9.4.3.3. People aged 15–29 doing voluntary work by the usefulness of the voluntary work*(1/2)

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Denomination The voluntary work was useful for the respondent because of Total
getting work experience getting professional knowldge networking another reason The voluntary work was not useful for the respondent
persons
Age group
Total
15–19 33 986 6 385 42 161 1 535 16 567 100 634
20–24 29 741 9 713 33 405 2 736 13 157 88 753
25–29 22 914 10 856 34 452 2 973 10 959 82 153
Total 86 642 26 954 110 019 7 244 40 682 271 541
Male
15–19 14 387 3 395 18 512 552 9 830 46 677
20–24 13 435 4 430 12 911 833 6 158 37 767
25–29 8 431 5 038 15 247 1 919 5 275 35 910
Total 36 253 12 863 46 670 3 304 21 263 120 353
Female
15–19 19 599 2 990 23 650 983 6 736 53 958
20–24 16 307 5 283 20 495 1 903 6 999 50 986
25–29 14 483 5 818 19 204 1 054 5 684 46 244
Total 50 389 14 091 63 349 3 940 19 419 151 188
Educational attainment
Total
At most 8 grades of primary school 31 047 5 624 39 343 1 115 14 925 92 054
Vocational school, apprentice school 5 171 771 7 136 911 2 603 16 593
Secondary general school 26 614 9 343 28 262 1 218 10 342 75 780
Secondary vocational school 9 281 2 589 14 223 1 407 6 184 33 684
College, university, PhD, DLA 14 528 8 626 21 054 2 593 6 628 53 430
Total 86 642 26 954 110 019 7 244 40 682 271 541
Male
At most 8 grades of primary school 13 414 3 088 16 692 132 9 171 42 498
Vocational school, apprentice school 3 256 615 5 060 911 2 202 12 043
Secondary general school 10 057 4 501 10 419 668 4 007 29 653
Secondary vocational school 4 616 1 192 7 792 385 2 870 16 855
College, university, PhD, DLA 4 910 3 468 6 707 1 207 3 013 19 305
Total 36 253 12 863 46 670 3 304 21 263 120 353
Female
At most 8 grades of primary school 17 633 2 536 22 651 983 5 753 49 556
Vocational school, apprentice school 1 916 157 2 076 – 401 4 550
Secondary general school 16 557 4 842 17 843 550 6 335 46 127
Secondary vocational school 4 665 1 398 6 430 1 022 3 314 16 829
College, university, PhD, DLA 9 619 5 158 14 348 1 385 3 615 34 125
Total 50 389 14 091 63 349 3 940 19 419 151 188
Economic activity
Total
employed 29 341 10 981 40 325 3 670 15 514 99 830
unemployed 3 143 652 2 310 745 2 041 8 890
inactive 54 158 15 322 67 384 2 830 23 128 162 821
Total 86 642 26 954 110 019 7 244 40 682 271 541
Male
employed 13 122 5 180 18 685 1 794 8 391 47 171
unemployed 1 602 350 789 346 986 4 073
inactive 21 529 7 333 27 196 1 164 11 887 69 109
Total 36 253 12 863 46 670 3 304 21 263 120 353
Female
employed 16 219 5 800 21 640 1 876 7 123 52 659
unemployed 1 542 302 1 521 398 1 055 4 817
inactive 32 629 7 988 40 188 1 666 11 241 93 712
Total 50 389 14 091 63 349 3 940 19 419 151 188
County and region of residence
Total
Central Hungary 17 328 7 240 22 219 3 310 12 469 62 565
Budapest 8 607 5 234 10 987 3 159 9 200 37 186
Pest 8 721 2 005 11 231 152 3 269 25 379
Central Transdanubia 9 805 1 637 9 384 260 4 741 25 828
Fejér 5 578 1 180 4 865 – 1 402 13 025
Komárom-Esztergom 2 030 63 3 322 150 3 117 8 683
Veszprém 2 197 394 1 198 110 223 4 121
Western Transdanubia 11 452 2 548 7 864 508 2 991 25 363
Győr-Moson-Sopron 4 203 1 387 3 686 – 1 043 10 318
Vas 4 096 492 3 400 508 1 427 9 922
Zala 3 154 669 779 – 521 5 122
Southern Transdanubia 9 654 2 353 17 352 – 3 149 32 507
Baranya 5 352 1 098 10 637 – 1 662 18 749
Somogy 2 737 812 3 901 – 1 099 8 550
Tolna 1 565 443 2 813 – 387 5 208
Northern Hungary 15 138 3 394 15 503 998 4 987 40 019
Borsod-Abaúj-Zemplén 9 693 1 714 8 977 998 2 632 24 014
Heves 4 304 776 3 007 – 1 957 10 045
Nógrád 1 140 904 3 519 – 398 5 961
