EU regions (NUTS 2) by net migration including statistical adjustment
Berlin had the highest net migration including statistical adjustment of 241 regions in 2016, at 47,763. Ile-de-France had the lowest, at -45,614. The median was 1,684 and the figure for the European Union (27) was 807,875. Source: Eurostat, European Commission.
Top 40 regions, 2016
Full ranking
| Rank | Regions | 2016 | Change on 2015 |
|---|---|---|---|
| 1 | Berlin | 47,763 | +2.9% |
| 2 | Oberbayern | 36,696 | -43.3% |
| 3 | Catalonia | 34,467 | +142.4% |
| 4 | Schleswig-Holstein | 31,671 | -16.6% |
| 5 | Community of Madrid | 29,785 | +68.2% |
| 6 | Düsseldorf | 27,535 | -66% |
| 7 | Stuttgart | 26,450 | -57.4% |
| 8 | Darmstadt | 26,420 | -56.1% |
| 9 | Lombardia | 24,685 | +29.9% |
| 10 | Stockholm | 24,077 | +21.3% |
| 11 | Västsverige | 23,159 | +45.3% |
| 12 | Wien | 22,583 | -42.8% |
| 13 | Östra Mellansverige | 21,988 | +57% |
| 14 | Aquitaine | 21,847 | -6.2% |
| 15 | Lazio | 21,827 | -18.5% |
| 16 | Eastern and Midland | 19,753 | +34.5% |
| 17 | Brandenburg | 19,678 | -49% |
| 18 | Sydsverige | 19,270 | +46.7% |
| 19 | Karlsruhe | 19,197 | -56.7% |
| 20 | Emilia-Romagna | 19,087 | +13.1% |
| 21 | Hamburg | 18,817 | -16% |
| 22 | Köln | 18,614 | -71.7% |
| 23 | Zuid-Holland | 18,284 | +39.3% |
| 24 | Noord-Holland | 18,029 | +9.6% |
| 25 | Midi-Pyrénées | 17,770 | +59.8% |
| 26 | Warszawski stołeczny | 16,485 | +3.7% |
| 27 | Languedoc-Roussillon | 16,437 | -13.4% |
| 28 | Rheinhessen-Pfalz | 15,931 | -33.1% |
| 29 | Freiburg | 15,525 | -56.1% |
| 30 | Bretagne | 14,137 | +8.9% |
| 31 | Pest | 13,676 | +40.3% |
| 32 | Niederösterreich | 13,599 | -30.5% |
| 33 | Helsinki-Uusimaa | 12,915 | +17.6% |
| 34 | Weser-Ems | 12,893 | -68.2% |
| 35 | Pays de la Loire | 12,756 | +16.6% |
| 36 | Leipzig | 12,496 | -35.9% |
| 37 | Mittelfranken | 12,493 | -53% |
| 38 | Hannover | 12,413 | -60.8% |
| 39 | Luxembourg Series break | 12,335 | +10.5% |
| 40 | Småland med öarna | 12,311 | +64.1% |
| 41 | Southern | 12,239 | +727.6% |
| 42 | Schwaben | 12,220 | -54.5% |
| 43 | Noord-Brabant | 12,131 | +44.8% |
| 44 | Hovedstaden | 11,238 | -26.3% |
| 45 | Gelderland | 11,175 | +56.6% |
| 46 | Canary Islands | 10,673 | +887.3% |
| 47 | Toscana | 10,530 | +101.2% |
| 48 | Norra Mellansverige | 10,292 | +64.1% |
| 49 | Praha | 10,271 | +70.3% |
| 50 | Tübingen | 10,244 | -64.8% |
| 51 | Střední Čechy | 10,053 | +0.3% |
| 52 | Niederbayern | 9,367 | -47.1% |
| 53 | Münster | 8,860 | -77.2% |
| 54 | Lüneburg | 8,661 | -69% |
| 55 | Koblenz | 8,652 | -48.9% |
| 56 | Malta | 8,606 | -13.5% |
| 57 | Oberösterreich | 8,544 | -45.6% |
| 58 | Prov. Oost-Vlaanderen | 8,507 | -8.9% |
| 59 | Basque Country | 8,495 | +93.9% |
| 60 | Balearic Islands | 8,462 | +107.6% |
| 61 | Kassel | 8,302 | -53.1% |
| 62 | Oberpfalz | 7,997 | -34.8% |
| 63 | Bremen | 7,860 | -27.9% |
