| Total |
83.2 |
154.6 |
264.9 |
436.2 |
134.9 |
| Sex |
|
|
|
|
|
| Male |
69.3 |
129.8 |
241.2 |
445.0 |
110.6 |
| Female |
97.2 |
174.5 |
279.1 |
431.0 |
156.3 |
| Age groups |
|
|
|
|
|
| 15–19 |
29.1 |
56.6 |
109.5 |
288.9 |
53.6 |
| 20–24 |
45.3 |
117.3 |
155.2 |
229.2 |
77.9 |
| 25–29 |
47.7 |
94.0 |
125.0 |
532.9 |
81.6 |
| 30–34 |
59.2 |
78.0 |
178.7 |
274.1 |
87.5 |
| 35–39 |
48.0 |
107.5 |
196.4 |
314.1 |
90.2 |
| 40–44 |
60.5 |
102.7 |
204.8 |
396.6 |
102.8 |
| 45–49 |
74.3 |
139.4 |
229.9 |
368.4 |
121.8 |
| 50–54 |
83.4 |
159.2 |
300.8 |
409.0 |
144.6 |
| 55–59 |
99.1 |
165.5 |
293.4 |
557.9 |
161.5 |
| 60–64 |
126.3 |
196.3 |
359.2 |
659.1 |
187.4 |
| 65–69 |
137.4 |
283.3 |
375.0 |
540.3 |
212.7 |
| 70–74 |
138.3 |
406.1 |
534.9 |
794.9 |
241.6 |
| Highest level of education |
|
|
|
|
|
| Less than 8 grades of primary school |
88.9 |
195.8 |
521.6 |
395.2 |
188.9 |
| Primary school |
86.1 |
150.5 |
212.5 |
371.7 |
123.7 |
| Vocational and apprentice school |
80.6 |
153.1 |
293.1 |
434.5 |
130.0 |
| Secondary general school |
69.2 |
119.3 |
281.3 |
410.5 |
119.4 |
| Secondary vocational school |
90.2 |
151.9 |
308.3 |
390.2 |
141.5 |
| Tertiary education |
84.3 |
177.8 |
207.1 |
484.2 |
148.6 |
| Type of settlement |
|
|
|
|
|
| Village |
74.8 |
153.6 |
256.5 |
380.4 |
127.3 |
| Town |
79.7 |
127.9 |
277.9 |
445.4 |
128.9 |
| Budapest |
113.7 |
270.4 |
232.3 |
560.7 |
175.5 |
| Economic activity |
|
|
|
|
|
| Employed |
64.1 |
117.3 |
217.3 |
422.5 |
108.9 |
| Unemployed |
83.9 |
157.5 |
339.5 |
307.3 |
136.9 |
| Economically inactive |
113.7 |
223.2 |
332.6 |
472.9 |
178.2 |
| Marital status |
|
|
|
|
|
| Single |
50.0 |
91.1 |
156.6 |
350.6 |
79.6 |
| Married |
93.0 |
161.9 |
295.2 |
476.0 |
151.3 |
| Widowed, divorced or legally separated |
108.1 |
227.7 |
306.8 |
398.9 |
170.4 |
| Status in the family |
|
|
|
|
|
| Single |
101.9 |
168.2 |
293.7 |
484.8 |
151.9 |
| Not single |
79.7 |
152.4 |
258.7 |
430.4 |
131.8 |
| Of which: |
|
|
|
|
|
| husband |
79.2 |
156.9 |
287.9 |
477.0 |
132.9 |
| wife |
108.3 |
166.5 |
299.6 |
470.2 |
167.7 |
| cohabitant |
64.4 |
111.1 |
222.3 |
392.1 |
105.3 |
| single parent |
88.1 |
120.0 |
221.8 |
96.0 |
111.5 |
| child |
42.1 |
80.8 |
124.1 |
328.1 |
66.9 |
| other |
69.5 |
588.3 |
190.8 |
866.2 |
221.7 |
| Type of household – by activity |
|
|
|
|
|
| There is at least one employed person in the household |
66.6 |
126.1 |
222.2 |
423.9 |
113.4 |
| All members of the household aged 15–74 are unemployed |
97.3 |
119.5 |
558.2 |
208.3 |
163.9 |
| All are economically inactive |
125.3 |
117.6 |
173.0 |
179.8 |
130.4 |
| All are unemployed or economically inactive |
141.9 |
283.7 |
417.3 |
537.6 |
219.0 |
| Number of children under age 19 in the household |
|
|
|
|
|
| no children under age 19 |
100.5 |
175.1 |
294.7 |
548.8 |
154.9 |
| 1 child under age 19 |
50.7 |
126.4 |
