| Total |
78.0 |
137.5 |
277.1 |
564.1 |
135.1 |
| Sex |
|
|
|
|
|
| Male |
62.3 |
127.4 |
261.4 |
423.4 |
106.4 |
| Female |
93.4 |
145.2 |
285.5 |
636.2 |
159.3 |
| Age groups |
|
|
|
|
|
| 15–19 |
29.8 |
51.6 |
87.9 |
203.5 |
45.0 |
| 20–24 |
43.6 |
78.8 |
88.8 |
890.4 |
78.4 |
| 25–29 |
41.3 |
97.8 |
95.7 |
219.6 |
65.7 |
| 30–34 |
36.7 |
80.5 |
245.6 |
841.1 |
106.7 |
| 35–39 |
36.0 |
96.9 |
226.7 |
324.7 |
86.2 |
| 40–44 |
46.3 |
117.7 |
175.4 |
444.4 |
99.6 |
| 45–49 |
46.8 |
94.6 |
263.2 |
509.3 |
102.6 |
| 50–54 |
67.9 |
126.0 |
241.8 |
389.5 |
118.0 |
| 55–59 |
91.3 |
150.5 |
359.1 |
844.4 |
175.2 |
| 60–64 |
146.9 |
213.4 |
395.0 |
658.9 |
223.9 |
| 65–69 |
157.8 |
277.9 |
412.3 |
633.7 |
237.5 |
| 70–74 |
160.8 |
195.8 |
334.1 |
768.0 |
200.9 |
| Highest level of education |
|
|
|
|
|
| Less than 8 grades of primary school |
88.2 |
119.7 |
59.4 |
1 310.0 |
111.5 |
| Primary school |
71.6 |
110.1 |
347.5 |
711.5 |
123.6 |
| Vocational and apprentice school |
76.9 |
156.6 |
300.3 |
627.3 |
137.6 |
| Secondary general school |
80.8 |
143.2 |
216.7 |
478.4 |
126.4 |
| Secondary vocational school |
92.2 |
147.5 |
283.5 |
479.1 |
145.3 |
| Tertiary education |
69.4 |
122.4 |
245.7 |
556.8 |
136.6 |
| Type of settlement |
|
|
|
|
|
| Village |
72.7 |
108.1 |
224.9 |
535.4 |
118.9 |
| Town |
86.7 |
155.0 |
319.7 |
622.4 |
152.7 |
| Budapest |
62.3 |
159.6 |
240.7 |
440.6 |
115.8 |
| Economic activity |
|
|
|
|
|
| Employed |
51.9 |
105.6 |
217.8 |
485.2 |
103.1 |
| Unemployed |
59.6 |
197.1 |
240.3 |
698.6 |
125.4 |
| Economically inactive |
125.9 |
194.5 |
383.7 |
731.9 |
194.2 |
| Marital status |
|
|
|
|
|
| Single |
44.9 |
88.9 |
200.9 |
305.1 |
76.6 |
| Married |
85.8 |
157.9 |
280.6 |
610.3 |
152.6 |
| Widowed, divorced or legally separated |
116.6 |
149.4 |
340.4 |
728.2 |
178.0 |
| Status in the family |
|
|
|
|
|
| Single |
107.3 |
167.0 |
315.2 |
539.4 |
168.6 |
| Not single |
73.3 |
132.9 |
268.3 |
567.8 |
129.6 |
| Of which: |
|
|
|
|
|
| husband |
72.0 |
149.9 |
242.9 |
479.7 |
124.4 |
| wife |
99.3 |
155.4 |
310.7 |
693.7 |
174.9 |
| cohabitant |
57.3 |
111.0 |
151.3 |
530.7 |
94.1 |
| single parent |
66.8 |
117.4 |
393.2 |
501.3 |
141.6 |
| child |
41.0 |
66.8 |
152.2 |
323.1 |
61.2 |
| other |
94.2 |
161.9 |
361.9 |
524.7 |
155.2 |
| Type of household – by activity |
|
|
|
|
|
| There is at least one employed person in the household |
56.5 |
112.2 |
248.9 |
546.5 |
112.9 |
| All members of the household aged 15–74 are unemployed |
131.6 |
483.3 |
77.2 |
1 102.8 |
229.2 |
| All are economically inactive |
61.1 |
195.7 |
201.6 |
311.5 |
89.1 |
| All are unemployed or economically inactive |
168.2 |
250.1 |
380.2 |
666.8 |
231.1 |
| Number of children under age 19 in the household |
|
|
|
|
|
| no children under age 19 |
95.4 |
165.0 |
298.1 |
580.2 |
156.6 |
| 1 child under age 19 |
50.1 |
94.6 |
213.3 |
820.5 |
106.1 |
| 2 children under age 19 |
41.8 |
81.6 |
251.7 |
252.8 |
87.7 |
