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

Suhl, Kreisfreie Stadt had the highest net migration rate including statistical adjustment of 400 areas in 2019, at 64.8 per 1,000 inhabitants. Saalfeld-Rudolstadt had the lowest, at -21.4 per 1,000 inhabitants. The median was 3.8 per 1,000 inhabitants and the figure for Germany was 3.7 per 1,000 inhabitants. Source: Eurostat, European Commission.

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Median3.8400 areas
Germany3.7History

Top 40 areas, 2019

Suhl, Kreisfreie Stadt: 64.8 per 1,000 inhabitantsSuhl, Kreisfreie Stadt64.8Sonneberg: 37.3 per 1,000 inhabitantsSonneberg37.3Schmalkalden-Meiningen: 28.7 per 1,000 inhabitantsSchmalkalden-Meiningen28.7Barnim: 17.8 per 1,000 inhabitantsBarnim17.8Landshut, Kreisfreie Stadt: 14.9 per 1,000 inhabitantsLandshut, Kreisfreie Stadt14.9Dahme-Spreewald: 14.1 per 1,000 inhabitantsDahme-Spreewald14.1Teltow-Fläming: 13.7 per 1,000 inhabitantsTeltow-Fläming13.7Kaufbeuren, Kreisfreie Stadt: 13.2 per 1,000 inhabitantsKaufbeuren, Kreisfreie Stadt13.2Potsdam-Mittelmark: 12.6 per 1,000 inhabitantsPotsdam-Mittelmark12.6Märkisch-Oderland: 12.2 per 1,000 inhabitantsMärkisch-Oderland12.2Neumünster, Kreisfreie Stadt: 12.1 per 1,000 inhabitantsNeumünster, Kreisfreie Stadt12.1Potsdam, Kreisfreie Stadt: 12 per 1,000 inhabitantsPotsdam, Kreisfreie Stadt12Oberhavel: 11.6 per 1,000 inhabitantsOberhavel11.6Havelland: 11 per 1,000 inhabitantsHavelland11Amberg, Kreisfreie Stadt: 10.8 per 1,000 inhabitantsAmberg, Kreisfreie Stadt10.8Günzburg: 9.9 per 1,000 inhabitantsGünzburg9.9Ebersberg: 9.8 per 1,000 inhabitantsEbersberg9.8Heidekreis: 9.8 per 1,000 inhabitantsHeidekreis9.8Rottal-Inn: 9.8 per 1,000 inhabitantsRottal-Inn9.8Frankfurt am Main, Kreisfreie Stadt: 9.7 per 1,000 inhabitantsFrankfurt am Main, Kreisfreie Sta…9.7Passau, Kreisfreie Stadt: 9.5 per 1,000 inhabitantsPassau, Kreisfreie Stadt9.5Schleswig-Flensburg: 9.2 per 1,000 inhabitantsSchleswig-Flensburg9.2Unterallgäu: 9.1 per 1,000 inhabitantsUnterallgäu9.1Trier, Kreisfreie Stadt: 8.8 per 1,000 inhabitantsTrier, Kreisfreie Stadt8.8Peine: 8.7 per 1,000 inhabitantsPeine8.7Weiden i. d. Opf, Kreisfreie Stadt: 8.7 per 1,000 inhabitantsWeiden i. d. Opf, Kreisfreie Stadt8.7Rendsburg-Eckernförde: 8.6 per 1,000 inhabitantsRendsburg-Eckernförde8.6Leipzig, Kreisfreie Stadt: 8.5 per 1,000 inhabitantsLeipzig, Kreisfreie Stadt8.5Offenbach am Main, Kreisfreie Stadt: 8.5 per 1,000 inhabitantsOffenbach am Main, Kreisfreie Sta…8.5Brandenburg