EU regions (NUTS 2) by age-standardised death rate, all causes
Severozapaden had the highest age-standardised death rate, all causes of 233 regions in 2013, at 1,718.3 per 100,000 people. Community of Madrid had the lowest, at 751.7 per 100,000 people. The median was 1,028.7 per 100,000 people and the figure for the European Union (27) was 1,034.6 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2013
Full ranking
| Rank | Regions | 2013 | Change on 2012 |
|---|---|---|---|
| 1 | Severozapaden | 1,718.3 | -161 pts |
| 2 | Severen tsentralen | 1,705.3 | -90.8 pts |
| 3 | Yugoiztochen | 1,679.6 | -73.7 pts |
| 4 | Severoiztochen | 1,651.1 | -83.4 pts |
| 5 | Észak-Magyarország | 1,637.4 | -28.4 pts |
| 6 | Vest | 1,624.3 | -34.9 pts |
| 7 | Nord-Vest | 1,617.3 | -53.5 pts |
| 8 | Latvija | 1,567.4 | -23.6 pts |
| 9 | Dél-Dunántúl | 1,556.7 | -20.3 pts |
| 10 | Sud-Est | 1,555.4 | -47 pts |
| 11 | Sud-Muntenia | 1,550.8 | -63.5 pts |
| 12 | Közép-Dunántúl | 1,550 | -20.7 pts |
| 13 | Nord-Est | 1,549.9 | -47.2 pts |
| 14 | Sud-Vest Oltenia | 1,548.2 | -90.1 pts |
| 15 | Yuzhen tsentralen | 1,539.3 | -75 pts |
| 16 | Pest | 1,537.9 | -42.6 pts |
| 17 | Észak-Alföld | 1,531.4 | -39.6 pts |
| 18 | Yugozapaden | 1,524.4 | -69.7 pts |
| 19 | Vidurio ir vakarų Lietuvos regionas | 1,523.2 | +11.2 pts |
| 20 | Severozápad | 1,514.6 | +39.1 pts |
| 21 | Dél-Alföld | 1,514.6 | -64.2 pts |
| 22 | Nyugat-Dunántúl | 1,509.4 | -39.1 pts |
| 23 | Sostinės regionas | 1,509.2 | +35.3 pts |
| 24 | Centru | 1,494.8 | -38.7 pts |
| 25 | Stredné Slovensko | 1,471.6 | -22 pts |
| 26 | Região Autónoma dos Açores | 1,454.5 | +135.5 pts |
| 27 | Západné Slovensko | 1,449.4 | -19.5 pts |
| 28 | Łódzkie | 1,432.3 | |
| 29 | Východné Slovensko | 1,424.7 | -51.6 pts |
| 30 | Moravskoslezsko | 1,410.9 | +2.8 pts |
| 31 | Bucureşti-Ilfov | 1,394 | -84 pts |
| 32 | Śląskie | 1,390.1 | -1.8 pts |
| 33 | Lubuskie | 1,388 | +42.8 pts |
| 34 | Warmińsko-mazurskie | 1,387.5 | +44 pts |
| 35 | Střední Čechy | 1,377.7 | +2.6 pts |
| 36 | Zachodniopomorskie | 1,361.1 | +38.7 pts |
| 37 | Mazowiecki regionalny | 1,348.4 | |
| 38 | Wielkopolskie | 1,346.9 | +22.8 pts |
| 39 | Dolnośląskie | 1,344.6 | -5.2 pts |
| 40 | Kujawsko-pomorskie | 1,344.2 | -11.2 pts |
| 41 | Opolskie | 1,339.5 | -4 pts |
| 42 | Jihozápad | 1,336.7 | -3.3 pts |
| 43 | Střední Morava | 1,330.6 | +34.4 pts |
| 44 | Bratislavský kraj | 1,315.1 | +33 pts |
| 45 | Severovýchod | 1,313.1 | -0.8 pts |
| 46 | Świętokrzyskie | 1,307.8 | |
| 47 | Eesti | 1,304.5 | -12.6 pts |
| 48 | Lubelskie | 1,299.4 | |
| 49 | Budapest | 1,296.8 | -30.8 pts |
| 50 | Região Autónoma da Madeira | 1,269.3 | -76.4 pts |
| 51 | Pomorskie | 1,256.7 | -41.4 pts |
| 52 | Małopolskie | 1,238.3 | -18.5 pts |
| 53 | Jihovýchod | 1,229.1 | -27 pts |