220.3 |
322.6 |
102.4 |
| 2 children under age 19 |
43.3 |
89.3 |
181.9 |
284.9 |
83.9 |
| 3 or more children under age 19 |
45.5 |
141.3 |
209.5 |
210.2 |
98.6 |
| Area of education |
|
|
|
|
|
| General programmes |
79.6 |
140.8 |
257.6 |
390.1 |
124.4 |
| Education |
64.5 |
181.5 |
228.5 |
651.4 |
163.6 |
| Humanities and arts |
113.2 |
120.1 |
228.7 |
497.6 |
149.5 |
| Social sciences, business and law |
99.4 |
151.4 |
238.9 |
369.9 |
145.4 |
| Mathematics, computing and other sciences |
106.6 |
193.3 |
240.1 |
276.0 |
145.9 |
| Engineering, manufacturing and construction |
75.4 |
143.4 |
283.8 |
374.2 |
119.4 |
| Agriculture and veterinary |
99.9 |
118.9 |
280.3 |
660.5 |
147.0 |
| Health and welfare |
95.8 |
387.5 |
305.5 |
417.3 |
214.5 |
| Services |
79.2 |
123.9 |
316.2 |
577.8 |
135.7 |
| Participation in formal education |
|
|
|
|
|
| Primary |
15.5 |
31.2 |
61.0 |
883.3 |
69.2 |
| Vocational and apprentice school |
40.9 |
53.1 |
202.8 |
173.4 |
61.7 |
| Secondary school |
24.0 |
45.0 |
101.3 |
118.3 |
40.1 |
| Higher vocational programme in formal education |
9.7 |
127.6 |
37.6 |
67.7 |
32.2 |
| Tertiary education |
36.1 |
53.2 |
53.6 |
322.5 |
53.4 |
| PhD, DLA training |
216.0 |
– |
268.0 |
1 308.1 |
709.2 |
| Didn't attend formal education |
86.7 |
160.9 |
275.5 |
444.5 |
140.0 |
| County/region of residence |
|
|
|
|
|
| Central Hungary |
99.1 |
199.0 |
226.7 |
438.4 |
150.6 |
| Budapest |
113.7 |
270.4 |
232.3 |
560.7 |
175.5 |
| Pest |
75.0 |
113.6 |
221.7 |
306.9 |
115.6 |
| Central Transdanubia |
68.9 |
116.3 |
184.5 |
456.1 |
100.3 |
| Fejér |
46.3 |
67.3 |
130.8 |
437.1 |
63.0 |
| Komárom-Esztergom |
71.9 |
142.0 |
183.6 |
503.6 |
99.0 |
| Veszprém |
90.8 |
152.9 |
213.2 |
453.6 |
136.9 |
| Western Transdanubia |
88.1 |
147.9 |
231.1 |
537.1 |
140.9 |
| Győr-Moson-Sopron |
46.9 |
116.3 |
283.6 |
770.2 |
127.6 |
| Vas |
123.6 |
181.2 |
150.5 |
308.5 |
149.1 |
| Zala |
111.0 |
175.0 |
228.5 |
430.7 |
155.2 |
| Southern Transdanubia |
96.0 |
139.0 |
284.8 |
398.9 |
156.7 |
| Baranya |
127.3 |
145.7 |
204.9 |
445.7 |
167.4 |
| Somogy |
105.1 |
131.1 |
317.4 |
328.5 |
178.8 |
| Tolna |
55.3 |
139.7 |
364.6 |
514.7 |
120.3 |
| Northern Hungary |
76.5 |
206.0 |
410.4 |
411.1 |
170.8 |
| Borsod-Abaúj-Zemplén |
89.1 |
258.3 |
528.2 |
530.4 |
212.8 |
| Heves |
60.5 |
95.9 |
163.8 |
360.9 |
94.2 |
| Nógrád |
60.1 |
148.6 |
337.4 |
247.2 |
139.3 |
| Northern Great Plain |
67.4 |
105.3 |
221.5 |
490.1 |
103.5 |
| Hajdú-Bihar |
69.1 |
185.0 |
279.2 |
706.3 |
127.1 |
| Jász-Nagykun-Szolnok |
69.6 |
70.6 |
196.3 |
190.5 |
85.5 |
| Szabolcs-Szatmár-Bereg |
64.5 |
104.2 |
219.7 |
586.8 |
107.0 |
| Southern Great Plain |
85.6 |
138.0 |
251.7 |
280.0 |
122.0 |
| Bács-Kiskun |
74.5 |
102.6 |
132.1 |
248.1 |
96.7 |
| Békés |
102.2 |
198.5 |
577.9 |
198.8 |
172.1 |
| Csongrád-Csanád |
83.6 |
167.3 |
265.5 |
376.2 |
115.3 |