Regions of Germany (NUTS 2) by population aged 0 to 14
Detmold had the highest population aged 0 to 14 of 38 regions in 2019, at 14.4%. Saarland had the lowest, at 12.1%. The median was 13.5% and the figure for Germany was 13.6%. Source: Eurostat, European Commission.
All regions, 2019
Full ranking
| Rank | Regions | 2019 (%) | Change on 2018 |
|---|---|---|---|
| 1 | Detmold | 14.4 | +0.1 pts |
| 2 | Darmstadt | 14.3 | +0.1 pts |
| 3 | Freiburg | 14.2 | +0.1 pts |
| 3 | Hamburg | 14.2 | +0.2 pts |
| 3 | Tübingen | 14.2 | 0 pts |
| 6 | Berlin | 14.1 | +0.2 pts |
| 6 | Oberbayern | 14.1 | 0 pts |
| 6 | Stuttgart | 14.1 | +0.1 pts |
| 6 | Weser-Ems | 14.1 | 0 pts |
| 10 | Münster | 14 | +0.1 pts |
| 11 | Köln | 13.9 | +0.1 pts |
| 12 | Lüneburg | 13.8 | 0 pts |
| 12 | Schwaben | 13.8 | +0.1 pts |
| 14 | Dresden | 13.7 | +0.1 pts |
| 14 | Düsseldorf | 13.7 | +0.1 pts |
| 14 | Mittelfranken | 13.7 | +0.2 pts |
| 17 | Leipzig | 13.6 | +0.2 pts |
| 18 | Bremen | 13.5 | +0.2 pts |
| 18 | Rheinhessen-Pfalz | 13.5 | +0.2 pts |
| 20 | Arnsberg | 13.4 | +0.1 pts |
| 20 | Hannover | 13.4 | +0.1 pts |
| 20 | Karlsruhe | 13.4 | +0.1 pts |
| 23 | Niederbayern | 13.3 | +0.1 pts |
| 23 | Schleswig-Holstein | 13.3 | 0 pts |
| 25 | Gießen | 13.2 | +0.1 pts |
| 25 | Koblenz | 13.2 | +0.1 pts |
| 25 | Trier | 13.2 | +0.1 pts |
| 28 | Brandenburg | 13.1 | +0.1 pts |
| 28 | Kassel | 13.1 | +0.1 pts |
| 28 | Oberpfalz | 13.1 | +0.1 pts |
| 31 | Braunschweig | 13 | +0.1 pts |
| 31 | Unterfranken | 13 | +0.1 pts |
| 33 | Mecklenburg-Vorpommern | 12.7 | +0.1 pts |
| 33 | Thüringen | 12.7 | +0.1 pts |
| 35 | Chemnitz | 12.5 | +0.1 pts |
| 35 | Oberfranken | 12.5 | +0.1 pts |
| 37 | Sachsen-Anhalt | 12.2 | +0.1 pts |
| 38 | Saarland | 12.1 | +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; Statistics Finland figures for Finnish municipalities refer to 31 December; 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.
Citation styles
APA 7
Eurostat, European Commission. (2026). Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3) (Regions of Germany (NUTS 2) by population aged 0 to 14, 2019) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table
MLA 9
Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3), Regions of Germany (NUTS 2) by population aged 0 to 14, 2019. Eurostat, European Commission, 10 July 2026, https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table. Invokely, https://invokely.ai/rankings/population-0-14/germany-regions?period=2019. Accessed 12 Oct. 2026.
Chicago (author-date)
Eurostat, European Commission. 2026. Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3). Regions of Germany (NUTS 2) by population aged 0 to 14, 2019. Dataset. Accessed October 12, 2026. https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table. Also distributed by Invokely, https://invokely.ai/rankings/population-0-14/germany-regions?period=2019.
Harvard
Eurostat, European Commission (2026) Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3), Regions of Germany (NUTS 2) by population aged 0 to 14, 2019 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table, via Invokely: https://invokely.ai/rankings/population-0-14/germany-regions?period=2019 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_regions_of_germany_nuts_2019,
author = {{Eurostat, European Commission}},
title = {{Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo\_r\_pjanind3): Regions of Germany (NUTS 2) by population aged 0 to 14, 2019}},
year = {2026},
howpublished = {Data set},
url = {https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/population-0-14/germany-regions?period=2019. Publisher attribution: 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.},
}
RIS
TY - DATA
AU - Eurostat, European Commission
TI - Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3): Regions of Germany (NUTS 2) by population aged 0 to 14, 2019
PY - 2026
DA - 2026/07/10
PB - Eurostat, European Commission
DB - Invokely
UR - https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table
L2 - https://invokely.ai/rankings/population-0-14/germany-regions?period=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/population-0-14/germany-regions?period=2019.
N1 - Publisher attribution: 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.
ER -
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?
Detmold, with 14.4% in 2019, according to Eurostat, European Commission.
Which region has the lowest population aged 0 to 14?
Saarland, with 12.1% 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 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