EU regions (NUTS 2) by death rate from external causes (age-standardised)
Sostinės regionas had the highest death rate from external causes (age-standardised) of 233 regions in 2013, at 122.6 per 100,000 people. Melilla had the lowest, at 11.5 per 100,000 people. The median was 46.9 per 100,000 people and the figure for the European Union (27) was 47.9 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2013
Full ranking
| Rank | Regions | 2013 | Change on 2012 |
|---|---|---|---|
| 1 | Sostinės regionas | 122.6 | -7.8 pts |
| 2 | Vidurio ir vakarų Lietuvos regionas | 119.3 | +1.3 pts |
| 3 | Latvija | 90.9 | -2 pts |
| 4 | Prov. Namur | 90.5 | -2.1 pts |
| 5 | Prov. Liège | 86.8 | -2.6 pts |
| 6 | Prov. Luxembourg (BE) | 85.1 | +5.2 pts |
| 7 | Mazowiecki regionalny | 84.9 | |
| 8 | Vzhodna Slovenija | 82.4 | |
| 9 | Észak-Magyarország | 80.8 | -2 pts |
| 10 | Stredné Slovensko | 79.6 | 0 pts |
| 11 | Eesti | 77.4 | -12.5 pts |
| 12 | Pohjois- ja Itä-Suomi | 77 | -1 pts |
| 13 | Prov. Hainaut | 75.9 | -10.2 pts |
| 14 | Dél-Alföld | 75.7 | -5.3 pts |
| 15 | Bretagne | 75 | -2.1 pts |
| 16 | Łódzkie | 73.9 | |
| 17 | Západné Slovensko | 71.9 | -11.4 pts |
| 18 | Zahodna Slovenija | 70.6 | |
| 19 | Etelä-Suomi | 69.3 | +0.9 pts |
| 20 | Länsi-Suomi | 69 | -0 pts |
| 21 | Śląskie | 69 | -2.1 pts |
| 22 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 68.4 | -2 pts |
| 23 | Nord-Pas de Calais | 67.8 | -6 pts |
| 24 | Poitou-Charentes | 67.7 | +4.3 pts |
| 25 | Nord-Est | 67.6 | -3.1 pts |
| 26 | Podlaskie | 66.9 | |
| 27 | Bratislavský kraj | 66.8 | 0 pts |
| 28 | Východné Slovensko | 66.6 | +1.7 pts |
| 29 | Észak-Alföld | 66.3 | -10.5 pts |
| 30 | Pomorskie | 66.1 | -1.6 pts |
| 31 | Lubelskie | 66.1 | |
| 32 | Střední Morava | 65.8 | +1.4 pts |
| 33 | Basse-Normandie | 65.7 | -4.3 pts |
| 34 | Dél-Dunántúl | 65.3 | -1 pts |
| 35 | Picardie | 65.1 | +0.8 pts |
| 36 | Zachodniopomorskie | 64.9 | -0.7 pts |
| 37 | Warmińsko-mazurskie | 64.8 | -8 pts |
| 38 | Pest | 64.3 | -6.1 pts |
| 39 | Luxembourg | 64.2 | +4.3 pts |
| 40 | Mellersta Norrland | 64.2 | +12.4 pts |
| 41 | Kärnten | 64 | -0.9 pts |
| 42 | Champagne-Ardenne | 63.8 | -1.7 pts |
| 43 | Lubuskie | 63.8 | -0.6 pts |
| 44 | Střední Čechy | 63.4 | +1.3 pts |
| 45 | Franche-Comté | 63.2 | -5.4 pts |
| 46 | Severozápad | 63.2 | -10.4 pts |
| 47 | Moravskoslezsko | 63.2 | -4 pts |
| 48 | Corse | 63.1 | +12.6 pts |
| 49 | Prov. Brabant wallon | 63 | -2.3 pts |
| 50 | Dolnośląskie | 62.8 | +3.6 pts |
| 51 | Limousin | 62.7 | -4.1 pts |
| 52 | Świętokrzyskie | 62.1 | |
| 53 | Languedoc-Roussillon | 62 | -1 pts |
| 54 | Bourgogne | 61.8 | -0.3 pts |
| 55 | Auvergne | 61.8 | -3 pts |
| 55 | Jadranska Hrvatska | 61.8 | -4.3 pts |
| 57 | Pays de la Loire | 61 | -0.3 pts |
| 58 | Severovýchod | 60.4 | -3.7 pts |
