NUTS 3 areas of Germany by net migration including statistical adjustment

Berlin had the highest net migration including statistical adjustment of 400 areas in 2018, at 27,028. Wiesbaden, Kreisfreie Stadt had the lowest, at -676. The median was 755 and the figure for Germany was 394,213. Source: Eurostat, European Commission.

Highest27,028Berlin
Median755400 areas
Germany394,213History

Top 40 areas, 2018

Berlin: 27,028 personsBerlin27,028München, Kreisfreie Stadt: 8,910 personsMünchen, Kreisfreie Stadt8,910Hamburg: 7,637 personsHamburg7,637Region Hannover: 6,555 personsRegion Hannover6,555Leipzig, Kreisfreie Stadt: 5,611 personsLeipzig, Kreisfreie Stadt5,611Ortenaukreis: 4,019 personsOrtenaukreis4,019Köln, Kreisfreie Stadt: 3,738 personsKöln, Kreisfreie Stadt3,738Rhein-Erft-Kreis: 3,602 personsRhein-Erft-Kreis3,602Nürnberg, Kreisfreie Stadt: 3,175 personsNürnberg, Kreisfreie Stadt3,175Frankfurt am Main, Kreisfreie Stadt: 3,087 personsFrankfurt am Main, Kreisfreie Sta…3,087Dresden, Kreisfreie Stadt: 3,050 personsDresden, Kreisfreie Stadt3,050Groß-Gerau: 2,732 personsGroß-Gerau2,732Segeberg: 2,699 personsSegeberg2,699Barnim: 2,670 personsBarnim2,670Unna: 2,571 personsUnna2,571Rhein-Kreis Neuss: 2,537 personsRhein-Kreis Neuss2,537Ludwigshafen am Rhein, Kreisfreie Stadt: 2,496 personsLudwigshafen am Rhein, Kreisfreie…2,496Städteregion Aachen: 2,437 personsStädteregion Aachen2,437Pinneberg: 2,417 personsPinneberg2,417Dahme-Spreewald: 2,406 personsDahme-Spreewald2,406München, Landkreis: 2,348 personsMünchen, Landkreis2,348Märkisch-Oderland: 2,346 personsMärkisch-Oderland2,346Offenbach, Landkreis: 2,341 personsOffenbach, Landkreis2,341Augsburg, Kreisfreie Stadt: 2,296 personsAugsburg, Kreisfreie Stadt2,296Potsdam-Mittelmark: 2,264 personsPotsdam-Mittelmark2,264Karlsruhe, Landkreis: 2,262 personsKarlsruhe, Landkreis2,262Emsland: 2,199 personsEmsland2,199Oberhavel: 2,193 personsOberhavel2,193Heilbronn, Landkreis: 2,170 personsHeilbronn, Landkreis2,170Mettmann: 2,168 personsMettmann2,168Potsdam, Kreisfreie Stadt: 2,145 personsPotsdam, Kreisfreie Stadt2,145Passau, Landkreis: 2,104 personsPassau, Landkreis2,104Teltow-Fläming: 2,016 personsTeltow-Fläming2,016Havelland: 1,949 personsHavelland1,949Ostalbkreis: 1,923 personsOstalbkreis1,923Bremen, Kreisfreie Stadt: 1,915 personsBremen, Kreisfreie Stadt1,915Gießen, Landkreis: 1,889 personsGießen, Landkreis1,889Osnabrück, Landkreis: 1,860 personsOsnabrück, Landkreis1,860Wetteraukreis: 1,860 personsWetteraukreis1,860Heinsberg: 1,857 personsHeinsberg1,857
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

