NUTS 3 areas of Germany by net migration rate including statistical adjustment

Dahme-Spreewald had the highest net migration rate including statistical adjustment of 400 areas in 2020, at 19.6 per 1,000 inhabitants. Heidelberg, Stadtkreis had the lowest, at -18.8 per 1,000 inhabitants. The median was 3.2 per 1,000 inhabitants and the figure for Germany was 2.4 per 1,000 inhabitants. Source: Eurostat, European Commission.

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Highest19.6Dahme-Spreewald
Median3.2400 areas
Germany2.4History

Top 40 areas, 2020

Dahme-Spreewald: 19.6 per 1,000 inhabitantsDahme-Spreewald19.6Barnim: 16 per 1,000 inhabitantsBarnim16Havelland: 15 per 1,000 inhabitantsHavelland15Märkisch-Oderland: 13.9 per 1,000 inhabitantsMärkisch-Oderland13.9Teltow-Fläming: 13.5 per 1,000 inhabitantsTeltow-Fläming13.5Wittmund: 13.3 per 1,000 inhabitantsWittmund13.3Ostholstein: 12.4 per 1,000 inhabitantsOstholstein12.4Eifelkreis Bitburg-Prüm: 12.2 per 1,000 inhabitantsEifelkreis Bitburg-Prüm12.2Nordfriesland: 11.6 per 1,000 inhabitantsNordfriesland11.6Schleswig-Flensburg: 11.2 per 1,000 inhabitantsSchleswig-Flensburg11.2Landkreis Rostock: 11.1 per 1,000 inhabitantsLandkreis Rostock11.1Potsdam-Mittelmark: 11.1 per 1,000 inhabitantsPotsdam-Mittelmark11.1Oberhavel: 10.8 per 1,000 inhabitantsOberhavel10.8Vorpommern-Rügen: 10.7 per 1,000 inhabitantsVorpommern-Rügen10.7Lüchow-Dannenberg: 10.5 per 1,000 inhabitantsLüchow-Dannenberg10.5Potsdam, Kreisfreie Stadt: 10.3 per 1,000 inhabitantsPotsdam, Kreisfreie Stadt10.3Osterholz: 10.2 per 1,000 inhabitantsOsterholz10.2Trier-Saarburg: 10.2 per 1,000 inhabitantsTrier-Saarburg10.2Fürth, Landkreis: 10.1 per 1,000 inhabitantsFürth, Landkreis10.1Peine: 10.1 per 1,000 inhabitantsPeine10.1Augsburg, Landkreis: 10 per 1,000 inhabitantsAugsburg, Landkreis10Plön: 9.9 per 1,000 inhabitantsPlön9.9Oder-Spree: 9.8 per 1,000 inhabitantsOder-Spree9.8Cloppenburg: 9.6 per 1,000 inhabitantsCloppenburg9.6Cuxhaven: 9.4 per 1,000 inhabitantsCuxhaven9.4Nordwestmecklenburg: 9.4 per 1,000 inhabitantsNordwestmecklenburg9.4Kaufbeuren, Kreisfreie Stadt: 9.3 per 1,000 inhabitantsKaufbeuren, Kreisfreie Stadt9.3Baden-Baden, Stadtkreis: 9.1 per 1,000 inhabitantsBaden-Baden, Stadtkreis9.1Wetteraukreis: 9.1 per 1,000 inhabitantsWetteraukreis9.1Ammerland: 9 per 1,000 inhabitantsAmmerland9Herzogtum Lauenburg: 9 per 1,000 inhabitantsHerzogtum Lauenburg9Schaumburg: 9 per 1,000 inhabitantsSchaumburg9Alzey-Worms: 8.8 per 1,000 inhabitantsAlzey-Worms8.8Cochem-Zell: 8.6 per 1,000 inhabitantsCochem-Zell8.6Harburg: 8.6 per 1,000 inhabitantsHarburg8.6Prignitz: 8.6 per 1,000 inhabitantsPrignitz8.6Vorpommern-Greifswald: 8.6 per 1,000 