NUTS 3 areas of Germany by net migration including statistical adjustment

Berlin had the highest net migration including statistical adjustment of 400 areas in 2019, at 19,901. Wartburgkreis had the lowest, at -3,223. The median was 564 and the figure for Germany was 308,928. Source: Eurostat, European Commission.

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Highest19,901Berlin
Lowest-3,223Wartburgkreis
Median564400 areas
Germany308,928History

Top 40 areas, 2019

Berlin: 19,901 personsBerlin19,901Frankfurt am Main, Kreisfreie Stadt: 7,363 personsFrankfurt am Main, Kreisfreie Sta…7,363München, Kreisfreie Stadt: 6,429 personsMünchen, Kreisfreie Stadt6,429Leipzig, Kreisfreie Stadt: 5,039 personsLeipzig, Kreisfreie Stadt5,039Schmalkalden-Meiningen: 3,551 personsSchmalkalden-Meiningen3,551Barnim: 3,279 personsBarnim3,279Potsdam-Mittelmark: 2,707 personsPotsdam-Mittelmark2,707Hamburg: 2,608 personsHamburg2,608Städteregion Aachen: 2,585 personsStädteregion Aachen2,585Pinneberg: 2,518 personsPinneberg2,518Oberhavel: 2,461 personsOberhavel2,461Wetteraukreis: 2,451 personsWetteraukreis2,451Düsseldorf, Kreisfreie Stadt: 2,439 personsDüsseldorf, Kreisfreie Stadt2,439Dahme-Spreewald: 2,390 personsDahme-Spreewald2,390Märkisch-Oderland: 2,379 personsMärkisch-Oderland2,379Rendsburg-Eckernförde: 2,364 personsRendsburg-Eckernförde2,364Teltow-Fläming: 2,324 personsTeltow-Fläming2,324Suhl, Kreisfreie Stadt: 2,321 personsSuhl, Kreisfreie Stadt2,321Kleve: 2,315 personsKleve2,315Main-Kinzig-Kreis: 2,285 personsMain-Kinzig-Kreis2,285Dortmund, Kreisfreie Stadt: 2,260 personsDortmund, Kreisfreie Stadt2,260Bochum, Kreisfreie Stadt: 2,208 personsBochum, Kreisfreie Stadt2,208Potsdam, Kreisfreie Stadt: 2,145 personsPotsdam, Kreisfreie Stadt2,145Sonneberg: 2,123 personsSonneberg2,123Harburg: 2,070 personsHarburg2,070Bonn, Kreisfreie Stadt: 2,043 personsBonn, Kreisfreie Stadt2,043Rhein-Sieg-Kreis: 1,984 personsRhein-Sieg-Kreis1,984Leipzig: 1,972 personsLeipzig1,972Ortenaukreis: 1,968 personsOrtenaukreis1,968Augsburg, Landkreis: 1,917 personsAugsburg, Landkreis1,917Wesel: 1,910 personsWesel1,910Gießen, Landkreis: 1,909 personsGießen, Landkreis1,909Schleswig-Flensburg: 1,849 personsSchleswig-Flensburg1,849Heinsberg: 1,839 personsHeinsberg1,839Rhein-Kreis Neuss: 1,831 personsRhein-Kreis Neuss1,831Dresden, Kreisfreie Stadt: 1,827 personsDresden, Kreisfreie Stadt1,827Havelland: 1,779 personsHavelland1,779Offenbach, Landkreis: 1,754 personsOffenbach, Landkreis1,754Segeberg: 1,712 personsSegeberg1,712Unna: 1,697 personsUnna1,697Berlin: 19,901 personsBerlin19,901Frankfurt am Main, Kreisfreie Stadt: 7,363 personsFrankfurt am Main, Kreisfreie Stadt7,363München, Kreisfreie Stadt: 6,429 personsMünchen, Kreisfreie Stadt6,429Leipzig, Kreisfreie Stadt: 5,039 personsLeipzig, Kreisfreie Stadt5,039Schmalkalden-Meiningen: 3,551 personsSchmalkalden-Meiningen3,551Barnim: 3,279 personsBarnim3,279Potsdam-Mittelmark: 2,707 personsPotsdam-Mittelmark2,707Hamburg: 2,608 personsHamburg2,608Städteregion Aachen: 2,585 personsStädteregion Aachen2,585Pinneberg: 2,518 personsPinneberg2,518Oberhavel: 2,461 personsOberhavel2,461Wetteraukreis: 2,451 personsWetteraukreis2,451Düsseldorf, Kreisfreie Stadt: 2,439 personsDüsseldorf, Kreisfreie Stadt2,439Dahme-Spreewald: 2,390 personsDahme-Spreewald2,390Märkisch-Oderland: 2,379 personsMärkisch-Oderland2,379Rendsburg-Eckernförde: 2,364 personsRendsburg-Eckernförde2,364Teltow-Fläming: 2,324 personsTeltow-Fläming2,324Suhl, Kreisfreie Stadt: 2,321 personsSuhl, Kreisfreie Stadt2,321Kleve: 2,315 personsKleve2,315Main-Kinzig-Kreis: 2,285 personsMain-Kinzig-Kreis2,285Dortmund, Kreisfreie Stadt: 2,260 personsDortmund, Kreisfreie Stadt2,260Bochum, Kreisfreie Stadt: 2,208 personsBochum, Kreisfreie Stadt2,208Potsdam, Kreisfreie Stadt: 2,145 personsPotsdam, Kreisfreie Stadt2,145Sonneberg: 2,123 personsSonneberg2,123Harburg: 2,070 personsHarburg2,070Bonn, Kreisfreie Stadt: 2,043 personsBonn, Kreisfreie Stadt2,043Rhein-Sieg-Kreis: 1,984 personsRhein-Sieg-Kreis1,984Leipzig: 1,972 personsLeipzig1,972Ortenaukreis: 1,968 personsOrtenaukreis1,968Augsburg, Landkreis: 1,917 personsAugsburg, Landkreis1,917Wesel: 1,910 personsWesel1,910Gießen, Landkreis: 1,909 personsGießen, Landkreis1,909Schleswig-Flensburg: 1,849 personsSchleswig-Flensburg1,849Heinsberg: 1,839 personsHeinsberg1,839Rhein-Kreis Neuss: 1,831 personsRhein-Kreis Neuss1,831Dresden, Kreisfreie Stadt: 1,827 personsDresden, Kreisfreie Stadt1,827Havelland: 1,779 personsHavelland1,779Offenbach, Landkreis: 1,754 personsOffenbach, Landkreis1,754Segeberg: 1,712 personsSegeberg1,712Unna: 1,697 personsUnna1,697
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

