EU regions (NUTS 2) by population aged 0 to 14
Mayotte had the highest population aged 0 to 14 of 244 regions in 2022, at 43.8%. Asturias had the lowest, at 10.4%. The median was 14.6% and the figure for the European Union (27) was 15%. Source: Eurostat, European Commission.
Top 40 regions, 2022
Full ranking
| Rank | Regions | 2022 (%) | Change on 2021 |
|---|---|---|---|
| 1 | Mayotte | 43.8 | 0 pts |
| 2 | Guyane | 31.5 | -0.4 pts |
| 3 | Melilla | 21.7 | -0.8 pts |
| 4 | La Réunion | 21.6 | -0.4 pts |
| 5 | Northern and Western | 20 | -0.1 pts |
| 6 | Eastern and Midland | 19.7 | -0.4 pts |
| 7 | Southern | 19.4 | -0.3 pts |
| 8 | Ceuta | 19 | -0.6 pts |
| 8 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 19 | -0.2 pts |
| 10 | Ile-de-France | 18.7 | -0.4 pts |
| 11 | Nord-Pas de Calais | 18.6 | -0.3 pts |
| 12 | Nord-Est Estimated | 18.5 | +0.5 pts |
| 13 | Flevoland | 18.4 | -0.1 pts |
| 13 | Picardie | 18.4 | -0.2 pts |
| 15 | Stockholm | 18.2 | -0.2 pts |
| 16 | Rhône-Alpes | 18.1 | -0.2 pts |
| 17 | Haute-Normandie | 18 | -0.2 pts |
| 17 | Východné Slovensko | 18 | +0.4 pts |
| 19 | Střední Čechy | 17.9 | +0.1 pts |
| 19 | Sydsverige | 17.9 | -0.1 pts |
| 21 | Pays de la Loire | 17.7 | -0.3 pts |
| 22 | Östra Mellansverige | 17.6 | -0.1 pts |
| 22 | Västsverige | 17.6 | -0.1 pts |
| 24 | Småland med öarna | 17.5 | -0.1 pts |
| 25 | Prov. Luxembourg (BE) | 17.4 | -0.2 pts |
| 26 | Franche-Comté | 17.3 | -0.2 pts |
| 27 | Guadeloupe | 17.2 | -0.5 pts |
| 28 | Bratislavský kraj | 17.1 | -0.6 pts |
| 28 | Centre - Val de Loire | 17.1 | -0.1 pts |
| 30 | Champagne-Ardenne | 17 | -0.2 pts |
| 30 | Prov. Vlaams-Brabant | 17 | 0 pts |
| 32 | Centru Estimated | 16.9 | +0.4 pts |
| 32 | Utrecht | 16.9 | -0.1 pts |
| 34 | Pomorskie Estimated | 16.8 | +0.1 pts |
| 34 | Prov. Antwerpen | 16.8 | -0.1 pts |
| 34 | Prov. Hainaut | 16.8 | -0.2 pts |
| 34 | Prov. Liège | 16.8 | -0.1 pts |
| 34 | Sostinės regionas | 16.8 | 0 pts |
| 39 | Pest | 16.7 | 0 pts |
| 40 | Alsace | 16.6 | -0.2 pts |
| 40 | Bretagne | 16.6 | -0.2 pts |
| 40 | Mellersta Norrland | 16.6 | -0.1 pts |
| 40 | Prov. Brabant wallon | 16.6 | -0.1 pts |
| 40 | Warszawski stołeczny Estimated | 16.6 | 0 pts |
| 45 | Małopolskie Estimated | 16.5 | 0 pts |
| 45 | Midtjylland | 16.5 | -0.2 pts |
| 45 | Nord-Vest Estimated | 16.5 | +0.5 pts |
| 45 | Norra Mellansverige | 16.5 | -0.1 pts |
| 45 | Wielkopolskie Estimated | 16.5 | 0 pts |
| 50 | Åland | 16.4 | -0.1 pts |
| 50 | Eesti | 16.4 | 0 pts |
| 50 | Hovedstaden | 16.4 | -0.2 pts |
| 50 | Prov. Namur | 16.4 | -0.2 pts |
| 50 | Region of Murcia | 16.4 | -0.3 pts |
| 55 | Lorraine | 16.3 | -0.2 pts |
| 56 | Bucureşti-Ilfov Estimated | 16.2 | +0.3 pts |
| 56 | Jihovýchod | 16.2 | +0.1 pts |
| 56 | Provence-Alpes-Côte d’Azur | 16.2 | -0.2 pts |
| 59 | Basse-Normandie | 16.1 | -0.2 pts |
