EU regions (NUTS 2) by natural change rate
Mayotte had the highest natural change rate of 241 regions in 2018, at 33.4 per 1,000 inhabitants. Severozapaden had the lowest, at -12.6 per 1,000 inhabitants. The median was -1.5 per 1,000 inhabitants and the figure for the European Union (27) was -1 per 1,000 inhabitants. Source: Eurostat, European Commission.
Top 40 regions, 2018
Full ranking
| Rank | Regions | 2018 | Change on 2017 |
|---|---|---|---|
| 1 | Mayotte | 33.4 | -2 pts |
| 2 | Guyane | 25.4 | -0.6 pts |
| 3 | La Réunion | 9.7 | -0.9 pts |
| 4 | Melilla | 9.6 | -0.3 pts |
| 5 | Ile-de-France | 8.1 | -0.1 pts |
| 6 | Eastern and Midland | 7.2 | -0.5 pts |
| 7 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 7 | -0.3 pts |
| 8 | Flevoland | 5.6 | 0 pts |
| 9 | Stockholm | 5.4 | -0.3 pts |
| 10 | Ceuta | 5.1 | -0.6 pts |
| 10 | Southern | 5.1 | -0.3 pts |
| 12 | Northern and Western | 5 | -0.2 pts |
| 13 | Kýpros | 4 | +0.3 pts |
| 14 | Rhône-Alpes | 3.7 | -0.1 pts |
| 15 | Hovedstaden | 3.6 | -0.2 pts |
| 16 | Bratislavský kraj | 3.5 | 0 pts |
| 17 | Guadeloupe | 3.4 | +0.2 pts |
| 17 | Utrecht | 3.4 | -0.3 pts |
| 19 | Luxembourg | 3.2 | 0 pts |
| 20 | Vorarlberg | 3.1 | +0.1 pts |
| 21 | Východné Slovensko | 2.7 | -0.1 pts |
| 22 | Västsverige | 2.4 | +0.2 pts |
| 23 | Helsinki-Uusimaa | 2.3 | -0.4 pts |
| 23 | Praha | 2.3 | -0.1 pts |
| 23 | Region of Murcia | 2.3 | -0.1 pts |
| 23 | Sydsverige | 2.3 | 0 pts |
| 27 | Nord-Pas de Calais | 2.2 | -0.6 pts |
| 28 | Noord-Holland | 2.1 | -0.2 pts |
| 28 | Tirol | 2.1 | -0.3 pts |
| 28 | Zuid-Holland | 2.1 | -0.2 pts |
| 31 | Midtjylland | 2 | -0.3 pts |
| 32 | Alsace | 1.9 | -0.4 pts |
| 33 | Balearic Islands | 1.8 | +0.1 pts |
| 33 | Pomorskie | 1.8 | -0.7 pts |
| 33 | Salzburg | 1.8 | -0.3 pts |
| 36 | Community of Madrid | 1.7 | -0.4 pts |
| 36 | Notio Aigaio | 1.7 | +0.3 pts |
| 36 | Östra Mellansverige | 1.7 | -0.1 pts |
| 36 | Provincia Autonoma di Bolzano/Bozen | 1.7 | -0.1 pts |
| 36 | Wien | 1.7 | -0.5 pts |
| 41 | Hamburg | 1.6 | -0.3 pts |
| 41 | Małopolskie | 1.6 | -0.3 pts |
| 41 | Malta | 1.6 | 0 pts |
| 41 | Oberbayern | 1.6 | +0.2 pts |
| 45 | Haute-Normandie | 1.5 | -0.3 pts |
| 46 | Picardie | 1.4 | -0.5 pts |
| 47 | Pays de la Loire | 1.3 | -0.2 pts |
| 47 | Prov. Antwerpen | 1.3 | -0.2 pts |
| 47 | Warszawski stołeczny | 1.3 | -0.4 pts |
| 50 | Berlin | 1.2 | -0.4 pts |
| 51 | Provence-Alpes-Côte d’Azur | 1.1 | -0.1 pts |
| 51 | Wielkopolskie | 1.1 | -1 pts |
| 53 | Martinique | 1 | -0.1 pts |
| 53 | Oberösterreich | 1 | -0.2 pts |
| 55 | Grande Lisboa | 0.9 | -0.3 pts |
| 55 | Podkarpackie | 0.9 | -0.3 pts |
| 55 | Småland med öarna | 0.9 | +0.2 pts |
| 58 | Střední Čechy | 0.8 | -0.7 pts |
| 58 | Zahodna Slovenija | 0.8 | -0.2 pts |
| 60 | Jihovýchod | 0.7 | -0.1 pts |
| 61 | Overijssel | 0.6 | -0.3 pts |
