EU regions (NUTS 2) by net migration including statistical adjustment
Warszawski stołeczny had the highest net migration including statistical adjustment of 244 regions in 2020, at 162,349. Śląskie had the lowest, at -143,356. The median was 2,802 and the figure for the European Union (27) was 143,479. Source: Eurostat, European Commission.
Top 40 regions, 2020
Full ranking
| Rank | Regions | 2020 | Change on 2019 |
|---|---|---|---|
| 1 | Warszawski stołeczny Series break | 162,349 | +549.6% |
| 2 | Catalonia | 50,893 | -48.4% |
| 3 | Andalusia | 36,704 | -26.5% |
| 4 | Aquitaine | 34,460 | +44.6% |
| 5 | Valencian Community | 34,217 | -46.4% |
| 6 | Provence-Alpes-Côte d’Azur | 29,902 | +134.4% |
| 7 | Midi-Pyrénées | 26,798 | +26.7% |
| 8 | Languedoc-Roussillon | 26,616 | +22.8% |
| 9 | Toscana | 25,751 | +125.1% |
| 10 | Bretagne | 25,474 | +11.4% |
| 11 | Rhône-Alpes | 24,943 | +78.8% |
| 12 | Brandenburg | 24,813 | +9.4% |
| 13 | Community of Madrid | 20,621 | -78% |
| 14 | Lombardia | 20,312 | -53.5% |
| 15 | Pays de la Loire | 19,712 | -8.8% |
| 16 | Eastern and Midland | 18,290 | -19.8% |
| 17 | Schleswig-Holstein | 17,909 | +3.1% |
| 18 | Castilla-La Mancha | 15,633 | +1.9% |
| 19 | Veneto | 15,362 | +55.4% |
| 20 | Pest | 15,282 | -19.9% |
| 21 | Attiki | 14,501 | -8.5% |
| 22 | Centro (PT) | 14,276 | +24.9% |
| 23 | Noord-Brabant | 14,136 | -19.6% |
| 24 | Oeste e Vale do Tejo | 13,897 | +136% |
| 25 | Střední Čechy | 13,721 | -5% |
| 26 | Zuid-Holland | 13,490 | -48.9% |
| 27 | Galicia | 13,170 | -26.6% |
| 28 | Weser-Ems | 13,113 | +10% |
| 29 | Mecklenburg-Vorpommern | 12,429 | +65% |
| 30 | Lüneburg | 11,902 | +8.5% |
| 31 | Península de Setúbal | 11,873 | +44.3% |
| 32 | Gelderland | 11,709 | -14.1% |
| 33 | Vidurio ir vakarų Lietuvos regionas | 11,604 | +223.1% |
| 34 | Poitou-Charentes | 11,204 | +14.5% |
| 35 | Liguria | 10,650 | +139.2% |
| 36 | Niederösterreich | 10,615 | +11.2% |
| 37 | Yuzhen tsentralen | 10,329 | +194.1% |
| 38 | Basque Country | 10,220 | -50.7% |
| 39 | Helsinki-Uusimaa | 9,798 | -36.1% |
| 40 | Praha | 9,715 | -24.6% |
| 41 | Vzhodna Slovenija | 9,369 | +29.7% |
| 42 | Prov. Oost-Vlaanderen | 9,318 | -10.1% |
| 43 | Darmstadt | 9,246 | -55.6% |
| 44 | Sostinės regionas | 9,171 | +22.4% |
| 45 | Zahodna Slovenija | 8,996 | +0.1% |
| 46 | Aragon | 8,962 | -35.4% |
| 47 | Östra Mellansverige | 8,862 | -41.3% |
| 48 | Castile and León | 8,792 | +12.7% |
| 49 | Düsseldorf | 8,650 | -51.3% |
| 50 | Kýpros | 8,539 | -4.3% |
| 51 | Wien | 8,503 | -14.2% |
| 52 | Sydsverige | 8,493 | -27.6% |
| 53 | Bucureşti-Ilfov Estimated | 8,414 | +35.8% |
| 54 | Koblenz | 8,046 | +10.6% |
| 55 | Schwaben | 8,031 | -35.1% |