| 59 | Hamburg | 60.2 | +4.6 pts |
| 60 | Jihozápad | 59.7 | -3.3 pts |
| 61 | Prov. West-Vlaanderen | 59.4 | +2.9 pts |
| 62 | Közép-Dunántúl | 59.4 | -5.1 pts |
| 63 | Chemnitz | 59.3 | +5.1 pts |
| 64 | Prov. Vlaams-Brabant | 58.9 | +1.1 pts |
| 65 | Warszawski stołeczny | 58.8 | |
| 66 | Nyugat-Dunántúl | 58.6 | -7.1 pts |
| 67 | Jihovýchod | 58.4 | +1.3 pts |
| 68 | Haute-Normandie | 58.2 | +0.5 pts |
| 69 | Provence-Alpes-Côte d’Azur | 58.1 | -1 pts |
| 70 | Budapest | 57.9 | -0.4 pts |
| 71 | Helsinki-Uusimaa | 57.4 | -5.7 pts |
| 72 | Leipzig | 57.2 | +2.1 pts |
| 73 | Sud-Est | 56.9 | -3.6 pts |
| 74 | Wielkopolskie | 56.8 | -3.5 pts |
| 75 | Aquitaine | 56.7 | -4.5 pts |
| 76 | Salzburg | 56.4 | -6.6 pts |
| 77 | Centre - Val de Loire | 56.2 | -4.9 pts |
| 78 | Småland med öarna | 56 | +6.5 pts |
| 79 | Prov. Oost-Vlaanderen | 55.8 | -4.4 pts |
| 80 | Kujawsko-pomorskie | 55.7 | -5.8 pts |
| 81 | Oberösterreich | 55.6 | +1.6 pts |
| 82 | Alsace | 55.3 | +2.2 pts |
| 83 | Guyane | 55.1 | -31.6 pts |
| 84 | Guadeloupe | 55.1 | -10.1 pts |
| 85 | Małopolskie | 54.9 | -6.7 pts |
| 86 | La Réunion | 54.7 | -0.7 pts |
| 87 | Centru | 54.5 | -3.7 pts |
| 88 | Övre Norrland | 54.4 | -2.4 pts |
| 89 | Rhône-Alpes | 54.1 | -1.4 pts |
| 90 | Niederösterreich | 53.8 | -4.7 pts |
| 91 | Lorraine | 53.8 | -6.5 pts |
| 92 | Thüringen | 53.6 | -3.3 pts |
| 93 | Östra Mellansverige | 53.5 | -0 pts |
| 94 | Steiermark | 53.2 | +1.5 pts |
| 95 | Vorarlberg | 53.1 | +4.7 pts |
| 96 | Prov. Antwerpen | 52.8 | -3.1 pts |
| 97 | Opolskie | 52.6 | +2.7 pts |
| 98 | Freiburg | 52.5 | -3.9 pts |
| 99 | Tirol | 52.1 | -8.7 pts |
| 100 | Nord-Vest | 52 | -2.8 pts |
| 101 | Norra Mellansverige | 51.9 | -0.3 pts |
| 102 | Podkarpackie | 51.9 | |
| 103 | Midi-Pyrénées | 51.4 | -3.6 pts |
| 104 | Sud-Vest Oltenia | 51.3 | -3.4 pts |
| 105 | Tübingen | 49.6 | +0.1 pts |
| 106 | Sachsen-Anhalt | 49 | +2.6 pts |
| 107 | Prov. Limburg (BE) | 48.8 | -0.4 pts |
| 108 | Algarve | 48.3 | +3.5 pts |
| 109 | Noord-Holland | 48.1 | -2.9 pts |
| 110 | Região Autónoma da Madeira | 48 | +1.5 pts |
| 111 | Groningen | 47.4 | +6.3 pts |
| 112 | Västsverige | 47.3 | +4 pts |
| 113 | Stockholm | 47.3 | -3.3 pts |
| 114 | Sud-Muntenia | 47 | -3.6 pts |
| 115 | Praha | 47 | -3.1 pts |
| 116 | Mecklenburg-Vorpommern | 46.9 | +4 pts |
| 117 | Sydsverige | 46.9 | +2.6 pts |
| 118 | Flevoland | 46.7 | -1.4 pts |
| 119 | Gelderland | 46.2 | -0.7 pts |
| 120 | Wien | 46.1 | -1 pts |
| 121 | Drenthe | 45.5 | +1.1 pts |
| 122 | Stuttgart | 45.4 | +3.5 pts |
| 123 | Burgenland | 45.4 | -6.5 pts |
| 124 | Dresden | 45.4 | +1.4 pts |
| 125 | Brandenburg | 45.3 | +6.4 pts |
| 126 | Overijssel | 45 | -2 pts |
| 127 | Lüneburg | 44.8 | +2.2 pts |
| 128 | Vest | 44.7 | -3.2 pts |
