| Total |
24.0 |
58.3 |
120.0 |
280.0 |
40.0 |
| Sex |
|
|
|
|
|
| Male |
20.0 |
60.0 |
114.0 |
260.0 |
36.0 |
| Female |
25.0 |
56.7 |
120.0 |
280.0 |
48.0 |
| Age groups |
|
|
|
|
|
| 15–19 |
12.0 |
25.0 |
70.0 |
81.0 |
20.0 |
| 20–24 |
20.0 |
35.0 |
52.0 |
380.0 |
27.0 |
| 25–29 |
20.0 |
50.0 |
60.0 |
120.0 |
30.0 |
| 30–34 |
16.0 |
40.0 |
90.0 |
225.0 |
27.0 |
| 35–39 |
20.0 |
50.0 |
80.0 |
235.8 |
30.0 |
| 40–44 |
18.0 |
50.0 |
75.0 |
180.0 |
32.0 |
| 45–49 |
20.0 |
53.3 |
135.0 |
360.0 |
40.0 |
| 50–54 |
20.0 |
72.0 |
144.0 |
232.0 |
41.7 |
| 55–59 |
30.0 |
70.0 |
150.0 |
440.0 |
52.0 |
| 60–64 |
50.0 |
86.7 |
176.7 |
505.0 |
80.0 |
| 65–69 |
60.0 |
110.0 |
200.0 |
600.0 |
90.0 |
| 70–74 |
48.0 |
80.0 |
111.0 |
582.0 |
60.0 |
| Highest level of education |
|
|
|
|
|
| Less than 8 grades of primary school |
30.0 |
25.0 |
42.7 |
1 770.0 |
35.0 |
| Primary school |
24.0 |
50.0 |
77.5 |
350.0 |
37.5 |
| Vocational and apprentice school |
24.0 |
60.0 |
140.0 |
297.5 |
40.0 |
| Secondary general school |
24.0 |
50.0 |
80.8 |
280.0 |
37.0 |
| Secondary vocational school |
25.0 |
62.0 |
135.0 |
198.3 |
45.0 |
| Tertiary education |
20.0 |
60.0 |
110.0 |
300.0 |
40.0 |
| Type of settlement |
|
|
|
|
|
| Village |
20.0 |
48.0 |
80.0 |
245.0 |
36.0 |
| Town |
30.0 |
60.0 |
150.0 |
300.0 |
50.0 |
| Budapest |
12.0 |
76.0 |
86.0 |
255.0 |
28.8 |
| Economic activity |
|
|
|
|
|
| Employed |
20.0 |
52.0 |
101.7 |
248.0 |
36.0 |
| Unemployed |
28.2 |
65.0 |
71.0 |
198.3 |
36.0 |
| Economically inactive |
30.0 |
70.0 |
152.7 |
378.3 |
54.4 |
| Marital status |
|
|
|
|
|
| Single |
20.0 |
36.7 |
76.7 |
151.7 |
26.7 |
| Married |
25.0 |
65.0 |
123.0 |
311.7 |
48.0 |
| Widowed, divorced or legally separated |
40.0 |
65.0 |
180.0 |
322.0 |
56.0 |
| Status in the family |
|
|
|
|
|
| Single |
30.0 |
60.0 |
155.0 |
266.0 |
50.0 |
| Not single |
20.0 |
56.7 |
110.0 |
280.0 |
40.0 |
| Of which: |
|
|
|
|
|
| husband |
24.0 |
70.0 |
120.0 |
365.0 |
40.0 |
| wife |
26.7 |
62.0 |
130.0 |
300.0 |
50.0 |
| cohabitant |
24.0 |
50.0 |
90.0 |
234.5 |
37.5 |
| single parent |
24.0 |
60.0 |
132.0 |
248.0 |
45.0 |
| child |
16.7 |
30.0 |
60.0 |
211.0 |
20.0 |
| other |
24.0 |
40.0 |
71.7 |
300.0 |
41.3 |
| Type of household – by activity |
|
|
|
|
|
| There is at least one employed person in the household |
20.0 |
52.0 |
108.3 |
255.0 |
36.0 |
| All members of the household aged 15–74 are unemployed |
48.0 |
330.0 |
22.0 |
1 480.0 |
52.0 |
| All are economically inactive |
20.0 |
50.0 |
128.5 |
61.0 |
25.0 |
| All are unemployed or economically inactive |
52.0 |
95.0 |
170.0 |
600.0 |
80.0 |
| Number of children under age 19 in the household |
|
|
|
|
|
| no children under age 19 |
30.0 |
64.7 |
136.7 |
341.7 |
48.0 |
| 1 child under age 19 |
20.0 |
50.0 |
91.7 |
302.5 |
33.3 |
| 2 children under age 19 |
18.0 |
48.0 |
95.0 |
171.7 |
30.0 |
