9.6.1.5.2. 15–34 year-old people with more than 8 grades of primary school as highest level of education by the start of new education after obtaining the highest level of education*

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Denomination The respondent Total The respondent Total
started new studies after obtaining his / her highest level of education did not start new studies after obtaining his / her highest level of education started new studies after obtaining his / her highest level of education did not start new studies after obtaining his / her highest level of education
persons %
Age group
Total
15–19 11 151 31 136 42 287 26.4 73.6 100.0
20–24 42 614 287 983 330 596 12.9 87.1 100.0
25–29 58 212 491 919 550 132 10.6 89.4 100.0
30–34 62 540 522 242 584 782 10.7 89.3 100.0
Total 174 517 1 333 280 1 507 797 11.6 88.4 100.0
Male
15–19 7 989 17 929 25 918 30.8 69.2 100.0
20–24 19 721 158 655 178 376 11.1 88.9 100.0
25–29 31 408 250 806 282 214 11.1 88.9 100.0
30–34 34 530 263 801 298 331 11.6 88.4 100.0
Total 93 648 691 191 784 838 11.9 88.1 100.0
Female
15–19 3 162 13 207 16 369 19.3 80.7 100.0
20–24 22 893 129 328 152 221 15.0 85.0 100.0
25–29 26 804 241 114 267 917 10.0 90.0 100.0
30–34 28 011 258 441 286 452 9.8 90.2 100.0
Total 80 870 642 090 722 959 11.2 88.8 100.0
Educational attainment
Total
At most 8 grades of primary school 56 396 202 942 259 338 21.7 78.3 100.0
Vocational school, apprentice school 18 224 300 090 318 313 5.7 94.3 100.0
Secondary general school 35 660 202 436 238 096 15.0 85.0 100.0
Secondary vocational school 36 559 286 810 323 369 11.3 88.7 100.0
College, university, PhD, DLA 27 678 341 003 368 681 7.5 92.5 100.0
Total 174 517 1 333 280 1 507 797 11.6 88.4 100.0
Male
At most 8 grades of primary school 33 742 106 751 140 493 24.0 76.0 100.0
Vocational school, apprentice school 11 573 198 686 210 259 5.5 94.5 100.0
Secondary general school 13 889 92 415 106 304 13.1 86.9 100.0
Secondary vocational school 20 443 156 247 176 690 11.6 88.4 100.0
College, university, PhD, DLA 14 001 137 091 151 093 9.3 90.7 100.0
Total 93 648 691 191 784 838 11.9 88.1 100.0
Female
At most 8 grades of primary school 22 655 96 190 118 845 19.1 80.9 100.0
Vocational school, apprentice school 6 651 101 404 108 054 6.2 93.8 100.0
Secondary general school 21 771 110 021 131 793 16.5 83.5 100.0
Secondary vocational school 16 116 130 563 146 679 11.0 89.0 100.0
College, university, PhD, DLA 13 677 203 911 217 588 6.3 93.7 100.0
Total 80 870 642 090 722 959 11.2 88.8 100.0
Economic activity
Total
Employed 124 473 1 033 958 1 158 431 10.7 89.3 100.0
Unemployed 20 809 77 731 98 540 21.1 78.9 100.0
Inactive 29 235 221 591 250 826 11.7 88.3 100.0
