EU regions (NUTS 2) by net migration rate including statistical adjustment
Warszawski stołeczny had the highest net migration rate including statistical adjustment of 244 regions in 2020, at 51.3 per 1,000 inhabitants. Algarve had the lowest, at -58.8 per 1,000 inhabitants. The median was 2.5 per 1,000 inhabitants and the figure for the European Union (27) was 0.3 per 1,000 inhabitants. Source: Eurostat, European Commission.
Top 40 regions, 2020
Full ranking
| Rank | Regions | 2020 | Change on 2019 |
|---|---|---|---|
| 1 | Warszawski stołeczny Series break | 51.3 | +43.2 pts |
| 2 | Região Autónoma dos Açores | 22.6 | +25 pts |
| 3 | Oeste e Vale do Tejo | 17.1 | +9.8 pts |
| 4 | Região Autónoma da Madeira | 16.1 | +11.7 pts |
| 5 | Península de Setúbal | 14.7 | +4.4 pts |
| 6 | Corse | 13.3 | +2.7 pts |
| 7 | Pest | 11.8 | -3.1 pts |
| 8 | Sostinės regionas | 11.4 | +2 pts |
| 9 | Luxembourg | 10.7 | -5.9 pts |
| 10 | Burgenland | 10.2 | +2.8 pts |
| 11 | Střední Čechy | 9.9 | -0.6 pts |
| 12 | Aquitaine | 9.8 | +2.9 pts |
| 12 | Brandenburg | 9.8 | +0.8 pts |
| 14 | Kýpros | 9.4 | -0.6 pts |
| 15 | Åland | 9.2 | +6 pts |
| 15 | Languedoc-Roussillon | 9.2 | +1.6 pts |
| 17 | Zahodna Slovenija | 9 | -0.1 pts |
| 18 | Centro (PT) | 8.6 | +1.7 pts |
| 18 | Midi-Pyrénées | 8.6 | +1.8 pts |
| 20 | Vzhodna Slovenija | 8.5 | +1.9 pts |
| 21 | Bratislavský kraj | 8.4 | -3.5 pts |
| 22 | Alentejo | 8.3 | +3.1 pts |
| 23 | Cantabria | 8.1 | +2.1 pts |
| 24 | Nyugat-Dunántúl | 7.9 | +0.5 pts |
| 24 | Yuzhen tsentralen | 7.9 | +16.2 pts |
| 26 | Mecklenburg-Vorpommern | 7.7 | +3 pts |
| 27 | Castilla-La Mancha | 7.6 | +0.1 pts |
| 27 | Prov. Luxembourg (BE) | 7.6 | -0.7 pts |
| 29 | Bretagne | 7.5 | +0.7 pts |
| 30 | Eastern and Midland | 7.4 | -1.9 pts |
| 31 | Praha | 7.3 | -2.5 pts |
| 32 | Flevoland | 7.2 | -2.5 pts |
| 32 | Leipzig | 7.2 | -0.7 pts |
| 34 | Liguria | 7 | +4.1 pts |
| 34 | Toscana | 7 | +3.9 pts |
| 36 | Lüneburg | 6.9 | +0.5 pts |
| 37 | Valencian Community | 6.8 | -5.9 pts |
| 37 | Zeeland | 6.8 | +4.3 pts |
| 39 | Aragon | 6.7 | -3.8 pts |
| 39 | La Rioja | 6.7 | -4.3 pts |
| 41 | Catalonia | 6.6 | -6.3 pts |
| 42 | Niederösterreich | 6.3 | +0.6 pts |
| 43 | Schleswig-Holstein | 6.2 | +0.2 pts |
| 44 | Poitou-Charentes | 6.1 | +0.7 pts |
| 44 | Prov. Oost-Vlaanderen | 6.1 | -0.7 pts |
| 44 | Prov. Vlaams-Brabant | 6.1 | -1.7 pts |
| 47 | Severoiztochen | 5.9 | +17.9 pts |
| 48 | Helsinki-Uusimaa | 5.8 | -3.3 pts |
| 48 | Provence-Alpes-Côte d’Azur | 5.8 | +3.3 pts |
| 48 | Vidurio ir vakarų Lietuvos regionas | 5.8 | +4 pts |
| 51 | Navarre | 5.7 | -5.4 pts |
| 52 | Gelderland | 5.6 | -1 pts |
| 52 | Prov. West-Vlaanderen | 5.6 | -0.5 pts |
| 54 | Noord-Brabant | 5.5 | -1.4 pts |
| 54 | Sydsverige | 5.5 | -2.2 pts |
