Age group |
Total |
|
|
|
|
|
|
15–19 |
9 403 |
2 325 |
1 479 |
196 |
1 241 |
14 643 |
20–24 |
16 346 |
10 087 |
2 323 |
684 |
2 246 |
31 687 |
25–29 |
19 217 |
12 568 |
3 498 |
492 |
2 526 |
38 301 |
Total |
44 966 |
24 980 |
7 300 |
1 372 |
6 013 |
84 631 |
Male |
|
|
|
|
|
|
15–19 |
4 134 |
1 314 |
851 |
– |
1 241 |
7 540 |
20–24 |
7 160 |
3 303 |
1 585 |
684 |
1 223 |
13 955 |
25–29 |
7 224 |
6 873 |
2 491 |
– |
680 |
17 268 |
Total |
18 518 |
11 490 |
4 927 |
684 |
3 144 |
38 763 |
Female |
|
|
|
|
|
|
15–19 |
5 269 |
1 011 |
628 |
196 |
– |
7 104 |
20–24 |
9 186 |
6 784 |
739 |
– |
1 023 |
17 732 |
25–29 |
11 993 |
5 695 |
1 006 |
492 |
1 846 |
21 032 |
Total |
26 448 |
13 490 |
2 373 |
688 |
2 869 |
45 868 |
Educational attainment |
Total |
|
|
|
|
|
|
At most 8 grades of primary school |
8 156 |
1 849 |
1 128 |
196 |
1 838 |
13 167 |
Vocational school, apprentice school |
364 |
1 263 |
– |
275 |
842 |
2 744 |
Secondary general school |
15 702 |
9 283 |
2 231 |
382 |
1 250 |
28 848 |
Secondary vocational school |
3 156 |
2 737 |
1 718 |
302 |
987 |
8 900 |
College, university, PhD, DLA |
17 588 |
9 848 |
2 223 |
217 |
1 096 |
30 972 |
Total |
44 966 |
24 980 |
7 300 |
1 372 |
6 013 |
84 631 |
Male |
|
|
|
|
|
|
At most 8 grades of primary school |
2 906 |
802 |
981 |
– |
1 628 |
6 317 |
Vocational school, apprentice school |
177 |
767 |
– |
– |
450 |
1 393 |
Secondary general school |
6 255 |
4 136 |
1 381 |
382 |
482 |
12 637 |
Secondary vocational school |
1 743 |
1 665 |
961 |
302 |
468 |
5 139 |
College, university, PhD, DLA |
7 437 |
4 121 |
1 604 |
– |
115 |
13 277 |
Total |
18 518 |
11 490 |
4 927 |
684 |
3 144 |
38 763 |
Female |
|
|
|
|
|
|
At most 8 grades of primary school |
5 250 |
1 048 |
147 |
196 |
209 |
6 850 |
Vocational school, apprentice school |
187 |
496 |
– |
275 |
393 |
1 351 |
Secondary general school |
9 447 |
5 147 |
850 |
– |
767 |
16 211 |
Secondary vocational school |
1 414 |
1 072 |
757 |
– |
519 |
3 761 |
College, university, PhD, DLA |
10 151 |
5 727 |
619 |
217 |
981 |
17 695 |
Total |
26 448 |
13 490 |
2 373 |
688 |
2 869 |
45 868 |
Economic activity |
Total |
|
|
|
|
|
|
employed |
17 384 |
10 649 |
3 085 |
794 |
2 954 |
34 866 |
unemployed |
316 |
712 |
130 |
– |
97 |
1 255 |
inactive |
27 265 |
13 619 |
4 084 |
578 |
2 963 |
48 509 |
Total |
44 966 |
24 980 |
7 300 |
1 372 |
6 013 |
84 631 |
Male |
|
|
|
|
|
|
employed |
8 201 |
5 907 |
2 273 |
302 |
1 476 |
18 158 |
unemployed |
83 |
560 |
130 |
– |
– |
773 |
inactive |
10 234 |
5 023 |
2 524 |
382 |
1 668 |
19 831 |
Total |
18 518 |
11 490 |
4 927 |
684 |
3 144 |
38 763 |
Female |
|
|
|
|
|
|
employed |
9 184 |
4 742 |
812 |
492 |
1 477 |
16 708 |
unemployed |
