EU regions (NUTS 2) by net migration including statistical adjustment

Oberbayern had the highest net migration including statistical adjustment of 241 regions in 2014, at 44,811. Ile-de-France had the lowest, at -57,634. The median was 950 and the figure for the European Union (27) was 660,097. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest44,811Oberbayern
Lowest-57,634Ile-de-France
Median950241 regions
European Union (27)660,097History

Top 40 regions, 2014

Oberbayern: 44,811 personsOberbayern44,811Berlin: 42,966 personsBerlin42,966Darmstadt: 41,094 personsDarmstadt41,094Stuttgart: 35,389 personsStuttgart35,389Düsseldorf: 33,177 personsDüsseldorf33,177Köln: 32,536 personsKöln32,536Lombardia: 29,222 personsLombardia29,222Wien: 27,345 personsWien27,345Lazio: 25,521 personsLazio25,521Aquitaine: 25,282 personsAquitaine25,282Schleswig-Holstein: 23,792 personsSchleswig-Holstein23,792Karlsruhe: 21,137 personsKarlsruhe21,137Stockholm: 21,136 personsStockholm21,136Rhône-Alpes: 20,425 personsRhône-Alpes20,425Freiburg: 19,180 personsFreiburg19,180Warszawski stołeczny: 18,567 personsWarszawski stołeczny18,567Arnsberg: 18,343 personsArnsberg18,343Brandenburg: 18,330 personsBrandenburg18,330Weser-Ems: 18,268 personsWeser-Ems18,268Languedoc-Roussillon: 17,510 personsLanguedoc-Roussillon17,510Midi-Pyrénées: 17,339 personsMidi-Pyrénées17,339Schwaben: 16,957 personsSchwaben16,957Hannover: 15,822 personsHannover15,822Rheinhessen-Pfalz: 15,490 personsRheinhessen-Pfalz15,490Västsverige: 15,410 personsVästsverige15,410Pays de la Loire: 15,128 personsPays de la Loire15,128Tübingen: 14,691 personsTübingen14,691Leipzig: 14,613 personsLeipzig14,613Bretagne: 14,209 personsBretagne14,209Hamburg: 14,190 personsHamburg14,190Eastern and Midland: 13,485 personsEastern and Midland13,485Praha: 13,372 personsPraha13,372Niederösterreich: 13,234 personsNiederösterreich13,234Emilia-Romagna: 13,196 personsEmilia-Romagna13,196Hovedstaden: 12,797 personsHovedstaden12,797Östra Mellansverige: 12,704 personsÖstra Mellansverige12,704Lüneburg: 12,588 personsLüneburg12,588Sydsverige: 12,289 personsSydsverige12,289Noord-Holland: 12,210 personsNoord-Holland12,210Budapest: 11,999 personsBudapest11,999Oberbayern: 44,811 personsOberbayern44,811Berlin: 42,966 personsBerlin42,966Darmstadt: 41,094 personsDarmstadt41,094Stuttgart: 35,389 personsStuttgart35,389Düsseldorf: 33,177 personsDüsseldorf33,177Köln: 32,536 personsKöln32,536Lombardia: 29,222 personsLombardia29,222Wien: 27,345 personsWien27,345Lazio: 25,521 personsLazio25,521Aquitaine: 25,282 personsAquitaine25,282Schleswig-Holstein: 23,792 personsSchleswig-Holstein23,792Karlsruhe: 21,137 personsKarlsruhe21,137Stockholm: 21,136 personsStockholm21,136Rhône-Alpes: 20,425 personsRhône-Alpes20,425Freiburg: 19,180 personsFreiburg19,180Warszawski stołeczny: 18,567 personsWarszawski stołeczny18,567Arnsberg: 18,343 personsArnsberg18,343Brandenburg: 18,330 personsBrandenburg18,330Weser-Ems: 18,268 personsWeser-Ems18,268Languedoc-Roussillon: 17,510 personsLanguedoc-Roussillon17,510Midi-Pyrénées: 17,339 personsMidi-Pyrénées17,339Schwaben: 16,957 personsSchwaben16,957Hannover: 15,822 personsHannover15,822Rheinhessen-Pfalz: 15,490 personsRheinhessen-Pfalz15,490Västsverige: 15,410 personsVästsverige15,410Pays de la Loire: 15,128 personsPays de la Loire15,128Tübingen: 14,691 personsTübingen14,691Leipzig: 14,613 personsLeipzig14,613Bretagne: 14,209 personsBretagne14,209Hamburg: 14,190 personsHamburg14,190Eastern and Midland: 13,485 personsEastern and Midland13,485Praha: 13,372 personsPraha13,372Niederösterreich: 13,234 personsNiederösterreich13,234Emilia-Romagna: 13,196 personsEmilia-Romagna13,196Hovedstaden: 12,797 personsHovedstaden12,797Östra Mellansverige: 12,704 personsÖstra Mellansverige12,704Lüneburg: 12,588 personsLüneburg12,588Sydsverige: 12,289 personsSydsverige12,289Noord-Holland: 12,210 personsNoord-Holland12,210Budapest: 11,999 personsBudapest11,999
persons. Source: Eurostat, Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.