RankAreas2019
persons
Change on 2018
1Berlin19,901-26.4%
2Frankfurt am Main, Kreisfreie Stadt7,363+138.5%
3München, Kreisfreie Stadt6,429-27.8%
4Leipzig, Kreisfreie Stadt5,039-10.2%
5Schmalkalden-Meiningen3,551+953.7%
6Barnim3,279+22.8%
7Potsdam-Mittelmark2,707+19.6%
8Hamburg2,608-65.9%
9Städteregion Aachen2,585+6.1%
10Pinneberg2,518+4.2%
11Oberhavel2,461+12.2%
12Wetteraukreis2,451+31.8%
13Düsseldorf, Kreisfreie Stadt2,439+53.9%
14Dahme-Spreewald2,390-0.7%
15Märkisch-Oderland2,379+1.4%
16Rendsburg-Eckernförde2,364+175.5%
17Teltow-Fläming2,324+15.3%
18Suhl, Kreisfreie Stadt2,321+5,297.7%
19Kleve2,315+297.8%
20Main-Kinzig-Kreis2,285+76.4%
21Dortmund, Kreisfreie Stadt2,260+35.9%
22Bochum, Kreisfreie Stadt2,208+579.4%
23Potsdam, Kreisfreie Stadt2,1450%
24Sonneberg2,123+481.6%
25Harburg2,070+20.1%
26Bonn, Kreisfreie Stadt2,043+57.5%
27Rhein-Sieg-Kreis1,984+32.2%
28Leipzig1,972+35.6%
29Ortenaukreis1,968-51%
30Augsburg, Landkreis1,917+12.5%
31Wesel1,910+84.9%
32Gießen, Landkreis1,909+1.1%
33Schleswig-Flensburg1,849+32.2%
34Heinsberg1,839-1%
35Rhein-Kreis Neuss1,831-27.8%
36Dresden, Kreisfreie Stadt1,827-40.1%
37Havelland1,779-8.7%
38Offenbach, Landkreis1,754-25.1%
39Segeberg1,712-36.6%
40Unna1,697-34%
41Landkreis Rostock1,686+15.6%
42Stade1,668+9.8%
43Düren1,663+0.5%
44Vorpommern-Rügen1,640+26.9%
45Karlsruhe, Landkreis1,632-27.9%
46Stormarn1,611+11.2%
47Mettmann1,546-28.7%
48München, Landkreis1,533-34.7%
49Mannheim, Stadtkreis1,530+8.4%
50Wuppertal, Kreisfreie Stadt1,492+2.7%
51Augsburg, Kreisfreie Stadt1,476-35.7%
52Herzogtum Lauenburg1,470-13.4%
53Bodenseekreis1,465-15.7%
54Ostholstein1,453-2.7%
55Rhein-Neckar-Kreis1,444-19%
56Recklinghausen1,440+35.7%
57Braunschweig, Kreisfreie Stadt1,439+77.9%
58Euskirchen1,407+23%
59Sächsische Schweiz-Osterzgebirge1,400-7.6%
60Ebersberg1,396+16.7%
61Leer1,392+6.6%
62Heidekreis1,370+26.3%
63Emsland1,359-38.2%
64Neuwied1,353+53.9%
65Region Hannover1,333-79.7%
66Unterallgäu1,318-18.5%
67Ennepe-Ruhr-Kreis1,299+4.8%
68Nordfriesland1,297+57.4%
69Hamm, Kreisfreie Stadt1,287+286.5%
70Göppingen1,276+7%
71Kassel, Landkreis1,259+11.6%
72Günzburg1,257+2.9%
73Rems-Murr-Kreis1,252-7.9%
74Rhein-Erft-Kreis1,239-65.6%
75Oder-Spree1,238-7.3%
76Konstanz1,222-15%
77Nordsachsen1,218+11.8%
78Passau, Landkreis1,215-42.3%
79Biberach1,212-5.2%
80Rottal-Inn1,189+75.1%
81Nordwestmecklenburg1,176+108.9%
82Bergstraße1,170-27.8%
82Peine1,170+7.3%
84Landshut, Landkreis1,163-16.4%
85Esslingen1,151-15.1%
86Heilbronn, Landkreis1,149-47.1%
87Mainz, Kreisfreie Stadt1,142-33.9%
88Ludwigshafen am Rhein, Kreisfreie Stadt1,130-54.7%
89Offenbach am Main, Kreisfreie Stadt1,105-29.6%
90Landshut, Kreisfreie Stadt1,083-16.9%
91Erlangen-Höchstadt1,082+4%
92Emmendingen1,080+36.5%
93Krefeld, Kreisfreie Stadt1,071-5.8%
94Osnabrück, Landkreis1,069-42.5%
95Aichach-Friedberg1,049+17.3%
96Duisburg, Kreisfreie Stadt1,039-36.9%
