EU regions (NUTS 2) by natural population change
Ile-de-France had the highest natural population change of 241 regions in 2019, at 98,105. Lombardia had the lowest, at -26,866. The median was -1,692 and the figure for the European Union (27) was -486,847. Source: Eurostat, European Commission.
Top 40 regions, 2019
Full ranking
| Rank | Regions | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Ile-de-France | 98,105 | -0.8% |
| 2 | Rhône-Alpes | 22,808 | -7.8% |
| 3 | Eastern and Midland | 16,909 | -2.4% |
| 4 | Stockholm | 13,041 | +4.2% |
| 5 | Nord-Pas de Calais | 9,495 | +7.7% |
| 6 | Mayotte | 8,991 | +1.8% |
| 7 | Community of Madrid | 8,576 | -21.7% |
| 8 | Zuid-Holland | 8,419 | +8.9% |
| 9 | La Réunion | 8,107 | -2.9% |
| 10 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 8,002 | -5.9% |
| 11 | Southern | 7,349 | -11% |
| 12 | Hovedstaden | 7,212 | +8.4% |
| 13 | Guyane | 7,084 | -0.2% |
| 14 | Noord-Holland | 6,168 | +5.8% |
| 15 | Oberbayern | 6,035 | -17.2% |
| 16 | Västsverige | 5,177 | +6.8% |
| 17 | Provence-Alpes-Côte d’Azur | 4,807 | -16.4% |
| 18 | Berlin | 4,764 | +10.7% |
| 19 | Utrecht | 4,759 | +4.9% |
| 20 | Warszawski stołeczny | 4,304 | +12.8% |
| 21 | Východné Slovensko | 4,293 | -0.5% |
| 22 | Northern and Western | 4,072 | -5.3% |
| 23 | Pays de la Loire | 4,055 | -17.9% |
| 24 | Małopolskie | 3,965 | -26.5% |
| 25 | Sydsverige | 3,857 | +12.8% |
| 26 | Wien | 3,785 | +20.1% |
| 27 | Pomorskie | 3,591 | -12.5% |
| 28 | Östra Mellansverige | 3,481 | +18.6% |
| 29 | Hamburg | 3,466 | +17.2% |
| 30 | Helsinki-Uusimaa | 3,372 | -13.7% |
| 31 | Alsace | 3,324 | -6.9% |
| 32 | Kýpros | 3,309 | -7.1% |
| 33 | Wielkopolskie | 3,206 | -12.3% |
| 34 | Prov. Antwerpen | 2,824 | +12.9% |
| 35 | Midtjylland | 2,776 | +5.8% |
| 36 | Praha | 2,755 | -9.5% |
| 37 | Region of Murcia | 2,696 | -19.5% |
| 38 | Flevoland | 2,423 | +5% |
| 39 | Grande Lisboa | 2,234 | +16.1% |
| 40 | Haute-Normandie | 2,205 | -19.3% |
| 41 | Bratislavský kraj | 2,108 | -7.9% |
| 42 | Picardie | 2,041 | -22.5% |
| 43 | Luxembourg | 1,947 | -0.5% |
| 44 | Balearic Islands | 1,686 | -18.9% |
| 45 | Guadeloupe | 1,523 | +6% |
| 46 | Oberösterreich | 1,415 | -7.6% |
| 47 | Střední Čechy | 1,365 | +25.3% |
| 48 | Tirol | 1,285 | -17.6% |
| 49 | Vorarlberg | 1,257 | +2.9% |
| 50 | Småland med öarna | 1,183 | +46.8% |
| 51 | Stuttgart | 1,114 | +7.1% |
| 52 | Salzburg | 1,049 | +7.7% |
| 53 | Jihovýchod | 999 | -17.1% |
| 54 | Prov. Vlaams-Brabant | 801 | +104.9% |
| 55 | Provincia Autonoma di Bolzano/Bozen | 780 | -12.1% |
| 56 | Overijssel | 747 | +11.8% |
| 57 | Melilla | 745 | -9.6% |
| 58 | Malta | 662 | -12.4% |
| 59 | Bucureşti-Ilfov | 633 | +40% |
| 60 | Podkarpackie | 584 | -69.2% |
| 61 | Noord-Brabant | 573 | +67.5% |
| 62 | Prov. Luxembourg (BE) | 537 | +200% |
| 63 | Notio Aigaio | 451 | -21.3% |
| 64 | Darmstadt | 417 | -62.5% |
| 65 | Zahodna Slovenija | 387 | -52.1% |
| 66 | Gelderland | 347 | +5.2% |
| 67 | Ceuta | 304 | -30.4% |
| 68 | Tübingen | 298 | -21.6% |
| 69 | Franche-Comté | 262 | -49.4% |
| 70 | Prov. Brabant wallon | 256 | +108.1% |
| 71 | Martinique | 190 | -49.7% |
| 72 | Prov. Liège | 124 | +131.3% |
| 73 | Prov. Limburg (BE) | 26 | +252.9% |
| 74 | Åland | 1 | -87.5% |
| 75 | Övre Norrland | -71 | +76.2% |
