EU regions (NUTS 2) by natural population change
Ile-de-France had the highest natural population change of 244 regions in 2022, at 80,545. Lombardia had the lowest, at -44,567. The median was -4,202 and the figure for the European Union (27) was -1.27 million. Source: Eurostat, European Commission.
Top 40 regions, 2022
Full ranking
| Rank | Regions | 2022 | Change on 2021 |
|---|---|---|---|
| 1 | Ile-de-France | 80,545 | -4.8% |
| 2 | Rhône-Alpes | 14,510 | -18.4% |
| 3 | Eastern and Midland | 12,448 | -20.9% |
| 4 | Stockholm | 10,162 | -24.4% |
| 5 | Mayotte | 9,803 | +3.5% |
| 6 | La Réunion | 6,815 | -11.7% |
| 7 | Guyane | 6,508 | -3.8% |
| 8 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 5,882 | -14.4% |
| 9 | Southern | 4,530 | -34.1% |
| 10 | Hovedstaden | 4,411 | -37.7% |
| 11 | Zuid-Holland | 3,638 | -41.7% |
| 12 | Nord-Pas de Calais | 3,185 | -31.3% |
| 13 | Kýpros | 2,902 | -6.6% |
| 14 | Utrecht | 2,768 | -38% |
| 15 | Västsverige | 2,622 | -47.5% |
| 16 | Noord-Holland | 2,517 | -49.1% |
| 17 | Northern and Western | 2,433 | -33.5% |
| 18 | Flevoland | 2,222 | -0.5% |
| 19 | Luxembourg | 2,046 | -7% |
| 20 | Východné Slovensko | 2,028 | +219.7% |
| 21 | Midtjylland | 1,385 | -51.6% |
| 22 | Helsinki-Uusimaa | 1,189 | -72.1% |
| 23 | Sydsverige | 1,114 | -62.5% |
| 24 | Wien | 1,101 | -13.5% |
| 25 | Prov. Antwerpen | 1,061 | -59.8% |
| 26 | Östra Mellansverige | 814 | -67.3% |
| 27 | Praha | 718 | +3% |
| 28 | Guadeloupe | 494 | +1,958.3% |
| 29 | Tirol | 469 | -64.1% |
| 30 | Melilla | 410 | +11.4% |
| 31 | Picardie | 403 | +24% |
| 32 | Vorarlberg | 353 | -61.4% |
| 33 | Region of Murcia | 226 | -80% |
| 34 | Bratislavský kraj | 164 | +97.6% |
| 35 | Prov. Luxembourg (BE) | 135 | -33.8% |
| 36 | Salzburg | 120 | -71.7% |
| 37 | Ceuta | 113 | +151.1% |
| 38 | Haute-Normandie | 95 | -89.1% |
| 39 | Malta | 79 | -65.9% |
| 40 | Alsace | 62 | -96.1% |
| 41 | Prov. Vlaams-Brabant | 24 | -97.7% |
| 42 | Pays de la Loire | -40 | -101.5% |
| 43 | Åland | -56 | -286.7% |
| 44 | Notio Aigaio | -70 | -129.7% |
| 45 | Community of Madrid | -193 | -112.8% |
| 46 | Balearic Islands | -241 | -133.6% |
| 47 | Prov. Brabant wallon | -273 | -249.2% |
| 48 | Provincia Autonoma di Bolzano/Bozen | -309 | -260.1% |
| 49 | Småland med öarna | -327 | -141.8% |
| 50 | Overijssel | -418 | -596.7% |
| 51 | Oberösterreich | -436 | -1,047.8% |
| 52 | Prov. Namur | -516 | -173% |
| 53 | Região Autónoma dos Açores | -644 | -99.4% |
| 54 | Martinique | -696 | +31.4% |
| 55 | Prov. Oost-Vlaanderen | -748 | -210.3% |
| 56 | Valle d’Aosta/Vallée d’Aoste | -749 | +1.3% |
| 57 | Hamburg | -823 | -137.9% |
| 58 | Střední Čechy | -884 | +44.6% |
| 59 | Zeeland | -945 | +17.2% |
| 60 | Corse | -995 | -11.9% |
| 61 | Övre Norrland | -1,153 | -204.2% |
| 62 | Prov. Limburg (BE) | -1,187 | -147.3% |