| 59 | Helsinki-Uusimaa | 16.1 | -0.2 pts |
| 59 | Languedoc-Roussillon | 16.1 | -0.2 pts |
| 59 | Mazowiecki regionalny Estimated | 16.1 | 0 pts |
| 59 | Midi-Pyrénées | 16.1 | -0.2 pts |
| 59 | Övre Norrland | 16.1 | -0.1 pts |
| 59 | Prov. Oost-Vlaanderen | 16.1 | -0.1 pts |
| 59 | Zuid-Holland | 16.1 | -0.1 pts |
| 67 | Latvija | 16 | 0 pts |
| 67 | Overijssel | 16 | -0.2 pts |
| 67 | Podkarpackie Estimated | 16 | 0 pts |
| 67 | Praha | 16 | 0 pts |
| 67 | Severovýchod | 16 | 0 pts |
| 72 | Luxembourg | 15.9 | -0.1 pts |
| 72 | Syddanmark | 15.9 | -0.1 pts |
| 72 | Vorarlberg | 15.9 | 0 pts |
| 75 | Jihozápad | 15.8 | 0 pts |
| 76 | Aquitaine | 15.7 | -0.2 pts |
| 76 | Bourgogne | 15.7 | -0.2 pts |
| 76 | Kriti | 15.7 | -0.2 pts |
| 76 | Severozápad | 15.7 | 0 pts |
| 76 | Sud-Est Estimated | 15.7 | +0.2 pts |
| 76 | Yugoiztochen | 15.7 | -0.1 pts |
| 82 | Notio Aigaio | 15.6 | -0.2 pts |
| 82 | Sjælland | 15.6 | -0.1 pts |
| 82 | Stredné Slovensko | 15.6 | +0.3 pts |
| 82 | Střední Morava | 15.6 | +0.1 pts |
| 86 | Észak-Alföld | 15.5 | +0.1 pts |
| 86 | Kýpros | 15.5 | -0.1 pts |
| 86 | Podlaskie Estimated | 15.5 | +0.1 pts |
| 86 | Pohjois- ja Itä-Suomi | 15.5 | -0.3 pts |
| 86 | Provincia Autonoma di Bolzano/Bozen | 15.5 | 0 pts |
| 86 | Zahodna Slovenija | 15.5 | 0 pts |
| 92 | Auvergne | 15.4 | -0.2 pts |
| 92 | Friesland (NL) | 15.4 | -0.1 pts |
| 92 | Gelderland | 15.4 | -0.1 pts |
| 92 | Länsi-Suomi | 15.4 | -0.2 pts |
| 92 | Martinique | 15.4 | -0.4 pts |
| 92 | Nordjylland | 15.4 | -0.1 pts |
| 92 | Poitou-Charentes | 15.4 | -0.2 pts |
| 92 | Warmińsko-mazurskie Estimated | 15.4 | -0.1 pts |
| 100 | Észak-Magyarország | 15.3 | +0.1 pts |
| 100 | Kujawsko-pomorskie Estimated | 15.3 | -0.1 pts |
| 100 | Moravskoslezsko | 15.3 | 0 pts |
| 100 | Noord-Holland | 15.3 | -0.1 pts |
| 104 | Grad Zagreb | 15.2 | 0 pts |
| 104 | Lubuskie Estimated | 15.2 | -0.1 pts |
| 104 | Prov. Limburg (BE) | 15.2 | -0.1 pts |
| 104 | Vest Estimated | 15.2 | +0.5 pts |
| 108 | Corse | 15.1 | 0 pts |
| 108 | Lubelskie Estimated | 15.1 | 0 pts |
| 108 | Oberösterreich | 15.1 | 0 pts |
| 108 | Sud-Muntenia Estimated | 15.1 | +0.5 pts |
| 112 | Navarre | 14.9 | -0.2 pts |
| 112 | Prov. West-Vlaanderen | 14.9 | 0 pts |
| 112 | Zeeland | 14.9 | 0 pts |
| 115 | Andalusia | 14.8 | -0.4 pts |
| 115 | Noord-Brabant | 14.8 | -0.1 pts |
| 115 | Região Autónoma dos Açores | 14.8 | -0.2 pts |
| 115 | Śląskie Estimated | 14.8 | 0 pts |
| 119 | Detmold | 14.7 | +0.2 pts |
| 119 | Drenthe | 14.7 | -0.1 pts |
| 119 | Vzhodna Slovenija | 14.7 | +0.1 pts |
| 122 | Darmstadt | 14.6 | +0.2 pts |
| 122 | Dolnośląskie Estimated | 14.6 | +0.1 pts |
| 122 | Grande Lisboa | 14.6 | -0.1 pts |
| 122 | Península de Setúbal | 14.6 | -0.2 pts |
| 122 | Salzburg | 14.6 | 0 pts |
| 122 | Sjeverna Hrvatska | 14.6 | -0.1 pts |
| 128 | Catalonia | 14.5 | -0.2 pts |