| 54 | Podlaskie | 1,225.3 | |
| 55 | Prov. Hainaut | 1,218.5 | +1.3 pts |
| 56 | Podkarpackie | 1,190.4 | |
| 57 | Sachsen-Anhalt | 1,186.5 | +31.6 pts |
| 58 | Prov. Namur | 1,185.3 | +27.6 pts |
| 59 | Jadranska Hrvatska | 1,180.3 | -54.5 pts |
| 60 | Vzhodna Slovenija | 1,172.3 | |
| 61 | Mecklenburg-Vorpommern | 1,166.1 | +38.7 pts |
| 62 | Arnsberg | 1,161.7 | +33 pts |
| 63 | Praha | 1,155 | -20.2 pts |
| 64 | Prov. Liège | 1,153.4 | -11.2 pts |
| 65 | Saarland | 1,153.1 | +40.1 pts |
| 66 | Sjælland | 1,137.3 | -1.8 pts |
| 67 | Warszawski stołeczny | 1,136.9 | |
| 68 | Düsseldorf | 1,136.7 | +31.2 pts |
| 69 | Thüringen | 1,130.5 | +9.9 pts |
| 70 | Weser-Ems | 1,130.2 | +43 pts |
| 71 | Brandenburg | 1,129.3 | +34.5 pts |
| 72 | Ceuta | 1,127.8 | +87.1 pts |
| 73 | Lüneburg | 1,124.9 | +35 pts |
| 74 | Oberfranken | 1,123.6 | -6.7 pts |
| 75 | Bremen | 1,122.6 | +50.6 pts |
| 76 | Prov. Luxembourg (BE) | 1,121.6 | -2.3 pts |
| 77 | Oberpfalz | 1,116.9 | +4.3 pts |
| 78 | Chemnitz | 1,113.8 | +40.2 pts |
| 79 | Koblenz | 1,106.3 | +16.5 pts |
| 80 | Braunschweig | 1,106.1 | +43.5 pts |
| 81 | Nordjylland | 1,105.4 | +14.4 pts |
| 82 | Anatoliki Makedonia, Thraki | 1,104.5 | |
| 83 | Schleswig-Holstein | 1,103.8 | +33.6 pts |
| 84 | Kassel | 1,101 | +36.2 pts |
| 85 | Niederbayern | 1,096.6 | +4.4 pts |
| 86 | Southern | 1,096.3 | |
| 87 | Münster | 1,095.5 | +22.3 pts |
| 88 | Leipzig | 1,091.2 | +25.3 pts |
| 89 | Hovedstaden | 1,089.1 | -10.2 pts |
| 90 | Köln | 1,087.5 | +25.3 pts |
| 91 | Rheinhessen-Pfalz | 1,082.7 | +13.4 pts |
| 92 | Hannover | 1,078.9 | +17.5 pts |
| 93 | Gießen | 1,077.7 | +13.6 pts |
| 94 | Nord-Pas de Calais | 1,077.5 | -15 pts |
| 95 | Groningen | 1,073.1 | -19.4 pts |
| 96 | Mittelfranken | 1,067.3 | +5.7 pts |
| 97 | Syddanmark | 1,066.5 | -1.5 pts |
| 98 | Burgenland | 1,066.3 | -43.5 pts |
| 99 | Pohjois- ja Itä-Suomi | 1,062.7 | -12.5 pts |
| 100 | Trier | 1,059.5 | +37.7 pts |
| 101 | Övre Norrland | 1,058.2 | -19.8 pts |
| 102 | Mellersta Norrland | 1,056.2 | +2.9 pts |
| 103 | Overijssel | 1,056 | +39 pts |
| 104 | Niederösterreich | 1,054 | -24.5 pts |
| 105 | Unterfranken | 1,053.9 | +25.6 pts |
| 106 | Berlin | 1,049.5 | +6.9 pts |
| 107 | Algarve | 1,049.1 | -15.3 pts |
| 108 | Detmold | 1,044.5 | +15.2 pts |
| 109 | Wien | 1,041.7 | -6.7 pts |
| 110 | Hamburg | 1,039.7 | +9.1 pts |
| 111 | Midtjylland | 1,039.4 | -10 pts |
| 112 | Campania | 1,037.5 | -11.7 pts |
| 113 | Limburg (NL) | 1,037.5 | -2.3 pts |
| 114 | Etelä-Suomi | 1,035.9 | +3.9 pts |
| 115 | Flevoland | 1,033.6 | -0.8 pts |
| 116 | Dresden | 1,029.9 | +15.3 pts |
| 117 | Darmstadt | 1,028.7 | +24.7 pts |
| 118 | Melilla | 1,024.4 | -49.6 pts |
| 119 | Schwaben | 1,024.3 | +7.1 pts |
| 120 | Norte | 1,023.6 | -10.9 pts |
