EU regions (NUTS 2) by population aged 0 to 14
Mayotte had the highest population aged 0 to 14 of 244 regions in 2020, at 43.8%. Asturias had the lowest, at 10.8%. The median was 14.8% and the figure for the European Union (27) was 15.1%. Source: Eurostat, European Commission.
Top 40 regions, 2020
Full ranking
| Rank | Regions | 2020 (%) | Change on 2019 |
|---|---|---|---|
| 1 | Mayotte | 43.8 | 0 pts |
| 2 | Guyane | 32.1 | -0.1 pts |
| 3 | Melilla | 22.9 | -0.2 pts |
| 4 | La Réunion | 22.2 | -0.3 pts |
| 5 | Northern and Western | 20.5 | -0.2 pts |
| 6 | Eastern and Midland | 20.4 | -0.4 pts |
| 7 | Ceuta | 20.1 | -0.5 pts |
| 8 | Southern | 19.9 | -0.3 pts |
| 9 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 19.5 | -0.2 pts |
| 10 | Ile-de-France | 19.3 | -0.3 pts |
| 11 | Nord-Pas de Calais | 19.1 | -0.2 pts |
| 12 | Flevoland | 18.7 | -0.2 pts |
| 12 | Picardie | 18.7 | -0.1 pts |
| 14 | Stockholm | 18.6 | -0.1 pts |
| 15 | Rhône-Alpes | 18.5 | -0.1 pts |
| 16 | Haute-Normandie | 18.3 | -0.2 pts |
| 17 | Pays de la Loire | 18.2 | -0.1 pts |
| 18 | Sydsverige | 18.1 | 0 pts |
| 19 | Guadeloupe | 18 | -0.4 pts |
| 20 | Nord-Est | 17.9 | 0 pts |
| 21 | Prov. Luxembourg (BE) | 17.8 | -0.2 pts |
| 21 | Střední Čechy | 17.8 | +0.1 pts |
| 23 | Östra Mellansverige | 17.7 | 0 pts |
| 23 | Västsverige | 17.7 | -0.1 pts |
| 25 | Franche-Comté | 17.6 | -0.1 pts |
| 25 | Småland med öarna | 17.6 | 0 pts |
| 25 | Východné Slovensko | 17.6 | 0 pts |
| 28 | Bratislavský kraj | 17.5 | +0.3 pts |
| 29 | Centre - Val de Loire | 17.4 | -0.1 pts |
| 29 | Champagne-Ardenne | 17.4 | -0.1 pts |
| 31 | Prov. Hainaut | 17.1 | -0.1 pts |
| 31 | Prov. Vlaams-Brabant | 17.1 | 0 pts |
| 31 | Utrecht | 17.1 | -0.2 pts |
| 34 | Alsace | 17 | -0.1 pts |
| 34 | Bretagne | 17 | -0.1 pts |
| 34 | Prov. Antwerpen | 17 | 0 pts |
| 34 | Prov. Liège | 17 | 0 pts |
| 34 | Region of Murcia | 17 | -0.2 pts |
| 39 | Pomorskie | 16.9 | +0.1 pts |
| 39 | Prov. Brabant wallon | 16.9 | -0.1 pts |
| 39 | Warszawski stołeczny | 16.9 | +0.1 pts |
| 42 | Midtjylland | 16.8 | -0.2 pts |
| 43 | Hovedstaden | 16.7 | 0 pts |
| 43 | Mellersta Norrland | 16.7 | -0.1 pts |
| 43 | Norra Mellansverige | 16.7 | +0.1 pts |
| 43 | Prov. Namur | 16.7 | -0.2 pts |
| 47 | Lorraine | 16.6 | -0.1 pts |
| 47 | Pest | 16.6 | 0 pts |
| 47 | Provence-Alpes-Côte d’Azur | 16.6 | -0.2 pts |
| 47 | Wielkopolskie | 16.6 | +0.1 pts |
| 51 | Åland | 16.5 | -0.1 pts |
| 51 | Basse-Normandie | 16.5 | 0 pts |
| 51 | Centru | 16.5 | 0 pts |
| 51 | Eesti | 16.5 | +0.1 pts |
| 51 | Languedoc-Roussillon | 16.5 | -0.1 pts |
| 56 | Helsinki-Uusimaa | 16.4 | -0.2 pts |
| 56 | Midi-Pyrénées | 16.4 | -0.1 pts |
| 56 | Overijssel | 16.4 | -0.3 pts |
| 59 | Małopolskie | 16.3 | +0.2 pts |
| 59 | Prov. Oost-Vlaanderen | 16.3 | 0 pts |
| 59 | Sostinės regionas | 16.3 | 0 pts |
| 59 | Zuid-Holland | 16.3 | -0.2 pts |
| 63 | Övre Norrland | 16.2 | 0 pts |
| 64 | Syddanmark | 16.1 | -0.2 pts |
| 65 | Aquitaine | 16 | -0.1 pts |
| 65 | Bourgogne | 16 | -0.1 pts |
| 65 | Kriti | 16 | -0.1 pts |
| 65 | Latvija | 16 | +0.1 pts |
