NUTS 3 areas of Germany by net migration including statistical adjustment

Städteregion Aachen had the highest net migration including statistical adjustment of 400 areas in 2022, at 25,772. Köln, Kreisfreie Stadt had the lowest, at -51,437. The median was 631 and the figure for Germany was 208,899. Source: Eurostat, European Commission.

Highest25,772Städteregion Aachen

Lowest-51,437Köln, Kreisfreie Stadt

Median631400 areas

Germany208,899History

Top 40 areas, 2022

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

Rank	Areas	2022 persons	Change on 2021
1	Städteregion Aachen Series break	25,772	+1,943.8%
2	Bremen, Kreisfreie Stadt Series break	15,382	+708.2%
3	Dortmund, Kreisfreie Stadt Series break	14,709	+3,258.2%
4	Nürnberg, Kreisfreie Stadt Series break	14,474	+446.2%
5	Saarlouis Series break	13,577	+1,172.4%
6	Recklinghausen Series break	12,790	+496.3%
7	Rems-Murr-Kreis Series break	11,538	+3,344.2%
8	Düren Series break	11,010	+367.7%
9	Minden-Lübbecke Series break	10,820	+491.9%
10	Rhein-Neckar-Kreis Series break	8,950	+460.8%
11	Duisburg, Kreisfreie Stadt Series break	8,908	+1,327.6%
12	Pforzheim, Stadtkreis Series break	8,438	+2,168.1%
13	Mettmann Series break	7,742	+237.5%
14	Mönchengladbach, Kreisfreie Stadt Series break	7,472	+264.1%
15	Ortenaukreis Series break	7,391	+189.6%
16	Magdeburg, Kreisfreie Stadt Series break	7,215	+336.2%
17	Solingen, Kreisfreie Stadt Series break	7,123	+1,526.3%
18	Merzig-Wadern Series break	6,832	+947.9%
19	Erfurt, Kreisfreie Stadt Series break	6,615	+1,482.5%
20	Lörrach Series break	6,435	+594.9%
21	Märkischer Kreis Series break	6,375	+49,138.5%
22	Harburg Series break	6,333	+214.4%
23	Wiesbaden, Kreisfreie Stadt Series break	6,231	+2,287.4%
24	Karlsruhe, Landkreis Series break	6,088	+150.4%
25	Bremerhaven, Kreisfreie Stadt Series break	6,086	+8,471.8%
26	Göttingen Series break	6,023	+413%
27	Dresden, Kreisfreie Stadt Series break	5,983	+59,930%
28	Oberhausen, Kreisfreie Stadt Series break	5,846	+2,002.9%
29	Herford Series break	5,679	+522.7%
30	Regionalverband Saarbrücken Series break	5,608	+286.8%
31	Flensburg, Kreisfreie Stadt Series break	5,490	+293.8%
32	Bad Kreuznach Series break	5,458	+333.5%
33	Wuppertal, Kreisfreie Stadt Series break	5,396	+1,245.6%
34	Gelsenkirchen, Kreisfreie Stadt Series break	5,374	+204.6%
35	Euskirchen Series break	5,350	+377.3%
36	Braunschweig, Kreisfreie Stadt Series break	5,349	+552.3%
37	Rhein-Kreis Neuss Series break	5,128	+261.4%
38	Grafschaft Bentheim Series break	5,041	+543%
39	Nordsachsen Series break	4,958	+173.2%
40	Pinneberg Series break	4,898	+114.4%
41	Paderborn Series break	4,861	+467.2%
42	Darmstadt-Dieburg Series break	4,829	+1,524.5%
43	Unna Series break	4,780	+248.4%
43	Würzburg, Kreisfreie Stadt Series break	4,780	+2,887.5%
45	Saarpfalz-Kreis Series break	4,734	+2,133%
46	Krefeld, Kreisfreie Stadt Series break	4,661	+327.6%
47	Kiel, Kreisfreie Stadt Series break	4,545	+5,711.1%
48	Gotha Series break	4,538	+782.9%
49	Wolfsburg, Kreisfreie Stadt Series break	4,510	+1,388.4%
50	Heilbronn, Stadtkreis Series break	4,491	+747.1%
51	Herzogtum Lauenburg Series break	4,434	+92.5%
52	Borken Series break	4,395	+161%
53	Oldenburg (Oldenburg), Kreisfreie Stadt Series break	4,385	+468%
54	Breisgau-Hochschwarzwald Series break	4,353	+381.5%
55	Zwickau Series break	4,328	+203.5%
56	Rhein-Sieg-Kreis Series break	4,235	+168.9%
57	Neuwied Series break	4,205	+144.5%
58	Westerwaldkreis Series break	4,184	+160.7%
