Total |
18 281 299 |
3 622 080 |
6 530 527 |
28 433 907 |
Sex |
|
|
|
|
Male |
9 922 143 |
1 783 499 |
2 148 270 |
13 853 913 |
Female |
8 359 156 |
1 838 581 |
4 382 258 |
14 579 994 |
Age groups |
|
|
|
|
15–19 |
3 139 265 |
936 858 |
708 459 |
4 784 582 |
20–24 |
1 649 495 |
404 313 |
5 634 |
2 059 442 |
25–29 |
1 040 728 |
22 332 |
175 060 |
1 238 121 |
30–34 |
993 040 |
30 899 |
204 157 |
1 228 095 |
35–39 |
1 563 626 |
258 384 |
630 799 |
2 452 809 |
40–44 |
1 299 118 |
102 977 |
669 882 |
2 071 977 |
45–49 |
1 567 188 |
166 594 |
229 043 |
1 962 825 |
50–54 |
1 227 733 |
295 579 |
264 751 |
1 788 064 |
55–59 |
1 469 726 |
206 705 |
362 403 |
2 038 834 |
60–64 |
1 099 941 |
169 442 |
802 010 |
2 071 393 |
65–69 |
1 532 223 |
703 740 |
581 743 |
2 817 705 |
70–74 |
1 699 216 |
324 258 |
1 896 586 |
3 920 060 |
Highest level of education |
|
|
|
|
Less than 8 grades of primary school |
4 300 |
11 854 |
25 000 |
41 154 |
Primary school |
3 838 854 |
1 143 816 |
856 925 |
5 839 595 |
Vocational and apprentice school |
3 386 897 |
192 990 |
357 499 |
3 937 385 |
Secondary general school |
2 995 460 |
651 571 |
395 164 |
4 042 194 |
Secondary vocational school |
2 584 669 |
706 846 |
793 444 |
4 084 959 |
Tertiary education |
5 471 120 |
915 004 |
4 102 496 |
10 488 619 |
Type of settlement |
|
|
|
|
Village |
5 682 035 |
1 393 217 |
1 883 185 |
8 958 436 |
Town |
9 101 692 |
1 507 296 |
2 560 328 |
13 169 317 |
Budapest |
3 497 573 |
721 567 |
2 087 014 |
6 306 154 |
Economic activity |
|
|
|
|
Employed |
10 863 709 |
1 563 275 |
2 810 638 |
15 237 623 |
Unemployed |
157 650 |
2 160 |
107 832 |
267 642 |
Economically inactive |
7 259 940 |
2 056 645 |
3 612 058 |
12 928 642 |
Marital status |
|
|
|
|
Single |
7 718 951 |
1 669 258 |
1 424 884 |
10 813 093 |
Married |
7 891 576 |
1 390 415 |
4 352 385 |
13 634 376 |
Widowed, divorced or legally separated |
2 670 772 |
562 407 |
753 258 |
3 986 438 |
Status in the family |
|
|
|
|
Single |
2 060 133 |
679 476 |
811 340 |
3 550 949 |
Not single |
16 221 166 |
2 942 604 |
5 719 187 |
24 882 957 |
Of which: |
|
|
|
|
husband |
5 033 266 |
623 396 |
1 460 380 |
7 117 043 |
wife |
2 689 310 |
553 637 |
2 846 921 |
6 089 868 |
cohabitant |
1 890 639 |
251 810 |
562 307 |
2 704 756 |
single parent |
747 402 |
119 900 |
77 155 |
944 457 |
child |
5 101 344 |
1 343 257 |
752 776 |
7 197 377 |
other |
759 205 |
50 605 |
19 647 |
829 456 |
Type of household – by activity |
|
|
|
|
There is at least one employed person in the household |
16 318 532 |
2 757 127 |
5 748 757 |
24 824 416 |
All members of the household aged 15–74 are unemployed |
9 071 |
2 160 |
– |
11 231 |
All are economically inactive |
69 566 |
2 604 |
100 512 |
172 682 |
All are unemployed or economically inactive |
1 884 130 |
860 190 |
681 258 |
3 425 578 |
Number of children under age 19 in the household |
|
|
|
|
no children under age 19 |
10 742 006 |
2 190 830 |
5 383 802 |
18 316 638 |
1 child under age 19 |
4 331 867 |
902 416 |
521 483 |
5 755 766 |
2 children under age 19 |
