Total |
112 512 027 |
102 505 743 |
95 267 451 |
58 844 054 |
369 129 275 |
Sex |
|
|
|
|
|
Male |
49 317 554 |
38 076 350 |
31 072 468 |
21 525 759 |
139 992 131 |
Female |
63 194 473 |
64 429 393 |
64 194 983 |
37 318 295 |
229 137 144 |
Age groups |
|
|
|
|
|
15–19 |
2 406 390 |
2 166 921 |
1 981 578 |
836 191 |
7 391 080 |
20–24 |
3 990 475 |
4 592 967 |
1 976 636 |
806 585 |
11 366 663 |
25–29 |
5 399 464 |
4 807 205 |
3 222 009 |
4 913 506 |
18 342 184 |
30–34 |
6 477 160 |
6 097 626 |
4 236 968 |
3 530 671 |
20 342 425 |
35–39 |
7 615 500 |
8 954 706 |
5 802 044 |
7 405 292 |
29 777 542 |
40–44 |
8 249 457 |
11 299 710 |
7 550 698 |
6 472 926 |
33 572 791 |
45–49 |
8 247 211 |
8 025 007 |
12 902 079 |
5 599 609 |
34 773 906 |
50–54 |
9 825 084 |
8 930 425 |
12 942 411 |
4 756 353 |
36 454 273 |
55–59 |
15 022 049 |
14 050 369 |
19 566 983 |
8 407 150 |
57 046 551 |
60–64 |
19 896 496 |
18 010 151 |
14 050 373 |
6 564 493 |
58 521 513 |
65–69 |
16 642 250 |
10 771 083 |
8 684 703 |
7 587 061 |
43 685 097 |
70–74 |
8 740 490 |
4 799 573 |
2 350 969 |
1 964 217 |
17 855 249 |
Highest level of education |
|
|
|
|
|
Less than 8 grades of primary school |
1 238 776 |
1 862 754 |
1 937 331 |
113 450 |
5 152 311 |
Primary school |
25 240 086 |
20 461 007 |
16 623 417 |
6 557 066 |
68 881 576 |
Vocational and apprentice school |
30 446 974 |
25 403 409 |
21 329 012 |
10 338 621 |
87 518 016 |
Secondary general school |
11 968 731 |
9 477 310 |
9 499 979 |
4 639 958 |
35 585 978 |
Secondary vocational school |
24 756 373 |
23 518 474 |
26 659 675 |
13 424 152 |
88 358 674 |
Tertiary education |
18 861 088 |
21 782 788 |
19 218 037 |
23 770 808 |
83 632 721 |
Type of settlement |
|
|
|
|
|
Village |
41 809 611 |
35 389 728 |
32 207 921 |
23 157 487 |
132 564 747 |
Town |
53 650 493 |
53 025 802 |
53 066 320 |
27 167 662 |
186 910 277 |
Budapest |
17 051 923 |
14 090 212 |
9 993 209 |
8 518 905 |
49 654 249 |
Economic activity |
|
|
|
|
|
Employed |
46 510 910 |
47 032 211 |
47 675 459 |
34 145 057 |
175 363 637 |
Unemployed |
5 127 108 |
5 609 153 |
6 207 569 |
2 688 792 |
19 632 622 |
Economically inactive |
60 874 010 |
49 864 378 |
41 384 424 |
22 010 205 |
174 133 017 |
Marital status |
|
|
|
|
|
Single |
21 278 372 |
21 822 286 |
15 274 842 |
11 601 443 |
69 976 943 |
Married |
64 229 241 |
56 724 819 |
57 217 636 |
38 867 582 |
217 039 278 |
Widowed, divorced or legally separated |
27 004 414 |
23 958 637 |
22 774 973 |
8 375 029 |
82 113 053 |
Status in the family |
|
|
|
|
|
Single |
22 889 429 |
18 155 904 |
16 567 819 |
8 050 496 |
65 663 648 |
Not single |
89 622 598 |
84 349 838 |
78 699 632 |
50 793 558 |
303 465 626 |
Of which: |
|
|
|
|
|
husband |
28 583 391 |
21 595 279 |
20 080 827 |
12 919 259 |
83 178 756 |
wife |
34 219 837 |
34 338 054 |
36 150 365 |
24 568 018 |
129 276 274 |
cohabitant |
8 168 578 |
10 002 984 |
11 673 146 |
5 196 793 |
35 041 501 |
single parent |
6 657 476 |
6 910 230 |
4 208 176 |
3 128 408 |
20 904 290 |
child |
9 703 815 |
7 933 745 |
4 546 278 |
4 398 243 |
26 582 081 |
other |
2 289 500 |
3 569 547 |
2 040 839 |
582 837 |
8 482 723 |
Type of household – by activity |
|
|
|
|
|
There is at least one employed person in the household |
67 675 426 |
66 432 815 |
67 019 442 |
43 583 138 |
244 710 821 |
All members of the household aged 15–74 are unemployed |
1 030 440 |
1 279 084 |
678 216 |
571 000 |
3 558 740 |
All are economically inactive |
2 106 380 |
3 301 982 |
3 436 499 |
584 882 |
9 429 743 |
All are unemployed or economically inactive |
41 699 782 |
31 491 861 |
24 133 294 |
14 105 035 |
111 429 972 |
Number of children under age 19 in the household |
|
|
|
|
|
no children under age 19 |
86 256 118 |
72 859 271 |
69 896 226 |
40 081 438 |
269 093 053 |
1 child under age 19 |