Full ranking

RankRegions2014
persons
Change on 2013
1Oberbayern44,811-11%
2Berlin42,966-3.1%
3Darmstadt41,094+20.6%
4Stuttgart35,389+27%
5Düsseldorf33,177+24.8%
6Köln32,536+31.8%
7Lombardia29,222-46.9%
8Wien27,345+18.2%
9Lazio25,521-46.1%
10Aquitaine25,282n/a
11Schleswig-Holstein23,792+17%
12Karlsruhe21,137+3.4%
13Stockholm21,136-2.3%
14Rhône-Alpes20,425n/a
15Freiburg19,180+28%
16Warszawski stołeczny18,567n/a
17Arnsberg18,343+147%
18Brandenburg18,330+66.6%
19Weser-Ems18,268+75.4%
20Languedoc-Roussillon17,510n/a
21Midi-Pyrénées17,339n/a
22Schwaben16,957+5%
23Hannover15,822+33.6%
24Rheinhessen-Pfalz15,490+45.8%
25Västsverige15,410+21.7%
26Pays de la Loire15,128n/a
27Tübingen14,691+57.9%
28Leipzig14,613+37.6%
29Bretagne14,209n/a
30Hamburg14,190+26.8%
31Eastern and Midland13,485+1,410.5%
32Praha13,372+352.4%
33Niederösterreich13,234+40.9%
34Emilia-Romagna13,196-50.2%
35Hovedstaden12,797+1.3%
36Östra Mellansverige12,704-1.3%
37Lüneburg12,588+36.8%
38Sydsverige12,289+52.8%
39Noord-Holland12,210+24.8%
40Budapest11,999+42.2%
41Provence-Alpes-Côte d’Azur11,685n/a
42Helsinki-Uusimaa11,527-2.9%
43Münster11,487+32.3%
44Niederbayern11,138+3.6%
45Luxembourg11,049+6.8%
46Zuid-Holland10,979n/a
47Střední Čechy10,692+15.9%
48Braunschweig10,667+36.8%
49Mittelfranken10,198-15.2%
50Oberösterreich10,013+58.8%
51Malta9,728+65%
52Mecklenburg-Vorpommern8,721+152.9%
53Koblenz8,573+85.8%
54Detmold8,510+123.8%
55Gießen8,421+177.6%
56Steiermark7,775+35.9%
57Toscana7,140-47%
58Oberpfalz6,972+13.3%
59Prov. Oost-Vlaanderen Series break6,118-5.2%
60Noord-Brabant6,047+15.2%
61Småland med öarna6,010+80.6%
62Dresden5,996+25.6%
63Poitou-Charentes5,981n/a
64Prov. Antwerpen Series break5,925+36.6%
65Bremen5,723+20.3%
66Sjælland5,606+128%
67Pest5,573+75.2%
68Kassel5,500+55%
69Tirol5,346+10.7%
70Norra Mellansverige5,212+23.2%
71Thüringen4,989+812.1%
72Bratislavský kraj4,758+12.5%
73Sachsen-Anhalt4,737+2,177.6%
74Prov. Vlaams-Brabant Series break4,500+11.6%
75Utrecht4,160n/a
76Gelderland4,055+162.6%
77Prov. West-Vlaanderen Series break4,048+17.9%
78Trier4,033+68.7%
79Oberfranken3,769+42%
80Syddanmark3,695+139.8%
81Małopolskie3,674+127.2%
82Unterfranken3,673-7.3%
83Saarland3,518+46.1%
84Chemnitz3,504+424.4%
85Prov. Hainaut Series break3,471-2.3%
86Salzburg3,176+98.4%
87Corse3,131n/a
88Auvergne2,942n/a
89Midtjylland2,922-3.8%
90Kärnten2,798+78.8%
91Länsi-Suomi2,509-16.7%
92Prov. Namur Series break2,387+96.6%
93Bucureşti-Ilfov Estimated2,378-15%
94Prov. Liège Series break2,364+14.8%
95Jihozápad2,325+40.1%
96Veneto2,318-73.3%
97Prov. Brabant wallon Series break2,304+31.8%
98Pomorskie2,258+52.8%
99Grande Lisboa2,158n/a
100Vorarlberg2,035+17.6%
101Limousin1,991n/a
102Burgenland1,948+6.2%
103Nordjylland1,930+25.4%
104Övre Norrland1,929+7.1%
105Prov. Limburg (BE) Series break1,895+48.3%