97Meißen1,031+35.1%
98Lüneburg, Landkreis1,020+34%
99Ammerland1,013+9.9%
100Schaumburg1,008+21.9%
101Oldenburg, Landkreis1,005+78.8%
102Calw997-6.6%
103Rostock, Kreisfreie Stadt994-0.9%
104Cuxhaven993-20.8%
105Schwäbisch Hall985-44.1%
105Schwandorf985-10%
107Neumarkt i. d. OPf.984+6.7%
108Westerwaldkreis983-11.9%
109Zollernalbkreis982-17.4%
110Trier, Kreisfreie Stadt978+30.6%
111Pfaffenhofen a. d. Ilm968+24.3%
112Coesfeld967+17.1%
112Ravensburg967+27.6%
114Neumünster, Kreisfreie Stadt966+68.6%
115Groß-Gerau956-65%
116Alb-Donau-Kreis949-26.1%
116Oldenburg (Oldenburg), Kreisfreie Stadt949-20.9%
118Ostallgäu947-2.2%
119Viersen944-9.4%
120Tübingen, Landkreis940-17.6%
121Cloppenburg936-16.1%
122Neu-Ulm935-45.1%
123Ansbach, Landkreis921-12.5%
124Marburg-Biedenkopf905-4.2%
125Fulda901-21.4%
126Harz891+655.1%
127Ahrweiler885-32.4%
128Main-Taunus-Kreis870+5.3%
129Mayen-Koblenz867-27%
130Gütersloh864-26%
131Ludwigsburg858-1.5%
132Rastatt850-33.3%
133Breisgau-Hochschwarzwald835+91.5%
134Osterholz831+0.4%
135Hochtaunuskreis827-21.8%
136Neustadt a. d. Aisch-Bad Windsheim825-10.6%
137Bautzen817+215.4%
137Hameln-Pyrmont817-35.5%
139Steinfurt810-37.2%
140Diepholz797-48.7%
140Rotenburg (Wümme)797+50.7%
142Rhein-Pfalz-Kreis789-7.9%
143Vorpommern-Greifswald785-42.4%
144Starnberg781+16.4%
145Herne, Kreisfreie Stadt778+4.4%
146Bad Tölz-Wolfratshausen777+29.3%
146Dithmarschen777+20.1%
148Enzkreis776+24.8%
149Dachau772-22%
150Friesland (DE)770+43.4%
151Mühldorf a. Inn769-19.9%
152Darmstadt-Dieburg766-51%
153Nürnberger Land757-35.6%
154Trier-Saarburg747-2.1%
155Oberallgäu745-18.8%
156Grafschaft Bentheim741-7.8%
157Celle740-21.2%
158Bad Kreuznach739-30%
158Vechta739+4.4%
160Essen, Kreisfreie Stadt730-44.4%
161Flensburg, Kreisfreie Stadt727-36%
162Paderborn725-47.5%
163Rheinisch-Bergischer Kreis717-38.6%
164Mecklenburgische Seenplatte716+135.5%
165Fürth, Landkreis713-50.1%
166Kelheim710-31.1%
167Eifelkreis Bitburg-Prüm708+26.7%
168Alzey-Worms707-12.8%
169Gifhorn702-18.5%
170Dillingen a.d. Donau691-25.5%
171Mainz-Bingen688-46.6%
172Oberhausen, Kreisfreie Stadt687+140.2%
172Remscheid, Kreisfreie Stadt687-7.8%
174Fürth, Kreisfreie Stadt669-42.9%
175Bad Dürkheim667+37%
176Ostalbkreis662-65.6%
177Verden658+38.5%
178Neuburg-Schrobenhausen653+36%
179Tuttlingen644-8.3%
180Borken641-29%
180Hohenlohekreis641-7.6%
182Rosenheim, Landkreis629-64%
183Köln, Kreisfreie Stadt626-83.3%
184Heilbronn, Stadtkreis620-25.8%
185Plön617+58.2%
186Bottrop, Kreisfreie Stadt613+8.5%
187Heidelberg, Stadtkreis610+197.1%
188Brandenburg an der Havel, Kreisfreie Stadt596-13.9%
189Soest591-43.7%
190Goslar584-15.6%
191Erlangen, Kreisfreie Stadt583-37.2%
192Kaufbeuren, Kreisfreie Stadt582-0.5%
193Rhein-Hunsrück-Kreis578+48.6%
194Waldshut574-18.9%
195Heidenheim573-22.8%
196Altenkirchen (Westerwald)572+41.6%
197Böblingen570-59%
198Münster, Kreisfreie Stadt569+102.5%
