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

Brandenburg had the highest net migration rate including statistical adjustment of 38 regions in 2019, at 9 per 1,000 inhabitants. Bremen had the lowest, at -1.8 per 1,000 inhabitants. The median was 3.5 per 1,000 inhabitants and the figure for Germany was 3.7 per 1,000 inhabitants. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest9Brandenburg
Lowest-1.8Bremen
Median3.538 regions
Germany3.7History

All regions, 2019

Brandenburg: 9 per 1,000 inhabitantsBrandenburg9Leipzig: 7.9 per 1,000 inhabitantsLeipzig7.9Schwaben: 6.5 per 1,000 inhabitantsSchwaben6.5Lüneburg: 6.4 per 1,000 inhabitantsLüneburg6.4Trier: 6.3 per 1,000 inhabitantsTrier6.3Niederbayern: 6.2 per 1,000 inhabitantsNiederbayern6.2Schleswig-Holstein: 6 per 1,000 inhabitantsSchleswig-Holstein6Berlin: 5.4 per 1,000 inhabitantsBerlin5.4Darmstadt: 5.2 per 1,000 inhabitantsDarmstadt5.2Koblenz: 4.9 per 1,000 inhabitantsKoblenz4.9Mecklenburg-Vorpommern: 4.7 per 1,000 inhabitantsMecklenburg-Vorpommern4.7Weser-Ems: 4.7 per 1,000 inhabitantsWeser-Ems4.7Rheinhessen-Pfalz: 4.3 per 1,000 inhabitantsRheinhessen-Pfalz4.3Gießen: 4 per 1,000 inhabitantsGießen4Oberbayern: 4 per 1,000 inhabitantsOberbayern4Mittelfranken: 3.9 per 1,000 inhabitantsMittelfranken3.9Oberpfalz: 3.8 per 1,000 inhabitantsOberpfalz3.8Tübingen: 3.8 per 1,000 inhabitantsTübingen3.8Freiburg: 3.5 per 1,000 inhabitantsFreiburg3.5Düsseldorf: 3.4 per 1,000 inhabitantsDüsseldorf3.4Köln: 3.3 per 1,000 inhabitantsKöln3.3Dresden: 3.2 per 1,000 inhabitantsDresden3.2Kassel: 3.2 per 1,000 inhabitantsKassel3.2Karlsruhe: 3.1 per 1,000 inhabitantsKarlsruhe3.1Braunschweig: 2.7 per 1,000 inhabitantsBraunschweig2.7Arnsberg: 2.6 per 1,000 inhabitantsArnsberg2.6Hannover: 2.3 per 1,000 inhabitantsHannover2.3Stuttgart: 2.3 per 1,000 inhabitantsStuttgart2.3Münster: 2.1 per 1,000 inhabitantsMünster2.1Unterfranken: 2.1 per 1,000 inhabitantsUnterfranken2.1Saarland: 1.9 per 1,000 inhabitantsSaarland1.9Detmold: 1.7 per 1,000 inhabitantsDetmold1.7Oberfranken: 1.6 per 1,000 inhabitantsOberfranken1.6Hamburg: 1.4 per 1,000 inhabitantsHamburg1.4Thüringen: 1.3 per 1,000 inhabitantsThüringen1.3Sachsen-Anhalt: 1 per 1,000 inhabitantsSachsen-Anhalt1Chemnitz: 0.8 per 1,000 inhabitantsChemnitz0.8Bremen: -1.8 per 1,000 inhabitantsBremen-1.8Brandenburg: 9 per 1,000 inhabitantsBrandenburg9Leipzig: 7.9 per 1,000 inhabitantsLeipzig7.9Schwaben: 6.5 per 1,000 inhabitantsSchwaben6.5Lüneburg: 6.4 per 1,000 inhabitantsLüneburg6.4Trier: 6.3 per 1,000 inhabitantsTrier6.3Niederbayern: 6.2 per 1,000 inhabitantsNiederbayern6.2Schleswig-Holstein: 6 per 1,000 inhabitantsSchleswig-Holstein6Berlin: 5.4 per 1,000 inhabitantsBerlin5.4Darmstadt: 5.2 per 1,000 inhabitantsDarmstadt5.2Koblenz: 4.9 per 1,000 inhabitantsKoblenz4.9Mecklenburg-Vorpommern: 4.7 per 1,000 inhabitantsMecklenburg-Vorpommern4.7Weser-Ems: 4.7 per 1,000 inhabitantsWeser-Ems4.7Rheinhessen-Pfalz: 4.3 per 1,000 inhabitantsRheinhessen-Pfalz4.3Gießen: 4 per 1,000 inhabitantsGießen4Oberbayern: 4 per 1,000 inhabitantsOberbayern4Mittelfranken: 3.9 per 1,000 inhabitantsMittelfranken3.9Oberpfalz: 3.8 per 1,000 inhabitantsOberpfalz3.8Tübingen: 3.8 per 1,000 inhabitantsTübingen3.8Freiburg: 3.5 per 1,000 inhabitantsFreiburg3.5Düsseldorf: 3.4 per 1,000 inhabitantsDüsseldorf3.4Köln: 3.3 per 1,000 inhabitantsKöln3.3Dresden: 3.2 per 1,000 inhabitantsDresden3.2Kassel: 3.2 per 1,000 inhabitantsKassel3.2Karlsruhe: 3.1 per 1,000 inhabitantsKarlsruhe3.1Braunschweig: 2.7 per 1,000 inhabitantsBraunschweig2.7Arnsberg: 2.6 per 1,000 inhabitantsArnsberg2.6Hannover: 2.3 per 1,000 inhabitantsHannover2.3Stuttgart: 2.3 per 1,000 inhabitantsStuttgart2.3Münster: 2.1 per 1,000 inhabitantsMünster2.1Unterfranken: 2.1 per 1,000 inhabitantsUnterfranken2.1Saarland: 1.9 per 1,000 inhabitantsSaarland1.9Detmold: 1.7 per 1,000 inhabitantsDetmold1.7Oberfranken: 1.6 per 1,000 inhabitantsOberfranken1.6Hamburg: 1.4 per 1,000 inhabitantsHamburg1.4Thüringen: 1.3 per 1,000 inhabitantsThüringen1.3Sachsen-Anhalt: 1 per 1,000 inhabitantsSachsen-Anhalt1Chemnitz: 0.8 per 1,000 inhabitantsChemnitz0.8Bremen: -1.8 per 1,000 inhabitantsBremen-1.8
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

