9.6.1.3. People aged 15–34 by the length of the mandatory work related to the curriculum*

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Denomination The lenght of the mandatory work, which was made by the respondent related to his / her studies was Total The lenght of the mandatory work, which was made by the respondent related to his / her studies was Total
at least 6 months long was less than 6 months long at least 6 months long was less than 6 months long
persons %
Age group
Total
15–19 18 254 61 827 80 081 22.8 77.2 100.0
20–24 95 188 184 140 279 328 34.1 65.9 100.0
25–29 136 053 230 009 366 062 37.2 62.8 100.0
30–34 140 710 230 798 371 508 37.9 62.1 100.0
Total 390 205 706 774 1 096 979 35.6 64.4 100.0
Male
15–19 12 030 33 067 45 097 26.7 73.3 100.0
20–24 54 886 98 174 153 059 35.9 64.1 100.0
25–29 84 691 111 073 195 764 43.3 56.7 100.0
30–34 79 486 117 513 196 999 40.3 59.7 100.0
Total 231 093 359 827 590 920 39.1 60.9 100.0
Female
15–19 6 223 28 760 34 984 17.8 82.2 100.0
20–24 40 302 85 967 126 269 31.9 68.1 100.0
25–29 51 363 118 935 170 298 30.2 69.8 100.0
30–34 61 224 113 285 174 509 35.1 64.9 100.0
Total 159 112 346 948 506 060 31.4 68.6 100.0
Educational attainment
Total
At most 8 grades of primary school 16 773 63 721 80 494 20.8 79.2 100.0
Vocational school, apprentice school 151 242 150 861 302 103 50.1 49.9 100.0
Secondary general school 25 910 80 623 106 533 24.3 75.7 100.0
Secondary vocational school 105 074 181 681 286 755 36.6 63.4 100.0
College, university, PhD, DLA 91 206 229 889 321 095 28.4 71.6 100.0
Total 390 205 706 774 1 096 979 35.6 64.4 100.0
Male
At most 8 grades of primary school 10 850 35 326 46 177 23.5 76.5 100.0
Vocational school, apprentice school 102 547 96 084 198 631 51.6 48.4 100.0
Secondary general school 14 136 41 067 55 204 25.6 74.4 100.0
Secondary vocational school 61 109 99 625 160 734 38.0 62.0 100.0
College, university, PhD, DLA 42 449 87 725 130 175 32.6 67.4 100.0
Total 231 093 359 827 590 920 39.1 60.9 100.0
Female
At most 8 grades of primary school 5 923 28 394 34 317 17.3 82.7 100.0
Vocational school, apprentice school 48 695 54 777 103 472 47.1 52.9 100.0
Secondary general school 11 773 39 556 51 329 22.9 77.1 100.0
Secondary vocational school 43 964 82 056 126 021 34.9 65.1 100.0
College, university, PhD, DLA 48 756 142 164 190 920 25.5 74.5 100.0
Total 159 112 346 948 506 060 31.4 68.6 100.0
Economic activity
Total
Employed 294 138 466 790 760 928 38.7 61.3 100.0
Unemployed 18 730 28 508 47 238 39.6 60.4 100.0
Inactive 77 338 211 476 288 814 26.8 73.2 100.0
Total 390 205 706 774 1 096 979 35.6 64.4 100.0
Male
Employed 192 364 265 674 458 037 42.0 58.0 100.0