| 56 | Freiburg | 7,915 | +0.4% |
| 57 | Southern | 7,899 | -43.1% |
| 58 | Region of Murcia | 7,888 | -47.7% |
| 59 | Västsverige | 7,803 | -49.3% |
| 60 | Nyugat-Dunántúl | 7,753 | +6.8% |
| 61 | Leipzig | 7,550 | -8.3% |
| 62 | Prov. Vlaams-Brabant | 7,109 | -21.2% |
| 63 | Luxembourg | 6,772 | -34% |
| 64 | Prov. West-Vlaanderen | 6,713 | -7.8% |
| 65 | Prov. Antwerpen | 6,555 | -33.1% |
| 66 | Hannover | 6,082 | +21.6% |
| 67 | Canary Islands | 5,992 | -75.6% |
| 68 | Basse-Normandie | 5,899 | +35% |
| 69 | Oberbayern | 5,866 | -68.6% |
| 70 | Niederbayern | 5,769 | -24.5% |
| 71 | Balearic Islands | 5,703 | -66.8% |
| 72 | Bratislavský kraj | 5,647 | -28.4% |
| 73 | Oberösterreich | 5,460 | -19.3% |
| 74 | Região Autónoma dos Açores | 5,424 | +1,043.3% |
| 75 | Noord-Holland | 5,409 | -73% |
| 76 | Münster | 5,339 | -0.9% |
| 77 | Rheinhessen-Pfalz | 5,136 | -42% |
| 78 | Severoiztochen | 4,922 | +148.6% |
| 79 | Stockholm | 4,872 | -75.5% |
| 80 | Közép-Dunántúl | 4,861 | -33.3% |
| 81 | Cantabria | 4,757 | +36.4% |
| 82 | Auvergne | 4,657 | +85.5% |
| 83 | Jihovýchod | 4,634 | +20% |
| 84 | Corse | 4,607 | +27.1% |
| 85 | Overijssel | 4,590 | -12.2% |
| 86 | Northern and Western | 4,532 | -37.6% |
| 87 | Yugozapaden | 4,294 | +234.6% |
| 88 | Friuli-Venezia Giulia | 4,266 | +62.5% |
| 89 | Dresden | 4,224 | -18.4% |
| 90 | Steiermark | 4,198 | -17.1% |
| 91 | Prov. Hainaut | 4,176 | -24.2% |
| 92 | Emilia-Romagna | 4,168 | -82.6% |
| 93 | Yugoiztochen | 4,067 | +151.2% |
| 94 | Região Autónoma da Madeira | 4,063 | +268% |
| 95 | Alentejo | 3,896 | +57.7% |
| 96 | Prov. Limburg (BE) | 3,880 | -18% |
| 97 | Bourgogne | 3,850 | +151.8% |
| 98 | Asturias | 3,843 | -11.1% |
| 99 | Tübingen | 3,796 | -46.9% |
| 100 | Eesti | 3,781 | -29.6% |
| 101 | Navarre | 3,751 | -48.7% |
| 102 | Alsace | 3,733 | -31.5% |
| 103 | Limburg (NL) | 3,644 | -17.2% |
| 104 | Sjælland | 3,598 | +39.2% |
| 105 | Sachsen-Anhalt | 3,593 | +67.7% |
| 106 | Mittelfranken | 3,557 | -48.1% |
| 107 | Etelä-Suomi | 3,531 | +314.4% |
| 108 | Lorraine | 3,530 | +1,757.3% |
| 109 | Länsi-Suomi | 3,529 | +88.7% |
| 110 | Limousin | 3,456 | +102.9% |
| 111 | Köln | 3,383 | -77% |
| 112 | Kassel | 3,289 | -15.9% |
| 113 | Gießen | 3,201 | -22.8% |
| 114 | Arnsberg | 3,181 | -66.1% |
| 115 | Hamburg | 3,102 | +18.9% |
| 116 | Flevoland | 3,074 | -24.1% |
| 117 | Kärnten | 3,054 | +60.7% |
| 118 | Jihozápad | 3,048 | -60.5% |
| 119 | Burgenland | 3,002 | +38.7% |
| 120 | Severozapaden | 2,995 | +143.6% |
| 121 | Småland med öarna | 2,963 | -32.5% |
| 122 | Trier | 2,843 | -15.7% |
| 123 | Prov. Liège | 2,760 | -26.4% |
| 124 | Midtjylland | 2,757 | -4.5% |
| 125 | Saarland | 2,733 | +41.8% |
