Age group |
Total |
|
|
|
|
|
|
15–19 |
2 862 |
– |
488 |
655 |
4 825 |
485 972 |
20–24 |
3 322 |
293 |
– |
2 331 |
14 563 |
587 456 |
25–29 |
999 |
1 269 |
65 |
4 441 |
19 758 |
588 034 |
Total |
7 183 |
1 562 |
553 |
7 427 |
39 146 |
1 661 462 |
Male |
|
|
|
|
|
|
15–19 |
1 663 |
– |
416 |
441 |
2 334 |
248 936 |
20–24 |
1 199 |
– |
– |
1 877 |
5 203 |
299 066 |
25–29 |
– |
539 |
– |
1 932 |
8 707 |
299 416 |
Total |
2 863 |
539 |
416 |
4 250 |
16 244 |
847 418 |
Female |
|
|
|
|
|
|
15–19 |
1 198 |
– |
72 |
215 |
2 491 |
237 036 |
20–24 |
2 123 |
293 |
– |
453 |
9 360 |
288 390 |
25–29 |
999 |
730 |
65 |
2 509 |
11 051 |
288 618 |
Total |
4 320 |
1 023 |
137 |
3 177 |
22 902 |
814 044 |
Educational attainment |
Total |
|
|
|
|
|
|
At most 8 grades of primary school |
2 470 |
– |
488 |
1 021 |
3 909 |
588 889 |
Vocational school, apprentice school |
– |
– |
– |
318 |
1 080 |
207 448 |
Secondary general school |
2 289 |
613 |
– |
3 106 |
10 916 |
403 531 |
Secondary vocational school |
608 |
219 |
– |
982 |
3 733 |
238 998 |
College, university, PhD, DLA |
1 816 |
730 |
65 |
2 001 |
19 507 |
222 597 |
Total |
7 183 |
1 562 |
553 |
7 427 |
39 146 |
1 661 462 |
Male |
|
|
|
|
|
|
At most 8 grades of primary school |
1 272 |
– |
416 |
657 |
1 489 |
301 402 |
Vocational school, apprentice school |
– |
– |
– |
43 |
620 |
138 443 |
Secondary general school |
560 |
320 |
– |
1 825 |
4 696 |
184 847 |
Secondary vocational school |
608 |
219 |
– |
982 |
1 564 |
133 370 |
College, university, PhD, DLA |
423 |
– |
– |
743 |
7 875 |
89 356 |
Total |
2 863 |
539 |
416 |
4 250 |
16 244 |
847 418 |
Female |
|
|
|
|
|
|
At most 8 grades of primary school |
1 198 |
– |
72 |
364 |
2 420 |
287 487 |
Vocational school, apprentice school |
– |
– |
– |
275 |
460 |
69 005 |
Secondary general school |
1 729 |
293 |
– |
1 281 |
6 221 |
218 683 |
Secondary vocational school |
– |
– |
– |
– |
2 168 |
105 628 |
College, university, PhD, DLA |
1 393 |
730 |
65 |
1 257 |
11 633 |
133 241 |
Total |
4 320 |
1 023 |
137 |
3 177 |
22 902 |
814 044 |
County and region of residence |
Total |
|
|
|
|
|
|
Central Hungary |
3 084 |
157 |
– |
2 765 |
13 928 |
475 790 |
Budapest |
1 867 |
– |
– |
2 265 |
10 415 |
270 631 |
Pest |
1 217 |
157 |
– |
500 |
3 513 |
205 159 |
Central Transdanubia |
834 |
339 |
– |
433 |
3 193 |
180 261 |
Fejér |
335 |
339 |
– |
157 |
1 667 |
70 880 |
Komárom-Esztergom |