233 |
152 |
– |
– |
97 |
482 |
inactive |
17 031 |
8 596 |
1 560 |
196 |
1 295 |
28 678 |
Total |
26 448 |
13 490 |
2 373 |
688 |
2 869 |
45 868 |
County and region of residence |
Total |
|
|
|
|
|
|
Central Hungary |
18 422 |
8 883 |
2 297 |
196 |
1 490 |
31 289 |
Budapest |
12 755 |
6 222 |
1 947 |
196 |
1 023 |
22 143 |
Pest |
5 667 |
2 661 |
350 |
– |
467 |
9 146 |
Central Transdanubia |
5 684 |
1 376 |
60 |
275 |
1 567 |
8 962 |
Fejér |
3 555 |
661 |
– |
– |
248 |
4 463 |
Komárom-Esztergom |
1 508 |
289 |
60 |
275 |
474 |
2 606 |
Veszprém |
621 |
427 |
– |
– |
845 |
1 893 |
Western Transdanubia |
5 538 |
2 416 |
532 |
217 |
115 |
8 818 |
Győr-Moson-Sopron |
3 049 |
1 217 |
205 |
217 |
– |
4 689 |
Vas |
975 |
697 |
– |
– |
– |
1 671 |
Zala |
1 514 |
502 |
327 |
– |
115 |
2 458 |
Southern Transdanubia |
4 455 |
3 049 |
167 |
– |
814 |
8 484 |
Baranya |
3 515 |
2 805 |
130 |
– |
439 |
6 889 |
Somogy |
598 |
243 |
37 |
– |
209 |
1 087 |
Tolna |
342 |
– |
– |
– |
166 |
508 |
Northern Hungary |
3 933 |
2 447 |
178 |
– |
497 |
7 055 |
Borsod-Abaúj-Zemplén |
2 160 |
1 579 |
178 |
– |
362 |
4 278 |
Heves |
346 |
531 |
– |
– |
– |
877 |
Nógrád |
1 427 |
338 |
– |
– |
135 |
1 900 |
Northern Great Plain |
1 748 |
3 247 |
1 146 |
– |
664 |
6 805 |
Hajdú-Bihar |
660 |
1 967 |
324 |
– |
102 |
3 054 |
Jász-Nagykun-Szolnok |
1 088 |
813 |
146 |
– |
119 |
2 166 |
Szabolcs-Szatmár-Bereg |
– |
467 |
676 |
– |
442 |
1 585 |
Southern Great Plain |
5 186 |
3 563 |
2 919 |
684 |
866 |
13 218 |
Bács-Kiskun |
2 450 |
638 |
1 584 |
302 |
421 |
5 395 |
Békés |
605 |
1 238 |
– |
104 |
445 |
2 392 |
Csongrád-Csanád |
2 131 |
1 686 |
1 335 |
279 |
– |
5 431 |
Total |
44 966 |
24 980 |
7 300 |
1 372 |
6 013 |
84 631 |
Male |
|
|
|
|
|
|
Central Hungary |
6 786 |
3 335 |
1 768 |
– |
– |
11 889 |
Budapest |
3 797 |
1 350 |
1 549 |
– |
– |
6 696 |
Pest |
2 990 |
1 985 |
219 |
– |
– |
5 193 |
Central Transdanubia |
2 418 |
742 |
– |
– |
971 |
4 132 |
Fejér |
1 289 |
443 |
– |
– |
248 |
1 980 |
Komárom-Esztergom |
1 057 |
232 |
– |
– |
474 |
1 763 |
Veszprém |
72 |
67 |
– |
– |
250 |
389 |
Western Transdanubia |
3 029 |
1 716 |
532 |
– |
115 |
5 393 |
Győr-Moson-Sopron |
1 524 |
1 090 |
205 |
– |
– |
2 820 |
Vas |
607 |
219 |
– |
– |
– |
826 |
Zala |
898 |
407 |
327 |
– |
115 |
1 747 |
Southern Transdanubia |
2 402 |
734 |
167 |
– |
522 |
3 824 |
Baranya |
1 663 |
734 |
130 |
– |
439 |
2 966 |
Somogy |
433 |
– |
37 |
– |
– |
470 |
Tolna |
305 |
– |
– |
– |
83 |
388 |
Northern Hungary |
1 525 |
1 533 |
178 |
– |
362 |
3 597 |
Borsod-Abaúj-Zemplén |
860 |
1 046 |
178 |
– |
362 |
2 445 |
Heves |
149 |
149 |
– |
– |
– |
299 |
Nógrád |
515 |
338 |
– |
– |
– |
853 |
Northern Great Plain |
