Age group |
Total |
|
|
|
|
|
15–19 |
28 461 |
4 772 |
46 550 |
406 189 |
485 972 |
20–24 |
260 493 |
47 667 |
58 269 |
220 847 |
587 276 |
25–29 |
431 767 |
98 803 |
15 411 |
42 053 |
588 034 |
Total |
720 722 |
151 242 |
120 229 |
669 088 |
1 661 281 |
Male |
|
|
|
|
|
15–19 |
18 951 |
2 298 |
24 781 |
202 906 |
248 936 |
20–24 |
142 811 |
21 533 |
32 944 |
101 597 |
298 885 |
25–29 |
250 947 |
27 796 |
6 692 |
13 981 |
299 416 |
Total |
412 710 |
51 627 |
64 417 |
318 484 |
847 237 |
Female |
|
|
|
|
|
15–19 |
9 510 |
2 474 |
21 769 |
203 283 |
237 036 |
20–24 |
117 682 |
26 134 |
25 325 |
119 249 |
288 390 |
25–29 |
180 820 |
71 006 |
8 719 |
28 073 |
288 618 |
Total |
308 012 |
99 615 |
55 813 |
350 604 |
814 044 |
Educational attainment |
Total |
|
|
|
|
|
At most 8 grades of primary school |
96 113 |
43 648 |
45 444 |
403 683 |
588 889 |
Vocational school, apprentice school |
148 754 |
32 538 |
5 517 |
20 457 |
207 267 |
Secondary general school |
122 986 |
29 199 |
54 000 |
197 345 |
403 530 |
Secondary vocational school |
179 932 |
27 001 |
7 318 |
24 748 |
238 998 |
College, university, PhD, DLA |
172 936 |
18 855 |
7 950 |
22 855 |
222 597 |
Total |
720 722 |
151 242 |
120 229 |
669 088 |
1 661 281 |
Male |
|
|
|
|
|
At most 8 grades of primary school |
66 439 |
18 855 |
24 411 |
191 696 |
301 402 |
Vocational school, apprentice school |
108 463 |
15 609 |
3 327 |
10 864 |
138 262 |
Secondary general school |
56 415 |
6 383 |
29 607 |
92 442 |
184 847 |
Secondary vocational school |
107 723 |
7 763 |
3 965 |
13 919 |
133 370 |
College, university, PhD, DLA |
73 670 |
3 016 |
3 107 |
9 563 |
89 356 |
Total |
412 710 |
51 627 |
64 417 |
318 484 |
847 237 |
Female |
|
|
|
|
|
At most 8 grades of primary school |
29 674 |
24 793 |
21 033 |
211 987 |
287 487 |
Vocational school, apprentice school |
40 292 |
16 929 |
2 191 |
9 593 |
69 005 |
Secondary general school |
66 571 |
22 816 |
24 393 |
104 903 |
218 683 |
Secondary vocational school |
72 209 |
19 238 |
3 352 |
10 829 |
105 628 |
College, university, PhD, DLA |
99 266 |
15 839 |
4 843 |
13 292 |
133 241 |
Total |
308 012 |
99 615 |
55 813 |
350 604 |
814 044 |
County and region of residence |
Total |
|
|
|
|
|
Central Hungary |
209 936 |
38 390 |
36 983 |
190 481 |
475 790 |
Budapest |
124 469 |
25 546 |
20 153 |
100 462 |
270 631 |
Pest |
85 467 |
12 843 |
16 829 |
90 019 |
205 159 |
Central Transdanubia |
91 420 |
11 017 |
16 000 |
61 824 |
180 261 |
Fejér |
36 053 |
3 082 |
6 634 |
25 111 |
70 880 |
Komárom-Esztergom |
27 223 |
3 764 |
5 968 |
14 926 |
51 882 |
Veszprém |
28 144 |
4 170 |
3 398 |
21 788 |
57 499 |
Western Transdanubia |