an der Havel, Kreisfreie Stadt: 8.3 per 1,000 inhabitantsBrandenburg an der Havel, Kreisfr…8.3Harburg: 8.2 per 1,000 inhabitantsHarburg8.2Leer: 8.2 per 1,000 inhabitantsLeer8.2Memmingen, Kreisfreie Stadt: 8.2 per 1,000 inhabitantsMemmingen, Kreisfreie Stadt8.2Neustadt a. d. Aisch-Bad Windsheim: 8.2 per 1,000 inhabitantsNeustadt a. d. Aisch-Bad Windsheim8.2Stade: 8.2 per 1,000 inhabitantsStade8.2Ammerland: 8.1 per 1,000 inhabitantsAmmerland8.1Flensburg, Kreisfreie Stadt: 8.1 per 1,000 inhabitantsFlensburg, Kreisfreie Stadt8.1Pinneberg: 8 per 1,000 inhabitantsPinneberg8Wetteraukreis: 8 per 1,000 inhabitantsWetteraukreis8Erlangen-Höchstadt: 7.9 per 1,000 inhabitantsErlangen-Höchstadt7.9Suhl, Kreisfreie Stadt: 64.8 per 1,000 inhabitantsSuhl, Kreisfreie Stadt64.8Sonneberg: 37.3 per 1,000 inhabitantsSonneberg37.3Schmalkalden-Meiningen: 28.7 per 1,000 inhabitantsSchmalkalden-Meiningen28.7Barnim: 17.8 per 1,000 inhabitantsBarnim17.8Landshut, Kreisfreie Stadt: 14.9 per 1,000 inhabitantsLandshut, Kreisfreie Stadt14.9Dahme-Spreewald: 14.1 per 1,000 inhabitantsDahme-Spreewald14.1Teltow-Fläming: 13.7 per 1,000 inhabitantsTeltow-Fläming13.7Kaufbeuren, Kreisfreie Stadt: 13.2 per 1,000 inhabitantsKaufbeuren, Kreisfreie Stadt13.2Potsdam-Mittelmark: 12.6 per 1,000 inhabitantsPotsdam-Mittelmark12.6Märkisch-Oderland: 12.2 per 1,000 inhabitantsMärkisch-Oderland12.2Neumünster, Kreisfreie Stadt: 12.1 per 1,000 inhabitantsNeumünster, Kreisfreie Stadt12.1Potsdam, Kreisfreie Stadt: 12 per 1,000 inhabitantsPotsdam, Kreisfreie Stadt12Oberhavel: 11.6 per 1,000 inhabitantsOberhavel11.6Havelland: 11 per 1,000 inhabitantsHavelland11Amberg, Kreisfreie Stadt: 10.8 per 1,000 inhabitantsAmberg, Kreisfreie Stadt10.8Günzburg: 9.9 per 1,000 inhabitantsGünzburg9.9Ebersberg: 9.8 per 1,000 inhabitantsEbersberg9.8Heidekreis: 9.8 per 1,000 inhabitantsHeidekreis9.8Rottal-Inn: 9.8 per 1,000 inhabitantsRottal-Inn9.8Frankfurt am Main, Kreisfreie Stadt: 9.7 per 1,000 inhabitantsFrankfurt am Main, Kreisfreie Stadt9.7Passau, Kreisfreie Stadt: 9.5 per 1,000 inhabitantsPassau, Kreisfreie Stadt9.5Schleswig-Flensburg: 9.2 per 1,000 inhabitantsSchleswig-Flensburg9.2Unterallgäu: 9.1 per 1,000 inhabitantsUnterallgäu9.1Trier, Kreisfreie Stadt: 8.8 per 1,000 inhabitantsTrier, Kreisfreie Stadt8.8Peine: 8.7 per 1,000 inhabitantsPeine8.7Weiden i. d. Opf, Kreisfreie Stadt: 8.7 per 1,000 inhabitantsWeiden i. d. Opf, Kreisfreie Stadt8.7Rendsburg-Eckernförde: 8.6 per 1,000 inhabitantsRendsburg-Eckernförde8.6Leipzig, Kreisfreie