| 56 | Kärnten | 5.4 | +2 pts |
| 56 | Koblenz | 5.4 | +0.5 pts |
| 58 | Trier | 5.3 | -1 pts |
| 59 | Region of Murcia | 5.2 | -4.8 pts |
| 59 | Weser-Ems | 5.2 | +0.5 pts |
| 61 | Drenthe | 5.1 | -0.1 pts |
| 61 | Northern and Western | 5.1 | -3.2 pts |
| 61 | Östra Mellansverige | 5.1 | -3.7 pts |
| 61 | Pays de la Loire | 5.1 | -0.6 pts |
| 65 | Prov. Brabant wallon | 5 | -0.6 pts |
| 66 | Galicia | 4.9 | -1.7 pts |
| 67 | Balearic Islands | 4.8 | -9.9 pts |
| 67 | Limousin | 4.8 | +2.5 pts |
| 69 | Provincia Autonoma di Bolzano/Bozen | 4.7 | +1.8 pts |
| 69 | Southern | 4.7 | -3.7 pts |
| 71 | Basque Country | 4.6 | -4.8 pts |
| 71 | Közép-Dunántúl | 4.6 | -2.3 pts |
| 71 | Niederbayern | 4.6 | -1.6 pts |
| 74 | Prov. Limburg (BE) | 4.4 | -1 pts |
| 74 | Wien | 4.4 | -0.8 pts |
| 76 | Andalusia | 4.3 | -1.6 pts |
| 76 | Severozapaden | 4.3 | +13.9 pts |
| 76 | Sjælland | 4.3 | +1.2 pts |
| 79 | Prov. Namur | 4.2 | -1.5 pts |
| 79 | Schwaben | 4.2 | -2.3 pts |
| 79 | Yugoiztochen | 4.2 | +12.4 pts |
| 82 | Basse-Normandie | 4 | +1 pts |
| 82 | Mayotte | 4 | -0.1 pts |
| 84 | Overijssel | 3.9 | -0.6 pts |
| 85 | Asturias | 3.8 | -0.4 pts |
| 85 | Attiki | 3.8 | -0.3 pts |
| 85 | Västsverige | 3.8 | -3.7 pts |
| 88 | Castile and León | 3.7 | +0.5 pts |
| 88 | Oberösterreich | 3.7 | -0.9 pts |
| 88 | Rhône-Alpes | 3.7 | +1.6 pts |
| 91 | Bucureşti-Ilfov Estimated | 3.6 | +0.9 pts |
| 91 | Zuid-Holland | 3.6 | -3.5 pts |
| 93 | Freiburg | 3.5 | 0 pts |
| 93 | Friuli-Venezia Giulia | 3.5 | +1.3 pts |
| 93 | Prov. Antwerpen | 3.5 | -1.8 pts |
| 96 | Auvergne | 3.4 | +1.6 pts |
| 96 | Småland med öarna | 3.4 | -1.7 pts |
| 96 | Steiermark | 3.4 | -0.7 pts |
| 99 | Limburg (NL) | 3.3 | -0.6 pts |
| 100 | Friesland (NL) | 3.2 | -0.8 pts |
| 100 | Veneto | 3.2 | +1.2 pts |
| 100 | Vorarlberg | 3.2 | -0.8 pts |
| 103 | Community of Madrid | 3.1 | -10.9 pts |
| 103 | Etelä-Suomi | 3.1 | +2.4 pts |
| 103 | Gießen | 3.1 | -0.9 pts |
| 103 | Groningen | 3.1 | -0.9 pts |
| 103 | Prov. Hainaut | 3.1 | -1 pts |
| 103 | Salzburg | 3.1 | -0.7 pts |
| 109 | Canary Islands | 2.8 | -8.5 pts |
| 109 | Eesti | 2.8 | -1.2 pts |
| 109 | Hannover | 2.8 | +0.5 pts |
| 109 | Saarland | 2.8 | +0.9 pts |
| 113 | Dél-Dunántúl | 2.7 | +3 pts |
| 113 | Dresden | 2.7 | -0.5 pts |
| 113 | Jihovýchod | 2.7 | +0.4 pts |
| 113 | Kassel | 2.7 | -0.5 pts |
| 113 | Severen tsentralen | 2.7 | +15.5 pts |
| 118 | Länsi-Suomi | 2.6 | +1.2 pts |
| 118 | Övre Norrland | 2.6 | +0.2 pts |
| 120 | Jihozápad | 2.5 | -3.8 pts |
| 120 | Prov. Liège | 2.5 | -0.9 pts |
| 120 | Rheinhessen-Pfalz | 2.5 | -1.8 pts |
| 123 | Bourgogne | 2.4 | +1.5 pts |
| 124 | Darmstadt | 2.3 | -2.9 pts |
| 124 | Tirol | 2.3 | +0.1 pts |
| 126 | Extremadura | 2.2 | +1.6 pts |
| 126 | Franche-Comté | 2.2 | +3.3 pts |