76 969 |
14 905 |
8 978 |
59 350 |
160 203 |
Győr-Moson-Sopron |
37 184 |
8 703 |
2 483 |
27 703 |
76 073 |
Vas |
20 613 |
3 391 |
4 648 |
13 052 |
41 704 |
Zala |
19 172 |
2 811 |
1 847 |
18 596 |
42 426 |
Southern Transdanubia |
59 569 |
15 456 |
10 061 |
61 151 |
146 237 |
Baranya |
24 798 |
5 424 |
6 260 |
24 572 |
61 055 |
Somogy |
18 694 |
7 073 |
2 726 |
20 441 |
48 933 |
Tolna |
16 077 |
2 959 |
1 075 |
16 138 |
36 249 |
Northern Hungary |
85 111 |
18 618 |
9 404 |
92 292 |
205 425 |
Borsod-Abaúj-Zemplén |
52 033 |
11 811 |
5 224 |
54 298 |
123 366 |
Heves |
20 334 |
3 993 |
2 473 |
21 667 |
48 467 |
Nógrád |
12 745 |
2 814 |
1 707 |
16 327 |
33 593 |
Northern Great Plain |
106 393 |
31 933 |
11 658 |
125 974 |
275 958 |
Hajdú-Bihar |
38 444 |
9 921 |
3 501 |
49 128 |
100 993 |
Jász-Nagykun-Szolnok |
28 155 |
6 414 |
3 089 |
26 347 |
64 005 |
Szabolcs-Szatmár-Bereg |
39 795 |
15 598 |
5 068 |
50 499 |
110 960 |
Southern Great Plain |
91 323 |
20 923 |
27 145 |
78 016 |
217 408 |
Bács-Kiskun |
39 776 |
7 868 |
10 381 |
30 793 |
88 817 |
Békés |
25 783 |
5 591 |
10 181 |
16 563 |
58 117 |
Csongrád-Csanád |
25 765 |
7 464 |
6 583 |
30 661 |
70 474 |
Total |
720 722 |
151 242 |
120 229 |
669 088 |
1 661 281 |
Male |
|
|
|
|
|
Central Hungary |
116 041 |
9 443 |
18 760 |
91 942 |
236 186 |
Budapest |
67 098 |
6 960 |
9 196 |
48 375 |
131 629 |
Pest |
48 943 |
2 483 |
9 564 |
43 566 |
104 556 |
Central Transdanubia |
50 999 |
2 523 |
9 028 |
30 621 |
93 171 |
Fejér |
20 180 |
461 |
3 277 |
12 417 |
36 334 |
Komárom-Esztergom |
14 511 |
1 024 |
3 744 |
7 558 |
26 836 |
Veszprém |
16 309 |
1 039 |
2 007 |
10 646 |
30 001 |
Western Transdanubia |
41 586 |
5 048 |
4 931 |
31 097 |
82 662 |
Győr-Moson-Sopron |
19 950 |
2 943 |
1 483 |
14 612 |
38 989 |
Vas |
10 721 |
1 655 |
1 939 |
7 023 |
21 337 |
Zala |
10 915 |
449 |
1 509 |
9 461 |
22 335 |
Southern Transdanubia |
35 597 |
5 967 |
6 570 |
27 252 |
75 386 |
Baranya |
14 091 |
2 427 |
4 331 |
10 757 |
31 607 |
Somogy |
11 852 |
2 556 |
1 465 |
8 925 |
24 799 |
Tolna |
9 653 |
984 |
773 |
7 569 |
18 980 |
Northern Hungary |
52 814 |
7 800 |
4 982 |
40 408 |
106 003 |
Borsod-Abaúj-Zemplén |
33 386 |
5 581 |
2 331 |
22 446 |
63 745 |
Heves |
11 193 |
1 390 |
1 602 |
10 691 |
24 875 |
Nógrád |
8 235 |
828 |
1 050 |
7 271 |
17 383 |
Northern Great Plain |
64 313 |
13 879 |
5 377 |
58 494 |
142 063 |
Hajdú-Bihar |
23 863 |
3 752 |
1 119 |
23 121 |
51 855 |
Jász-Nagykun-Szolnok |
17 082 |
2 741 |
1 244 |
11 942 |
33 010 |
Szabolcs-Szatmár-Bereg |
23 368 |
7 386 |
3 014 |
23 430 |
57 198 |
Southern Great Plain |
51 360 |
6 967 |
14 768 |
38 672 |
111 767 |