| 128 | Freiburg | 14.5 | +0.1 pts |
| 128 | Hamburg | 14.5 | +0.1 pts |
| 128 | Tirol | 14.5 | 0 pts |
| 128 | Tübingen | 14.5 | +0.1 pts |
| 128 | Wien | 14.5 | 0 pts |
| 134 | Balearic Islands | 14.4 | -0.2 pts |
| 134 | Berlin | 14.4 | +0.1 pts |
| 134 | Castilla-La Mancha | 14.4 | -0.3 pts |
| 134 | Community of Madrid | 14.4 | -0.3 pts |
| 134 | Limousin | 14.4 | -0.1 pts |
| 134 | Łódzkie Estimated | 14.4 | 0 pts |
| 134 | Münster | 14.4 | +0.2 pts |
| 134 | Niederösterreich | 14.4 | 0 pts |
| 134 | Oberbayern | 14.4 | +0.1 pts |
| 134 | Schwaben | 14.4 | +0.3 pts |
| 134 | Stuttgart | 14.4 | +0.2 pts |
| 134 | Sud-Vest Oltenia Estimated | 14.4 | +0.8 pts |
| 134 | Weser-Ems | 14.4 | +0.2 pts |
| 134 | Yugozapaden | 14.4 | +0.1 pts |
| 134 | Zachodniopomorskie Estimated | 14.4 | -0.1 pts |
| 149 | Közép-Dunántúl | 14.3 | +0.1 pts |
| 149 | Západné Slovensko | 14.3 | +0.1 pts |
| 151 | Lüneburg | 14.2 | +0.2 pts |
| 151 | Opolskie Estimated | 14.2 | +0.1 pts |
| 151 | Świętokrzyskie Estimated | 14.2 | 0 pts |
| 154 | Bremen | 14.1 | +0.2 pts |
| 154 | Düsseldorf | 14.1 | +0.2 pts |
| 154 | Köln | 14.1 | +0.1 pts |
| 154 | Mittelfranken | 14.1 | +0.2 pts |
| 154 | Severoiztochen | 14.1 | 0 pts |
| 154 | Vidurio ir vakarų Lietuvos regionas | 14.1 | 0 pts |
| 160 | Campania | 14 | -0.3 pts |
| 160 | Dresden | 14 | +0.1 pts |
| 160 | Etelä-Suomi | 14 | -0.2 pts |
| 160 | Ionia Nisia | 14 | 0 pts |
| 160 | Rheinhessen-Pfalz | 14 | +0.2 pts |
| 160 | Yuzhen tsentralen | 14 | 0 pts |
| 166 | Jadranska Hrvatska | 13.9 | 0 pts |
| 166 | La Rioja | 13.9 | -0.2 pts |
| 166 | Leipzig | 13.9 | +0.1 pts |
| 166 | Valencian Community | 13.9 | -0.3 pts |
| 170 | Arnsberg | 13.8 | +0.1 pts |
| 170 | Dél-Alföld | 13.8 | 0 pts |
| 170 | Hannover | 13.8 | +0.2 pts |
| 170 | Karlsruhe | 13.8 | +0.2 pts |
| 170 | Panonska Hrvatska | 13.8 | 0 pts |
| 170 | Voreio Aigaio | 13.8 | -0.4 pts |
| 176 | Algarve | 13.7 | -0.1 pts |
| 176 | Groningen | 13.7 | 0 pts |
| 176 | Koblenz | 13.7 | +0.2 pts |
| 176 | Niederbayern | 13.7 | +0.2 pts |
| 176 | Nyugat-Dunántúl | 13.7 | 0 pts |
| 176 | Provincia Autonoma di Trento | 13.7 | -0.2 pts |
| 182 | Dytiki Elláda | 13.6 | -0.1 pts |
| 182 | Oberpfalz | 13.6 | +0.1 pts |
| 184 | Anatoliki Makedonia, Thraki | 13.5 | -0.3 pts |
| 184 | Aragon | 13.5 | -0.2 pts |
| 184 | Brandenburg | 13.5 | +0.1 pts |
| 184 | Braunschweig | 13.5 | +0.2 pts |
| 184 | Dél-Dunántúl | 13.5 | 0 pts |
| 184 | Gießen | 13.5 | +0.2 pts |
| 184 | Kassel | 13.5 | +0.2 pts |
| 184 | Kentriki Makedonia | 13.5 | -0.2 pts |
| 184 | Schleswig-Holstein | 13.5 | +0.1 pts |
| 184 | Sicilia | 13.5 | -0.2 pts |
| 184 | Thessalia | 13.5 | -0.1 pts |
| 184 | Trier | 13.5 | +0.1 pts |
| 196 | Steiermark | 13.4 | 0 pts |
| 196 | Unterfranken | 13.4 | +0.2 pts |
| 198 | Attiki | 13.2 | -0.2 pts |
| 198 | Kärnten | 13.2 | 0 pts |
