Data / Rankings / Population aged 0 to 14 / Regions of France (NUTS 2)

Regions of France (NUTS 2) by population aged 0 to 14

Mayotte had the highest population aged 0 to 14 of 27 regions in 2019, at 43.8%. Limousin had the lowest, at 14.8%. The median was 17.1% and the figure for France was 18%. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest43.8Mayotte
Lowest14.8Limousin
Median17.127 regions
France18History

All regions, 2019

Mayotte: 43.8 %Mayotte43.8Guyane: 32.2 %Guyane32.2La Réunion: 22.5 %La Réunion22.5Ile-de-France: 19.6 %Ile-de-France19.6Nord-Pas de Calais: 19.3 %Nord-Pas de Calais19.3Picardie: 18.8 %Picardie18.8Rhône-Alpes: 18.6 %Rhône-Alpes18.6Haute-Normandie: 18.5 %Haute-Normandie18.5Guadeloupe: 18.4 %Guadeloupe18.4Pays de la Loire: 18.3 %Pays de la Loire18.3Franche-Comté: 17.7 %Franche-Comté17.7Centre - Val de Loire: 17.5 %Centre - Val de Loire17.5Champagne-Ardenne: 17.5 %Champagne-Ardenne17.5Alsace: 17.1 %Alsace17.1Bretagne: 17.1 %Bretagne17.1Provence-Alpes-Côte d’Azur: 16.8 %Provence-Alpes-Côte d’Azur16.8Lorraine: 16.7 %Lorraine16.7Languedoc-Roussillon: 16.6 %Languedoc-Roussillon16.6Basse-Normandie: 16.5 %Basse-Normandie16.5Midi-Pyrénées: 16.5 %Midi-Pyrénées16.5Aquitaine: 16.1 %Aquitaine16.1Bourgogne: 16.1 %Bourgogne16.1Martinique: 16.1 %Martinique16.1Auvergne: 15.8 %Auvergne15.8Poitou-Charentes: 15.8 %Poitou-Charentes15.8Corse: 15.5 %Corse15.5Limousin: 14.8 %Limousin14.8Mayotte: 43.8 %Mayotte43.8Guyane: 32.2 %Guyane32.2La Réunion: 22.5 %La Réunion22.5Ile-de-France: 19.6 %Ile-de-France19.6Nord-Pas de Calais: 19.3 %Nord-Pas de Calais19.3Picardie: 18.8 %Picardie18.8Rhône-Alpes: 18.6 %Rhône-Alpes18.6Haute-Normandie: 18.5 %Haute-Normandie18.5Guadeloupe: 18.4 %Guadeloupe18.4Pays de la Loire: 18.3 %Pays de la Loire18.3Franche-Comté: 17.7 %Franche-Comté17.7Centre - Val de Loire: 17.5 %Centre - Val de Loire17.5Champagne-Ardenne: 17.5 %Champagne-Ardenne17.5Alsace: 17.1 %Alsace17.1Bretagne: 17.1 %Bretagne17.1Provence-Alpes-Côte d’Azur: 16.8 %Provence-Alpes-Côte d’Azur16.8Lorraine: 16.7 %Lorraine16.7Languedoc-Roussillon: 16.6 %Languedoc-Roussillon16.6Basse-Normandie: 16.5 %Basse-Normandie16.5Midi-Pyrénées: 16.5 %Midi-Pyrénées16.5Aquitaine: 16.1 %Aquitaine16.1Bourgogne: 16.1 %Bourgogne16.1Martinique: 16.1 %Martinique16.1Auvergne: 15.8 %Auvergne15.8Poitou-Charentes: 15.8 %Poitou-Charentes15.8Corse: 15.5 %Corse15.5Limousin: 14.8 %Limousin14.8
%. Source: Eurostat, Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3). Retrieved 2026-10-12.

Full ranking

RankRegions2019 (%)Change on 2018
1Mayotte43.80 pts
2Guyane32.2-0.4 pts
3La Réunion22.5-0.5 pts
4Ile-de-France19.60 pts
5Nord-Pas de Calais19.3-0.2 pts
6Picardie18.8-0.3 pts
7Rhône-Alpes18.6-0.2 pts
8Haute-Normandie18.5-0.2 pts
9Guadeloupe18.40 pts
10Pays de la Loire18.3-0.3 pts
11Franche-Comté17.7-0.2 pts
12Centre - Val de Loire17.5-0.2 pts
12Champagne-Ardenne17.5-0.2 pts
14Alsace17.1-0.2 pts
14Bretagne17.1-0.3 pts
16Provence-Alpes-Côte d’Azur16.8-0.1 pts
17Lorraine16.7-0.2 pts
18Languedoc-Roussillon16.6-0.2 pts
19Basse-Normandie16.5-0.3 pts
19Midi-Pyrénées16.5-0.2 pts
21Aquitaine16.1-0.2 pts
21Bourgogne16.1-0.2 pts
21Martinique16.1-0.4 pts
24Auvergne15.8-0.2 pts
24Poitou-Charentes15.8-0.3 pts
26Corse15.50 pts
27Limousin14.8-0.1 pts

Other periods

About this ranking

Residents aged 0 to 14 as a percentage of total population.

More on how it is measured
  • 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

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 structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3) (Regions of France (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 France (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/france-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 France (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/france-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 France (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/france-regions?period=2019 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_france_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 France (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/france-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 France (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/france-regions?period=2019
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/population-0-14/france-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  -
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 France by population aged 0 to 14 using official data, and cite the source.
rank_places {"indicator":"population_0_14_share","level":"region","within":"France","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=population_0_14_share&level=region&within=France&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 population aged 0 to 14?

Mayotte, with 43.8% in 2019, according to Eurostat, European Commission.

Which region has the lowest population aged 0 to 14?

Limousin, with 14.8% 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 France (NUTS 2): more rankings