9.6.2.9. 15–34 year-old people who have no work by the willingness to commute in the hope of a job*

< >
Denomination The respondent Total The respondent Total
would travel more than one hour from home to the workplacea would not travel more than one hour from home to the workplace does not know if he / she would travel more than one hour from home to the workplace would travel more than one hour from home to the workplacea would not travel more than one hour from home to the workplace does not know if he / she would travel more than one hour from home to the workplace
persons %
Age group
Total
15–19 155 181 168 692 134 355 458 228 33.9 36.8 29.3 100.0
20–24 129 357 125 712 57 116 312 185 41.4 40.3 18.3 100.0
25–29 46 052 85 241 17 075 148 368 31.0 57.5 11.5 100.0
30–34 37 517 80 115 11 350 128 982 29.1 62.1 8.8 100.0
Total 368 106 459 760 219 897 1 047 763 35.1 43.9 21.0 100.0
Male
15–19 86 764 79 498 64 300 230 563 37.6 34.5 27.9 100.0
20–24 64 929 49 108 26 001 140 039 46.4 35.1 18.6 100.0
25–29 22 949 16 826 7 838 47 613 48.2 35.3 16.5 100.0
30–34 14 690 12 223 3 649 30 562 48.1 40.0 11.9 100.0
Total 189 332 157 656 101 788 448 776 42.2 35.1 22.7 100.0
Female
15–19 68 417 89 194 70 054 227 665 30.1 39.2 30.8 100.0
20–24 64 428 76 603 31 115 172 146 37.4 44.5 18.1 100.0
25–29 23 102 68 415 9 237 100 755 22.9 67.9 9.2 100.0
30–34 22 827 67 892 7 701 98 421 23.2 69.0 7.8 100.0
Total 178 774 302 104 118 109 598 987 29.8 50.4 19.7 100.0
Educational attainment
Total
At most 8 grades of primary school 167 296 234 995 142 113 544 403 30.7 43.2 26.1 100.0
Vocational school, apprentice school 30 671 40 598 9 879 81 148 37.8 50.0 12.2 100.0
Secondary general school 117 749 104 467 49 426 271 642 43.3 38.5 18.2 100.0
Secondary vocational school 26 431 37 103 11 229 74 763 35.4 49.6 15.0 100.0
College, university, PhD, DLA 25 960 42 597 7 251 75 807 34.2 56.2 9.6 100.0
Total 368 106 459 760 219 897 1 047 763 35.1 43.9 21.0 100.0
Male
At most 8 grades of primary school 95 095 94 844 68 643 258 582 36.8 36.7 26.5 100.0
Vocational school, apprentice school 14 504 12 000 5 108 31 612 45.9 38.0 16.2 100.0
Secondary general school 58 097 38 188 22 295 118 580 49.0 32.2 18.8 100.0
Secondary vocational school 14 559 7 693 3 840 26 092 55.8 29.5 14.7 100.0
College, university, PhD, DLA 7 078 4 931 1 901 13 910 50.9 35.5 13.7 100.0
Total 189 332 157 656 101 788 448 776 42.2 35.1 22.7 100.0
Female
At most 8 grades of primary school 72 201 140 151 73 469 285 822 25.3 49.0 25.7 100.0
Vocational school, apprentice school 16 167 28 598 4 771 49 535 32.6 57.7 9.6 100.0
Secondary general school 59 652 66 279 27 130 153 062 39.0 43.3 17.7 100.0
Secondary vocational school 11 872 29 410 7 389 48 671 24.4 60.4 15.2 100.0
College, university, PhD, DLA 18 882 37 666 5 350 61 897 30.5 60.9 8.6 100.0
Total 178 774 302 104 118 109 598 987 29.8 50.4 19.7 100.0
County and region of residence
Total
Central Hungary 121 894 103 291 61 647 286 832 42.5 36.0 21.5 100.0
