9.6.1.2. 15–34 year-old people working during the studies for obtaining their highest level of education by the relationship of the work to the curriculum*(1/2)

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Denomination The work / some of the works was / were Total
mandatory part of the curriculum not mandatory part of the curriculom partly mandatory, partly non-mandatory part of the curriculum not part of the curriculum
persons
Age group
Total
15–19 72 153 2 220 7 928 35 020 117 320
20–24 249 921 9 105 29 407 63 155 351 587
25–29 327 912 10 135 38 151 60 858 437 055
30–34 333 363 13 914 38 145 69 085 454 506
Total 983 349 35 373 113 631 228 117 1 360 469
Male
15–19 41 656 936 3 441 17 473 63 506
20–24 135 608 3 591 17 451 30 224 186 875
25–29 176 096 5 086 19 668 29 604 230 454
30–34 176 008 6 252 20 991 33 159 236 410
Total 529 368 15 866 61 551 110 459 717 244
Female
15–19 30 496 1 284 4 487 17 547 53 815
20–24 114 313 5 513 11 956 32 930 164 712
25–29 151 815 5 049 18 483 31 254 206 601
30–34 157 356 7 662 17 154 35 926 218 097
Total 453 980 19 508 52 079 117 657 643 225
Educational attainment
Total
At most 8 grades of primary school 72 250 1 664 8 244 43 042 125 200
Vocational school, apprentice school 286 760 4 429 15 343 15 674 322 206
Secondary general school 86 461 8 247 20 072 77 214 191 994
Secondary vocational school 262 349 6 071 24 406 37 501 330 327
College, university, PhD, DLA 275 529 14 962 45 566 54 686 390 743
Total 983 349 35 373 113 631 228 117 1 360 469
Male
At most 8 grades of primary school 42 458 545 3 719 22 737 69 459
Vocational school, apprentice school 189 568 1 827 9 063 11 182 211 639
Secondary general school 42 527 3 149 12 677 35 928 94 280
Secondary vocational school 145 899 3 413 14 835 20 461 184 608
College, university, PhD, DLA 108 917 6 932 21 258 20 152 157 258
Total 529 368 15 866 61 551 110 459 717 244
Female
At most 8 grades of primary school 29 792 1 118 4 525 20 305 55 741
Vocational school, apprentice school 97 192 2 602 6 280 4 492 110 567
Secondary general school 43 934 5 098 7 395 41 287 97 714
Secondary vocational school 116 450 2 659 9 571 17 039 145 719
College, university, PhD, DLA 166 612 8 030 24 308 34 534 233 484
Total 453 980 19 508 52 079 117 657 643 225
Economic activity
Total
Employed 681 298 24 621 79 630 141 757 927 305
Unemployed 45 073 406 2 165 7 479 55 123
Inactive 256 977 10 347 31 836 78 881 378 041
Total 983 349 35 373 113 631 228 117 1 360 469
Male
Employed 409 093 12 242 48 945 74 123 544 402
Unemployed 26 418 – 743 3 865 31 025
Inactive 93 858 3 624 11 864 32 471 141 817
Total 529 368 15 866 61 551 110 459 717 244
Female
Employed 272 205 12 379 30 685 67 633 382 903
Unemployed 18 656 406 1 422 3 615 24 098
Inactive 163 119 6 723 19 973 46 410 236 224
Total 453 980 19 508 52 079 117 657 643 225
County and region of residence
Total
Central Hungary 250 485 16 802 60 580 107 414 435 281
Budapest 155 933 8 968 26 689 79 131 270 721
Pest 94 553 7 833 33 891 28 283 164 560
Central Transdanubia 113 467 1 686 14 664 23 481 153 298
Fejér 40 923 1 238 9 406 9 723 61 290
Komárom-Esztergom 33 040 153 5 202 7 975 46 370
Veszprém 39 504 295 56 5 783 45 638
Western Transdanubia 108 968 1 612 6 447 22 303 139 329
Győr-Moson-Sopron 48 574 996 4 609 11 653 65 831
Vas 31 840 447 337 5 452 38 076
Zala 28 554 169 1 501 5 198 35 422
Southern Transdanubia 92 135 3 763 5 272 17 853 119 023
Baranya 32 940 2 880 2 091 10 406 48 317
Somogy 31 200 – 2 472 3 929 37 601
Tolna 27 995 883 708 3 519 33 105
Northern Hungary 123 841 1 320 8 859 13 675 147 695
Borsod-Abaúj-Zemplén 71 644 681 5 004 7 075 84 405
Heves 33 877 490 525 4 493 39 385
