EU regions (NUTS 2) by age-standardised death rate, all causes
Severozapaden had the highest age-standardised death rate, all causes of 237 regions in 2021, at 2,349.7 per 100,000 people. Community of Madrid had the lowest, at 696.4 per 100,000 people. The median was 1,014.9 per 100,000 people and the figure for the European Union (27) was 1,073.4 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2021
Full ranking
| Rank | Regions | 2021 | Change on 2020 |
|---|---|---|---|
| 1 | Severozapaden | 2,349.7 | +403.5 pts |
| 2 | Severen tsentralen | 2,261.5 | +355 pts |
| 3 | Severoiztochen | 2,126.4 | +362.6 pts |
| 4 | Mayotte | 2,108.2 | +318.7 pts |
| 5 | Yugoiztochen | 2,099 | +307 pts |
| 6 | Yugozapaden | 2,069.5 | +372.3 pts |
| 7 | Yuzhen tsentralen | 2,022.9 | +278.7 pts |
| 8 | Vest | 1,939.1 | +263 pts |
| 9 | Sud-Est | 1,907.9 | +270.3 pts |
| 10 | Sud-Muntenia | 1,895.4 | +242.1 pts |
| 11 | Nord-Est | 1,884.8 | +220 pts |
| 12 | Észak-Magyarország | 1,882.7 | +179.1 pts |
| 13 | Nord-Vest | 1,856.9 | +200.3 pts |
| 14 | Bucureşti-Ilfov | 1,823.2 | +261.5 pts |
| 15 | Panonska Hrvatska | 1,784 | +121.9 pts |
| 16 | Centru | 1,780.2 | +195.2 pts |
| 17 | Észak-Alföld | 1,761.2 | +150.3 pts |
| 18 | Sud-Vest Oltenia | 1,743 | +258.1 pts |
| 19 | Latvija | 1,728 | +282.8 pts |
| 20 | Stredné Slovensko | 1,713.6 | +335.6 pts |
| 21 | Közép-Dunántúl | 1,711.5 | +139.7 pts |
| 22 | Dél-Dunántúl | 1,709.2 | +197.6 pts |
| 23 | Dél-Alföld | 1,709.1 | +171.7 pts |
| 24 | Západné Slovensko | 1,707 | +308.2 pts |
| 25 | Východné Slovensko | 1,694.6 | +337.9 pts |
| 26 | Severozápad | 1,691.9 | +122.9 pts |
| 27 | Mazowiecki regionalny | 1,650.3 | +130.5 pts |
| 28 | Vidurio ir vakarų Lietuvos regionas | 1,630.2 | +128.9 pts |
| 29 | Sjeverna Hrvatska | 1,621.8 | +168.1 pts |
| 30 | Pest | 1,617.5 | +124.9 pts |
| 31 | Sostinės regionas | 1,610.4 | +193.1 pts |
| 32 | Lubuskie | 1,598 | +114.9 pts |
| 33 | Warmińsko-mazurskie | 1,594.8 | +174.8 pts |
| 34 | Nyugat-Dunántúl | 1,593.8 | +80.2 pts |
| 35 | Łódzkie | 1,584.7 | +87.4 pts |
| 36 | Moravskoslezsko | 1,568.1 | +90.5 pts |
| 37 | Kujawsko-pomorskie | 1,562.1 | +140.1 pts |
| 38 | Lubelskie | 1,559.9 | +174 pts |
| 39 | Śląskie | 1,544 | +124.7 pts |
| 40 | Zachodniopomorskie | 1,526.1 | +132.3 pts |
| 41 | Świętokrzyskie | 1,524.2 | +90.2 pts |
| 42 | Podlaskie | 1,519 | +197.1 pts |
| 43 | Wielkopolskie | 1,507.9 | +90.5 pts |
| 44 | Dolnośląskie | 1,485.9 | +85.2 pts |
| 45 | Grad Zagreb | 1,455.9 | +147 pts |
| 46 | Podkarpackie | 1,450.3 | +119.2 pts |
| 47 | Střední Čechy | 1,450.3 | +89 pts |
| 48 | Severovýchod | 1,439.8 | +125.8 pts |
| 49 | Opolskie | 1,431.2 | +34.8 pts |
| 50 | Jihozápad | 1,429.2 | +93.4 pts |
| 51 | Pomorskie | 1,427 | +103.4 pts |
| 52 | Střední Morava | 1,421.8 | +37.7 pts |
| 53 | Bratislavský kraj | 1,411.8 | +219 pts |
| 54 | Jadranska Hrvatska | 1,391.1 | +160.2 pts |
| 55 | Małopolskie | 1,375.9 | +53.4 pts |
