Age group |
Total |
|
|
|
|
|
15–19 |
381 504 |
3 149 |
7 463 |
8 504 |
400 619 |
20–24 |
199 168 |
3 684 |
49 499 |
13 957 |
266 308 |
25–29 |
26 596 |
2 355 |
54 315 |
12 612 |
95 879 |
Total |
607 269 |
9 188 |
111 277 |
35 073 |
762 806 |
Male |
|
|
|
|
|
15–19 |
192 547 |
978 |
5 455 |
3 987 |
202 968 |
20–24 |
100 416 |
1 767 |
19 986 |
6 397 |
128 566 |
25–29 |
10 271 |
546 |
28 535 |
5 654 |
45 006 |
Total |
303 234 |
3 292 |
53 977 |
16 038 |
376 541 |
Female |
|
|
|
|
|
15–19 |
188 957 |
2 170 |
2 007 |
4 517 |
197 651 |
20–24 |
98 752 |
1 917 |
29 512 |
7 561 |
137 742 |
25–29 |
16 325 |
1 809 |
25 780 |
6 958 |
50 872 |
Total |
304 034 |
5 896 |
57 300 |
19 036 |
386 266 |
Educational attainment |
Total |
|
|
|
|
|
At most 8 grades of primary school |
346 682 |
2 805 |
14 228 |
11 932 |
375 648 |
Vocational school, apprentice school |
9 766 |
864 |
14 420 |
3 046 |
28 097 |
Secondary general school |
205 651 |
3 639 |
27 459 |
8 831 |
245 580 |
Secondary vocational school |
21 626 |
748 |
24 631 |
5 813 |
52 818 |
College, university, PhD, DLA |
23 544 |
1 131 |
30 538 |
5 451 |
60 664 |
Total |
607 269 |
9 188 |
111 277 |
35 073 |
762 806 |
Male |
|
|
|
|
|
At most 8 grades of primary school |
173 267 |
1 100 |
8 773 |
5 551 |
188 690 |
Vocational school, apprentice school |
6 084 |
304 |
7 633 |
1 547 |
15 568 |
Secondary general school |
101 486 |
1 370 |
10 555 |
3 146 |
116 557 |
Secondary vocational school |
12 676 |
318 |
15 390 |
3 579 |
31 963 |
College, university, PhD, DLA |
9 722 |
200 |
11 626 |
2 214 |
23 762 |
Total |
303 234 |
3 292 |
53 977 |
16 038 |
376 541 |
Female |
|
|
|
|
|
At most 8 grades of primary school |
173 415 |
1 705 |
5 456 |
6 381 |
186 957 |
Vocational school, apprentice school |
3 682 |
560 |
6 787 |
1 499 |
12 529 |
Secondary general school |
104 165 |
2 269 |
16 904 |
5 684 |
129 023 |
Secondary vocational school |
8 950 |
430 |
9 241 |
2 234 |
20 854 |
College, university, PhD, DLA |
13 822 |
932 |
18 911 |
3 237 |
36 903 |
Total |
304 034 |
5 896 |
57 300 |
19 036 |
386 266 |
Economic activity |
Total |
|
|
|
|
|
employed |
12 739 |
2 871 |
86 539 |
12 664 |
114 813 |
unemployed |
4 723 |
292 |
9 514 |
5 351 |
19 881 |
inactive |
589 806 |
6 025 |
15 223 |
17 058 |
628 112 |
Total |
607 269 |
9 188 |
111 277 |
35 073 |
762 806 |
Male |
|
|
|
|
|
employed |
7 425 |
931 |
42 052 |
7 137 |
57 545 |
unemployed |
1 885 |
129 |
5 793 |
2 253 |
10 060 |
inactive |
293 924 |
2 231 |
6 133 |
6 648 |
308 936 |
Total |
303 234 |
3 292 |
53 977 |
16 038 |
376 541 |
Female |
|
|
|
|
|
employed |
5 313 |
1 939 |
44 488 |
5 528 |
57 268 |
unemployed |
2 838 |
163 |
3 721 |
3 098 |
9 821 |
inactive |
295 882 |
3 794 |
9 090 |
