Total |
120 904 808 |
102 687 628 |
69 232 004 |
40 582 801 |
333 407 241 |
Sex |
|
|
|
|
|
Male |
50 473 205 |
38 344 216 |
23 695 293 |
15 367 792 |
127 880 506 |
Female |
70 431 603 |
64 343 411 |
45 536 711 |
25 215 009 |
205 526 734 |
Age groups |
|
|
|
|
|
15–19 |
1 804 725 |
1 362 686 |
916 772 |
1 191 380 |
5 275 563 |
20–24 |
3 677 083 |
3 660 091 |
1 909 877 |
691 461 |
9 938 512 |
25–29 |
4 737 294 |
4 505 823 |
1 673 764 |
2 603 168 |
13 520 049 |
30–34 |
6 397 447 |
3 907 458 |
3 662 912 |
2 453 523 |
16 421 340 |
35–39 |
6 970 423 |
7 254 005 |
4 287 376 |
3 703 994 |
22 215 798 |
40–44 |
9 637 361 |
8 766 346 |
5 958 855 |
5 089 140 |
29 451 702 |
45–49 |
9 922 486 |
9 739 320 |
6 281 507 |
3 209 790 |
29 153 103 |
50–54 |
10 306 131 |
10 330 147 |
7 495 328 |
4 211 548 |
32 343 154 |
55–59 |
13 055 300 |
9 811 430 |
9 868 962 |
4 965 941 |
37 701 633 |
60–64 |
22 131 468 |
14 949 525 |
12 809 978 |
5 459 660 |
55 350 631 |
65–69 |
19 513 293 |
16 664 821 |
9 355 406 |
4 105 779 |
49 639 299 |
70–74 |
12 751 797 |
11 735 976 |
5 011 264 |
2 897 419 |
32 396 456 |
Highest level of education |
|
|
|
|
|
Less than 8 grades of primary school |
1 272 608 |
1 212 512 |
1 978 992 |
243 414 |
4 707 526 |
Primary school |
23 261 553 |
17 734 938 |
9 377 237 |
4 584 761 |
54 958 489 |
Vocational and apprentice school |
31 684 582 |
27 034 642 |
17 409 077 |
8 031 699 |
84 160 000 |
Secondary general school |
11 242 860 |
8 820 171 |
9 551 037 |
3 752 297 |
33 366 365 |
Secondary vocational school |
26 738 892 |
21 168 116 |
18 407 763 |
5 951 493 |
72 266 264 |
Tertiary education |
26 704 313 |
26 717 248 |
12 507 899 |
18 019 137 |
83 948 597 |
Type of settlement |
|
|
|
|
|
Village |
40 168 001 |
38 904 395 |
24 884 334 |
13 603 899 |
117 560 629 |
Town |
54 880 630 |
42 427 169 |
37 576 082 |
19 845 613 |
154 729 494 |
Budapest |
25 856 177 |
21 356 064 |
6 771 588 |
7 133 289 |
61 117 118 |
Economic activity |
|
|
|
|
|
Employed |
55 676 824 |
49 111 952 |
33 466 173 |
25 097 912 |
163 352 861 |
Unemployed |
3 643 422 |
2 796 467 |
2 520 108 |
779 043 |
9 739 040 |
Economically inactive |
61 584 562 |
50 779 208 |
33 245 724 |
14 705 846 |
160 315 340 |
Marital status |
|
|
|
|
|
Single |
21 331 017 |
16 137 623 |
9 654 009 |
7 558 372 |
54 681 021 |
Married |
70 114 493 |
59 870 121 |
43 226 501 |
27 830 711 |
201 041 826 |
Widowed, divorced or legally separated |
29 459 298 |
26 679 884 |
16 351 493 |
5 193 718 |
77 684 393 |
Status in the family |
|
|
|
|
|
Single |
23 128 640 |
15 783 352 |
13 517 751 |
4 772 952 |
57 202 695 |
Not single |
97 776 168 |
86 904 276 |
55 714 251 |
35 809 850 |
276 204 545 |
Of which: |
|
|
|
|
|
husband |
29 767 144 |
25 538 504 |
16 263 869 |
10 414 951 |
81 984 468 |
wife |
39 443 604 |
33 225 454 |
26 009 533 |
16 266 081 |
114 944 672 |
cohabitant |
10 756 425 |
9 330 125 |
6 388 488 |
4 066 398 |
30 541 436 |
single parent |
6 292 500 |
4 247 653 |
2 883 608 |
439 871 |
13 863 632 |
child |
8 750 353 |
5 970 703 |
2 987 158 |
3 418 571 |
21 126 785 |
other |
2 766 142 |
8 591 837 |
1 181 596 |
1 203 978 |
13 743 553 |
Type of household – by activity |
|
|
|
|
|
There is at least one employed person in the household |
74 782 776 |
67 212 400 |
44 943 612 |
32 369 268 |
219 308 056 |
All members of the household aged 15–74 are unemployed |
1 019 027 |
437 012 |
1 171 593 |
144 385 |
2 772 017 |
All are economically inactive |
2 488 910 |
807 451 |
472 197 |
263 255 |
4 031 813 |
All are unemployed or economically inactive |
42 614 095 |
34 230 766 |
22 644 602 |
7 805 893 |
107 295 356 |
Number of children under age 19 in the household |
|
|
|
|
|
no children under age 19 |
98 520 676 |
76 066 820 |
50 919 252 |
28 575 279 |
254 082 027 |
1 child under age 19 |
