EU regions (NUTS 2) by natural change rate
Mayotte had the highest natural change rate of 241 regions in 2014, at 29.5 per 1,000 inhabitants. Severozapaden had the lowest, at -11.7 per 1,000 inhabitants. The median was -0.6 per 1,000 inhabitants and the figure for the European Union (27) was 0 per 1,000 inhabitants. Source: Eurostat, European Commission.
Top 40 regions, 2014
Full ranking
| Rank | Regions | 2014 | Change on 2013 |
|---|---|---|---|
| 1 | Mayotte | 29.5 | |
| 2 | Guyane | 22.7 | |
| 3 | Melilla | 13.5 | +1 pts |
| 4 | La Réunion | 11.5 | |
| 5 | Eastern and Midland | 9.8 | -0.4 pts |
| 6 | Ile-de-France | 9.3 | |
| 7 | Ceuta | 8.2 | +1.6 pts |
| 8 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest Series break | 8.1 | +0.4 pts |
| 9 | Flevoland | 7 | +0.9 pts |
| 10 | Southern | 6.9 | -0.3 pts |
| 11 | Stockholm | 6.4 | -0.3 pts |
| 12 | Northern and Western | 6.1 | -0.7 pts |
| 13 | Rhône-Alpes | 5.3 | |
| 14 | Guadeloupe | 5.1 | |
| 15 | Nord-Pas de Calais | 4.7 | |
| 16 | Kýpros | 4.5 | -0.4 pts |
| 16 | Utrecht | 4.5 | |
| 18 | Helsinki-Uusimaa | 4 | -0.3 pts |
| 18 | Luxembourg | 4 | -0.2 pts |
| 18 | Region of Murcia | 4 | -0.1 pts |
| 21 | Alsace | 3.8 | |
| 22 | Community of Madrid | 3.5 | -0.1 pts |
| 22 | Picardie | 3.5 | |
| 24 | Hovedstaden | 3.4 | +0.7 pts |
| 24 | Pays de la Loire | 3.4 | |
| 24 | Vorarlberg | 3.4 | +0.9 pts |
| 24 | Zuid-Holland | 3.4 | |
| 28 | Bratislavský kraj | 3.3 | +0.9 pts |
| 29 | Haute-Normandie | 3.2 | |
| 30 | Noord-Holland | 3 | +0.3 pts |
| 31 | Sydsverige | 2.8 | +0.4 pts |
| 31 | Västsverige | 2.8 | +0.3 pts |
| 33 | Martinique | 2.7 | |
| 33 | Provincia Autonoma di Bolzano/Bozen | 2.7 | +0.3 pts |
| 35 | Franche-Comté | 2.6 | |
| 35 | Provence-Alpes-Côte d’Azur | 2.6 | |
| 37 | Balearic Islands | 2.5 | -0.1 pts |
| 37 | Prov. Antwerpen Series break | 2.5 | +0.5 pts |
| 37 | Východné Slovensko | 2.5 | +0.1 pts |
| 40 | Prov. Luxembourg (BE) Series break | 2.4 | +0.3 pts |
| 40 | Zahodna Slovenija | 2.4 | +0.1 pts |
| 42 | Östra Mellansverige | 2.2 | +0.5 pts |
| 42 | Overijssel | 2.2 | +0.1 pts |
| 44 | Malta | 2.1 | +0.2 pts |
| 44 | Salzburg | 2.1 | +0.7 pts |
| 46 | Pomorskie | 2 | +0.3 pts |
| 46 | Praha | 2 | +0.6 pts |
| 46 | Tirol | 2 | +0.2 pts |
| 49 | Andalusia | 1.9 | 0 pts |
| 49 | Champagne-Ardenne | 1.9 | |
| 49 | Prov. Limburg (BE) Series break | 1.9 | +0.3 pts |
| 52 | Midtjylland | 1.8 | +0.2 pts |
| 52 | Wien | 1.8 | +0.5 pts |
| 54 | Centre - Val de Loire | 1.7 | |
| 54 | Midi-Pyrénées | 1.7 | |
