Age group |
Total |
|
|
|
|
|
|
15–19 |
76.3 |
0.4 |
1.5 |
4.3 |
17.6 |
100.0 |
20–24 |
39.1 |
0.3 |
2.0 |
3.8 |
54.7 |
100.0 |
25–29 |
11.8 |
0.7 |
1.3 |
2.6 |
83.7 |
100.0 |
Total |
40.3 |
0.5 |
1.6 |
3.5 |
54.1 |
100.0 |
Male |
|
|
|
|
|
|
15–19 |
76.4 |
0.6 |
0.7 |
3.8 |
18.5 |
100.0 |
20–24 |
37.5 |
0.2 |
1.6 |
3.7 |
57.0 |
100.0 |
25–29 |
10.3 |
0.8 |
1.3 |
2.6 |
85.0 |
100.0 |
Total |
39.3 |
0.5 |
1.2 |
3.3 |
55.6 |
100.0 |
Female |
|
|
|
|
|
|
15–19 |
76.2 |
0.2 |
2.3 |
4.7 |
16.6 |
100.0 |
20–24 |
40.9 |
0.4 |
2.5 |
4.0 |
52.2 |
100.0 |
25–29 |
13.3 |
0.6 |
1.3 |
2.5 |
82.4 |
100.0 |
Total |
41.4 |
0.4 |
2.0 |
3.7 |
52.5 |
100.0 |
Educational attainment |
Total |
|
|
|
|
|
|
At most 8 grades of primary school |
58.8 |
0.4 |
1.2 |
3.4 |
36.2 |
100.0 |
Vocational school, apprentice school |
11.0 |
0.5 |
0.0 |
2.1 |
86.5 |
100.0 |
Secondary general school |
53.0 |
0.5 |
2.8 |
4.6 |
39.1 |
100.0 |
Secondary vocational school |
17.9 |
0.6 |
0.3 |
3.2 |
77.9 |
100.0 |
College, university, PhD, DLA |
20.0 |
0.5 |
3.3 |
3.4 |
72.7 |
100.0 |
Total |
40.3 |
0.5 |
1.6 |
3.5 |
54.1 |
100.0 |
Male |
|
|
|
|
|
|
At most 8 grades of primary school |
58.1 |
0.6 |
0.7 |
3.1 |
37.4 |
100.0 |
Vocational school, apprentice school |
8.9 |
0.5 |
0.1 |
1.7 |
88.8 |
100.0 |
Secondary general school |
56.0 |
0.6 |
2.2 |
4.3 |
36.9 |
100.0 |
Secondary vocational school |
18.7 |
0.6 |
0.4 |
4.2 |
76.0 |
100.0 |
College, university, PhD, DLA |
19.2 |
– |
3.9 |
3.5 |
73.4 |
100.0 |
Total |
39.3 |
0.5 |
1.2 |
3.3 |
55.6 |
100.0 |
Female |
|
|
|
|
|
|
At most 8 grades of primary school |
59.4 |
0.2 |
1.8 |
3.7 |
35.0 |
100.0 |
Vocational school, apprentice school |
15.1 |
0.4 |
– |
2.7 |
81.8 |
100.0 |
Secondary general school |
50.5 |
0.4 |
3.3 |
4.9 |
41.0 |
100.0 |
Secondary vocational school |
17.0 |
0.6 |
0.1 |
2.1 |
80.3 |
100.0 |
College, university, PhD, DLA |
20.4 |
0.9 |
2.9 |
3.4 |
72.3 |
100.0 |
Total |
41.4 |
0.4 |
2.0 |
3.7 |
52.5 |
100.0 |
Economic activity |
Total |