12 128 313 |
15 002 165 |
10 333 910 |
5 786 820 |
43 251 208 |
2 children under age 19 |
7 241 345 |
6 944 361 |
4 960 712 |
5 256 342 |
24 402 760 |
3 or more children under age 19 |
3 014 474 |
4 674 282 |
3 018 130 |
964 360 |
11 671 246 |
Area of education |
|
|
|
|
|
General programmes |
35 134 106 |
27 540 921 |
20 845 051 |
8 529 892 |
92 049 970 |
Education |
4 808 058 |
6 314 119 |
3 867 774 |
7 575 373 |
22 565 324 |
Humanities and arts |
3 963 875 |
1 741 615 |
1 390 989 |
1 738 591 |
8 835 070 |
Social sciences, business and law |
21 464 998 |
17 487 557 |
11 580 680 |
7 729 637 |
58 262 872 |
Mathematics, computing and other sciences |
4 211 152 |
2 539 671 |
1 419 095 |
794 251 |
8 964 169 |
Engineering, manufacturing and construction |
34 323 091 |
28 840 761 |
17 675 852 |
7 232 391 |
88 072 095 |
Agriculture and veterinary |
3 989 543 |
2 226 885 |
2 113 289 |
1 800 406 |
10 130 123 |
Health and welfare |
5 710 187 |
10 634 057 |
4 760 495 |
1 878 068 |
22 982 807 |
Services |
7 299 799 |
5 362 042 |
5 578 776 |
3 304 193 |
21 544 810 |
Participation in formal education |
|
|
|
|
|
Primary |
33 534 |
42 852 |
18 921 |
185 500 |
280 807 |
Vocational and apprentice school |
756 546 |
380 194 |
505 070 |
145 158 |
1 786 968 |
Secondary school |
902 184 |
683 060 |
457 515 |
377 953 |
2 420 712 |
Higher vocational programme in formal education |
19 353 |
41 334 |
17 124 |
21 600 |
99 411 |
Tertiary education |
1 177 238 |
723 638 |
387 288 |
681 791 |
2 969 955 |
PhD, DLA training |
133 272 |
|
145 792 |
1 189 020 |
1 468 084 |
Didn't attend formal education |
117 882 680 |
100 816 551 |
67 700 292 |
37 981 780 |
324 381 303 |
County/region of residence |
|
|
|
|
|
Central Hungary |
36 169 540 |
28 863 989 |
14 007 740 |
10 761 595 |
89 802 864 |
Budapest |
25 856 177 |
21 356 064 |
6 771 588 |
7 133 289 |
61 117 118 |
Pest |
10 313 363 |
7 507 924 |
7 236 153 |
3 628 306 |
28 685 746 |
Central Transdanubia |
14 107 116 |
7 948 328 |
4 126 282 |
4 417 812 |
30 599 538 |
Fejér |
3 617 945 |
1 840 771 |
828 117 |
884 642 |
7 171 475 |
Komárom-Esztergom |
3 798 345 |
2 033 733 |
751 025 |
581 134 |
7 164 237 |
Veszprém |
6 690 825 |
4 073 823 |
2 547 142 |
2 952 036 |
16 263 826 |
Western Transdanubia |
11 768 757 |
9 095 756 |
6 721 034 |
5 418 953 |
33 004 500 |
Győr-Moson-Sopron |
2 642 569 |
3 528 588 |
3 916 996 |
3 290 441 |
13 378 594 |
Vas |
5 429 628 |
3 433 402 |
1 314 845 |
951 061 |
11 128 936 |
Zala |
3 696 560 |
2 133 766 |
1 489 193 |
1 177 451 |
8 496 970 |
Southern Transdanubia |
10 232 926 |
8 490 603 |
9 371 152 |
5 495 035 |
33 589 716 |
Baranya |
5 102 016 |
3 043 702 |
2 449 382 |
2 578 325 |
13 173 425 |
Somogy |
3 059 646 |
2 526 551 |
4 819 418 |
2 112 218 |
12 517 833 |
Tolna |
2 071 264 |
2 920 350 |
2 102 352 |
804 492 |
7 898 458 |
Northern Hungary |
14 896 877 |
21 518 741 |
18 377 450 |
6 754 330 |
61 547 398 |
Borsod-Abaúj-Zemplén |
9 727 226 |
16 759 607 |
13 439 019 |
4 180 999 |
44 106 851 |
Heves |
3 140 353 |
2 041 985 |
1 498 272 |
1 462 172 |
8 142 782 |
Nógrád |
2 029 297 |
2 717 149 |
3 440 160 |
1 111 159 |
9 297 765 |
Northern Great Plain |
17 293 645 |
13 214 873 |
8 114 815 |
5 951 271 |
44 574 604 |
Hajdú-Bihar |
4 311 448 |
3 821 663 |
2 052 675 |
1 599 835 |
11 785 621 |
Jász-Nagykun-Szolnok |
6 405 073 |
3 197 733 |
3 109 081 |
694 646 |
13 406 533 |
Szabolcs-Szatmár-Bereg |
6 577 124 |
6 195 477 |
2 953 059 |
3 656 790 |
19 382 450 |
Southern Great Plain |
16 435 947 |
13 555 340 |
8 513 529 |
1 783 805 |
40 288 621 |
Bács-Kiskun |
5 034 651 |
5 753 766 |
2 816 993 |
676 855 |
14 282 265 |
Békés |
5 508 573 |
4 780 700 |
4 401 479 |
295 160 |
14 985 912 |
Csongrád-Csanád |
5 892 723 |
3 020 873 |
1 295 059 |
811 789 |
11 020 444 |