Bács-Kiskun |
22 565 |
1 977 |
5 995 |
15 324 |
45 861 |
Békés |
14 253 |
2 278 |
5 564 |
7 908 |
30 003 |
Csongrád-Csanád |
14 542 |
2 711 |
3 209 |
15 440 |
35 902 |
Total |
412 710 |
51 627 |
64 417 |
318 484 |
847 237 |
Female |
|
|
|
|
|
Central Hungary |
93 895 |
28 946 |
18 223 |
98 540 |
239 604 |
Budapest |
57 371 |
18 586 |
10 957 |
52 087 |
139 002 |
Pest |
36 524 |
10 360 |
7 265 |
46 452 |
100 602 |
Central Transdanubia |
40 420 |
8 493 |
6 972 |
31 204 |
87 090 |
Fejér |
15 873 |
2 621 |
3 357 |
12 694 |
34 546 |
Komárom-Esztergom |
12 713 |
2 741 |
2 225 |
7 368 |
25 046 |
Veszprém |
11 835 |
3 131 |
1 391 |
11 141 |
27 498 |
Western Transdanubia |
35 383 |
9 857 |
4 047 |
28 253 |
77 541 |
Győr-Moson-Sopron |
17 234 |
5 760 |
999 |
13 091 |
37 084 |
Vas |
9 893 |
1 736 |
2 710 |
6 028 |
20 367 |
Zala |
8 256 |
2 362 |
338 |
9 134 |
20 091 |
Southern Transdanubia |
23 972 |
9 490 |
3 491 |
33 899 |
70 851 |
Baranya |
10 707 |
2 997 |
1 929 |
13 814 |
29 448 |
Somogy |
6 841 |
4 517 |
1 260 |
11 516 |
24 134 |
Tolna |
6 423 |
1 975 |
302 |
8 569 |
17 269 |
Northern Hungary |
32 298 |
10 818 |
4 422 |
51 884 |
99 422 |
Borsod-Abaúj-Zemplén |
18 646 |
6 230 |
2 894 |
31 852 |
59 621 |
Heves |
9 141 |
2 603 |
871 |
10 976 |
23 591 |
Nógrád |
4 510 |
1 986 |
657 |
9 056 |
16 210 |
Northern Great Plain |
42 081 |
18 054 |
6 281 |
67 480 |
133 895 |
Hajdú-Bihar |
14 581 |
6 169 |
2 382 |
26 007 |
49 138 |
Jász-Nagykun-Szolnok |
11 073 |
3 673 |
1 844 |
14 405 |
30 995 |
Szabolcs-Szatmár-Bereg |
16 427 |
8 212 |
2 054 |
27 069 |
53 762 |
Southern Great Plain |
39 963 |
13 956 |
12 377 |
39 345 |
105 642 |
Bács-Kiskun |
17 211 |
5 891 |
4 386 |
15 469 |
42 956 |
Békés |
11 529 |
3 313 |
4 618 |
8 654 |
28 114 |
Csongrád-Csanád |
11 223 |
4 753 |
3 374 |
15 221 |
34 571 |
Total |
308 012 |
99 615 |
55 813 |
350 604 |
814 044 |
The administrative classification of residence |
Total |
|
|
|
|
|
town |
341 011 |
69 217 |
58 133 |
317 787 |
786 149 |
village |
255 242 |
56 478 |
41 943 |
250 838 |
604 501 |
Budapest |
124 469 |
25 546 |
20 153 |
100 462 |
270 631 |
Total |
720 722 |
151 242 |
120 229 |
669 088 |
1 661 281 |
Male |
|
|
|
|
|
town |
189 614 |
23 533 |
32 940 |
152 848 |
398 933 |
village |
155 998 |
21 134 |
22 281 |
117 261 |
316 674 |
Budapest |
67 098 |
6 960 |
9 196 |
48 375 |
131 629 |
Total |
412 710 |
51 627 |
64 417 |
318 484 |
847 237 |
Female |
|
|
|
|
|
town |
151 398 |
45 685 |
25 193 |
164 940 |
387 215 |
village |
99 244 |
35 344 |
19 662 |
133 578 |
287 827 |
Budapest |
57 371 |
18 586 |
10 957 |
52 087 |
139 002 |
Total |
308 012 |
99 615 |
55 813 |
350 604 |
814 044 |