– |
– |
– |
275 |
601 |
51 882 |
Veszprém |
499 |
– |
– |
– |
925 |
57 499 |
Western Transdanubia |
844 |
– |
416 |
689 |
3 922 |
160 203 |
Győr-Moson-Sopron |
844 |
– |
– |
260 |
1 982 |
76 073 |
Vas |
– |
– |
– |
429 |
841 |
41 704 |
Zala |
– |
– |
416 |
– |
1 099 |
42 426 |
Southern Transdanubia |
434 |
391 |
65 |
290 |
3 543 |
146 237 |
Baranya |
434 |
391 |
65 |
290 |
2 780 |
61 055 |
Somogy |
– |
– |
– |
– |
644 |
48 933 |
Tolna |
– |
– |
– |
– |
120 |
36 249 |
Northern Hungary |
432 |
137 |
– |
– |
5 332 |
205 425 |
Borsod-Abaúj-Zemplén |
432 |
137 |
– |
– |
2 929 |
123 366 |
Heves |
– |
– |
– |
– |
877 |
48 467 |
Nógrád |
– |
– |
– |
– |
1 526 |
33 593 |
Northern Great Plain |
215 |
– |
72 |
1 026 |
4 019 |
275 958 |
Hajdú-Bihar |
– |
– |
– |
583 |
1 902 |
100 993 |
Jász-Nagykun-Szolnok |
215 |
– |
– |
– |
1 699 |
64 005 |
Szabolcs-Szatmár-Bereg |
– |
– |
72 |
442 |
418 |
110 960 |
Southern Great Plain |
1 341 |
539 |
– |
2 224 |
5 208 |
217 589 |
Bács-Kiskun |
595 |
219 |
– |
224 |
2 250 |
88 817 |
Békés |
607 |
320 |
– |
– |
877 |
58 298 |
Csongrád-Csanád |
139 |
– |
– |
2 000 |
2 081 |
70 474 |
Total |
7 183 |
1 562 |
553 |
7 427 |
39 146 |
1 661 462 |
Male |
|
|
|
|
|
|
Central Hungary |
1 327 |
– |
– |
953 |
4 333 |
236 186 |
Budapest |
349 |
– |
– |
453 |
2 097 |
131 629 |
Pest |
979 |
– |
– |
500 |
2 236 |
104 556 |
Central Transdanubia |
– |
– |
– |
157 |
1 623 |
93 171 |
Fejér |
– |
– |
– |
157 |
869 |
36 334 |
Komárom-Esztergom |
– |
– |
– |
– |
437 |
26 836 |
Veszprém |
– |
– |
– |
– |
317 |
30 001 |
Western Transdanubia |
341 |
– |
416 |
257 |
2 336 |
82 662 |
Győr-Moson-Sopron |
341 |
– |
– |
43 |
1 298 |
38 989 |
Vas |
– |
– |
– |
215 |
434 |
21 337 |
Zala |
– |
– |
416 |
– |
605 |
22 335 |
Southern Transdanubia |
376 |
– |
– |
290 |
1 489 |
75 386 |
Baranya |
376 |
– |
– |
290 |
1 349 |
31 607 |
Somogy |
– |
– |
– |
– |
140 |
24 799 |
Tolna |
– |
– |
– |
– |
– |
18 980 |
Northern Hungary |
337 |
– |
– |
– |
2 498 |
106 003 |
Borsod-Abaúj-Zemplén |
337 |
– |
– |
– |
1 721 |
63 745 |
Heves |
– |
– |
– |
– |
299 |
24 875 |
Nógrád |
– |
– |
– |
– |
479 |
17 383 |
Northern Great Plain |
– |
– |
– |
592 |
1 127 |
142 063 |
Hajdú-Bihar |
– |
– |
– |
149 |
395 |
51 855 |
Jász-Nagykun-Szolnok |
– |
– |
– |
– |
686 |
33 010 |
Szabolcs-Szatmár-Bereg |
– |
– |
– |
442 |
46 |
57 198 |
Southern Great Plain |
482 |
539 |
– |
2 000 |
2 837 |
