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 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 | 2029 | 2030 | 2031 | 2032 | 2033 | 2034 | 2035 | 2036 | 2037 | 2038 | 2039 | 2040 | 2041 | 2042 | 2043 | 2044 | 2045 | 2046 | 2047 | 2048 | 2049 | 2050 | 2051 | 2052 | 2053 | 2054 | 2055 | 2056 | 2057 | 2058 | 2059 | 2060 | 2061 | 2062 | 2063 | 2064 | 2065 | 2066 | 2067 | 2068 | 2069 | 2070 | 2071 | 2072 | 2073 | 2074 | 2075 | 2076 | 2077 | 2078 | 2079 | 2080 | 2081 | 2082 | 2083 | 2084 | 2085 | 2086 | 2087 | 2088 | 2089 | 2090 | 2091 | 2092 | 2093 | 2094 | 2095 | 2096 | 2097 | 2098 | 2099 | 2100 |
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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 |
Showing results 1 - 10 / 825
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