106Mellersta Norrland1,870+54.9%
107Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest Series break1,796+223.1%
108Mayotte1,760n/a
109Guyane1,722n/a
110Balearic Islands1,559+212.5%
111Etelä-Suomi1,526-45.3%
112Dolnośląskie1,495+264.6%
113Prov. Luxembourg (BE) Series break1,367+2,378.3%
114Península de Setúbal1,347n/a
115Provincia Autonoma di Trento1,266-59.3%
116Friuli-Venezia Giulia1,257-73.8%
117Basque Country1,247+119.4%
118Provincia Autonoma di Bolzano/Bozen1,209-52.4%
119Groningen1,122+3.5%
120Canary Islands1,097+361.8%
121Algarve950+1,419.4%
122Marche854-58.3%
123Nord-Est Estimated833+1,587.5%
124Nyugat-Dunántúl747-31.9%
125Zahodna Slovenija673-73.8%
126Jihovýchod604+547.4%
127Ionia Nisia570+6.1%
128Západné Slovensko390-49.2%
129Wielkopolskie306+152.8%
130Vest Estimated265-32.1%
131Åland219+49%
132Sardegna86-93.3%
133Severovýchod30+103.7%
134Limburg (NL)8-95.1%
135Zeeland-12+91.5%
136Nord-Vest Estimated-47-103.4%
137Drenthe-96+69.5%
138Valle d’Aosta/Vallée d’Aoste-103-119.7%
139Molise-151-119.3%
140Abruzzo-234-124.4%
140Melilla-234+61.9%
142Basse-Normandie-291n/a
143Pohjois- ja Itä-Suomi-344-415.6%
144Sostinės regionas-376+79%
145Navarre-454+83.4%
146Friesland (NL)-588+32.5%
147Eesti-615+76.7%
148Ceuta-694-44.6%
149Basilicata-737-689.6%
150Kriti-766+0.6%
151Bourgogne-841n/a
152Alsace-846n/a
153Podkarpackie-874+73.5%
154Flevoland-893+9.3%
155Umbria-919-143.6%
156Cantabria-973+36.2%
157Liguria-989-126.8%
158Střední Morava-1,101+19.6%
159Vzhodna Slovenija-1,163+44.1%
160Severozápad-1,223+17.6%
161La Rioja-1,227+60.6%
162Lubuskie-1,285+24.8%
163Stredné Slovensko-1,307-24.7%
164Franche-Comté-1,358n/a
165Overijssel-1,513+26.3%
166Peloponnisos-1,543+3.6%
167Dytiki Makedonia-1,599+17.8%
168Közép-Dunántúl-1,602-42.9%
169Dytiki Elláda-1,757+24.9%
170Ipeiros-1,776+15.8%
171La Réunion-1,780n/a
172Alentejo-1,927n/a
173Łódzkie-1,994+26.6%
174Notio Aigaio-2,001+0.1%
175Região Autónoma dos Açores-2,066-109.7%
176Opolskie-2,098+46.2%
177Východné Slovensko-2,128-35.6%
178Zachodniopomorskie-2,165-35.4%
179Świętokrzyskie-2,219+15.4%
180Podlaskie-2,257+18.9%
181Voreio Aigaio-2,355+2.1%
182Oeste e Vale do Tejo-2,425n/a
183Haute-Normandie-2,562n/a
184Kujawsko-pomorskie-2,574+28.6%
185Piemonte-2,587-127.1%
186Anatoliki Makedonia, Thraki-2,602+19.3%
187Galicia-2,717+35.3%
188Centru Estimated-2,769-91.2%
189Extremadura-2,859-32.8%
190Yugozapaden-2,951-2%
191Aragon-2,973+43.6%
192Dél-Alföld-2,996+17.8%
193Asturias-3,020-7.3%
193Kýpros-3,020+57%
195Moravskoslezsko-3,038+1.7%
196Sterea Elláda-3,098-2.3%
197Thessalia-3,116+15.2%
198Região Autónoma da Madeira-3,136-36.1%
199Centre - Val de Loire-3,148n/a
200Region of Murcia-3,450+37.6%
201Warmińsko-mazurskie-3,583+17.3%
202Észak-Alföld-3,608+34.5%
203Champagne-Ardenne-3,610n/a
