Total |
2 121 208 |
196 435 |
68 100 |
2 385 742 |
Sex |
|
|
|
|
Male |
964 764 |
87 746 |
35 141 |
1 087 651 |
Female |
1 156 444 |
108 689 |
32 959 |
1 298 091 |
Age groups |
|
|
|
|
15–19 |
70 337 |
94 825 |
11 749 |
176 910 |
20–24 |
121 439 |
15 883 |
4 920 |
142 241 |
25–29 |
146 354 |
6 925 |
1 998 |
155 276 |
30–34 |
157 143 |
7 861 |
5 656 |
170 661 |
35–39 |
195 515 |
6 699 |
5 017 |
207 231 |
40–44 |
239 757 |
12 794 |
7 229 |
259 780 |
45–49 |
222 383 |
12 512 |
6 660 |
241 555 |
50–54 |
212 955 |
12 809 |
6 865 |
232 630 |
55–59 |
187 207 |
8 177 |
3 693 |
199 076 |
60–64 |
236 100 |
7 011 |
5 460 |
248 571 |
65–69 |
208 533 |
5 875 |
5 155 |
219 562 |
70–74 |
123 485 |
5 064 |
3 699 |
132 248 |
Highest level of education |
|
|
|
|
Less than 8 grades of primary school |
16 790 |
2 075 |
84 |
18 949 |
Primary school |
343 831 |
92 055 |
12 310 |
448 195 |
Vocational and apprentice school |
578 652 |
16 686 |
10 330 |
605 668 |
Secondary general school |
253 965 |
23 896 |
10 861 |
288 721 |
Secondary vocational school |
439 656 |
23 484 |
10 349 |
473 490 |
Tertiary education |
488 313 |
38 239 |
24 166 |
550 719 |
Type of settlement |
|
|
|
|
Village |
804 378 |
66 186 |
24 952 |
895 517 |
Town |
1 044 063 |
89 103 |
32 560 |
1 165 726 |
Budapest |
272 767 |
41 145 |
10 588 |
324 500 |
Economic activity |
|
|
|
|
Employed |
1 338 471 |
70 318 |
40 788 |
1 449 577 |
Unemployed |
52 616 |
1 656 |
992 |
55 264 |
Economically inactive |
730 122 |
124 460 |
26 320 |
880 901 |
Marital status |
|
|
|
|
Single |
608 412 |
133 026 |
27 016 |
768 455 |
Married |
1 128 449 |
49 975 |
31 440 |
1 209 863 |
Widowed, divorced or legally separated |
384 347 |
13 434 |
9 643 |
407 424 |
Status in the family |
|
|
|
|
Single |
303 011 |
14 501 |
7 695 |
325 207 |
Not single |
1 818 197 |
181 933 |
60 405 |
2 060 535 |
Of which: |
|
|
|
|
husband |
507 844 |
21 370 |
15 303 |
544 518 |
wife |
594 636 |
26 785 |
14 988 |
636 408 |
cohabitant |
287 125 |
8 998 |
8 111 |
304 233 |
single parent |
124 565 |
6 623 |
3 216 |
134 403 |
child |
241 283 |
114 716 |
16 621 |
372 621 |
other |
62 744 |
3 441 |
2 166 |
68 352 |
Type of household – by activity |
|
|
|
|
There is at least one employed person in the household |
1 693 086 |
181 237 |
60 670 |
1 934 993 |
All members of the household aged 15–74 are unemployed |
8 502 |
623 |
54 |
9 179 |
All are economically inactive |
19 556 |
1 125 |
247 |
20 928 |
All are unemployed or economically inactive |
400 064 |
13 449 |
7 129 |
420 642 |
Number of children under age 19 in the household |
|
|
|
|
no children under age 19 |
1 386 581 |
71 692 |
37 927 |
1 496 201 |
1 child under age 19 |
392 588 |
60 816 |
15 295 |
468 699 |
2 children under age 19 |
