Age group |
Total |
|
|
|
|
|
15–19 |
11 578 |
14 831 |
1 021 |
1 482 |
28 912 |
20–24 |
166 127 |
100 514 |
15 793 |
5 221 |
287 655 |
25–29 |
345 051 |
138 923 |
23 583 |
6 529 |
514 086 |
Total |
522 756 |
254 268 |
40 398 |
13 232 |
830 653 |
Male |
|
|
|
|
|
15–19 |
8 367 |
9 564 |
331 |
1 054 |
19 316 |
20–24 |
91 116 |
54 766 |
6 580 |
2 450 |
154 913 |
25–29 |
183 740 |
71 187 |
12 423 |
4 701 |
272 051 |
Total |
283 224 |
135 516 |
19 334 |
8 205 |
446 280 |
Female |
|
|
|
|
|
15–19 |
3 211 |
5 267 |
690 |
427 |
9 596 |
20–24 |
75 010 |
45 748 |
9 213 |
2 771 |
132 742 |
25–29 |
161 311 |
67 736 |
11 160 |
1 828 |
242 035 |
Total |
239 532 |
118 751 |
21 063 |
5 027 |
384 373 |
Educational attainment |
Total |
|
|
|
|
|
At most 8 grades of primary school |
39 741 |
84 321 |
5 745 |
6 948 |
136 755 |
Vocational school, apprentice school |
112 791 |
54 140 |
10 105 |
2 430 |
179 466 |
Secondary general school |
70 818 |
54 039 |
9 723 |
2 025 |
136 604 |
Secondary vocational school |
145 807 |
41 278 |
11 327 |
1 262 |
199 675 |
College, university, PhD, DLA |
153 598 |
20 490 |
3 498 |
568 |
178 153 |
Total |
522 756 |
254 268 |
40 398 |
13 232 |
830 653 |
Male |
|
|
|
|
|
At most 8 grades of primary school |
25 156 |
51 207 |
3 235 |
4 693 |
84 291 |
Vocational school, apprentice school |
82 919 |
32 766 |
5 759 |
1 708 |
123 151 |
Secondary general school |
29 372 |
23 453 |
2 999 |
1 158 |
56 982 |
Secondary vocational school |
82 495 |
21 459 |
5 894 |
365 |
110 213 |
College, university, PhD, DLA |
63 283 |
6 632 |
1 448 |
281 |
71 643 |
Total |
283 224 |
135 516 |
19 334 |
8 205 |
446 280 |
Female |
|
|
|
|
|
At most 8 grades of primary school |
14 585 |
33 114 |
2 511 |
2 254 |
52 464 |
Vocational school, apprentice school |
29 872 |
21 374 |
4 346 |
722 |
56 315 |
Secondary general school |
41 447 |
30 586 |
6 724 |
866 |
79 623 |
Secondary vocational school |
63 312 |
19 820 |
5 433 |
897 |
89 462 |
College, university, PhD, DLA |
90 316 |
13 857 |
2 050 |
287 |
106 510 |
Total |
239 532 |
118 751 |
21 063 |
5 027 |
384 373 |
Economic activity |
Total |
|
|
|
|
|
employed |
463 219 |
186 914 |
32 075 |
9 673 |
691 882 |
unemployed |
14 126 |
33 425 |
2 492 |
762 |
50 805 |
inactive |
45 411 |
33 929 |
5 831 |
2 797 |
87 967 |
Total |
522 756 |
254 268 |
40 398 |
13 232 |
830 653 |
Male |
|
|
|
|
|
employed |
266 307 |
109 510 |
17 012 |
6 323 |
399 151 |
unemployed |
9 404 |
19 186 |
1 861 |
346 |
30 797 |
inactive |
7 513 |
6 821 |
461 |
1 537 |
16 332 |
Total |
283 224 |
135 516 |
19 334 |
8 205 |
446 280 |
Female |
|
|
|
|
|
employed |
196 913 |
77 404 |
15 063 |
3 351 |
292 731 |
unemployed |
4 721 |
14 239 |
631 |
417 |
20 008 |
inactive |
37 898 |
27 108 |
5 369 |
1 260 |