| 64 | Northern and Western | 7,705 | +1,387.5% |
| 65 | Midtjylland | 7,619 | -6.4% |
| 66 | Attiki | 7,340 | +130.8% |
| 67 | Oberfranken | 6,972 | -17.3% |
| 68 | Prov. Vlaams-Brabant | 6,841 | -4.2% |
| 69 | Sjælland | 6,534 | -25.3% |
| 70 | Prov. Antwerpen | 6,460 | -28.4% |
| 71 | Steiermark | 6,383 | -47.3% |
| 72 | Bratislavský kraj | 6,308 | +2.4% |
| 73 | Utrecht | 6,259 | +18.8% |
| 74 | Saarland | 5,736 | -54% |
| 75 | Gießen | 5,544 | -60.7% |
| 76 | Piemonte | 5,374 | +193.3% |
| 77 | Unterfranken | 5,355 | -49.9% |
| 78 | Syddanmark | 5,345 | -17.2% |
| 79 | Mecklenburg-Vorpommern | 5,315 | -73.7% |
| 80 | Tirol | 5,265 | -39.7% |
| 81 | Prov. West-Vlaanderen | 5,151 | -0.7% |
| 82 | Poitou-Charentes | 4,936 | -24.3% |
| 83 | Dolnośląskie | 4,708 | +200.3% |
| 84 | Corse | 4,662 | +36.6% |
| 85 | Valencian Community | 4,633 | +207.7% |
| 86 | Liguria | 4,589 | +630.7% |
| 87 | Małopolskie | 4,157 | +96.5% |
| 88 | Sachsen-Anhalt | 4,143 | -83.3% |
| 89 | Drenthe | 4,039 | +304.3% |
| 90 | Voreio Aigaio | 4,034 | +263% |
| 91 | Pomorskie | 4,021 | +107.4% |
| 92 | Limburg (NL) | 3,831 | +174.8% |
| 93 | Auvergne | 3,524 | -1.2% |
| 94 | Mellersta Norrland | 3,369 | +62% |
| 95 | Grande Lisboa | 3,321 | -36% |
| 96 | Övre Norrland | 3,227 | +251.1% |
| 97 | Vorarlberg | 3,204 | -27.7% |
| 98 | Navarre | 2,986 | +133.6% |
| 99 | Rhône-Alpes | 2,946 | -66.6% |
| 100 | Jihozápad | 2,870 | +2.3% |
| 101 | Veneto | 2,730 | +290% |
| 102 | Península de Setúbal | 2,715 | +13.1% |
| 103 | Algarve | 2,673 | +8.6% |
| 104 | Länsi-Suomi | 2,601 | +44.8% |
| 105 | Galicia | 2,555 | +276.8% |
| 106 | Prov. Liège | 2,352 | -51.6% |
| 107 | Salzburg | 2,285 | -63.5% |
| 108 | Braunschweig | 2,272 | -90.9% |
| 109 | Region of Murcia | 2,247 | +243% |
| 110 | Friuli-Venezia Giulia | 2,200 | +186.8% |
| 111 | Prov. Hainaut | 2,153 | -54.4% |
| 112 | Kýpros | 2,130 | +642% |
| 113 | Prov. Namur | 2,045 | -37.2% |
| 114 | Provincia Autonoma di Bolzano/Bozen | 2,004 | +56.8% |
| 115 | Nordjylland | 1,992 | -39.7% |
| 116 | Dresden | 1,969 | -87.5% |
| 117 | Etelä-Suomi | 1,936 | +131% |
| 118 | Burgenland | 1,841 | -50.3% |
| 119 | Overijssel | 1,813 | -1.9% |
| 120 | Prov. Limburg (BE) | 1,696 | -64.3% |
| 121 | Kärnten | 1,684 | -60.1% |
| 122 | Prov. Brabant wallon | 1,633 | -47.4% |
| 123 | Limousin | 1,562 | +55.4% |
| 124 | Nyugat-Dunántúl | 1,524 | -10.1% |
| 125 | Jihovýchod | 1,499 | +63.6% |
| 126 | Flevoland | 1,421 | +817.7% |
| 127 | Zahodna Slovenija | 1,193 | +26.1% |
| 128 | Prov. Luxembourg (BE) | 1,106 | -56% |
| 129 | Friesland (NL) | 1,103 | +752.7% |
| 130 | Provincia Autonoma di Trento | 1,084 | -29.6% |
| 131 | Notio Aigaio | 1,050 | +153.5% |
| 132 | Eesti | 1,030 | -74.3% |
| 133 | Provence-Alpes-Côte d’Azur | 847 | -83.3% |
| 134 | Umbria | 799 | +994.5% |