RankAreas2018
persons
Change on 2017
1Berlin27,028-17.7%
2München, Kreisfreie Stadt8,910+161.3%
3Hamburg7,637-54.1%
4Region Hannover6,555+23.5%
5Leipzig, Kreisfreie Stadt5,611-46.1%
6Ortenaukreis4,019+34.6%
7Köln, Kreisfreie Stadt3,738+82.2%
8Rhein-Erft-Kreis3,602+44.3%
9Nürnberg, Kreisfreie Stadt3,175-17.1%
10Frankfurt am Main, Kreisfreie Stadt3,087-58.2%
11Dresden, Kreisfreie Stadt3,050+5.1%
12Groß-Gerau2,732+37.1%
13Segeberg2,699+13.3%
14Barnim2,670+18.4%
15Unna2,571+83.4%
16Rhein-Kreis Neuss2,537-10%
17Ludwigshafen am Rhein, Kreisfreie Stadt2,496+36.1%
18Städteregion Aachen2,437+1%
19Pinneberg2,417-10.1%
20Dahme-Spreewald2,406+28.3%
21München, Landkreis2,348-17.9%
22Märkisch-Oderland2,346+12.8%
23Offenbach, Landkreis2,341+40.7%
24Augsburg, Kreisfreie Stadt2,296-27.6%
25Potsdam-Mittelmark2,264+31.9%
26Karlsruhe, Landkreis2,262-24.3%
27Emsland2,199-0.4%
28Oberhavel2,193+11.4%
29Heilbronn, Landkreis2,170-29.6%
30Mettmann2,168+3.6%
31Potsdam, Kreisfreie Stadt2,145-39.9%
32Passau, Landkreis2,104-3.2%
33Teltow-Fläming2,016-24.8%
34Havelland1,949+20.3%
35Ostalbkreis1,923+65.2%
36Bremen, Kreisfreie Stadt1,915-33.6%
37Gießen, Landkreis1,889+27%
38Osnabrück, Landkreis1,860+12%
38Wetteraukreis1,860-8.1%
40Heinsberg1,857+66.2%
41Lübeck, Kreisfreie Stadt1,843+382.5%
42Rhein-Neckar-Kreis1,783-36.6%
43Schwäbisch Hall1,761+56.4%
44Rosenheim, Landkreis1,749-24.9%
45Bodenseekreis1,7370%
46Mainz, Kreisfreie Stadt1,727+34.7%
47Hagen, Kreisfreie Stadt1,725+1,929.4%
48Harburg1,724+16.2%
49Augsburg, Landkreis1,704-25.4%
50Neu-Ulm1,702+18.4%
51Herzogtum Lauenburg1,697+6.1%
52Dortmund, Kreisfreie Stadt1,663-13.8%
53Düren1,655+7.7%
54Duisburg, Kreisfreie Stadt1,646+307.6%
55Bergstraße1,621+8.1%
56Unterallgäu1,617-0.8%
57Regensburg, Kreisfreie Stadt1,589-22.7%
58Düsseldorf, Kreisfreie Stadt1,585-53.8%
59Offenbach am Main, Kreisfreie Stadt1,570-5.5%
60Darmstadt-Dieburg1,563-5.5%
61Diepholz1,554-0.6%
62Chemnitz, Kreisfreie Stadt1,529+2.2%
63Stade1,519+208.1%
64Sächsische Schweiz-Osterzgebirge1,515+99.3%
65Rhein-Sieg-Kreis1,501-29.2%
66Ostholstein1,494+29.2%
67Bielefeld, Kreisfreie Stadt1,490+314.7%
68Regensburg, Landkreis1,473-15.6%
69Schwarzwald-Baar-Kreis1,461-10%
70Landkreis Rostock1,458-14.4%
71Leipzig1,454+24.4%
72Wuppertal, Kreisfreie Stadt1,453-23.9%
73Stormarn1,449+2.5%
74Konstanz1,438-30.1%
75Fürth, Landkreis1,430+197.9%
76Mannheim, Stadtkreis1,411-56.8%
77Schleswig-Flensburg1,399-10.9%
78Landshut, Landkreis1,391-18.7%
79Böblingen1,390-54.8%
80Paderborn1,381+700.4%
81Vorpommern-Greifswald1,363+18.4%
82Rems-Murr-Kreis1,359-44.7%
83Esslingen1,355-62.8%
84Oder-Spree1,335+192.8%
85Ingolstadt, Kreisfreie Stadt1,323-1.4%
86Essen, Kreisfreie Stadt1,314-29%
87Würzburg, Kreisfreie Stadt1,312+57.3%
88Ahrweiler1,310+28.2%
89Leer1,306+22.4%
90Landshut, Kreisfreie Stadt1,304-3.3%
91Bonn, Kreisfreie Stadt1,297-56.4%
91Fürstenfeldbruck1,297+49.4%
93Main-Kinzig-Kreis1,295-36%
94Vorpommern-Rügen1,292-17.7%
95Steinfurt1,289-45.5%
96Mainz-Bingen1,288+76%
97Alb-Donau-Kreis1,285+2.9%
98Biberach1,279-29.6%
99Rastatt1,275-27.8%
100Hameln-Pyrmont1,266+47%
101Cuxhaven1,253+150.6%
102Göttingen1,252-42.1%
103Pforzheim, Stadtkreis1,241+31.3%
104Ennepe-Ruhr-Kreis1,239+85.2%
105Hildesheim1,231+33.5%
106Günzburg1,222+16.3%
107Traunstein1,214-1.9%
108Oldenburg (Oldenburg), Kreisfreie Stadt1,200-17.2%
109Karlsruhe, Stadtkreis1,198-43.2%
110Ebersberg1,196-27.7%
111Göppingen1,192-41.9%
112Zollernalbkreis1,189+3.1%
113Mayen-Koblenz1,188+10.5%
113Weilheim-Schongau1,188+101%
115Nürnberger Land1,175-8.5%
116Fürth, Kreisfreie Stadt1,172+7.8%
117Gütersloh1,168-15.9%
118Rheinisch-Bergischer Kreis1,167+27.4%
119Fulda1,146+48.4%
120Euskirchen1,144-23.7%
121Tübingen, Landkreis1,141+108.2%
122Krefeld, Kreisfreie Stadt1,137+132.5%