| 3 or more children under age 19 |
15.0 |
40.0 |
54.0 |
140.0 |
25.0 |
| Area of education |
|
|
|
|
|
| General programmes |
24.0 |
50.0 |
75.0 |
296.0 |
37.5 |
| Education |
20.0 |
70.0 |
92.0 |
311.7 |
45.0 |
| Humanities and arts |
24.0 |
46.7 |
36.3 |
280.0 |
30.0 |
| Social sciences, journalism and other information services |
20.0 |
60.0 |
180.0 |
151.7 |
39.2 |
| Business, administration and law |
20.0 |
64.0 |
150.0 |
246.7 |
48.0 |
| Natural sciences, mathematics and statistics |
30.0 |
110.0 |
190.0 |
– |
60.0 |
| Information and communication technologies |
20.0 |
30.0 |
55.0 |
396.0 |
30.0 |
| Engineering, manufacturing and construction |
24.0 |
60.0 |
140.0 |
245.0 |
40.0 |
| Agriculture and veterinary |
26.7 |
81.7 |
152.5 |
183.3 |
45.0 |
| Health and welfare |
23.3 |
58.3 |
150.0 |
400.0 |
48.0 |
| Services |
20.0 |
60.0 |
98.3 |
337.0 |
42.0 |
| Participation in formal education |
|
|
|
|
|
| Primary |
10.0 |
14.2 |
26.7 |
– |
10.0 |
| Vocational and apprentice school |
10.0 |
21.0 |
24.0 |
750.0 |
15.0 |
| Secondary school |
12.0 |
25.0 |
70.0 |
255.0 |
20.0 |
| Higher vocational programme in formal education |
20.0 |
44.0 |
37.0 |
735.0 |
44.0 |
| Tertiary education |
16.7 |
35.0 |
45.0 |
183.3 |
24.0 |
| PhD, DLA training |
28.0 |
3.3 |
– |
– |
28.0 |
| Didn't attend formal education |
25.0 |
60.0 |
121.7 |
291.7 |
40.7 |
| County/region of residence |
|
|
|
|
|
| Central Hungary |
18.8 |
65.0 |
135.0 |
280.0 |
40.0 |
| Budapest |
12.0 |
76.0 |
86.0 |
255.0 |
28.0 |
| Pest |
20.0 |
62.0 |
164.0 |
296.0 |
48.0 |
| Central Transdanubia |
35.0 |
80.0 |
114.0 |
400.0 |
50.0 |
| Fejér |
20.0 |
50.0 |
45.0 |
44.0 |
28.0 |
| Komárom-Esztergom |
25.0 |
70.0 |
196.7 |
353.0 |
41.7 |
| Veszprém |
50.0 |
110.0 |
150.0 |
630.0 |
66.0 |
| Western Transdanubia |
20.0 |
45.0 |
109.3 |
245.0 |
35.0 |
| Győr-Moson-Sopron |
15.0 |
46.7 |
130.0 |
620.0 |
40.0 |
| Vas |
20.0 |
45.0 |
230.0 |
180.0 |
28.5 |
| Zala |
20.0 |
42.5 |
90.0 |
224.0 |
40.0 |
| Southern Transdanubia |
24.0 |
70.0 |
248.0 |
360.0 |
48.0 |
| Baranya |
20.0 |
50.0 |
138.0 |
360.0 |
24.0 |
| Somogy |
25.0 |
70.0 |
200.0 |
550.0 |
65.0 |
| Tolna |
36.0 |
80.0 |
330.0 |
280.0 |
60.0 |
| Northern Hungary |
30.0 |
36.7 |
65.0 |
225.0 |
40.0 |
| Borsod-Abaúj-Zemplén |
33.3 |
28.0 |
56.7 |
151.7 |
36.0 |
| Heves |
25.0 |
43.3 |
78.0 |
230.0 |
48.0 |
| Nógrád |
25.0 |
56.0 |
60.0 |
620.0 |
40.0 |
| Northern Great Plain |
24.0 |
58.3 |
136.7 |
260.0 |
40.0 |
| Hajdú-Bihar |
40.0 |
90.0 |
172.0 |
288.3 |
60.0 |
| Jász-Nagykun-Szolnok |
12.0 |
24.7 |
80.0 |
311.7 |
20.0 |
| Szabolcs-Szatmár-Bereg |
25.0 |
72.0 |
166.7 |
216.7 |
50.0 |
| Southern Great Plain |
25.0 |
53.0 |
115.0 |
150.0 |
40.0 |
| Bács-Kiskun |
20.0 |
50.0 |
115.0 |
180.0 |
44.0 |
| Békés |
40.0 |
75.0 |
416.0 |
91.7 |
51.0 |
| Csongrád-Csanád |
24.0 |
45.0 |
85.0 |
456.0 |
35.0 |