| 3 or more children under age 19 |
35.8 |
90.5 |
219.8 |
212.9 |
68.8 |
| Area of education |
|
|
|
|
|
| General programmes |
75.8 |
124.8 |
279.6 |
601.2 |
124.1 |
| Education |
97.8 |
158.9 |
203.8 |
598.5 |
166.8 |
| Humanities and arts |
54.2 |
83.8 |
130.1 |
599.7 |
96.9 |
| Social sciences, journalism and other information services |
78.3 |
138.0 |
323.2 |
291.0 |
126.6 |
| Business, administration and law |
88.8 |
132.6 |
288.5 |
686.4 |
165.9 |
| Natural sciences, mathematics and statistics |
78.5 |
141.0 |
181.8 |
– |
109.9 |
| Information and communication technologies |
79.0 |
90.7 |
159.7 |
423.0 |
117.9 |
| Engineering, manufacturing and construction |
75.8 |
152.6 |
300.8 |
566.4 |
132.0 |
| Agriculture and veterinary |
78.9 |
151.5 |
229.4 |
345.7 |
127.7 |
| Health and welfare |
87.8 |
147.5 |
300.8 |
484.9 |
154.1 |
| Services |
56.6 |
127.2 |
293.8 |
408.2 |
120.5 |
| Participation in formal education |
|
|
|
|
|
| Primary |
18.7 |
27.8 |
26.7 |
– |
21.1 |
| Vocational and apprentice school |
22.1 |
80.5 |
53.9 |
628.6 |
52.2 |
| Secondary school |
45.4 |
38.6 |
101.3 |
236.7 |
55.2 |
| Higher vocational programme in formal education |
45.8 |
55.0 |
37.0 |
708.9 |
106.9 |
| Tertiary education |
33.8 |
55.7 |
94.8 |
223.7 |
55.5 |
| PhD, DLA training |
23.1 |
3.3 |
– |
– |
21.1 |
| Didn't attend formal education |
81.1 |
143.3 |
285.0 |
586.4 |
140.7 |
| County/region of residence |
|
|
|
|
|
| Central Hungary |
64.6 |
132.9 |
251.1 |
512.8 |
123.8 |
| Budapest |
62.3 |
159.6 |
240.7 |
440.6 |
115.8 |
| Pest |
67.6 |
109.5 |
260.0 |
554.9 |
132.3 |
| Central Transdanubia |
93.1 |
191.4 |
299.9 |
851.5 |
158.3 |
| Fejér |
47.7 |
136.5 |
111.5 |
84.0 |
76.2 |
| Komárom-Esztergom |
169.3 |
189.9 |
325.3 |
417.5 |
195.2 |
| Veszprém |
84.7 |
244.2 |
426.3 |
1 196.9 |
208.5 |
| Western Transdanubia |
59.7 |
84.0 |
255.6 |
411.8 |
106.1 |
| Győr-Moson-Sopron |
60.4 |
77.2 |
265.6 |
616.2 |
115.9 |
| Vas |
49.1 |
86.2 |
310.9 |
437.7 |
95.8 |
| Zala |
70.2 |
88.0 |
215.0 |
300.8 |
106.8 |
| Southern Transdanubia |
83.0 |
148.8 |
430.7 |
490.9 |
156.9 |
| Baranya |
70.5 |
131.5 |
306.1 |
415.2 |
117.0 |
| Somogy |
87.8 |
144.0 |
374.3 |
549.5 |
170.3 |
| Tolna |
95.1 |
173.1 |
561.7 |
528.4 |
191.0 |
| Northern Hungary |
96.2 |
140.1 |
179.4 |
555.9 |
145.7 |
| Borsod-Abaúj-Zemplén |
121.6 |
161.0 |
138.9 |
432.5 |
149.5 |
| Heves |
71.4 |
100.9 |
251.9 |
611.6 |
151.6 |
| Nógrád |
62.9 |
149.4 |
171.3 |
741.6 |
127.7 |
| Northern Great Plain |
82.5 |
125.5 |
304.7 |
661.4 |
132.5 |
| Hajdú-Bihar |
114.8 |
192.2 |
320.2 |
1 229.2 |
195.9 |
| Jász-Nagykun-Szolnok |
46.6 |
70.4 |
232.7 |
476.8 |
76.8 |
| Szabolcs-Szatmár-Bereg |
94.6 |
139.3 |
355.5 |
363.2 |
142.7 |
| Southern Great Plain |
71.9 |
150.2 |
341.0 |
462.8 |
132.5 |
| Bács-Kiskun |
55.4 |
154.4 |
297.5 |
494.9 |
144.6 |
| Békés |
104.6 |
218.4 |
1 024.3 |
75.1 |
165.3 |
| Csongrád-Csanád |
66.6 |
88.6 |
296.6 |
301.3 |
89.1 |