Data / Rankings / Net migration rate including statistical adjustment / Regions of Germany (NUTS 2)

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 2020, at 9.8 per 1,000 inhabitants. Berlin had the lowest, at -1.8 per 1,000 inhabitants. The median was 2.2 per 1,000 inhabitants and the figure for Germany was 2.4 per 1,000 inhabitants. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest9.8Brandenburg
Lowest-1.8Berlin
Median2.238 regions
Germany2.4History

All regions, 2020

Brandenburg: 9.8 per 1,000 inhabitantsBrandenburg9.8Mecklenburg-Vorpommern: 7.7 per 1,000 inhabitantsMecklenburg-Vorpommern7.7Leipzig: 7.2 per 1,000 inhabitantsLeipzig7.2Lüneburg: 6.9 per 1,000 inhabitantsLüneburg6.9Schleswig-Holstein: 6.2 per 1,000 inhabitantsSchleswig-Holstein6.2Koblenz: 5.4 per 1,000 inhabitantsKoblenz5.4Trier: 5.3 per 1,000 inhabitantsTrier5.3Weser-Ems: 5.2 per 1,000 inhabitantsWeser-Ems5.2Niederbayern: 4.6 per 1,000 inhabitantsNiederbayern4.6Schwaben: 4.2 per 1,000 inhabitantsSchwaben4.2Freiburg: 3.5 per 1,000 inhabitantsFreiburg3.5Gießen: 3.1 per 1,000 inhabitantsGießen3.1Hannover: 2.8 per 1,000 inhabitantsHannover2.8Saarland: 2.8 per 1,000 inhabitantsSaarland2.8Dresden: 2.7 per 1,000 inhabitantsDresden2.7Kassel: 2.7 per 1,000 inhabitantsKassel2.7Rheinhessen-Pfalz: 2.5 per 1,000 inhabitantsRheinhessen-Pfalz2.5Darmstadt: 2.3 per 1,000 inhabitantsDarmstadt2.3Oberpfalz: 2.2 per 1,000 inhabitantsOberpfalz2.2Unterfranken: 2.1 per 1,000 inhabitantsUnterfranken2.1Mittelfranken: 2 per 1,000 inhabitantsMittelfranken2Münster: 2 per 1,000 inhabitantsMünster2Tübingen: 2 per 1,000 inhabitantsTübingen2Düsseldorf: 1.7 per 1,000 inhabitantsDüsseldorf1.7Hamburg: 1.7 per 1,000 inhabitantsHamburg1.7Oberfranken: 1.6 per 1,000 inhabitantsOberfranken1.6Sachsen-Anhalt: 1.6 per 1,000 inhabitantsSachsen-Anhalt1.6Chemnitz: 1.3 per 1,000 inhabitantsChemnitz1.3Oberbayern: 1.2 per 1,000 inhabitantsOberbayern1.2Braunschweig: 1 per 1,000 inhabitantsBraunschweig1Detmold: 1 per 1,000 inhabitantsDetmold1Arnsberg: 0.9 per 1,000 inhabitantsArnsberg0.9Köln: 0.8 per 1,000 inhabitantsKöln0.8Thüringen: 0.5 per 1,000 inhabitantsThüringen0.5Karlsruhe: 0.4 per 1,000 inhabitantsKarlsruhe0.4Bremen: 0.2 per 1,000 inhabitantsBremen0.2Stuttgart: -0.5 per 1,000 inhabitantsStuttgart-0.5Berlin: -1.8 per 1,000 inhabitantsBerlin-1.8Brandenburg: 9.8 per 1,000 inhabitantsBrandenburg9.8Mecklenburg-Vorpommern: 7.7 per 1,000 inhabitantsMecklenburg-Vorpommern7.7Leipzig: 7.2 per 1,000 inhabitantsLeipzig7.2Lüneburg: 6.9 per 1,000 inhabitantsLüneburg6.9Schleswig-Holstein: 6.2 per 1,000 inhabitantsSchleswig-Holstein6.2Koblenz: 5.4 per 1,000 inhabitantsKoblenz5.4Trier: 5.3 per 1,000 inhabitantsTrier5.3Weser-Ems: 5.2 per 1,000 inhabitantsWeser-Ems5.2Niederbayern: 4.6 per 1,000 inhabitantsNiederbayern4.6Schwaben: 4.2 per 1,000 inhabitantsSchwaben4.2Freiburg: 3.5 per 1,000 inhabitantsFreiburg3.5Gießen: 3.1 per 1,000 inhabitantsGießen3.1Hannover: 2.8 per 1,000 inhabitantsHannover2.8Saarland: 2.8 per 1,000 inhabitantsSaarland2.8Dresden: 2.7 per 1,000 inhabitantsDresden2.7Kassel: 2.7 per 1,000 inhabitantsKassel2.7Rheinhessen-Pfalz: 2.5 per 1,000 inhabitantsRheinhessen-Pfalz2.5Darmstadt: 2.3 per 1,000 inhabitantsDarmstadt2.3Oberpfalz: 2.2 per 1,000 inhabitantsOberpfalz2.2Unterfranken: 2.1 per 1,000 inhabitantsUnterfranken2.1Mittelfranken: 2 per 1,000 inhabitantsMittelfranken2Münster: 2 per 1,000 inhabitantsMünster2Tübingen: 2 per 1,000 inhabitantsTübingen2Düsseldorf: 1.7 per 1,000 inhabitantsDüsseldorf1.7Hamburg: 1.7 per 1,000 inhabitantsHamburg1.7Oberfranken: 1.6 per 1,000 inhabitantsOberfranken1.6Sachsen-Anhalt: 1.6 per 1,000 inhabitantsSachsen-Anhalt1.6Chemnitz: 1.3 per 1,000 inhabitantsChemnitz1.3Oberbayern: 1.2 per 1,000 inhabitantsOberbayern1.2Braunschweig: 1 per 1,000 inhabitantsBraunschweig1Detmold: 1 per 1,000 inhabitantsDetmold1Arnsberg: 0.9 per 1,000 inhabitantsArnsberg0.9Köln: 0.8 per 1,000 inhabitantsKöln0.8Thüringen: 0.5 per 1,000 inhabitantsThüringen0.5Karlsruhe: 0.4 per 1,000 inhabitantsKarlsruhe0.4Bremen: 0.2 per 1,000 inhabitantsBremen0.2Stuttgart: -0.5 per 1,000 inhabitantsStuttgart-0.5Berlin: -1.8 per 1,000 inhabitantsBerlin-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