| 65 | Luxembourg | 16 | -0.1 pts |
| 65 | Notio Aigaio | 16 | -0.1 pts |
| 65 | Pohjois- ja Itä-Suomi | 16 | -0.2 pts |
| 65 | Vorarlberg | 16 | 0 pts |
| 73 | Jihovýchod | 15.9 | +0.1 pts |
| 73 | Martinique | 15.9 | -0.2 pts |
| 73 | Mazowiecki regionalny | 15.9 | +0.1 pts |
| 73 | Nord-Vest | 15.9 | 0 pts |
| 73 | Praha | 15.9 | +0.1 pts |
| 73 | Severovýchod | 15.9 | +0.1 pts |
| 79 | Länsi-Suomi | 15.8 | -0.3 pts |
| 79 | Poitou-Charentes | 15.8 | 0 pts |
| 79 | Severozápad | 15.8 | 0 pts |
| 79 | Sjælland | 15.8 | -0.2 pts |
| 79 | Yugoiztochen | 15.8 | -0.1 pts |
| 84 | Auvergne | 15.7 | -0.1 pts |
| 84 | Friesland (NL) | 15.7 | -0.3 pts |
| 84 | Jihozápad | 15.7 | +0.1 pts |
| 84 | Kýpros | 15.7 | -0.1 pts |
| 84 | Nordjylland | 15.7 | -0.1 pts |
| 89 | Gelderland | 15.6 | -0.2 pts |
| 89 | Noord-Holland | 15.6 | -0.2 pts |
| 89 | Provincia Autonoma di Bolzano/Bozen | 15.6 | -0.1 pts |
| 89 | Zahodna Slovenija | 15.6 | 0 pts |
| 93 | Andalusia | 15.5 | -0.3 pts |
| 93 | Bucureşti-Ilfov | 15.5 | +0.3 pts |
| 93 | Sud-Est | 15.5 | 0 pts |
| 96 | Észak-Alföld | 15.4 | 0 pts |
| 96 | Lubuskie | 15.4 | 0 pts |
| 96 | Podkarpackie | 15.4 | +0.1 pts |
| 96 | Prov. Limburg (BE) | 15.4 | -0.1 pts |
| 96 | Střední Morava | 15.4 | +0.1 pts |
| 96 | Warmińsko-mazurskie | 15.4 | -0.1 pts |
| 102 | Corse | 15.3 | -0.2 pts |
| 102 | Moravskoslezsko | 15.3 | +0.1 pts |
| 102 | Navarre | 15.3 | -0.2 pts |
| 102 | Região Autónoma dos Açores | 15.3 | -0.3 pts |
| 102 | Stredné Slovensko | 15.3 | +0.1 pts |
| 107 | Grad Zagreb | 15.2 | 0 pts |
| 107 | Kujawsko-pomorskie | 15.2 | 0 pts |
| 109 | Catalonia | 15.1 | -0.2 pts |
| 109 | Észak-Magyarország | 15.1 | 0 pts |
| 109 | Noord-Brabant | 15.1 | -0.1 pts |
| 109 | Oberösterreich | 15.1 | 0 pts |
| 109 | Zeeland | 15.1 | -0.1 pts |
| 114 | Community of Madrid | 15 | -0.3 pts |
| 114 | Drenthe | 15 | -0.3 pts |
| 114 | Península de Setúbal | 15 | -0.2 pts |
| 114 | Prov. West-Vlaanderen | 15 | 0 pts |
| 118 | Castilla-La Mancha | 14.9 | -0.1 pts |
| 118 | Grande Lisboa | 14.9 | -0.3 pts |
| 118 | Podlaskie | 14.9 | +0.1 pts |
| 121 | Balearic Islands | 14.8 | -0.2 pts |
| 121 | Lubelskie | 14.8 | 0 pts |
| 121 | Sjeverna Hrvatska | 14.8 | -0.1 pts |
| 124 | Dolnośląskie | 14.7 | +0.1 pts |
| 124 | Limousin | 14.7 | -0.1 pts |
| 124 | Sud-Muntenia | 14.7 | -0.1 pts |
| 127 | Salzburg | 14.6 | 0 pts |
| 127 | Śląskie | 14.6 | +0.1 pts |
| 127 | Valencian Community | 14.6 | -0.2 pts |
| 127 | Vest | 14.6 | 0 pts |
| 127 | Vzhodna Slovenija | 14.6 | 0 pts |
| 127 | Wien | 14.6 | 0 pts |
| 127 | Zachodniopomorskie | 14.6 | 0 pts |
| 134 | Tirol | 14.5 | -0.1 pts |
| 134 | Voreio Aigaio | 14.5 | 0 pts |
| 136 | Darmstadt | 14.4 | +0.1 pts |
| 136 | Detmold | 14.4 | 0 pts |
| 136 | Etelä-Suomi | 14.4 | -0.3 pts |
| 136 | Łódzkie | 14.4 | +0.1 pts |
| 136 | Niederösterreich | 14.4 | -0.1 pts |
| 141 | Campania | 14.3 | -0.2 pts |
| 141 | Freiburg | 14.3 | +0.1 pts |
| 141 | Hamburg | 14.3 | +0.1 pts |
| 141 | La Rioja | 14.3 | -0.2 pts |
| 141 | Tübingen | 14.3 | +0.1 pts |
