Regions of Germany (NUTS 2) by population aged 0 to 14, 2025
Freiburg had the highest population aged 0 to 14 of 38 regions in 2025, at 14.7%. Sachsen-Anhalt had the lowest, at 12.3%. The median was 13.9% and the figure for Germany was 13.9%. Source: Eurostat, European Commission.
All regions, 2025
Full ranking
| Rank | Regions | 2025 (%) | Change on 2024 |
|---|---|---|---|
| 1 | Freiburg | 14.7 | 0 pts |
| 1 | Schwaben | 14.7 | +0.1 pts |
| 1 | Tübingen | 14.7 | 0 pts |
| 4 | Detmold | 14.6 | 0 pts |
| 4 | Stuttgart | 14.6 | 0 pts |
| 6 | Bremen | 14.5 | 0 pts |
| 6 | Münster | 14.5 | 0 pts |
| 8 | Darmstadt | 14.4 | 0 pts |
| 8 | Weser-Ems | 14.4 | 0 pts |
| 10 | Hamburg | 14.3 | 0 pts |
| 10 | Oberbayern | 14.3 | -0.1 pts |
| 12 | Düsseldorf | 14.1 | 0 pts |
| 12 | Lüneburg | 14.1 | -0.1 pts |
| 12 | Mittelfranken | 14.1 | 0 pts |
| 12 | Rheinhessen-Pfalz | 14.1 | +0.1 pts |
| 16 | Arnsberg | 13.9 | 0 pts |
| 16 | Berlin | 13.9 | -0.1 pts |
| 16 | Koblenz | 13.9 | 0 pts |
| 16 | Köln | 13.9 | 0 pts |
| 16 | Niederbayern | 13.9 | 0 pts |
| 21 | Karlsruhe | 13.8 | -0.1 pts |
| 21 | Oberpfalz | 13.8 | 0 pts |
| 21 | Unterfranken | 13.8 | +0.1 pts |
| 24 | Gießen | 13.7 | 0 pts |
| 24 | Hannover | 13.7 | 0 pts |
| 24 | Kassel | 13.7 | +0.1 pts |
| 24 | Trier | 13.7 | -0.1 pts |
| 28 | Braunschweig | 13.6 | +0.1 pts |
| 29 | Leipzig | 13.5 | -0.2 pts |
| 30 | Dresden | 13.4 | -0.3 pts |
| 30 | Schleswig-Holstein | 13.4 | -0.1 pts |
| 32 | Brandenburg | 13.2 | -0.2 pts |
| 32 | Oberfranken | 13.2 | 0 pts |
| 34 | Saarland | 12.8 | 0 pts |
| 35 | Chemnitz | 12.6 | -0.2 pts |
| 35 | Thüringen | 12.6 | -0.2 pts |
| 37 | Mecklenburg-Vorpommern | 12.5 | -0.2 pts |
| 38 | Sachsen-Anhalt | 12.3 | -0.1 pts |
Other periods
About this ranking
Residents aged 0 to 14 as a percentage of total population. Eurostat figures for the EU, its countries and NUTS regions refer to 1 January; World Bank figures for other countries and the World refer to mid-year.
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 structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/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 population aged 0 to 14 using official data, and cite the source.
rank_places {"indicator":"population_0_14_share","level":"region","within":"Germany","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=population_0_14_share&level=region&within=Germany&limit=10
Questions
Which region has the highest population aged 0 to 14?
Freiburg, with 14.7% in 2025, according to Eurostat, European Commission.
Which region has the lowest population aged 0 to 14?
Sachsen-Anhalt, with 12.3% in 2025.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3). Retrieved 2026-10-12.
Population aged 0 to 14: other rankings
- Regions of Finland (NUTS 2)
- Regions of Portugal (NUTS 2)
- Regions of France (NUTS 2)
- EU countries
- NUTS 3 areas of Poland
- NUTS 3 areas of Czechia