529 |
1 181 |
522 |
– |
613 |
2 845 |
Hajdú-Bihar |
272 |
413 |
324 |
– |
51 |
1 061 |
Jász-Nagykun-Szolnok |
256 |
563 |
– |
– |
119 |
939 |
Szabolcs-Szatmár-Bereg |
– |
205 |
198 |
– |
442 |
845 |
Southern Great Plain |
1 829 |
2 248 |
1 760 |
684 |
562 |
7 082 |
Bács-Kiskun |
1 071 |
286 |
425 |
302 |
330 |
2 413 |
Békés |
116 |
811 |
– |
104 |
232 |
1 263 |
Csongrád-Csanád |
641 |
1 151 |
1 335 |
279 |
– |
3 406 |
Total |
18 518 |
11 490 |
4 927 |
684 |
3 144 |
38 763 |
Female |
|
|
|
|
|
|
Central Hungary |
11 636 |
5 548 |
529 |
196 |
1 490 |
19 399 |
Budapest |
8 958 |
4 872 |
398 |
153 |
1 023 |
15 447 |
Pest |
2 678 |
676 |
131 |
– |
467 |
3 953 |
Central Transdanubia |
3 266 |
634 |
60 |
275 |
596 |
4 830 |
Fejér |
2 266 |
218 |
– |
– |
– |
2 484 |
Komárom-Esztergom |
451 |
56 |
60 |
275 |
– |
843 |
Veszprém |
549 |
359 |
– |
– |
596 |
1 504 |
Western Transdanubia |
2 508 |
700 |
– |
217 |
– |
3 425 |
Győr-Moson-Sopron |
1 525 |
127 |
– |
217 |
– |
1 869 |
Vas |
368 |
478 |
– |
– |
– |
845 |
Zala |
616 |
95 |
– |
– |
– |
711 |
Southern Transdanubia |
2 053 |
2 315 |
– |
– |
292 |
4 660 |
Baranya |
1 852 |
2 071 |
– |
– |
– |
3 923 |
Somogy |
164 |
243 |
– |
– |
209 |
617 |
Tolna |
37 |
– |
– |
– |
83 |
120 |
Northern Hungary |
2 408 |
914 |
– |
– |
135 |
3 458 |
Borsod-Abaúj-Zemplén |
1 300 |
533 |
– |
– |
– |
1 833 |
Heves |
197 |
381 |
– |
– |
– |
578 |
Nógrád |
912 |
– |
– |
– |
135 |
1 047 |
Northern Great Plain |
1 219 |
2 065 |
624 |
– |
51 |
3 960 |
Hajdú-Bihar |
388 |
1 554 |
– |
– |
51 |
1 993 |
Jász-Nagykun-Szolnok |
831 |
250 |
146 |
– |
– |
1 227 |
Szabolcs-Szatmár-Bereg |
– |
262 |
478 |
– |
– |
740 |
Southern Great Plain |
3 358 |
1 314 |
1 159 |
– |
305 |
6 136 |
Bács-Kiskun |
1 379 |
351 |
1 159 |
– |
92 |
2 981 |
Békés |
489 |
428 |
– |
– |
213 |
1 129 |
Csongrád-Csanád |
1 490 |
535 |
– |
– |
– |
2 025 |
Total |
26 448 |
13 490 |
2 373 |
688 |
2 869 |
45 868 |
The administrative classification of residence |
Total |
|
|
|
|
|
|
town |
12 755 |
6 222 |
1 947 |
196 |
1 023 |
22 143 |
village |
12 631 |
4 320 |
1 042 |
– |
1 905 |
19 898 |
Budapest |
19 580 |
14 438 |
4 311 |
1 176 |
3 086 |
42 590 |
Total |
44 966 |
24 980 |
7 300 |
1 372 |
6 013 |
84 631 |
Male |
|
|
|
|
|
|
town |
3 797 |
1 350 |
1 549 |
– |
– |
6 696 |
village |
6 148 |
2 054 |
386 |
– |
1 634 |
10 222 |
Budapest |
8 573 |
8 086 |
2 992 |
684 |
1 510 |
21 845 |
Total |
18 518 |
11 490 |
4 927 |
684 |
3 144 |
38 763 |
Female |
|
|
|
|
|
|
town |
8 958 |
4 872 |
398 |
196 |
1 023 |
15 447 |
village |
6 483 |
2 266 |
656 |
– |
271 |
9 677 |
Budapest |
11 007 |
6 351 |
1 319 |
492 |
1 575 |
20 744 |
Total |
26 448 |
13 490 |
2 373 |
688 |
2 869 |
45 868 |