Budapest 65 441 62 846 27 250 155 537 42.1 40.4 17.5 100.0
Pest 56 453 40 445 34 397 131 295 43.0 30.8 26.2 100.0
Central Transdanubia 27 276 58 978 18 764 105 018 26.0 56.2 17.9 100.0
Fejér 7 545 24 943 10 433 42 920 17.6 58.1 24.3 100.0
Komárom-Esztergom 13 295 13 463 2 827 29 585 44.9 45.5 9.6 100.0
Veszprém 6 436 20 573 5 504 32 513 19.8 63.3 16.9 100.0
Western Transdanubia 25 215 49 590 23 356 98 161 25.7 50.5 23.8 100.0
Győr-Moson-Sopron 7 561 26 249 10 807 44 618 16.9 58.8 24.2 100.0
Vas 8 252 10 883 6 886 26 022 31.7 41.8 26.5 100.0
Zala 9 402 12 457 5 663 27 522 34.2 45.3 20.6 100.0
Southern Transdanubia 29 621 45 026 20 802 95 449 31.0 47.2 21.8 100.0
Baranya 13 840 17 059 7 110 38 009 36.4 44.9 18.7 100.0
Somogy 8 045 14 655 8 651 31 350 25.7 46.7 27.6 100.0
Tolna 7 735 13 312 5 042 26 089 29.6 51.0 19.3 100.0
Northern Hungary 43 311 61 275 30 459 135 044 32.1 45.4 22.6 100.0
Borsod-Abaúj-Zemplén 24 757 36 321 17 246 78 325 31.6 46.4 22.0 100.0
Heves 8 730 14 178 9 337 32 245 27.1 44.0 29.0 100.0
Nógrád 9 824 10 775 3 876 24 474 40.1 44.0 15.8 100.0
Northern Great Plain 78 840 70 931 40 319 190 090 41.5 37.3 21.2 100.0
Hajdú-Bihar 33 594 19 952 14 026 67 573 49.7 29.5 20.8 100.0
Jász-Nagykun-Szolnok 14 087 21 164 7 770 43 022 32.7 49.2 18.1 100.0
Szabolcs-Szatmár-Bereg 31 158 29 814 18 523 79 495 39.2 37.5 23.3 100.0
Southern Great Plain 41 951 70 669 24 550 137 170 30.6 51.5 17.9 100.0
Bács-Kiskun 14 161 24 863 16 214 55 238 25.6 45.0 29.4 100.0
Békés 12 819 17 861 5 965 36 645 35.0 48.7 16.3 100.0
Csongrád-Csanád 14 971 27 945 2 370 45 286 33.1 61.7 5.2 100.0
Total 368 106 459 760 219 897 1 047 763 35.1 43.9 21.0 100.0
Male
Central Hungary 58 266 32 665 25 557 116 487 50.0 28.0 21.9 100.0
Budapest 31 596 19 914 9 956 61 465 51.4 32.4 16.2 100.0
Pest 26 670 12 751 15 601 55 022 48.5 23.2 28.4 100.0
Central Transdanubia 14 054 20 902 8 303 43 259 32.5 48.3 19.2 100.0
Fejér 4 864 9 736 4 333 18 932 25.7 51.4 22.9 100.0
Komárom-Esztergom 6 111 4 448 1 116 11 675 52.3 38.1 9.6 100.0
Veszprém 3 080 6 718 2 854 12 652 24.3 53.1 22.6 100.0
Western Transdanubia 13 693 17 780 10 179 41 652 32.9 42.7 24.4 100.0
Győr-Moson-Sopron 4 473 10 567 3 834 18 874 23.7 56.0 20.3 100.0
Vas 3 418 3 130 3 110 9 658 35.4 32.4 32.2 100.0
Zala 5 802 4 083 3 235 13 120 44.2 31.1 24.7 100.0
Southern Transdanubia 16 532 15 449 11 202 43 184 38.3 35.8 25.9 100.0
Baranya 7 016 5 513 3 911 16 440 42.7 33.5 23.8 100.0
Somogy 4 356 5 629 4 816 14 801 29.4 38.0 32.5 100.0
Tolna 5 160 4 308 2 475 11 943 43.2 36.1 20.7 100.0
Northern Hungary 22 112 20 771 15 261 58 144 38.0 35.7 26.2 100.0
Borsod-Abaúj-Zemplén 12 148 12 875 8 371 33 393 36.4 38.6 25.1 100.0
Heves 4 456 4 280 5 254 13 990 31.8 30.6 37.6 100.0
Nógrád 5 508 3 617 1 636 10 761 51.2 33.6 15.2 100.0
Northern Great Plain 40 954 24 147 19 050 84 151 48.7 28.7 22.6 100.0
Hajdú-Bihar 17 191 6 255 5 935 29 381 58.5 21.3 20.2 100.0
Jász-Nagykun-Szolnok 6 740 7 683 4 243 18 666 36.1 41.2 22.7 100.0
Szabolcs-Szatmár-Bereg 17 023 10 209 8 871 36 103 47.2 28.3 24.6 100.0
