| Total |
88.9 |
143.2 |
272.2 |
418.1 |
149.3 |
| Sex |
|
|
|
|
|
| Male |
74.6 |
117.6 |
247.3 |
428.0 |
120.6 |
| Female |
104.5 |
164.3 |
286.1 |
412.6 |
174.7 |
| Age groups |
|
|
|
|
|
| 15–19 |
36.6 |
66.1 |
153.2 |
156.6 |
63.3 |
| 20–24 |
48.6 |
100.8 |
98.4 |
127.9 |
73.8 |
| 25–29 |
62.6 |
92.4 |
147.2 |
672.3 |
109.5 |
| 30–34 |
58.8 |
102.1 |
149.2 |
270.4 |
96.3 |
| 35–39 |
55.0 |
103.3 |
144.2 |
372.8 |
104.4 |
| 40–44 |
62.1 |
136.6 |
230.3 |
409.0 |
127.1 |
| 45–49 |
72.6 |
106.6 |
292.1 |
323.9 |
138.9 |
| 50–54 |
90.6 |
136.4 |
334.2 |
341.1 |
160.9 |
| 55–59 |
114.1 |
188.4 |
454.7 |
446.3 |
212.8 |
| 60–64 |
161.4 |
266.4 |
354.5 |
517.3 |
240.6 |
| 65–69 |
160.0 |
217.9 |
440.4 |
1 119.5 |
242.8 |
| 70–74 |
127.2 |
199.4 |
279.5 |
562.3 |
170.5 |
| Highest level of education |
|
|
|
|
|
| Less than 8 grades of primary school |
81.2 |
205.6 |
512.9 |
206.3 |
179.9 |
| Primary school |
95.1 |
149.3 |
257.8 |
338.5 |
141.6 |
| Vocational and apprentice school |
85.2 |
143.0 |
267.2 |
400.9 |
136.6 |
| Secondary general school |
90.4 |
115.6 |
272.3 |
334.0 |
135.2 |
| Secondary vocational school |
96.1 |
154.5 |
317.0 |
418.5 |
168.0 |
| Tertiary education |
79.5 |
137.9 |
231.7 |
484.5 |
158.7 |
| Type of settlement |
|
|
|
|
|
| Village |
88.0 |
135.6 |
260.3 |
463.9 |
145.7 |
| Town |
86.6 |
143.3 |
279.9 |
378.0 |
149.4 |
| Budapest |
100.0 |
165.8 |
272.2 |
449.3 |
159.5 |
| Economic activity |
|
|
|
|
|
| Employed |
65.6 |
110.2 |
236.5 |
378.1 |
122.8 |
| Unemployed |
83.3 |
153.6 |
292.1 |
389.3 |
155.5 |
| Economically inactive |
123.0 |
197.3 |
325.5 |
505.7 |
189.7 |
| Marital status |
|
|
|
|
|
| Single |
54.9 |
99.5 |
171.5 |
346.0 |
96.0 |
| Married |
98.7 |
149.6 |
288.8 |
450.7 |
165.1 |
| Widowed, divorced or legally separated |
119.1 |
204.0 |
362.3 |
399.2 |
191.8 |
| Status in the family |
|
|
|
|
|
| Single |
124.9 |
180.7 |
363.7 |
405.3 |
188.1 |
| Not single |
82.8 |
137.1 |
258.5 |
420.2 |
143.0 |
| Of which: |
|
|
|
|
|
| husband |
84.6 |
129.5 |
277.4 |
471.3 |
137.6 |
| wife |
114.3 |
168.5 |
297.4 |
436.5 |
189.8 |
| cohabitant |
62.7 |
121.6 |
273.1 |
417.8 |
130.8 |
| single parent |
96.1 |
162.6 |
206.2 |
428.6 |
149.8 |
| child |
45.9 |
76.5 |
123.2 |
292.9 |
72.4 |
| other |
67.9 |
218.2 |
194.6 |
239.7 |
134.7 |
| Type of household – by activity |
|
|
|
|
|
| There is at least one employed person in the household |
70.3 |
117.6 |
244.2 |
367.2 |
127.4 |
| All members of the household aged 15–74 are unemployed |
79.9 |
156.8 |
202.3 |
648.1 |
140.7 |
| All are economically inactive |
85.4 |
225.9 |
317.9 |
285.2 |
180.9 |
| All are unemployed or economically inactive |
157.7 |
245.6 |
392.8 |
738.1 |
235.5 |
| Number of children under age 19 in the household |
|
|
|
|
|
| no children under age 19 |
106.0 |
162.2 |
320.7 |
488.0 |
172.1 |
| 1 child under age 19 |
58.8 |
97.5 |
