Assumptions for net migration by age, sex, type of projection and metropolitan regions [met_proj_19ranmig]

Documentation on provider website

Updated by provider on December 20, 2022 (6:21 PM)

Frequency [FREQ]
Type of projection [projection]
Age class [age]
Unit of measure [unit]
Sex [sex]
Metropolitan regions [metroreg]

Dataset has 825 series. Add search filters to narrow them.

Series code 2019202020212022202320242025202620272028202920302031203220332034203520362037203820392040204120422043204420452046204720482049205020512052205320542055205620572058205920602061206220632064206520662067206820692070207120722073207420752076207720782079208020812082208320842085208620872088208920902091209220932094209520962097209820992100
A.BSL.TOTAL.PER.F.AT001MC 11441 6473 6709 6983 7286 7617 7269 7134 7003 6926 6814 6688 6597 6498 6412 6360 6261 6154 6073 5946 5853 5724 5623 5520 5416 5326 5227 5142 5038 4971 4901 4843 4805 4704 4680 4628 4601 4565 4548 4529 4494 4445 4443 4415 4387 4359 4331 4307 4263 4252 4235 4210 4163 4156 4102 4078 4043 4026 4011 3976 3931 3939 3933 3933 3931 3909 3887 3896 3881 3858 3847 3838 3809 3811 3815 3818 3803 3785 3772 3779 3776 3776
A.BSL.TOTAL.PER.F.AT002M 2090 1386 1434 1483 1542 1598 1538 1523 1485 1468 1479 1459 1431 1426 1408 1395 1391 1376 1345 1343 1299 1278 1253 1215 1213 1190 1164 1151 1162 1124 1112 1088 1088 1076 1059 1061 1052 1053 1054 1037 1032 1016 1024 1013 1010 1013 1013 990 996 990 974 968 961 954 936 928 919 920 925 923 912 901 897 883 894 874 872 862 857 860 850 856 860 857 846 849 841 821 831 818 815 809
A.BSL.TOTAL.PER.F.AT003M 2180 1384 1378 1392 1430 1434 1385 1379 1373 1366 1357 1354 1364 1361 1343 1341 1320 1320 1324 1318 1301 1294 1295 1300 1268 1269 1268 1260 1261 1265 1258 1243 1230 1231 1231 1232 1231 1226 1218 1232 1228 1228 1216 1205 1211 1210 1208 1222 1219 1197 1202 1189 1187 1187 1185 1174 1178 1167 1163 1171 1169 1155 1159 1145 1155 1158 1164 1150 1147 1140 1143 1140 1151 1141 1149 1134 1145 1132 1139 1132 1132 1133
A.BSL.TOTAL.PER.F.AT004M 1021 486 522 560 612 657 624 614 627 616 626 631 636 637 628 623 626 628 631 638 634 636 634 633 631 631 621 611 618 626 619 615 625 621 625 618 612 619 625 618 623 615 620 613 626 625 623 615 617 614 617 610 621 620 614 606 619 616 622 613 613 611 612 615 602 609 605 607 604 603 611 615 605 605 608 607 598 602 605 602 605 600
A.BSL.TOTAL.PER.F.AT005M 914 444 497 545 594 671 656 647 653 642 639 640 647 649 649 647 646 658 651 649 642 649 633 631 635 623 615 617 616 602 595 588 582 587 588 588 595 587 587 586 587 599 591 592 587 592 589 588 589 591 597 597 582 587 580 580 567 580 579 580 577 571 576 566 558 568 568 563 568 560 555 562 560 563 555 554 553 548 543 541 549 537
A.BSL.TOTAL.PER.F.AT_NM 7508 4456 4763 5055 5317 5602 5545 5639 5726 5787 5820 5883 5915 5960 6016 6017 6059 6082 6111 6143 6199 6232 6262 6278 6305 6313 6348 6371 6362 6382 6419 6449 6431 6486 6476 6492 6501 6505 6491 6499 6515 6544 6527 6546 6542 6530 6524 6527 6519 6509 6474 6483 6482 6442 6474 6472 6454 6415 6372 6359 6384 6358 6320 6313 6277 6265 6247 6235 6224 6223 6191 6158 6146 6126 6099 6067 6049 6060 6018 5990 5941 5927
