NUTS 3 areas of France by population aged 0 to 14

Mayotte had the highest population aged 0 to 14 of 101 areas in 2019, at 43.8%. Creuse had the lowest, at 13.3%. The median was 16.9% and the figure for France was 18%. Source: Eurostat, European Commission.

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Highest43.8Mayotte
Lowest13.3Creuse
Median16.9101 areas
France18History

Top 40 areas, 2019

Mayotte: 43.8 %Mayotte43.8Guyane: 32.2 %Guyane32.2Seine-Saint-Denis: 22.8 %Seine-Saint-Denis22.8La Réunion: 22.5 %La Réunion22.5Val-d’Oise: 22 %Val-d’Oise22Seine-et-Marne: 20.9 %Seine-et-Marne20.9Essonne: 20.7 %Essonne20.7Yvelines: 20.3 %Yvelines20.3Oise: 19.9 %Oise19.9Ain: 19.8 %Ain19.8Val-de-Marne: 19.7 %Val-de-Marne19.7Nord: 19.4 %Nord19.4Eure: 19.3 %Eure19.3Eure-et-Loir: 19.2 %Eure-et-Loir19.2Hauts-de-Seine: 19.2 %Hauts-de-Seine19.2Loiret: 19.1 %Loiret19.1Pas-de-Calais: 19.1 %Pas-de-Calais19.1Haute-Savoie: 19 %Haute-Savoie19Rhône: 19 %Rhône19Isère: 18.9 %Isère18.9Loire-Atlantique: 18.8 %Loire-Atlantique18.8Aisne: 18.6 %Aisne18.6Ille-et-Vilaine: 18.6 %Ille-et-Vilaine18.6Mayenne: 18.5 %Mayenne18.5Doubs: 18.4 %Doubs18.4Guadeloupe: 18.4 %Guadeloupe18.4Maine-et-Loire: 18.4 %Maine-et-Loire18.4Tarn-et-Garonne: 18.3 %Tarn-et-Garonne18.3Aube: 18.2 %Aube18.2Drôme: 18.2 %Drôme18.2Loire: 18.1 %Loire18.1Sarthe: 18 %Sarthe18Seine-Maritime: 18 %Seine-Maritime18Vaucluse: 17.9 %Vaucluse17.9Bouches-du-Rhône: 17.7 %Bouches-du-Rhône17.7Marne: 17.7 %Marne17.7Territoire de Belfort: 17.7 %Territoire de Belfort17.7Haute-Garonne: 17.6 %Haute-Garonne17.6Haut-Rhin: 17.5 %Haut-Rhin17.5Ardennes: 17.4 %Ardennes17.4Mayotte: 43.8 %Mayotte43.8Guyane: 32.2 %Guyane32.2Seine-Saint-Denis: 22.8 %Seine-Saint-Denis22.8La Réunion: 22.5 %La Réunion22.5Val-d’Oise: 22 %Val-d’Oise22Seine-et-Marne: 20.9 %Seine-et-Marne20.9Essonne: 20.7 %Essonne20.7Yvelines: 20.3 %Yvelines20.3Oise: 19.9 %Oise19.9Ain: 19.8 %Ain19.8Val-de-Marne: 19.7 %Val-de-Marne19.7Nord: 19.4 %Nord19.4Eure: 19.3 %Eure19.3Eure-et-Loir: 19.2 %Eure-et-Loir19.2Hauts-de-Seine: 19.2 %Hauts-de-Seine19.2Loiret: 19.1 %Loiret19.1Pas-de-Calais: 19.1 %Pas-de-Calais19.1Haute-Savoie: 19 %Haute-Savoie19Rhône: 19 %Rhône19Isère: 18.9 %Isère18.9Loire-Atlantique: 18.8 %Loire-Atlantique18.8Aisne: 18.6 %Aisne18.6Ille-et-Vilaine: 18.6 %Ille-et-Vilaine18.6Mayenne: 18.5 %Mayenne18.5Doubs: 18.4 %Doubs18.4Guadeloupe: 18.4 %Guadeloupe18.4Maine-et-Loire: 18.4 %Maine-et-Loire18.4Tarn-et-Garonne: 18.3 %Tarn-et-Garonne18.3Aube: 18.2 %Aube18.2Drôme: 18.2 %Drôme18.2Loire: 18.1 %Loire18.1Sarthe: 18 %Sarthe18Seine-Maritime: 18 %Seine-Maritime18Vaucluse: 17.9 %Vaucluse17.9Bouches-du-Rhône: 17.7 %Bouches-du-Rhône17.7Marne: 17.7 %Marne17.7Territoire de Belfort: 17.7 %Territoire de Belfort17.7Haute-Garonne: 17.6 %Haute-Garonne17.6Haut-Rhin: 17.5 %Haut-Rhin17.5Ardennes: 17.4 %Ardennes17.4
%. 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

