EU regions (NUTS 2) by natural population change
Ile-de-France had the highest natural population change of 244 regions in 2020, at 77,900. Lombardia had the lowest, at -66,360. The median was -3,319 and the figure for the European Union (27) was -1.12 million. Source: Eurostat, European Commission.
Top 40 regions, 2020
Full ranking
| Rank | Regions | 2020 | Change on 2019 |
|---|---|---|---|
| 1 | Ile-de-France | 77,900 | -20.6% |
| 2 | Eastern and Midland | 13,626 | -19.4% |
| 3 | Rhône-Alpes | 11,447 | -49.8% |
| 4 | Stockholm | 10,037 | -23% |
| 5 | Mayotte | 8,217 | -8.6% |
| 6 | La Réunion | 7,988 | -1.5% |
| 7 | Guyane | 7,002 | -1.2% |
| 8 | Southern | 6,594 | -10.3% |
| 9 | Hovedstaden | 6,556 | -9.1% |
| 10 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 4,918 | -38.5% |
| 11 | Nord-Pas de Calais | 4,322 | -54.5% |
| 12 | Zuid-Holland | 3,864 | -54.1% |
| 13 | Västsverige | 3,659 | -29.3% |
| 14 | Utrecht | 3,597 | -24.4% |
| 15 | Noord-Holland | 3,550 | -42.4% |
| 16 | Kýpros | 3,508 | +6% |
| 17 | Northern and Western | 3,352 | -17.7% |
| 18 | Helsinki-Uusimaa | 3,155 | -6.4% |
| 19 | Oberbayern | 2,985 | -50.5% |
| 20 | Midtjylland | 2,951 | +6.3% |
| 21 | Východné Slovensko | 2,546 | -40.7% |
| 22 | Sydsverige | 2,466 | -36.1% |
| 23 | Pays de la Loire | 2,167 | -46.6% |
| 24 | Flevoland | 2,131 | -12.1% |
| 25 | Hamburg | 2,123 | -38.7% |
| 26 | Luxembourg | 1,850 | -5% |
| 27 | Bratislavský kraj | 1,785 | -15.3% |
| 28 | Östra Mellansverige | 1,477 | -57.6% |
| 29 | Region of Murcia | 1,314 | -51.3% |
| 30 | Guadeloupe | 1,271 | -16.5% |
| 31 | Wien | 1,255 | -66.8% |
| 32 | Praha | 1,092 | -60.4% |
| 33 | Berlin | 1,051 | -77.9% |
| 34 | Balearic Islands | 896 | -46.9% |
| 35 | Vorarlberg | 813 | -35.3% |
| 36 | Tirol | 730 | -43.2% |
| 37 | Salzburg | 562 | -46.4% |
| 38 | Notio Aigaio | 451 | 0% |
| 39 | Melilla | 360 | -51.7% |
| 40 | Malta | 323 | -51.2% |
| 41 | Småland med öarna | 244 | -79.4% |
| 42 | Haute-Normandie | 234 | -89.4% |
| 43 | Ceuta | 195 | -35.9% |
| 44 | Alsace | 97 | -97.1% |
| 45 | Åland | -30 | -3,100% |
| 46 | Martinique | -55 | -128.9% |
| 47 | Prov. Luxembourg (BE) | -72 | -113.4% |
| 48 | Voreio Aigaio | -113 | +77% |
| 49 | Oberösterreich | -131 | -109.3% |
| 50 | Kriti | -165 | -7.8% |
| 51 | Provincia Autonoma di Bolzano/Bozen | -256 | -132.8% |
| 52 | Nordjylland | -303 | -29.5% |
| 53 | Prov. Antwerpen | -332 | -111.8% |
| 54 | Região Autónoma dos Açores | -336 | -140% |
| 55 | Tübingen | -338 | -213.4% |
| 56 | Övre Norrland | -368 | -418.3% |
| 57 | Prov. Vlaams-Brabant | -393 | -149.1% |
| 58 | Picardie | -394 | -119.3% |
| 59 | Overijssel | -463 | -162% |
| 60 | Prov. Brabant wallon | -494 | -293% |
| 61 | Friesland (NL) | -612 | -104.7% |
| 62 | Corse | -711 | -94.8% |
| 63 | Zeeland | -715 | -39.6% |
| 64 | Provence-Alpes-Côte d’Azur | -728 | -115.1% |
| 65 | Groningen | -760 | -65.9% |