| 126 | Oberpfalz | 2.2 | -1.6 pts |
| 129 | Midtjylland | 2.1 | -0.1 pts |
| 129 | Norra Mellansverige | 2.1 | -1.5 pts |
| 129 | Unterfranken | 2.1 | 0 pts |
| 129 | Yugozapaden | 2.1 | +3.7 pts |
| 133 | Lombardia | 2 | -2.4 pts |
| 133 | Mittelfranken | 2 | -1.9 pts |
| 133 | Münster | 2 | -0.1 pts |
| 133 | Stockholm | 2 | -6.4 pts |
| 133 | Tübingen | 2 | -1.8 pts |
| 133 | Utrecht | 2 | -3.9 pts |
| 139 | Alsace | 1.9 | -1 pts |
| 139 | Noord-Holland | 1.9 | -5.1 pts |
| 141 | Malta | 1.8 | -40.3 pts |
| 142 | Düsseldorf | 1.7 | -1.7 pts |
| 142 | Hamburg | 1.7 | +0.3 pts |
| 144 | Mellersta Norrland | 1.6 | -0.5 pts |
| 144 | Oberfranken | 1.6 | 0 pts |
| 144 | Sachsen-Anhalt | 1.6 | +0.6 pts |
| 147 | Lorraine | 1.5 | +1.6 pts |
| 148 | Hovedstaden | 1.4 | -0.4 pts |
| 148 | Nordjylland | 1.4 | +0.7 pts |
| 150 | Chemnitz | 1.3 | +0.5 pts |
| 151 | Oberbayern | 1.2 | -2.8 pts |
| 151 | Umbria | 1.2 | -0.1 pts |
| 153 | Syddanmark | 1.1 | +0.8 pts |
| 154 | Braunschweig | 1 | -1.7 pts |
| 154 | Detmold | 1 | -0.7 pts |
| 156 | Arnsberg | 0.9 | -1.7 pts |
| 156 | Emilia-Romagna | 0.9 | -4.5 pts |
| 158 | Köln | 0.8 | -2.5 pts |
| 159 | Centre - Val de Loire | 0.7 | -0.4 pts |
| 159 | Valle d’Aosta/Vallée d’Aoste | 0.7 | +1.2 pts |
| 161 | Piemonte | 0.6 | -1.2 pts |
| 161 | Severovýchod | 0.6 | -2.4 pts |
| 163 | Thüringen | 0.5 | -0.8 pts |
| 164 | Karlsruhe | 0.4 | -2.7 pts |
| 164 | Západné Slovensko | 0.4 | +0.5 pts |
| 166 | Észak-Magyarország | 0.3 | +2.8 pts |
| 166 | Pohjois- ja Itä-Suomi | 0.3 | +2.2 pts |
| 168 | Bremen | 0.2 | +2 pts |
| 169 | Haute-Normandie | 0.1 | +1.7 pts |
| 169 | Ionia Nisia | 0.1 | -1 pts |
| 169 | La Réunion | 0.1 | +7.3 pts |
| 169 | Nord-Vest Estimated | 0.1 | +0.3 pts |
| 173 | Lazio | -0.2 | -0.3 pts |
| 174 | Dél-Alföld | -0.4 | -0.5 pts |
| 174 | Nord-Pas de Calais | -0.4 | +2.8 pts |
| 174 | Střední Morava | -0.4 | -0.6 pts |
| 177 | Puglia | -0.5 | +2.2 pts |
| 177 | Stuttgart | -0.5 | -2.8 pts |
| 179 | Stredné Slovensko | -0.7 | +0.9 pts |
| 179 | Východné Slovensko | -0.7 | +0.5 pts |
| 181 | Champagne-Ardenne | -0.8 | -0.6 pts |
| 182 | Severozápad | -1 | -2.5 pts |
| 183 | Centru Estimated | -1.1 | -1.4 pts |
| 184 | Martinique | -1.2 | +8.4 pts |
| 185 | Észak-Alföld | -1.3 | +2.4 pts |
| 185 | Vest Estimated | -1.3 | -1.4 pts |
| 187 | Provincia Autonoma di Trento | -1.4 | -6.1 pts |
| 188 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | -1.6 | -1.7 pts |
| 189 | Latvija | -1.7 | +0.1 pts |
| 190 | Berlin | -1.8 | -7.2 pts |
| 190 | Kriti | -1.8 | -2.1 pts |
| 192 | Dytiki Elláda | -1.9 | -0.6 pts |
| 193 | Guadeloupe | -2 | +4.9 pts |
| 194 | Sud-Vest Oltenia Estimated | -2.1 | +0.8 pts |
| 195 | Sjeverna Hrvatska | -2.4 | |
| 196 | Picardie | -2.5 | +0.4 pts |