10 410 |
319 176 |
Total |
304 034 |
5 896 |
57 300 |
19 036 |
386 266 |
County and region of residence |
Total |
|
|
|
|
|
Central Hungary |
188 870 |
1 767 |
34 347 |
10 248 |
235 233 |
Budapest |
104 549 |
857 |
25 812 |
4 852 |
136 071 |
Pest |
84 321 |
910 |
8 536 |
5 396 |
99 162 |
Central Transdanubia |
58 595 |
1 843 |
13 342 |
4 178 |
77 958 |
Fejér |
25 086 |
1 176 |
2 854 |
2 367 |
31 482 |
Komárom-Esztergom |
13 606 |
524 |
6 323 |
1 153 |
21 605 |
Veszprém |
19 903 |
144 |
4 165 |
659 |
24 870 |
Western Transdanubia |
50 064 |
903 |
10 368 |
1 553 |
62 888 |
Győr-Moson-Sopron |
18 852 |
305 |
3 298 |
310 |
22 765 |
Vas |
14 533 |
– |
4 529 |
847 |
19 909 |
Zala |
16 680 |
598 |
2 541 |
396 |
20 215 |
Southern Transdanubia |
54 585 |
524 |
6 763 |
3 177 |
65 049 |
Baranya |
25 403 |
– |
3 133 |
870 |
29 405 |
Somogy |
16 605 |
81 |
1 197 |
1 609 |
19 492 |
Tolna |
12 577 |
443 |
2 433 |
698 |
16 151 |
Northern Hungary |
70 848 |
605 |
13 017 |
4 343 |
88 813 |
Borsod-Abaúj-Zemplén |
42 721 |
605 |
10 096 |
2 823 |
56 245 |
Heves |
16 028 |
– |
1 599 |
519 |
18 146 |
Nógrád |
12 099 |
– |
1 322 |
1 001 |
14 422 |
Northern Great Plain |
103 150 |
2 018 |
18 857 |
5 425 |
129 449 |
Hajdú-Bihar |
41 270 |
785 |
8 076 |
2 176 |
52 307 |
Jász-Nagykun-Szolnok |
22 365 |
278 |
2 958 |
1 407 |
27 008 |
Szabolcs-Szatmár-Bereg |
39 515 |
955 |
7 823 |
1 842 |
50 135 |
Southern Great Plain |
81 157 |
1 527 |
14 582 |
6 150 |
103 416 |
Bács-Kiskun |
25 746 |
586 |
6 368 |
2 504 |
35 203 |
Békés |
20 160 |
642 |
3 694 |
1 711 |
26 206 |
Csongrád-Csanád |
35 252 |
300 |
4 521 |
1 935 |
42 007 |
Total |
607 269 |
9 188 |
111 277 |
35 073 |
762 806 |
Male |
|
|
|
|
|
Central Hungary |
94 109 |
244 |
16 829 |
5 282 |
116 464 |
Budapest |
49 004 |
– |
13 881 |
3 586 |
66 471 |
Pest |
45 104 |
244 |
2 948 |
1 697 |
49 993 |
Central Transdanubia |
30 210 |
761 |
6 444 |
1 837 |
39 252 |
Fejér |
12 660 |
280 |
1 210 |
1 176 |
15 325 |
Komárom-Esztergom |
7 572 |
337 |
2 746 |
232 |
10 887 |
Veszprém |
9 978 |
144 |
2 488 |
429 |
13 040 |
Western Transdanubia |
27 203 |
462 |
6 255 |
792 |
34 713 |
Győr-Moson-Sopron |
11 226 |
141 |
2 058 |
170 |
13 595 |
Vas |
7 000 |
– |
2 625 |
226 |
9 852 |
Zala |
8 977 |
321 |
1 572 |
396 |
11 266 |
Southern Transdanubia |
26 990 |
– |
4 143 |
942 |
32 075 |
Baranya |
12 364 |
– |
2 057 |
133 |
14 555 |
Somogy |
7 968 |
– |
750 |
458 |
9 176 |
Tolna |
6 658 |
– |
1 336 |
351 |
8 345 |
Northern Hungary |
34 283 |
300 |
6 139 |
1 974 |
42 697 |
Borsod-Abaúj-Zemplén |
19 382 |
300 |
4 678 |
1 333 |
25 694 |
Heves |
8 917 |
– |
953 |
177 |
10 046 |
Nógrád |
5 984 |
– |
508 |
465 |
6 957 |
Northern Great Plain |
48 236 |
584 |
7 844 |
2 347 |