| 61 | Prov. Luxembourg (BE) | 0.6 | -0.5 pts |
| 63 | Franche-Comté | 0.4 | -0.5 pts |
| 63 | Kriti | 0.4 | +0.6 pts |
| 65 | Åland | 0.3 | -1.2 pts |
| 65 | Darmstadt | 0.3 | 0 pts |
| 65 | Prov. Brabant wallon | 0.3 | -0.2 pts |
| 65 | Prov. Vlaams-Brabant | 0.3 | -0.5 pts |
| 65 | Stuttgart | 0.3 | 0 pts |
| 70 | Bucureşti-Ilfov | 0.2 | -0.4 pts |
| 70 | Gelderland | 0.2 | -0.2 pts |
| 70 | Prov. Oost-Vlaanderen | 0.2 | 0 pts |
| 70 | Tübingen | 0.2 | -0.1 pts |
| 74 | Noord-Brabant | 0.1 | -0.2 pts |
| 75 | Midi-Pyrénées | 0 | 0 pts |
| 75 | Prov. Limburg (BE) | 0 | -0.6 pts |
| 77 | Jihozápad | -0.1 | -0.1 pts |
| 77 | Stredné Slovensko | -0.1 | 0 pts |
| 79 | Andalusia | -0.2 | -0.6 pts |
| 79 | Região Autónoma dos Açores | -0.2 | -0.1 pts |
| 79 | Severovýchod | -0.2 | -0.2 pts |
| 82 | Centre - Val de Loire | -0.3 | -0.1 pts |
| 82 | Champagne-Ardenne | -0.3 | 0 pts |
| 82 | Norra Mellansverige | -0.3 | +0.3 pts |
| 85 | Catalonia | -0.4 | -0.5 pts |
| 85 | Freiburg | -0.4 | 0 pts |
| 85 | Prov. Liège | -0.4 | -0.3 pts |
| 85 | Prov. Namur | -0.4 | +0.2 pts |
| 85 | Střední Morava | -0.4 | +0.1 pts |
| 90 | Languedoc-Roussillon | -0.5 | -0.3 pts |
| 90 | Lorraine | -0.5 | -0.5 pts |
| 90 | Schwaben | -0.5 | -0.2 pts |
| 93 | Navarre | -0.6 | -0.4 pts |
| 93 | Övre Norrland | -0.6 | -0.4 pts |
| 93 | Syddanmark | -0.6 | -0.5 pts |
| 96 | Canary Islands | -0.7 | -0.9 pts |
| 96 | Nordjylland | -0.7 | -0.9 pts |
| 98 | Aquitaine | -0.8 | 0 pts |
| 98 | Corse | -0.8 | -0.1 pts |
| 98 | Mellersta Norrland | -0.8 | +0.5 pts |
| 98 | Sostinės regionas | -0.8 | -0.3 pts |
| 102 | Mazowiecki regionalny | -0.9 | -0.7 pts |
| 102 | Warmińsko-mazurskie | -0.9 | -1 pts |
| 104 | Campania | -1 | +0.1 pts |
| 104 | Eesti | -1 | +0.3 pts |
| 104 | Friesland (NL) | -1 | -0.5 pts |
| 104 | Karlsruhe | -1 | 0 pts |
| 104 | Köln | -1 | -0.2 pts |
| 104 | Moravskoslezsko | -1 | +0.2 pts |
| 104 | Podlaskie | -1 | -0.6 pts |
| 111 | Bretagne | -1.1 | -0.3 pts |
| 111 | Mittelfranken | -1.1 | +0.1 pts |
| 113 | Groningen | -1.2 | -0.2 pts |
| 113 | Península de Setúbal | -1.2 | -0.2 pts |
| 113 | Provincia Autonoma di Trento | -1.2 | -0.2 pts |
| 113 | Steiermark | -1.2 | 0 pts |
| 117 | Bremen | -1.3 | 0 pts |
| 117 | Kujawsko-pomorskie | -1.3 | -1.1 pts |
| 117 | Prov. Hainaut | -1.3 | -0.5 pts |
| 120 | Lubuskie | -1.5 | -1.5 pts |
| 120 | Valencian Community | -1.5 | -0.6 pts |
| 122 | Münster | -1.6 | 0 pts |
| 122 | Niederösterreich | -1.6 | -0.4 pts |
| 122 | Vzhodna Slovenija | -1.6 | -0.5 pts |
| 125 | Centru | -1.7 | -0.7 pts |
| 125 | Lubelskie | -1.7 | -0.5 pts |
| 125 | Pest | -1.7 | +0.2 pts |
| 125 | Prov. West-Vlaanderen | -1.7 | +0.2 pts |
| 125 | Západné Slovensko | -1.7 | -0.2 pts |
| 125 | Zeeland | -1.7 | -0.4 pts |
| 131 | Castilla-La Mancha | -1.8 | -0.2 pts |