| 146 | Berlin | 14.2 | +0.1 pts |
| 146 | Ionia Nisia | 14.2 | -0.1 pts |
| 146 | Közép-Dunántúl | 14.2 | 0 pts |
| 146 | Oberbayern | 14.2 | +0.1 pts |
| 146 | Vidurio ir vakarų Lietuvos regionas | 14.2 | -0.1 pts |
| 146 | Weser-Ems | 14.2 | +0.1 pts |
| 152 | Algarve | 14.1 | -0.3 pts |
| 152 | Münster | 14.1 | +0.1 pts |
| 152 | Provincia Autonoma di Trento | 14.1 | -0.2 pts |
| 152 | Stuttgart | 14.1 | 0 pts |
| 152 | Yugozapaden | 14.1 | +0.1 pts |
| 152 | Západné Slovensko | 14.1 | +0.1 pts |
| 158 | Anatoliki Makedonia, Thraki | 14 | -0.2 pts |
| 158 | Jadranska Hrvatska | 14 | -0.1 pts |
| 158 | Kentriki Makedonia | 14 | -0.1 pts |
| 158 | Opolskie | 14 | +0.2 pts |
| 158 | Panonska Hrvatska | 14 | -0.1 pts |
| 158 | Schwaben | 14 | +0.2 pts |
| 158 | Severoiztochen | 14 | -0.2 pts |
| 165 | Dytiki Elláda | 13.9 | -0.1 pts |
| 165 | Groningen | 13.9 | -0.2 pts |
| 165 | Köln | 13.9 | 0 pts |
| 165 | Lüneburg | 13.9 | +0.1 pts |
| 165 | Thessalia | 13.9 | -0.1 pts |
| 165 | Yuzhen tsentralen | 13.9 | -0.1 pts |
| 171 | Aragon | 13.8 | -0.2 pts |
| 171 | Dresden | 13.8 | +0.1 pts |
| 171 | Düsseldorf | 13.8 | +0.1 pts |
| 171 | Mittelfranken | 13.8 | +0.1 pts |
| 171 | Świętokrzyskie | 13.8 | 0 pts |
| 176 | Bremen | 13.7 | +0.2 pts |
| 176 | Dél-Alföld | 13.7 | 0 pts |
| 176 | Leipzig | 13.7 | +0.1 pts |
| 176 | Nyugat-Dunántúl | 13.7 | 0 pts |
| 176 | Sud-Vest Oltenia | 13.7 | -0.1 pts |
| 181 | Basque Country | 13.6 | -0.2 pts |
| 181 | Rheinhessen-Pfalz | 13.6 | +0.1 pts |
| 181 | Sicilia | 13.6 | -0.2 pts |
| 184 | Arnsberg | 13.5 | +0.1 pts |
| 184 | Attiki | 13.5 | -0.1 pts |
| 184 | Dél-Dunántúl | 13.5 | -0.1 pts |
| 184 | Hannover | 13.5 | +0.1 pts |
| 184 | Karlsruhe | 13.5 | +0.1 pts |
| 184 | Região Autónoma da Madeira | 13.5 | -0.3 pts |
| 190 | Extremadura | 13.4 | -0.2 pts |
| 190 | Lombardia | 13.4 | -0.2 pts |
| 190 | Niederbayern | 13.4 | +0.1 pts |
| 190 | Schleswig-Holstein | 13.4 | +0.1 pts |
| 190 | Steiermark | 13.4 | 0 pts |
| 195 | Brandenburg | 13.3 | +0.2 pts |
| 195 | Budapest | 13.3 | -0.1 pts |
| 195 | Gießen | 13.3 | +0.1 pts |
| 195 | Kärnten | 13.3 | -0.1 pts |
| 195 | Koblenz | 13.3 | +0.1 pts |
| 195 | Oberpfalz | 13.3 | +0.2 pts |
| 195 | Sterea Elláda | 13.3 | -0.2 pts |
| 195 | Trier | 13.3 | +0.1 pts |
| 203 | Kassel | 13.2 | +0.1 pts |
| 203 | Malta | 13.2 | -0.3 pts |
| 205 | Braunschweig | 13.1 | +0.1 pts |
| 205 | Burgenland | 13.1 | -0.1 pts |
| 205 | Calabria | 13.1 | -0.1 pts |
| 205 | Lazio | 13.1 | -0.2 pts |
| 205 | Oeste e Vale do Tejo | 13.1 | -0.2 pts |
| 205 | Severozapaden | 13.1 | -0.1 pts |
| 205 | Unterfranken | 13.1 | +0.1 pts |
| 212 | Canary Islands | 13 | -0.3 pts |
| 212 | Cantabria | 13 | -0.3 pts |
| 212 | Dytiki Makedonia | 13 | -0.2 pts |
| 212 | Peloponnisos | 13 | -0.2 pts |
| 212 | Veneto | 13 | -0.2 pts |
| 217 | Emilia-Romagna | 12.9 | -0.2 pts |
| 217 | Ipeiros | 12.9 | -0.1 pts |
| 217 | Valle d’Aosta/Vallée d’Aoste | 12.9 | -0.2 pts |
| 220 | Limburg (NL) | 12.8 | -0.2 pts |
| 220 | Mecklenburg-Vorpommern | 12.8 | +0.1 pts |
| 220 | Norte | 12.8 | -0.2 pts |
