Regions of Germany (NUTS 2) by net migration including statistical adjustment
Oberbayern had the highest net migration including statistical adjustment of 38 regions in 2018, at 29,342. Sachsen-Anhalt had the lowest, at 1,315. The median was 9,006 and the figure for Germany was 394,213. Source: Eurostat, European Commission.
All regions, 2018
Full ranking
| Rank | Regions | 2018 | Change on 2017 |
|---|---|---|---|
| 1 | Oberbayern | 29,342 | +199.6% |
| 2 | Berlin | 27,028 | -17.7% |
| 3 | Brandenburg | 20,680 | -0.7% |
| 4 | Darmstadt | 19,561 | -23.6% |
| 5 | Köln | 19,187 | +4.8% |
| 6 | Schleswig-Holstein | 17,576 | +1.7% |
| 7 | Düsseldorf | 16,877 | -14.1% |
| 8 | Stuttgart | 15,690 | -42.1% |
| 9 | Schwaben | 15,250 | -4.9% |
| 10 | Weser-Ems | 13,325 | -0.8% |
| 11 | Mittelfranken | 12,738 | +9.2% |
| 12 | Hannover | 12,258 | +15.3% |
| 13 | Karlsruhe | 12,096 | -36.9% |
| 14 | Arnsberg | 11,084 | +43% |
| 15 | Niederbayern | 10,801 | -17.3% |
| 16 | Rheinhessen-Pfalz | 10,791 | +14.7% |
| 17 | Freiburg | 10,680 | -32.9% |
| 18 | Lüneburg | 10,014 | +30% |
| 19 | Tübingen | 9,857 | -11% |
| 20 | Leipzig | 8,154 | -35% |
| 21 | Koblenz | 8,094 | +32.2% |
| 22 | Hamburg | 7,637 | -54.1% |
| 23 | Mecklenburg-Vorpommern | 7,472 | -7.8% |
| 24 | Oberpfalz | 6,805 | -14.9% |
| 25 | Münster | 6,737 | +11.8% |
| 26 | Unterfranken | 6,728 | -1.7% |
| 27 | Braunschweig | 6,589 | +9.5% |
| 28 | Dresden | 6,180 | +53.4% |
| 29 | Kassel | 5,212 | +2.3% |
| 30 | Oberfranken | 5,046 | -42.5% |
| 31 | Detmold | 4,622 | +46.6% |
| 32 | Thüringen | 4,327 | +0.5% |
| 33 | Gießen | 3,929 | -18.3% |
| 34 | Trier | 2,932 | +43.8% |
| 35 | Bremen | 2,859 | -10.2% |
| 36 | Chemnitz | 2,695 | +237.7% |
| 37 | Saarland | 2,045 | -18.1% |
| 38 | Sachsen-Anhalt | 1,315 | -26.4% |
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.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=10Questions
Which region has the highest net migration including statistical adjustment?
Oberbayern, with 29,342 in 2018, according to Eurostat, European Commission.
Which region has the lowest net migration including statistical adjustment?
Sachsen-Anhalt, with 1,315 in 2018.
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 Sweden (NUTS 2)
- Regions of Hungary (NUTS 2)
- Regions of France (NUTS 2)
- NUTS 3 areas of Poland
- NUTS 3 areas of Germany
- NUTS 3 areas of Latvia