| 66 | Syddanmark | -795 | -36.8% |
| 67 | Região Autónoma da Madeira | -853 | -8.2% |
| 68 | Střední Čechy | -865 | -163.4% |
| 69 | Zahodna Slovenija | -914 | -336.2% |
| 70 | Ionia Nisia | -930 | +1.3% |
| 71 | Prov. Namur | -1,038 | -277.5% |
| 71 | Valle d’Aosta/Vallée d’Aoste | -1,038 | -88.4% |
| 73 | Stuttgart | -1,044 | -193.7% |
| 74 | Gelderland | -1,058 | -404.9% |
| 75 | Mellersta Norrland | -1,060 | -190.4% |
| 76 | Algarve | -1,079 | -51.1% |
| 77 | Pomorskie | -1,168 | -132.5% |
| 78 | Grande Lisboa | -1,179 | -152.8% |
| 79 | Bremen | -1,183 | -113.2% |
| 80 | Prov. Limburg (BE) | -1,254 | -4,923.1% |
| 81 | La Rioja | -1,382 | -87% |
| 82 | Drenthe | -1,416 | -37.1% |
| 83 | Burgenland | -1,428 | -23% |
| 84 | Norra Mellansverige | -1,502 | -175.1% |
| 85 | Trier | -1,518 | -20% |
| 86 | Stredné Slovensko | -1,613 | -335.9% |
| 87 | Navarre | -1,626 | -725.4% |
| 88 | Schwaben | -1,632 | -140.4% |
| 89 | Franche-Comté | -1,776 | -777.9% |
| 90 | Midi-Pyrénées | -1,826 | -163.9% |
| 91 | Península de Setúbal | -1,837 | -109.5% |
| 92 | Warszawski stołeczny | -1,858 | -143.2% |
| 93 | Prov. Oost-Vlaanderen | -1,928 | -1,097.5% |
| 94 | Champagne-Ardenne | -1,988 | -622.9% |
| 95 | Dytiki Makedonia | -2,000 | -17.1% |
| 96 | Ipeiros | -2,007 | -3.7% |
| 97 | Grad Zagreb | -2,073 | |
| 98 | Sjælland | -2,117 | -7.8% |
| 99 | Jihovýchod | -2,257 | -325.9% |
| 100 | Kärnten | -2,258 | -46.1% |
| 101 | Oberpfalz | -2,275 | -69.9% |
| 102 | Molise | -2,336 | -34.6% |
| 103 | Freiburg | -2,342 | -134.7% |
| 104 | Jihozápad | -2,438 | -344.1% |
| 105 | Provincia Autonoma di Trento | -2,478 | -196.8% |
| 106 | Darmstadt | -2,589 | -720.9% |
| 107 | Eesti | -2,602 | -99.8% |
| 108 | Pest | -2,627 | -48.4% |
| 109 | Sostinės regionas | -2,722 | -118.5% |
| 110 | Severovýchod | -2,792 | -1,108.7% |
| 111 | Unterfranken | -2,829 | -26% |
| 112 | Niederbayern | -2,875 | -44% |
| 113 | Mittelfranken | -3,022 | -44.5% |
| 114 | Dytiki Elláda | -3,029 | -0.7% |
| 115 | Cantabria | -3,060 | -24.1% |
| 116 | Sterea Elláda | -3,099 | +12.2% |
| 117 | Gießen | -3,107 | -12.4% |
| 118 | Noord-Brabant | -3,142 | -648.3% |
| 119 | Basilicata | -3,188 | -12.4% |
| 120 | Leipzig | -3,252 | -30.2% |
| 121 | Centre - Val de Loire | -3,274 | -162.3% |
| 122 | Canary Islands | -3,308 | -104.3% |
| 123 | Länsi-Suomi | -3,330 | -12.2% |
| 124 | Bucureşti-Ilfov | -3,359 | -630.6% |
| 125 | Prov. Liège | -3,379 | -2,825% |
| 126 | Languedoc-Roussillon | -3,381 | -150.8% |
| 127 | Małopolskie | -3,447 | -186.9% |
| 128 | Střední Morava | -3,502 | -226.7% |
| 129 | Steiermark | -3,516 | -104.3% |
| 130 | Peloponnisos | -3,565 | +1.5% |
| 131 | Limousin | -3,587 | -4.2% |
| 132 | Detmold | -3,617 | -19.8% |
| 133 | Basse-Normandie | -3,900 | -24% |
| 134 | Aquitaine | -3,932 | -31.6% |
| 135 | Prov. West-Vlaanderen | -3,964 | -106% |
| 136 | Pohjois- ja Itä-Suomi | -3,979 | -0.4% |