| 76 | Região Autónoma dos Açores | -140 | -233.3% |
| 77 | Kriti | -153 | -159.3% |
| 78 | Prov. Oost-Vlaanderen | -161 | -164.1% |
| 79 | Navarre | -197 | +53.2% |
| 80 | Severovýchod | -231 | +29.8% |
| 81 | Nordjylland | -234 | +39.7% |
| 82 | Champagne-Ardenne | -275 | +27.1% |
| 82 | Prov. Namur | -275 | -23.3% |
| 84 | Friesland (NL) | -299 | +53.8% |
| 85 | Corse | -365 | -28.1% |
| 85 | Mellersta Norrland | -365 | -27.6% |
| 87 | Stredné Slovensko | -370 | -141.8% |
| 88 | Groningen | -458 | +36.1% |
| 89 | Voreio Aigaio | -491 | -2.1% |
| 90 | Zeeland | -512 | +23% |
| 91 | Norra Mellansverige | -546 | -85.1% |
| 92 | Jihozápad | -549 | -286.6% |
| 93 | Valle d’Aosta/Vallée d’Aoste | -551 | +3.8% |
| 94 | Bremen | -555 | +38.7% |
| 95 | Syddanmark | -581 | +18.2% |
| 96 | Schwaben | -679 | +21.4% |
| 97 | Midi-Pyrénées | -692 | -677.5% |
| 98 | Algarve | -714 | +26.8% |
| 99 | La Rioja | -739 | +15.5% |
| 100 | Região Autónoma da Madeira | -788 | +2.8% |
| 101 | Provincia Autonoma di Trento | -835 | -26.3% |
| 102 | Península de Setúbal | -877 | +5.4% |
| 103 | Ionia Nisia | -942 | -18.8% |
| 104 | Freiburg | -998 | -12.8% |
| 105 | Drenthe | -1,033 | +23.4% |
| 106 | Střední Morava | -1,072 | -109% |
| 107 | Andalusia | -1,108 | +37.6% |
| 108 | Podlaskie | -1,159 | +1.7% |
| 109 | Burgenland | -1,161 | -6.8% |
| 110 | Sostinės regionas | -1,246 | -94.7% |
| 111 | Centre - Val de Loire | -1,248 | -62.5% |
| 112 | Trier | -1,265 | +16.9% |
| 113 | Prov. Hainaut | -1,298 | +23.1% |
| 114 | Eesti | -1,302 | +5.9% |
| 115 | Oberpfalz | -1,339 | +31.1% |
| 116 | Languedoc-Roussillon | -1,348 | +6.1% |
| 117 | Lorraine | -1,529 | -21.3% |
| 118 | Kärnten | -1,546 | -3.5% |
| 119 | Canary Islands | -1,619 | -5.5% |
| 120 | Vzhodna Slovenija | -1,647 | +3.6% |
| 121 | Severozápad | -1,692 | +14.3% |
| 122 | Moravskoslezsko | -1,706 | -35.2% |
| 123 | Dytiki Makedonia | -1,708 | -19.5% |
| 124 | Steiermark | -1,721 | -11.2% |
| 125 | Molise | -1,736 | +4% |
| 126 | Pest | -1,770 | +18.8% |
| 127 | Prov. West-Vlaanderen | -1,924 | +4% |
| 128 | Ipeiros | -1,936 | -10.3% |
| 129 | Sjælland | -1,964 | -1.6% |
| 130 | Warmińsko-mazurskie | -1,983 | -54.2% |
| 131 | Niederbayern | -1,997 | +13.5% |
| 132 | Lubuskie | -2,034 | -34.3% |
| 133 | Mittelfranken | -2,092 | -5.7% |
| 134 | Opolskie | -2,201 | -4.3% |
| 135 | Západné Slovensko | -2,211 | +28.7% |
| 136 | Unterfranken | -2,245 | +24.6% |
| 137 | Mazowiecki regionalny | -2,395 | -16.5% |
| 138 | Cantabria | -2,466 | -7.6% |
| 139 | Leipzig | -2,497 | +5.5% |
| 140 | Kujawsko-pomorskie | -2,754 | +0.3% |
| 141 | Gießen | -2,765 | -11.8% |
| 142 | Niederösterreich | -2,797 | -1.7% |
| 143 | Basilicata | -2,836 | -11.9% |
| 144 | Länsi-Suomi | -2,967 | -6.8% |
| 145 | Aquitaine | -2,987 | -4% |
| 146 | Catalonia | -2,999 | -0.1% |
| 147 | Dytiki Elláda | -3,009 | -17.4% |
| 148 | Karlsruhe | -3,011 | -9.5% |
| 149 | Detmold | -3,018 | +17.4% |
| 150 | Basse-Normandie | -3,146 | -9% |
| 151 | Weser-Ems | -3,260 | +26.7% |
| 152 | Limburg (NL) | -3,339 | -4.1% |
| 153 | Anatoliki Makedonia, Thraki | -3,396 | -13.1% |
| 154 | Limousin | -3,444 | -5.8% |
| 155 | Sterea Elláda | -3,529 | -25.4% |
| 156 | Auvergne | -3,552 | -18.6% |
| 157 | Extremadura | -3,611 | +0.5% |
| 158 | Peloponnisos | -3,618 | -13.1% |