| 56 | Budapest | 1,374.2 | +92.3 pts |
| 57 | Jihovýchod | 1,351.8 | +57 pts |
| 58 | Warszawski stołeczny | 1,338.7 | +104.2 pts |
| 59 | Eesti | 1,322.3 | +180.2 pts |
| 60 | Sachsen-Anhalt | 1,222.6 | +103 pts |
| 61 | Praha | 1,212.6 | +60 pts |
| 62 | Thüringen | 1,211.9 | +152.6 pts |
| 63 | Chemnitz | 1,211.4 | +61.8 pts |
| 64 | Região Autónoma dos Açores | 1,204.3 | -120.2 pts |
| 65 | Região Autónoma da Madeira | 1,201.1 | -63.2 pts |
| 66 | Kentriki Makedonia | 1,185.4 | +105.4 pts |
| 67 | Guyane | 1,166.8 | +317.4 pts |
| 68 | Anatoliki Makedonia, Thraki | 1,153.7 | +19.7 pts |
| 69 | Vzhodna Slovenija | 1,141 | -65.6 pts |
| 70 | Ceuta | 1,132.8 | +26.6 pts |
| 71 | Prov. Hainaut | 1,129.5 | -177.9 pts |
| 72 | Mecklenburg-Vorpommern | 1,125.6 | +84.1 pts |
| 73 | Saarland | 1,123.4 | +27.7 pts |
| 74 | Oberfranken | 1,116.8 | +35.7 pts |
| 75 | Thessalia | 1,114.9 | +139.2 pts |
| 76 | Brandenburg | 1,113.3 | +58.8 pts |
| 77 | Niederbayern | 1,108.3 | +30.2 pts |
| 78 | Arnsberg | 1,106 | +22.7 pts |
| 79 | Oberpfalz | 1,096.2 | +18.5 pts |
| 80 | Attiki | 1,088.6 | +109.8 pts |
| 81 | Dytiki Elláda | 1,085.4 | +107.8 pts |
| 82 | Guadeloupe | 1,083.3 | +217.8 pts |
| 83 | Kassel | 1,078.2 | +38.5 pts |
| 84 | Groningen | 1,077.7 | +69.9 pts |
| 85 | Dresden | 1,076.2 | +8.5 pts |
| 86 | Leipzig | 1,075.7 | +50.9 pts |
| 87 | Düsseldorf | 1,075.1 | +11.9 pts |
| 88 | Martinique | 1,075 | +252 pts |
| 89 | Kýpros | 1,071 | +91.2 pts |
| 90 | Algarve | 1,069.7 | +17.9 pts |
| 91 | Limburg (NL) | 1,066.2 | +3.3 pts |
| 92 | Mittelfranken | 1,065.5 | +10.1 pts |
| 93 | Sjælland | 1,062.2 | +23.3 pts |
| 94 | Gießen | 1,062.2 | +17.9 pts |
| 95 | Melilla | 1,061.9 | -80.1 pts |
| 96 | Dytiki Makedonia | 1,061.1 | +73.3 pts |
| 97 | Prov. Namur | 1,059.2 | -143.1 pts |
| 98 | Koblenz | 1,058.7 | +29.6 pts |
| 99 | Campania | 1,058.4 | +17 pts |
| 100 | Ionia Nisia | 1,055.3 | +45.5 pts |
| 101 | Braunschweig | 1,055.3 | +22.5 pts |
| 102 | Bremen | 1,054.3 | -0.9 pts |
| 103 | Münster | 1,052.9 | +21.3 pts |
| 104 | Prov. Liège | 1,052.5 | -222.9 pts |
| 105 | Niederösterreich | 1,047.3 | +40.3 pts |
| 106 | Prov. Luxembourg (BE) | 1,044.6 | -63.4 pts |
| 107 | Hannover | 1,043.9 | +28.5 pts |
| 108 | Drenthe | 1,043.9 | +40.3 pts |
| 109 | Sterea Elláda | 1,039.3 | +136.7 pts |
| 110 | Weser-Ems | 1,034.2 | -7.5 pts |
| 111 | Lüneburg | 1,033.1 | +12.3 pts |
| 112 | Flevoland | 1,032.6 | +36.5 pts |
| 113 | Sicilia | 1,031.2 | +51.2 pts |
| 114 | Overijssel | 1,029.9 | -13.2 pts |
| 115 | Burgenland | 1,024.4 | +17.5 pts |
| 116 | Köln | 1,020 | +9.1 pts |
| 117 | Friesland (NL) | 1,017.8 | +65.3 pts |
| 118 | Wien | 1,015.5 | -3.2 pts |
| 119 | Rheinhessen-Pfalz | 1,014.9 | +5.5 pts |
| 120 | Schleswig-Holstein | 1,014.6 | +18.3 pts |
| 121 | Gelderland | 1,014.1 | -8.2 pts |
| 122 | Berlin | 1,007.3 | -7.9 pts |
| 123 | Nord-Pas de Calais | 1,006.7 | -21.2 pts |