| 197 | Ile-de-France | -2.6 | +4.6 pts |
| 197 | Marche | -2.6 | -2.7 pts |
| 199 | Sud-Muntenia Estimated | -2.7 | +1.1 pts |
| 200 | Thessalia | -2.8 | -1.6 pts |
| 201 | Nord-Est Estimated | -2.9 | -0.1 pts |
| 202 | Moravskoslezsko | -3 | -2.1 pts |
| 203 | Anatoliki Makedonia, Thraki | -3.2 | -2.5 pts |
| 203 | Ipeiros | -3.2 | -5.4 pts |
| 205 | Kentriki Makedonia | -3.3 | -4.5 pts |
| 206 | Sud-Est Estimated | -3.7 | -1 pts |
| 207 | Abruzzo | -4 | -3.5 pts |
| 207 | Peloponnisos | -4 | -1.4 pts |
| 209 | Grande Lisboa | -4.3 | -11.9 pts |
| 210 | Dytiki Makedonia | -4.4 | -0.3 pts |
| 211 | Grad Zagreb | -4.5 | |
| 212 | Sicilia | -4.8 | -0.8 pts |
| 213 | Jadranska Hrvatska | -4.9 | -2.7 pts |
| 214 | Melilla | -5.4 | +1.1 pts |
| 215 | Norte | -5.7 | -10.2 pts |
| 216 | Wielkopolskie Series break | -5.8 | -6.7 pts |
| 217 | Notio Aigaio | -6.5 | -8.7 pts |
| 218 | Dolnośląskie Series break | -6.8 | -8.7 pts |
| 219 | Sardegna | -6.9 | -5.4 pts |
| 219 | Sterea Elláda | -6.9 | -6 pts |
| 221 | Panonska Hrvatska | -7.3 | |
| 222 | Ceuta | -7.4 | +3.1 pts |
| 223 | Pomorskie Series break | -8.4 | -11.6 pts |
| 224 | Basilicata | -9 | -4.5 pts |
| 225 | Budapest | -10.9 | -11.2 pts |
| 226 | Campania | -13.1 | -9.4 pts |
| 226 | Małopolskie Series break | -13.1 | -15.3 pts |
| 226 | Molise | -13.1 | -8 pts |
| 229 | Calabria | -14.1 | -7.7 pts |
| 230 | Voreio Aigaio | -16.9 | -36.3 pts |
| 231 | Guyane | -19.3 | -6.5 pts |
| 232 | Łódzkie Series break | -19.4 | -18.8 pts |
| 233 | Opolskie Series break | -29.3 | -27.6 pts |
| 234 | Mazowiecki regionalny Series break | -31 | -28.5 pts |
| 235 | Lubuskie Series break | -32.1 | -32.2 pts |
| 236 | Śląskie Series break | -32.6 | -32.1 pts |
| 237 | Zachodniopomorskie Series break | -33.1 | -33.1 pts |
| 238 | Kujawsko-pomorskie Series break | -37 | -36.2 pts |
| 239 | Podlaskie Series break | -42.5 | -41.2 pts |
| 240 | Świętokrzyskie Series break | -47.6 | -45 pts |
| 241 | Lubelskie Series break | -48.1 | -45.6 pts |
| 242 | Podkarpackie Series break | -49.5 | -48.4 pts |
| 243 | Warmińsko-mazurskie Series break | -52.6 | -50.2 pts |
| 244 | Algarve | -58.8 | -73.3 pts |
Other periods
About this ranking
Net migration including statistical adjustment during the year per 1,000 average residents (Eurostat crude rate of net migration plus statistical adjustment).
Comparable across EU countries and regions. Eurostat derives the net figure as a residual of population change, so it includes census revisions and other statistical adjustments.
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, crude rate of 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, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3) (EU regions (NUTS 2) by net migration rate 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, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), EU regions (NUTS 2) by net migration rate 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-rate/eu-regions?period=2020. Accessed 12 Oct. 2026.
