9.4.3.1. People aged 15–29 by voluntary work*

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Denomination The respondent Total The respondent Total
has already done voluntary work has never done voluntary work has already done voluntary work has never done voluntary work
persons %
Age group
Total
15–19 100 634 385 338 485 972 20.7 79.3 100.0
20–24 88 753 498 703 587 456 15.1 84.9 100.0
25–29 82 153 505 880 588 034 14.0 86.0 100.0
Total 271 541 1 389 921 1 661 462 16.3 83.7 100.0
Male
15–19 46 677 202 259 248 936 18.8 81.2 100.0
20–24 37 767 261 299 299 066 12.6 87.4 100.0
25–29 35 910 263 506 299 416 12.0 88.0 100.0
Total 120 353 727 064 847 418 14.2 85.8 100.0
Female
15–19 53 957 183 079 237 036 22.8 77.2 100.0
20–24 50 986 237 404 288 390 17.7 82.3 100.0
25–29 46 244 242 374 288 618 16.0 84.0 100.0
Total 151 188 662 857 814 044 18.6 81.4 100.0
Educational attainment
Total
At most 8 grades of primary school 92 054 496 835 588 889 15.6 84.4 100.0
Vocational school, apprentice school 16 593 190 855 207 448 8.0 92.0 100.0
Secondary general school 75 780 327 751 403 531 18.8 81.2 100.0
Secondary vocational school 33 684 205 314 238 998 14.1 85.9 100.0
College, university, PhD, DLA 53 430 169 167 222 597 24.0 76.0 100.0
Total 271 541 1 389 921 1 661 462 16.3 83.7 100.0
Male
At most 8 grades of primary school 42 498 258 904 301 402 14.1 85.9 100.0
Vocational school, apprentice school 12 043 126 400 138 443 8.7 91.3 100.0
Secondary general school 29 653 155 194 184 847 16.0 84.0 100.0
Secondary vocational school 16 855 116 515 133 370 12.6 87.4 100.0
College, university, PhD, DLA 19 305 70 051 89 356 21.6 78.4 100.0
Total 120 353 727 064 847 418 14.2 85.8 100.0
Female
At most 8 grades of primary school 49 556 237 931 287 487 17.2 82.8 100.0
Vocational school, apprentice school 4 550 64 455 69 005 6.6 93.4 100.0
Secondary general school 46 127 172 556 218 683 21.1 78.9 100.0
Secondary vocational school 16 829 88 799 105 628 15.9 84.1 100.0
College, university, PhD, DLA 34 125 99 116 133 241 25.6 74.4 100.0
Total 151 188 662 857 814 044 18.6 81.4 100.0
Economic activity
Total
employed 99 830 620 892 720 722 13.9 86.1 100.0
unemployed 8 890 80 582 89 472 9.9 90.1 100.0
inactive 162 821 688 447 851 268 19.1 80.9 100.0
Total 271 541 1 389 921 1 661 462 16.3 83.7 100.0
Male
employed 47 171 365 538 412 710 11.4 88.6 100.0
unemployed 4 073 47 902 51 975 7.8 92.2 100.0
inactive 69 109 313 624 382 734 18.1 81.9 100.0
Total 120 353 727 064 847 418 14.2 85.8 100.0
Female
employed 52 659 255 354 308 012 17.1 82.9 100.0
unemployed 4 817 32 680 37 498 12.8 87.2 100.0
inactive 93 712 374 823 468 534 20.0 80.0 100.0
Total 151 188 662 857 814 044 18.6 81.4 100.0
County and region of residence
Total
Central Hungary 62 565 413 225 475 790 13.1 86.9 100.0
Budapest 37 186 233 445 270 631 13.7 86.3 100.0
Pest 25 379 179 780 205 159 12.4 87.6 100.0
Central Transdanubia 25 828 154 433 180 261 14.3 85.7 100.0
Fejér 13 025 57 856 70 880 18.4 81.6 100.0
Komárom-Esztergom 8 683 43 199 51 882 16.7 83.3 100.0
Veszprém 4 121 53 378 57 499 7.2 92.8 100.0
Western Transdanubia 25 363 134 840 160 203 15.8 84.2 100.0
Győr-Moson-Sopron 10 318 65 755 76 073 13.6 86.4 100.0
Vas 9 922 31 782 41 704 23.8 76.2 100.0
Zala 5 122 37 304 42 426 12.1 87.9 100.0
Southern Transdanubia 32 507 113 730 146 237 22.2 77.8 100.0
Baranya 18 749 42 305 61 055 30.7 69.3 100.0
Somogy 8 550 40 383 48 933 17.5 82.5 100.0
Tolna 5 208 31 041 36 249 14.4 85.6 100.0
Northern Hungary 40 019 165 406 205 425 19.5 80.5 100.0
Borsod-Abaúj-Zemplén 24 014 99 352 123 366 19.5 80.5 100.0
Heves 10 045 38 422 48 467 20.7 79.3 100.0
Nógrád 5 961 27 632 33 593 17.7 82.3 100.0
Northern Great Plain 50 349 225 610 275 958 18.2 81.8 100.0
Hajdú-Bihar 14 959 86 035 100 993 14.8 85.2 100.0
Jász-Nagykun-Szolnok 18 577 45 428 64 005 29.0 71.0 100.0
