EU regions (NUTS 2) by death rate from external causes (age-standardised)
Vzhodna Slovenija had the highest death rate from external causes (age-standardised) of 237 regions in 2020, at 88.8 per 100,000 people. Community of Madrid had the lowest, at 22.7 per 100,000 people. The median was 48.4 per 100,000 people and the figure for the European Union (27) was 46.5 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2020
Full ranking
| Rank | Regions | 2020 | Change on 2019 |
|---|---|---|---|
| 1 | Vzhodna Slovenija | 88.8 | +15.2 pts |
| 2 | Vidurio ir vakarų Lietuvos regionas | 87.5 | +3.2 pts |
| 3 | Sostinės regionas | 84.5 | +4 pts |
| 4 | Prov. Namur | 83.5 | +5.4 pts |
| 5 | Panonska Hrvatska | 78.2 | |
| 6 | Prov. Hainaut | 76.7 | -2.8 pts |
| 7 | Prov. Liège | 75.8 | -1.5 pts |
| 8 | Zahodna Slovenija | 75.3 | +3.9 pts |
| 9 | Prov. Luxembourg (BE) | 75 | -14.6 pts |
| 10 | Mazowiecki regionalny | 74.7 | +3.6 pts |
| 11 | Latvija | 74.2 | +1.2 pts |
| 12 | Eesti | 71.2 | +10.7 pts |
| 13 | Prov. Brabant wallon | 68.8 | +10.4 pts |
| 14 | Leipzig | 67.5 | -4.6 pts |
| 15 | Bretagne | 66.5 | -2.9 pts |
| 16 | Lubelskie | 66.3 | +13.6 pts |
| 17 | Basse-Normandie | 65.3 | +0.7 pts |
| 18 | Mellersta Norrland | 65.3 | +0.2 pts |
| 19 | Poitou-Charentes | 64.6 | +4.1 pts |
| 20 | Guadeloupe | 64.6 | +2.6 pts |
| 21 | Franche-Comté | 64.4 | +3.4 pts |
| 22 | Pohjois- ja Itä-Suomi | 64.3 | -1.2 pts |
| 23 | Moravskoslezsko | 64 | +6.4 pts |
| 24 | Severozápad | 63.7 | +3.9 pts |
| 25 | Észak-Magyarország | 63.3 | -10.3 pts |
| 26 | Mayotte | 63.2 | +26.5 pts |
| 27 | Střední Morava | 63 | -2.7 pts |
| 28 | Sjeverna Hrvatska | 62.6 | |
| 29 | Dél-Alföld | 62.5 | -0.2 pts |
| 30 | Łódzkie | 62.4 | -2.3 pts |
| 31 | Świętokrzyskie | 62 | +13.4 pts |
| 32 | Salzburg | 61.5 | +1 pts |
| 33 | Limousin | 61.3 | -2.8 pts |
| 34 | Jadranska Hrvatska | 61.2 | -6.1 pts |
| 35 | Nord-Pas de Calais | 60.7 | -0.9 pts |
| 36 | Podlaskie | 60.5 | +0.3 pts |
| 37 | Hamburg | 60.3 | +0.1 pts |
| 38 | Övre Norrland | 60.3 | -1.5 pts |
| 39 | Noord-Holland | 59.7 | -3.7 pts |
| 40 | Kujawsko-pomorskie | 59.4 | +4.3 pts |
| 41 | Auvergne | 59.3 | -5 pts |
| 42 | Nord-Est | 59.3 | -8.5 pts |
| 43 | Dresden | 59.3 | +0.1 pts |
| 44 | Západné Slovensko | 58.3 | -8 pts |
| 45 | Bourgogne | 58.3 | +0.4 pts |
| 46 | Drenthe | 58.2 | -3 pts |
| 47 | Guyane | 58.2 | -16.6 pts |
| 47 | Stredné Slovensko | 58.2 | -14 pts |
| 49 | Pomorskie | 57.9 | -0 pts |
| 50 | Haute-Normandie | 57.9 | -0.7 pts |
| 51 | Śląskie | 57.7 | +1.3 pts |
| 52 | Picardie | 57.6 | +2.3 pts |
| 53 | Východné Slovensko | 57.5 | -5.5 pts |
| 54 | La Réunion | 57.4 | -1.2 pts |
| 55 | Länsi-Suomi | 57.2 | -1.4 pts |