59	Kleve Series break	4,133	+111.5%
60	Gera, Kreisfreie Stadt Series break	4,038	+1,273.5%
61	Teltow-Fläming Series break	4,030	+107%
62	Coesfeld Series break	4,021	+321.9%
63	Barnim Series break	3,985	+45.1%
64	Mainz, Kreisfreie Stadt Series break	3,961	+3,285.5%
65	Heinsberg Series break	3,917	+48.3%
66	Leverkusen, Kreisfreie Stadt Series break	3,894	+1,615.4%
67	Delmenhorst, Kreisfreie Stadt Series break	3,877	+6,823.2%
68	Heilbronn, Landkreis Series break	3,869	+179.6%
69	Warendorf Series break	3,820	+210.3%
70	Neunkirchen Series break	3,779	+564.1%
71	Hochsauerlandkreis Series break	3,698	+530%
72	Lippe Series break	3,680	+728.8%
73	Havelland Series break	3,632	+71.6%
74	Reutlingen Series break	3,612	+386.1%
75	Leipzig Series break	3,588	+73%
76	Mannheim, Stadtkreis Series break	3,542	+59.5%
77	Sächsische Schweiz-Osterzgebirge Series break	3,370	+121.7%
78	Meißen Series break	3,363	+161.3%
79	Rhein-Erft-Kreis Series break	3,346	+10.2%
80	Leipzig, Kreisfreie Stadt Series break	3,313	-33.6%
81	Oberbergischer Kreis Series break	3,223	+238.9%
82	Bergstraße Series break	3,222	+233.9%
83	Neu-Ulm Series break	3,212	+127.3%
84	Altenkirchen (Westerwald) Series break	3,117	+327.6%
85	Vogtlandkreis Series break	3,093	+500.6%
86	Hameln-Pyrmont Series break	2,950	+134.9%
87	Mühldorf a. Inn Series break	2,929	+114.1%
87	Zollernalbkreis Series break	2,929	+144.7%
89	Rhein-Lahn-Kreis Series break	2,911	+272.7%
90	Freiburg im Breisgau, Stadtkreis Series break	2,876	+965.2%
91	Oberspreewald-Lausitz Series break	2,789	+475.1%
92	Darmstadt, Kreisfreie Stadt Series break	2,779	+917.9%
93	Schwerin, Kreisfreie Stadt Series break	2,683	+249.8%
94	Ilm-Kreis Series break	2,624	+212.4%
95	St. Wendel Series break	2,608	+658.1%
96	Freudenstadt Series break	2,572	+158.8%
96	Hochtaunuskreis Series break	2,572	+405.3%
98	Rendsburg-Eckernförde Series break	2,553	+11.3%
99	Rhein-Hunsrück-Kreis Series break	2,549	+207.5%
100	Konstanz Series break	2,521	+57.9%
101	Oberhavel Series break	2,493	-3.9%
102	Remscheid, Kreisfreie Stadt Series break	2,448	+239.5%
103	Nordfriesland Series break	2,391	+107.9%
104	Heidenheim Series break	2,356	+372.1%
105	Starnberg Series break	2,335	+497.2%
106	Mülheim an der Ruhr, Kreisfreie Stadt Series break	2,272	+304.3%
107	Harz Series break	2,268	+330.4%
108	Bautzen Series break	2,261	+93.6%
109	Südliche Weinstraße Series break	2,160	+165.7%
110	Hagen, Kreisfreie Stadt Series break	2,127	+242%
111	Oder-Spree Series break	2,103	+36.5%
112	Fürth, Kreisfreie Stadt Series break	2,083	+111%
113	Birkenfeld Series break	2,040	+275.7%
114	Landkreis Rostock Series break	1,993	-6.5%
115	Ostalbkreis Series break	1,960	+87.4%
116	Germersheim Series break	1,940	+334%
117	Augsburg, Landkreis Series break	1,916	-11%
118	Brandenburg an der Havel, Kreisfreie Stadt Series break	1,870	+73.6%
119	Uckermark Series break	1,861	+364.1%
120	Friesland (DE) Series break	1,842	+249.5%
121	Diepholz Series break	1,831	+29.4%
121	Ludwigshafen am Rhein, Kreisfreie Stadt Series break	1,831	+632.3%
123	Saalfeld-Rudolstadt Series break	1,828	+528.2%
124	Biberach Series break	1,823	+118.8%
125	Neckar-Odenwald-Kreis Series break	1,800	+177.3%
126	Steinburg Series break	1,773	+120.8%
127	Worms, Kreisfreie Stadt Series break	1,758	+246.1%
128	Saale-Holzland-Kreis Series break	1,742	+360.8%
129	Stormarn Series break	1,740	+22.3%
130	Plön Series break	1,717	+63.4%
131	Prignitz Series break	1,712	+259.7%
