Total |
2 046 860 |
126 512 |
56 374 |
2 229 745 |
Sex |
|
|
|
|
Male |
970 292 |
63 617 |
30 256 |
1 064 165 |
Female |
1 076 567 |
62 895 |
26 118 |
1 165 580 |
Age groups, year-old |
|
|
|
|
15–19 |
76 394 |
50 803 |
10 232 |
137 429 |
20–24 |
109 812 |
6 114 |
2 882 |
118 808 |
25–29 |
156 616 |
3 974 |
2 901 |
163 490 |
30–34 |
160 595 |
5 720 |
3 447 |
169 761 |
35–39 |
186 245 |
10 721 |
4 273 |
201 239 |
40–44 |
251 492 |
9 657 |
6 529 |
267 678 |
45–49 |
237 552 |
10 149 |
5 367 |
253 067 |
50–54 |
226 112 |
7 226 |
5 830 |
239 168 |
55–59 |
178 379 |
5 348 |
5 329 |
189 055 |
60–64 |
184 612 |
7 304 |
3 985 |
195 901 |
65–69 |
183 318 |
4 968 |
3 479 |
191 765 |
70–74 |
95 733 |
4 528 |
2 121 |
102 383 |
Highest level of education |
|
|
|
|
Less than 8 grades of primary school |
16 635 |
423 |
– |
17 058 |
Primary school |
308 175 |
48 073 |
10 153 |
366 401 |
Vocational and apprentice school |
516 243 |
12 354 |
6 634 |
535 230 |
Secondary general school |
260 004 |
16 594 |
9 250 |
285 848 |
Secondary vocational school |
412 004 |
13 616 |
8 980 |
434 600 |
Tertiary education |
533 800 |
35 452 |
21 358 |
590 609 |
Type of settlement |
|
|
|
|
Village |
727 948 |
40 543 |
18 885 |
787 375 |
Town |
1 083 972 |
58 660 |
29 173 |
1 171 806 |
Budapest |
234 940 |
27 308 |
8 316 |
270 564 |
Economic activity |
|
|
|
|
Employed |
1 355 240 |
59 427 |
35 027 |
1 449 694 |
Unemployed |
65 362 |
953 |
2 324 |
68 639 |
Economically inactive |
626 258 |
66 132 |
19 022 |
711 412 |
Marital status |
|
|
|
|
Single |
616 036 |
71 688 |
21 822 |
709 546 |
Married |
1 097 883 |
44 807 |
28 445 |
1 171 135 |
Widowed, divorced or legally separated |
332 940 |
10 017 |
6 107 |
349 064 |
Status in the family |
|
|
|
|
Single |
284 846 |
8 861 |
8 771 |
302 477 |
Not single |
1 762 014 |
117 650 |
47 603 |
1 927 268 |
Of which: |
|
|
|
|
husband |
503 624 |
25 303 |
15 884 |
544 811 |
wife |
564 694 |
18 675 |
10 810 |
594 178 |
cohabitant |
278 300 |
8 272 |
3 324 |
289 896 |
single parent |
106 130 |
5 291 |
2 780 |
114 201 |
child |
257 505 |
58 134 |
14 253 |
329 893 |
other |
51 761 |
1 975 |
552 |
54 289 |
Type of household – by activity |
|
|
|
|
There is at least one employed person in the household |
1 699 244 |
115 338 |
50 279 |
1 864 861 |
All members of the household aged 15–74 are unemployed |
15 231 |
160 |
445 |
15 836 |
All are economically inactive |
21 564 |
1 069 |
790 |
23 423 |
All are unemployed or economically inactive |
310 821 |
9 944 |
4 860 |
325 625 |
Number of children under age 19 in the household |
|
|
|
|
no children under age 19 |
1 293 193 |
48 345 |
30 388 |
1 371 926 |
1 child under age 19 |
394 495 |
34 963 |
13 422 |
442 880 |
2 children under age 19 |
