Age group |
Total |
|
|
|
|
|
15–19 |
20 136 |
– |
142 |
1 812 |
22 090 |
20–24 |
173 464 |
1 078 |
3 319 |
11 980 |
189 841 |
25–29 |
290 446 |
3 094 |
4 879 |
22 816 |
321 234 |
Total |
484 046 |
4 172 |
8 340 |
36 607 |
533 165 |
Male |
|
|
|
|
|
15–19 |
13 063 |
– |
54 |
387 |
13 504 |
20–24 |
95 822 |
344 |
1 240 |
6 165 |
103 571 |
25–29 |
158 067 |
1 272 |
3 178 |
11 699 |
174 215 |
Total |
266 952 |
1 616 |
4 472 |
18 251 |
291 290 |
Female |
|
|
|
|
|
15–19 |
7 073 |
– |
88 |
1 425 |
8 586 |
20–24 |
77 642 |
734 |
2 079 |
5 815 |
86 270 |
25–29 |
132 379 |
1 822 |
1 701 |
11 117 |
147 019 |
Total |
217 094 |
2 556 |
3 869 |
18 356 |
241 875 |
Educational attainment |
Total |
|
|
|
|
|
At most 8 grades of primary school |
100 896 |
618 |
1 060 |
11 323 |
113 896 |
Vocational school, apprentice school |
113 032 |
592 |
1 176 |
7 549 |
122 348 |
Secondary general school |
73 054 |
84 |
2 020 |
4 101 |
79 259 |
Secondary vocational school |
112 398 |
1 479 |
2 624 |
7 851 |
124 351 |
College, university, PhD, DLA |
84 667 |
1 400 |
1 461 |
5 783 |
93 311 |
Total |
484 046 |
4 172 |
8 340 |
36 607 |
533 165 |
Male |
|
|
|
|
|
At most 8 grades of primary school |
64 600 |
65 |
708 |
4 237 |
69 610 |
Vocational school, apprentice school |
77 407 |
327 |
520 |
4 492 |
82 746 |
Secondary general school |
32 609 |
84 |
767 |
1 191 |
34 650 |
Secondary vocational school |
60 689 |
644 |
1 661 |
5 865 |
68 860 |
College, university, PhD, DLA |
31 647 |
496 |
815 |
2 466 |
35 424 |
Total |
266 952 |
1 616 |
4 472 |
18 251 |
291 290 |
Female |
|
|
|
|
|
At most 8 grades of primary school |
36 296 |
553 |
352 |
7 086 |
44 286 |
Vocational school, apprentice school |
35 625 |
265 |
656 |
3 057 |
39 603 |
Secondary general school |
40 445 |
– |
1 253 |
2 910 |
44 608 |
Secondary vocational school |
51 709 |
835 |
962 |
1 986 |
55 491 |
College, university, PhD, DLA |
53 020 |
904 |
646 |
3 318 |
57 887 |
Total |
217 094 |
2 556 |
3 869 |
18 356 |
241 875 |
Economic activity |
Total |
|
|
|
|
|
employed |
389 646 |
3 945 |
7 383 |
31 293 |
432 268 |
unemployed |
38 638 |
226 |
185 |
1 971 |
41 020 |
inactive |
55 762 |
– |
773 |
3 343 |
59 878 |
Total |
484 046 |
4 172 |
8 340 |
36 607 |
533 165 |
Male |
|
|
|
|
|
employed |
229 870 |
1 616 |
3 944 |
16 364 |
251 793 |
unemployed |
24 373 |
– |
185 |
1 206 |
25 764 |
inactive |
12 709 |
– |
343 |
681 |
13 733 |
Total |
266 952 |
1 616 |
4 472 |
18 251 |
291 290 |
Female |
|
|
|
|
|
employed |
159 776 |
2 330 |
3 439 |
14 930 |
180 475 |
unemployed |
14 265 |
226 |
– |
765 |
15 256 |
inactive |
