9.4.2.7. People aged 15–29 by the usefulness of their staying abroad for any reason*(1/2)

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Denomination The respondent's staying abroad was useful because of was not useful Total
the language skills the experience gained in international community the networking another reason
persons
Age group
Total
15–19 9 403 2 325 1 479 196 1 241 14 643
20–24 16 346 10 087 2 323 684 2 246 31 687
25–29 19 217 12 568 3 498 492 2 526 38 301
Total 44 966 24 980 7 300 1 372 6 013 84 631
Male
15–19 4 134 1 314 851 1 241 7 540
20–24 7 160 3 303 1 585 684 1 223 13 955
25–29 7 224 6 873 2 491 680 17 268
Total 18 518 11 490 4 927 684 3 144 38 763
Female
15–19 5 269 1 011 628 196 7 104
20–24 9 186 6 784 739 1 023 17 732
25–29 11 993 5 695 1 006 492 1 846 21 032
Total 26 448 13 490 2 373 688 2 869 45 868
Educational attainment
Total
At most 8 grades of primary school 8 156 1 849 1 128 196 1 838 13 167
Vocational school, apprentice school 364 1 263 275 842 2 744
Secondary general school 15 702 9 283 2 231 382 1 250 28 848
Secondary vocational school 3 156 2 737 1 718 302 987 8 900
College, university, PhD, DLA 17 588 9 848 2 223 217 1 096 30 972
Total 44 966 24 980 7 300 1 372 6 013 84 631
Male
At most 8 grades of primary school 2 906 802 981 1 628 6 317
Vocational school, apprentice school 177 767 450 1 393
Secondary general school 6 255 4 136 1 381 382 482 12 637
Secondary vocational school 1 743 1 665 961 302 468 5 139
College, university, PhD, DLA 7 437 4 121 1 604 115 13 277
Total 18 518 11 490 4 927 684 3 144 38 763
Female
At most 8 grades of primary school 5 250 1 048 147 196 209 6 850
Vocational school, apprentice school 187 496 275 393 1 351
Secondary general school 9 447 5 147 850 767 16 211
Secondary vocational school 1 414 1 072 757 519 3 761
College, university, PhD, DLA 10 151 5 727 619 217 981 17 695
Total 26 448 13 490 2 373 688 2 869 45 868
Economic activity
Total
employed 17 384 10 649 3 085 794 2 954 34 866
unemployed 316 712 130 97 1 255
inactive 27 265 13 619 4 084 578 2 963 48 509
Total 44 966 24 980 7 300 1 372 6 013 84 631
Male
employed 8 201 5 907 2 273 302 1 476 18 158
unemployed 83 560 130 773
inactive 10 234 5 023 2 524 382 1 668 19 831
Total 18 518 11 490 4 927 684 3 144 38 763
Female
employed 9 184 4 742 812 492 1 477 16 708
unemployed 233 152 97 482
inactive 17 031 8 596 1 560 196 1 295 28 678
Total 26 448 13 490 2 373 688 2 869 45 868
County and region of residence
Total
Central Hungary 18 422 8 883 2 297 196 1 490 31 289
Budapest 12 755 6 222 1 947 196 1 023 22 143
Pest 5 667 2 661 350 467 9 146
Central Transdanubia 5 684 1 376 60 275 1 567 8 962
Fejér 3 555 661 248 4 463
Komárom-Esztergom 1 508 289 60 275 474 2 606
Veszprém 621 427 845 1 893
Western Transdanubia 5 538 2 416 532 217 115 8 818
Győr-Moson-Sopron 3 049 1 217 205 217 4 689
Vas 975 697 1 671
Zala 1 514 502 327 115 2 458
Southern Transdanubia 4 455 3 049 167 814 8 484
Baranya 3 515 2 805 130 439 6 889
Somogy 598 243 37 209 1 087
Tolna 342 166 508
Northern Hungary 3 933 2 447 178 497 7 055