inhabitantsVorpommern-Greifswald8.6Uelzen: 8.5 per 1,000 inhabitantsUelzen8.5Herne, Kreisfreie Stadt: 8.3 per 1,000 inhabitantsHerne, Kreisfreie Stadt8.3Speyer, Kreisfreie Stadt: 8.3 per 1,000 inhabitantsSpeyer, Kreisfreie Stadt8.3Dahme-Spreewald: 19.6 per 1,000 inhabitantsDahme-Spreewald19.6Barnim: 16 per 1,000 inhabitantsBarnim16Havelland: 15 per 1,000 inhabitantsHavelland15Märkisch-Oderland: 13.9 per 1,000 inhabitantsMärkisch-Oderland13.9Teltow-Fläming: 13.5 per 1,000 inhabitantsTeltow-Fläming13.5Wittmund: 13.3 per 1,000 inhabitantsWittmund13.3Ostholstein: 12.4 per 1,000 inhabitantsOstholstein12.4Eifelkreis Bitburg-Prüm: 12.2 per 1,000 inhabitantsEifelkreis Bitburg-Prüm12.2Nordfriesland: 11.6 per 1,000 inhabitantsNordfriesland11.6Schleswig-Flensburg: 11.2 per 1,000 inhabitantsSchleswig-Flensburg11.2Landkreis Rostock: 11.1 per 1,000 inhabitantsLandkreis Rostock11.1Potsdam-Mittelmark: 11.1 per 1,000 inhabitantsPotsdam-Mittelmark11.1Oberhavel: 10.8 per 1,000 inhabitantsOberhavel10.8Vorpommern-Rügen: 10.7 per 1,000 inhabitantsVorpommern-Rügen10.7Lüchow-Dannenberg: 10.5 per 1,000 inhabitantsLüchow-Dannenberg10.5Potsdam, Kreisfreie Stadt: 10.3 per 1,000 inhabitantsPotsdam, Kreisfreie Stadt10.3Osterholz: 10.2 per 1,000 inhabitantsOsterholz10.2Trier-Saarburg: 10.2 per 1,000 inhabitantsTrier-Saarburg10.2Fürth, Landkreis: 10.1 per 1,000 inhabitantsFürth, Landkreis10.1Peine: 10.1 per 1,000 inhabitantsPeine10.1Augsburg, Landkreis: 10 per 1,000 inhabitantsAugsburg, Landkreis10Plön: 9.9 per 1,000 inhabitantsPlön9.9Oder-Spree: 9.8 per 1,000 inhabitantsOder-Spree9.8Cloppenburg: 9.6 per 1,000 inhabitantsCloppenburg9.6Cuxhaven: 9.4 per 1,000 inhabitantsCuxhaven9.4Nordwestmecklenburg: 9.4 per 1,000 inhabitantsNordwestmecklenburg9.4Kaufbeuren, Kreisfreie Stadt: 9.3 per 1,000 inhabitantsKaufbeuren, Kreisfreie Stadt9.3Baden-Baden, Stadtkreis: 9.1 per 1,000 inhabitantsBaden-Baden, Stadtkreis9.1Wetteraukreis: 9.1 per 1,000 inhabitantsWetteraukreis9.1Ammerland: 9 per 1,000 inhabitantsAmmerland9Herzogtum Lauenburg: 9 per 1,000 inhabitantsHerzogtum Lauenburg9Schaumburg: 9 per 1,000 inhabitantsSchaumburg9Alzey-Worms: 8.8 per 1,000 inhabitantsAlzey-Worms8.8Cochem-Zell: 8.6 per 1,000 inhabitantsCochem-Zell8.6Harburg: 8.6 per 1,000 inhabitantsHarburg8.6Prignitz: 8.6 per 1,000 inhabitantsPrignitz8.6Vorpommern-Greifswald: 8.6 per 1,000 inhabitantsVorpommern-Greifswald8.6Uelzen: 8.5 per 1,000 inhabitantsUelzen8.5Herne, Kreisfreie Stadt: 8.3 per 1,000 inhabitantsHerne, Kreisfreie Stadt8.3Speyer, Kreisfreie Stadt: 8.3 per 1,000 inhabitantsSpeyer, Kreisfreie Stadt8.3
per 1,000 inhabitants. Source: Eurostat, Population change, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.