| 63 | Groningen | -1,198 | -33.9% |
| 64 | Mellersta Norrland | -1,218 | -105.1% |
| 65 | Voreio Aigaio | -1,238 | -80.7% |
| 66 | La Rioja | -1,273 | -4.4% |
| 67 | Kriti | -1,274 | -188.9% |
| 68 | Friesland (NL) | -1,297 | -72.9% |
| 69 | Ionia Nisia | -1,323 | -34.6% |
| 70 | Zahodna Slovenija | -1,328 | -100.3% |
| 71 | Prov. Liège | -1,333 | -137.2% |
| 72 | Região Autónoma da Madeira | -1,346 | -19% |
| 73 | Oberbayern | -1,383 | -133% |
| 74 | Nordjylland | -1,396 | -215.1% |
| 75 | Franche-Comté | -1,422 | -53.2% |
| 76 | Provincia Autonoma di Trento | -1,423 | -17.9% |
| 77 | Grande Lisboa | -1,426 | +62.3% |
| 78 | Burgenland | -1,534 | -12.8% |
| 79 | Navarre | -1,558 | -136.8% |
| 80 | Península de Setúbal | -1,742 | +37.5% |
| 81 | Algarve | -1,793 | -2.1% |
| 82 | Noord-Brabant | -1,884 | -1,431.7% |
| 83 | Champagne-Ardenne | -1,901 | -15.8% |
| 84 | Gelderland | -1,918 | -271.7% |
| 85 | Drenthe | -1,994 | -39.1% |
| 86 | Norra Mellansverige | -2,017 | -43.6% |
| 87 | Provence-Alpes-Côte d’Azur | -2,059 | +17.6% |
| 88 | Jihovýchod | -2,148 | +29.6% |
| 89 | Bremen | -2,173 | -79.7% |
| 89 | Prov. Hainaut | -2,173 | -14.5% |
| 91 | Grad Zagreb | -2,180 | +25.6% |
| 92 | Kärnten | -2,310 | -23.9% |
| 93 | Tübingen | -2,318 | -5,695% |
| 94 | Trier | -2,372 | -55.1% |
| 95 | Dytiki Makedonia | -2,432 | -4.5% |
| 96 | Jihozápad | -2,518 | +30.6% |
| 97 | Syddanmark | -2,538 | -179.5% |
| 98 | Ipeiros | -2,587 | -13.4% |
| 99 | Molise | -2,601 | +1.1% |
| 100 | Stredné Slovensko | -2,639 | +50.1% |
| 101 | Sostinės regionas | -2,704 | +31.4% |
| 102 | Střední Morava | -2,830 | +31.2% |
| 103 | Sjælland | -2,867 | -26.5% |
| 104 | Pest | -3,044 | +31.9% |
| 105 | Oberpfalz | -3,149 | -34.3% |
| 106 | Prov. West-Vlaanderen | -3,201 | -29.6% |
| 107 | Schwaben | -3,263 | -160.6% |
| 108 | Severovýchod | -3,330 | +35.9% |
| 109 | Warszawski stołeczny | -3,333 | +49.3% |
| 110 | Niederbayern | -3,424 | -22.7% |
| 111 | Steiermark | -3,485 | -60.2% |
| 112 | Vzhodna Slovenija | -3,537 | +2.1% |
| 113 | Cantabria | -3,543 | -28% |
| 114 | Bucureşti-Ilfov | -3,641 | +61.4% |
| 115 | Severozápad | -3,779 | +35.5% |
| 116 | Berlin | -3,843 | -362.9% |
| 117 | Basilicata | -3,905 | -11.3% |
| 118 | Centre - Val de Loire | -3,940 | -19.2% |
| 119 | Limousin | -4,068 | -5.8% |
| 120 | Limburg (NL) | -4,099 | +8.7% |
| 121 | Moravskoslezsko | -4,149 | +22.4% |
| 122 | Midi-Pyrénées | -4,157 | -108.4% |
| 123 | Sjeverna Hrvatska | -4,246 | +16.5% |
| 124 | Gießen | -4,280 | -34.6% |
| 125 | Podlaskie | -4,314 | +34.8% |
| 126 | Sterea Elláda | -4,370 | -5.8% |
| 127 | Alentejo | -4,378 | +7% |
| 128 | Pomorskie | -4,463 | +5.8% |
| 129 | Anatoliki Makedonia, Thraki | -4,506 | -4.1% |
| 130 | Dytiki Elláda | -4,526 | -11.1% |
| 131 | Lubuskie | -4,565 | +22.7% |
| 132 | Unterfranken | -4,755 | -50.3% |