|
|
|
|
|
|
employed |
11.5 |
0.4 |
0.9 |
3.2 |
84.1 |
100.0 |
unemployed |
16.6 |
– |
1.0 |
4.6 |
77.8 |
100.0 |
inactive |
67.3 |
0.6 |
2.3 |
3.7 |
26.2 |
100.0 |
Total |
40.3 |
0.5 |
1.6 |
3.5 |
54.1 |
100.0 |
Male |
|
|
|
|
|
|
employed |
9.8 |
0.4 |
0.9 |
2.8 |
86.1 |
100.0 |
unemployed |
13.8 |
– |
0.9 |
4.7 |
80.6 |
100.0 |
inactive |
74.6 |
0.7 |
1.6 |
3.8 |
19.3 |
100.0 |
Total |
39.3 |
0.5 |
1.2 |
3.3 |
55.6 |
100.0 |
Female |
|
|
|
|
|
|
employed |
13.7 |
0.4 |
0.8 |
3.7 |
81.4 |
100.0 |
unemployed |
20.6 |
– |
1.1 |
4.5 |
73.8 |
100.0 |
inactive |
61.3 |
0.4 |
2.8 |
3.6 |
31.9 |
100.0 |
Total |
41.4 |
0.4 |
2.0 |
3.7 |
52.5 |
100.0 |
County and region of residence |
Total |
|
|
|
|
|
|
Central Hungary |
41.9 |
0.7 |
3.6 |
3.2 |
50.6 |
100.0 |
Budapest |
41.2 |
1.1 |
5.7 |
2.3 |
49.7 |
100.0 |
Pest |
42.9 |
0.2 |
0.7 |
4.4 |
51.7 |
100.0 |
Central Transdanubia |
36.5 |
0.6 |
0.8 |
5.3 |
56.8 |
100.0 |
Fejér |
39.3 |
0.3 |
0.2 |
4.6 |
55.6 |
100.0 |
Komárom-Esztergom |
31.0 |
– |
2.3 |
8.4 |
58.4 |
100.0 |
Veszprém |
38.0 |
1.6 |
0.3 |
3.3 |
56.7 |
100.0 |
Western Transdanubia |
32.9 |
1.1 |
1.2 |
4.1 |
60.7 |
100.0 |
Győr-Moson-Sopron |
24.0 |
1.4 |
1.4 |
3.2 |
70.1 |
100.0 |
Vas |
38.4 |
0.3 |
2.0 |
7.1 |
52.3 |
100.0 |
Zala |
43.5 |
1.3 |
0.2 |
2.7 |
52.4 |
100.0 |
Southern Transdanubia |
38.9 |
0.3 |
0.8 |
4.5 |
55.5 |
100.0 |
Baranya |
42.4 |
0.3 |
1.0 |
4.6 |
51.8 |
100.0 |
Somogy |
32.0 |
0.5 |
1.2 |
6.2 |
60.2 |
100.0 |
Tolna |
42.3 |
– |
0.1 |
2.2 |
55.4 |
100.0 |
Northern Hungary |
39.6 |
0.2 |
0.8 |
2.7 |
56.8 |
100.0 |
Borsod-Abaúj-Zemplén |
41.8 |
0.2 |
1.2 |
2.4 |
54.4 |
100.0 |
Heves |
34.1 |
0.3 |
– |
3.0 |
62.6 |
100.0 |
Nógrád |
39.4 |
– |
0.3 |
3.2 |
57.1 |
100.0 |
Northern Great Plain |
44.0 |
0.1 |
0.5 |
2.3 |
53.1 |
100.0 |
Hajdú-Bihar |
47.7 |
– |
– |
4.1 |
48.2 |
100.0 |
Jász-Nagykun-Szolnok |
39.1 |
– |
1.1 |
2.0 |
57.8 |
100.0 |
Szabolcs-Szatmár-Bereg |
43.4 |
0.2 |
0.6 |
1.0 |
54.8 |
100.0 |
Southern Great Plain |
42.5 |
0.3 |