| 126 | Utrecht | 2,722 | -65.6% |
| 127 | Unterfranken | 2,717 | -0.8% |
| 128 | Franche-Comté | 2,649 | +298% |
| 129 | Zeeland | 2,627 | +171.4% |
| 130 | Provincia Autonoma di Bolzano/Bozen | 2,524 | +62.7% |
| 131 | Drenthe | 2,505 | -1.7% |
| 131 | Hovedstaden | 2,505 | -22.9% |
| 133 | Piemonte | 2,504 | -68% |
| 134 | Oberpfalz | 2,440 | -41.5% |
| 135 | Dél-Dunántúl | 2,387 | +917.5% |
| 136 | Extremadura | 2,385 | +263.6% |
| 137 | Prov. Luxembourg (BE) | 2,196 | -7.9% |
| 138 | La Rioja | 2,123 | -38.9% |
| 139 | Prov. Namur | 2,094 | -25.7% |
| 140 | Friesland (NL) | 2,090 | -19.1% |
| 141 | Detmold | 2,071 | -39.7% |
| 142 | Prov. Brabant wallon | 2,025 | -10.7% |
| 143 | Chemnitz | 1,905 | +76.1% |
| 144 | Severen tsentralen | 1,884 | +120.4% |
| 145 | Groningen | 1,831 | -21.6% |
| 146 | Norra Mellansverige | 1,803 | -41.6% |
| 147 | Tirol | 1,741 | +5.9% |
| 148 | Salzburg | 1,738 | -18.8% |
| 149 | Centre - Val de Loire | 1,714 | -41.5% |
| 150 | Oberfranken | 1,669 | +0.7% |
| 151 | Braunschweig | 1,577 | -62.8% |
| 152 | Övre Norrland | 1,345 | +7.7% |
| 153 | Syddanmark | 1,324 | +291.7% |
| 154 | Vorarlberg | 1,285 | -18.9% |
| 155 | Mayotte | 1,126 | 0% |
| 156 | Thüringen | 1,094 | -60.7% |
| 157 | Umbria | 1,064 | -3.9% |
| 158 | Karlsruhe | 1,005 | -88.5% |
| 159 | Malta | 947 | -95.5% |
| 160 | Severovýchod | 928 | -79.5% |
| 161 | Nordjylland | 806 | +94.2% |
| 162 | Západné Slovensko | 764 | +638% |
| 163 | Mellersta Norrland | 612 | -22.4% |
| 164 | Pohjois- ja Itä-Suomi | 393 | +116.1% |
| 165 | Észak-Magyarország | 356 | +112.8% |
| 166 | Åland | 275 | +192.6% |
| 167 | Haute-Normandie | 211 | +107.2% |
| 168 | Nord-Vest Estimated | 148 | +132% |
| 169 | Bremen | 111 | +109% |
| 170 | Valle d’Aosta/Vallée d’Aoste | 93 | +236.8% |
| 171 | La Réunion | 86 | +101.4% |
| 172 | Ionia Nisia | 13 | -94.1% |
| 173 | Martinique | -421 | +87.9% |
| 174 | Střední Morava | -427 | -286.5% |
| 175 | Melilla | -468 | +16.4% |
| 176 | Dél-Alföld | -540 | -557.6% |
| 177 | Ceuta | -626 | +29.6% |
| 178 | Provincia Autonoma di Trento | -781 | -130.8% |
| 179 | Guadeloupe | -839 | +71% |
| 180 | Lazio | -890 | -266.4% |
| 181 | Stredné Slovensko | -934 | +55.2% |
| 182 | Ipeiros | -1,016 | -243.7% |
| 183 | Champagne-Ardenne | -1,083 | -235.3% |
| 184 | Severozápad | -1,124 | -168.7% |
| 185 | Kriti | -1,126 | -671.6% |
| 186 | Východné Slovensko | -1,130 | +44.2% |
| 187 | Dytiki Makedonia | -1,136 | -5.3% |
| 188 | Dytiki Elláda | -1,233 | -44.7% |
| 189 | Nord-Pas de Calais | -1,501 | +88.6% |
| 190 | Anatoliki Makedonia, Thraki | -1,794 | -322.1% |
| 191 | Sjeverna Hrvatska | -1,891 | |
| 192 | Észak-Alföld | -1,917 | +64% |
