| Total |
89.9 |
78.4 |
| Sex |
|
|
| Male |
70.7 |
84.6 |
| Female |
107.4 |
71.8 |
| Age groups, year-old |
|
|
| 15–19 |
35.8 |
39.0 |
| 20–24 |
45.6 |
63.0 |
| 25–29 |
50.8 |
121.0 |
| 30–34 |
66.0 |
66.8 |
| 35–39 |
53.3 |
54.4 |
| 40–44 |
65.0 |
63.0 |
| 45–49 |
69.7 |
93.0 |
| 50–54 |
80.1 |
142.3 |
| 55–59 |
109.1 |
107.1 |
| 60–64 |
181.9 |
129.7 |
| 65–69 |
169.7 |
189.8 |
| 70–74 |
138.4 |
89.5 |
| Highest level of education |
|
|
| Less than 8 grades of primary school |
85.5 |
114.1 |
| Primary school |
97.1 |
40.3 |
| Vocational and apprentice school |
88.1 |
108.1 |
| Secondary general school |
78.4 |
77.6 |
| Secondary vocational school |
97.5 |
98.3 |
| Tertiary education |
87.6 |
99.6 |
| Type of settlement |
|
|
| Village |
84.0 |
74.4 |
| Town |
93.2 |
89.0 |
| Budapest |
93.2 |
58.9 |
| Economic activity |
|
|
| Employed |
69.3 |
89.8 |
| Unemployed |
84.9 |
98.3 |
| Economically inactive |
135.0 |
64.9 |
| Marital status |
|
|
| Single |
55.2 |
55.2 |
| Married |
93.3 |
103.3 |
| Widowed, divorced or legally separated |
144.0 |
99.4 |
| Status in the family |
|
|
| Single |
115.6 |
98.8 |
| Not single |
85.8 |
76.2 |
| Of which: |
|
|
| husband |
80.5 |
115.9 |
| wife |
106.3 |
89.5 |
| cohabitant |
70.5 |
81.7 |
| single parent |
139.3 |
82.1 |
| child |
44.5 |
45.9 |
| other |
97.8 |
98.0 |
| Type of household – by activity |
|
|
| There is at least one employed person in the household |
77.2 |
73.6 |
| All members of the household aged 15–74 are unemployed |
111.0 |
142.0 |
| All are economically inactive |
79.8 |
63.4 |
| All are unemployed or economically inactive |
160.3 |
130.7 |
| Number of children under age 19 in the household |
|
|
| no children under age 19 |
108.4 |
106.5 |
| 1 child under age 19 |
63.3 |
66.6 |
| 2 children under age 19 |
54.8 |
51.8 |
| 3 or more children under age 19 |
50.2 |
41.7 |
| Area of education |
|
|
| General programmes |
88.4 |
52.0 |
| Education |
109.8 |
101.2 |
| Humanities and arts |
62.9 |
95.5 |
| Social sciences, journalism and other information services |
129.3 |
112.7 |
| Business, administration and law |
102.2 |
81.0 |
| Natural sciences, mathematics and statistics |
55.5 |
72.5 |
| Information and communication technologies |
52.1 |
165.7 |
| Engineering, manufacturing and construction |
81.9 |
107.1 |
| Agriculture and veterinary |
85.1 |
142.3 |
| Health and welfare |
99.2 |
82.6 |
| Services |
84.5 |
91.6 |
| Participation in formal education |
|
|
| Primary |
23.2 |
114.1 |
| Vocational and apprentice school |
38.4 |
43.2 |
| Secondary school |
33.2 |
37.5 |
| Higher vocational programme in formal education |
38.2 |
35.7 |
| Tertiary education |
31.9 |
60.9 |
| PhD, DLA training |
23.0 |
181.7 |
| Didn't attend formal education |
94.2 |
100.5 |
| County/region of residence |
|
|
| Central Hungary |
98.5 |
65.0 |
| Budapest |
93.2 |
58.9 |
| Pest |
103.8 |
70.9 |
| Central Transdanubia |
90.7 |
74.0 |
| Fejér |
77.3 |
51.6 |
| Komárom-Esztergom |
115.6 |
62.9 |
| Veszprém |
90.5 |
109.6 |
| Western Transdanubia |
86.4 |
91.5 |
| Győr-Moson-Sopron |
58.6 |
71.3 |
| Vas |
81.4 |
108.0 |
| Zala |
121.9 |
95.3 |
| Southern Transdanubia |
113.4 |
129.1 |
| Baranya |
71.7 |
103.1 |
| Somogy |
125.5 |
141.3 |
| Tolna |
140.9 |
162.0 |
| Northern Hungary |
83.8 |
90.6 |
| Borsod-Abaúj-Zemplén |
89.8 |
88.0 |
| Heves |
80.5 |
139.2 |
| Nógrád |
68.8 |
83.6 |
| Northern Great Plain |
79.5 |
69.2 |
| Hajdú-Bihar |
84.3 |
63.7 |
| Jász-Nagykun-Szolnok |
73.4 |
59.5 |
| Szabolcs-Szatmár-Bereg |
82.5 |
81.3 |
| Southern Great Plain |
83.2 |
72.4 |
| Bács-Kiskun |
89.2 |
87.3 |
| Békés |
72.2 |
45.2 |
| Csongrád-Csanád |
83.5 |
91.0 |