| 131 | Detmold | -1.8 | -0.3 pts |
| 131 | Dolnośląskie | -1.8 | -0.5 pts |
| 131 | Nord-Vest | -1.8 | -0.4 pts |
| 131 | Oberpfalz | -1.8 | 0 pts |
| 131 | Severozápad | -1.8 | -0.6 pts |
| 131 | Weser-Ems | -1.8 | -0.6 pts |
| 138 | Niederbayern | -1.9 | +0.1 pts |
| 138 | Rheinhessen-Pfalz | -1.9 | -0.2 pts |
| 138 | Zachodniopomorskie | -1.9 | -1 pts |
| 141 | Basse-Normandie | -2 | -0.4 pts |
| 141 | Länsi-Suomi | -2 | -0.6 pts |
| 143 | Algarve | -2.1 | +0.2 pts |
| 143 | Norte | -2.1 | -0.2 pts |
| 143 | Śląskie | -2.1 | -0.7 pts |
| 146 | Attiki | -2.2 | +0.1 pts |
| 146 | Auvergne | -2.2 | +0.3 pts |
| 146 | Opolskie | -2.2 | -0.3 pts |
| 149 | Bourgogne | -2.3 | 0 pts |
| 149 | Nord-Est | -2.3 | -1.1 pts |
| 149 | Sicilia | -2.3 | +0.3 pts |
| 149 | Sjælland | -2.3 | -0.1 pts |
| 149 | Unterfranken | -2.3 | -0.3 pts |
| 154 | Calabria | -2.4 | +0.3 pts |
| 154 | Gießen | -2.4 | +0.1 pts |
| 154 | Lombardia | -2.4 | -0.4 pts |
| 157 | Leipzig | -2.5 | -0.3 pts |
| 157 | Puglia | -2.5 | +0.1 pts |
| 157 | Voreio Aigaio | -2.5 | +1.1 pts |
| 160 | Basque Country | -2.6 | -0.5 pts |
| 160 | Düsseldorf | -2.6 | -0.4 pts |
| 160 | Lazio | -2.6 | +0.1 pts |
| 163 | Drenthe | -2.7 | -0.6 pts |
| 163 | Kärnten | -2.7 | -0.6 pts |
| 165 | La Rioja | -2.8 | -1.3 pts |
| 165 | Pohjois- ja Itä-Suomi | -2.8 | -0.8 pts |
| 165 | Veneto | -2.8 | -0.2 pts |
| 168 | Észak-Alföld | -2.9 | -0.5 pts |
| 168 | Limburg (NL) | -2.9 | -0.2 pts |
| 168 | Poitou-Charentes | -2.9 | -0.3 pts |
| 168 | Trier | -2.9 | -0.7 pts |
| 172 | Aragon | -3.1 | -0.3 pts |
| 172 | Hannover | -3.1 | -0.1 pts |
| 174 | Região Autónoma da Madeira | -3.2 | -1 pts |
| 174 | Świętokrzyskie | -3.2 | -0.4 pts |
| 174 | Vest | -3.2 | +0.3 pts |
| 177 | Lüneburg | -3.3 | -0.3 pts |
| 178 | Arnsberg | -3.4 | -0.5 pts |
| 178 | Budapest | -3.4 | -0.1 pts |
| 178 | Extremadura | -3.4 | -0.5 pts |
| 181 | Koblenz | -3.5 | 0 pts |
| 181 | Łódzkie | -3.5 | -0.5 pts |
| 183 | Braunschweig | -3.7 | 0 pts |
| 183 | Burgenland | -3.7 | +0.2 pts |
| 183 | Jadranska Hrvatska | -3.7 | +0.6 pts |
| 183 | Schleswig-Holstein | -3.7 | -0.4 pts |
| 187 | Ionia Nisia | -3.8 | +0.8 pts |
| 188 | Cantabria | -3.9 | -0.7 pts |
| 188 | Dytiki Elláda | -3.9 | 0 pts |
| 188 | Emilia-Romagna | -3.9 | +0.2 pts |
| 188 | Etelä-Suomi | -3.9 | -0.9 pts |
| 188 | Kassel | -3.9 | -0.7 pts |
| 188 | Kentriki Makedonia | -3.9 | -0.1 pts |
| 194 | Dresden | -4.1 | -0.6 pts |
| 194 | Oberfranken | -4.1 | 0 pts |
| 196 | Nyugat-Dunántúl | -4.2 | +0.1 pts |
| 196 | Sardegna | -4.2 | -0.1 pts |
| 198 | Abruzzo | -4.4 | +0.2 pts |
| 199 | Basilicata | -4.5 | -0.1 pts |
| 199 | Észak-Magyarország | -4.5 | -0.1 pts |
| 199 | Limousin | -4.5 | -0.2 pts |
| 199 | Thessalia | -4.5 | +0.3 pts |
| 199 | Yugozapaden | -4.5 | -0.3 pts |
| 204 | Közép-Dunántúl | -4.6 | -0.3 pts |