Northern Great Plain 15 222 6 903 19 841 1 097 7 285 50 349
Hajdú-Bihar 5 561 3 167 4 119 549 1 562 14 959
Jász-Nagykun-Szolnok 5 811 2 426 7 012 548 2 780 18 577
Szabolcs-Szatmár-Bereg 3 850 1 311 8 710 – 2 942 16 813
Southern Great Plain 8 042 2 880 17 856 1 072 5 061 34 911
Bács-Kiskun 2 877 895 8 737 303 1 687 14 500
Békés 2 445 163 3 272 284 2 001 8 165
Csongrád-Csanád 2 720 1 822 5 847 484 1 373 12 247
Total 86 642 26 954 110 019 7 244 40 682 271 541
Male
Central Hungary 7 715 3 722 6 899 1 787 6 949 27 072
Budapest 3 154 2 781 2 567 1 787 5 266 15 555
Pest 4 561 940 4 333 – 1 683 11 517
Central Transdanubia 3 800 869 3 486 260 3 428 11 844
Fejér 2 466 778 1 886 – 1 046 6 176
Komárom-Esztergom 664 – 1 160 150 2 160 4 134
Veszprém 670 91 441 110 223 1 534
Western Transdanubia 4 584 1 556 3 594 219 1 900 11 854
Győr-Moson-Sopron 984 654 2 493 – 859 4 991
Vas 1 881 401 1 101 219 519 4 122
Zala 1 720 500 – – 521 2 741
Southern Transdanubia 4 315 971 7 690 – 1 229 14 206
Baranya 2 249 725 4 781 – 606 8 360
Somogy 1 119 247 1 920 – 422 3 708
Tolna 947 – 989 – 202 2 137
Northern Hungary 6 531 1 242 6 602 216 2 883 17 474
Borsod-Abaúj-Zemplén 3 991 423 3 985 216 1 256 9 871
Heves 1 861 159 1 220 – 1 428 4 668
Nógrád 680 659 1 397 – 199 2 935
Northern Great Plain 5 928 3 641 9 654 108 3 394 22 724
Hajdú-Bihar 2 134 1 415 1 933 108 691 6 281
Jász-Nagykun-Szolnok 1 967 1 676 3 619 – 1 919 9 182
Szabolcs-Szatmár-Bereg 1 827 549 4 101 – 784 7 261
Southern Great Plain 3 379 864 8 744 714 1 479 15 180
Bács-Kiskun 1 711 389 4 243 237 191 6 771
Békés 1 154 – 1 702 97 1 126 4 078
Csongrád-Csanád 514 475 2 800 380 162 4 331
Total 36 253 12 863 46 670 3 304 21 263 120 353
Female
Central Hungary 9 613 3 518 15 319 1 523 5 519 35 493
Budapest 5 453 2 453 8 420 1 371 3 933 21 631
Pest 4 160 1 065 6 899 152 1 586 13 861
Central Transdanubia 6 005 768 5 898 – 1 313 13 984
Fejér 3 112 402 2 979 – 356 6 849
Komárom-Esztergom 1 366 63 2 162 – 957 4 548
Veszprém 1 527 303 757 – – 2 587
Western Transdanubia 6 868 992 4 270 288 1 091 13 509
Győr-Moson-Sopron 3 219 733 1 192 – 183 5 327
Vas 2 215 90 2 299 288 908 5 800
Zala 1 434 169 779 – – 2 381
Southern Transdanubia 5 338 1 381 9 662 – 1 919 18 301
Baranya 3 103 374 5 857 – 1 056 10 389
Somogy 1 618 565 1 981 – 678 4 841
Tolna 618 443 1 825 – 185 3 071
Northern Hungary 8 607 2 152 8 901 781 2 104 22 545
Borsod-Abaúj-Zemplén 5 703 1 291 4 992 781 1 376 14 142
Heves 2 443 617 1 787 – 529 5 377
Nógrád 461 245 2 122 – 199 3 026
Northern Great Plain 9 294 3 262 10 187 990 3 891 27 625
Hajdú-Bihar 3 427 1 751 2 186 442 871 8 678
Jász-Nagykun-Szolnok 3 844 749 3 393 548 861 9 395
Szabolcs-Szatmár-Bereg 2 023 762 4 608 – 2 159 9 552
Southern Great Plain 4 663 2 017 9 112 358 3 582 19 731
Bács-Kiskun 1 165 506 4 495 66 1 496 7 729
Békés 1 291 163 1 570 187 874 4 086
Csongrád-Csanád 2 206 1 347 3 047 104 1 211 7 916
Total 50 389 14 091 63 349 3 940 19 419 151 188
The administrative classification of residence
Total
town 8 607 5 234 10 987 3 159 9 200 37 186
village 30 057 7 057 39 608 1 349 15 161 93 231
Budapest 47 978 14 663 59 423 2 737 16 322 141 124
Total 86 642 26 954 110 019 7 244 40 682 271 541
Male
town 3 154 2 781 2 567 1 787 5 266 15 555
village 14 803 3 455 16 521 688 8 794 44 260
Budapest 18 296 6 628 27 582 829 7 203 60 539
Total 36 253 12 863 46 670 3 304 21 263 120 353
Female
town 5 453 2 453 8 420 1 371 3 933 21 631
village 15 254 3 602 23 087 662 6 367 48 971
Budapest 29 682 8 036 31 842 1 907 9 119 80 585
Total 50 389 14 091 63 349 3 940 19 419 151 188
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011