| 56 | Champagne-Ardenne | 57.2 | -3.1 pts |
| 57 | Dél-Dunántúl | 57.1 | -0.1 pts |
| 58 | Pays de la Loire | 57.1 | +2.1 pts |
| 59 | Steiermark | 57 | +7 pts |
| 60 | Vorarlberg | 56.7 | +16.3 pts |
| 61 | Warmińsko-mazurskie | 56.7 | -0.7 pts |
| 62 | Dolnośląskie | 56.5 | +1.1 pts |
| 62 | Lorraine | 56.5 | -2.5 pts |
| 64 | Tirol | 56.3 | -1.3 pts |
| 65 | Grad Zagreb | 56.2 | |
| 66 | Noord-Brabant | 55.8 | +1.9 pts |
| 67 | Prov. Oost-Vlaanderen | 55.7 | -1.4 pts |
| 68 | Jihozápad | 55.7 | -2.8 pts |
| 69 | Limburg (NL) | 55.5 | +3.3 pts |
| 70 | Gelderland | 55.3 | -0.5 pts |
| 71 | Niederösterreich | 55.2 | +2.6 pts |
| 72 | Centre - Val de Loire | 55 | -1.3 pts |
| 73 | Algarve | 54.9 | -6.5 pts |
| 73 | Chemnitz | 54.9 | -4.8 pts |
| 75 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 54.9 | -1.4 pts |
| 76 | Languedoc-Roussillon | 54.7 | -0.6 pts |
| 77 | Flevoland | 54.6 | +0.2 pts |
| 78 | Prov. West-Vlaanderen | 54.2 | +2.9 pts |
| 79 | Alsace | 54 | +1.5 pts |
| 80 | Etelä-Suomi | 54 | -6 pts |
| 81 | Kärnten | 53.9 | -5.8 pts |
| 81 | Opolskie | 53.9 | -4 pts |
| 83 | Groningen | 53.6 | +7.7 pts |
| 84 | Severovýchod | 53.5 | -5.7 pts |
| 85 | Overijssel | 53.2 | +2.7 pts |
| 86 | Schleswig-Holstein | 53.2 | -1.5 pts |
| 87 | Oberösterreich | 53.1 | +1.2 pts |
| 88 | Jihovýchod | 53 | -4.2 pts |
| 89 | Provence-Alpes-Côte d’Azur | 53 | -3.9 pts |
| 90 | Észak-Alföld | 52.9 | -1.9 pts |
| 91 | Közép-Dunántúl | 52.9 | -7 pts |
| 91 | Střední Čechy | 52.9 | -1.1 pts |
| 93 | Brandenburg | 52.8 | +2.9 pts |
| 94 | Friesland (NL) | 52.8 | +5.6 pts |
| 95 | Nyugat-Dunántúl | 52.7 | -0.3 pts |
| 96 | Niederbayern | 52 | +0.8 pts |
| 97 | Região Autónoma da Madeira | 51.9 | -4 pts |
| 98 | Helsinki-Uusimaa | 51.8 | +1.4 pts |
| 99 | Prov. Antwerpen | 51.7 | +2.3 pts |
| 100 | Pest | 51.7 | -3.4 pts |
| 101 | Severozapaden | 51.5 | +2.8 pts |
| 102 | Prov. Limburg (BE) | 51.4 | -2.1 pts |
| 103 | Rhône-Alpes | 51.3 | -1.4 pts |
| 104 | Podkarpackie | 51.2 | +3.4 pts |
| 105 | Zachodniopomorskie | 51.1 | -1.5 pts |
| 106 | Martinique | 50.9 | -9.7 pts |
| 107 | Sud-Est | 50.6 | -9.2 pts |
| 108 | Freiburg | 50.6 | -1.7 pts |
| 109 | Aquitaine | 50.4 | -1.1 pts |
| 110 | Prov. Vlaams-Brabant | 50.2 | +0.7 pts |
| 111 | Norra Mellansverige | 50.1 | -2.2 pts |
| 112 | Tübingen | 49.9 | +1.1 pts |
| 113 | Midi-Pyrénées | 49.5 | -2.1 pts |
| 114 | Lubuskie | 49.5 | -8 pts |
| 115 | Burgenland | 49.4 | -0.9 pts |
| 116 | Oberbayern | 49.2 | -2.1 pts |
| 117 | Mittelfranken | 48.8 | +2 pts |
| 118 | Praha | 48.5 | +2.2 pts |
| 119 | Schwaben | 48.4 | -1.2 pts |
| 120 | Região Autónoma dos Açores | 48.3 | +2.2 pts |