| 193 | Thessalia | -1,942 | -122.7% |
| 194 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | -1,953 | -2,812.5% |
| 195 | Puglia | -1,981 | +81.4% |
| 196 | Stuttgart | -2,085 | -121.5% |
| 197 | Notio Aigaio | -2,133 | -391.8% |
| 198 | Peloponnisos | -2,175 | -49.5% |
| 199 | Vest Estimated | -2,224 | -972.2% |
| 200 | Centru Estimated | -2,449 | -449.9% |
| 201 | Latvija | -3,150 | +6.3% |
| 202 | Voreio Aigaio | -3,367 | -187% |
| 203 | Grad Zagreb | -3,452 | |
| 204 | Sterea Elláda | -3,554 | -618% |
| 205 | Moravskoslezsko | -3,568 | -238.5% |
| 206 | Molise | -3,886 | -152.7% |
| 207 | Marche | -3,901 | -3,196% |
| 208 | Sud-Vest Oltenia Estimated | -4,027 | +28.8% |
| 209 | Picardie | -4,869 | +12.2% |
| 210 | Basilicata | -4,936 | -97.7% |
| 211 | Abruzzo | -5,139 | -768.1% |
| 212 | Guyane | -5,517 | -52% |
| 213 | Kentriki Makedonia | -6,002 | -373.7% |
| 214 | Jadranska Hrvatska | -6,420 | -124.7% |
| 215 | Berlin | -6,454 | -132.4% |
| 216 | Panonska Hrvatska | -7,544 | |
| 217 | Sud-Muntenia Estimated | -7,652 | +31.4% |
| 218 | Sud-Est Estimated | -8,864 | -38.7% |
| 219 | Grande Lisboa | -8,962 | -156.7% |
| 220 | Nord-Est Estimated | -9,300 | -4% |
| 221 | Sardegna | -11,030 | -342.8% |
| 222 | Budapest | -18,629 | -3,917.4% |
| 223 | Pomorskie Series break | -19,301 | -358.5% |
| 224 | Dolnośląskie Series break | -19,384 | -450.3% |
| 225 | Wielkopolskie Series break | -20,013 | -735.9% |
| 226 | Norte | -20,512 | -227.4% |
| 227 | Sicilia | -23,522 | -20.8% |
| 228 | Calabria | -26,451 | -116.1% |
| 229 | Algarve | -26,561 | -494.8% |
| 230 | Opolskie Series break | -27,166 | -1,593.6% |
| 231 | Lubuskie Series break | -31,545 | -23,466.7% |
| 232 | Ile-de-France | -32,415 | +63.5% |
| 233 | Małopolskie Series break | -43,966 | -690.5% |
| 234 | Łódzkie Series break | -46,820 | -2,986.4% |
| 235 | Podlaskie Series break | -47,803 | -3,032.6% |
| 236 | Zachodniopomorskie Series break | -54,249 | -132,214.6% |
| 237 | Świętokrzyskie Series break | -56,429 | -1,649.2% |
| 238 | Mazowiecki regionalny Series break | -70,627 | -1,122.6% |
| 239 | Warmińsko-mazurskie Series break | -71,530 | -1,991.5% |
| 240 | Campania | -74,027 | -252.2% |
| 241 | Kujawsko-pomorskie Series break | -74,408 | -4,269.2% |
| 242 | Lubelskie Series break | -97,902 | -1,756.7% |
| 243 | Podkarpackie Series break | -100,585 | -4,327.2% |
| 244 | Śląskie Series break | -143,356 | -6,187.5% |
Other periods
About this ranking
Population change during the year minus natural change (live births minus deaths), including statistical adjustment. A negative value means the population fell by more than natural change explains (Eurostat demographic balance).