A.BSL.TOTAL.PER.F.BE001MC 7165 5433 4471 3582 2704 1851 1497 1404 1301 1219 1106 1019 938 816 716 645 541 442 368 287 210 140 79 28 -24 -63 -107 -131 -140 -157 -173 -189 -170 -162 -173 -131 -130 -88 -107 -60 -54 -56 -30 -22 -4 7 17 40 55 89 87 91 137 144 156 178 207 225 269 299 332 349 396 434 464 502 539 574 621 613 658 706 745 763 796 842 860 890 918 950 999 1050
A.BSL.TOTAL.PER.F.BE002M 1689 1314 1163 1008 867 723 708 743 790 835 852 908 952 985 1006 1028 1046 1076 1082 1095 1105 1130 1156 1178 1198 1215 1224 1254 1272 1295 1322 1344 1376 1392 1417 1437 1464 1479 1500 1522 1534 1555 1579 1574 1595 1606 1625 1633 1641 1646 1656 1666 1674 1682 1691 1698 1710 1713 1735 1752 1746 1759 1776 1780 1786 1805 1801 1811 1827 1830 1833 1843 1848 1851 1863 1848 1868 1860 1865 1873 1871 1884
A.BSL.TOTAL.PER.F.BE003M 1205 1011 908 833 717 634 626 633 649 645 648 670 685 704 701 700 693 686 687 677 669 666 661 645 650 659 651 658 655 648 647 657 671 666 685 681 701 690 705 704 709 708 731 710 711 714 716 728 733 728 732 731 728 734 736 732 744 751 744 755 755 746 748 754 760 748 757 766 774 768 778 774 788 790 788 798 789 787 791 796 781 791
A.BSL.TOTAL.PER.F.BE004M 225 166 154 129 107 66 75 76 85 93 101 104 114 106 117 122 132 134 145 149 159 169 171 175 193 192 204 211 219 229 226 236 230 228 241 241 238 239 245 247 252 256 261 265 262 266 283 270 282 285 274 282 280 282 291 293 284 306 299 311 310 308 310 314 313 315 321 329 323 327 327 330 326 326 333 336 335 341 353 339 347 343
Dimension codes and labels
[FREQ] Frequency
  • [A] Annual
[projection] Type of projection
  • [BSL] Baseline projections
[age] Age class
  • [TOTAL] Total
[unit] Unit of measure
  • [PER] Person
[sex] Sex
  • [F] Females
  • [M] Males
  • [T] Total
[metroreg] Metropolitan regions
  • [AT001MC] Wien
  • [AT002M] Graz
  • [AT003M] Linz
  • [AT004M] Salzburg
  • [AT005M] Innsbruck
  • [AT_NM] Non-metropolitan regions in Austria
  • [BE001MC] Bruxelles / Brussel
  • [BE002M] Antwerpen
  • [BE003M] Gent
  • [BE004M] Charleroi
  • [BE005M] Liège
  • [BE_NM] Non-metropolitan regions in Belgium
  • [BG001MC] Sofia
  • [BG002M] Plovdiv
  • [BG003M] Varna
  • [BG004M] Burgas
  • [BG_NM] Non-metropolitan regions in Bulgaria
  • [CH001M] Zürich
  • [CH002M] Genève
  • [CH003M] Basel
  • [CH004MC] Bern
  • [CH005M] Lausanne
  • [CH_NM] Non-metropolitan regions in Switzerland
  • [CY001MC] Lefkosia
  • [CZ001MC] Praha
  • [CZ002M] Brno
  • [CZ003M] Ostrava
  • [CZ004M] Plzen
  • [CZ_NM] Non-metropolitan regions in Czech Republic
  • [DE001MC] Berlin
  • [DE002M] Hamburg
  • [DE003M] München
  • [DE004M] Köln
  • [DE005M] Frankfurt am Main
  • [DE007M] Stuttgart
  • [DE008M] Leipzig
  • [DE009M] Dresden
  • [DE011M] Düsseldorf
  • [DE012M] Bremen
  • [DE013M] Hannover
  • [DE014M] Nürnberg