| 220 | Puglia | 12.8 | -0.3 pts |
| 220 | Thüringen | 12.8 | +0.1 pts |
| 225 | Chemnitz | 12.6 | +0.1 pts |
| 225 | Oberfranken | 12.6 | +0.1 pts |
| 227 | Alentejo | 12.4 | -0.1 pts |
| 227 | Marche | 12.4 | -0.2 pts |
| 227 | Severen tsentralen | 12.4 | -0.1 pts |
| 230 | Sachsen-Anhalt | 12.3 | +0.1 pts |
| 231 | Abruzzo | 12.2 | -0.2 pts |
| 231 | Piemonte | 12.2 | -0.2 pts |
| 231 | Saarland | 12.2 | +0.1 pts |
| 231 | Toscana | 12.2 | -0.2 pts |
| 231 | Umbria | 12.2 | -0.2 pts |
| 236 | Centro (PT) | 12 | -0.2 pts |
| 237 | Castile and León | 11.8 | -0.1 pts |
| 237 | Friuli-Venezia Giulia | 11.8 | -0.2 pts |
| 239 | Basilicata | 11.7 | -0.2 pts |
| 239 | Galicia | 11.7 | -0.1 pts |
| 241 | Molise | 11.2 | -0.1 pts |
| 242 | Liguria | 11 | -0.1 pts |
| 242 | Sardegna | 11 | -0.2 pts |
| 244 | Asturias | 10.8 | -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
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) (EU regions (NUTS 2) by population aged 0 to 14, 2020) [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), EU regions (NUTS 2) by population aged 0 to 14, 2020. 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/eu-regions?period=2020. 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). EU regions (NUTS 2) by population aged 0 to 14, 2020. 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/eu-regions?period=2020.
Harvard
Eurostat, European Commission (2026) Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo_r_pjanind3), EU regions (NUTS 2) by population aged 0 to 14, 2020 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/demo_r_pjanind3/default/table, via Invokely: https://invokely.ai/rankings/population-0-14/eu-regions?period=2020 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2020,
author = {{Eurostat, European Commission}},
title = {{Population structure indicators by NUTS 2 and 3 region, proportion of population aged 0 to 14 (demo\_r\_pjanind3): EU regions (NUTS 2) by population aged 0 to 14, 2020}},
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/eu-regions?period=2020. 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): EU regions (NUTS 2) by population aged 0 to 14, 2020
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/eu-regions?period=2020
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/population-0-14/eu-regions?period=2020.
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 EU regions by population aged 0 to 14 using official data, and cite the source.
rank_places {"indicator":"population_0_14_share","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=population_0_14_share&level=region&within=European%20Union%20(27)&limit=10
Questions
Which region has the highest population aged 0 to 14?
Mayotte, with 43.8% in 2020, according to Eurostat, European Commission.
Which region has the lowest population aged 0 to 14?
Asturias, with 10.8% in 2020.
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 Czechia (NUTS 2)
- Regions of Italy (NUTS 2)
- Regions of Germany (NUTS 2)
- NUTS 3 areas of Denmark
- NUTS 3 areas of Estonia
- NUTS 3 areas of Netherlands