123Flensburg, Kreisfreie Stadt1,136-8%
124Kassel, Landkreis1,128+43.1%
125Reutlingen1,124-32.2%
125Solingen, Kreisfreie Stadt1,124+120.4%
127Cloppenburg1,116-34.2%
127Westerwaldkreis1,116+79.1%
129Magdeburg, Kreisfreie Stadt1,108+7.1%
130Schwandorf1,094-18.2%
131Peine1,090+40.6%
132Nordsachsen1,089+11.5%
133Heidekreis1,085+12,155.6%
134Calw1,068-35.4%
135Erfurt, Kreisfreie Stadt1,064-51%
136Recklinghausen1,061-47.3%
137Hochtaunuskreis1,057-23.4%
138Bad Kreuznach1,056+61.2%
139Ansbach, Landkreis1,053-25.4%
140Soest1,050+39.8%
141Ludwigslust-Parchim1,048+23.1%
142Viersen1,042-7.5%
143Erlangen-Höchstadt1,040+43.4%
144Wesel1,033+61.9%
145Kelheim1,031-16.2%
146Rheingau-Taunus-Kreis1,026-25%
147Roth1,025+62.4%
148Gelsenkirchen, Kreisfreie Stadt1,024+169%
149Regionalverband Saarbrücken1,015-46%
150Rostock, Kreisfreie Stadt1,003-17%
151Dachau990-42.1%
152Ostallgäu968-2.8%
153Altötting962-13.6%
154Mühldorf a. Inn960-35.5%
155Cham957+19%
156Bayreuth, Kreisfreie Stadt948-17.9%
157Marburg-Biedenkopf945-44.9%
158Bremerhaven, Kreisfreie Stadt944+214.7%
159Celle939-8.7%
160Erlangen, Kreisfreie Stadt929+21.3%
161Dillingen a.d. Donau928+24.6%
162Neustadt a. d. Aisch-Bad Windsheim923+52.1%
163Ammerland922-0.8%
163Neumarkt i. d. OPf.922-20.1%
165Oberallgäu918-3.6%
166Stuttgart, Stadtkreis904-73.5%
167Borken903+90.1%
168Deggendorf898-39.9%
169Aichach-Friedberg894-9.2%
170Kassel, Kreisfreie Stadt893-46.6%
171Landsberg am Lech891+124.4%
172Neuwied879+29.3%
173Weimar, Kreisfreie Stadt873+259.3%
174Ludwigsburg871-77.8%
175Straubing-Bogen866+26.8%
176Gifhorn861+81.3%
177Rendsburg-Eckernförde858-48.9%
178Rhein-Pfalz-Kreis857+2.9%
179Berchtesgadener Land844+8.9%
180Heilbronn, Stadtkreis836-38.7%
181Osterholz828+7.1%
182Schaumburg827-36.7%
183Coesfeld826+26.1%
183Main-Taunus-Kreis826-34.3%
183Schweinfurt, Kreisfreie Stadt826-2.8%
186Nordfriesland824-27.5%
187Passau, Kreisfreie Stadt821-12.8%
187Sigmaringen821n/a
189Alzey-Worms811+58.4%
190Braunschweig, Kreisfreie Stadt809+717.6%
191Aurich805+29.8%
192Grafschaft Bentheim804+220.3%
193Emmendingen791-46%
194Warendorf788+241.1%
195Pfaffenhofen a. d. Ilm779-24.2%
196Meißen763+148.5%
196Trier-Saarburg763-18.7%
198Lüneburg, Landkreis761-52%
199Gotha758-9.8%
199Ravensburg758-49%
201Rottweil752+11.2%
202Trier, Kreisfreie Stadt749+37,550%
203Herne, Kreisfreie Stadt745+94.5%
203Remscheid, Kreisfreie Stadt745+182.2%
205Heidenheim742-6%
206Siegen-Wittgenstein737+16.6%
207Aschaffenburg, Kreisfreie Stadt729-15.9%
208Miesbach716+46.4%
209Vechta708+56.3%
209Waldshut708-55.4%
211Germersheim705+148.2%
212Lindau (Bodensee)702+97.2%
212Tuttlingen702-44.6%
214Hohenlohekreis694-9.9%
215Brandenburg an der Havel, Kreisfreie Stadt692+4.7%
215Goslar692-7.7%
217Rottal-Inn679-38.4%
218Kitzingen674-20.6%
219Starnberg671-31.6%
220Bamberg, Landkreis660-15.4%
221Baden-Baden, Stadtkreis656-12.1%
222Dithmarschen647+8.6%
223Donau-Ries645-23%
224Limburg-Weilburg643+83.7%
225Northeim642+92.2%
226Darmstadt, Kreisfreie Stadt640+27.7%
227Freudenstadt632-32.6%
228Halle (Saale), Kreisfreie Stadt625-66.3%
229Kempten (Allgäu), Kreisfreie Stadt624-29.4%
230Enzkreis622-48.9%
231Odenwaldkreis619+2%
232Aschaffenburg, Landkreis615-4.8%
232Werra-Meißner-Kreis615-26.2%
234Saarlouis606+342.3%
235Salzgitter, Kreisfreie Stadt604-50.7%
236Bad Tölz-Wolfratshausen601-33.1%
237Forchheim600+18.8%
238Freising595-65%
239Görlitz593+54.8%
240Kaufbeuren, Kreisfreie Stadt585+36%
241Kleve582-67.2%
242Bernkastel-Wittlich581+21.8%
243Miltenberg580+166.1%
244Neckar-Odenwald-Kreis576+16.6%
245Neumünster, Kreisfreie Stadt573+566.3%
246Erding566-51.1%
247Bottrop, Kreisfreie Stadt565+9.9%
248Nordwestmecklenburg563-29.5%
249Oldenburg, Landkreis562-20.5%
250Eifelkreis Bitburg-Prüm559+56.6%

