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

Düsseldorf had the highest net migration including statistical adjustment of 38 regions in 2023, at 39,701. Trier had the lowest, at 4,058. The median was 15,842 and the figure for Germany was 672,761. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest39,701Düsseldorf
Lowest4,058Trier
Median15,84238 regions
Germany672,761History

All regions, 2023

Düsseldorf: 39,701 personsDüsseldorf39,701Berlin: 33,881 personsBerlin33,881Schleswig-Holstein: 31,350 personsSchleswig-Holstein31,350Darmstadt: 31,195 personsDarmstadt31,195Köln: 30,341 personsKöln30,341Brandenburg: 30,042 personsBrandenburg30,042Stuttgart: 27,844 personsStuttgart27,844Oberbayern: 24,116 personsOberbayern24,116Münster: 22,644 personsMünster22,644Freiburg: 21,357 personsFreiburg21,357Arnsberg: 20,807 personsArnsberg20,807Karlsruhe: 20,249 personsKarlsruhe20,249Schwaben: 20,170 personsSchwaben20,170Hamburg: 20,126 personsHamburg20,126Weser-Ems: 19,131 personsWeser-Ems19,131Hannover: 17,215 personsHannover17,215Rheinhessen-Pfalz: 16,582 personsRheinhessen-Pfalz16,582Sachsen-Anhalt: 16,358 personsSachsen-Anhalt16,358Mecklenburg-Vorpommern: 16,326 personsMecklenburg-Vorpommern16,326Tübingen: 15,358 personsTübingen15,358Lüneburg: 14,337 personsLüneburg14,337Thüringen: 14,225 personsThüringen14,225Mittelfranken: 14,052 personsMittelfranken14,052Chemnitz: 13,322 personsChemnitz13,322Koblenz: 12,742 personsKoblenz12,742Braunschweig: 12,414 personsBraunschweig12,414Dresden: 12,071 personsDresden12,071Oberpfalz: 11,894 personsOberpfalz11,894Niederbayern: 11,488 personsNiederbayern11,488Leipzig: 11,236 personsLeipzig11,236Detmold: 10,126 personsDetmold10,126Oberfranken: 9,915 personsOberfranken9,915Kassel: 9,720 personsKassel9,720Unterfranken: 9,540 personsUnterfranken9,540Gießen: 9,071 personsGießen9,071Saarland: 8,947 personsSaarland8,947Bremen: 8,810 personsBremen8,810Trier: 4,058 personsTrier4,058Düsseldorf: 39,701 personsDüsseldorf39,701Berlin: 33,881 personsBerlin33,881Schleswig-Holstein: 31,350 personsSchleswig-Holstein31,350Darmstadt: 31,195 personsDarmstadt31,195Köln: 30,341 personsKöln30,341Brandenburg: 30,042 personsBrandenburg30,042Stuttgart: 27,844 personsStuttgart27,844Oberbayern: 24,116 personsOberbayern24,116Münster: 22,644 personsMünster22,644Freiburg: 21,357 personsFreiburg21,357Arnsberg: 20,807 personsArnsberg20,807Karlsruhe: 20,249 personsKarlsruhe20,249Schwaben: 20,170 personsSchwaben20,170Hamburg: 20,126 personsHamburg20,126Weser-Ems: 19,131 personsWeser-Ems19,131Hannover: 17,215 personsHannover17,215Rheinhessen-Pfalz: 16,582 personsRheinhessen-Pfalz16,582Sachsen-Anhalt: 16,358 personsSachsen-Anhalt16,358Mecklenburg-Vorpommern: 16,326 personsMecklenburg-Vorpommern16,326Tübingen: 15,358 personsTübingen15,358Lüneburg: 14,337 personsLüneburg14,337Thüringen: 14,225 personsThüringen14,225Mittelfranken: 14,052 personsMittelfranken14,052Chemnitz: 13,322 personsChemnitz13,322Koblenz: 12,742 personsKoblenz12,742Braunschweig: 12,414 personsBraunschweig12,414Dresden: 12,071 personsDresden12,071Oberpfalz: 11,894 personsOberpfalz11,894Niederbayern: 11,488 personsNiederbayern11,488Leipzig: 11,236 personsLeipzig11,236Detmold: 10,126 personsDetmold10,126Oberfranken: 9,915 personsOberfranken9,915Kassel: 9,720 personsKassel9,720Unterfranken: 9,540 personsUnterfranken9,540Gießen: 9,071 personsGießen9,071Saarland: 8,947 personsSaarland8,947Bremen: 8,810 personsBremen8,810Trier: 4,058 personsTrier4,058
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

RankRegions2023
persons
Change on 2022
1Düsseldorf Series break39,701-18.1%
2Berlin Series break33,881+183.1%
3Schleswig-Holstein Series break31,350-7.9%
4Darmstadt Series break31,195+272%
5Köln Series break30,341+3,063.8%
6Brandenburg Series break30,042+10.2%
7Stuttgart Series break27,844+1,330.9%
8Oberbayern Series break24,116+205.7%
9Münster Series break22,644+26.7%
10Freiburg Series break21,357-13.4%
11Arnsberg Series break20,807-8.4%
12Karlsruhe Series break20,249-24%
13Schwaben Series break20,170+279.5%
14Hamburg Series break20,126+198.5%
15Weser-Ems Series break19,131+37.4%
16Hannover Series break17,215+178.2%
17Rheinhessen-Pfalz Series break16,582+712.4%
18Sachsen-Anhalt Series break16,358+334.9%
19Mecklenburg-Vorpommern Series break16,326+179.4%
20Tübingen Series break15,358+8.5%
21Lüneburg Series break14,337+341.7%
22Thüringen Series break14,225-50.3%
23Mittelfranken Series break14,052+33.1%
24Chemnitz Series break13,322+41.5%
25Koblenz Series break12,742-52.4%
26Braunschweig Series break12,414+76%
27Dresden Series break12,071-26.5%
28Oberpfalz Series break11,894+303.6%
29Niederbayern Series break11,488+294.2%
30Leipzig Series break11,236-5.3%
31Detmold Series break10,126-48.1%
32Oberfranken Series break9,915+361.1%
33Kassel Series break9,720+179.6%
34Unterfranken Series break9,540+283.6%
35Gießen Series break9,071+193.2%
36Saarland Series break8,947-75.9%
37Bremen Series break8,810-59%
38Trier Series break4,058+142.6%

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, 2023) [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, 2023. 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=2023. 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, 2023. 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=2023.

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, 2023 [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=2023 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_germany_nuts_2023,
  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, 2023}},
  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=2023. 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, 2023
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=2023
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/net-migration-including-statistical-adjustment/germany-regions?period=2023.
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  - 
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 including statistical adjustment using official data, and cite the source.
rank_places {"indicator":"net_migration_plus_adjustment","level":"region","within":"Germany","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=net_migration_plus_adjustment&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 including statistical adjustment?

Düsseldorf, with 39,701 in 2023, according to Eurostat, European Commission.

Which region has the lowest net migration including statistical adjustment?

Trier, with 4,058 in 2023.

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

Regions of Germany (NUTS 2): more rankings