Full ranking

RankAreas2020
per 1,000 inhabitants
Change on 2019
1Dahme-Spreewald19.6+5.5 pts
2Barnim16-1.8 pts
3Havelland15+4 pts
4Märkisch-Oderland13.9+1.7 pts
5Teltow-Fläming13.5-0.2 pts
6Wittmund13.3+7 pts
7Ostholstein12.4+5.2 pts
8Eifelkreis Bitburg-Prüm12.2+5 pts
9Nordfriesland11.6+3.8 pts
10Schleswig-Flensburg11.2+2 pts
11Landkreis Rostock11.1+3.3 pts
11Potsdam-Mittelmark11.1-1.5 pts
13Oberhavel10.8-0.8 pts
14Vorpommern-Rügen10.7+3.4 pts
15Lüchow-Dannenberg10.5+2.6 pts
16Potsdam, Kreisfreie Stadt10.3-1.7 pts
17Osterholz10.2+2.9 pts
17Trier-Saarburg10.2+5.2 pts
19Fürth, Landkreis10.1+4 pts
19Peine10.1+1.4 pts
21Augsburg, Landkreis10+2.4 pts
22Plön9.9+5.1 pts
23Oder-Spree9.8+2.9 pts
24Cloppenburg9.6+4.1 pts
25Cuxhaven9.4+4.4 pts
25Nordwestmecklenburg9.4+1.9 pts
27Kaufbeuren, Kreisfreie Stadt9.3-3.9 pts
28Baden-Baden, Stadtkreis9.1+1.7 pts
28Wetteraukreis9.1+1.1 pts
30Ammerland9+0.9 pts
30Herzogtum Lauenburg9+1.6 pts
30Schaumburg9+2.6 pts
33Alzey-Worms8.8+3.3 pts
34Cochem-Zell8.6+6.1 pts
34Harburg8.6+0.4 pts
34Prignitz8.6+4.1 pts
34Vorpommern-Greifswald8.6+5.3 pts
38Uelzen8.5+3.8 pts
39Herne, Kreisfreie Stadt8.3+3.3 pts
39Speyer, Kreisfreie Stadt8.3+1 pts
41Diepholz8+4.3 pts
41Mühldorf a. Inn8+1.3 pts
43Landshut, Landkreis7.9+0.6 pts
44Kitzingen7.8+3.8 pts
44Merzig-Wadern7.8+3.1 pts
46Euskirchen7.7+0.4 pts
46Friesland (DE)7.7-0.1 pts
46Ostprignitz-Ruppin7.7+2.9 pts
49Bad Dürkheim7.6+2.6 pts
49Oldenburg, Landkreis7.6-0.1 pts
51Leipzig, Kreisfreie Stadt7.5-1 pts
52Berchtesgadener Land7.4+3.6 pts
53Leipzig7.3-0.3 pts
54Dingolfing-Landau7.2+2.5 pts
54Rhein-Lahn-Kreis7.2+4 pts
54Stormarn7.2+0.6 pts
57Passau, Landkreis7.1+0.8 pts
57Pfaffenhofen a. d. Ilm7.1-0.5 pts
59Bad Kreuznach7+2.3 pts
59Helmstedt7+1.4 pts
59Pirmasens, Kreisfreie Stadt7+3.2 pts
62Ahrweiler6.9+0.1 pts
62Aurich6.9+4 pts
62Calw6.9+0.6 pts
65Dillingen a.d. Donau6.8-0.4 pts
65Jerichower Land6.8+2.5 pts
65Mecklenburgische Seenplatte6.8+4 pts
65Rottal-Inn6.8-3 pts
69Erlangen-Höchstadt6.7-1.2 pts
69Rotenburg (Wümme)6.7+1.8 pts
69Schwalm-Eder-Kreis6.7+4.4 pts
69Weimarer Land6.7+0.5 pts
69Weißenburg-Gunzenhausen6.7+0.7 pts
69Westerwaldkreis6.7+1.8 pts
75Schwabach, Kreisfreie Stadt6.6-0.2 pts
75Straubing-Bogen6.6+1 pts
75Unterallgäu6.6-2.5 pts
78Donnersbergkreis6.5-0.1 pts
78Grafschaft Bentheim6.5+1.1 pts
78Nienburg (Weser)6.5+2.7 pts
78Schwäbisch Hall6.5+1.5 pts
78Schwandorf6.5-0.2 pts
83Heinsberg6.4-0.8 pts
83Kleve6.4-1 pts
83Leer6.4-1.8 pts
83Memmingen, Kreisfreie Stadt6.4-1.8 pts
83Südwestpfalz6.4+2.9 pts
88Celle6.3+2.2 pts
88Emsland6.3+2.1 pts
90Rendsburg-Eckernförde6.2-2.4 pts
91Ludwigslust-Parchim6.1+4.8 pts
91Rhein-Hunsrück-Kreis6.1+0.5 pts
91Stade6.1-2.1 pts
91Tuttlingen6.1+1.5 pts
91Waldeck-Frankenberg6.1+4.7 pts
96Hameln-Pyrmont6+0.5 pts
96Kassel, Landkreis6+0.7 pts
96Limburg-Weilburg6+2.8 pts
96Nordsachsen6-0.2 pts
96Sächsische Schweiz-Osterzgebirge6+0.3 pts
96Südliche Weinstraße6+1.5 pts
102Ansbach, Landkreis5.9+0.9 pts
102Brandenburg an der Havel, Kreisfreie Stadt5.9-2.4 pts
102Dithmarschen5.9+0.1 pts
102Zollernalbkreis5.9+0.7 pts
106Mülheim an der Ruhr, Kreisfreie Stadt5.8+3.1 pts
