| Total |
107.3 |
176.1 |
180.5 |
153.9 |
116.7 |
| Sex |
|
|
|
|
|
| Male |
134.1 |
144.7 |
270.0 |
75.3 |
138.5 |
| Female |
76.0 |
216.7 |
95.1 |
240.2 |
91.3 |
| Age groups |
|
|
|
|
|
| 15–19 |
65.8 |
90.2 |
64.0 |
565.0 |
74.9 |
| 20–24 |
129.6 |
211.7 |
133.7 |
– |
138.5 |
| 25–29 |
76.1 |
465.3 |
108.7 |
130.8 |
112.2 |
| 30–34 |
67.5 |
51.9 |
8.2 |
– |
62.9 |
| 35–39 |
106.9 |
167.1 |
48.7 |
121.0 |
111.1 |
| 40–44 |
79.9 |
271.6 |
196.2 |
64.7 |
106.8 |
| 45–49 |
144.8 |
209.4 |
141.0 |
60.0 |
150.2 |
| 50–54 |
101.5 |
38.8 |
599.0 |
72.0 |
120.1 |
| 55–59 |
155.0 |
89.8 |
242.0 |
218.5 |
152.7 |
| 60–64 |
125.1 |
192.7 |
146.5 |
29.8 |
129.6 |
| 65–69 |
136.5 |
240.0 |
109.5 |
233.3 |
143.8 |
| 70–74 |
104.5 |
116.3 |
109.9 |
118.8 |
106.2 |
| Highest level of education |
|
|
|
|
|
| Less than 8 grades of primary school |
52.5 |
– |
– |
– |
52.5 |
| Primary school |
88.5 |
90.6 |
102.0 |
357.1 |
93.3 |
| Vocational and apprentice school |
122.9 |
174.2 |
414.4 |
122.6 |
140.3 |
| Secondary general school |
108.9 |
453.2 |
98.7 |
– |
127.1 |
| Secondary vocational school |
135.2 |
198.8 |
88.3 |
38.8 |
138.1 |
| Tertiary education |
88.6 |
152.6 |
118.1 |
136.3 |
98.3 |
| Type of settlement |
|
|
|
|
|
| Village |
130.6 |
136.8 |
306.8 |
167.8 |
139.2 |
| Town |
96.9 |
190.4 |
114.4 |
184.2 |
108.7 |
| Budapest |
93.0 |
201.6 |
85.5 |
69.9 |
98.1 |
| Economic activity |
|
|
|
|
|
| Employed |
105.6 |
186.1 |
125.3 |
121.8 |
114.7 |
| Unemployed |
125.1 |
47.8 |
1 129.2 |
– |
176.9 |
| Economically inactive |
108.0 |
155.7 |
110.9 |
310.0 |
113.4 |
| Marital status |
|
|
|
|
|
| Single |
107.1 |
214.9 |
84.9 |
148.6 |
115.4 |
| Married |
105.6 |
152.0 |
224.3 |
132.5 |
116.3 |
| Widowed, divorced or legally separated |
113.3 |
185.4 |
111.9 |
194.0 |
121.1 |
| Status in the family |
|
|
|
|
|
| Single |
109.9 |
166.4 |
125.8 |
127.4 |
115.9 |
| Not single |
106.9 |
177.6 |
193.9 |
168.0 |
116.8 |
| Of which: |
|
|
|
|
|
| husband |
135.6 |
134.4 |
429.2 |
81.0 |
146.3 |
| wife |
61.4 |
175.8 |
71.6 |
184.6 |
75.9 |
| cohabitant |
116.6 |
313.6 |
47.8 |
230.0 |
130.2 |
| single parent |
127.0 |
324.4 |
36.3 |
92.1 |
131.1 |
| child |
104.1 |
172.2 |
90.2 |
252.8 |
112.1 |
| other |
75.8 |
– |
– |
118.8 |
76.7 |
| Type of household – by activity |
|
|
|
|
|
| There is at least one employed person in the household |
103.7 |
174.7 |
184.6 |
154.2 |
114.4 |
| All members of the household aged 15–74 are unemployed |
164.8 |
– |
– |
– |
164.8 |
| All are economically inactive |
127.2 |
– |
– |
– |
127.2 |
| All are unemployed or economically inactive |
118.6 |
186.3 |
122.3 |
150.9 |
124.2 |
| Number of children under age 19 in the household |
|
|
|
|
|
| no children under age 19 |
112.2 |
152.5 |
283.2 |
180.9 |