Stadt: 8.5 per 1,000 inhabitantsLeipzig, Kreisfreie Stadt8.5Offenbach am Main, Kreisfreie Stadt: 8.5 per 1,000 inhabitantsOffenbach am Main, Kreisfreie Stadt8.5Brandenburg an der Havel, Kreisfreie Stadt: 8.3 per 1,000 inhabitantsBrandenburg an der Havel, Kreisfreie Stadt8.3Harburg: 8.2 per 1,000 inhabitantsHarburg8.2Leer: 8.2 per 1,000 inhabitantsLeer8.2Memmingen, Kreisfreie Stadt: 8.2 per 1,000 inhabitantsMemmingen, Kreisfreie Stadt8.2Neustadt a. d. Aisch-Bad Windsheim: 8.2 per 1,000 inhabitantsNeustadt a. d. Aisch-Bad Windsheim8.2Stade: 8.2 per 1,000 inhabitantsStade8.2Ammerland: 8.1 per 1,000 inhabitantsAmmerland8.1Flensburg, Kreisfreie Stadt: 8.1 per 1,000 inhabitantsFlensburg, Kreisfreie Stadt8.1Pinneberg: 8 per 1,000 inhabitantsPinneberg8Wetteraukreis: 8 per 1,000 inhabitantsWetteraukreis8Erlangen-Höchstadt: 7.9 per 1,000 inhabitantsErlangen-Höchstadt7.9
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

RankAreas2019
per 1,000 inhabitants
Change on 2018
1Suhl, Kreisfreie Stadt64.8+63.6 pts
2Sonneberg37.3+30.8 pts
3Schmalkalden-Meiningen28.7+26 pts
4Barnim17.8+3.1 pts
5Landshut, Kreisfreie Stadt14.9-3.3 pts
6Dahme-Spreewald14.1-0.2 pts
7Teltow-Fläming13.7+1.7 pts
8Kaufbeuren, Kreisfreie Stadt13.2-0.2 pts
9Potsdam-Mittelmark12.6+2 pts
10Märkisch-Oderland12.2+0.1 pts
11Neumünster, Kreisfreie Stadt12.1+4.9 pts
12Potsdam, Kreisfreie Stadt12-0.1 pts
13Oberhavel11.6+1.2 pts
14Havelland11-1.1 pts
15Amberg, Kreisfreie Stadt10.8+12.3 pts
16Günzburg9.9+0.1 pts
17Ebersberg9.8+1.3 pts
17Heidekreis9.8+2 pts
17Rottal-Inn9.8+4.2 pts
20Frankfurt am Main, Kreisfreie Stadt9.7+5.6 pts
21Passau, Kreisfreie Stadt9.5-6.3 pts
22Schleswig-Flensburg9.2+2.2 pts
23Unterallgäu9.1-2.2 pts
24Trier, Kreisfreie Stadt8.8+2 pts
25Peine8.7+0.5 pts
25Weiden i. d. Opf, Kreisfreie Stadt8.7+5.1 pts
27Rendsburg-Eckernförde8.6+5.5 pts
28Leipzig, Kreisfreie Stadt8.5-1.1 pts
28Offenbach am Main, Kreisfreie Stadt8.5-3.8 pts
30Brandenburg an der Havel, Kreisfreie Stadt8.3-1.3 pts
31Harburg8.2+1.4 pts
31Leer8.2+0.5 pts
31Memmingen, Kreisfreie Stadt8.2-2 pts
31Neustadt a. d. Aisch-Bad Windsheim8.2-1 pts
31Stade8.2+0.7 pts
36Ammerland8.1+0.6 pts
36Flensburg, Kreisfreie Stadt8.1-4.7 pts
38Pinneberg8+0.3 pts
38Wetteraukreis8+1.9 pts
40Erlangen-Höchstadt7.9+0.2 pts
40Lüchow-Dannenberg7.9-1.6 pts
42Aichach-Friedberg7.8+1.1 pts
42Friesland (DE)7.8+2.3 pts
42Landkreis Rostock7.8+1 pts
42Nordfriesland7.8+2.8 pts
46Oldenburg, Landkreis7.7+3.4 pts
47Augsburg, Landkreis7.6+0.8 pts
47Leipzig7.6+2 pts