132	Chemnitz, Kreisfreie Stadt Series break	1,670	+148.9%
133	Bottrop, Kreisfreie Stadt Series break	1,646	+227.2%
133	Dingolfing-Landau Series break	1,646	+104.7%
135	Bad Dürkheim Series break	1,641	+88.2%
136	Heidekreis Series break	1,634	-35.8%
137	Schleswig-Flensburg Series break	1,612	-16.8%
138	Limburg-Weilburg Series break	1,593	+34.7%
139	Mayen-Koblenz Series break	1,583	+20.1%
140	Weimarer Land Series break	1,569	+324.1%
141	Siegen-Wittgenstein Series break	1,559	+630.3%
142	Dahme-Spreewald Series break	1,517	-57.5%
143	Wilhelmshaven, Kreisfreie Stadt Series break	1,511	+314%
144	Mittelsachsen Series break	1,510	+56.2%
145	Hohenlohekreis Series break	1,479	+149.4%
146	Görlitz Series break	1,451	+75.7%
147	Cloppenburg Series break	1,446	+47.1%
148	Kaiserslautern, Kreisfreie Stadt Series break	1,444	+1,501.9%
149	Ostprignitz-Ruppin Series break	1,441	+48.3%
150	Garmisch-Partenkirchen Series break	1,416	+678%
151	Tirschenreuth Series break	1,388	+310.7%
152	Salzgitter, Kreisfreie Stadt Series break	1,366	+1,337.9%
153	Hof, Kreisfreie Stadt Series break	1,338	+374.5%
154	Bad Tölz-Wolfratshausen Series break	1,318	+2,127.7%
155	Tuttlingen Series break	1,280	+75.6%
156	Lübeck, Kreisfreie Stadt Series break	1,277	-16.3%
157	Wesermarsch Series break	1,253	+196.2%
158	Bodenseekreis Series break	1,227	-3.9%
158	Saalekreis Series break	1,227	+25.5%
160	Altenburger Land Series break	1,217	+147.9%
161	Lahn-Dill-Kreis Series break	1,205	+27.8%
162	Lichtenfels Series break	1,190	+253.1%
163	Osnabrück, Kreisfreie Stadt Series break	1,099	+49.3%
164	Tübingen, Landkreis Series break	1,090	+15.3%
165	Sigmaringen Series break	1,079	+10.3%
166	Neustadt a. d. Waldnaab Series break	1,077	+218.6%
167	Ulm, Stadtkreis Series break	1,057	+177.4%
168	Nordhausen Series break	1,038	+1,121.2%
169	Hamm, Kreisfreie Stadt Series break	1,023	+18.8%
170	Neumarkt i. d. OPf. Series break	1,011	-0.4%
171	Potsdam-Mittelmark Series break	996	-62.4%
171	Rheinisch-Bergischer Kreis Series break	996	-15.7%
173	Esslingen Series break	995	+534.5%
174	Wittenberg Series break	989	+71.1%
175	Kyffhäuserkreis Series break	977	+118.6%
176	Baden-Baden, Stadtkreis Series break	960	+211.7%
177	Kelheim Series break	896	+76.7%
178	Aschaffenburg, Kreisfreie Stadt Series break	888	+31.2%
179	Jerichower Land Series break	870	+62.9%
180	Cuxhaven Series break	861	-53.7%
181	München, Landkreis Series break	840	+166.7%
182	Burgenlandkreis Series break	837	-8.8%
183	Weimar, Kreisfreie Stadt Series break	834	+105.4%
184	Emsland Series break	790	-70%
185	Karlsruhe, Stadtkreis Series break	785	+143.8%
186	Ostholstein Series break	781	-61.4%
187	Augsburg, Kreisfreie Stadt Series break	772	-8%
188	Erlangen, Kreisfreie Stadt Series break	765	-21.8%
189	Suhl, Kreisfreie Stadt Series break	752	+408.1%
190	Regen Series break	733	+227.2%
191	Amberg-Sulzbach Series break	724	+37.9%
192	Segeberg Series break	712	-76.8%
193	Bernkastel-Wittlich Series break	709	-21%
194	Ravensburg Series break	682	-34%
195	Landau in der Pfalz, Kreisfreie Stadt Series break	679	+91.3%
196	Rhein-Pfalz-Kreis Series break	661	-7.6%
197	Kulmbach Series break	659	+111.2%
198	Alb-Donau-Kreis Series break	652	-49.2%
199	Salzlandkreis Series break	643	+66.6%
200	Vechta Series break	631	-17.3%
201	Märkisch-Oderland Series break	630	-70.1%
202	Kusel Series break	625	+274.3%
203	Eichsfeld Series break	600	+69.5%
204	Ansbach, Landkreis Series break	593	-54.7%
205	Weilheim-Schongau Series break	577	-16.3%