2 128 432 |
449 628 |
469 370 |
3 047 429 |
3 or more children under age 19 |
1 078 994 |
79 206 |
155 873 |
1 314 074 |
Area of education |
|
|
|
|
General programmes |
6 838 614 |
1 807 240 |
1 277 089 |
9 922 944 |
Education |
2 271 433 |
284 611 |
2 512 863 |
5 068 907 |
Humanities and arts |
188 509 |
137 147 |
961 344 |
1 287 000 |
Social sciences, journalism and other information services |
599 352 |
341 799 |
254 716 |
1 195 867 |
Business, administration and law |
1 606 064 |
166 529 |
296 532 |
2 069 125 |
Natural sciences, mathematics and statistics |
217 884 |
– |
– |
217 884 |
Information and communication technologies |
236 601 |
5 824 |
– |
242 425 |
Engineering, manufacturing and construction |
4 006 028 |
611 017 |
579 503 |
5 196 549 |
Agriculture and veterinary |
489 102 |
70 320 |
76 440 |
635 862 |
Health and welfare |
787 913 |
121 301 |
446 223 |
1 355 436 |
Services |
1 039 800 |
76 292 |
125 817 |
1 241 909 |
Participation in formal education |
|
|
|
|
Primary |
3 004 |
3 056 |
25 000 |
31 060 |
Vocational and apprentice school |
1 072 424 |
358 583 |
166 964 |
1 597 970 |
Secondary school |
2 027 637 |
616 383 |
511 517 |
3 155 537 |
Higher vocational programme in formal education |
88 187 |
5 340 |
– |
93 527 |
Tertiary education |
857 941 |
310 154 |
10 612 |
1 178 707 |
PhD, DLA training |
7 600 |
– |
– |
7 600 |
Didn't attend formal education |
14 224 507 |
2 328 564 |
5 816 434 |
22 369 505 |
County/region of residence |
|
|
|
|
Central Hungary |
6 563 569 |
1 263 056 |
2 465 062 |
10 291 686 |
Budapest |
3 497 573 |
721 567 |
2 087 014 |
6 306 154 |
Pest |
3 065 996 |
541 489 |
378 047 |
3 985 532 |
Central Transdanubia |
2 174 620 |
187 961 |
1 623 084 |
3 985 665 |
Fejér |
473 942 |
96 129 |
25 560 |
595 630 |
Komárom-Esztergom |
1 284 341 |
24 158 |
148 925 |
1 457 425 |
Veszprém |
416 337 |
67 674 |
1 448 599 |
1 932 610 |
Western Transdanubia |
1 158 863 |
273 778 |
871 622 |
2 304 262 |
Győr-Moson-Sopron |
514 079 |
13 266 |
477 596 |
1 004 941 |
Vas |
403 481 |
137 231 |
241 434 |
782 146 |
Zala |
241 303 |
123 281 |
152 592 |
517 176 |
Southern Transdanubia |
2 542 903 |
1 050 218 |
597 728 |
4 190 848 |
Baranya |
1 558 321 |
645 633 |
356 778 |
2 560 733 |
Somogy |
691 297 |
323 643 |
240 950 |
1 255 889 |
Tolna |
293 285 |
80 942 |
– |
374 227 |
Northern Hungary |
1 927 284 |
350 740 |
393 943 |
2 671 967 |
Borsod-Abaúj-Zemplén |
1 093 431 |
258 563 |
376 646 |
1 728 639 |
Heves |
556 036 |
40 434 |
6 953 |
603 424 |
Nógrád |
277 817 |
51 744 |
10 344 |
339 904 |
Northern Great Plain |
1 916 801 |
271 603 |
495 619 |
2 684 022 |
Hajdú-Bihar |
875 385 |
181 031 |
233 973 |
1 290 390 |
Jász-Nagykun-Szolnok |
166 673 |
79 099 |
191 981 |
437 754 |
Szabolcs-Szatmár-Bereg |
874 742 |
11 473 |
69 664 |
955 879 |
Southern Great Plain |
1 997 261 |
224 725 |
83 470 |
2 305 456 |
Bács-Kiskun |
587 667 |
115 832 |
14 700 |
718 199 |
Békés |
1 221 333 |
69 744 |
59 650 |
1 350 727 |
Csongrád-Csanád |
188 261 |
39 150 |
9 120 |
236 531 |