204Calabria-3,707-73.7%
205Guadeloupe-3,851n/a
206Martinique-4,082n/a
207Dél-Dunántúl-4,136-33.1%
208Lorraine-4,499n/a
209Picardie-4,729n/a
210Mazowiecki regionalny-5,001n/a
211Northern and Western-5,041+17.7%
212Centro (PT)-5,685n/a
213Lubelskie-5,824-1.2%
214Sud-Vest Oltenia Estimated-6,169-29%
215Southern-6,712-59%
216Severozapaden-6,9050%
217Sud-Est Estimated-6,989-45.9%
218Śląskie-7,361+36.2%
219Jadranska Hrvatska-7,371-25.7%
220Észak-Magyarország-7,470-2%
221Yugoiztochen-7,569+5%
222Campania-7,764+5.5%
223Sud-Muntenia Estimated-7,941-7.8%
224Castile and León-8,006+41.3%
225Andalusia-8,118+64%
226Latvija-8,652+39.3%
227Sicilia-8,699-31%
228Severen tsentralen-9,134+2.7%
229Kentriki Makedonia-9,460+16%
230Severoiztochen-9,622+2.1%
231Vidurio ir vakarų Lietuvos regionas-9,954+19.3%
232Yuzhen tsentralen-10,215+1.3%
233Puglia-10,831-3.3%
234Castilla-La Mancha-12,158+37.8%
235Norte-15,711+0.4%
236Nord-Pas de Calais-17,492n/a
237Valencian Community-17,914+43.7%
238Community of Madrid-19,257+68.9%
239Catalonia-22,213+66.7%
240Attiki-25,159+26.5%
241Ile-de-France-57,634n/a

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 2014 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

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

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, 2014) [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, 2014. 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=2014. 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, 2014. 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=2014.

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, 2014 [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=2014 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_eu_regions_nuts_2_2014,
  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, 2014}},
  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=2014. 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, 2014
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=2014
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/eu-regions?period=2014.
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  - 
Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

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=10

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

Which region has the highest net migration including statistical adjustment?

Oberbayern, with 44,811 in 2014, according to Eurostat, European Commission.

Which region has the lowest net migration including statistical adjustment?

Ile-de-France, with -57,634 in 2014.

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 2014 and are not ranked.

Net migration including statistical adjustment: other rankings

EU regions (NUTS 2): more rankings