199Rheingau-Taunus-Kreis566-44.8%
200Rottweil564-25%
200Straubing-Bogen564-34.9%
200Weißenburg-Gunzenhausen564+26.2%
203Traunstein556-54.2%
204Warendorf552-29.9%
205Bernkastel-Wittlich550-5.3%
206Limburg-Weilburg545-15.2%
207Herford542+642.5%
208Aurich541-32.8%
208Birkenfeld541+5.7%
210Erfurt, Kreisfreie Stadt537-49.5%
211Saarpfalz-Kreis535+386.4%
212Hildesheim533-56.7%
213Hagen, Kreisfreie Stadt532-69.2%
214Aschaffenburg, Kreisfreie Stadt528-27.6%
215Salzlandkreis527+370.3%
216Neckar-Odenwald-Kreis526-8.7%
217Regensburg, Landkreis514-65.1%
218Freudenstadt511-19.1%
218Osnabrück, Kreisfreie Stadt511+39.6%
220Helmstedt510+218.8%
220Weimarer Land510+189.8%
222Altötting509-47.1%
223Regionalverband Saarbrücken507-50%
224Kassel, Kreisfreie Stadt500-44%
225Südliche Weinstraße499+275.2%
226Passau, Kreisfreie Stadt498-39.3%
227Minden-Lübbecke496-2.7%
228Donnersbergkreis493+72.4%
229Merzig-Wadern489+76.5%
230Freising486-18.3%
230Miesbach486-32.1%
232Bad Kissingen476-12%
232Ostprignitz-Ruppin476+24.3%
234Nürnberg, Kreisfreie Stadt471-85.2%
235Mülheim an der Ruhr, Kreisfreie Stadt462+115.9%
235Nienburg (Weser)462-10.3%
237Lindau (Bodensee)455-35.2%
238Amberg, Kreisfreie Stadt453+819%
238Cham453-52.7%
240Dingolfing-Landau450-5.3%
241Schweinfurt, Landkreis443+128.4%
242Bielefeld, Kreisfreie Stadt439-70.5%
243Uelzen437-1.1%
244Bayreuth, Kreisfreie Stadt433-54.3%
244Würzburg, Landkreis433-10.4%
246Kaiserslautern, Kreisfreie Stadt432+17.7%
247Lahn-Dill-Kreis428-2.3%
248Oberbergischer Kreis425+35.8%
249Schwalm-Eder-Kreis413-22.4%
250Baden-Baden, Stadtkreis408-37.8%

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, 2019) [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, 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-including-statistical-adjustment/germany-provinces?period=2019. 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, 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-including-statistical-adjustment/germany-provinces?period=2019.

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

BibTeX
@misc{eurostat_nuts_3_areas_of_2019,
  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, 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-including-statistical-adjustment/germany-provinces?period=2019. 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, 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-including-statistical-adjustment/germany-provinces?period=2019
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/germany-provinces?period=2019.
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 19,901 in 2019, according to Eurostat, European Commission.

Which area has the lowest net migration including statistical adjustment?

Wartburgkreis, with -3,223 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, 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