9.6.1.4. 15–34 year-old people who worked more than 6 months during the studies for obtaining their highest level of education by the remuneration of the work*

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Denomination The respondent Total The respondent Total
received money income / benefits did not receive money income / benefits received money income / benefits did not receive money income / benefits
persons %
Age group
Total
15–19 6 468 1 531 7 999 80.9 19.1 100.0
20–24 34 122 6 329 40 451 84.4 15.6 100.0
25–29 51 607 14 060 65 667 78.6 21.4 100.0
30–34 50 102 15 331 65 433 76.6 23.4 100.0
Total 142 299 37 251 179 550 79.3 20.7 100.0
Male
15–19 3 462 1 004 4 466 77.5 22.5 100.0
20–24 20 338 3 782 24 120 84.3 15.7 100.0
25–29 32 509 7 418 39 927 81.4 18.6 100.0
30–34 29 782 8 505 38 287 77.8 22.2 100.0
Total 86 091 20 709 106 800 80.6 19.4 100.0
Female
15–19 3 006 527 3 533 85.1 14.9 100.0
20–24 13 784 2 547 16 331 84.4 15.6 100.0
25–29 19 098 6 642 25 740 74.2 25.8 100.0
30–34 20 320 6 827 27 146 74.9 25.1 100.0
Total 56 208 16 542 72 750 77.3 22.7 100.0
Educational attainment
Total
At most 8 grades of primary school 8 298 1 254 9 552 86.9 13.1 100.0
Vocational school, apprentice school 56 894 8 757 65 651 86.7 13.3 100.0
Secondary general school 11 578 2 819 14 397 80.4 19.6 100.0
Secondary vocational school 31 944 10 427 42 371 75.4 24.6 100.0
College, university, PhD, DLA 33 585 13 995 47 580 70.6 29.4 100.0
Total 142 299 37 251 179 550 79.3 20.7 100.0
Male
At most 8 grades of primary school 5 412 948 6 360 85.1 14.9 100.0
Vocational school, apprentice school 39 307 5 499 44 807 87.7 12.3 100.0
Secondary general school 7 706 672 8 378 92.0 8.0 100.0
Secondary vocational school 17 696 5 458 23 154 76.4 23.6 100.0
College, university, PhD, DLA 15 970 8 131 24 101 66.3 33.7 100.0
Total 86 091 20 709 106 800 80.6 19.4 100.0
Female
At most 8 grades of primary school 2 887 306 3 192 90.4 9.6 100.0
Vocational school, apprentice school 17 586 3 258 20 844 84.4 15.6 100.0
Secondary general school 3 872 2 147 6 019 64.3 35.7 100.0
Secondary vocational school 14 248 4 968 19 216 74.1 25.9 100.0
College, university, PhD, DLA 17 615 5 864 23 479 75.0 25.0 100.0
Total 56 208 16 542 72 750 77.3 22.7 100.0
Economic activity
Total
Employed 111 090 29 847 140 937 78.8 21.2 100.0
Unemployed 5 319 1 572 6 891 77.2 22.8 100.0
Inactive 25 890 5 832 31 722 81.6 18.4 100.0
Total 142 299 37 251 179 550 79.3 20.7 100.0
Male
Employed 73 094 18 438 91 532 79.9 20.1 100.0
Unemployed 3 070 456 3 526 87.1 12.9 100.0
Inactive 9 927 1 815 11 742 84.5 15.5 100.0
Total 86 091 20 709 106 800 80.6 19.4 100.0
Female
Employed 37 996 11 409 49 405 76.9 23.1 100.0
Unemployed 2 249 1 116 3 365 66.8 33.2 100.0
Inactive 15 963 4 017 19 980 79.9 20.1 100.0
Total 56 208 16 542 72 750 77.3 22.7 100.0
Region of residence
Total
Central Hungary 36 155 8 340 44 495 81.3 18.7 100.0
Central Transdanubia 17 688 7 974 25 663 68.9 31.1 100.0
Western Transdanubia 16 716 3 047 19 763 84.6 15.4 100.0
Southern Transdanubia 14 261 7 767 22 028 64.7 35.3 100.0
Northern Hungary 19 363 2 544 21 908 88.4 11.6 100.0
Northern Great Plain 19 293 2 741 22 035 87.6 12.4 100.0
Southern Great Plain 18 823 4 837 23 659 79.6 20.4 100.0
Total 142 299 37 251 179 550 79.3 20.7 100.0
Male
Central Hungary 18 333 5 960 24 294 75.5 24.5 100.0
Central Transdanubia 12 765 4 549 17 314 73.7 26.3 100.0
Western Transdanubia 10 764 1 698 12 462 86.4 13.6 100.0
Southern Transdanubia 9 585 3 568 13 153 72.9 27.1 100.0
Northern Hungary 11 646 743 12 389 94.0 6.0 100.0
Northern Great Plain 12 664 1 594 14 258 88.8 11.2 100.0
Southern Great Plain 10 333 2 596 12 929 79.9 20.1 100.0
Total 86 091 20 709 106 800 80.6 19.4 100.0
Female
Central Hungary 17 821 2 379 20 201 88.2 11.8 100.0
Central Transdanubia 4 923 3 426 8 349 59.0 41.0 100.0
Western Transdanubia 5 952 1 349 7 301 81.5 18.5 100.0
Southern Transdanubia 4 676 4 199 8 875 52.7 47.3 100.0
Northern Hungary 7 717 1 801 9 518 81.1 18.9 100.0
Northern Great Plain 6 629 1 147 7 776 85.2 14.8 100.0
Southern Great Plain 8 490 2 240 10 730 79.1 20.9 100.0
Total 56 208 16 542 72 750 77.3 22.7 100.0
The administrative classification of residence
Total
Town 80 488 22 784 103 272 77.9 22.1 100.0
Village 49 154 10 538 59 692 82.3 17.7 100.0
Budapest 12 656 3 929 16 585 76.3 23.7 100.0
Total 142 299 37 251 179 550 79.3 20.7 100.0
Male
Town 50 027 11 340 61 367 81.5 18.5 100.0
Village 31 941 5 855 37 796 84.5 15.5 100.0
Budapest 4 122 3 514 7 636 54.0 46.0 100.0
Total 86 091 20 709 106 800 80.6 19.4 100.0
Female
Town 30 461 11 444 41 905 72.7 27.3 100.0
Village 17 213 4 683 21 896 78.6 21.4 100.0
Budapest 8 534 415 8 949 95.4 4.6 100.0
Total 56 208 16 542 72 750 77.3 22.7 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 2, 2016 

© Hungarian Central Statistical Office, 2011