111 947 |
Bács-Kiskun |
367 |
219 |
– |
– |
1 191 |
45 861 |
Békés |
114 |
320 |
– |
– |
426 |
30 184 |
Csongrád-Csanád |
– |
– |
– |
2 000 |
1 220 |
35 902 |
Total |
2 863 |
539 |
416 |
4 250 |
16 244 |
847 418 |
Female |
|
|
|
|
|
|
Central Hungary |
1 757 |
157 |
– |
1 812 |
9 596 |
239 604 |
Budapest |
1 518 |
– |
– |
1 812 |
8 318 |
139 002 |
Pest |
239 |
157 |
– |
– |
1 278 |
100 602 |
Central Transdanubia |
834 |
339 |
– |
275 |
1 570 |
87 090 |
Fejér |
335 |
339 |
– |
– |
797 |
34 546 |
Komárom-Esztergom |
– |
– |
– |
275 |
164 |
25 046 |
Veszprém |
499 |
– |
– |
– |
608 |
27 498 |
Western Transdanubia |
503 |
– |
– |
432 |
1 585 |
77 541 |
Győr-Moson-Sopron |
503 |
– |
– |
217 |
685 |
37 084 |
Vas |
– |
– |
– |
215 |
407 |
20 367 |
Zala |
– |
– |
– |
– |
494 |
20 091 |
Southern Transdanubia |
58 |
391 |
65 |
– |
2 054 |
70 851 |
Baranya |
58 |
391 |
65 |
– |
1 431 |
29 448 |
Somogy |
– |
– |
– |
– |
504 |
24 134 |
Tolna |
– |
– |
– |
– |
120 |
17 269 |
Northern Hungary |
95 |
137 |
– |
– |
2 834 |
99 422 |
Borsod-Abaúj-Zemplén |
95 |
137 |
– |
– |
1 209 |
59 621 |
Heves |
– |
– |
– |
– |
578 |
23 591 |
Nógrád |
– |
– |
– |
– |
1 047 |
16 210 |
Northern Great Plain |
215 |
– |
72 |
434 |
2 892 |
133 895 |
Hajdú-Bihar |
– |
– |
– |
434 |
1 507 |
49 138 |
Jász-Nagykun-Szolnok |
215 |
– |
– |
– |
1 013 |
30 995 |
Szabolcs-Szatmár-Bereg |
– |
– |
72 |
– |
372 |
53 762 |
Southern Great Plain |
859 |
– |
– |
224 |
2 371 |
105 642 |
Bács-Kiskun |
228 |
– |
– |
224 |
1 059 |
42 956 |
Békés |
492 |
– |
– |
– |
451 |
28 114 |
Csongrád-Csanád |
139 |
– |
– |
– |
861 |
34 571 |
Total |
4 320 |
1 023 |
137 |
3 177 |
22 902 |
814 044 |
The administrative classification of residence |
Total |
|
|
|
|
|
|
town |
1 867 |
– |
– |
2 265 |
10 415 |
270 631 |
village |
815 |
– |
553 |
560 |
11 188 |
604 501 |
Budapest |
4 501 |
1 562 |
– |
4 602 |
17 543 |
786 329 |
Total |
7 183 |
1 562 |
553 |
7 427 |
39 146 |
1 661 462 |
Male |
|
|
|
|
|
|
town |
349 |
– |
– |
453 |
2 097 |
131 629 |
village |
504 |
– |
416 |
485 |
5 893 |
316 674 |
Budapest |
2 010 |
539 |
– |
3 312 |
8 253 |
399 114 |
Total |
2 863 |
539 |
416 |
4 250 |
16 244 |
847 418 |
Female |
|
|
|
|
|
|
town |
1 518 |
– |
– |
1 812 |
8 318 |
139 002 |
village |
312 |
– |
137 |
75 |
5 294 |
287 827 |
Budapest |
2 490 |
1 023 |
– |
1 290 |
9 290 |
387 215 |
Total |
4 320 |
1 023 |
137 |
3 177 |
22 902 |
814 044 |