Nógrád 18 320 149 3 330 2 106 23 905
Northern Great Plain 164 286 3 691 7 604 19 039 194 619
Hajdú-Bihar 59 583 821 4 335 7 630 72 369
Jász-Nagykun-Szolnok 44 017 336 1 524 4 927 50 804
Szabolcs-Szatmár-Bereg 60 686 2 534 1 745 6 482 71 447
Southern Great Plain 130 167 6 501 10 205 24 351 171 224
Bács-Kiskun 49 310 1 528 6 349 12 841 70 028
Békés 31 148 3 424 1 920 7 476 43 968
Csongrád-Csanád 49 709 1 550 1 936 4 034 57 228
Total 983 349 35 373 113 631 228 117 1 360 469
Male
Central Hungary 127 317 8 525 32 796 52 242 220 880
Budapest 76 113 3 873 15 088 37 495 132 569
Pest 51 204 4 652 17 707 14 747 88 310
Central Transdanubia 62 923 713 8 157 12 236 84 030
Fejér 20 852 560 4 857 5 659 31 928
Komárom-Esztergom 18 400 153 3 300 3 823 25 676
Veszprém 23 671 – – 2 755 26 426
Western Transdanubia 63 521 501 4 206 8 740 76 968
Győr-Moson-Sopron 29 141 359 3 213 4 558 37 272
Vas 17 119 142 337 1 714 19 312
Zala 17 260 – 655 2 468 20 384
Southern Transdanubia 48 353 1 328 2 978 7 483 60 142
Baranya 16 701 981 1 085 4 167 22 934
Somogy 16 091 – 1 616 1 905 19 612
Tolna 15 561 347 277 1 410 17 595
Northern Hungary 68 106 700 4 199 6 980 79 986
Borsod-Abaúj-Zemplén 39 528 410 2 391 3 334 45 663
Heves 18 037 140 296 2 810 21 283
Nógrád 10 542 149 1 512 836 13 040
Northern Great Plain 88 231 2 009 3 904 10 543 104 687
Hajdú-Bihar 31 695 239 1 923 3 424 37 280
Jász-Nagykun-Szolnok 22 944 99 910 3 480 27 433
Szabolcs-Szatmár-Bereg 33 592 1 670 1 071 3 640 39 973
Southern Great Plain 70 917 2 090 5 312 12 235 90 553
Bács-Kiskun 26 951 512 3 208 5 833 36 504
Békés 17 664 1 093 826 4 535 24 119
Csongrád-Csanád 26 301 485 1 278 1 867 29 930
Total 529 368 15 866 61 551 110 459 717 244
Female
Central Hungary 123 169 8 276 27 784 55 172 214 402
Budapest 79 820 5 095 11 601 41 636 138 152
Pest 43 349 3 181 16 183 13 536 76 250
Central Transdanubia 50 544 972 6 507 11 245 69 268
Fejér 20 070 677 4 549 4 065 29 361
Komárom-Esztergom 14 641 – 1 902 4 152 20 694
Veszprém 15 833 295 56 3 028 19 212
Western Transdanubia 45 447 1 110 2 241 13 562 62 361
Győr-Moson-Sopron 19 432 636 1 396 7 094 28 559
Vas 14 721 305 – 3 738 18 764
Zala 11 294 169 845 2 730 15 038
Southern Transdanubia 43 781 2 435 2 294 10 371 58 881
Baranya 16 238 1 899 1 006 6 239 25 382
Somogy 15 109 – 856 2 024 17 989
Tolna 12 434 536 431 2 108 15 510
Northern Hungary 55 735 620 4 660 6 695 67 710
Borsod-Abaúj-Zemplén 32 116 270 2 614 3 741 38 742
Heves 15 840 349 229 1 683 18 102
Nógrád 7 778 – 1 818 1 270 10 866
Northern Great Plain 76 055 1 682 3 699 8 496 89 932
Hajdú-Bihar 27 888 582 2 412 4 207 35 088
Jász-Nagykun-Szolnok 21 072 237 614 1 447 23 371
Szabolcs-Szatmár-Bereg 27 094 863 674 2 843 31 474
Southern Great Plain 59 250 4 412 4 893 12 116 80 671
Bács-Kiskun 22 359 1 016 3 141 7 008 33 524
Békés 13 483 2 331 1 094 2 941 19 849
Csongrád-Csanád 23 408 1 065 658 2 168 27 298
Total 453 980 19 508 52 079 117 657 643 225
The administrative classification of residence
Total
Town 481 261 17 847 50 043 98 793 647 945
Village 346 155 8 558 36 899 50 192 441 804
Budapest 155 933 8 968 26 689 79 131 270 721
Total 983 349 35 373 113 631 228 117 1 360 469
Male
Town 261 445 8 395 27 392 48 371 345 603
Village 191 811 3 597 19 071 24 593 239 072
Budapest 76 113 3 873 15 088 37 495 132 569
Total 529 368 15 866 61 551 110 459 717 244
Female
Town 219 816 9 452 22 651 50 422 302 341
Village 154 344 4 961 17 827 25 599 202 732
Budapest 79 820 5 095 11 601 41 636 138 152
Total 453 980 19 508 52 079 117 657 643 225
*Source: Labour Force Survey, supplementary questionnaire Quarter 2, 2016 

© Hungarian Central Statistical Office, 2011