| 135 | Západné Slovensko | 744 | +90.8% |
| 136 | Zeeland | 742 | -12.9% |
| 137 | Cantabria | 619 | +160.4% |
| 138 | Wielkopolskie | 597 | +290.1% |
| 139 | Severovýchod | 509 | -23.2% |
| 140 | Ionia Nisia | 438 | -2.4% |
| 141 | La Rioja | 416 | +685.9% |
| 142 | Mayotte | 365 | -16.5% |
| 143 | Alsace | 351 | +185.8% |
| 144 | Åland | 235 | +205.2% |
| 145 | Valle d’Aosta/Vallée d’Aoste | 70 | +116.5% |
| 146 | Podkarpackie | 67 | +107.3% |
| 147 | Groningen | 37 | +153.6% |
| 148 | Asturias | 0 | +100% |
| 149 | Sardegna | -37 | +94.7% |
| 150 | Lubuskie | -46 | +97% |
| 151 | Aragon | -79 | +98.3% |
| 152 | Arnsberg | -88 | -100.2% |
| 153 | Ceuta | -105 | +82.4% |
| 154 | Molise | -135 | -140.8% |
| 155 | Marche | -142 | +87.4% |
| 155 | Vzhodna Slovenija | -142 | +67.7% |
| 157 | Łódzkie | -311 | +79% |
| 158 | Oeste e Vale do Tejo | -322 | +29.2% |
| 159 | Opolskie | -475 | +78.2% |
| 160 | Bucureşti-Ilfov | -491 | -108.8% |
| 161 | Melilla | -509 | +6.8% |
| 162 | Pohjois- ja Itä-Suomi | -589 | +47.5% |
| 163 | Kujawsko-pomorskie | -746 | +70.2% |
| 164 | Közép-Dunántúl | -752 | -130.4% |
| 165 | Kriti | -871 | -7.4% |
| 166 | Abruzzo | -892 | +37% |
| 167 | Ipeiros | -1,028 | +37.8% |
| 168 | Świętokrzyskie | -1,039 | +53.3% |
| 169 | Sostinės regionas | -1,061 | +58.5% |
| 170 | Podlaskie | -1,100 | +43.5% |
| 171 | Alentejo | -1,167 | -36.5% |
| 172 | Basilicata | -1,296 | -22.6% |
| 173 | Stredné Slovensko | -1,339 | +16.6% |
| 174 | Detmold | -1,362 | -104.2% |
| 175 | Basse-Normandie | -1,364 | -10.1% |
| 176 | Severozápad | -1,381 | -20.2% |
| 177 | Região Autónoma dos Açores | -1,400 | +11% |
| 178 | Střední Morava | -1,406 | -122.1% |
| 179 | Zachodniopomorskie | -1,420 | +37.8% |
| 180 | Dytiki Makedonia | -1,425 | +11.2% |
| 181 | Região Autónoma da Madeira | -1,451 | +40.3% |
| 182 | Dytiki Elláda | -1,528 | +21.2% |
| 183 | Sterea Elláda | -1,629 | +47.1% |
| 184 | Peloponnisos | -1,630 | -2.1% |
| 185 | Centro (PT) | -1,767 | -14.6% |
| 186 | Východné Slovensko | -1,828 | -0.6% |
| 187 | Thessalia | -1,927 | +34.6% |
| 188 | Bourgogne | -2,137 | -103.3% |
| 189 | Chemnitz | -2,144 | -117.4% |
| 190 | Anatoliki Makedonia, Thraki | -2,247 | +9.7% |
| 191 | Dél-Dunántúl | -2,315 | +26.3% |
| 192 | Moravskoslezsko | -2,351 | +12.3% |
| 193 | Kentriki Makedonia | -2,575 | +72.4% |
| 194 | Yugozapaden | -2,667 | +2.7% |
| 195 | Centre - Val de Loire | -2,680 | -30% |
| 196 | Thüringen | -2,749 | -111.1% |
| 197 | Mazowiecki regionalny | -2,987 | +38.1% |
| 198 | Trier | -2,988 | -124.3% |
| 199 | Lubelskie | -3,123 | +33.3% |
| 200 | Norte | -3,231 | +51.9% |
| 201 | Warmińsko-mazurskie | -3,458 | -12.6% |
| 202 | Franche-Comté | -3,580 | -152.3% |
| 203 | Śląskie | -3,823 | +39.6% |
| 204 | Vest | -4,158 | -59.6% |
| 205 | Martinique | -4,384 | +17.5% |
| 206 | Észak-Alföld | -4,589 | -64.1% |