| 137 | Lubuskie | -3,991 | -96.2% |
| 138 | Niederösterreich | -4,023 | -43.8% |
| 139 | Podlaskie | -4,065 | -250.7% |
| 140 | Sjeverna Hrvatska | -4,079 | |
| 141 | Wielkopolskie | -4,128 | -228.8% |
| 142 | Moravskoslezsko | -4,137 | -142.5% |
| 143 | Severozápad | -4,190 | -147.6% |
| 144 | Karlsruhe | -4,258 | -41.4% |
| 145 | Vzhodna Slovenija | -4,335 | -163.2% |
| 146 | Alentejo | -4,347 | -14.7% |
| 147 | Weser-Ems | -4,440 | -36.2% |
| 148 | Anatoliki Makedonia, Thraki | -4,454 | -31.2% |
| 149 | Podkarpackie | -4,565 | -881.7% |
| 150 | Thessalia | -4,578 | -17.6% |
| 151 | Rheinhessen-Pfalz | -4,580 | -7.9% |
| 152 | Prov. Hainaut | -4,610 | -255.2% |
| 153 | Warmińsko-mazurskie | -4,647 | -134.3% |
| 154 | Bretagne | -4,742 | -22.2% |
| 155 | Opolskie | -4,765 | -116.5% |
| 156 | Etelä-Suomi | -4,841 | -1.3% |
| 157 | Oberfranken | -4,955 | -31.5% |
| 158 | Kassel | -4,966 | -16.6% |
| 159 | Limburg (NL) | -4,973 | -48.9% |
| 160 | Oeste e Vale do Tejo | -5,057 | -21.3% |
| 161 | Západné Slovensko | -5,157 | -133.2% |
| 162 | Münster | -5,245 | -19.7% |
| 163 | Észak-Alföld | -5,286 | -33.1% |
| 164 | Auvergne | -5,338 | -50.3% |
| 165 | Nyugat-Dunántúl | -5,380 | -43% |
| 166 | Koblenz | -5,439 | -10.2% |
| 167 | Saarland | -5,629 | -1.4% |
| 168 | Lorraine | -5,653 | -269.7% |
| 169 | Extremadura | -5,719 | -58.4% |
| 170 | Dél-Dunántúl | -5,758 | -14.9% |
| 171 | Umbria | -5,777 | -23.3% |
| 172 | Közép-Dunántúl | -5,864 | -27.1% |
| 173 | Lüneburg | -5,876 | -8.1% |
| 174 | Braunschweig | -5,929 | -3.9% |
| 175 | Poitou-Charentes | -6,201 | -18.5% |
| 176 | Bourgogne | -6,224 | -43.5% |
| 177 | Jadranska Hrvatska | -6,305 | -26% |
| 178 | Észak-Magyarország | -6,418 | -24.7% |
| 179 | Hannover | -6,616 | -0.7% |
| 180 | Köln | -6,700 | -41.5% |
| 181 | Calabria | -7,058 | -24.5% |
| 182 | Zachodniopomorskie | -7,305 | -89.4% |
| 183 | Kujawsko-pomorskie | -7,452 | -170.6% |
| 184 | Aragon | -7,616 | -91.5% |
| 185 | Abruzzo | -7,790 | -27.5% |
| 186 | Świętokrzyskie | -7,821 | -83% |
| 187 | Budapest | -8,012 | -40.4% |
| 188 | Severoiztochen | -8,028 | -45.3% |
| 189 | Dél-Alföld | -8,123 | -20.3% |
| 190 | Yugoiztochen | -8,390 | -42.6% |
| 191 | Panonska Hrvatska | -8,721 | |
| 192 | Mazowiecki regionalny | -8,937 | -273.2% |
| 193 | Friuli-Venezia Giulia | -8,972 | -31.5% |
| 194 | Lubelskie | -9,210 | -147% |
| 195 | Basque Country | -9,509 | -55.5% |
| 196 | Centru | -9,544 | -130.2% |
| 197 | Asturias | -9,779 | -26.3% |
| 198 | Mecklenburg-Vorpommern | -9,793 | -7.9% |
| 199 | Marche | -10,535 | -35.5% |
| 200 | Sardegna | -10,547 | -29.5% |
| 201 | Nord-Vest | -10,560 | -150.2% |
| 202 | Vest | -10,674 | -70.8% |
| 203 | Severen tsentralen | -10,718 | -34.8% |
| 204 | Schleswig-Holstein | -10,807 | -4.9% |
| 205 | Dresden | -10,902 | -60.1% |
| 206 | Centro (PT) | -11,022 | -18.1% |
| 207 | Castilla-La Mancha | -11,097 | -167.3% |