| 54 | Střední Čechy | 1.7 | +0.7 pts |
| 54 | Wielkopolskie | 1.7 | +0.5 pts |
| 58 | Lorraine | 1.6 | |
| 59 | Berlin | 1.5 | +0.8 pts |
| 59 | Notio Aigaio | 1.5 | -0.1 pts |
| 59 | Prov. Vlaams-Brabant Series break | 1.5 | +0.2 pts |
| 59 | Warszawski stołeczny | 1.5 | |
| 63 | Catalonia | 1.4 | 0 pts |
| 63 | Gelderland | 1.4 | +0.2 pts |
| 63 | Małopolskie | 1.4 | +0.2 pts |
| 63 | Noord-Brabant | 1.4 | +0.2 pts |
| 67 | Hamburg | 1.3 | +0.8 pts |
| 67 | Languedoc-Roussillon | 1.3 | |
| 67 | Oberbayern | 1.3 | +0.5 pts |
| 67 | Oberösterreich | 1.3 | +0.9 pts |
| 71 | Prov. Oost-Vlaanderen Series break | 1.2 | +0.5 pts |
| 72 | Åland | 1.1 | +0.5 pts |
| 72 | Jihovýchod | 1.1 | +0.8 pts |
| 72 | Navarre | 1.1 | -0.1 pts |
| 72 | Prov. Brabant wallon Series break | 1.1 | -0.3 pts |
| 76 | Canary Islands | 1 | -0.1 pts |
| 76 | Grande Lisboa | 1 | |
| 76 | Småland med öarna | 1 | +0.6 pts |
| 79 | Bretagne | 0.9 | |
| 79 | Kriti | 0.9 | -0.3 pts |
| 81 | Friesland (NL) | 0.8 | +0.3 pts |
| 81 | Podkarpackie | 0.8 | -0.1 pts |
| 81 | Prov. Liège Series break | 0.8 | +0.4 pts |
| 84 | Aquitaine | 0.6 | |
| 84 | Valencian Community | 0.6 | -0.1 pts |
| 84 | Warmińsko-mazurskie | 0.6 | +0.8 pts |
| 87 | Prov. Namur Series break | 0.5 | +0.2 pts |
| 88 | Basse-Normandie | 0.3 | |
| 88 | Länsi-Suomi | 0.3 | -0.4 pts |
| 88 | Zeeland | 0.3 | +1.1 pts |
| 91 | Groningen | 0.2 | +0.3 pts |
| 91 | Lubuskie | 0.2 | +0.5 pts |
| 91 | Provincia Autonoma di Trento | 0.2 | -0.3 pts |
| 91 | Severovýchod | 0.2 | +0.6 pts |
| 95 | Darmstadt | 0.1 | +0.9 pts |
| 96 | Castilla-La Mancha | 0 | -0.4 pts |
| 96 | Kujawsko-pomorskie | 0 | +0.3 pts |
| 96 | Pohjois- ja Itä-Suomi | 0 | -0.4 pts |
| 96 | Região Autónoma dos Açores | 0 | +0.4 pts |
| 96 | Stuttgart | 0 | +0.6 pts |
| 96 | Vzhodna Slovenija | 0 | +0.4 pts |
| 102 | Campania | -0.1 | -0.2 pts |
| 102 | Jihozápad | -0.1 | +0.5 pts |
| 102 | Prov. Hainaut Series break | -0.1 | +0.3 pts |
| 102 | Stredné Slovensko | -0.1 | +0.1 pts |
| 106 | Corse | -0.2 | |
| 106 | La Rioja | -0.2 | -0.3 pts |
| 106 | Tübingen | -0.2 | +0.3 pts |
| 109 | Bourgogne | -0.3 | |
| 109 | Mazowiecki regionalny | -0.3 | |
| 109 | Övre Norrland | -0.3 | -0.1 pts |
| 112 | Basque Country | -0.4 | -0.1 pts |
| 112 | Lombardia | -0.4 | -0.1 pts |
| 112 | Poitou-Charentes | -0.4 | |
| 112 | Syddanmark | -0.4 | 0 pts |
| 112 | Zachodniopomorskie | -0.4 | +0.5 pts |
| 117 | Bucureşti-Ilfov Estimated | -0.5 | +0.4 pts |
| 117 | Península de Setúbal | -0.5 | |