| 159 | Lubelskie | -3,729 | -4.1% |
| 160 | Nyugat-Dunántúl | -3,761 | +6.9% |
| 161 | Oberfranken | -3,769 | +14.4% |
| 162 | Alentejo | -3,791 | -1.4% |
| 163 | Zachodniopomorskie | -3,856 | -21.7% |
| 164 | Bretagne | -3,879 | -1.2% |
| 165 | Thessalia | -3,894 | -21.8% |
| 166 | Pohjois- ja Itä-Suomi | -3,965 | -10.6% |
| 167 | Észak-Alföld | -3,971 | +5.7% |
| 168 | Aragon | -3,976 | +3.6% |
| 169 | Centru | -4,146 | -2.4% |
| 170 | Castilla-La Mancha | -4,151 | -11.3% |
| 171 | Oeste e Vale do Tejo | -4,168 | +7.7% |
| 172 | Nord-Vest | -4,220 | +10.8% |
| 173 | Rheinhessen-Pfalz | -4,244 | -9.8% |
| 174 | Kassel | -4,259 | +11.2% |
| 175 | Świętokrzyskie | -4,274 | -9.6% |
| 176 | Bourgogne | -4,338 | -15.1% |
| 177 | Münster | -4,381 | -2.6% |
| 178 | Közép-Dunántúl | -4,614 | +5.1% |
| 179 | Umbria | -4,686 | -9.3% |
| 180 | Köln | -4,735 | -5% |
| 181 | Etelä-Suomi | -4,777 | -6.2% |
| 182 | Koblenz | -4,937 | +6.2% |
| 183 | Jadranska Hrvatska | -5,005 | -1.8% |
| 184 | Dél-Dunántúl | -5,013 | -1% |
| 185 | Észak-Magyarország | -5,146 | -1.9% |
| 186 | Poitou-Charentes | -5,231 | +0.3% |
| 187 | Nord-Est | -5,406 | +28.1% |
| 188 | Lüneburg | -5,434 | +2.3% |
| 189 | Severoiztochen | -5,526 | +3.6% |
| 190 | Saarland | -5,549 | +3% |
| 191 | Calabria | -5,671 | -23.8% |
| 192 | Budapest | -5,707 | +1.2% |
| 193 | Braunschweig | -5,709 | +3.7% |
| 194 | Dolnośląskie | -5,797 | -11.5% |
| 195 | Yugoiztochen | -5,882 | -1.1% |
| 196 | Abruzzo | -6,112 | -6.4% |
| 197 | Basque Country | -6,117 | -8% |
| 198 | Vest | -6,249 | -9% |
| 199 | Hannover | -6,567 | +0.1% |
| 200 | Valencian Community | -6,692 | +8.5% |
| 201 | Dél-Alföld | -6,754 | -3.1% |
| 202 | Dresden | -6,811 | -3.9% |
| 203 | Friuli-Venezia Giulia | -6,823 | -2.6% |
| 204 | Campania | -7,129 | -25.6% |
| 205 | Norte | -7,688 | +0.3% |
| 206 | Asturias | -7,741 | -3.1% |
| 207 | Marche | -7,775 | -11% |
| 208 | Severen tsentralen | -7,951 | +0.2% |
| 209 | Sardegna | -8,145 | -19.1% |
| 210 | Kentriki Makedonia | -8,318 | -16.8% |
| 211 | Yuzhen tsentralen | -8,813 | -4.2% |
| 212 | Latvija | -8,933 | +6% |
| 213 | Łódzkie | -8,965 | -4.6% |
| 214 | Yugozapaden | -9,069 | +1.1% |
| 215 | Mecklenburg-Vorpommern | -9,072 | -1.7% |
| 216 | Severozapaden | -9,304 | -1.3% |
| 217 | Centro (PT) | -9,332 | -1.1% |
| 218 | Schleswig-Holstein | -10,307 | +3.5% |
| 219 | Attiki | -10,659 | -27.9% |
| 220 | Sud-Vest Oltenia | -10,795 | -5.6% |
| 221 | Chemnitz | -11,147 | +0.5% |
| 222 | Śląskie | -11,258 | -17.7% |
| 223 | Arnsberg | -11,315 | +7.1% |
| 224 | Puglia | -11,554 | -16.6% |
| 225 | Vidurio ir vakarų Lietuvos regionas | -12,062 | +0.7% |
| 226 | Thüringen | -12,549 | -1.3% |
| 227 | Liguria | -12,607 | +4.5% |
| 228 | Düsseldorf | -12,639 | +5.5% |
| 229 | Sud-Est | -12,678 | -2.5% |
| 230 | Brandenburg | -12,698 | +0.8% |
| 231 | Sicilia | -13,789 | -21.7% |
| 232 | Castile and León | -14,396 | -1% |
| 233 | Veneto | -15,344 | -11.6% |
| 234 | Galicia | -15,550 | +1.9% |
| 235 | Sachsen-Anhalt | -15,681 | +2.5% |
| 236 | Sud-Muntenia | -17,308 | -1.9% |
| 237 | Lazio | -17,911 | -18.3% |
| 238 | Emilia-Romagna | -19,352 | -11.1% |
| 239 | Toscana | -20,226 | -8.9% |
| 240 | Piemonte | -25,165 | -1.6% |
| 241 | Lombardia | -26,866 | -12.7% |
Other periods
About this ranking
