| Total |
129 640 |
12 721 |
5 594 |
2 883 |
150 838 |
| Sex |
|
|
|
|
|
| Male |
69 809 |
7 166 |
2 732 |
1 508 |
81 215 |
| Female |
59 831 |
5 555 |
2 862 |
1 375 |
69 623 |
| Age groups |
|
|
|
|
|
| 15–19 |
11 024 |
726 |
342 |
191 |
12 283 |
| 20–24 |
11 029 |
1 348 |
156 |
– |
12 533 |
| 25–29 |
8 102 |
782 |
123 |
874 |
9 881 |
| 30–34 |
14 013 |
1 175 |
938 |
– |
16 126 |
| 35–39 |
16 480 |
1 489 |
263 |
219 |
18 451 |
| 40–44 |
10 824 |
1 275 |
1 016 |
215 |
13 330 |
| 45–49 |
15 987 |
2 049 |
267 |
348 |
18 651 |
| 50–54 |
12 084 |
1 022 |
667 |
242 |
14 015 |
| 55–59 |
8 614 |
1 280 |
536 |
189 |
10 619 |
| 60–64 |
11 233 |
834 |
706 |
139 |
12 912 |
| 65–69 |
6 594 |
316 |
448 |
367 |
7 725 |
| 70–74 |
3 655 |
426 |
132 |
99 |
4 312 |
| Highest level of education |
|
|
|
|
|
| Less than 8 grades of primary school |
684 |
– |
– |
– |
684 |
| Primary school |
21 280 |
1 935 |
425 |
395 |
24 035 |
| Vocational and apprentice school |
24 826 |
2 140 |
1 329 |
331 |
28 626 |
| Secondary general school |
14 107 |
824 |
416 |
– |
15 347 |
| Secondary vocational school |
28 134 |
2 709 |
998 |
328 |
32 169 |
| Tertiary education |
40 609 |
5 114 |
2 427 |
1 830 |
49 980 |
| Type of settlement |
|
|
|
|
|
| Village |
43 033 |
3 735 |
2 097 |
1 056 |
49 921 |
| Town |
59 760 |
7 341 |
2 340 |
1 215 |
70 656 |
| Budapest |
26 848 |
1 646 |
1 156 |
613 |
30 263 |
| Economic activity |
|
|
|
|
|
| Employed |
78 092 |
9 013 |
4 646 |
2 390 |
94 141 |
| Unemployed |
5 509 |
128 |
317 |
– |
5 954 |
| Economically inactive |
46 040 |
3 580 |
630 |
493 |
50 743 |
| Marital status |
|
|
|
|
|
| Single |
49 567 |
4 022 |
711 |
1 076 |
55 376 |
| Married |
61 371 |
7 085 |
3 586 |
1 086 |
73 128 |
| Widowed, divorced or legally separated |
18 703 |
1 614 |
1 297 |
722 |
22 336 |
| Status in the family |
|
|
|
|
|
| Single |
17 914 |
1 678 |
1 095 |
1 003 |
21 690 |
| Not single |
111 726 |
11 044 |
4 499 |
1 881 |
129 150 |
| Of which: |
|
|
|
|
|
| husband |
34 514 |
3 995 |
1 532 |
297 |
40 338 |
| wife |
23 656 |
2 883 |
2 054 |
574 |
29 167 |
| cohabitant |
14 722 |
1 073 |
89 |
116 |
16 000 |
| single parent |
7 236 |
319 |
202 |
332 |
8 089 |
| child |
27 312 |
2 774 |
622 |
463 |
31 171 |
| other |
4 287 |
– |
– |
99 |
4 386 |
| Type of household – by activity |
|
|
|
|
|
| There is at least one employed person in the household |
106 912 |
11 131 |
5 228 |
2 618 |
125 889 |
| All members of the household aged 15–74 are unemployed |
2 379 |
– |
– |
– |
2 379 |
| All are economically inactive |
1 415 |
– |
– |
– |
1 415 |
| All are unemployed or economically inactive |
18 935 |
1 590 |
366 |
266 |
21 157 |
| Number of children under age 19 in the household |
|
|
|
|
|
| no children under age 19 |