12 962 365 |
13 357 092 |
11 299 511 |
8 459 162 |
46 078 130 |
2 children under age 19 |
9 250 605 |
11 801 071 |
9 333 739 |
7 995 278 |
38 380 693 |
3 or more children under age 19 |
4 042 938 |
4 488 308 |
4 737 976 |
2 308 175 |
15 577 397 |
Area of education |
|
|
|
|
|
General programmes |
37 165 768 |
31 295 387 |
26 438 395 |
11 017 957 |
105 917 507 |
Education |
4 636 093 |
6 869 692 |
7 520 652 |
9 141 554 |
28 167 991 |
Humanities and arts |
2 321 883 |
2 843 109 |
2 205 208 |
1 712 899 |
9 083 099 |
Social sciences, business and law |
17 651 381 |
17 045 290 |
21 461 918 |
10 114 944 |
66 273 533 |
Mathematics, computing and other sciences |
1 916 567 |
1 292 531 |
1 582 304 |
742 811 |
5 534 213 |
Engineering, manufacturing and construction |
33 084 771 |
28 787 066 |
24 315 213 |
16 238 111 |
102 425 161 |
Agriculture and veterinary |
3 596 955 |
3 961 386 |
2 490 967 |
2 631 313 |
12 680 621 |
Health and welfare |
5 431 337 |
4 872 384 |
5 716 155 |
3 954 188 |
19 974 064 |
Services |
6 707 272 |
5 538 896 |
3 536 639 |
3 290 276 |
19 073 083 |
Participation in formal education |
|
|
|
|
|
Primary |
34 801 |
120 806 |
7 910 |
1 758 |
165 275 |
Vocational and apprentice school |
596 379 |
316 105 |
297 461 |
98 588 |
1 308 533 |
Secondary school |
1 499 268 |
1 730 085 |
776 632 |
773 497 |
4 779 482 |
Higher vocational programme in formal education |
288 767 |
68 066 |
46 022 |
48 116 |
450 971 |
Tertiary education |
1 386 985 |
1 416 768 |
1 124 927 |
968 827 |
4 897 507 |
PhD, DLA training |
122 390 |
62 232 |
7 879 |
– |
192 501 |
Didn't attend formal education |
108 583 439 |
98 791 681 |
93 006 620 |
56 953 268 |
357 335 008 |
County/region of residence |
|
|
|
|
|
Central Hungary |
27 572 602 |
23 940 577 |
20 291 423 |
12 971 784 |
84 776 386 |
Budapest |
17 051 923 |
14 090 212 |
9 993 209 |
8 518 905 |
49 654 249 |
Pest |
10 520 679 |
9 850 365 |
10 298 213 |
4 452 879 |
35 122 136 |
Central Transdanubia |
12 218 671 |
7 374 821 |
8 281 838 |
3 002 387 |
30 877 717 |
Fejér |
3 642 102 |
1 939 132 |
882 442 |
589 272 |
7 052 948 |
Komárom-Esztergom |
4 079 602 |
1 454 307 |
4 849 868 |
1 899 555 |
12 283 332 |
Veszprém |
4 496 967 |
3 981 382 |
2 549 527 |
513 561 |
11 541 437 |
Western Transdanubia |
10 805 279 |
8 976 236 |
8 667 900 |
5 003 695 |
33 453 110 |
Győr-Moson-Sopron |
4 976 092 |
4 049 667 |
3 789 199 |
3 476 194 |
16 291 152 |
Vas |
2 687 371 |
2 167 562 |
2 532 875 |
1 081 739 |
8 469 547 |
Zala |
3 141 817 |
2 759 006 |
2 345 827 |
445 762 |
8 692 412 |
Southern Transdanubia |
14 749 180 |
16 462 400 |
16 221 749 |
11 133 904 |
58 567 233 |
Baranya |
5 930 737 |
6 992 347 |
4 739 573 |
3 215 506 |
20 878 163 |
Somogy |
3 664 040 |
4 726 608 |
7 043 561 |
6 551 358 |
21 985 567 |
Tolna |
5 154 402 |
4 743 446 |
4 438 614 |
1 367 040 |
15 703 502 |
Northern Hungary |
11 369 503 |
13 828 078 |
13 467 605 |
11 588 153 |
50 253 339 |
Borsod-Abaúj-Zemplén |
6 825 928 |
9 681 894 |
8 512 609 |
9 429 765 |
34 450 196 |
Heves |
3 014 640 |
2 324 775 |
3 162 250 |
785 734 |
9 287 399 |
Nógrád |
1 528 936 |
1 821 409 |
1 792 746 |
1 372 654 |
6 515 745 |
Northern Great Plain |
22 892 071 |
19 384 225 |
17 537 220 |
8 521 400 |
68 334 916 |
Hajdú-Bihar |
7 040 173 |
5 529 469 |
6 466 526 |
2 668 599 |
21 704 767 |
Jász-Nagykun-Szolnok |
4 975 299 |
6 450 986 |
3 779 055 |
2 878 229 |
18 083 569 |
Szabolcs-Szatmár-Bereg |
10 876 599 |
7 403 770 |
7 291 639 |
2 974 572 |
28 546 580 |
Southern Great Plain |
12 904 721 |
12 539 405 |
10 799 716 |
6 622 731 |
42 866 573 |
Bács-Kiskun |
6 533 668 |
6 154 376 |
3 911 335 |
2 124 196 |
18 723 575 |
Békés |
3 719 882 |
2 627 105 |
2 014 312 |
1 374 233 |
9 735 532 |
Csongrád-Csanád |
2 651 170 |
3 757 924 |
4 874 069 |
3 124 301 |
14 407 464 |