249 983 |
43 463 |
10 048 |
303 494 |
3 or more children under age 19 |
92 056 |
20 464 |
4 829 |
117 348 |
Area of education |
|
|
|
|
General programmes |
614 392 |
118 026 |
23 254 |
755 672 |
Education |
134 553 |
11 205 |
8 267 |
154 025 |
Humanities and arts |
38 498 |
4 907 |
2 922 |
46 327 |
Social sciences, journalism and other information services |
96 397 |
7 995 |
3 673 |
108 065 |
Business, administration and law |
255 325 |
11 062 |
5 418 |
271 805 |
Natural sciences, mathematics and statistics |
15 074 |
2 179 |
246 |
17 499 |
Information and communication technologies |
34 667 |
2 249 |
1 337 |
38 253 |
Engineering, manufacturing and construction |
644 207 |
22 307 |
14 846 |
681 360 |
Agriculture and veterinary |
64 823 |
4 860 |
2 174 |
71 857 |
Health and welfare |
111 918 |
5 107 |
3 260 |
120 285 |
Services |
111 355 |
6 537 |
2 704 |
120 596 |
Participation in formal education |
|
|
|
|
Primary |
3 728 |
1 763 |
– |
5 491 |
Vocational and apprentice school |
18 776 |
26 843 |
3 297 |
48 916 |
Secondary school |
42 412 |
65 433 |
8 820 |
116 665 |
Higher vocational programme in formal education |
5 518 |
434 |
226 |
6 177 |
Tertiary education |
56 029 |
12 626 |
4 130 |
72 785 |
PhD, DLA training |
506 |
305 |
– |
811 |
Didn't attend formal education |
1 994 240 |
89 031 |
51 626 |
2 134 897 |
County/region of residence |
|
|
|
|
Central Hungary |
529 950 |
75 741 |
19 085 |
624 777 |
Budapest |
272 767 |
41 145 |
10 588 |
324 500 |
Pest |
257 184 |
34 596 |
8 497 |
300 277 |
Central Transdanubia |
246 767 |
19 731 |
5 410 |
271 908 |
Fejér |
88 080 |
8 733 |
1 884 |
98 697 |
Komárom-Esztergom |
55 915 |
7 125 |
1 113 |
64 153 |
Veszprém |
102 772 |
3 872 |
2 413 |
109 058 |
Western Transdanubia |
171 748 |
20 135 |
6 961 |
198 844 |
Győr-Moson-Sopron |
51 464 |
8 811 |
2 231 |
62 505 |
Vas |
53 425 |
5 962 |
2 884 |
62 271 |
Zala |
66 858 |
5 362 |
1 847 |
74 067 |
Southern Transdanubia |
175 950 |
18 589 |
11 474 |
206 013 |
Baranya |
66 752 |
11 431 |
5 922 |
84 105 |
Somogy |
43 874 |
5 196 |
4 548 |
53 618 |
Tolna |
65 324 |
1 962 |
1 003 |
68 289 |
Northern Hungary |
304 731 |
15 856 |
9 582 |
330 169 |
Borsod-Abaúj-Zemplén |
157 901 |
10 531 |
6 185 |
174 617 |
Heves |
85 747 |
2 137 |
1 687 |
89 571 |
Nógrád |
61 083 |
3 189 |
1 709 |
65 980 |
Northern Great Plain |
426 640 |
23 442 |
9 234 |
459 316 |
Hajdú-Bihar |
110 938 |
6 476 |
4 661 |
122 075 |
Jász-Nagykun-Szolnok |
159 234 |
5 672 |
1 678 |
166 584 |
Szabolcs-Szatmár-Bereg |
156 468 |
11 294 |
2 895 |
170 656 |
Southern Great Plain |
265 422 |
22 940 |
6 355 |
294 716 |
Bács-Kiskun |
130 933 |
6 293 |
2 999 |
140 225 |
Békés |
54 700 |
11 481 |
2 704 |
68 884 |
Csongrád-Csanád |
79 789 |
5 167 |
652 |
85 607 |