| 117 | Střední Morava | -0.5 | +0.5 pts |
| 120 | Drenthe | -0.6 | +0.7 pts |
| 120 | Nordjylland | -0.6 | +0.7 pts |
| 122 | Podlaskie | -0.7 | +0.6 pts |
| 123 | Auvergne | -0.8 | |
| 123 | Lazio | -0.8 | -0.4 pts |
| 123 | Severozápad | -0.8 | +0.6 pts |
| 126 | Attiki | -0.9 | -0.2 pts |
| 126 | Freiburg | -0.9 | +0.4 pts |
| 126 | Köln | -0.9 | +0.9 pts |
| 126 | Moravskoslezsko | -0.9 | +0.5 pts |
| 126 | Norra Mellansverige | -0.9 | +0.8 pts |
| 126 | Prov. West-Vlaanderen Series break | -0.9 | +0.3 pts |
| 126 | Puglia | -0.9 | -0.3 pts |
| 126 | Schwaben | -0.9 | +0.7 pts |
| 126 | Sostinės regionas | -0.9 | +0.7 pts |
| 135 | Centru Estimated | -1 | +0.1 pts |
| 135 | Dolnośląskie | -1 | +0.6 pts |
| 135 | Karlsruhe | -1 | +0.6 pts |
| 135 | Sicilia | -1 | 0 pts |
| 139 | Lubelskie | -1.1 | +0.4 pts |
| 139 | Śląskie | -1.1 | +0.3 pts |
| 139 | Veneto | -1.1 | -0.2 pts |
| 142 | Niederösterreich | -1.2 | +0.3 pts |
| 142 | Steiermark | -1.2 | 0 pts |
| 142 | Západné Slovensko | -1.2 | 0 pts |
| 145 | Opolskie | -1.3 | +0.8 pts |
| 145 | Pest | -1.3 | +0.4 pts |
| 145 | Valle d’Aosta/Vallée d’Aoste | -1.3 | +0.5 pts |
| 148 | Calabria | -1.4 | -0.3 pts |
| 148 | Mittelfranken | -1.4 | +0.5 pts |
| 148 | Nord-Est Estimated | -1.4 | +0.2 pts |
| 151 | Eesti | -1.5 | -0.2 pts |
| 151 | Etelä-Suomi | -1.5 | -0.1 pts |
| 151 | Extremadura | -1.5 | +0.5 pts |
| 151 | Weser-Ems | -1.5 | +1.1 pts |
| 155 | Aragon | -1.6 | -0.3 pts |
| 155 | Detmold | -1.6 | +0.8 pts |
| 157 | Norte | -1.7 | 0 pts |
| 158 | Mellersta Norrland | -1.8 | +0.3 pts |
| 158 | Nord-Vest Estimated | -1.8 | +0.5 pts |
| 160 | Bremen | -1.9 | +1.4 pts |
| 160 | Kärnten | -1.9 | +0.2 pts |
| 160 | Limburg (NL) | -1.9 | -0.1 pts |
| 160 | Münster | -1.9 | +0.8 pts |
| 160 | Rheinhessen-Pfalz | -1.9 | +0.9 pts |
| 165 | Leipzig | -2 | +0.8 pts |
| 165 | Oberpfalz | -2 | +0.7 pts |
| 167 | Algarve | -2.1 | +0.2 pts |
| 168 | Észak-Alföld | -2.2 | +0.5 pts |
| 168 | Unterfranken | -2.2 | +0.6 pts |
| 170 | Cantabria | -2.3 | -1 pts |
| 170 | Jadranska Hrvatska | -2.3 | -0.3 pts |
| 170 | Niederbayern | -2.3 | +0.3 pts |
| 170 | Sjælland | -2.3 | +0.3 pts |
| 170 | Świętokrzyskie | -2.3 | +0.5 pts |
| 175 | Budapest | -2.4 | +0.5 pts |
| 175 | Kentriki Makedonia | -2.4 | -0.9 pts |
| 175 | Sardegna | -2.4 | -0.4 pts |
| 178 | Emilia-Romagna | -2.5 | -0.3 pts |
| 178 | Gießen | -2.5 | +0.6 pts |
| 178 | Trier | -2.5 | +0.5 pts |
| 181 | Dresden | -2.6 | +0.6 pts |
| 182 | Düsseldorf | -2.7 | +1 pts |