| 133 | Nyugat-Dunántúl | -4,774 | +22.2% |
| 134 | Freiburg | -4,844 | -145.6% |
| 135 | Peloponnisos | -4,861 | -14.8% |
| 136 | Małopolskie | -4,874 | +34.5% |
| 137 | Opolskie | -4,956 | +16% |
| 138 | Niederösterreich | -4,983 | -12% |
| 139 | Podkarpackie | -5,123 | +40.2% |
| 140 | Észak-Alföld | -5,195 | +32.9% |
| 141 | Auvergne | -5,260 | -19.7% |
| 142 | Lorraine | -5,265 | -24.2% |
| 143 | Mittelfranken | -5,282 | -69.2% |
| 144 | Oeste e Vale do Tejo | -5,289 | +13.5% |
| 145 | Basse-Normandie | -5,324 | -25.7% |
| 146 | Thessalia | -5,476 | +4.6% |
| 147 | Leipzig | -5,497 | -19.7% |
| 148 | Extremadura | -5,573 | -9.9% |
| 149 | Languedoc-Roussillon | -5,662 | -36.6% |
| 150 | Eesti | -5,669 | -6.7% |
| 151 | Közép-Dunántúl | -5,677 | +22.6% |
| 152 | Stuttgart | -5,949 | -4,174.7% |
| 153 | Länsi-Suomi | -6,009 | -100.8% |
| 154 | Castilla-La Mancha | -6,030 | -2.5% |
| 155 | Észak-Magyarország | -6,164 | +30.4% |
| 156 | Warmińsko-mazurskie | -6,221 | +25% |
| 157 | Dél-Dunántúl | -6,237 | +21.3% |
| 158 | Oberfranken | -6,264 | -20.8% |
| 159 | Aragon | -6,391 | -26.5% |
| 160 | Bourgogne | -6,406 | -20.8% |
| 161 | Kassel | -6,437 | -17.7% |
| 162 | Západné Slovensko | -6,468 | +35.3% |
| 163 | Canary Islands | -6,493 | -47% |
| 164 | Pohjois- ja Itä-Suomi | -6,627 | -51.1% |
| 165 | Umbria | -6,681 | -6.9% |
| 166 | Etelä-Suomi | -6,765 | -36% |
| 167 | Detmold | -6,931 | -79.4% |
| 168 | Karlsruhe | -7,013 | -93.8% |
| 169 | Aquitaine | -7,065 | -45.2% |
| 170 | Rheinhessen-Pfalz | -7,271 | -59.4% |
| 171 | Darmstadt | -7,286 | -250% |
| 172 | Wielkopolskie | -7,547 | +21.3% |
| 173 | Koblenz | -7,562 | -29.7% |
| 174 | Saarland | -7,595 | -27.9% |
| 175 | Świętokrzyskie | -7,630 | +21.2% |
| 176 | Budapest | -7,677 | +16.6% |
| 177 | Severoiztochen | -7,970 | +30.8% |
| 178 | Jadranska Hrvatska | -8,041 | +3.1% |
| 179 | Bretagne | -8,042 | -59.8% |
| 180 | Poitou-Charentes | -8,073 | -16.7% |
| 181 | Centru | -8,182 | +41.1% |
| 181 | Dél-Alföld | -8,182 | +20.7% |
| 183 | Weser-Ems | -8,465 | -114.6% |
| 184 | Friuli-Venezia Giulia | -8,599 | +7.4% |
| 185 | Panonska Hrvatska | -8,629 | +12.7% |
| 186 | Yugoiztochen | -8,631 | +26.4% |
| 187 | Nord-Vest | -8,678 | +42.1% |
| 188 | Abruzzo | -8,757 | -9.8% |
| 189 | Zachodniopomorskie | -8,773 | +15.6% |
| 190 | Münster | -8,804 | -69.8% |
| 191 | Braunschweig | -8,875 | -43.5% |
| 192 | Lüneburg | -8,969 | -50.4% |
| 193 | Mazowiecki regionalny | -9,039 | +30.3% |
| 194 | Kujawsko-pomorskie | -9,123 | +21.1% |
| 195 | Vest | -9,171 | +38.1% |
| 196 | Asturias | -9,192 | -7.1% |
| 197 | Calabria | -9,488 | -0.8% |
| 198 | Nord-Est | -9,697 | +44.5% |
| 199 | Lubelskie | -9,706 | +30.6% |
| 200 | Severen tsentralen | -10,080 | +26.6% |
| 201 | Severozapaden | -10,416 | +29.3% |