74 979 |
6 273 |
2 410 |
2 125 |
85 787 |
| 1 child under age 19 |
30 294 |
3 305 |
1 297 |
722 |
35 618 |
| 2 children under age 19 |
17 589 |
1 882 |
1 465 |
37 |
20 973 |
| 3 or more children under age 19 |
6 778 |
1 262 |
421 |
– |
8 461 |
| Area of education |
|
|
|
|
|
| General programmes |
35 122 |
2 759 |
746 |
395 |
39 022 |
| Education |
9 322 |
1 457 |
73 |
694 |
11 546 |
| Humanities and arts |
4 936 |
220 |
579 |
98 |
5 833 |
| Social sciences, business and law |
20 068 |
2 625 |
1 052 |
486 |
24 231 |
| Mathematics, computing and other sciences |
4 421 |
847 |
248 |
211 |
5 727 |
| Engineering, manufacturing and construction |
35 336 |
3 370 |
1 593 |
387 |
40 686 |
| Agriculture and veterinary |
5 371 |
465 |
235 |
– |
6 071 |
| Health and welfare |
7 791 |
100 |
875 |
613 |
9 379 |
| Services |
7 273 |
879 |
194 |
– |
8 346 |
| Participation in formal education |
|
|
|
|
|
| Primary |
320 |
– |
– |
– |
320 |
| Vocational and apprentice school |
1 238 |
147 |
120 |
– |
1 505 |
| Secondary school |
10 124 |
812 |
144 |
191 |
11 271 |
| Higher vocational programme in formal education |
395 |
– |
– |
– |
395 |
| Tertiary education |
8 441 |
732 |
48 |
– |
9 221 |
| PhD, DLA training |
432 |
– |
– |
– |
432 |
| Didn't attend formal education |
108 691 |
11 032 |
5 282 |
2 693 |
127 698 |
| County/region of residence |
|
|
|
|
|
| Central Hungary |
44 082 |
2 261 |
2 583 |
613 |
49 539 |
| Budapest |
26 848 |
1 646 |
1 156 |
613 |
30 263 |
| Pest |
17 235 |
614 |
1 427 |
– |
19 276 |
| Central Transdanubia |
12 411 |
1 651 |
312 |
167 |
14 541 |
| Fejér |
7 960 |
927 |
312 |
– |
9 199 |
| Komárom-Esztergom |
2 858 |
101 |
– |
167 |
3 126 |
| Veszprém |
1 592 |
623 |
– |
– |
2 215 |
| Western Transdanubia |
17 181 |
2 333 |
375 |
512 |
20 401 |
| Győr-Moson-Sopron |
4 297 |
543 |
– |
– |
4 840 |
| Vas |
8 847 |
1 426 |
375 |
297 |
10 945 |
| Zala |
4 037 |
364 |
– |
215 |
4 616 |
| Southern Transdanubia |
12 435 |
2 876 |
1 208 |
447 |
16 966 |
| Baranya |
7 158 |
1 306 |
993 |
227 |
9 684 |
| Somogy |
1 935 |
1 396 |
120 |
– |
3 451 |
| Tolna |
3 343 |
174 |
95 |
220 |
3 832 |
| Northern Hungary |
11 074 |
816 |
99 |
464 |
12 453 |
| Borsod-Abaúj-Zemplén |
5 745 |
510 |
– |
348 |
6 603 |
| Heves |
3 683 |
306 |
99 |
116 |
4 204 |
| Nógrád |
1 646 |
– |
– |
– |
1 646 |
| Northern Great Plain |
17 506 |
1 869 |
687 |
680 |
20 742 |
| Hajdú-Bihar |
7 448 |
1 062 |
339 |
402 |
9 251 |
| Jász-Nagykun-Szolnok |
6 537 |
807 |
– |
– |
7 344 |
| Szabolcs-Szatmár-Bereg |
3 521 |
– |
348 |
278 |
4 147 |
| Southern Great Plain |
14 950 |
915 |
329 |
– |
16 194 |
| Bács-Kiskun |
6 066 |
578 |
– |
– |
6 644 |
| Békés |
5 361 |
338 |
329 |
– |
6 028 |
| Csongrád-Csanád |
3 523 |
– |
– |
– |
3 523 |