| 182 | Dytiki Elláda | -2.7 | -0.2 pts |
| 184 | Limousin | -2.8 | |
| 184 | Łódzkie | -2.8 | +0.7 pts |
| 186 | Abruzzo | -2.9 | -0.2 pts |
| 186 | Ionia Nisia | -2.9 | -0.5 pts |
| 186 | Marche | -2.9 | -0.2 pts |
| 189 | Lüneburg | -3 | +0.8 pts |
| 190 | Hannover | -3.1 | +0.6 pts |
| 190 | Schleswig-Holstein | -3.1 | +0.8 pts |
| 192 | Basilicata | -3.2 | 0 pts |
| 192 | Umbria | -3.2 | -0.1 pts |
| 194 | Piemonte | -3.3 | 0 pts |
| 194 | Toscana | -3.3 | +0.1 pts |
| 196 | Arnsberg | -3.4 | +0.9 pts |
| 196 | Közép-Dunántúl | -3.4 | +0.4 pts |
| 196 | Latvija | -3.4 | +0.6 pts |
| 199 | Burgenland | -3.5 | +0.4 pts |
| 199 | Kassel | -3.5 | +1.1 pts |
| 199 | Thessalia | -3.5 | -0.6 pts |
| 199 | Vest Estimated | -3.5 | +0.4 pts |
| 203 | Anatoliki Makedonia, Thraki | -3.6 | -0.4 pts |
| 203 | Dytiki Makedonia | -3.6 | +0.2 pts |
| 203 | Ipeiros | -3.6 | -0.1 pts |
| 206 | Braunschweig | -3.7 | +1 pts |
| 206 | Friuli-Venezia Giulia | -3.7 | +0.2 pts |
| 206 | Voreio Aigaio | -3.7 | -0.3 pts |
| 206 | Yugozapaden | -3.7 | 0 pts |
| 210 | Galicia | -3.8 | +0.1 pts |
| 210 | Mecklenburg-Vorpommern | -3.8 | +0.7 pts |
| 210 | Região Autónoma da Madeira | -3.8 | -1.5 pts |
| 213 | Brandenburg | -3.9 | +0.7 pts |
| 213 | Koblenz | -3.9 | +0.5 pts |
| 213 | Sud-Est Estimated | -3.9 | -0.1 pts |
| 216 | Castile and León | -4 | -0.1 pts |
| 216 | Oberfranken | -4 | +0.7 pts |
| 216 | Sterea Elláda | -4 | -0.7 pts |
| 219 | Nyugat-Dunántúl | -4.2 | +0.5 pts |
| 219 | Thüringen | -4.2 | +0.5 pts |
| 221 | Észak-Magyarország | -4.3 | +0.4 pts |
| 221 | Molise | -4.3 | -0.2 pts |
| 223 | Peloponnisos | -4.4 | -0.2 pts |
| 224 | Dél-Dunántúl | -4.7 | +0.7 pts |
| 225 | Oeste e Vale do Tejo | -4.8 | |
| 225 | Vidurio ir vakarų Lietuvos regionas | -4.8 | +0.5 pts |
| 227 | Centro (PT) | -4.9 | |
| 227 | Severoiztochen | -4.9 | -0.7 pts |
| 227 | Yugoiztochen | -4.9 | -0.7 pts |
| 230 | Sud-Muntenia Estimated | -5.2 | -0.1 pts |
| 231 | Dél-Alföld | -5.3 | +0.1 pts |
| 231 | Saarland | -5.3 | +0.7 pts |
| 231 | Yuzhen tsentralen | -5.3 | -0.7 pts |
| 234 | Sud-Vest Oltenia Estimated | -5.6 | -0.4 pts |
| 235 | Asturias | -5.9 | -0.2 pts |
| 236 | Sachsen-Anhalt | -6.1 | +0.4 pts |
| 237 | Chemnitz | -6.2 | +0.7 pts |
| 238 | Liguria | -6.3 | +0.4 pts |
| 239 | Alentejo | -7.3 | |
| 240 | Severen tsentralen | -9 | -1.1 pts |
| 241 | Severozapaden | -11.7 | -1 pts |
Other periods
About this ranking
Live births minus deaths during the year per 1,000 average residents (Eurostat crude rate of natural change).