Chicago (author-date)
Eurostat, European Commission. 2026. Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). EU regions (NUTS 2) by net migration rate 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-rate/eu-regions?period=2020.
Harvard
Eurostat, European Commission (2026) Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), EU regions (NUTS 2) by net migration rate 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-rate/eu-regions?period=2020 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2020,
author = {{Eurostat, European Commission}},
title = {{Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo\_r\_gind3): EU regions (NUTS 2) by net migration rate 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-rate/eu-regions?period=2020. Publisher attribution: Eurostat. Population change, crude rate of 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, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3): EU regions (NUTS 2) by net migration rate 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-rate/eu-regions?period=2020
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-migration-rate/eu-regions?period=2020.
N1 - Publisher attribution: Eurostat. Population change, crude rate of 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 rate including statistical adjustment using official data, and cite the source.
rank_places {"indicator":"net_migration_plus_adjustment_rate","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment_rate&level=region&within=European%20Union%20(27)&limit=10
Questions
Which region has the highest net migration rate including statistical adjustment?
Warszawski stołeczny, with 51.3 per 1,000 inhabitants in 2020, according to Eurostat, European Commission.
Which region has the lowest net migration rate including statistical adjustment?
Algarve, with -58.8 per 1,000 inhabitants 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, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.
Net migration rate including statistical adjustment: other rankings
- Regions of Hungary (NUTS 2)
- Autonomous communities of Spain
- Regions of France (NUTS 2)
- NUTS 3 areas of Sweden
- NUTS 3 areas of Czechia
- NUTS 3 areas of Belgium
EU regions (NUTS 2): more rankings
- Population density
- Early leavers from education and training, ages 18 to 24
- Median age
- Tertiary education attainment, ages 25 to 64
- Young people not in employment, education or training (NEET), ages 15 to 29
- House price index
- Average home mortgage amount
- Death rate from respiratory diseases (age-standardised)