RankAreas2019 (%)Change on 2018
1Mayotte43.80 pts
2Guyane32.2-0.4 pts
3Seine-Saint-Denis22.8+0.1 pts
4La Réunion22.5-0.5 pts
5Val-d’Oise22-0.1 pts
6Seine-et-Marne20.9-0.2 pts
7Essonne20.7-0.1 pts
8Yvelines20.3-0.2 pts
9Oise19.9-0.2 pts
10Ain19.8-0.1 pts
11Val-de-Marne19.70 pts
12Nord19.4-0.2 pts
13Eure19.3-0.3 pts
14Eure-et-Loir19.2-0.2 pts
14Hauts-de-Seine19.2+0.1 pts
16Loiret19.1-0.1 pts
16Pas-de-Calais19.1-0.2 pts
18Haute-Savoie19-0.2 pts
18Rhône190 pts
20Isère18.9-0.2 pts
21Loire-Atlantique18.8-0.2 pts
22Aisne18.6-0.4 pts
22Ille-et-Vilaine18.6-0.3 pts
24Mayenne18.5-0.3 pts
25Doubs18.4-0.1 pts
25Guadeloupe18.40 pts
25Maine-et-Loire18.4-0.3 pts
28Tarn-et-Garonne18.3-0.3 pts
29Aube18.2-0.1 pts
29Drôme18.2-0.3 pts
31Loire18.1-0.1 pts
32Sarthe18-0.3 pts
32Seine-Maritime18-0.2 pts
34Vaucluse17.9-0.2 pts
35Bouches-du-Rhône17.7-0.1 pts
35Marne17.7-0.2 pts
35Territoire de Belfort17.7-0.2 pts
38Haute-Garonne17.60 pts
39Haut-Rhin17.5-0.2 pts
40Ardennes17.4-0.2 pts
40Somme17.4-0.4 pts
40Vendée17.4-0.3 pts
43Savoie17.3-0.2 pts
44Deux-Sèvres17.2-0.3 pts
45Haute-Saône17.1-0.2 pts
46Gard17-0.2 pts
46Gironde17-0.1 pts
46Indre-et-Loire17-0.2 pts
46Yonne17-0.2 pts
50Bas-Rhin16.9-0.1 pts
50Meurthe-et-Moselle16.9-0.1 pts
52Calvados16.8-0.3 pts
52Hérault16.80 pts
52Jura16.8-0.3 pts
52Loir-et-Cher16.8-0.3 pts
56Meuse16.7-0.3 pts
56Moselle16.7-0.2 pts
58Haute-Loire16.6-0.3 pts
59Côtes-d’Armor16.5-0.3 pts
59Morbihan16.5-0.3 pts
59Vienne16.5-0.2 pts
62Ardèche16.4-0.3 pts
63Finistère16.3-0.3 pts
63Puy-de-Dôme16.3-0.1 pts
63Tarn16.3-0.2 pts
66Côte-d’Or16.2-0.2 pts
66Manche16.2-0.3 pts
66Orne16.2-0.3 pts
66Pyrénées-Orientales16.2-0.1 pts
66Saône-et-Loire16.2-0.2 pts
71Martinique16.1-0.4 pts
72Aude16-0.3 pts
72Hautes-Alpes16-0.4 pts
72Vosges16-0.3 pts
75Alpes-Maritimes15.90 pts
75Lot-et-Garonne15.9-0.2 pts
77Landes15.8-0.2 pts
78Cher15.7-0.3 pts
78Corse-du-Sud15.7+0.1 pts
78Haute-Marne15.7-0.3 pts
81Alpes-de-Haute-Provence15.6-0.2 pts
82Pyrénées-Atlantiques15.5-0.3 pts
82Var15.5-0.2 pts
84Charente15.4-0.3 pts
84Haute-Vienne15.4-0.1 pts
86Ariège15.3-0.3 pts
86Haute-Corse15.3-0.1 pts
88Lozère15.2-0.2 pts
89Allier15-0.2 pts
89Aveyron15-0.2 pts
91Gers14.9-0.3 pts
92Charente-Maritime14.8-0.3 pts
93Indre14.7-0.2 pts
94Corrèze14.6-0.2 pts
95Hautes-Pyrénées14.4-0.2 pts
96Nièvre14.3-0.1 pts
97Cantal14-0.2 pts
97Dordogne14-0.3 pts
97Paris14+0.1 pts
100Lot13.8-0.2 pts
101Creuse13.3-0.1 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 areas 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) (NUTS 3 areas of France 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), NUTS 3 areas of France 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-provinces?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). NUTS 3 areas of France 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-provinces?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), NUTS 3 areas of France 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-provinces?period=2019 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_nuts_3_areas_of_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): NUTS 3 areas of France 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-provinces?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): NUTS 3 areas of France 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-provinces?period=2019
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/population-0-14/france-provinces?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  - 
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Questions

Which area has the highest population aged 0 to 14?

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

Which area has the lowest population aged 0 to 14?

Creuse, with 13.3% 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

NUTS 3 areas of France: more rankings