249 490 |
30 770 |
8 212 |
288 472 |
3 or more children under age 19 |
109 682 |
12 433 |
4 352 |
126 467 |
Area of education |
|
|
|
|
General programmes |
584 813 |
65 090 |
19 403 |
669 306 |
Education |
118 506 |
10 323 |
6 041 |
134 870 |
Humanities and arts |
45 759 |
3 200 |
2 734 |
51 693 |
Social sciences, journalism and other information services |
96 032 |
6 599 |
2 816 |
105 447 |
Business, administration and law |
245 313 |
10 649 |
5 803 |
261 764 |
Natural sciences, mathematics and statistics |
24 774 |
1 078 |
133 |
25 985 |
Information and communication technologies |
38 962 |
1 650 |
817 |
41 428 |
Engineering, manufacturing and construction |
599 465 |
17 722 |
11 086 |
628 273 |
Agriculture and veterinary |
59 932 |
1 839 |
1 616 |
63 387 |
Health and welfare |
108 111 |
4 118 |
3 216 |
115 445 |
Services |
125 191 |
4 245 |
2 709 |
132 145 |
Participation in formal education |
|
|
|
|
Primary |
1 552 |
423 |
– |
1 975 |
Vocational and apprentice school |
21 952 |
10 715 |
2 130 |
34 796 |
Secondary school |
46 777 |
38 656 |
8 540 |
93 973 |
Higher vocational programme in formal education |
2 882 |
1 843 |
– |
4 725 |
Tertiary education |
60 484 |
4 492 |
1 712 |
66 688 |
PhD, DLA training |
472 |
228 |
– |
699 |
Didn't attend formal education |
1 912 740 |
70 155 |
43 992 |
2 026 888 |
County/region of residence |
|
|
|
|
Central Hungary |
469 438 |
53 667 |
19 356 |
542 461 |
Budapest |
234 940 |
27 308 |
8 316 |
270 564 |
Pest |
234 498 |
26 359 |
11 040 |
271 897 |
Central Transdanubia |
204 287 |
12 109 |
4 119 |
220 515 |
Fejér |
90 328 |
4 725 |
437 |
95 490 |
Komárom-Esztergom |
47 279 |
3 367 |
2 588 |
53 234 |
Veszprém |
66 681 |
4 017 |
1 095 |
71 792 |
Western Transdanubia |
201 974 |
14 631 |
7 098 |
223 703 |
Győr-Moson-Sopron |
79 095 |
5 737 |
1 748 |
86 580 |
Vas |
55 163 |
5 895 |
1 789 |
62 848 |
Zala |
67 716 |
2 998 |
3 561 |
74 275 |
Southern Transdanubia |
187 687 |
8 814 |
7 850 |
204 351 |
Baranya |
59 799 |
5 197 |
2 792 |
67 789 |
Somogy |
66 472 |
1 792 |
1 986 |
70 250 |
Tolna |
61 415 |
1 825 |
3 072 |
66 312 |
Northern Hungary |
322 551 |
8 578 |
8 112 |
339 241 |
Borsod-Abaúj-Zemplén |
178 360 |
7 252 |
5 848 |
191 459 |
Heves |
90 771 |
222 |
831 |
91 824 |
Nógrád |
53 420 |
1 104 |
1 433 |
55 957 |
Northern Great Plain |
435 876 |
13 084 |
5 248 |
454 208 |
Hajdú-Bihar |
129 267 |
6 233 |
2 746 |
138 245 |
Jász-Nagykun-Szolnok |
172 698 |
1 567 |
1 301 |
175 567 |
Szabolcs-Szatmár-Bereg |
133 912 |
5 284 |
1 201 |
140 396 |
Southern Great Plain |
225 047 |
15 630 |
4 589 |
245 266 |
Bács-Kiskun |
101 035 |
5 643 |
2 479 |
109 157 |
Békés |
56 762 |
6 304 |
1 261 |
64 327 |
Csongrád-Csanád |
67 250 |
3 683 |
849 |
71 782 |