  • [DE017M] Bielefeld
  • [DE018M] Halle an der Saale
  • [DE019M] Magdeburg
  • [DE020M] Wiesbaden
  • [DE021M] Göttingen
  • [DE025M] Darmstadt
  • [DE027M] Freiburg im Breisgau
  • [DE028M] Regensburg
  • [DE031M] Schwerin
  • [DE032M] Erfurt
  • [DE033M] Augsburg
  • [DE034M] Bonn
  • [DE035M] Karlsruhe
  • [DE036M] Mönchengladbach
  • [DE037M] Mainz
  • [DE038M] Ruhrgebiet
  • [DE039M] Kiel
  • [DE040M] Saarbrücken
  • [DE042M] Koblenz
  • [DE043M] Rostock
  • [DE044M] Kaiserslautern
  • [DE045M] Iserlohn
  • [DE052M] Flensburg
  • [DE054M] Konstanz
  • [DE057M] Gießen
  • [DE059M] Bayreuth
  • [DE061M] Aschaffenburg
  • [DE064M] Neubrandenburg
  • [DE069M] Rosenheim
  • [DE073M] Offenburg
  • [DE074M] Görlitz
  • [DE077M] Schweinfurt
  • [DE079M] Wetzlar
  • [DE083M] Braunschweig-Salzgitter-Wolfsburg
  • [DE084M] Mannheim-Ludwigshafen
  • [DE504M] Münster
  • [DE507M] Aachen
  • [DE510M] Lübeck
  • [DE513M] Kassel
  • [DE517M] Osnabrück
  • [DE520M] Oldenburg (Oldenburg)
  • [DE522M] Heidelberg
  • [DE523M] Paderborn
  • [DE524M] Würzburg
  • [DE527M] Bremerhaven
  • [DE529M] Heilbronn
  • [DE532M] Ulm
  • [DE533M] Pforzheim
  • [DE534M] Ingolstadt
  • [DE537M] Reutlingen
  • [DE540M] Siegen
  • [DE542M] Hildesheim
  • [DE544M] Zwickau
  • [DE546M] Wuppertal
  • [DE548M] Düren
  • [DE549M] Bocholt
  • [DE_NM] Non-metropolitan regions in Germany
  • [DK001MC] København
  • [DK002M] Århus
  • [DK003M] Odense
  • [DK004M] Aalborg
  • [DK_NM] Non-metropolitan regions in Denmark
  • [EE001MC] Tallinn
  • [EE_NM] Non-metropolitan regions in Estonia
  • [EL001MC] Athina
  • [EL002M] Thessaloniki
  • [EL_NM] Non-metropolitan regions in Greece
  • [ES001MC] Madrid
  • [ES002M] Barcelona
  • [ES003M] Valencia
  • [ES004M] Sevilla
  • [ES005M] Zaragoza
  • [ES006M] Málaga - Marbella
  • [ES007M] Murcia - Cartagena
  • [ES008M] Las Palmas
  • [ES009M] Valladolid
  • [ES010M] Palma de Mallorca
  • [ES012M] Vitoria/Gasteiz
  • [ES013M] Oviedo - Gijón
  • [ES014M] Pamplona/Iruña
  • [ES015M] Santander
  • [ES019M] Bilbao
  • [ES020M] Córdoba
  • [ES021M] Alicante/Alacant - Elche/Elx
  • [ES022M] Vigo
  • [ES025M] Santa Cruz de Tenerife
  • [ES026M] A Coruña
  • [ES501M] Granada
  • [ES510M] Guipúzcoa
  • [ES522M] Cádiz
  • [ES_NM] Non-metropolitan regions in Spain
  • [FI001MC] Helsinki
  • [FI002M] Tampere
  • [FI003M] Turku
  • [FI_NM] Non-metropolitan regions in Finland
  • [FR001MC] Paris
  • [FR003M] Lyon
  • [FR004M] Toulouse
  • [FR006M] Strasbourg
  • [FR007M] Bordeaux
  • [FR008M] Nantes
  • [FR009M] Lille - Dunkerque - Valenciennes
  • [FR010M] Montpellier
  • [FR011M] Saint-Etienne
  • [FR013M] Rennes
  • [FR014M] Amiens
  • [FR015M] Rouen
  • [FR016M] Nancy
  • [FR018M] Reims
  • [FR019M] Orléans
  • [FR020M] Dijon
  • [FR021M] Poitiers
  • [FR022M] Clermont-Ferrand
  • [FR023M] Caen
  • [FR024M] Limoges
  • [FR025M] Besançon
  • [FR026M] Grenoble
  • [FR030M] Fort-de-France
  • [FR035M] Tours
  • [FR036M] Angers
  • [FR037M] Brest