Every value in the ranking comes from the same publisher and the same period, so the regions are compared on one definition. 3 regions with data in other periods have no value for 2014 and are left out rather than filled from another source. Equal values share a rank.
How to cite
Eurostat. Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Retrieved 2026-10-12.
Citation styles
APA 7
Eurostat, European Commission. (2026). Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3) (EU regions (NUTS 2) by natural change rate, 2014) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table
MLA 9
Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3), EU regions (NUTS 2) by natural change rate, 2014. Eurostat, European Commission, 21 July 2026, https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Invokely, https://invokely.ai/rankings/natural-change-rate/eu-regions?period=2014. Accessed 12 Oct. 2026.
Chicago (author-date)
Eurostat, European Commission. 2026. Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3). EU regions (NUTS 2) by natural change rate, 2014. Dataset. Accessed October 12, 2026. https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Also distributed by Invokely, https://invokely.ai/rankings/natural-change-rate/eu-regions?period=2014.
Harvard
Eurostat, European Commission (2026) Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3), EU regions (NUTS 2) by natural change rate, 2014 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table, via Invokely: https://invokely.ai/rankings/natural-change-rate/eu-regions?period=2014 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2014,
author = {{Eurostat, European Commission}},
title = {{Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo\_r\_gind3): EU regions (NUTS 2) by natural change rate, 2014}},
year = {2026},
howpublished = {Data set},
url = {https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/natural-change-rate/eu-regions?period=2014. Publisher attribution: Eurostat. Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo\_r\_gind3). https://ec.europa.eu/eurostat/databrowser/view/demo\_r\_gind3/default/table. Retrieved 2026-10-12.},
}
RIS
TY - DATA
AU - Eurostat, European Commission
TI - Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3): EU regions (NUTS 2) by natural change rate, 2014
PY - 2026
DA - 2026/07/21
PB - Eurostat, European Commission
DB - Invokely
UR - https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table
L2 - https://invokely.ai/rankings/natural-change-rate/eu-regions?period=2014
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/natural-change-rate/eu-regions?period=2014.
N1 - Publisher attribution: Eurostat. Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3). https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/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 natural change rate using official data, and cite the source.
rank_places {"indicator":"natural_change_rate","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=natural_change_rate&level=region&within=European%20Union%20(27)&limit=10
Questions
Which region has the highest natural change rate?
Mayotte, with 29.5 per 1,000 inhabitants in 2014, according to Eurostat, European Commission.
Which region has the lowest natural change rate?
Severozapaden, with -11.7 per 1,000 inhabitants in 2014.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, Population change, crude rate of natural change of population, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12. 3 regions have no value for 2014 and are not ranked.
Natural change rate: other rankings
- Regions of Portugal (NUTS 2)
- Regions of Greece (NUTS 2)
- Regions of Romania (NUTS 2)
- Provinces of Spain
- NUTS 3 areas of Estonia
- NUTS 3 areas of Romania