47Pfaffenhofen a. d. Ilm7.6+1.5 pts
50Aschaffenburg, Kreisfreie Stadt7.5-2.9 pts
50Nordwestmecklenburg7.5+3.9 pts
52Baden-Baden, Stadtkreis7.4-4.5 pts
52Herzogtum Lauenburg7.4-1.2 pts
52Kleve7.4+5.5 pts
52Neustadt an der Weinstraße, Kreisfreie Stadt7.4+7.4 pts
52Neuwied7.4+2.6 pts
57Euskirchen7.3+1.4 pts
57Landshut, Landkreis7.3-1.5 pts
57Neumarkt i. d. OPf.7.3+0.4 pts
57Osterholz7.30 pts
57Speyer, Kreisfreie Stadt7.3+15.1 pts
57Vorpommern-Rügen7.3+1.6 pts
63Dillingen a.d. Donau7.2-2.5 pts
63Eifelkreis Bitburg-Prüm7.2+1.5 pts
63Hamm, Kreisfreie Stadt7.2+5.3 pts
63Heinsberg7.2-0.1 pts
63Ostholstein7.2-0.2 pts
68Gießen, Landkreis7.1+0.1 pts
69Oder-Spree6.9-0.6 pts
70Ahrweiler6.8-3.3 pts
70Bodenseekreis6.8-1.3 pts
70Schwabach, Kreisfreie Stadt6.8+4.6 pts
73Birkenfeld6.7+0.4 pts
73Mühldorf a. Inn6.7-1.7 pts
73Neuburg-Schrobenhausen6.7+1.7 pts
73Ostallgäu6.7-0.2 pts
73Schwandorf6.7-0.8 pts
78Donnersbergkreis6.6+2.8 pts
78Ludwigshafen am Rhein, Kreisfreie Stadt6.6-8.1 pts
78Stormarn6.6+0.6 pts
81Emmendingen6.5+1.7 pts
82Schaumburg6.4+1.2 pts
82Vulkaneifel6.4+1.8 pts
84Calw6.3-0.5 pts
84Düren6.30 pts
84Passau, Landkreis6.3-4.7 pts
84Wittmund6.3-2.7 pts
88Bonn, Kreisfreie Stadt6.2+2.2 pts
88Nordsachsen6.2+0.7 pts
88Remscheid, Kreisfreie Stadt6.2-0.5 pts
88Segeberg6.2-3.6 pts
88Weimarer Land6.2+4.1 pts
93Bad Tölz-Wolfratshausen6.1+1.4 pts
93Fürth, Landkreis6.1-6.1 pts
95Biberach6-0.4 pts
95Bochum, Kreisfreie Stadt6+5.1 pts
95Frankenthal (Pfalz), Kreisfreie Stadt6+1.2 pts
95Weißenburg-Gunzenhausen6+1.3 pts
99Bayreuth, Kreisfreie Stadt5.8-7 pts
99Braunschweig, Kreisfreie Stadt5.8+2.5 pts
99Dithmarschen5.8+0.9 pts
99Kelheim5.8-2.7 pts
99Landau in der Pfalz, Kreisfreie Stadt5.8-4.6 pts
104Hohenlohekreis5.7-0.5 pts
104Sächsische Schweiz-Osterzgebirge5.7-0.5 pts
104Starnberg5.7+0.8 pts
107Helmstedt5.6+3.9 pts
107Lindau (Bodensee)5.6-3 pts
107Lüneburg, Landkreis5.6+1.4 pts
107Oldenburg (Oldenburg), Kreisfreie Stadt5.6-1.6 pts
107Rhein-Hunsrück-Kreis5.6+1.8 pts
107Straubing-Bogen5.6-3 pts
113Alzey-Worms5.5-0.8 pts
113Cloppenburg5.5-1.1 pts
113Hameln-Pyrmont5.5-3 pts
113Weimar, Kreisfreie Stadt5.5-8 pts
117Berlin5.4-2 pts
117Grafschaft Bentheim5.4-0.5 pts
117Main-Kinzig-Kreis5.4+2.3 pts
117Neu-Ulm5.4-4.4 pts
121Kassel, Landkreis5.3+0.5 pts
122Bottrop, Kreisfreie Stadt5.2+0.4 pts
122Erlangen, Kreisfreie Stadt5.2-3.1 pts
122Fürth, Kreisfreie Stadt5.2-4 pts
122Mainz, Kreisfreie Stadt5.2-2.8 pts
122Vechta5.2+0.2 pts
122Zollernalbkreis5.2-1.1 pts
128Rhein-Pfalz-Kreis5.1-0.5 pts