| 204 | Marche | -4.6 | +0.5 pts |
| 204 | Valle d’Aosta/Vallée d’Aoste | -4.6 | -0.3 pts |
| 207 | Latvija | -4.9 | -0.8 pts |
| 207 | Umbria | -4.9 | +0.4 pts |
| 209 | Toscana | -5 | 0 pts |
| 210 | Brandenburg | -5.1 | -0.5 pts |
| 210 | Sud-Est | -5.1 | -0.8 pts |
| 212 | Anatoliki Makedonia, Thraki | -5.2 | +0.1 pts |
| 213 | Dél-Alföld | -5.3 | +0.2 pts |
| 213 | Sud-Vest Oltenia | -5.3 | 0 pts |
| 215 | Dytiki Makedonia | -5.4 | -0.2 pts |
| 215 | Ipeiros | -5.4 | -0.1 pts |
| 215 | Sterea Elláda | -5.4 | 0 pts |
| 218 | Friuli-Venezia Giulia | -5.5 | -0.2 pts |
| 218 | Mecklenburg-Vorpommern | -5.5 | -0.7 pts |
| 220 | Centro (PT) | -5.6 | -0.2 pts |
| 220 | Dél-Dunántúl | -5.6 | +0.1 pts |
| 220 | Oeste e Vale do Tejo | -5.6 | -0.2 pts |
| 223 | Peloponnisos | -5.7 | +0.3 pts |
| 223 | Piemonte | -5.7 | -0.5 pts |
| 225 | Saarland | -5.8 | -0.8 pts |
| 225 | Sud-Muntenia | -5.8 | -0.4 pts |
| 225 | Thüringen | -5.8 | -0.6 pts |
| 228 | Castile and León | -5.9 | -0.3 pts |
| 228 | Galicia | -5.9 | -0.9 pts |
| 228 | Molise | -5.9 | -0.3 pts |
| 228 | Yugoiztochen | -5.9 | -0.3 pts |
| 232 | Vidurio ir vakarų Lietuvos regionas | -6 | -0.2 pts |
| 233 | Yuzhen tsentralen | -6.3 | +0.2 pts |
| 234 | Severoiztochen | -6.7 | -0.4 pts |
| 235 | Asturias | -7.3 | -0.4 pts |
| 235 | Sachsen-Anhalt | -7.3 | -0.6 pts |
| 237 | Chemnitz | -7.8 | -0.9 pts |
| 238 | Alentejo | -7.9 | -0.3 pts |
| 239 | Liguria | -8.6 | -0.5 pts |
| 240 | Severen tsentralen | -10.8 | -0.5 pts |
| 241 | Severozapaden | -12.6 | +0.1 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 2018 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, 2018) [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, 2018. 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=2018. 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, 2018. 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=2018.
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, 2018 [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=2018 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2018,
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, 2018}},
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=2018. 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, 2018
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=2018
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/natural-change-rate/eu-regions?period=2018.
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=10Questions
Which region has the highest natural change rate?
Mayotte, with 33.4 per 1,000 inhabitants in 2018, according to Eurostat, European Commission.
Which region has the lowest natural change rate?
Severozapaden, with -12.6 per 1,000 inhabitants in 2018.
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 2018 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