| 129 | Sardegna | 44.6 | +0.6 pts |
| 130 | Friesland (NL) | 44.6 | +8.4 pts |
| 131 | Cantabria | 44.3 | +0.9 pts |
| 132 | Severen tsentralen | 44.2 | -4.2 pts |
| 133 | Martinique | 44.2 | +8.4 pts |
| 134 | Kýpros | 44.1 | +3 pts |
| 135 | Região Autónoma dos Açores | 43.8 | -2 pts |
| 136 | Syddanmark | 43.1 | -1.1 pts |
| 137 | Sjælland | 43 | -3 pts |
| 138 | Karlsruhe | 42.6 | +2.7 pts |
| 139 | Noord-Brabant | 42.5 | +0.2 pts |
| 140 | Severozapaden | 42.4 | -2.8 pts |
| 141 | Valle d’Aosta/Vallée d’Aoste | 42.3 | +7.1 pts |
| 142 | Åland | 42.2 | -44.4 pts |
| 143 | Limburg (NL) | 41.4 | -1.5 pts |
| 144 | Severoiztochen | 41.4 | -3.9 pts |
| 145 | Ile-de-France | 41.3 | +0.5 pts |
| 146 | Niederbayern | 41.3 | +3.5 pts |
| 147 | Darmstadt | 40.9 | +0.7 pts |
| 148 | Abruzzo | 40.8 | -1 pts |
| 149 | Asturias | 40.7 | +1.5 pts |
| 150 | Nordjylland | 40.3 | -4.9 pts |
| 151 | Koblenz | 40.2 | +4.7 pts |
| 152 | Yuzhen tsentralen | 39.9 | -2.7 pts |
| 153 | Hovedstaden | 39.8 | +3.7 pts |
| 154 | Northern and Western | 39.8 | |
| 155 | Saarland | 39.7 | -1.4 pts |
| 156 | Southern | 39.5 | |
| 157 | Rheinhessen-Pfalz | 39.3 | +5.6 pts |
| 158 | Oberpfalz | 39.1 | +1.1 pts |
| 159 | Ionia Nisia | 39.1 | |
| 159 | Weser-Ems | 39.1 | +0.8 pts |
| 161 | Berlin | 38.9 | +2 pts |
| 162 | Hannover | 38.6 | -0.8 pts |
| 163 | Marche | 38.2 | -0.4 pts |
| 163 | Oberfranken | 38.2 | +2.4 pts |
| 165 | Dytiki Elláda | 38.1 | |
| 166 | Kassel | 38 | -5.5 pts |
| 167 | Gießen | 37.9 | -7.3 pts |
| 168 | Zeeland | 37.7 | +2.6 pts |
| 169 | Puglia | 37.5 | +0.4 pts |
| 170 | Castilla-La Mancha | 37.4 | +0.9 pts |
| 171 | Arnsberg | 37.3 | +3.3 pts |
| 172 | Düsseldorf | 37.3 | +1.2 pts |
| 173 | Braunschweig | 37.2 | -5.6 pts |
| 174 | Trier | 37.2 | -0.6 pts |
| 175 | Midtjylland | 37 | -6.2 pts |
| 176 | Lazio | 37 | -2.4 pts |
| 177 | Schwaben | 36.9 | +0.3 pts |
| 178 | Köln | 36.9 | +1.2 pts |
| 179 | Provincia Autonoma di Bolzano/Bozen | 36.8 | -8 pts |
| 180 | Yugoiztochen | 36.6 | -8.7 pts |
| 181 | Basilicata | 36.4 | -6.6 pts |
| 181 | Bucureşti-Ilfov | 36.4 | -2.2 pts |
| 183 | Calabria | 36.4 | -2.4 pts |
| 184 | Friuli-Venezia Giulia | 36.2 | -1 pts |
| 185 | Catalonia | 36 | +2.5 pts |
| 186 | Liguria | 35.8 | -0 pts |
| 187 | Detmold | 35.7 | +1.3 pts |
| 188 | Eastern and Midland | 35.3 | |
| 189 | Galicia | 35.1 | +1.5 pts |
| 190 | Sicilia | 35.1 | -2.1 pts |
| 191 | Molise | 34.8 | -4.9 pts |
| 192 | Piemonte | 34.6 | +0.1 pts |
| 193 | Norte | 34.4 | +1.2 pts |
| 194 | Peloponnisos | 34.3 | |
| 195 | Emilia-Romagna | 34 | -2.6 pts |
| 196 | Toscana | 34 | -1.8 pts |
| 197 | Oberbayern | 33.9 | -1.2 pts |
| 198 | Unterfranken | 33.8 | +0.8 pts |
| 199 | Mittelfranken | 33.7 | +2.8 pts |
| 200 | Umbria | 33.7 | -3 pts |