0.9 |
3.8 |
52.5 |
100.0 |
Bács-Kiskun |
34.6 |
0.2 |
0.3 |
4.6 |
60.4 |
100.0 |
Békés |
39.6 |
0.7 |
0.5 |
4.2 |
55.0 |
100.0 |
Csongrád-Csanád |
55.0 |
0.2 |
2.0 |
2.4 |
40.4 |
100.0 |
Total |
40.3 |
0.5 |
1.6 |
3.5 |
54.1 |
100.0 |
Male |
|
|
|
|
|
|
Central Hungary |
42.5 |
0.7 |
2.8 |
3.4 |
50.7 |
100.0 |
Budapest |
41.0 |
1.2 |
4.5 |
3.8 |
49.5 |
100.0 |
Pest |
44.3 |
– |
0.6 |
2.9 |
52.2 |
100.0 |
Central Transdanubia |
36.2 |
1.0 |
0.8 |
4.2 |
57.9 |
100.0 |
Fejér |
37.3 |
– |
– |
4.9 |
57.8 |
100.0 |
Komárom-Esztergom |
33.9 |
– |
1.9 |
4.8 |
59.4 |
100.0 |
Veszprém |
36.8 |
3.0 |
0.7 |
2.9 |
56.5 |
100.0 |
Western Transdanubia |
34.3 |
1.8 |
1.1 |
4.8 |
58.0 |
100.0 |
Győr-Moson-Sopron |
26.8 |
2.7 |
0.5 |
4.9 |
65.1 |
100.0 |
Vas |
37.2 |
– |
2.8 |
6.1 |
53.8 |
100.0 |
Zala |
44.7 |
1.9 |
0.4 |
3.5 |
49.6 |
100.0 |
Southern Transdanubia |
38.0 |
– |
0.4 |
4.2 |
57.5 |
100.0 |
Baranya |
39.6 |
– |
0.7 |
5.8 |
54.0 |
100.0 |
Somogy |
32.9 |
– |
0.4 |
3.7 |
63.0 |
100.0 |
Tolna |
41.8 |
– |
– |
2.2 |
56.0 |
100.0 |
Northern Hungary |
36.6 |
0.1 |
0.8 |
2.8 |
59.7 |
100.0 |
Borsod-Abaúj-Zemplén |
36.5 |
0.1 |
1.2 |
2.4 |
59.7 |
100.0 |
Heves |
36.9 |
– |
– |
3.5 |
59.6 |
100.0 |
Nógrád |
36.7 |
– |
0.2 |
3.1 |
60.0 |
100.0 |
Northern Great Plain |
39.8 |
0.1 |
– |
1.6 |
58.5 |
100.0 |
Hajdú-Bihar |
43.7 |
– |
– |
1.3 |
55.0 |
100.0 |
Jász-Nagykun-Szolnok |
33.0 |
– |
– |
3.6 |
63.4 |
100.0 |
Szabolcs-Szatmár-Bereg |
40.2 |
0.2 |
– |
0.8 |
58.8 |
100.0 |
Southern Great Plain |
41.8 |
0.4 |
1.0 |
3.5 |
53.3 |
100.0 |
Bács-Kiskun |
33.6 |
0.2 |
0.3 |
4.0 |
61.9 |
100.0 |
Békés |
37.5 |
0.9 |
0.3 |
5.3 |
56.0 |
100.0 |
Csongrád-Csanád |
55.9 |
0.4 |
2.5 |
1.3 |
39.9 |
100.0 |
Total |
39.3 |
0.5 |
1.2 |
3.3 |
55.6 |
100.0 |
Female |
|
|
|
|
|
|
Central Hungary |
41.4 |
0.8 |
4.4 |
3.0 |
50.4 |
100.0 |
Budapest |
41.3 |
1.0 |
6.9 |
0.8 |
49.9 |
100.0 |
Pest |
41.5 |
0.5 |
0.8 |
6.0 |
51.1 |
100.0 |
Central Transdanubia |
36.9 |
0.2 |
0.9 |
6.4 |
55.6 |
100.0 |