Live births minus deaths during the year. A negative value means more deaths than births (Eurostat).
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 2019 and are left out rather than filled from another source. Equal values share a rank.
How to cite
Eurostat. Population change, 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, natural change of population, by NUTS 2 and 3 region (demo_r_gind3) (EU regions (NUTS 2) by natural population change, 2019) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table
MLA 9
Population change, natural change of population, by NUTS 2 and 3 region (demo_r_gind3), EU regions (NUTS 2) by natural population change, 2019. Eurostat, European Commission, 21 July 2026, https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table. Invokely, https://invokely.ai/rankings/natural-population-change/eu-regions?period=2019. Accessed 12 Oct. 2026.
Chicago (author-date)
Eurostat, European Commission. 2026. Population change, natural change of population, by NUTS 2 and 3 region (demo_r_gind3). EU regions (NUTS 2) by natural population change, 2019. 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-population-change/eu-regions?period=2019.
Harvard
Eurostat, European Commission (2026) Population change, natural change of population, by NUTS 2 and 3 region (demo_r_gind3), EU regions (NUTS 2) by natural population change, 2019 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/demo_r_gind3/default/table, via Invokely: https://invokely.ai/rankings/natural-population-change/eu-regions?period=2019 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2019,
author = {{Eurostat, European Commission}},
title = {{Population change, natural change of population, by NUTS 2 and 3 region (demo\_r\_gind3): EU regions (NUTS 2) by natural population change, 2019}},
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-population-change/eu-regions?period=2019. Publisher attribution: Eurostat. Population change, 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, natural change of population, by NUTS 2 and 3 region (demo_r_gind3): EU regions (NUTS 2) by natural population change, 2019
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-population-change/eu-regions?period=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/natural-population-change/eu-regions?period=2019.
N1 - Publisher attribution: Eurostat. Population change, 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 population change using official data, and cite the source.
rank_places {"indicator":"natural_change","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=natural_change&level=region&within=European%20Union%20(27)&limit=10
Questions
Which region has the highest natural population change?
Ile-de-France, with 98,105 in 2019, according to Eurostat, European Commission.
Which region has the lowest natural population change?
Lombardia, with -26,866 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 change, natural change of population, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12. 3 regions have no value for 2019 and are not ranked.
Natural population change: other rankings
- Regions of Austria (NUTS 2)
- Regions of Hungary (NUTS 2)
- Regions of Romania (NUTS 2)
- NUTS 3 areas of Czechia
- NUTS 3 areas of Slovakia
- NUTS 3 areas of Lithuania