71 635 |
Total |
239 532 |
118 751 |
21 063 |
5 027 |
384 373 |
County and region of residence |
Total |
|
|
|
|
|
Central Hungary |
161 697 |
59 185 |
11 454 |
2 842 |
235 177 |
Budapest |
94 483 |
38 699 |
6 055 |
1 092 |
140 329 |
Pest |
67 213 |
20 486 |
5 399 |
1 750 |
94 849 |
Central Transdanubia |
62 580 |
29 942 |
4 280 |
2 662 |
99 465 |
Fejér |
25 608 |
9 322 |
1 169 |
958 |
37 057 |
Komárom-Esztergom |
17 756 |
9 775 |
1 799 |
1 205 |
30 536 |
Veszprém |
19 215 |
10 845 |
1 313 |
499 |
31 872 |
Western Transdanubia |
56 080 |
23 544 |
6 986 |
872 |
87 483 |
Győr-Moson-Sopron |
26 311 |
10 880 |
4 971 |
587 |
42 750 |
Vas |
14 645 |
7 581 |
918 |
285 |
23 430 |
Zala |
15 125 |
5 082 |
1 096 |
– |
21 303 |
Southern Transdanubia |
46 044 |
21 771 |
3 151 |
938 |
71 905 |
Baranya |
20 305 |
7 646 |
859 |
434 |
29 245 |
Somogy |
15 361 |
7 760 |
776 |
421 |
24 318 |
Tolna |
10 379 |
6 365 |
1 516 |
83 |
18 342 |
Northern Hungary |
56 110 |
35 559 |
5 150 |
3 370 |
100 188 |
Borsod-Abaúj-Zemplén |
34 912 |
21 161 |
2 484 |
3 253 |
61 810 |
Heves |
12 861 |
9 546 |
1 531 |
– |
23 939 |
Nógrád |
8 336 |
4 852 |
1 134 |
118 |
14 440 |
Northern Great Plain |
75 055 |
48 628 |
5 267 |
2 197 |
131 146 |
Hajdú-Bihar |
28 641 |
14 538 |
585 |
166 |
43 929 |
Jász-Nagykun-Szolnok |
17 310 |
13 133 |
1 910 |
1 398 |
33 751 |
Szabolcs-Szatmár-Bereg |
29 104 |
20 957 |
2 773 |
632 |
53 465 |
Southern Great Plain |
65 190 |
35 639 |
4 110 |
351 |
105 290 |
Bács-Kiskun |
27 367 |
15 498 |
1 872 |
351 |
45 088 |
Békés |
17 817 |
10 976 |
1 436 |
– |
30 229 |
Csongrád-Csanád |
20 006 |
9 165 |
802 |
– |
29 973 |
Total |
522 756 |
254 268 |
40 398 |
13 232 |
830 653 |
Male |
|
|
|
|
|
Central Hungary |
80 560 |
31 270 |
5 879 |
2 074 |
119 784 |
Budapest |
46 751 |
19 013 |
3 175 |
767 |
69 706 |
Pest |
33 810 |
12 256 |
2 704 |
1 308 |
50 078 |
Central Transdanubia |
32 154 |
16 807 |
1 826 |
1 468 |
52 255 |
Fejér |
14 244 |
5 373 |
– |
449 |
20 067 |
Komárom-Esztergom |
8 895 |
5 101 |
767 |
520 |
15 283 |
Veszprém |
9 016 |
6 332 |
1 060 |
499 |
16 906 |
Western Transdanubia |
30 785 |
10 338 |
2 238 |
421 |
43 781 |
Győr-Moson-Sopron |
15 090 |
4 061 |
1 196 |
421 |
20 767 |
Vas |
7 742 |
3 866 |
445 |
– |
12 053 |
Zala |
7 953 |
2 411 |
596 |
– |
10 960 |
Southern Transdanubia |
26 620 |
11 654 |
1 570 |
504 |
40 348 |
Baranya |
11 147 |
4 870 |
286 |
– |
16 304 |
Somogy |
9 617 |
3 033 |
394 |
421 |
13 465 |
Tolna |
5 857 |
3 750 |
890 |
83 |
10 579 |
Northern Hungary |
33 332 |
19 878 |
3 291 |
2 368 |
58 870 |
Borsod-Abaúj-Zemplén |
21 048 |
12 429 |
2 107 |
2 251 |
37 834 |
Heves |
6 994 |
4 560 |
789 |
– |
12 342 |
Nógrád |
5 291 |
2 890 |
396 |
118 |
8 694 |
Northern Great Plain |
43 898 |
28 066 |