59 011 |
Hajdú-Bihar |
19 982 |
107 |
2 728 |
541 |
23 359 |
Jász-Nagykun-Szolnok |
9 675 |
– |
1 335 |
1 058 |
12 068 |
Szabolcs-Szatmár-Bereg |
18 578 |
477 |
3 782 |
748 |
23 584 |
Southern Great Plain |
42 204 |
940 |
6 323 |
2 864 |
52 331 |
Bács-Kiskun |
14 062 |
94 |
2 383 |
933 |
17 472 |
Békés |
9 591 |
642 |
1 883 |
1 159 |
13 275 |
Csongrád-Csanád |
18 550 |
205 |
2 057 |
772 |
21 584 |
Total |
303 234 |
3 292 |
53 977 |
16 038 |
376 541 |
Female |
|
|
|
|
|
Central Hungary |
94 761 |
1 523 |
17 519 |
4 966 |
118 769 |
Budapest |
55 545 |
857 |
11 931 |
1 266 |
69 600 |
Pest |
39 216 |
666 |
5 588 |
3 699 |
49 169 |
Central Transdanubia |
28 384 |
1 082 |
6 898 |
2 341 |
38 706 |
Fejér |
12 426 |
895 |
1 645 |
1 191 |
16 157 |
Komárom-Esztergom |
6 034 |
187 |
3 577 |
921 |
10 719 |
Veszprém |
9 924 |
– |
1 677 |
230 |
11 830 |
Western Transdanubia |
22 861 |
441 |
4 113 |
761 |
28 176 |
Győr-Moson-Sopron |
7 626 |
163 |
1 240 |
140 |
9 170 |
Vas |
7 532 |
– |
1 904 |
621 |
10 057 |
Zala |
7 702 |
277 |
969 |
– |
8 949 |
Southern Transdanubia |
27 595 |
524 |
2 620 |
2 235 |
32 974 |
Baranya |
13 039 |
– |
1 076 |
736 |
14 851 |
Somogy |
8 637 |
81 |
447 |
1 151 |
10 317 |
Tolna |
5 919 |
443 |
1 097 |
348 |
7 807 |
Northern Hungary |
36 564 |
305 |
6 878 |
2 369 |
46 116 |
Borsod-Abaúj-Zemplén |
23 339 |
305 |
5 418 |
1 490 |
30 552 |
Heves |
7 111 |
– |
646 |
342 |
8 099 |
Nógrád |
6 114 |
– |
814 |
537 |
7 465 |
Northern Great Plain |
54 914 |
1 434 |
11 013 |
3 078 |
70 439 |
Hajdú-Bihar |
21 287 |
678 |
5 348 |
1 634 |
28 948 |
Jász-Nagykun-Szolnok |
12 689 |
278 |
1 623 |
349 |
14 940 |
Szabolcs-Szatmár-Bereg |
20 937 |
478 |
4 041 |
1 094 |
26 551 |
Southern Great Plain |
38 953 |
587 |
8 259 |
3 286 |
51 086 |
Bács-Kiskun |
11 684 |
492 |
3 985 |
1 571 |
17 731 |
Békés |
10 568 |
– |
1 811 |
552 |
12 931 |
Csongrád-Csanád |
16 701 |
95 |
2 464 |
1 163 |
20 423 |
Total |
304 034 |
5 896 |
57 300 |
19 036 |
386 266 |
The administrative classification of residence |
Total |
|
|
|
|
|
town |
104 549 |
857 |
25 812 |
4 852 |
136 071 |
village |
216 317 |
3 612 |
31 405 |
12 125 |
263 460 |
Budapest |
286 402 |
4 719 |
54 059 |
18 096 |
363 276 |
Total |
607 269 |
9 188 |
111 277 |
35 073 |
762 806 |
Male |
|
|
|
|
|
town |
49 004 |
– |
13 881 |
3 586 |
66 471 |
village |
107 997 |
1 212 |
16 412 |
4 799 |
130 420 |
Budapest |
146 232 |
2 079 |
23 684 |
7 653 |
179 649 |
Total |
303 234 |
3 292 |
53 977 |
16 038 |
376 541 |
Female |
|
|
|
|
|
town |
55 545 |
857 |
11 931 |
1 266 |
69 600 |
village |
108 320 |
2 399 |
14 993 |
7 327 |
133 039 |
Budapest |
140 170 |
2 639 |
30 375 |
10 442 |
183 627 |
Total |
304 034 |
5 896 |
57 300 |
19 036 |
386 266 |