Southern Great Plain 23 722 25 942 12 236 61 900 38.3 41.9 19.8 100.0
Bács-Kiskun 7 193 8 769 8 448 24 409 29.5 35.9 34.6 100.0
Békés 7 172 6 277 3 445 16 894 42.5 37.2 20.4 100.0
Csongrád-Csanád 9 357 10 896 344 20 597 45.4 52.9 1.7 100.0
Total 189 332 157 656 101 788 448 776 42.2 35.1 22.7 100.0
Female
Central Hungary 63 628 70 626 36 090 170 344 37.4 41.5 21.2 100.0
Budapest 33 845 42 932 17 294 94 072 36.0 45.6 18.4 100.0
Pest 29 783 27 694 18 796 76 273 39.0 36.3 24.6 100.0
Central Transdanubia 13 221 38 076 10 461 61 758 21.4 61.7 16.9 100.0
Fejér 2 681 15 207 6 100 23 987 11.2 63.4 25.4 100.0
Komárom-Esztergom 7 184 9 015 1 711 17 910 40.1 50.3 9.6 100.0
Veszprém 3 357 13 855 2 650 19 861 16.9 69.8 13.3 100.0
Western Transdanubia 11 521 31 810 13 178 56 509 20.4 56.3 23.3 100.0
Győr-Moson-Sopron 3 088 15 683 6 973 25 744 12.0 60.9 27.1 100.0
Vas 4 834 7 753 3 776 16 363 29.5 47.4 23.1 100.0
Zala 3 600 8 374 2 428 14 402 25.0 58.1 16.9 100.0
Southern Transdanubia 13 089 29 577 9 600 52 265 25.0 56.6 18.4 100.0
Baranya 6 824 11 546 3 198 21 569 31.6 53.5 14.8 100.0
Somogy 3 689 9 026 3 834 16 550 22.3 54.5 23.2 100.0
Tolna 2 575 9 004 2 567 14 146 18.2 63.7 18.1 100.0
Northern Hungary 21 199 40 503 15 198 76 900 27.6 52.7 19.8 100.0
Borsod-Abaúj-Zemplén 12 609 23 447 8 876 44 932 28.1 52.2 19.8 100.0
Heves 4 274 9 898 4 083 18 255 23.4 54.2 22.4 100.0
Nógrád 4 316 7 158 2 240 13 713 31.5 52.2 16.3 100.0
Northern Great Plain 37 886 46 784 21 269 105 939 35.8 44.2 20.1 100.0
Hajdú-Bihar 16 403 13 697 8 091 38 191 43.0 35.9 21.2 100.0
Jász-Nagykun-Szolnok 7 348 13 481 3 526 24 355 30.2 55.4 14.5 100.0
Szabolcs-Szatmár-Bereg 14 135 19 605 9 652 43 392 32.6 45.2 22.2 100.0
Southern Great Plain 18 229 44 728 12 313 75 270 24.2 59.4 16.4 100.0
Bács-Kiskun 6 968 16 095 7 767 30 829 22.6 52.2 25.2 100.0
Békés 5 647 11 584 2 520 19 752 28.6 58.6 12.8 100.0
Csongrád-Csanád 5 614 17 049 2 026 24 689 22.7 69.1 8.2 100.0
Total 178 774 302 104 118 109 598 987 29.8 50.4 19.7 100.0
The administrative classification of residence
Total
Town 166 392 216 114 115 619 498 125 33.4 43.4 23.2 100.0
Village 136 274 180 800 77 027 394 101 34.6 45.9 19.5 100.0
Budapest 65 441 62 846 27 250 155 537 42.1 40.4 17.5 100.0
Total 368 106 459 760 219 897 1 047 763 35.1 43.9 21.0 100.0
Male
Town 87 959 76 495 54 086 218 540 40.2 35.0 24.7 100.0
Village 69 778 61 247 37 746 168 771 41.3 36.3 22.4 100.0
Budapest 31 596 19 914 9 956 61 465 51.4 32.4 16.2 100.0
Total 189 332 157 656 101 788 448 776 42.2 35.1 22.7 100.0
Female
Town 78 433 139 619 61 533 279 585 28.1 49.9 22.0 100.0
Village 66 496 119 553 39 281 225 330 29.5 53.1 17.4 100.0
Budapest 33 845 42 932 17 294 94 072 36.0 45.6 18.4 100.0
Total 178 774 302 104 118 109 598 987 29.8 50.4 19.7 100.0
*Source: Labour Force Survey, supplementary questionnaire Quarter 2, 2016  aConsidering the length of a one-way trip between the place of work and the workplace. 

© Hungarian Central Statistical Office, 2011