Eurostat calculates this as a residual, not by counting immigrants and emigrants, so it also absorbs census revisions and other statistical adjustments. For the EU it reflects migration to and from countries outside the EU. net_migration (World Bank, UN estimate) uses a different method, so the two series differ.
Every value in the ranking comes from the same publisher and the same period, so the regions are compared on one definition. Equal values share a rank.
How to cite
Eurostat. Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Retrieved 2026-10-12.Citation styles
APA 7
Eurostat, European Commission. (2026). Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3) (EU regions (NUTS 2) by net migration including statistical adjustment, 2020) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table
MLA 9
Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), EU regions (NUTS 2) by net migration including statistical adjustment, 2020. Eurostat, European Commission, 21 July 2026, https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/eu-regions?period=2020. Accessed 12 Oct. 2026.
Chicago (author-date)
Eurostat, European Commission. 2026. Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). EU regions (NUTS 2) by net migration including statistical adjustment, 2020. Dataset. Accessed October 12, 2026. https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Also distributed by Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/eu-regions?period=2020.
Harvard
Eurostat, European Commission (2026) Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), EU regions (NUTS 2) by net migration including statistical adjustment, 2020 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table, via Invokely: https://invokely.ai/rankings/net-migration-including-statistical-adjustment/eu-regions?period=2020 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2020,
author = {{Eurostat, European Commission}},
title = {{Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo\_r\_gind3): EU regions (NUTS 2) by net migration including statistical adjustment, 2020}},
year = {2026},
howpublished = {Data set},
url = {https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/eu-regions?period=2020. Publisher attribution: Eurostat. Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo\_r\_gind3). https://ec.europa.eu/eurostat/databrowser/view/demo\_r\_gind3/default/table. Retrieved 2026-10-12.},
}
RIS
TY - DATA
AU - Eurostat, European Commission
TI - Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3): EU regions (NUTS 2) by net migration including statistical adjustment, 2020
PY - 2026
DA - 2026/07/21
PB - Eurostat, European Commission
DB - Invokely
UR - https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table
L2 - https://invokely.ai/rankings/net-migration-including-statistical-adjustment/eu-regions?period=2020
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/eu-regions?period=2020.
N1 - Publisher attribution: Eurostat. Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Retrieved 2026-10-12.
ER -
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
Rank EU regions by net migration including statistical adjustment using official data, and cite the source.
rank_places {"indicator":"net_migration_plus_adjustment","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment&level=region&within=European%20Union%20(27)&limit=10Questions
Which region has the highest net migration including statistical adjustment?
Warszawski stołeczny, with 162,349 in 2020, according to Eurostat, European Commission.
Which region has the lowest net migration including statistical adjustment?
Śląskie, with -143,356 in 2020.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.
Net migration including statistical adjustment: other rankings
- Regions of Romania (NUTS 2)
- Regions of Netherlands (NUTS 2)
- Regions of France (NUTS 2)
- NUTS 3 areas of Bulgaria
- NUTS 3 areas of Lithuania
- NUTS 3 areas of Finland