2 572 |
1 217 |
75 753 |
Hajdú-Bihar |
16 994 |
8 996 |
220 |
166 |
26 377 |
Jász-Nagykun-Szolnok |
10 219 |
7 369 |
1 163 |
835 |
19 587 |
Szabolcs-Szatmár-Bereg |
16 684 |
11 700 |
1 189 |
215 |
29 789 |
Southern Great Plain |
35 873 |
17 504 |
1 958 |
153 |
55 488 |
Bács-Kiskun |
15 065 |
7 831 |
1 021 |
153 |
24 070 |
Békés |
10 473 |
5 433 |
337 |
– |
16 244 |
Csongrád-Csanád |
10 335 |
4 240 |
599 |
– |
15 175 |
Total |
283 224 |
135 516 |
19 334 |
8 205 |
446 280 |
Female |
|
|
|
|
|
Central Hungary |
81 136 |
27 915 |
5 574 |
768 |
115 394 |
Budapest |
47 733 |
19 685 |
2 879 |
325 |
70 623 |
Pest |
33 403 |
8 230 |
2 695 |
442 |
44 771 |
Central Transdanubia |
30 426 |
13 135 |
2 454 |
1 194 |
47 209 |
Fejér |
11 364 |
3 948 |
1 169 |
509 |
16 990 |
Komárom-Esztergom |
8 862 |
4 674 |
1 032 |
685 |
15 253 |
Veszprém |
10 200 |
4 513 |
253 |
– |
14 966 |
Western Transdanubia |
25 295 |
13 206 |
4 748 |
452 |
43 702 |
Győr-Moson-Sopron |
11 221 |
6 819 |
3 776 |
167 |
21 983 |
Vas |
6 903 |
3 715 |
473 |
285 |
11 376 |
Zala |
7 171 |
2 671 |
500 |
– |
10 343 |
Southern Transdanubia |
19 424 |
10 117 |
1 581 |
434 |
31 557 |
Baranya |
9 158 |
2 776 |
573 |
434 |
12 941 |
Somogy |
5 744 |
4 727 |
382 |
– |
10 853 |
Tolna |
4 522 |
2 614 |
626 |
– |
7 762 |
Northern Hungary |
22 777 |
15 680 |
1 858 |
1 002 |
41 318 |
Borsod-Abaúj-Zemplén |
13 864 |
8 732 |
377 |
1 002 |
23 975 |
Heves |
5 867 |
4 987 |
743 |
– |
11 597 |
Nógrád |
3 046 |
1 962 |
739 |
– |
5 746 |
Northern Great Plain |
31 157 |
20 562 |
2 695 |
980 |
55 393 |
Hajdú-Bihar |
11 646 |
5 541 |
364 |
– |
17 552 |
Jász-Nagykun-Szolnok |
7 091 |
5 764 |
747 |
563 |
14 164 |
Szabolcs-Szatmár-Bereg |
12 419 |
9 257 |
1 584 |
417 |
23 677 |
Southern Great Plain |
29 317 |
18 135 |
2 152 |
197 |
49 801 |
Bács-Kiskun |
12 303 |
7 667 |
851 |
197 |
21 018 |
Békés |
7 344 |
5 543 |
1 098 |
– |
13 985 |
Csongrád-Csanád |
9 670 |
4 925 |
203 |
– |
14 798 |
Total |
239 532 |
118 751 |
21 063 |
5 027 |
384 373 |
The administrative classification of residence |
Total |
|
|
|
|
|
town |
94 483 |
38 699 |
6 055 |
1 092 |
140 329 |
village |
183 294 |
96 572 |
14 331 |
6 331 |
300 528 |
Budapest |
244 978 |
118 997 |
20 012 |
5 809 |
389 796 |
Total |
522 756 |
254 268 |
40 398 |
13 232 |
830 653 |
Male |
|
|
|
|
|
town |
46 751 |
19 013 |
3 175 |
767 |
69 706 |
village |
106 410 |
54 434 |
8 362 |
3 840 |
173 047 |
Budapest |
130 063 |
62 069 |
7 797 |
3 598 |
203 527 |
Total |
283 224 |
135 516 |
19 334 |
8 205 |
446 280 |
Female |
|
|
|
|
|
town |
47 733 |
19 685 |
2 879 |
325 |
70 623 |
village |
76 884 |
42 138 |
5 969 |
2 491 |
127 481 |
Budapest |
114 915 |
56 928 |
12 215 |
2 211 |
186 270 |
Total |
239 532 |
118 751 |
21 063 |
5 027 |
384 373 |