| Total |
17 093 762 |
2 210 765 |
1 082 031 |
20 386 558 |
| Sex |
|
|
|
|
| Male |
9 222 848 |
1 432 556 |
278 308 |
10 933 712 |
| Female |
7 870 914 |
778 209 |
803 723 |
9 452 846 |
| Age groups |
|
|
|
|
| 15–19 |
3 320 238 |
209 450 |
56 214 |
3 585 902 |
| 20–24 |
1 269 636 |
6 100 |
10 975 |
1 286 711 |
| 25–29 |
1 449 035 |
157 863 |
– |
1 606 898 |
| 30–34 |
976 672 |
2 700 |
– |
979 372 |
| 35–39 |
1 486 818 |
723 754 |
9 288 |
2 219 860 |
| 40–44 |
1 178 406 |
233 399 |
57 388 |
1 469 193 |
| 45–49 |
1 659 673 |
47 376 |
64 566 |
1 771 615 |
| 50–54 |
1 318 101 |
143 868 |
679 954 |
2 141 923 |
| 55–59 |
1 295 341 |
79 018 |
20 683 |
1 395 042 |
| 60–64 |
1 571 481 |
76 536 |
135 652 |
1 783 669 |
| 65–69 |
1 075 044 |
381 230 |
38 275 |
1 494 549 |
| 70–74 |
493 316 |
149 472 |
9 036 |
651 824 |
| Highest level of education |
|
|
|
|
| Less than 8 grades of primary school |
50 799 |
– |
– |
50 799 |
| Primary school |
3 612 843 |
109 858 |
67 759 |
3 790 460 |
| Vocational and apprentice school |
3 237 079 |
103 369 |
74 351 |
3 414 799 |
| Secondary general school |
1 781 240 |
185 707 |
77 269 |
2 044 216 |
| Secondary vocational school |
2 386 373 |
743 136 |
9 600 |
3 139 109 |
| Tertiary education |
6 025 427 |
1 068 695 |
853 052 |
7 947 174 |
| Type of settlement |
|
|
|
|
| Village |
5 202 739 |
456 782 |
264 497 |
5 924 018 |
| Town |
8 435 971 |
1 182 415 |
806 559 |
10 424 945 |
| Budapest |
3 455 051 |
571 568 |
10 975 |
4 037 594 |
| Economic activity |
|
|
|
|
| Employed |
8 171 153 |
1 264 356 |
933 810 |
10 369 319 |
| Unemployed |
728 411 |
192 384 |
– |
920 795 |
| Economically inactive |
8 194 198 |
754 025 |
148 221 |
9 096 444 |
| Marital status |
|
|
|
|
| Single |
9 000 916 |
521 408 |
68 755 |
9 591 079 |
| Married |
6 301 649 |
971 038 |
986 124 |
8 258 811 |
| Widowed, divorced or legally separated |
1 791 197 |
718 319 |
27 152 |
2 536 668 |
| Status in the family |
|
|
|
|
| Single |
2 688 481 |
136 571 |
34 568 |
2 859 620 |
| Not single |
14 405 281 |
2 074 194 |
1 047 463 |
17 526 938 |
| Of which: |
|
|
|
|
| husband |
3 558 272 |
612 825 |
249 976 |
4 421 073 |
| wife |
2 585 359 |
358 214 |
721 874 |
3 665 447 |
| cohabitant |
981 266 |
24 552 |
– |
1 005 818 |
| single parent |
819 362 |
29 841 |
8 424 |
857 627 |
| child |
5 999 396 |
404 405 |
67 189 |
6 470 990 |
| other |
461 626 |
644 358 |
– |
1 105 984 |
| Type of household – by activity |
|
|
|
|
| There is at least one employed person in the household |
13 316 619 |
2 068 298 |
1 010 287 |
16 395 204 |
| All members of the household aged 15–74 are unemployed |
331 399 |
– |
– |
331 399 |
| All are economically inactive |
402 641 |
– |
– |
402 641 |
| All are unemployed or economically inactive |
3 043 103 |
142 467 |
71 744 |
3 257 314 |
| Number of children under age 19 in the household |
|
|
|
|
| no children under age 19 |
10 381 068 |
1 778 710 |
885 004 |