RankRegions2019
per 1,000 inhabitants
Change on 2018
1Brandenburg9+0.8 pts
2Leipzig7.9+0.1 pts
3Schwaben6.5-1.6 pts
4Lüneburg6.4+0.5 pts
5Trier6.3+0.8 pts
6Niederbayern6.2-2.6 pts
7Schleswig-Holstein6-0.1 pts
8Berlin5.4-2 pts
9Darmstadt5.2+0.3 pts
10Koblenz4.9-0.5 pts
11Mecklenburg-Vorpommern4.7+0.1 pts
11Weser-Ems4.7-0.6 pts
13Rheinhessen-Pfalz4.3-1 pts
14Gießen4+0.2 pts
14Oberbayern4-2.3 pts
16Mittelfranken3.9-3.3 pts
17Oberpfalz3.8-2.3 pts
17Tübingen3.8-1.5 pts
19Freiburg3.5-1.2 pts
20Düsseldorf3.4+0.2 pts
21Köln3.3-1 pts
22Dresden3.2-0.7 pts
22Kassel3.2-1.1 pts
24Karlsruhe3.1-1.2 pts
25Braunschweig2.7-1.4 pts
26Arnsberg2.6-0.5 pts
27Hannover2.3-3.4 pts
27Stuttgart2.3-1.5 pts
29Münster2.1-0.5 pts
29Unterfranken2.1-3 pts
31Saarland1.9-0.2 pts
32Detmold1.7-0.5 pts
33Oberfranken1.6-3.1 pts
34Hamburg1.4-2.8 pts
35Thüringen1.3-0.7 pts
36Sachsen-Anhalt1+0.4 pts
37Chemnitz0.8-1.1 pts
38Bremen-1.8-6 pts

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 regions 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) (Regions of Germany (NUTS 2) 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), Regions of Germany (NUTS 2) 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-regions?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). Regions of Germany (NUTS 2) 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-regions?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), Regions of Germany (NUTS 2) 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-regions?period=2019 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_germany_nuts_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): Regions of Germany (NUTS 2) 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-regions?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): Regions of Germany (NUTS 2) 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-regions?period=2019
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-rate/germany-regions?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  - 
Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

Use this data in your AI agent

Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:

Rank Regions 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":"region","within":"Germany","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment_rate&level=region&within=Germany&limit=10

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

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

Brandenburg, with 9 per 1,000 inhabitants in 2019, according to Eurostat, European Commission.

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

Bremen, with -1.8 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

Regions of Germany (NUTS 2): more rankings