| 121 | Wien | 48.2 | +3.2 pts |
| 122 | Östra Mellansverige | 48.1 | -0.1 pts |
| 123 | Oberpfalz | 48.1 | -3.7 pts |
| 124 | Mecklenburg-Vorpommern | 48 | +2 pts |
| 125 | Bratislavský kraj | 47.9 | -9.4 pts |
| 126 | Oberfranken | 47.6 | +0.5 pts |
| 127 | Berlin | 47.6 | +5.3 pts |
| 128 | Sachsen-Anhalt | 47.4 | -0.8 pts |
| 129 | Wielkopolskie | 46.9 | -5.8 pts |
| 130 | Västsverige | 46.9 | +0.5 pts |
| 131 | Sydsverige | 46.7 | -1.8 pts |
| 132 | Sud-Vest Oltenia | 46.6 | -0 pts |
| 133 | Unterfranken | 46.5 | +1.7 pts |
| 134 | Centru | 46 | -8.7 pts |
| 135 | Peloponnisos | 45.9 | +3.7 pts |
| 136 | Småland med öarna | 45.7 | +1.5 pts |
| 137 | Luxembourg | 45.4 | -3.2 pts |
| 138 | Stuttgart | 45.2 | -2.4 pts |
| 139 | Saarland | 45 | +1.9 pts |
| 140 | Corse | 44.8 | -4.3 pts |
| 141 | Sud-Muntenia | 44.5 | -2.7 pts |
| 142 | Bremen | 44.5 | +6.3 pts |
| 143 | Koblenz | 44.4 | +0.3 pts |
| 144 | Karlsruhe | 44.4 | -1.6 pts |
| 145 | Norte | 44.1 | +0.8 pts |
| 146 | Kassel | 43.9 | -0.7 pts |
| 147 | Darmstadt | 43.8 | +1.6 pts |
| 148 | Trier | 43.2 | -1.8 pts |
| 149 | Severen tsentralen | 43.1 | +3.2 pts |
| 150 | Warszawski stołeczny | 43.1 | +1.6 pts |
| 151 | Nord-Vest | 42.8 | -1.7 pts |
| 152 | Gießen | 42.8 | -2.7 pts |
| 153 | Zeeland | 42.6 | +2.5 pts |
| 154 | Kýpros | 42.3 | -6.3 pts |
| 155 | Stockholm | 42.1 | -0.4 pts |
| 156 | Budapest | 41.9 | +3.1 pts |
| 157 | Vest | 41.5 | -1.6 pts |
| 158 | Anatoliki Makedonia, Thraki | 41.1 | +4.1 pts |
| 159 | Northern and Western | 40.8 | +11.8 pts |
| 160 | Ile-de-France | 40.7 | 0 pts |
| 161 | Midtjylland | 40.5 | +1 pts |
| 162 | Provincia Autonoma di Trento | 40 | +6.3 pts |
| 163 | Köln | 40 | +1.4 pts |
| 164 | Southern | 39.9 | +2.1 pts |
| 165 | Małopolskie | 39.9 | -3.2 pts |
| 166 | Detmold | 39.7 | +2 pts |
| 167 | Rheinhessen-Pfalz | 39.7 | -3.3 pts |
| 168 | Syddanmark | 39.6 | -1.2 pts |
| 169 | Notio Aigaio | 39.3 | +4.6 pts |
| 170 | Sardegna | 39.3 | -1.7 pts |
| 171 | Ionia Nisia | 39.1 | -1.8 pts |
| 172 | Nordjylland | 38.7 | -7 pts |
| 173 | Hovedstaden | 38.6 | -1.2 pts |
| 174 | Kentriki Makedonia | 38.4 | +1.2 pts |
| 175 | Abruzzo | 38.3 | 0 pts |
| 175 | Arnsberg | 38.3 | +1.5 pts |
| 177 | Severoiztochen | 38.2 | -2.4 pts |
| 178 | Attiki | 38 | +1 pts |
| 179 | Lüneburg | 37.6 | -2.1 pts |
| 180 | Dytiki Elláda | 37.4 | +1.5 pts |
| 181 | Galicia | 37.4 | +2 pts |
| 182 | Molise | 37.1 | +0.6 pts |
| 183 | Provincia Autonoma di Bolzano/Bozen | 36.8 | -3 pts |
| 184 | Sterea Elláda | 36.7 | -0.2 pts |
| 185 | Düsseldorf | 36.5 | -0.5 pts |
| 186 | Melilla | 36.4 | +19 pts |
| 187 | Thüringen | 36.3 | -13.5 pts |
| 188 | Castilla-La Mancha | 36.2 | +2.7 pts |