13 044 782 |
| 1 child under age 19 |
3 561 298 |
126 739 |
147 312 |
3 835 349 |
| 2 children under age 19 |
2 160 276 |
73 566 |
40 427 |
2 274 269 |
| 3 or more children under age 19 |
991 120 |
231 750 |
9 288 |
1 232 158 |
| Area of education |
|
|
|
|
| General programmes |
5 368 502 |
291 282 |
145 028 |
5 804 812 |
| Education |
1 028 738 |
210 967 |
96 774 |
1 336 479 |
| Humanities and arts |
502 931 |
197 726 |
38 684 |
739 341 |
| Social sciences, business and law |
2 921 979 |
245 316 |
682 878 |
3 850 173 |
| Mathematics, computing and other sciences |
675 148 |
669 900 |
22 644 |
1 367 692 |
| Engineering, manufacturing and construction |
4 451 389 |
184 326 |
66 935 |
4 702 650 |
| Agriculture and veterinary |
399 454 |
377 510 |
1 566 |
778 530 |
| Health and welfare |
739 270 |
14 850 |
– |
754 120 |
| Services |
1 006 351 |
18 888 |
27 522 |
1 052 761 |
| Participation in formal education |
|
|
|
|
| Primary |
30 099 |
– |
– |
30 099 |
| Vocational and apprentice school |
633 125 |
16 225 |
1 944 |
651 294 |
| Secondary school |
2 443 926 |
86 825 |
27 540 |
2 558 291 |
| Higher vocational programme in formal education |
68 841 |
– |
– |
68 841 |
| Tertiary education |
1 387 565 |
145 652 |
37 705 |
1 570 922 |
| PhD, DLA training |
990 |
– |
– |
990 |
| Didn't attend formal education |
12 529 217 |
1 962 063 |
1 014 842 |
15 506 122 |
| County/region of residence |
|
|
|
|
| Central Hungary |
6 016 914 |
658 261 |
23 294 |
6 698 469 |
| Budapest |
3 455 051 |
571 568 |
10 975 |
4 037 594 |
| Pest |
2 561 863 |
86 693 |
12 319 |
2 660 875 |
| Central Transdanubia |
2 120 926 |
137 300 |
109 514 |
2 367 740 |
| Fejér |
328 287 |
75 980 |
– |
404 267 |
| Komárom-Esztergom |
1 138 509 |
4 340 |
5 974 |
1 148 823 |
| Veszprém |
654 130 |
56 980 |
103 540 |
814 650 |
| Western Transdanubia |
1 470 884 |
122 846 |
703 056 |
2 296 786 |
| Győr-Moson-Sopron |
454 597 |
47 730 |
637 794 |
1 140 121 |
| Vas |
719 462 |
73 676 |
65 262 |
858 400 |
| Zala |
296 825 |
1 440 |
– |
298 265 |
| Southern Transdanubia |
1 435 559 |
61 240 |
65 840 |
1 562 639 |
| Baranya |
708 361 |
35 432 |
7 956 |
751 749 |
| Somogy |
582 844 |
24 584 |
48 596 |
656 024 |
| Tolna |
144 355 |
1 224 |
9 288 |
154 867 |
| Northern Hungary |
1 624 711 |
926 764 |
25 849 |
2 577 324 |
| Borsod-Abaúj-Zemplén |
1 137 096 |
126 124 |
2 592 |
1 265 812 |
| Heves |
338 821 |
800 640 |
– |
1 139 461 |
| Nógrád |
148 794 |
– |
23 257 |
172 051 |
| Northern Great Plain |
2 944 322 |
109 731 |
48 197 |
3 102 250 |
| Hajdú-Bihar |
1 403 285 |
– |
26 730 |
1 430 015 |
| Jász-Nagykun-Szolnok |
655 475 |
52 926 |
– |
708 401 |
| Szabolcs-Szatmár-Bereg |
885 562 |
56 805 |
21 467 |
963 834 |
| Southern Great Plain |
1 480 445 |
194 623 |
106 281 |
1 781 349 |
| Bács-Kiskun |
386 134 |
8 543 |
94 581 |
489 258 |
| Békés |
871 455 |
152 088 |
11 700 |
1 035 243 |
| Csongrád-Csanád |
222 856 |
33 992 |
– |
256 848 |