106Weilheim-Schongau5.8+3.7 pts
108Bergstraße5.7+1.4 pts
108Karlsruhe, Landkreis5.7+2 pts
108Landsberg am Lech5.7+3.3 pts
108Odenwaldkreis5.7+2.8 pts
108Pinneberg5.7-2.3 pts
108Verden5.7+0.9 pts
114Altenkirchen (Westerwald)5.6+1.2 pts
114Neumarkt i. d. OPf.5.6-1.7 pts
114Osnabrück, Landkreis5.6+2.6 pts
117Ortenaukreis5.5+0.9 pts
118Alb-Donau-Kreis5.4+0.6 pts
119Bernkastel-Wittlich5.3+0.4 pts
119Ostallgäu5.3-1.4 pts
119Remscheid, Kreisfreie Stadt5.3-0.9 pts
119Saalekreis5.3+3.2 pts
119Wesel5.3+1.1 pts
124Aschaffenburg, Landkreis5.2+4 pts
124Bayreuth, Landkreis5.2+2 pts
124Breisgau-Hochschwarzwald5.2+2 pts
124Donau-Ries5.2+2.8 pts
124Main-Tauber-Kreis5.2+2.5 pts
124Neuwied5.2-2.2 pts
124Rastatt5.2+1.5 pts
124Segeberg5.2-1 pts
124Waldshut5.2+1.8 pts
133Neuburg-Schrobenhausen5.1-1.6 pts
133Rheingau-Taunus-Kreis5.1+2.1 pts
133Roth5.1+4.8 pts
133Schwerin, Kreisfreie Stadt5.1+2.4 pts
137Düren5-1.3 pts
137Heidekreis5-4.8 pts
137Hochtaunuskreis5+1.5 pts
137Lichtenfels5+2.1 pts
137Nürnberger Land5+0.6 pts
137Vogelsbergkreis5+1.6 pts
143Main-Kinzig-Kreis4.9-0.5 pts
144Hof, Landkreis4.8+3.9 pts
145Börde4.7+3.5 pts
145Göppingen4.7-0.3 pts
145Heilbronn, Landkreis4.7+1.4 pts
145Neunkirchen4.7+4.2 pts
145Neustadt a. d. Aisch-Bad Windsheim4.7-3.5 pts
145Neustadt an der Weinstraße, Kreisfreie Stadt4.7-2.7 pts
151Altötting4.60 pts
151Gießen, Landkreis4.6-2.5 pts
151Gifhorn4.6+0.6 pts
154Spree-Neiße4.5+1.7 pts
155Forchheim4.4+2.7 pts
155Freyung-Grafenau4.4+0.6 pts
155Mayen-Koblenz4.4+0.4 pts
155Wesermarsch4.4+0.5 pts
159Birkenfeld4.3-2.4 pts
160Gotha4.2+2.8 pts
160Kulmbach4.2+2.4 pts
160Miesbach4.2-0.7 pts
160Neckar-Odenwald-Kreis4.2+0.5 pts
164Hagen, Kreisfreie Stadt4.1+1.3 pts
164Kusel4.1+4.3 pts
164Rheinisch-Bergischer Kreis4.1+1.6 pts
164Vechta4.1-1.1 pts
164Wittenberg4.1+2.5 pts
169Erding4+1.2 pts
169Lindau (Bodensee)4-1.6 pts
169Rhein-Pfalz-Kreis4-1.1 pts
169Traunstein4+0.9 pts
169Vulkaneifel4-2.4 pts
174Coburg, Landkreis3.9+2.4 pts
174Neu-Ulm3.9-1.5 pts
174Rosenheim, Landkreis3.9+1.5 pts
174Uckermark3.9+1.5 pts
178Bad Kissingen3.8-0.8 pts
178Görlitz3.8+3.4 pts
178Neustadt a. d. Waldnaab3.8+2 pts
178Recklinghausen3.8+1.5 pts
182Biberach3.7-2.3 pts
182Cham3.7+0.2 pts
182Emmendingen3.7-2.8 pts
182Hildesheim3.7+1.8 pts
182Main-Taunus-Kreis3.70 pts
182Meißen3.7-0.6 pts
182Solingen, Kreisfreie Stadt3.7+1.5 pts
189Freudenstadt3.6-0.7 pts
189Greiz3.6+1.8 pts
189Holzminden3.6+2.9 pts
189Lahn-Dill-Kreis3.6+1.9 pts
193Rottweil3.5-0.5 pts
193Saale-Holzland-Kreis3.5-0.7 pts
195Bautzen3.4+0.7 pts
195Schweinfurt, Landkreis3.4-0.4 pts
197Deggendorf3.3+0.8 pts
197Kaiserslautern, Landkreis3.3+4 pts
197Schwarzwald-Baar-Kreis3.3+1.6 pts
200Bamberg, Landkreis3.2+1.7 pts
200Kelheim3.2-2.6 pts
200Offenbach, Landkreis3.2-1.7 pts
200Oldenburg (Oldenburg), Kreisfreie Stadt3.2-2.4 pts
200Regen3.2+3 pts
200Werra-Meißner-Kreis3.2+0.1 pts
206Enzkreis3.1-0.8 pts
206Günzburg3.1-6.8 pts
206Herford3.1+0.9 pts
206Konstanz3.1-1.2 pts
206Oberallgäu3.1-1.7 pts
206Würzburg, Landkreis3.1+0.4 pts
212Bottrop, Kreisfreie Stadt3-2.2 pts
212Rhein-Kreis Neuss3-1.1 pts