Szabolcs-Szatmár-Bereg 16 813 94 147 110 960 15.2 84.8 100.0
Southern Great Plain 34 911 182 678 217 589 16.0 84.0 100.0
Bács-Kiskun 14 500 74 318 88 817 16.3 83.7 100.0
Békés 8 165 50 133 58 298 14.0 86.0 100.0
Csongrád-Csanád 12 247 58 227 70 474 17.4 82.6 100.0
Total 271 541 1 389 921 1 661 462 16.3 83.7 100.0
Male
Central Hungary 27 072 209 114 236 186 11.5 88.5 100.0
Budapest 15 555 116 075 131 629 11.8 88.2 100.0
Pest 11 517 93 039 104 556 11.0 89.0 100.0
Central Transdanubia 11 844 81 327 93 171 12.7 87.3 100.0
Fejér 6 176 30 159 36 334 17.0 83.0 100.0
Komárom-Esztergom 4 134 22 702 26 836 15.4 84.6 100.0
Veszprém 1 534 28 467 30 001 5.1 94.9 100.0
Western Transdanubia 11 854 70 808 82 662 14.3 85.7 100.0
Győr-Moson-Sopron 4 991 33 999 38 989 12.8 87.2 100.0
Vas 4 122 17 215 21 337 19.3 80.7 100.0
Zala 2 741 19 594 22 335 12.3 87.7 100.0
Southern Transdanubia 14 206 61 179 75 386 18.8 81.2 100.0
Baranya 8 360 23 246 31 607 26.5 73.5 100.0
Somogy 3 708 21 090 24 799 15.0 85.0 100.0
Tolna 2 137 16 843 18 980 11.3 88.7 100.0
Northern Hungary 17 474 88 529 106 003 16.5 83.5 100.0
Borsod-Abaúj-Zemplén 9 871 53 873 63 745 15.5 84.5 100.0
Heves 4 668 20 207 24 875 18.8 81.2 100.0
Nógrád 2 935 14 449 17 383 16.9 83.1 100.0
Northern Great Plain 22 724 119 339 142 063 16.0 84.0 100.0
Hajdú-Bihar 6 281 45 574 51 855 12.1 87.9 100.0
Jász-Nagykun-Szolnok 9 182 23 828 33 010 27.8 72.2 100.0
Szabolcs-Szatmár-Bereg 7 261 49 936 57 198 12.7 87.3 100.0
Southern Great Plain 15 180 96 767 111 947 13.6 86.4 100.0
Bács-Kiskun 6 771 39 090 45 861 14.8 85.2 100.0
Békés 4 078 26 106 30 184 13.5 86.5 100.0
Csongrád-Csanád 4 331 31 571 35 902 12.1 87.9 100.0
Total 120 353 727 064 847 418 14.2 85.8 100.0
Female
Central Hungary 35 493 204 111 239 604 14.8 85.2 100.0
Budapest 21 631 117 370 139 002 15.6 84.4 100.0
Pest 13 861 86 741 100 602 13.8 86.2 100.0
Central Transdanubia 13 984 73 106 87 090 16.1 83.9 100.0
Fejér 6 849 27 697 34 546 19.8 80.2 100.0
Komárom-Esztergom 4 548 20 498 25 046 18.2 81.8 100.0
Veszprém 2 587 24 911 27 498 9.4 90.6 100.0
Western Transdanubia 13 509 64 032 77 541 17.4 82.6 100.0
Győr-Moson-Sopron 5 327 31 756 37 084 14.4 85.6 100.0
Vas 5 800 14 566 20 367 28.5 71.5 100.0
Zala 2 381 17 709 20 091 11.9 88.1 100.0
Southern Transdanubia 18 301 52 550 70 851 25.8 74.2 100.0
Baranya 10 389 19 059 29 448 35.3 64.7 100.0
Somogy 4 841 19 293 24 134 20.1 79.9 100.0
Tolna 3 071 14 198 17 269 17.8 82.2 100.0
Northern Hungary 22 545 76 877 99 422 22.7 77.3 100.0
Borsod-Abaúj-Zemplén 14 142 45 479 59 621 23.7 76.3 100.0
Heves 5 377 18 215 23 591 22.8 77.2 100.0
Nógrád 3 026 13 183 16 210 18.7 81.3 100.0
Northern Great Plain 27 625 106 270 133 895 20.6 79.4 100.0
Hajdú-Bihar 8 678 40 461 49 138 17.7 82.3 100.0
Jász-Nagykun-Szolnok 9 395 21 600 30 995 30.3 69.7 100.0
Szabolcs-Szatmár-Bereg 9 552 44 210 53 762 17.8 82.2 100.0
Southern Great Plain 19 731 85 910 105 642 18.7 81.3 100.0
Bács-Kiskun 7 729 35 227 42 956 18.0 82.0 100.0
Békés 4 086 24 028 28 114 14.5 85.5 100.0
Csongrád-Csanád 7 916 26 655 34 571 22.9 77.1 100.0
Total 151 188 662 857 814 044 18.6 81.4 100.0
The administrative classification of residence
Total
town 37 186 233 445 270 631 13.7 86.3 100.0
village 93 231 511 270 604 501 15.4 84.6 100.0
Budapest 141 124 645 206 786 329 17.9 82.1 100.0
Total 271 541 1 389 921 1 661 462 16.3 83.7 100.0
Male
town 15 555 116 075 131 629 11.8 88.2 100.0
village 44 260 272 414 316 674 14.0 86.0 100.0
Budapest 60 539 338 575 399 114 15.2 84.8 100.0
Total 120 353 727 064 847 418 14.2 85.8 100.0
Female
town 21 631 117 370 139 002 15.6 84.4 100.0
village 48 971 238 856 287 827 17.0 83.0 100.0
Budapest 80 585 306 630 387 215 20.8 79.2 100.0
Total 151 188 662 857 814 044 18.6 81.4 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011