| 124 | Nordjylland | 1,005.3 | +50.5 pts |
| 125 | Unterfranken | 1,004.3 | +38.4 pts |
| 126 | Hamburg | 1,001.6 | +20.3 pts |
| 127 | Noord-Brabant | 1,001 | -63.8 pts |
| 128 | Detmold | 1,000.5 | +18.9 pts |
| 129 | Peloponnisos | 999.8 | +91.4 pts |
| 130 | Zeeland | 997.9 | +114.4 pts |
| 131 | Noord-Holland | 989.9 | -5.2 pts |
| 132 | Schwaben | 989.5 | +15.3 pts |
| 133 | Oberösterreich | 987.1 | +3.6 pts |
| 134 | Trier | 985.6 | -13.5 pts |
| 135 | Syddanmark | 982.2 | +30.4 pts |
| 136 | Karlsruhe | 980.5 | +12.8 pts |
| 137 | Hovedstaden | 979.2 | -4.9 pts |
| 138 | Picardie | 976.6 | -33.6 pts |
| 139 | Pohjois- ja Itä-Suomi | 976 | +17.6 pts |
| 140 | Darmstadt | 974.4 | +8.8 pts |
| 141 | Molise | 972.6 | +76 pts |
| 142 | Notio Aigaio | 971.8 | +85.1 pts |
| 143 | Andalusia | 971.7 | -6.9 pts |
| 144 | Calabria | 967.6 | +68.9 pts |
| 145 | Kriti | 966 | +61.3 pts |
| 146 | Midtjylland | 960.9 | +31.5 pts |
| 147 | Steiermark | 953.5 | -74.5 pts |
| 148 | Kärnten | 952.9 | -58.1 pts |
| 149 | Mellersta Norrland | 950.4 | -87.3 pts |
| 150 | Freiburg | 950.3 | +5.5 pts |
| 151 | Övre Norrland | 949.3 | -16.8 pts |
| 152 | Lorraine | 945.9 | -51.1 pts |
| 153 | Puglia | 945.8 | +36.4 pts |
| 154 | Etelä-Suomi | 943.8 | +24.9 pts |
| 155 | Stuttgart | 938.1 | +4.7 pts |
| 156 | Tübingen | 937.6 | +14.2 pts |
| 157 | La Réunion | 936.9 | +77.3 pts |
| 158 | Southern | 935.6 | +48.9 pts |
| 159 | Region of Murcia | 932.3 | +0.6 pts |
| 160 | Zahodna Slovenija | 931 | -55.4 pts |
| 161 | Oberbayern | 930.9 | +4.9 pts |
| 162 | Champagne-Ardenne | 930.4 | -20.2 pts |
| 163 | Extremadura | 925.4 | -62.5 pts |
| 164 | Haute-Normandie | 921.1 | -26.2 pts |
| 165 | Salzburg | 914.8 | -0.6 pts |
| 166 | Norte | 914.3 | -137 pts |
| 167 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 914.2 | -226.9 pts |
| 168 | Eastern and Midland | 907 | -1.9 pts |
| 169 | Lazio | 906.6 | +7.5 pts |
| 170 | Basilicata | 906 | +19 pts |
| 171 | Malta | 904.1 | -22.2 pts |
| 172 | Länsi-Suomi | 903 | +10.2 pts |
| 173 | Norra Mellansverige | 902.3 | -47.1 pts |
| 174 | Valencian Community | 900.4 | +4.6 pts |
| 175 | Friuli-Venezia Giulia | 899 | +10.4 pts |
| 176 | Helsinki-Uusimaa | 896.4 | -2.3 pts |
| 177 | Basse-Normandie | 894.4 | +36.1 pts |
| 178 | Abruzzo | 893 | +5 pts |
| 179 | Piemonte | 891.7 | -146.5 pts |
| 180 | Northern and Western | 885.5 | +26.6 pts |
| 181 | Valle d’Aosta/Vallée d’Aoste | 883.2 | -181 pts |
| 182 | Auvergne | 870.6 | -19.2 pts |
| 183 | Ipeiros | 868.5 | +71.6 pts |
| 184 | Sydsverige | 868 | -48.4 pts |
| 185 | Prov. Oost-Vlaanderen | 867.3 | -105.8 pts |
| 186 | Liguria | 866.7 | -116 pts |
| 187 | Marche | 864.9 | -8.4 pts |
| 188 | Bourgogne | 863.9 | -42.4 pts |
| 189 | Vorarlberg | 862.6 | -31.5 pts |
| 190 | Centre - Val de Loire | 862.5 | +8 pts |
| 191 | Prov. Antwerpen | 861.2 | -104.2 pts |
| 192 | Voreio Aigaio | 860.6 | -11.9 pts |