129Ansbach, Landkreis5-0.7 pts
129Augsburg, Kreisfreie Stadt5-2.8 pts
129Bad Dürkheim5+1.3 pts
129Cuxhaven5-1.3 pts
129Dachau5-1.5 pts
129Göppingen5+0.4 pts
129Herne, Kreisfreie Stadt5+0.2 pts
129Schwäbisch Hall5-4 pts
129Trier-Saarburg5-0.1 pts
138Bernkastel-Wittlich4.9-0.3 pts
138Heilbronn, Stadtkreis4.9-1.8 pts
138Mannheim, Stadtkreis4.9+0.3 pts
138Miesbach4.9-2.3 pts
138Offenbach, Landkreis4.9-1.7 pts
138Rotenburg (Wümme)4.9+1.7 pts
138Westerwaldkreis4.9-0.6 pts
145Alb-Donau-Kreis4.8-1.8 pts
145Oberallgäu4.8-1.1 pts
145Ostprignitz-Ruppin4.8+0.9 pts
145Plön4.8+1.8 pts
145Rostock, Kreisfreie Stadt4.80 pts
145Verden4.8+1.3 pts
151Bad Kreuznach4.7-2 pts
151Dingolfing-Landau4.7-0.2 pts
151Krefeld, Kreisfreie Stadt4.7-0.3 pts
151Merzig-Wadern4.7+2 pts
151Uelzen4.7-0.1 pts
156Altötting4.6-4.1 pts
156Bad Kissingen4.6-0.6 pts
156Ortenaukreis4.6-4.8 pts
156Städteregion Aachen4.6+0.2 pts
156Tuttlingen4.6-0.4 pts
161Kempten (Allgäu), Kreisfreie Stadt4.5-4.6 pts
161Prignitz4.5+5 pts
161Südliche Weinstraße4.5+3.3 pts
164Altenkirchen (Westerwald)4.4+1.3 pts
164Coesfeld4.4+0.6 pts
164München, Kreisfreie Stadt4.4-1.7 pts
164München, Landkreis4.4-2.4 pts
164Nürnberger Land4.4-2.5 pts
169Bergstraße4.3-1.7 pts
169Freudenstadt4.3-1.1 pts
169Goslar4.3-0.7 pts
169Heidenheim4.3-1.3 pts
169Jerichower Land4.3+2.5 pts
169Kaiserslautern, Kreisfreie Stadt4.3+0.6 pts
169Konstanz4.3-0.8 pts
169Meißen4.3+1.2 pts
169Unna4.3-2.2 pts
178Emsland4.2-2.6 pts
178Harz4.2+3.7 pts
178Saale-Holzland-Kreis4.2-0.8 pts
178Wesel4.2+2 pts
178Wuppertal, Kreisfreie Stadt4.2+0.1 pts
183Celle4.1-1.2 pts
183Rhein-Kreis Neuss4.1-1.5 pts
183Tübingen, Landkreis4.1-0.9 pts
183Wilhelmshaven, Kreisfreie Stadt4.1-1.9 pts
187Ennepe-Ruhr-Kreis4+0.2 pts
187Fulda4-1.2 pts
187Gifhorn4-0.9 pts
187Kitzingen4-3.4 pts
187Mayen-Koblenz4-1.6 pts
187Rottweil4-1.4 pts
187Worms, Kreisfreie Stadt4+0.2 pts
187Zweibrücken, Kreisfreie Stadt4+0.2 pts
195Düsseldorf, Kreisfreie Stadt3.9+1.3 pts
195Enzkreis3.9+0.8 pts
195Frankfurt (Oder), Kreisfreie Stadt3.9+3.1 pts
195Wesermarsch3.9+3.7 pts
199Berchtesgadener Land3.8-4.2 pts
199Dortmund, Kreisfreie Stadt3.8+1 pts
199Freyung-Grafenau3.8-0.6 pts
199Heidelberg, Stadtkreis3.8+7.7 pts
199Nienburg (Weser)3.8-0.4 pts
199Pirmasens, Kreisfreie Stadt3.8+1.1 pts
199Saarpfalz-Kreis3.8+3 pts
199Schweinfurt, Landkreis3.8+2.1 pts
207Diepholz3.7-3.5 pts
207Karlsruhe, Landkreis3.7-1.4 pts
207Main-Taunus-Kreis3.7+0.2 pts
207Marburg-Biedenkopf3.7-0.1 pts
207Neckar-Odenwald-Kreis3.7-0.3 pts
207Rastatt3.7-1.8 pts
