3.8 |
37.2 |
1.0 |
5.5 |
36.5 |
100.0 |
Hajdú-Bihar |
2.0 |
4.3 |
41.5 |
1.4 |
5.1 |
41.3 |
100.0 |
Jász-Nagykun-Szolnok |
3.5 |
6.7 |
28.5 |
2.1 |
6.9 |
29.6 |
100.0 |
Szabolcs-Szatmár-Bereg |
1.0 |
1.8 |
38.3 |
– |
4.9 |
36.2 |
100.0 |
Southern Great Plain |
2.6 |
6.1 |
39.3 |
5.0 |
12.7 |
30.3 |
100.0 |
Bács-Kiskun |
1.1 |
4.0 |
38.7 |
5.9 |
8.8 |
29.1 |
100.0 |
Békés |
1.5 |
5.8 |
36.3 |
3.8 |
17.0 |
22.8 |
100.0 |
Csongrád-Csanád |
5.5 |
8.9 |
42.6 |
4.8 |
14.0 |
38.3 |
100.0 |
Total |
2.6 |
5.1 |
37.6 |
3.3 |
8.2 |
33.8 |
100.0 |
Female |
|
|
|
|
|
|
|
Central Hungary |
2.5 |
6.9 |
36.8 |
2.9 |
8.9 |
34.4 |
100.0 |
Budapest |
2.0 |
9.0 |
32.3 |
3.0 |
9.7 |
30.6 |
100.0 |
Pest |
3.3 |
4.0 |
43.1 |
2.8 |
8.0 |
39.6 |
100.0 |
Central Transdanubia |
2.7 |
3.7 |
37.9 |
3.3 |
8.2 |
32.8 |
100.0 |
Fejér |
1.4 |
4.6 |
42.1 |
1.5 |
7.7 |
38.8 |
100.0 |
Komárom-Esztergom |
4.4 |
3.9 |
28.9 |
5.8 |
10.2 |
21.2 |
100.0 |
Veszprém |
3.0 |
2.5 |
40.8 |
3.3 |
6.9 |
35.9 |
100.0 |
Western Transdanubia |
1.6 |
3.7 |
36.3 |
3.4 |
5.4 |
32.8 |
100.0 |
Győr-Moson-Sopron |
1.3 |
1.8 |
33.3 |
2.2 |
3.7 |
30.6 |
100.0 |
Vas |
2.0 |
9.9 |
31.4 |
4.0 |
11.4 |
27.9 |
100.0 |
Zala |
1.7 |
1.0 |
47.0 |
5.0 |
2.7 |
41.9 |
100.0 |
Southern Transdanubia |
4.7 |
3.0 |
38.3 |
1.9 |
5.6 |
38.5 |
100.0 |
Baranya |
4.0 |
4.3 |
40.1 |
1.5 |
8.9 |
37.9 |
100.0 |
Somogy |
8.6 |
2.7 |
32.9 |
3.5 |
3.4 |
37.3 |
100.0 |
Tolna |
0.3 |
1.3 |
43.0 |
0.3 |
3.2 |
41.1 |
100.0 |
Northern Hungary |
2.2 |
2.2 |
41.8 |
3.3 |
6.5 |
36.4 |
100.0 |
Borsod-Abaúj-Zemplén |
2.5 |
2.3 |
41.8 |
2.7 |
6.9 |
37.0 |
100.0 |
Heves |
0.4 |
2.0 |
39.2 |
2.7 |
6.3 |
32.6 |
100.0 |
Nógrád |
3.9 |
1.9 |
45.6 |
6.6 |
5.1 |
39.8 |
100.0 |
Northern Great Plain |
1.4 |
4.5 |
43.1 |
1.9 |
5.1 |
42.0 |
100.0 |
Hajdú-Bihar |
2.5 |
4.7 |
47.5 |
2.6 |
6.2 |
45.9 |
100.0 |
Jász-Nagykun-Szolnok |
1.8 |
8.8 |
37.6 |
2.7 |
6.0 |
39.4 |
100.0 |
Szabolcs-Szatmár-Bereg |
0.3 |
1.7 |
42.4 |
0.9 |
3.6 |
39.9 |
100.0 |
Southern Great Plain |
3.0 |
4.9 |
39.6 |
4.3 |
12.2 |
31.0 |
100.0 |
Bács-Kiskun |
1.1 |
3.7 |
36.6 |
3.8 |
7.9 |
29.7 |
100.0 |
Békés |
3.0 |
3.4 |
39.7 |
4.7 |
12.7 |
28.7 |
100.0 |
Csongrád-Csanád |
5.5 |
7.6 |
43.4 |
4.7 |
17.2 |
34.6 |
100.0 |
Total |
2.5 |
4.7 |
39.0 |
3.0 |
7.7 |
35.5 |
100.0 |
The administrative classification of residence |
Total |
|
|
|
|
|
|
|
town |
2.4 |
8.1 |
33.2 |
3.8 |
8.9 |
31.1 |
100.0 |
village |
2.2 |
4.0 |
38.9 |
2.5 |
7.6 |
35.1 |
100.0 |
Budapest |
2.9 |
4.4 |
39.6 |
3.4 |
7.9 |
35.5 |
100.0 |
Total |
2.6 |
4.9 |
38.3 |
3.1 |
8.0 |
34.6 |
100.0 |
Male |
|
|
|
|
|
|
|
town |
2.9 |
7.2 |
34.1 |
4.6 |
8.1 |
31.6 |
100.0 |
village |
2.1 |
4.4 |
37.0 |
1.8 |
8.1 |
33.6 |
100.0 |
Budapest |
3.0 |
4.9 |
39.2 |
4.0 |
8.3 |
34.7 |
100.0 |
Total |
2.6 |
5.1 |
37.6 |
3.3 |
8.2 |
33.8 |
100.0 |
Female |
|
|
|
|
|
|
|
town |
2.0 |
9.0 |
32.3 |
3.0 |
9.7 |
30.6 |
100.0 |
village |
2.4 |
3.6 |
40.9 |
3.2 |
7.1 |
36.7 |
100.0 |
Budapest |
2.8 |
3.9 |
40.0 |
2.8 |
7.5 |
36.3 |
100.0 |
Total |
2.5 |
4.7 |
39.0 |
3.0 |
7.7 |
35.5 |
100.0 |