121.7 |
| 1 child under age 19 |
82.0 |
241.7 |
43.4 |
75.8 |
95.3 |
| 2 children under age 19 |
135.8 |
153.7 |
105.1 |
128.4 |
135.3 |
| 3 or more children under age 19 |
91.1 |
155.3 |
278.0 |
– |
110.0 |
| Area of education |
|
|
|
|
|
| General programmes |
96.3 |
198.9 |
108.2 |
357.1 |
106.4 |
| Education |
73.5 |
151.2 |
316.3 |
85.8 |
85.6 |
| Humanities and arts |
156.8 |
18.0 |
52.4 |
168.1 |
141.3 |
| Social sciences, business and law |
83.4 |
146.9 |
42.9 |
282.3 |
92.5 |
| Mathematics, computing and other sciences |
74.5 |
34.1 |
148.2 |
11.9 |
69.4 |
| Engineering, manufacturing and construction |
124.3 |
230.6 |
353.6 |
114.2 |
142.0 |
| Agriculture and veterinary |
135.9 |
252.6 |
182.2 |
– |
146.6 |
| Health and welfare |
62.5 |
51.1 |
208.3 |
69.9 |
76.5 |
| Services |
199.8 |
174.4 |
28.9 |
– |
193.1 |
| Participation in formal education |
|
|
|
|
|
| Primary |
1.5 |
– |
– |
– |
1.5 |
| Vocational and apprentice school |
49.2 |
24.8 |
153.7 |
– |
55.1 |
| Secondary school |
64.8 |
86.4 |
46.2 |
565.0 |
74.6 |
| Higher vocational programme in formal education |
37.4 |
– |
– |
– |
37.4 |
| Tertiary education |
150.3 |
206.2 |
8.8 |
– |
154.0 |
| PhD, DLA training |
3.3 |
– |
– |
– |
3.3 |
| Didn't attend formal education |
109.5 |
182.7 |
186.4 |
124.7 |
119.4 |
| County/region of residence |
|
|
|
|
|
| Central Hungary |
91.4 |
165.1 |
89.3 |
69.9 |
94.4 |
| Budapest |
93.0 |
201.6 |
85.5 |
69.9 |
98.1 |
| Pest |
88.9 |
67.4 |
92.4 |
– |
88.5 |
| Central Transdanubia |
135.3 |
175.3 |
89.7 |
170.0 |
139.3 |
| Fejér |
139.1 |
171.5 |
89.7 |
– |
140.7 |
| Komárom-Esztergom |
142.2 |
6.9 |
– |
170.0 |
139.3 |
| Veszprém |
104.0 |
208.3 |
– |
– |
133.3 |
| Western Transdanubia |
126.1 |
120.5 |
93.2 |
152.3 |
125.5 |
| Győr-Moson-Sopron |
353.8 |
129.8 |
– |
– |
328.7 |
| Vas |
55.8 |
114.0 |
93.2 |
215.7 |
69.0 |
| Zala |
37.8 |
132.0 |
– |
64.7 |
46.5 |
| Southern Transdanubia |
84.9 |
257.2 |
139.7 |
282.5 |
123.2 |
| Baranya |
61.7 |
126.5 |
147.7 |
417.8 |
87.6 |
| Somogy |
185.5 |
397.5 |
153.7 |
– |
270.2 |
| Tolna |
76.4 |
112.7 |
39.0 |
142.9 |
80.9 |
| Northern Hungary |
114.3 |
187.5 |
452.7 |
102.5 |
121.3 |
| Borsod-Abaúj-Zemplén |
142.9 |
180.0 |
– |
60.0 |
141.4 |
| Heves |
87.3 |
200.0 |
452.7 |
230.0 |
108.1 |
| Nógrád |
74.5 |
– |
– |
– |
74.5 |
| Northern Great Plain |
107.1 |
140.8 |
664.9 |
177.6 |
131.0 |
| Hajdú-Bihar |
82.4 |
99.4 |
289.0 |
274.7 |
100.3 |
| Jász-Nagykun-Szolnok |
131.0 |
195.2 |
– |
– |
138.0 |
| Szabolcs-Szatmár-Bereg |
115.2 |
– |
1 031.1 |
37.2 |
186.8 |
| Southern Great Plain |
122.9 |
154.4 |
139.3 |
– |
125.0 |
| Bács-Kiskun |
118.3 |
101.9 |
– |
– |
116.9 |
| Békés |
136.3 |
243.6 |
139.3 |
– |
142.4 |
| Csongrád-Csanád |
110.3 |
– |
– |
– |
110.3 |