Total 174 517 1 333 280 1 507 797 11.6 88.4 100.0
Male
Employed 75 365 601 304 676 669 11.1 88.9 100.0
Unemployed 11 511 47 419 58 930 19.5 80.5 100.0
Inactive 6 772 42 468 49 240 13.8 86.2 100.0
Total 93 648 691 191 784 838 11.9 88.1 100.0
Female
Employed 49 108 432 655 481 762 10.2 89.8 100.0
Unemployed 9 299 30 312 39 610 23.5 76.5 100.0
Inactive 22 464 179 123 201 586 11.1 88.9 100.0
Total 80 870 642 090 722 959 11.2 88.8 100.0
County and region of residence
Total
Central Hungary 45 382 407 976 453 358 10.0 90.0 100.0
Budapest 32 169 246 101 278 270 11.6 88.4 100.0
Pest 13 213 161 875 175 088 7.5 92.5 100.0
Central Transdanubia 12 096 153 477 165 573 7.3 92.7 100.0
Fejér 5 550 54 467 60 017 9.2 90.8 100.0
Komárom-Esztergom 2 966 49 105 52 071 5.7 94.3 100.0
Veszprém 3 581 49 905 53 485 6.7 93.3 100.0
Western Transdanubia 9 900 139 374 149 274 6.6 93.4 100.0
Győr-Moson-Sopron 4 254 67 819 72 073 5.9 94.1 100.0
Vas 3 149 37 516 40 665 7.7 92.3 100.0
Zala 2 496 34 040 36 536 6.8 93.2 100.0
Southern Transdanubia 22 270 109 763 132 033 16.9 83.1 100.0
Baranya 10 344 42 339 52 683 19.6 80.4 100.0
Somogy 6 436 39 423 45 860 14.0 86.0 100.0
Tolna 5 490 28 001 33 491 16.4 83.6 100.0
Northern Hungary 24 473 154 025 178 498 13.7 86.3 100.0
Borsod-Abaúj-Zemplén 16 058 88 870 104 927 15.3 84.7 100.0
Heves 5 607 39 624 45 230 12.4 87.6 100.0
Nógrád 2 809 25 532 28 341 9.9 90.1 100.0
Northern Great Plain 36 112 201 937 238 049 15.2 84.8 100.0
Hajdú-Bihar 10 725 73 688 84 413 12.7 87.3 100.0
Jász-Nagykun-Szolnok 10 688 47 278 57 966 18.4 81.6 100.0
Szabolcs-Szatmár-Bereg 14 699 80 972 95 671 15.4 84.6 100.0
Southern Great Plain 24 284 166 727 191 011 12.7 87.3 100.0
Bács-Kiskun 7 256 73 274 80 530 9.0 91.0 100.0
Békés 9 575 44 168 53 742 17.8 82.2 100.0
Csongrád-Csanád 7 454 49 285 56 739 13.1 86.9 100.0
Total 174 517 1 333 280 1 507 797 11.6 88.4 100.0
Male
Central Hungary 26 162 205 918 232 080 11.3 88.7 100.0
Budapest 18 383 122 031 140 414 13.1 86.9 100.0
Pest 7 779 83 887 91 666 8.5 91.5 100.0
Central Transdanubia 6 001 80 990 86 992 6.9 93.1 100.0
Fejér 3 416 28 343 31 759 10.8 89.2 100.0
Komárom-Esztergom 974 25 501 26 475 3.7 96.3 100.0
Veszprém 1 611 27 146 28 757 5.6 94.4 100.0
Western Transdanubia 5 749 71 340 77 089 7.5 92.5 100.0
Győr-Moson-Sopron 2 681 33 792 36 473 7.3 92.7 100.0
Vas 1 619 20 294 21 913 7.4 92.6 100.0
Zala 1 450 17 254 18 704 7.8 92.2 100.0
Southern Transdanubia 11 360 57 495 68 856 16.5 83.5 100.0
Baranya 6 218 21 328 27 546 22.6 77.4 100.0
Somogy 3 030 20 277 23 307 13.0 87.0 100.0
Tolna 2 112 15 890 18 003 11.7 88.3 100.0
Northern Hungary 10 709 82 838 93 547 11.4 88.6 100.0
Borsod-Abaúj-Zemplén 6 847 48 615 55 462 12.3 87.7 100.0