213Cham3.5-4 pts
213Groß-Gerau3.5-6.5 pts
213Hochtaunuskreis3.5-1 pts
213Südwestpfalz3.5+1.5 pts
217Ravensburg3.4+0.7 pts
217Vogelsbergkreis3.4+3.3 pts
217Waldshut3.4-0.8 pts
220Dresden, Kreisfreie Stadt3.3-2.2 pts
220Heilbronn, Landkreis3.3-3 pts
220Mainz-Bingen3.3-2.8 pts
220Oberhausen, Kreisfreie Stadt3.3+1.9 pts
220Rhein-Sieg-Kreis3.3+0.8 pts
220Vorpommern-Greifswald3.3-2.5 pts
226Bayreuth, Landkreis3.2+0.6 pts
226Breisgau-Hochschwarzwald3.2+1.5 pts
226Limburg-Weilburg3.2-0.5 pts
226Mettmann3.2-1.3 pts
226Rhein-Lahn-Kreis3.2-0.4 pts
226Viersen3.2-0.3 pts
232Osnabrück, Kreisfreie Stadt3.1+0.9 pts
232Traunstein3.1-3.8 pts
232Werra-Meißner-Kreis3.1-3 pts
235Osnabrück, Landkreis3-2.2 pts
235Rheingau-Taunus-Kreis3-2.5 pts
235Sömmerda3+2.3 pts
235Straubing, Kreisfreie Stadt3-4.9 pts
239Aurich2.9-1.3 pts
239Lichtenfels2.9-2.5 pts
239Odenwaldkreis2.9-3.5 pts
239Rems-Murr-Kreis2.9-0.3 pts
239Wolfsburg, Kreisfreie Stadt2.9-0.4 pts
244Erding2.8-1.3 pts
244Hagen, Kreisfreie Stadt2.8-6.4 pts
244Mecklenburgische Seenplatte2.8+1.6 pts
244Pforzheim, Stadtkreis2.8-7.1 pts
244Salzlandkreis2.8+3.8 pts
244Spree-Neiße2.8+3.9 pts
250Bautzen2.7+1.8 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, 2019) [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, 2019. 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=2019. 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, 2019. 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=2019.

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, 2019 [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=2019 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_nuts_3_areas_of_2019,
  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, 2019}},
  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=2019. 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, 2019
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=2019
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-rate/germany-provinces?period=2019.
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 NUTS 3 areas of Germany by net migration rate including statistical adjustment using official data, and cite the source.
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?

Suhl, Kreisfreie Stadt, with 64.8 per 1,000 inhabitants in 2019, according to Eurostat, European Commission.

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

Saalfeld-Rudolstadt, with -21.4 per 1,000 inhabitants in 2019.

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