RankRegions2020
per 1,000 inhabitants		Change on 2019
1Brandenburg9.8+0.8 pts
2Mecklenburg-Vorpommern7.7+3 pts
3Leipzig7.2-0.7 pts
4Lüneburg6.9+0.5 pts
5Schleswig-Holstein6.2+0.2 pts
6Koblenz5.4+0.5 pts
7Trier5.3-1 pts
8Weser-Ems5.2+0.5 pts
9Niederbayern4.6-1.6 pts
10Schwaben4.2-2.3 pts
11Freiburg3.50 pts
12Gießen3.1-0.9 pts
13Hannover2.8+0.5 pts
13Saarland2.8+0.9 pts
15Dresden2.7-0.5 pts
15Kassel2.7-0.5 pts
17Rheinhessen-Pfalz2.5-1.8 pts
18Darmstadt2.3-2.9 pts
19Oberpfalz2.2-1.6 pts
20Unterfranken2.10 pts
21Mittelfranken2-1.9 pts
21Münster2-0.1 pts
21Tübingen2-1.8 pts
24Düsseldorf1.7-1.7 pts
24Hamburg1.7+0.3 pts
26Oberfranken1.60 pts
26Sachsen-Anhalt1.6+0.6 pts
28Chemnitz1.3+0.5 pts
29Oberbayern1.2-2.8 pts
30Braunschweig1-1.7 pts
30Detmold1-0.7 pts
32Arnsberg0.9-1.7 pts
33Köln0.8-2.5 pts
34Thüringen0.5-0.8 pts
35Karlsruhe0.4-2.7 pts
36Bremen0.2+2 pts
37Stuttgart-0.5-2.8 pts
38Berlin-1.8-7.2 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, 2020) [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, 2020. 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=2020. 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, 2020. 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=2020.

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, 2020 [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=2020 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_germany_nuts_2020,
  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, 2020}},
  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=2020. 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, 2020
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=2020
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-rate/germany-regions?period=2020.
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 9.8 per 1,000 inhabitants in 2020, according to Eurostat, European Commission.

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

Berlin, with -1.8 per 1,000 inhabitants in 2020.

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