| 189 | Sjælland | 36.2 | -5.1 pts |
| 190 | Valle d’Aosta/Vallée d’Aoste | 36.2 | -0.7 pts |
| 191 | Asturias | 36 | -1.9 pts |
| 192 | Münster | 35.9 | -1.2 pts |
| 193 | Thessalia | 35.8 | +2.4 pts |
| 194 | Eastern and Midland | 35.6 | +9 pts |
| 195 | Basilicata | 35.5 | -2.5 pts |
| 196 | Calabria | 35.1 | -2.5 pts |
| 197 | Bucureşti-Ilfov | 35.1 | +1.2 pts |
| 198 | Marche | 34.9 | +0.8 pts |
| 199 | Kriti | 34.8 | -2.2 pts |
| 200 | Åland | 34.8 | +4.4 pts |
| 201 | Lazio | 34.5 | -1.9 pts |
| 202 | Braunschweig | 34.5 | -6.1 pts |
| 203 | Emilia-Romagna | 33.8 | -0.7 pts |
| 204 | Sicilia | 33.6 | -1.1 pts |
| 205 | Yugoiztochen | 33.5 | -1.9 pts |
| 206 | Umbria | 33.3 | -1 pts |
| 207 | Friuli-Venezia Giulia | 33.2 | +2.3 pts |
| 208 | Yuzhen tsentralen | 33.1 | -5.3 pts |
| 209 | Castile and León | 33 | +1.2 pts |
| 210 | Canary Islands | 32.9 | +1.1 pts |
| 211 | Weser-Ems | 32.7 | -4.3 pts |
| 212 | Catalonia | 32.5 | -2 pts |
| 213 | Ipeiros | 32.4 | +4 pts |
| 214 | Navarre | 32.1 | -2.7 pts |
| 215 | La Rioja | 32 | +4.8 pts |
| 216 | Piemonte | 32 | +0.6 pts |
| 217 | Dytiki Makedonia | 32 | +2.4 pts |
| 218 | Ceuta | 31.9 | +4.1 pts |
| 219 | Toscana | 31.8 | -0.6 pts |
| 220 | Veneto | 31.4 | -0.3 pts |
| 221 | Liguria | 31.2 | +0.9 pts |
| 222 | Andalusia | 31.1 | +2.2 pts |
| 223 | Lombardia | 30.8 | +0.4 pts |
| 224 | Cantabria | 30.6 | -1.8 pts |
| 225 | Puglia | 30.4 | -1.6 pts |
| 226 | Extremadura | 29.8 | +2.7 pts |
| 227 | Balearic Islands | 29.8 | -3.3 pts |
| 228 | Hannover | 29.7 | -1.6 pts |
| 229 | Valencian Community | 29.4 | -1.4 pts |
| 230 | Campania | 29.3 | -0.6 pts |
| 231 | Basque Country | 28.9 | +0.4 pts |
| 232 | Malta | 28.9 | +2.9 pts |
| 233 | Voreio Aigaio | 28 | -8.5 pts |
| 234 | Yugozapaden | 27.7 | +0.5 pts |
| 235 | Region of Murcia | 25.4 | -3.1 pts |
| 236 | Aragon | 25.2 | -4.1 pts |
| 237 | Community of Madrid | 22.7 | -1.6 pts |
Other periods
About this ranking
Deaths from [object Object] (ICD-10 V01 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).
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 2020 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, [object Object], ICD-10 V01-Y89 (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, [object Object], ICD-10 V01-Y89 (hlth_cd_asdr2) (EU regions (NUTS 2) by death rate from external causes (age-standardised), 2020) [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, [object Object], ICD-10 V01-Y89 (hlth_cd_asdr2), EU regions (NUTS 2) by death rate from external causes (age-standardised), 2020. Eurostat, European Commission, 8 June 2026, https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Invokely, https://invokely.ai/rankings/external-causes-death-rate/eu-regions?period=2020. Accessed 12 Oct. 2026.