206	Altötting Series break	564	-31.1%
207	Straubing-Bogen Series break	561	-17.7%
208	Mansfeld-Südharz Series break	558	+9.2%
209	Elbe-Elster Series break	541	+0.4%
210	Sonneberg Series break	529	+216.8%
211	Kaufbeuren, Kreisfreie Stadt Series break	509	-11.6%
212	Eichstätt Series break	494	+201.2%
213	Schwalm-Eder-Kreis Series break	488	-61.9%
214	Main-Tauber-Kreis Series break	479	-23%
215	Anhalt-Bitterfeld Series break	441	-23.3%
216	Stade Series break	417	-73.5%
217	Spree-Neiße Series break	416	+47.5%
218	Amberg, Kreisfreie Stadt Series break	405	+101.5%
219	Jena, Kreisfreie Stadt Series break	393	+755%
220	Roth Series break	380	-37.6%
221	Peine Series break	375	-71.4%
222	Ammerland Series break	371	-66.9%
223	Rotenburg (Wümme) Series break	367	-64.6%
224	Greiz Series break	362	-38.1%
225	Waldshut Series break	359	-39.3%
226	Ahrweiler Series break	339	+120.3%
227	Frankfurt (Oder), Kreisfreie Stadt Series break	334	+59%
228	Helmstedt Series break	328	-19.8%
229	Börde Series break	315	-61.9%
230	Emden, Kreisfreie Stadt Series break	314	+555.1%
231	Nienburg (Weser) Series break	292	-64.3%
232	Cochem-Zell Series break	264	-50.3%
233	Emmendingen Series break	229	-80.5%
234	Wunsiedel i. Fichtelgebirge Series break	228	+14%
235	Schweinfurt, Kreisfreie Stadt Series break	223	-58.3%
236	Freising Series break	218	-46.8%
237	Bad Kissingen Series break	205	-72.3%
238	Sömmerda Series break	200	-35.7%
239	Saale-Orla-Kreis Series break	199	-33%
240	Ingolstadt, Kreisfreie Stadt Series break	198	-77.8%
241	Dithmarschen Series break	169	-88.9%
242	Potsdam, Kreisfreie Stadt Series break	164	-84.3%
243	Rhön-Grabfeld Series break	163	-30.9%
244	Günzburg Series break	128	-88.8%
245	Rosenheim, Kreisfreie Stadt Series break	119	+246.9%
246	Altmarkkreis Salzwedel Series break	111	+640%
247	Koblenz, Kreisfreie Stadt Series break	108	-80.1%
248	Unstrut-Hainich-Kreis Series break	86	-85.7%
249	Weiden i. d. Opf, Kreisfreie Stadt Series break	64	-57%
250	Deggendorf Series break	-3	-100.2%

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, 2022) [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, 2022. 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=2022. 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, 2022. 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=2022.

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, 2022 [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=2022 (Accessed: 12 October 2026).

BibTeX

@misc{eurostat_nuts_3_areas_of_2022,
  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, 2022}},
  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=2022. 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, 2022
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=2022
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/germany-provinces?period=2022.
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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rank_places {"indicator":"net_migration_plus_adjustment","level":"province","within":"Germany","limit":10}
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Questions

Which area has the highest net migration including statistical adjustment?

Städteregion Aachen, with 25,772 in 2022, according to Eurostat, European Commission.

Which area has the lowest net migration including statistical adjustment?

Köln, Kreisfreie Stadt, with -51,437 in 2022.

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.