| 193 | Emilia-Romagna | 860.3 | -58.1 pts |
| 194 | Luxembourg | 859.6 | -45.5 pts |
| 195 | Tirol | 859.5 | -44.3 pts |
| 196 | Östra Mellansverige | 859.3 | -69.5 pts |
| 197 | Sardegna | 857.4 | -18.2 pts |
| 198 | Limousin | 853.6 | +18 pts |
| 199 | Languedoc-Roussillon | 853.3 | +25.2 pts |
| 200 | Franche-Comté | 852.7 | -67.2 pts |
| 201 | Provence-Alpes-Côte d’Azur | 851.3 | +28.5 pts |
| 202 | Bretagne | 849.4 | +14.4 pts |
| 203 | Prov. West-Vlaanderen | 848.8 | -87 pts |
| 204 | Asturias | 848.3 | -79.8 pts |
| 205 | Poitou-Charentes | 847.8 | +40.4 pts |
| 206 | Toscana | 847.6 | -7.6 pts |
| 207 | Prov. Limburg (BE) | 842.7 | -84.2 pts |
| 208 | Alsace | 842.1 | -103.4 pts |
| 209 | Prov. Brabant wallon | 841.4 | -117.7 pts |
| 210 | Västsverige | 841.2 | -69.9 pts |
| 211 | Umbria | 839.4 | +27.1 pts |
| 212 | Castilla-La Mancha | 837.2 | -219.1 pts |
| 213 | Lombardia | 835.2 | -221.4 pts |
| 214 | Canary Islands | 826.2 | +1.8 pts |
| 215 | Veneto | 825.1 | -64.4 pts |
| 216 | Småland med öarna | 819.4 | -91.8 pts |
| 217 | La Rioja | 815.3 | -80.1 pts |
| 218 | Aragon | 811.6 | -115.9 pts |
| 219 | Prov. Vlaams-Brabant | 810.4 | -100.1 pts |
| 220 | Provincia Autonoma di Bolzano/Bozen | 807.9 | -81.5 pts |
| 221 | Balearic Islands | 807.4 | +2.6 pts |
| 222 | Aquitaine | 807.2 | +24.8 pts |
| 223 | Catalonia | 805.9 | -129.3 pts |
| 224 | Pays de la Loire | 798.9 | +7.5 pts |
| 225 | Corse | 796.6 | +38.5 pts |
| 226 | Galicia | 785.1 | -12.3 pts |
| 227 | Midi-Pyrénées | 780.3 | +8.1 pts |
| 228 | Basque Country | 779.1 | -52.3 pts |
| 229 | Provincia Autonoma di Trento | 778.7 | -146.2 pts |
| 230 | Cantabria | 771.8 | -66.9 pts |
| 231 | Rhône-Alpes | 771 | -79.6 pts |
| 232 | Stockholm | 764.1 | -183.4 pts |
| 233 | Ile-de-France | 761 | -82.5 pts |
| 234 | Åland | 754.8 | -103.6 pts |
| 235 | Castile and León | 749.1 | -161.4 pts |
| 236 | Navarre | 725.1 | -117 pts |
| 237 | Community of Madrid | 696.4 | -245 pts |
Other periods
About this ranking
Deaths from [object Object] (ICD-10 A00 to Y89) per 100,000 inhabitants, age-standardised to the revised European Standard Population of 2013. Both sexes, all ages, by place of residence (Eurostat causes of death statistics).
For 2018 to 2021 Eurostat publishes the total under the code A-R_V-Y (all causes excluding S00 to T98, injury codes that are never an underlying cause); Invokely serves both codes as one series. For deaths per 1,000 people without age standardisation use crude_death_rate. Age standardisation removes the effect of different age structures, so EU countries and regions can be compared with each other. US age-adjusted rates use the 2000 US standard population and are not comparable with these. Death certification and cause coding differ between countries, and Eurostat flags some values as following a different definition. Eurostat publishes these rates about two and a half years after the reference year.