| 202 | Basque Country | -10,540 | -19.6% |
| 203 | Hannover | -10,809 | -45.5% |
| 204 | Marche | -10,827 | -3% |
| 205 | Dresden | -10,971 | +3.9% |
| 206 | Centro (PT) | -11,566 | +6.4% |
| 207 | Yuzhen tsentralen | -12,376 | +30.9% |
| 208 | Köln | -12,493 | -93.8% |
| 209 | Norte | -12,506 | -1.7% |
| 210 | Kentriki Makedonia | -12,683 | +4.4% |
| 211 | Yugozapaden | -12,745 | +38.5% |
| 212 | Sardegna | -12,850 | -24% |
| 213 | Sud-Vest Oltenia | -13,292 | +28.5% |
| 214 | Dolnośląskie | -13,358 | +16.2% |
| 215 | Valencian Community | -14,232 | -1.9% |
| 216 | Chemnitz | -14,267 | +9.8% |
| 217 | Catalonia | -14,362 | -22.7% |
| 218 | Mecklenburg-Vorpommern | -14,557 | -18.3% |
| 219 | Latvija | -14,777 | +14% |
| 220 | Łódzkie | -15,194 | +17.6% |
| 221 | Liguria | -15,435 | -10.2% |
| 222 | Sud-Est | -15,668 | +29.9% |
| 223 | Andalusia | -15,995 | -16.8% |
| 224 | Schleswig-Holstein | -16,744 | -45.7% |
| 225 | Campania | -16,990 | +3% |
| 226 | Arnsberg | -17,860 | -35.7% |
| 227 | Castile and León | -17,882 | -10.4% |
| 228 | Vidurio ir vakarų Lietuvos regionas | -18,112 | +11.5% |
| 229 | Puglia | -18,375 | +7.7% |
| 230 | Attiki | -18,654 | -14.3% |
| 231 | Thüringen | -18,664 | +4.1% |
| 232 | Brandenburg | -19,963 | -8.7% |
| 233 | Galicia | -20,501 | -13.5% |
| 234 | Sud-Muntenia | -22,163 | +28.1% |
| 235 | Sicilia | -22,656 | -4.9% |
| 236 | Sachsen-Anhalt | -22,775 | -7.1% |
| 237 | Düsseldorf | -23,592 | -47.6% |
| 238 | Veneto | -23,718 | -14.5% |
| 239 | Śląskie | -25,097 | +20.1% |
| 240 | Emilia-Romagna | -25,384 | +0.2% |
| 241 | Toscana | -27,293 | -9.6% |
| 242 | Lazio | -28,247 | -5.8% |
| 243 | Piemonte | -32,890 | -10.7% |
| 244 | Lombardia | -44,567 | -14.6% |
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, 2022) [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, 2022. 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=2022. 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, 2022. 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=2022.
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, 2022 [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=2022 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2022,
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, 2022}},
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=2022. 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, 2022
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=2022
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/natural-population-change/eu-regions?period=2022.
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 80,545 in 2022, according to Eurostat, European Commission.
Which region has the lowest natural population change?
Lombardia, with -44,567 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 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