Chicago (author-date)
Eurostat, European Commission. 2026. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V01-Y89 (hlth_cd_asdr2). EU regions (NUTS 2) by death rate from external causes (age-standardised), 2020. 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/external-causes-death-rate/eu-regions?period=2020.
Harvard
Eurostat, European Commission (2026) Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V01-Y89 (hlth_cd_asdr2), EU regions (NUTS 2) by death rate from external causes (age-standardised), 2020 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table, via Invokely: https://invokely.ai/rankings/external-causes-death-rate/eu-regions?period=2020 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2020,
author = {{Eurostat, European Commission}},
title = {{Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V01-Y89 (hlth\_cd\_asdr2): EU regions (NUTS 2) by death rate from external causes (age-standardised), 2020}},
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/external-causes-death-rate/eu-regions?period=2020. Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V01-Y89 (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, [object Object], ICD-10 V01-Y89 (hlth_cd_asdr2): EU regions (NUTS 2) by death rate from external causes (age-standardised), 2020
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/external-causes-death-rate/eu-regions?period=2020
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/external-causes-death-rate/eu-regions?period=2020.
N1 - Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V01-Y89 (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 death rate from external causes (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_external_causes","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_external_causes&level=region&within=European%20Union%20(27)&limit=10
Questions
Which region has the highest death rate from external causes (age-standardised)?
Vzhodna Slovenija, with 88.8 per 100,000 people in 2020, according to Eurostat, European Commission.
Which region has the lowest death rate from external causes (age-standardised)?
Community of Madrid, with 22.7 per 100,000 people 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, Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V01-Y89 (hlth_cd_asdr2). Retrieved 2026-10-12. 7 regions have no value for 2020 and are not ranked.
Death rate from external causes (age-standardised): other rankings
- Regions of Netherlands (NUTS 2)
- Regions of Poland (NUTS 2)
- Autonomous communities of Spain
- EU countries
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