Unemployed 11 488 15 672 27 160 42.3 57.7 100.0
Inactive 27 241 78 481 105 722 25.8 74.2 100.0
Total 231 093 359 827 590 920 39.1 60.9 100.0
Female
Employed 101 774 201 116 302 890 33.6 66.4 100.0
Unemployed 7 241 12 836 20 078 36.1 63.9 100.0
Inactive 50 097 132 995 183 092 27.4 72.6 100.0
Total 159 112 346 948 506 060 31.4 68.6 100.0
County and region of residence
Total
Central Hungary 82 990 228 075 311 065 26.7 73.3 100.0
Budapest 37 899 144 723 182 622 20.8 79.2 100.0
Pest 45 091 83 352 128 444 35.1 64.9 100.0
Central Transdanubia 48 205 79 926 128 131 37.6 62.4 100.0
Fejér 21 795 28 534 50 328 43.3 56.7 100.0
Komárom-Esztergom 12 624 25 618 38 242 33.0 67.0 100.0
Veszprém 13 786 25 774 39 560 34.8 65.2 100.0
Western Transdanubia 49 763 65 651 115 415 43.1 56.9 100.0
Győr-Moson-Sopron 14 697 38 485 53 182 27.6 72.4 100.0
Vas 17 986 14 191 32 177 55.9 44.1 100.0
Zala 17 080 12 975 30 055 56.8 43.2 100.0
Southern Transdanubia 49 363 48 044 97 407 50.7 49.3 100.0
Baranya 15 045 19 986 35 031 42.9 57.1 100.0
Somogy 18 919 14 752 33 672 56.2 43.8 100.0
Tolna 15 398 13 306 28 704 53.6 46.4 100.0
Northern Hungary 47 084 85 617 132 701 35.5 64.5 100.0
Borsod-Abaúj-Zemplén 29 609 47 040 76 648 38.6 61.4 100.0
Heves 10 515 23 887 34 402 30.6 69.4 100.0
Nógrád 6 960 14 690 21 650 32.1 67.9 100.0
Northern Great Plain 54 741 117 148 171 890 31.8 68.2 100.0
Hajdú-Bihar 26 656 37 262 63 918 41.7 58.3 100.0
Jász-Nagykun-Szolnok 10 746 34 795 45 541 23.6 76.4 100.0
Szabolcs-Szatmár-Bereg 17 339 45 092 62 431 27.8 72.2 100.0
Southern Great Plain 58 059 82 312 140 372 41.4 58.6 100.0
Bács-Kiskun 26 592 29 067 55 659 47.8 52.2 100.0
Békés 10 734 22 334 33 068 32.5 67.5 100.0
Csongrád-Csanád 20 733 30 911 51 645 40.1 59.9 100.0
Total 390 205 706 774 1 096 979 35.6 64.4 100.0
Male
Central Hungary 45 788 114 324 160 112 28.6 71.4 100.0
Budapest 19 953 71 248 91 201 21.9 78.1 100.0
Pest 25 836 43 075 68 911 37.5 62.5 100.0
Central Transdanubia 30 707 40 373 71 080 43.2 56.8 100.0
Fejér 13 825 11 884 25 709 53.8 46.2 100.0
Komárom-Esztergom 7 720 13 980 21 700 35.6 64.4 100.0
Veszprém 9 161 14 510 23 671 38.7 61.3 100.0
Western Transdanubia 30 083 37 644 67 726 44.4 55.6 100.0
Győr-Moson-Sopron 9 104 23 250 32 354 28.1 71.9 100.0
Vas 9 811 7 645 17 456 56.2 43.8 100.0
Zala 11 167 6 749 17 916 62.3 37.7 100.0
Southern Transdanubia 29 154 22 177 51 331 56.8 43.2 100.0
Baranya 8 658 9 128 17 787 48.7 51.3 100.0
Somogy 10 908 6 799 17 707 61.6 38.4 100.0
Tolna 9 588 6 250 15 838 60.5 39.5 100.0
Northern Hungary 28 006 44 299 72 305 38.7 61.3 100.0
Borsod-Abaúj-Zemplén 18 439 23 479 41 918 44.0 56.0 100.0