Heves 2 796 20 012 22 808 12.3 87.7 100.0
Nógrád 1 066 14 211 15 277 7.0 93.0 100.0
Northern Great Plain 19 605 106 694 126 300 15.5 84.5 100.0
Hajdú-Bihar 5 714 38 914 44 627 12.8 87.2 100.0
Jász-Nagykun-Szolnok 6 293 24 076 30 369 20.7 79.3 100.0
Szabolcs-Szatmár-Bereg 7 598 43 705 51 303 14.8 85.2 100.0
Southern Great Plain 14 061 85 915 99 975 14.1 85.9 100.0
Bács-Kiskun 4 525 37 447 41 972 10.8 89.2 100.0
Békés 5 311 23 337 28 648 18.5 81.5 100.0
Csongrád-Csanád 4 225 25 131 29 356 14.4 85.6 100.0
Total 93 648 691 191 784 838 11.9 88.1 100.0
Female
Central Hungary 19 220 202 059 221 278 8.7 91.3 100.0
Budapest 13 786 124 070 137 857 10.0 90.0 100.0
Pest 5 433 77 988 83 422 6.5 93.5 100.0
Central Transdanubia 6 095 72 486 78 581 7.8 92.2 100.0
Fejér 2 133 26 125 28 258 7.5 92.5 100.0
Komárom-Esztergom 1 992 23 604 25 596 7.8 92.2 100.0
Veszprém 1 969 22 758 24 728 8.0 92.0 100.0
Western Transdanubia 4 151 68 034 72 185 5.8 94.2 100.0
Győr-Moson-Sopron 1 574 34 026 35 600 4.4 95.6 100.0
Vas 1 530 17 222 18 752 8.2 91.8 100.0
Zala 1 047 16 786 17 833 5.9 94.1 100.0
Southern Transdanubia 10 910 52 268 63 178 17.3 82.7 100.0
Baranya 4 126 21 011 25 137 16.4 83.6 100.0
Somogy 3 406 19 147 22 553 15.1 84.9 100.0
Tolna 3 378 12 110 15 488 21.8 78.2 100.0
Northern Hungary 13 764 71 187 84 951 16.2 83.8 100.0
Borsod-Abaúj-Zemplén 9 211 40 254 49 465 18.6 81.4 100.0
Heves 2 810 19 612 22 422 12.5 87.5 100.0
Nógrád 1 743 11 321 13 063 13.3 86.7 100.0
Northern Great Plain 16 506 95 243 111 750 14.8 85.2 100.0
Hajdú-Bihar 5 011 34 774 39 785 12.6 87.4 100.0
Jász-Nagykun-Szolnok 4 395 23 202 27 597 15.9 84.1 100.0
Szabolcs-Szatmár-Bereg 7 101 37 267 44 368 16.0 84.0 100.0
Southern Great Plain 10 224 80 812 91 036 11.2 88.8 100.0
Bács-Kiskun 2 731 35 827 38 558 7.1 92.9 100.0
Békés 4 264 20 831 25 095 17.0 83.0 100.0
Csongrád-Csanád 3 229 24 154 27 383 11.8 88.2 100.0
Total 80 870 642 090 722 959 11.2 88.8 100.0
The administrative classification of residence
Total
Town 82 284 616 380 698 664 11.8 88.2 100.0
Village 60 064 470 799 530 863 11.3 88.7 100.0
Budapest 32 169 246 101 278 270 11.6 88.4 100.0
Total 174 517 1 333 280 1 507 797 11.6 88.4 100.0
Male
Town 44 601 319 123 363 724 12.3 87.7 100.0
Village 30 663 250 036 280 700 10.9 89.1 100.0
Budapest 18 383 122 031 140 414 13.1 86.9 100.0
Total 93 648 691 191 784 838 11.9 88.1 100.0
Female
Town 37 683 297 257 334 939 11.3 88.7 100.0
Village 29 401 220 763 250 163 11.8 88.2 100.0
Budapest 13 786 124 070 137 857 10.0 90.0 100.0
Total 80 870 642 090 722 959 11.2 88.8 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 2, 2016 

© Hungarian Central Statistical Office, 2011