Every value in the ranking comes from the same publisher and the same period, so the regions are compared on one definition. 7 regions with data in other periods have no value for 2021 and are left out rather than filled from another source. Equal values share a rank.
How to cite
Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, all causes excluding S00 to T98, ICD-10 A-R_V-Y (hlth_cd_asdr2). https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Retrieved 2026-10-12.
Citation styles
APA 7
Eurostat, European Commission. (2026). Causes of death, standardised death rate by NUTS 2 region of residence, all causes excluding S00 to T98, ICD-10 A-R_V-Y (hlth_cd_asdr2) (EU regions (NUTS 2) by age-standardised death rate, all causes, 2021) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table
MLA 9
Causes of death, standardised death rate by NUTS 2 region of residence, all causes excluding S00 to T98, ICD-10 A-R_V-Y (hlth_cd_asdr2), EU regions (NUTS 2) by age-standardised death rate, all causes, 2021. Eurostat, European Commission, 8 June 2026, https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Invokely, https://invokely.ai/rankings/standardised-death-rate/eu-regions?period=2021. Accessed 12 Oct. 2026.
Chicago (author-date)
Eurostat, European Commission. 2026. Causes of death, standardised death rate by NUTS 2 region of residence, all causes excluding S00 to T98, ICD-10 A-R_V-Y (hlth_cd_asdr2). EU regions (NUTS 2) by age-standardised death rate, all causes, 2021. Dataset. Accessed October 12, 2026. https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Also distributed by Invokely, https://invokely.ai/rankings/standardised-death-rate/eu-regions?period=2021.
Harvard
Eurostat, European Commission (2026) Causes of death, standardised death rate by NUTS 2 region of residence, all causes excluding S00 to T98, ICD-10 A-R_V-Y (hlth_cd_asdr2), EU regions (NUTS 2) by age-standardised death rate, all causes, 2021 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table, via Invokely: https://invokely.ai/rankings/standardised-death-rate/eu-regions?period=2021 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2021,
author = {{Eurostat, European Commission}},
title = {{Causes of death, standardised death rate by NUTS 2 region of residence, all causes excluding S00 to T98, ICD-10 A-R\_V-Y (hlth\_cd\_asdr2): EU regions (NUTS 2) by age-standardised death rate, all causes, 2021}},
year = {2026},
howpublished = {Data set},
url = {https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/standardised-death-rate/eu-regions?period=2021. Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, all causes excluding S00 to T98, ICD-10 A-R\_V-Y (hlth\_cd\_asdr2). https://ec.europa.eu/eurostat/databrowser/view/hlth\_cd\_asdr2/default/table. Retrieved 2026-10-12.},
}
RIS
TY - DATA
AU - Eurostat, European Commission
TI - Causes of death, standardised death rate by NUTS 2 region of residence, all causes excluding S00 to T98, ICD-10 A-R_V-Y (hlth_cd_asdr2): EU regions (NUTS 2) by age-standardised death rate, all causes, 2021
PY - 2026
DA - 2026/06/08
PB - Eurostat, European Commission
DB - Invokely
UR - https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table
L2 - https://invokely.ai/rankings/standardised-death-rate/eu-regions?period=2021
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/standardised-death-rate/eu-regions?period=2021.
N1 - Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, all causes excluding S00 to T98, ICD-10 A-R_V-Y (hlth_cd_asdr2). https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/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 age-standardised death rate, all causes using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_all_causes","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_all_causes&level=region&within=European%20Union%20(27)&limit=10
Questions
Which region has the highest age-standardised death rate, all causes?
Severozapaden, with 2,349.7 per 100,000 people in 2021, according to Eurostat, European Commission.
Which region has the lowest age-standardised death rate, all causes?
Community of Madrid, with 696.4 per 100,000 people in 2021.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, Causes of death, standardised death rate by NUTS 2 region of residence, all causes excluding S00 to T98, ICD-10 A-R_V-Y (hlth_cd_asdr2). Retrieved 2026-10-12. 7 regions have no value for 2021 and are not ranked.
Age-standardised death rate, all causes: other rankings
EU regions (NUTS 2): more rankings
- Death rate from stroke and other cerebrovascular diseases (age-standardised)
- Physicians per 10,000 people
- Death rate from respiratory diseases (age-standardised)
- Suicide death rate (age-standardised)
- Average annual spending per person (Spain)
- Average annual household spending on transport (Spain)
- Population
- Average net income per household