214Bad Tölz-Wolfratshausen2.8-3.3 pts
214Bodenseekreis2.8-4 pts
214Ebersberg2.8-7 pts
214Emden, Kreisfreie Stadt2.8+5.9 pts
214Heidenheim2.8-1.5 pts
219Steinburg2.70 pts
219Viersen2.7-0.5 pts
221Aichach-Friedberg2.6-5.2 pts
221Amberg-Sulzbach2.6+1.8 pts
221Northeim2.6-0.1 pts
221Rostock, Kreisfreie Stadt2.6-2.2 pts
221Saarpfalz-Kreis2.6-1.2 pts
221Sömmerda2.6-0.4 pts
221Wuppertal, Kreisfreie Stadt2.6-1.6 pts
228Elbe-Elster2.5+1.9 pts
228Lörrach2.5+1.5 pts
228Münster, Kreisfreie Stadt2.5+0.7 pts
228Ostalbkreis2.5+0.4 pts
228Reutlingen2.5+1.5 pts
228Schmalkalden-Meiningen2.5-26.2 pts
234Burgenlandkreis2.4+1.1 pts
234Leverkusen, Kreisfreie Stadt2.4+1.5 pts
234Mainz-Bingen2.4-0.9 pts
234Minden-Lübbecke2.4+0.8 pts
234Unstrut-Hainich-Kreis2.4+3.4 pts
239Essen, Kreisfreie Stadt2.3+1 pts
239Oberspreewald-Lausitz2.3+4 pts
239Saarlouis2.3+1.4 pts
239Zwickau2.3+1.6 pts
243Main-Spessart2.2+1.3 pts
243Tirschenreuth2.2+2.7 pts
245Borken2.1+0.4 pts
245Lüneburg, Landkreis2.1-3.5 pts
245Mettmann2.1-1.1 pts
245Miltenberg2.1+0.3 pts
245Vogtlandkreis2.1+0.4 pts
245Wolfenbüttel2.1+0.9 pts

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

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 areas 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

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, crude rate of net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3) (NUTS 3 areas of Germany 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), NUTS 3 areas of Germany 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/germany-provinces?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). NUTS 3 areas of Germany 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/germany-provinces?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), NUTS 3 areas of Germany 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/germany-provinces?period=2020 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_nuts_3_areas_of_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): NUTS 3 areas of Germany 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/germany-provinces?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): NUTS 3 areas of Germany 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/germany-provinces?period=2020
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-rate/germany-provinces?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  - 
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rank_places {"indicator":"net_migration_plus_adjustment_rate","level":"province","within":"Germany","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment_rate&level=province&within=Germany&limit=10

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Questions

Which area has the highest net migration rate including statistical adjustment?

Dahme-Spreewald, with 19.6 per 1,000 inhabitants in 2020, according to Eurostat, European Commission.

Which area has the lowest net migration rate including statistical adjustment?

Heidelberg, Stadtkreis, with -18.8 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

NUTS 3 areas of Germany: more rankings