176.4 |
324.5 |
103.0 |
| 2 children under age 19 |
57.2 |
131.5 |
188.9 |
338.2 |
118.3 |
| 3 or more children under age 19 |
58.5 |
112.3 |
254.6 |
259.7 |
114.1 |
| Area of education |
|
|
|
|
|
| General programmes |
92.7 |
140.6 |
259.9 |
337.4 |
139.7 |
| Education |
89.3 |
154.6 |
241.4 |
473.3 |
191.8 |
| Humanities and arts |
87.7 |
207.9 |
236.5 |
466.2 |
170.9 |
| Social sciences, business and law |
94.2 |
137.6 |
353.4 |
422.8 |
167.4 |
| Mathematics, computing and other sciences |
63.5 |
77.3 |
210.9 |
189.8 |
94.9 |
| Engineering, manufacturing and construction |
80.4 |
140.8 |
268.5 |
485.5 |
138.4 |
| Agriculture and veterinary |
96.1 |
198.3 |
220.3 |
532.4 |
172.2 |
| Health and welfare |
105.5 |
165.9 |
263.2 |
439.7 |
179.1 |
| Services |
98.8 |
135.7 |
221.0 |
333.4 |
141.7 |
| Participation in formal education |
|
|
|
|
|
| Primary |
15.5 |
93.5 |
70.0 |
24.1 |
44.4 |
| Vocational and apprentice school |
52.7 |
41.8 |
155.9 |
129.7 |
60.8 |
| Secondary school |
32.9 |
69.7 |
86.1 |
160.2 |
56.7 |
| Higher vocational programme in formal education |
102.9 |
41.5 |
65.7 |
75.7 |
78.0 |
| Tertiary education |
38.9 |
77.7 |
94.2 |
208.3 |
69.5 |
| PhD, DLA training |
300.7 |
130.2 |
25.4 |
– |
161.1 |
| Didn't attend formal education |
93.0 |
149.3 |
285.3 |
438.8 |
156.4 |
| County/region of residence |
|
|
|
|
|
| Central Hungary |
80.0 |
147.8 |
248.8 |
406.9 |
136.8 |
| Budapest |
100.0 |
165.8 |
272.2 |
449.3 |
159.5 |
| Pest |
60.5 |
127.9 |
229.7 |
344.7 |
113.8 |
| Central Transdanubia |
100.8 |
159.0 |
502.2 |
354.3 |
160.3 |
| Fejér |
75.2 |
120.1 |
130.6 |
158.2 |
93.9 |
| Komárom-Esztergom |
109.5 |
110.6 |
1 057.8 |
575.1 |
210.7 |
| Veszprém |
126.5 |
232.9 |
495.1 |
355.4 |
194.9 |
| Western Transdanubia |
86.4 |
132.0 |
292.7 |
346.6 |
141.0 |
| Győr-Moson-Sopron |
87.8 |
146.7 |
246.2 |
536.8 |
153.5 |
| Vas |
66.7 |
111.0 |
405.8 |
183.0 |
117.7 |
| Zala |
111.5 |
132.1 |
294.0 |
217.8 |
147.1 |
| Southern Transdanubia |
127.8 |
233.2 |
408.2 |
580.0 |
239.1 |
| Baranya |
140.4 |
281.5 |
449.1 |
400.5 |
243.8 |
| Somogy |
113.1 |
262.0 |
481.6 |
1 089.0 |
309.3 |
| Tolna |
126.5 |
171.1 |
304.8 |
265.3 |
178.1 |
| Northern Hungary |
81.8 |
137.1 |
243.5 |
531.5 |
158.5 |
| Borsod-Abaúj-Zemplén |
94.4 |
189.5 |
264.2 |
725.4 |
204.3 |
| Heves |
103.6 |
98.5 |
282.3 |
231.3 |
138.0 |
| Nógrád |
40.6 |
69.6 |
150.8 |
253.9 |
80.3 |
| Northern Great Plain |
90.5 |
126.9 |
227.0 |
324.5 |
134.2 |
| Hajdú-Bihar |
87.0 |
161.9 |
329.2 |
332.1 |
152.0 |
| Jász-Nagykun-Szolnok |
67.0 |
92.7 |
119.4 |
285.7 |
97.4 |
| Szabolcs-Szatmár-Bereg |
111.2 |
151.1 |
280.9 |
364.8 |
157.8 |
| Southern Great Plain |
77.4 |
108.7 |
215.7 |
354.4 |
122.2 |
| Bács-Kiskun |
87.3 |
132.4 |
200.0 |
371.6 |
127.7 |
| Békés |
94.7 |
130.4 |
248.7 |
478.2 |
138.3 |
| Csongrád-Csanád |
50.3 |
77.1 |
217.4 |
309.4 |
107.6 |