  • [FR038M] Le Mans
  • [FR040M] Mulhouse
  • [FR043M] Perpignan
  • [FR044M] Nimes
  • [FR045M] Pau
  • [FR203M] Marseille
  • [FR205M] Nice
  • [FR_NM] Non-metropolitan regions in France
  • [HR001MC] Zagreb
  • [HR005M] Split
  • [HR_NM] Non-metropolitan regions in Croatia
  • [HU001MC] Budapest
  • [HU002M] Miskolc
  • [HU004M] Pécs
  • [HU005M] Debrecen
  • [HU009M] Székesfehérvár
  • [HU_NM] Non-metropolitan regions in Hungary
  • [IE001MC] Dublin
  • [IE002M] Cork
  • [IE_NM] Non-metropolitan regions in Ireland
  • [IS_NM] Non-metropolitan regions in Iceland
  • [IT001MC] Roma
  • [IT002M] Milano
  • [IT003M] Napoli
  • [IT004M] Torino
  • [IT005M] Palermo
  • [IT006M] Genova
  • [IT007M] Firenze
  • [IT008M] Bari
  • [IT009M] Bologna
  • [IT010M] Catania
  • [IT011M] Venezia
  • [IT012M] Verona
  • [IT022M] Taranto
  • [IT027M] Cagliari
  • [IT028M] Padova
  • [IT029M] Brescia
  • [IT501M] Messina
  • [IT502M] Prato
  • [IT503M] Parma
  • [IT505M] Reggio nell Emilia
  • [IT_NM] Non-metropolitan regions in Italy
  • [LI_NM] Non-metropolitan regions in Liechtenstein
  • [LT001MC] Vilnius
  • [LT002M] Kaunas
  • [LT_NM] Non-metropolitan regions in Lithuania
  • [LU001MC] Luxembourg
  • [LV001MC] Riga
  • [LV_NM] Non-metropolitan regions in Latvia
  • [MT001MC] Valletta
  • [MT_NM] Non-metropolitan regions in Malta
  • [NL001M] s' Gravenhage
  • [NL002MC] Amsterdam
  • [NL003M] Rotterdam
  • [NL004M] Utrecht
  • [NL005M] Eindhoven
  • [NL006M] Tilburg
  • [NL007M] Groningen
  • [NL008M] Enschede
  • [NL009M] Arnhem - Nijmegen
  • [NL012M] Breda
  • [NL015M] Leeuwarden
  • [NL507M] Leiden
  • [NL511M] Zwolle
  • [NL_NM] Non-metropolitan regions in Netherlands
  • [NO001MC] Oslo
  • [NO002M] Bergen
  • [NO_NM] Non-metropolitan regions in Norway
  • [PL001MC] Warszawa
  • [PL002M] Lódz
  • [PL003M] Kraków
  • [PL004M] Wroclaw
  • [PL005M] Poznan
  • [PL006M] Gdansk
  • [PL007M] Szczecin
  • [PL008M] Bydgoszcz - Torún
  • [PL009M] Lublin
  • [PL010M] Katowice
  • [PL011M] Bialystok
  • [PL012M] Kielce
  • [PL014M] Olsztyn
  • [PL015M] Rzeszów
  • [PL016M] Opole
  • [PL024M] Czestochowa
  • [PL025M] Radom
  • [PL506M] Bielsko-Biala
  • [PL514M] Tarnów
  • [PL_NM] Non-metropolitan regions in Poland
  • [PT001MC] Lisboa
  • [PT002M] Porto
  • [PT005M] Coimbra
  • [PT_NM] Non-metropolitan regions in Portugal
  • [RO001MC] Bucuresti
  • [RO002M] Cluj-Napoca
  • [RO003M] Timisoara
  • [RO004M] Craiova
  • [RO501M] Constanta
  • [RO502M] Iasi
  • [RO503M] Galati
  • [RO504M] Brasov
  • [RO505M] Ploiesti
  • [RO_NM] Non-metropolitan regions in Romania
  • [SE001MC] Stockholm
  • [SE002M] Göteborg
  • [SE003M] Malmö
  • [SE006M] Uppsala
  • [SE_NM] Non-metropolitan regions in Sweden
  • [SI001MC] Ljubljana
  • [SI002M] Maribor
  • [SI_NM] Non-metropolitan regions in Slovenia
  • [SK001MC] Bratislava
  • [SK002M] Kosice
  • [SK_NM] Non-metropolitan regions in Slovakia
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