Showing the top 250 of 400. The Excel download has every row.

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 areas 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

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) (NUTS 3 areas of Germany by net migration including statistical adjustment, 2018) [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), NUTS 3 areas of Germany by net migration including statistical adjustment, 2018. 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/germany-provinces?period=2018. 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). NUTS 3 areas of Germany by net migration including statistical adjustment, 2018. 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/germany-provinces?period=2018.

Harvard

Eurostat, European Commission (2026) Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), NUTS 3 areas of Germany by net migration including statistical adjustment, 2018 [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/germany-provinces?period=2018 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_nuts_3_areas_of_2018,
  author = {{Eurostat, European Commission}},
  title = {{Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo\_r\_gind3): NUTS 3 areas of Germany by net migration including statistical adjustment, 2018}},
  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/germany-provinces?period=2018. 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): NUTS 3 areas of Germany by net migration including statistical adjustment, 2018
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/germany-provinces?period=2018
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/germany-provinces?period=2018.
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  - 
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Questions

Which area has the highest net migration including statistical adjustment?

Berlin, with 27,028 in 2018, according to Eurostat, European Commission.

Which area has the lowest net migration including statistical adjustment?

Wiesbaden, Kreisfreie Stadt, with -676 in 2018.

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

NUTS 3 areas of Germany: more rankings