| 201 | Balearic Islands | 33.4 | +1.2 pts |
| 202 | Thessalia | 33.3 | |
| 203 | Münster | 33.2 | -0.2 pts |
| 204 | Navarre | 33.1 | +0.7 pts |
| 205 | Campania | 33 | +0.1 pts |
| 206 | Schleswig-Holstein | 32.2 | +2.9 pts |
| 207 | Veneto | 32 | -1.5 pts |
| 208 | Kriti | 32 | +0.9 pts |
| 209 | La Rioja | 31.6 | +0.7 pts |
| 210 | Canary Islands | 31.6 | +0.9 pts |
| 211 | Basque Country | 31.5 | +1.1 pts |
| 212 | Provincia Autonoma di Trento | 31.5 | +0.7 pts |
| 213 | Voreio Aigaio | 31.5 | +3.7 pts |
| 214 | Lombardia | 31.5 | -1.3 pts |
| 215 | Castile and León | 31.4 | +1.8 pts |
| 216 | Yugozapaden | 30.6 | -3.6 pts |
| 217 | Andalusia | 30.3 | -0.5 pts |
| 218 | Attiki | 30 | +0.4 pts |
| 219 | Malta | 29.3 | -0.3 pts |
| 220 | Ipeiros | 28.6 | |
| 221 | Notio Aigaio | 28.3 | -5.1 pts |
| 222 | Sterea Elláda | 27.5 | |
| 223 | Bremen | 27 | -3.2 pts |
| 224 | Aragon | 26.7 | +0.6 pts |
| 224 | Valencian Community | 26.7 | -1.5 pts |
| 226 | Anatoliki Makedonia, Thraki | 26.3 | |
| 227 | Region of Murcia | 26.2 | -3.6 pts |
| 228 | Ceuta | 24.5 | +1.8 pts |
| 229 | Extremadura | 23.9 | -3.6 pts |
| 230 | Kentriki Makedonia | 23.5 | |
| 231 | Community of Madrid | 21.7 | +6.1 pts |
| 232 | Dytiki Makedonia | 20.1 | |
| 233 | Melilla | 11.5 | -11.2 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. 11 regions with data in other periods have no value for 2013 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), 2013) [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), 2013. 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=2013. 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), 2013. 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=2013.
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), 2013 [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=2013 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2013,
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), 2013}},
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=2013. 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), 2013
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=2013
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/external-causes-death-rate/eu-regions?period=2013.
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
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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)?
Sostinės regionas, with 122.6 per 100,000 people in 2013, according to Eurostat, European Commission.
Which region has the lowest death rate from external causes (age-standardised)?
Melilla, with 11.5 per 100,000 people in 2013.
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. 11 regions have no value for 2013 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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