Fejér |
41.5 |
0.6 |
0.4 |
4.3 |
53.2 |
100.0 |
Komárom-Esztergom |
27.9 |
– |
2.7 |
12.2 |
57.2 |
100.0 |
Veszprém |
39.2 |
– |
– |
3.8 |
57.0 |
100.0 |
Western Transdanubia |
31.4 |
0.3 |
1.3 |
3.2 |
63.7 |
100.0 |
Győr-Moson-Sopron |
21.1 |
– |
2.2 |
1.4 |
75.3 |
100.0 |
Vas |
39.6 |
0.5 |
1.1 |
8.2 |
50.6 |
100.0 |
Zala |
42.1 |
0.7 |
– |
1.7 |
55.5 |
100.0 |
Southern Transdanubia |
39.8 |
0.6 |
1.3 |
4.9 |
53.5 |
100.0 |
Baranya |
45.3 |
0.6 |
1.3 |
3.2 |
49.6 |
100.0 |
Somogy |
31.0 |
1.0 |
2.1 |
8.7 |
57.3 |
100.0 |
Tolna |
42.8 |
– |
0.2 |
2.2 |
54.8 |
100.0 |
Northern Hungary |
42.7 |
0.3 |
0.8 |
2.6 |
53.6 |
100.0 |
Borsod-Abaúj-Zemplén |
47.4 |
0.2 |
1.2 |
2.4 |
48.8 |
100.0 |
Heves |
31.2 |
0.7 |
– |
2.4 |
65.7 |
100.0 |
Nógrád |
42.3 |
– |
0.4 |
3.3 |
53.9 |
100.0 |
Northern Great Plain |
48.4 |
0.1 |
1.0 |
3.1 |
47.4 |
100.0 |
Hajdú-Bihar |
52.0 |
– |
– |
6.9 |
41.1 |
100.0 |
Jász-Nagykun-Szolnok |
45.6 |
– |
2.2 |
0.4 |
51.8 |
100.0 |
Szabolcs-Szatmár-Bereg |
46.8 |
0.2 |
1.3 |
1.1 |
50.6 |
100.0 |
Southern Great Plain |
43.3 |
0.2 |
0.8 |
4.1 |
51.6 |
100.0 |
Bács-Kiskun |
35.6 |
0.2 |
0.3 |
5.2 |
58.7 |
100.0 |
Békés |
41.7 |
0.6 |
0.7 |
3.0 |
54.0 |
100.0 |
Csongrád-Csanád |
54.0 |
– |
1.5 |
3.5 |
40.9 |
100.0 |
Total |
41.4 |
0.4 |
2.0 |
3.7 |
52.5 |
100.0 |
The administrative classification of residence |
Total |
|
|
|
|
|
|
town |
41.2 |
1.1 |
5.7 |
2.3 |
49.7 |
100.0 |
village |
39.3 |
0.4 |
0.4 |
3.5 |
56.4 |
100.0 |
Budapest |
40.8 |
0.4 |
1.1 |
3.9 |
53.8 |
100.0 |
Total |
40.3 |
0.5 |
1.6 |
3.5 |
54.1 |
100.0 |
Male |
|
|
|
|
|
|
town |
41.0 |
1.2 |
4.5 |
3.8 |
49.5 |
100.0 |
village |
37.5 |
0.3 |
0.3 |
3.0 |
58.8 |
100.0 |
Budapest |
40.2 |
0.5 |
0.9 |
3.5 |
55.0 |
100.0 |
Total |
39.3 |
0.5 |
1.2 |
3.3 |
55.6 |
100.0 |
Female |
|
|
|
|
|
|
town |
41.3 |
1.0 |
6.9 |
0.8 |
49.9 |
100.0 |
village |
41.3 |
0.4 |
0.5 |
4.0 |
53.8 |
100.0 |
Budapest |
41.5 |
0.2 |
1.3 |
4.4 |
52.6 |
100.0 |
Total |
41.4 |
0.4 |
2.0 |
3.7 |
52.5 |
100.0 |