43 053 |
– |
429 |
2 662 |
46 145 |
Total |
217 094 |
2 556 |
3 869 |
18 356 |
241 875 |
County and region of residence |
Total |
|
|
|
|
|
Central Hungary |
106 053 |
1 236 |
851 |
9 758 |
117 898 |
Budapest |
62 668 |
749 |
– |
5 431 |
68 848 |
Pest |
43 385 |
487 |
851 |
4 327 |
49 050 |
Central Transdanubia |
56 099 |
517 |
737 |
4 844 |
62 197 |
Fejér |
21 548 |
140 |
643 |
816 |
23 148 |
Komárom-Esztergom |
18 362 |
377 |
– |
2 701 |
21 439 |
Veszprém |
16 189 |
– |
94 |
1 327 |
17 610 |
Western Transdanubia |
42 249 |
– |
1 321 |
5 006 |
48 576 |
Győr-Moson-Sopron |
19 931 |
– |
183 |
2 703 |
22 818 |
Vas |
10 198 |
– |
255 |
1 641 |
12 094 |
Zala |
12 120 |
– |
882 |
662 |
13 664 |
Southern Transdanubia |
48 027 |
520 |
1 117 |
3 795 |
53 460 |
Baranya |
16 642 |
– |
50 |
1 862 |
18 553 |
Somogy |
18 212 |
315 |
253 |
1 628 |
20 407 |
Tolna |
13 173 |
205 |
815 |
306 |
14 499 |
Northern Hungary |
70 590 |
120 |
930 |
4 101 |
75 741 |
Borsod-Abaúj-Zemplén |
41 830 |
120 |
334 |
1 552 |
43 836 |
Heves |
17 669 |
– |
344 |
1 965 |
19 977 |
Nógrád |
11 092 |
– |
253 |
583 |
11 928 |
Northern Great Plain |
92 455 |
832 |
1 465 |
4 671 |
99 422 |
Hajdú-Bihar |
28 081 |
– |
169 |
573 |
28 823 |
Jász-Nagykun-Szolnok |
22 910 |
– |
244 |
1 571 |
24 724 |
Szabolcs-Szatmár-Bereg |
41 465 |
832 |
1 053 |
2 527 |
45 876 |
Southern Great Plain |
68 573 |
947 |
1 919 |
4 432 |
75 871 |
Bács-Kiskun |
27 558 |
641 |
575 |
1 781 |
30 555 |
Békés |
19 454 |
252 |
825 |
2 013 |
22 546 |
Csongrád-Csanád |
21 560 |
54 |
519 |
638 |
22 770 |
Total |
484 046 |
4 172 |
8 340 |
36 607 |
533 165 |
Male |
|
|
|
|
|
Central Hungary |
59 215 |
650 |
712 |
4 010 |
64 586 |
Budapest |
35 423 |
407 |
– |
1 702 |
37 531 |
Pest |
23 792 |
243 |
712 |
2 308 |
27 055 |
Central Transdanubia |
28 090 |
140 |
386 |
2 651 |
31 268 |
Fejér |
11 280 |
140 |
292 |
366 |
12 077 |
Komárom-Esztergom |
8 996 |
– |
– |
1 557 |
10 553 |
Veszprém |
7 814 |
– |
94 |
729 |
8 638 |
Western Transdanubia |
22 577 |
– |
894 |
2 810 |
26 281 |
Győr-Moson-Sopron |
11 375 |
– |
183 |
1 137 |
12 696 |
Vas |
5 462 |
– |
39 |
1 010 |
6 512 |
Zala |
5 740 |
– |
671 |
662 |
7 073 |
Southern Transdanubia |
26 814 |
41 |
234 |
1 817 |
28 906 |
Baranya |
9 123 |
– |
50 |
1 195 |
10 368 |
Somogy |
10 163 |
– |
– |
403 |
10 566 |
Tolna |
7 529 |
41 |
185 |
218 |
7 972 |
Northern Hungary |
42 391 |
120 |
212 |
2 015 |
44 738 |
Borsod-Abaúj-Zemplén |
26 001 |
120 |
138 |
596 |
26 855 |
Heves |
9 811 |
– |
74 |
837 |
10 722 |
Nógrád |
6 579 |
– |
– |
583 |
7 162 |
Northern Great Plain |
52 923 |
262 |