Borsod-Abaúj-Zemplén 2 160 1 579 178 362 4 278
Heves 346 531 877
Nógrád 1 427 338 135 1 900
Northern Great Plain 1 748 3 247 1 146 664 6 805
Hajdú-Bihar 660 1 967 324 102 3 054
Jász-Nagykun-Szolnok 1 088 813 146 119 2 166
Szabolcs-Szatmár-Bereg 467 676 442 1 585
Southern Great Plain 5 186 3 563 2 919 684 866 13 218
Bács-Kiskun 2 450 638 1 584 302 421 5 395
Békés 605 1 238 104 445 2 392
Csongrád-Csanád 2 131 1 686 1 335 279 5 431
Total 44 966 24 980 7 300 1 372 6 013 84 631
Male
Central Hungary 6 786 3 335 1 768 11 889
Budapest 3 797 1 350 1 549 6 696
Pest 2 990 1 985 219 5 193
Central Transdanubia 2 418 742 971 4 132
Fejér 1 289 443 248 1 980
Komárom-Esztergom 1 057 232 474 1 763
Veszprém 72 67 250 389
Western Transdanubia 3 029 1 716 532 115 5 393
Győr-Moson-Sopron 1 524 1 090 205 2 820
Vas 607 219 826
Zala 898 407 327 115 1 747
Southern Transdanubia 2 402 734 167 522 3 824
Baranya 1 663 734 130 439 2 966
Somogy 433 37 470
Tolna 305 83 388
Northern Hungary 1 525 1 533 178 362 3 597
Borsod-Abaúj-Zemplén 860 1 046 178 362 2 445
Heves 149 149 299
Nógrád 515 338 853
Northern Great Plain 529 1 181 522 613 2 845
Hajdú-Bihar 272 413 324 51 1 061
Jász-Nagykun-Szolnok 256 563 119 939
Szabolcs-Szatmár-Bereg 205 198 442 845
Southern Great Plain 1 829 2 248 1 760 684 562 7 082
Bács-Kiskun 1 071 286 425 302 330 2 413
Békés 116 811 104 232 1 263
Csongrád-Csanád 641 1 151 1 335 279 3 406
Total 18 518 11 490 4 927 684 3 144 38 763
Female
Central Hungary 11 636 5 548 529 196 1 490 19 399
Budapest 8 958 4 872 398 153 1 023 15 447
Pest 2 678 676 131 467 3 953
Central Transdanubia 3 266 634 60 275 596 4 830
Fejér 2 266 218 2 484
Komárom-Esztergom 451 56 60 275 843
Veszprém 549 359 596 1 504
Western Transdanubia 2 508 700 217 3 425
Győr-Moson-Sopron 1 525 127 217 1 869
Vas 368 478 845
Zala 616 95 711
Southern Transdanubia 2 053 2 315 292 4 660
Baranya 1 852 2 071 3 923
Somogy 164 243 209 617
Tolna 37 83 120
Northern Hungary 2 408 914 135 3 458
Borsod-Abaúj-Zemplén 1 300 533 1 833
Heves 197 381 578
Nógrád 912 135 1 047
Northern Great Plain 1 219 2 065 624 51 3 960
Hajdú-Bihar 388 1 554 51 1 993
Jász-Nagykun-Szolnok 831 250 146 1 227
Szabolcs-Szatmár-Bereg 262 478 740
Southern Great Plain 3 358 1 314 1 159 305 6 136
Bács-Kiskun 1 379 351 1 159 92 2 981
Békés 489 428 213 1 129
Csongrád-Csanád 1 490 535 2 025
Total 26 448 13 490 2 373 688 2 869 45 868
The administrative classification of residence
Total
town 12 755 6 222 1 947 196 1 023 22 143
village 12 631 4 320 1 042 1 905 19 898
Budapest 19 580 14 438 4 311 1 176 3 086 42 590
Total 44 966 24 980 7 300 1 372 6 013 84 631
Male
town 3 797 1 350 1 549 6 696
village 6 148 2 054 386 1 634 10 222
Budapest 8 573 8 086 2 992 684 1 510 21 845
Total 18 518 11 490 4 927 684 3 144 38 763
Female
town 8 958 4 872 398 196 1 023 15 447
village 6 483 2 266 656 271 9 677
Budapest 11 007 6 351 1 319 492 1 575 20 744
Total 26 448 13 490 2 373 688 2 869 45 868
*Source: Labour Force Survey, supplementary questionnaire Quarter 4, 2015. 

© Hungarian Central Statistical Office, 2011