Heves 5 508 12 825 18 333 30.0 70.0 100.0
Nógrád 4 059 7 995 12 054 33.7 66.3 100.0
Northern Great Plain 34 497 57 638 92 136 37.4 62.6 100.0
Hajdú-Bihar 17 241 16 377 33 618 51.3 48.7 100.0
Jász-Nagykun-Szolnok 6 054 17 801 23 854 25.4 74.6 100.0
Szabolcs-Szatmár-Bereg 11 203 23 460 34 664 32.3 67.7 100.0
Southern Great Plain 32 857 43 372 76 229 43.1 56.9 100.0
Bács-Kiskun 15 228 14 932 30 159 50.5 49.5 100.0
Békés 5 431 13 060 18 491 29.4 70.6 100.0
Csongrád-Csanád 12 198 15 380 27 579 44.2 55.8 100.0
Total 231 093 359 827 590 920 39.1 60.9 100.0
Female
Central Hungary 37 201 113 752 150 953 24.6 75.4 100.0
Budapest 17 946 73 475 91 421 19.6 80.4 100.0
Pest 19 255 40 277 59 532 32.3 67.7 100.0
Central Transdanubia 17 498 39 553 57 051 30.7 69.3 100.0
Fejér 7 969 16 650 24 619 32.4 67.6 100.0
Komárom-Esztergom 4 904 11 638 16 542 29.6 70.4 100.0
Veszprém 4 625 11 265 15 889 29.1 70.9 100.0
Western Transdanubia 19 681 28 008 47 688 41.3 58.7 100.0
Győr-Moson-Sopron 5 593 15 235 20 828 26.9 73.1 100.0
Vas 8 175 6 546 14 721 55.5 44.5 100.0
Zala 5 913 6 226 12 139 48.7 51.3 100.0
Southern Transdanubia 20 208 25 867 46 075 43.9 56.1 100.0
Baranya 6 387 10 858 17 244 37.0 63.0 100.0
Somogy 8 012 7 953 15 965 50.2 49.8 100.0
Tolna 5 810 7 056 12 866 45.2 54.8 100.0
Northern Hungary 19 078 41 318 60 395 31.6 68.4 100.0
Borsod-Abaúj-Zemplén 11 169 23 561 34 730 32.2 67.8 100.0
Heves 5 007 11 062 16 069 31.2 68.8 100.0
Nógrád 2 901 6 695 9 596 30.2 69.8 100.0
Northern Great Plain 20 244 59 510 79 754 25.4 74.6 100.0
Hajdú-Bihar 9 416 20 885 30 300 31.1 68.9 100.0
Jász-Nagykun-Szolnok 4 692 16 994 21 686 21.6 78.4 100.0
Szabolcs-Szatmár-Bereg 6 136 21 632 27 768 22.1 77.9 100.0
Southern Great Plain 25 202 38 941 64 143 39.3 60.7 100.0
Bács-Kiskun 11 364 14 136 25 500 44.6 55.4 100.0
Békés 5 303 9 274 14 577 36.4 63.6 100.0
Csongrád-Csanád 8 535 15 531 24 066 35.5 64.5 100.0
Total 159 112 346 948 506 060 31.4 68.6 100.0
The administrative classification of residence
Total
Town 206 562 324 742 531 304 38.9 61.1 100.0
Village 145 744 237 310 383 054 38.0 62.0 100.0
Budapest 37 899 144 723 182 622 20.8 79.2 100.0
Total 390 205 706 774 1 096 979 35.6 64.4 100.0
Male
Town 122 625 166 212 288 837 42.5 57.5 100.0
Village 88 515 122 367 210 882 42.0 58.0 100.0
Budapest 19 953 71 248 91 201 21.9 78.1 100.0
Total 231 093 359 827 590 920 39.1 60.9 100.0
Female
Town 83 937 158 530 242 467 34.6 65.4 100.0
Village 57 228 114 943 172 172 33.2 66.8 100.0
Budapest 17 946 73 475 91 421 19.6 80.4 100.0
Total 159 112 346 948 506 060 31.4 68.6 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 2, 2016 

© Hungarian Central Statistical Office, 2011