602 |
2 136 |
55 923 |
Hajdú-Bihar |
15 629 |
– |
– |
453 |
16 081 |
Jász-Nagykun-Szolnok |
14 883 |
– |
244 |
252 |
15 378 |
Szabolcs-Szatmár-Bereg |
22 411 |
262 |
358 |
1 432 |
24 463 |
Southern Great Plain |
34 942 |
402 |
1 432 |
2 812 |
39 588 |
Bács-Kiskun |
14 324 |
96 |
575 |
856 |
15 852 |
Békés |
10 048 |
252 |
426 |
1 631 |
12 357 |
Csongrád-Csanád |
10 570 |
54 |
431 |
324 |
11 379 |
Total |
266 952 |
1 616 |
4 472 |
18 251 |
291 290 |
Female |
|
|
|
|
|
Central Hungary |
46 838 |
585 |
139 |
5 749 |
53 312 |
Budapest |
27 245 |
342 |
– |
3 729 |
31 317 |
Pest |
19 593 |
243 |
139 |
2 019 |
21 995 |
Central Transdanubia |
28 009 |
377 |
351 |
2 193 |
30 929 |
Fejér |
10 269 |
– |
351 |
451 |
11 071 |
Komárom-Esztergom |
9 365 |
377 |
– |
1 144 |
10 886 |
Veszprém |
8 375 |
– |
– |
598 |
8 972 |
Western Transdanubia |
19 672 |
– |
427 |
2 197 |
22 296 |
Győr-Moson-Sopron |
8 556 |
– |
– |
1 566 |
10 122 |
Vas |
4 735 |
– |
216 |
631 |
5 582 |
Zala |
6 380 |
– |
211 |
– |
6 591 |
Southern Transdanubia |
21 212 |
480 |
883 |
1 979 |
24 553 |
Baranya |
7 519 |
– |
– |
666 |
8 186 |
Somogy |
8 049 |
315 |
253 |
1 224 |
9 841 |
Tolna |
5 644 |
164 |
630 |
88 |
6 526 |
Northern Hungary |
28 200 |
– |
718 |
2 085 |
31 003 |
Borsod-Abaúj-Zemplén |
15 828 |
– |
196 |
957 |
16 982 |
Heves |
7 858 |
– |
269 |
1 128 |
9 256 |
Nógrád |
4 513 |
– |
253 |
– |
4 766 |
Northern Great Plain |
39 532 |
570 |
863 |
2 534 |
43 499 |
Hajdú-Bihar |
12 452 |
– |
169 |
120 |
12 741 |
Jász-Nagykun-Szolnok |
8 027 |
– |
– |
1 319 |
9 345 |
Szabolcs-Szatmár-Bereg |
19 054 |
570 |
694 |
1 095 |
21 412 |
Southern Great Plain |
33 631 |
544 |
487 |
1 620 |
36 283 |
Bács-Kiskun |
13 234 |
544 |
– |
925 |
14 703 |
Békés |
9 407 |
– |
399 |
382 |
10 188 |
Csongrád-Csanád |
10 990 |
– |
88 |
313 |
11 391 |
Total |
217 094 |
2 556 |
3 869 |
18 356 |
241 875 |
The administrative classification of residence |
Total |
|
|
|
|
|
town |
62 668 |
749 |
– |
5 431 |
68 848 |
village |
198 387 |
2 123 |
2 712 |
16 876 |
220 098 |
Budapest |
222 990 |
1 299 |
5 629 |
14 301 |
244 219 |
Total |
484 046 |
4 172 |
8 340 |
36 607 |
533 165 |
Male |
|
|
|
|
|
town |
35 423 |
407 |
– |
1 702 |
37 531 |
village |
114 258 |
697 |
1 491 |
8 851 |
125 296 |
Budapest |
117 271 |
512 |
2 981 |
7 698 |
128 462 |
Total |
266 952 |
1 616 |
4 472 |
18 251 |
291 290 |
Female |
|
|
|
|
|
town |
27 245 |
342 |
– |
3 729 |
31 317 |
village |
84 130 |
1 426 |
1 221 |
8 025 |
94 801 |
Budapest |
105 719 |
788 |
2 648 |
6 602 |
115 757 |
Total |
217 094 |
2 556 |
3 869 |
18 356 |
241 875 |