Regions of Germany (NUTS 2) by net migration including statistical adjustment

Brandenburg had the highest net migration including statistical adjustment of 38 regions in 2019, at 22,674. Bremen had the lowest, at -1,229. The median was 7,213 and the figure for Germany was 308,928. Source: Eurostat, European Commission.

Highest22,674Brandenburg

Lowest-1,229Bremen

Median7,21338 regions

Germany308,928History

All regions, 2019

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	Regions	2019 persons	Change on 2018
1	Brandenburg	22,674	+9.6%
2	Darmstadt	20,820	+6.4%
3	Berlin	19,901	-26.4%
4	Oberbayern	18,667	-36.4%
5	Düsseldorf	17,775	+5.3%
6	Schleswig-Holstein	17,368	-1.2%
7	Köln	14,678	-23.5%
8	Schwaben	12,367	-18.9%
9	Weser-Ems	11,920	-10.5%
10	Lüneburg	10,968	+9.5%
11	Stuttgart	9,691	-38.2%
12	Arnsberg	9,386	-15.3%
13	Rheinhessen-Pfalz	8,859	-17.9%
14	Karlsruhe	8,736	-27.8%
15	Leipzig	8,229	+0.9%
16	Freiburg	7,880	-26.2%
17	Niederbayern	7,638	-29.3%
18	Mecklenburg-Vorpommern	7,535	+0.8%
19	Koblenz	7,275	-10.1%
20	Tübingen	7,151	-27.5%
21	Mittelfranken	6,860	-46.1%
22	Münster	5,387	-20%
23	Dresden	5,178	-16.2%
24	Hannover	5,000	-59.2%
25	Braunschweig	4,242	-35.6%
26	Oberpfalz	4,172	-38.7%
27	Gießen	4,149	+5.6%
28	Kassel	3,909	-25%
29	Detmold	3,432	-25.7%
30	Trier	3,371	+15%
31	Thüringen	2,782	-35.7%
32	Unterfranken	2,740	-59.3%
33	Hamburg	2,608	-65.9%
34	Sachsen-Anhalt	2,142	+62.9%
35	Saarland	1,927	-5.8%
36	Oberfranken	1,658	-67.1%
37	Chemnitz	1,082	-59.9%
38	Bremen	-1,229	-143%

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 regions 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) (Regions of Germany (NUTS 2) 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), Regions of Germany (NUTS 2) 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-regions?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). Regions of Germany (NUTS 2) 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-regions?period=2019.

Harvard

Eurostat, European Commission (2026) Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo_r_gind3), Regions of Germany (NUTS 2) 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-regions?period=2019 (Accessed: 12 October 2026).

BibTeX

@misc{eurostat_regions_of_germany_nuts_2019,
  author = {{Eurostat, European Commission}},
  title = {{Population change, net migration plus statistical adjustment, by NUTS 2 and 3 region (demo\_r\_gind3): Regions of Germany (NUTS 2) 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-regions?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): Regions of Germany (NUTS 2) 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-regions?period=2019
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/germany-regions?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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rank_places {"indicator":"net_migration_plus_adjustment","level":"region","within":"Germany","limit":10}
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Questions

Which region has the highest net migration including statistical adjustment?

Brandenburg, with 22,674 in 2019, according to Eurostat, European Commission.

Which region has the lowest net migration including statistical adjustment?

Bremen, with -1,229 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.