| 200 | Basque Country | 13.1 | -0.2 pts |
| 200 | Burgenland | 13.1 | 0 pts |
| 200 | Lombardia | 13.1 | -0.2 pts |
| 200 | Severozapaden | 13.1 | 0 pts |
| 204 | Calabria | 13 | -0.2 pts |
| 204 | Extremadura | 13 | -0.2 pts |
| 204 | Malta | 13 | -0.2 pts |
| 204 | Sterea Elláda | 13 | -0.2 pts |
| 208 | Budapest | 12.9 | -0.3 pts |
| 208 | Mecklenburg-Vorpommern | 12.9 | +0.1 pts |
| 208 | Oberfranken | 12.9 | +0.2 pts |
| 208 | Thüringen | 12.9 | +0.1 pts |
| 212 | Chemnitz | 12.8 | +0.1 pts |
| 212 | Lazio | 12.8 | -0.3 pts |
| 212 | Oeste e Vale do Tejo | 12.8 | -0.2 pts |
| 212 | Região Autónoma da Madeira | 12.8 | -0.4 pts |
| 216 | Limburg (NL) | 12.7 | -0.1 pts |
| 216 | Peloponnisos | 12.7 | -0.1 pts |
| 218 | Emilia-Romagna | 12.6 | -0.1 pts |
| 218 | Ipeiros | 12.6 | -0.1 pts |
| 218 | Sachsen-Anhalt | 12.6 | +0.2 pts |
| 218 | Veneto | 12.6 | -0.2 pts |
| 222 | Dytiki Makedonia | 12.5 | -0.2 pts |
| 222 | Puglia | 12.5 | -0.3 pts |
| 222 | Saarland | 12.5 | +0.2 pts |
| 222 | Severen tsentralen | 12.5 | +0.1 pts |
| 226 | Cantabria | 12.4 | -0.3 pts |
| 226 | Norte | 12.4 | -0.2 pts |
| 226 | Valle d’Aosta/Vallée d’Aoste | 12.4 | -0.3 pts |
| 229 | Alentejo | 12.3 | -0.1 pts |
| 230 | Canary Islands | 12.2 | -0.4 pts |
| 231 | Abruzzo | 12.1 | -0.1 pts |
| 231 | Marche | 12.1 | -0.2 pts |
| 233 | Piemonte | 11.9 | -0.2 pts |
| 233 | Toscana | 11.9 | -0.1 pts |
| 233 | Umbria | 11.9 | -0.2 pts |
| 236 | Centro (PT) | 11.7 | -0.2 pts |
| 237 | Basilicata | 11.5 | -0.2 pts |
| 237 | Friuli-Venezia Giulia | 11.5 | -0.2 pts |
| 239 | Castile and León | 11.4 | -0.2 pts |
| 240 | Galicia | 11.3 | -0.2 pts |
| 241 | Molise | 10.9 | -0.2 pts |
| 242 | Liguria | 10.8 | -0.2 pts |
| 243 | Sardegna | 10.7 | -0.2 pts |
| 244 | Asturias | 10.4 | -0.2 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, 2022) [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, 2022. 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=2022. 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, 2022. 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=2022.
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, 2022 [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=2022 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2022,
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, 2022}},
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=2022. 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, 2022
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=2022
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/population-0-14/eu-regions?period=2022.
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 2022, according to Eurostat, European Commission.
Which region has the lowest population aged 0 to 14?
Asturias, with 10.4% in 2022.
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