| Total |
134.8 |
59.2 |
247.9 |
131.8 |
| Sex |
|
|
|
|
| Male |
105.1 |
67.7 |
226.4 |
106.0 |
| Female |
159.7 |
52.4 |
270.9 |
153.5 |
| Age groups |
|
|
|
|
| 15–19 |
43.4 |
38.0 |
101.9 |
44.4 |
| 20–24 |
77.4 |
84.4 |
147.1 |
80.6 |
| 25–29 |
65.8 |
102.5 |
265.6 |
70.0 |
| 30–34 |
107.6 |
59.0 |
135.6 |
106.3 |
| 35–39 |
84.2 |
180.9 |
248.5 |
91.3 |
| 40–44 |
100.1 |
72.9 |
158.3 |
100.4 |
| 45–49 |
102.3 |
65.2 |
172.8 |
102.4 |
| 50–54 |
119.1 |
58.8 |
151.4 |
116.7 |
| 55–59 |
173.8 |
50.8 |
441.9 |
173.7 |
| 60–64 |
223.5 |
51.0 |
315.5 |
220.6 |
| 65–69 |
236.5 |
117.5 |
414.8 |
237.5 |
| 70–74 |
193.3 |
66.7 |
971.9 |
210.2 |
| Highest level of education |
|
|
|
|
| Less than 8 grades of primary school |
111.6 |
15.6 |
106.0 |
101.1 |
| Primary school |
124.7 |
44.1 |
146.2 |
108.7 |
| Vocational and apprentice school |
137.7 |
100.1 |
220.7 |
138.0 |
| Secondary general school |
125.8 |
73.8 |
210.6 |
124.7 |
| Secondary vocational school |
145.2 |
66.1 |
246.0 |
143.5 |
| Tertiary education |
134.7 |
66.8 |
329.3 |
138.6 |
| Type of settlement |
|
|
|
|
| Village |
119.0 |
61.2 |
198.2 |
116.9 |
| Town |
152.9 |
63.6 |
231.3 |
148.3 |
| Budapest |
112.4 |
46.4 |
415.7 |
113.9 |
| Economic activity |
|
|
|
|
| Employed |
101.6 |
76.6 |
242.4 |
104.3 |
| Unemployed |
126.4 |
65.6 |
161.2 |
125.2 |
| Economically inactive |
196.4 |
49.3 |
259.6 |
177.5 |
| Marital status |
|
|
|
|
| Single |
76.7 |
52.6 |
142.3 |
74.8 |
| Married |
151.7 |
69.4 |
324.6 |
152.8 |
| Widowed, divorced or legally separated |
177.3 |
86.9 |
293.7 |
177.1 |
| Status in the family |
|
|
|
|
| Single |
168.3 |
81.4 |
309.2 |
167.7 |
| Not single |
129.3 |
57.4 |
240.1 |
126.2 |
| Of which: |
|
|
|
|
| husband |
121.4 |
86.1 |
346.2 |
126.3 |
| wife |
175.7 |
54.7 |
309.8 |
173.8 |
| cohabitant |
92.7 |
94.0 |
230.1 |
96.4 |
| single parent |
141.9 |
53.1 |
185.1 |
138.6 |
| child |
61.5 |
47.7 |
105.1 |
59.2 |
| other |
156.1 |
139.4 |
162.8 |
155.5 |
| Type of household – by activity |
|
|
|
|
| There is at least one employed person in the household |
112.2 |
57.7 |
237.9 |
111.0 |
| All members of the household aged 15–74 are unemployed |
230.5 |
14.6 |
40.0 |
214.7 |
| All are economically inactive |
87.8 |
64.2 |
409.9 |
90.3 |
| All are unemployed or economically inactive |
231.2 |
81.5 |
328.7 |
228.1 |
| Number of children under age 19 in the household |
|
|
|
|
| no children under age 19 |
155.3 |
67.7 |
356.5 |
156.2 |
| 1 child under age 19 |
107.4 |
63.8 |
123.7 |
102.3 |
| 2 children under age 19 |
88.1 |
41.4 |
125.2 |
82.6 |