| 207 | Extremadura | -4,591 | -33.5% |
| 208 | Nord-Vest | -4,754 | -29.4% |
| 209 | Calabria | -4,757 | -0.9% |
| 210 | Picardie | -4,950 | -2.9% |
| 211 | Budapest | -5,113 | -297.8% |
| 212 | Észak-Magyarország | -5,245 | +7.9% |
| 213 | Dél-Alföld | -5,367 | -201.9% |
| 214 | Champagne-Ardenne | -5,872 | +4.2% |
| 215 | Guadeloupe | -6,162 | -0.5% |
| 216 | Castilla-La Mancha | -6,562 | +43.3% |
| 217 | Centru | -6,564 | -49.3% |
| 218 | Lorraine | -6,690 | -33.4% |
| 219 | Haute-Normandie | -6,757 | -17.3% |
| 220 | Severozapaden | -6,854 | +0.6% |
| 221 | Guyane | -7,021 | -299.7% |
| 222 | Castile and León | -7,425 | +32.9% |
| 223 | Yugoiztochen | -7,925 | +0.3% |
| 224 | Andalusia | -8,061 | -44.5% |
| 225 | La Réunion | -8,318 | -14.2% |
| 226 | Severen tsentralen | -9,254 | -1.4% |
| 227 | Severoiztochen | -9,701 | -1.2% |
| 228 | Jadranska Hrvatska | -9,703 | -0.2% |
| 229 | Sud-Vest Oltenia | -10,229 | +4.1% |
| 230 | Yuzhen tsentralen | -10,244 | +2.2% |
| 231 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | -11,133 | -235.6% |
| 232 | Campania | -11,469 | -47.1% |
| 233 | Sud-Muntenia | -12,177 | +10.6% |
| 234 | Latvija | -12,229 | -14.9% |
| 235 | Nord-Est | -12,784 | -64% |
| 236 | Sud-Est | -12,848 | -3.2% |
| 237 | Puglia | -13,254 | -14.4% |
| 238 | Nord-Pas de Calais | -15,589 | +15.7% |
| 239 | Sicilia | -18,152 | -29.1% |
| 240 | Vidurio ir vakarų Lietuvos regionas | -23,843 | -41.9% |
| 241 | Ile-de-France | -45,614 | +35.1% |
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. 3 regions with data in other periods have no value for 2016 and are left out rather than filled from another source. 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, 2016) [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, 2016. 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=2016. 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, 2016. 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=2016.
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, 2016 [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=2016 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2016,
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, 2016}},
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=2016. 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, 2016
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=2016
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/eu-regions?period=2016.
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?
Berlin, with 47,763 in 2016, according to Eurostat, European Commission.
Which region has the lowest net migration including statistical adjustment?
Ile-de-France, with -45,614 in 2016.
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. 3 regions have no value for 2016 and are not ranked.
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