| 208 | Severozapaden | -11,243 | -20.8% |
| 209 | Latvija | -11,302 | -26.5% |
| 210 | Attiki | -11,372 | -6.7% |
| 211 | Kentriki Makedonia | -11,422 | -37.3% |
| 212 | Nord-Est | -11,450 | -111.8% |
| 213 | Dolnośląskie | -11,868 | -104.7% |
| 214 | Arnsberg | -12,696 | -12.2% |
| 215 | Valencian Community | -12,788 | -91.1% |
| 216 | Andalusia | -12,939 | -1,067.8% |
| 217 | Norte | -13,156 | -71.1% |
| 218 | Yuzhen tsentralen | -13,536 | -53.6% |
| 219 | Yugozapaden | -13,734 | -51.4% |
| 220 | Campania | -13,856 | -94.4% |
| 221 | Thüringen | -14,235 | -13.4% |
| 222 | Community of Madrid | -14,291 | -266.6% |
| 223 | Sud-Vest Oltenia | -14,304 | -32.5% |
| 224 | Chemnitz | -14,555 | -30.6% |
| 225 | Łódzkie | -14,916 | -66.4% |
| 226 | Brandenburg | -15,635 | -23.1% |
| 227 | Düsseldorf | -16,017 | -26.7% |
| 228 | Sud-Est | -16,601 | -30.9% |
| 229 | Liguria | -16,981 | -34.7% |
| 230 | Vidurio ir vakarų Lietuvos regionas | -17,269 | -43.2% |
| 231 | Puglia | -17,547 | -51.9% |
| 232 | Galicia | -17,598 | -13.2% |
| 233 | Sachsen-Anhalt | -17,691 | -12.8% |
| 234 | Sicilia | -18,063 | -31% |
| 235 | Catalonia | -21,320 | -610.9% |
| 236 | Śląskie | -21,903 | -94.6% |
| 237 | Castile and León | -22,545 | -56.6% |
| 238 | Lazio | -24,411 | -36.3% |
| 239 | Veneto | -24,665 | -60.7% |
| 240 | Sud-Muntenia | -24,730 | -42.9% |
| 241 | Toscana | -25,441 | -25.8% |
| 242 | Emilia-Romagna | -29,350 | -51.7% |
| 243 | Piemonte | -38,776 | -54.1% |
| 244 | Lombardia | -66,360 | -147% |
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. 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, 2020) [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, 2020. 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=2020. 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, 2020. 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=2020.
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, 2020 [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=2020 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2020,
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, 2020}},
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=2020. 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, 2020
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=2020
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/natural-population-change/eu-regions?period=2020.
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=10Questions
Which region has the highest natural population change?
Ile-de-France, with 77,900 in 2020, according to Eurostat, European Commission.
Which region has the lowest natural population change?
Lombardia, with -66,360 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 change, natural change of population, by NUTS 2 and 3 region (demo_r_gind3). Retrieved 2026-10-12.
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