| 3 or more children under age 19 |
71.1 |
53.9 |
44.3 |
67.0 |
| Area of education |
|
|
|
|
| General programmes |
124.4 |
49.6 |
176.2 |
114.3 |
| Education |
162.0 |
74.2 |
514.1 |
174.5 |
| Humanities and arts |
91.4 |
44.2 |
367.3 |
103.8 |
| Social sciences, journalism and other information services |
126.2 |
63.7 |
187.6 |
123.6 |
| Business, administration and law |
166.5 |
80.4 |
218.8 |
164.1 |
| Natural sciences, mathematics and statistics |
111.5 |
96.8 |
30.0 |
108.5 |
| Information and communication technologies |
119.8 |
35.1 |
122.7 |
114.9 |
| Engineering, manufacturing and construction |
132.0 |
89.1 |
217.2 |
132.5 |
| Agriculture and veterinary |
128.7 |
59.7 |
159.9 |
125.0 |
| Health and welfare |
152.9 |
69.7 |
308.1 |
153.6 |
| Services |
118.8 |
62.3 |
309.8 |
120.1 |
| Participation in formal education |
|
|
|
|
| Primary |
21.1 |
17.6 |
– |
20.0 |
| Vocational and apprentice school |
55.0 |
49.9 |
79.9 |
53.9 |
| Secondary school |
55.8 |
34.9 |
99.5 |
47.4 |
| Higher vocational programme in formal education |
106.0 |
146.0 |
135.3 |
109.9 |
| Tertiary education |
52.9 |
46.0 |
145.4 |
56.9 |
| PhD, DLA training |
21.1 |
25.0 |
– |
22.6 |
| Didn't attend formal education |
139.9 |
82.2 |
292.7 |
141.2 |
| County/region of residence |
|
|
|
|
| Central Hungary |
121.8 |
50.1 |
341.4 |
119.8 |
| Budapest |
112.4 |
46.4 |
415.7 |
113.9 |
| Pest |
131.7 |
54.4 |
248.7 |
126.1 |
| Central Transdanubia |
156.6 |
99.9 |
374.3 |
156.8 |
| Fejér |
77.1 |
56.8 |
53.6 |
74.8 |
| Komárom-Esztergom |
193.6 |
149.2 |
357.4 |
191.5 |
| Veszprém |
204.7 |
106.2 |
632.1 |
210.7 |
| Western Transdanubia |
105.5 |
49.7 |
188.1 |
102.7 |
| Győr-Moson-Sopron |
114.0 |
47.8 |
262.4 |
110.0 |
| Vas |
94.8 |
51.3 |
165.7 |
93.9 |
| Zala |
107.5 |
51.0 |
133.0 |
104.0 |
| Southern Transdanubia |
154.9 |
72.7 |
248.8 |
152.7 |
| Baranya |
104.6 |
61.0 |
316.2 |
113.6 |
| Somogy |
175.0 |
76.1 |
190.0 |
166.7 |
| Tolna |
192.9 |
131.7 |
117.7 |
190.0 |
| Northern Hungary |
147.3 |
66.9 |
169.4 |
144.1 |
| Borsod-Abaúj-Zemplén |
151.7 |
69.9 |
161.6 |
147.1 |
| Heves |
152.0 |
88.3 |
247.1 |
152.3 |
| Nógrád |
129.4 |
42.5 |
120.5 |
124.9 |
| Northern Great Plain |
133.4 |
45.7 |
175.4 |
129.8 |
| Hajdú-Bihar |
199.6 |
46.8 |
212.4 |
192.0 |
| Jász-Nagykun-Szolnok |
77.2 |
30.3 |
159.4 |
76.4 |
| Szabolcs-Szatmár-Bereg |
143.7 |
52.9 |
125.0 |
137.4 |
| Southern Great Plain |
134.3 |
60.3 |
146.3 |
128.8 |
| Bács-Kiskun |
147.0 |
57.6 |
119.3 |
142.4 |
| Békés |
170.3 |
75.4 |
180.9 |
154.9 |
| Csongrád-Csanád |
89.0 |
29.9 |
127.1 |
85.7 |