| 121 | Friesland (NL) | 1,023.4 | -5.2 pts |
| 122 | Noord-Brabant | 1,022.6 | +3.8 pts |
| 123 | Prov. Oost-Vlaanderen | 1,021.1 | -3.6 pts |
| 124 | Picardie | 1,021 | -4.9 pts |
| 125 | Gelderland | 1,018.5 | -10.9 pts |
| 126 | Eastern and Midland | 1,018 | |
| 127 | Kentriki Makedonia | 1,016.8 | |
| 128 | Oberösterreich | 1,015.3 | +30.9 pts |
| 129 | Northern and Western | 1,013.1 | |
| 130 | Drenthe | 1,012.2 | -20.8 pts |
| 131 | Karlsruhe | 1,009.1 | +7.3 pts |
| 132 | Norra Mellansverige | 1,007.4 | -38.6 pts |
| 133 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 1,004.7 | -41.6 pts |
| 134 | Dytiki Makedonia | 1,004.6 | |
| 135 | Dytiki Elláda | 1,004.2 | |
| 136 | Noord-Holland | 997.3 | -15.4 pts |
| 137 | Malta | 997.2 | -62.6 pts |
| 138 | Prov. Antwerpen | 993.9 | -14.3 pts |
| 139 | Ionia Nisia | 992 | |
| 140 | Zahodna Slovenija | 988 | |
| 141 | Länsi-Suomi | 983 | -20.4 pts |
| 142 | Freiburg | 982.6 | +18.9 pts |
| 143 | Stuttgart | 981.1 | +6.7 pts |
| 144 | Kärnten | 980.8 | -15.9 pts |
| 145 | Prov. West-Vlaanderen | 977.1 | +23.5 pts |
| 146 | Andalusia | 976.5 | -50.2 pts |
| 147 | Thessalia | 971.7 | |
| 148 | Helsinki-Uusimaa | 970.6 | -21.5 pts |
| 149 | La Réunion | 970.1 | -1.7 pts |
| 150 | Prov. Limburg (BE) | 969.8 | -19.4 pts |
| 151 | Attiki | 969.7 | -50.2 pts |
| 152 | Kýpros | 968.5 | -87.3 pts |
| 153 | Lorraine | 967.6 | -5.1 pts |
| 154 | Sicilia | 967.2 | -52.7 pts |
| 155 | Steiermark | 966.5 | -27.6 pts |
| 156 | Östra Mellansverige | 964.1 | -12.6 pts |
| 157 | Oberbayern | 963.4 | -1.8 pts |
| 158 | Haute-Normandie | 963 | +1.3 pts |
| 159 | Sydsverige | 959.6 | -21.5 pts |
| 160 | Prov. Vlaams-Brabant | 958.9 | +8.1 pts |
| 161 | Champagne-Ardenne | 958.7 | -3.2 pts |
| 162 | Luxembourg | 958.3 | -24.9 pts |
| 163 | Tübingen | 957.8 | -23.6 pts |
| 164 | Prov. Brabant wallon | 955.1 | -39.4 pts |
| 165 | Åland | 953.4 | -207.9 pts |
| 166 | Extremadura | 945.7 | -32.2 pts |
| 167 | Voreio Aigaio | 945.1 | -96.9 pts |
| 168 | Västsverige | 944.5 | -15.2 pts |
| 169 | Notio Aigaio | 940.5 | -71.9 pts |
| 170 | Småland med öarna | 935.9 | -23.9 pts |
| 171 | Peloponnisos | 932 | |
| 172 | Salzburg | 932 | +31.8 pts |
| 173 | Zeeland | 931.5 | +4.8 pts |
| 174 | Bretagne | 929.1 | -15.4 pts |
| 175 | Sterea Elláda | 927 | |
| 176 | Kriti | 922.8 | -70.2 pts |
| 177 | Tirol | 922.2 | -5.7 pts |
| 178 | Alsace | 921.1 | +14.6 pts |
| 179 | Vorarlberg | 921 | +17.9 pts |
| 180 | Region of Murcia | 912.7 | -72.1 pts |
| 181 | Auvergne | 911.5 | -31.8 pts |
| 182 | Piemonte | 909.2 | -19.2 pts |
| 183 | Calabria | 907.6 | -31.7 pts |
| 184 | Basse-Normandie | 905.4 | -12.9 pts |
| 185 | Liguria | 905.4 | -12.5 pts |
| 186 | Asturias | 904.9 | -38.1 pts |
| 187 | Bourgogne | 900.7 | -15.6 pts |
| 188 | Limousin | 896.6 | -5.5 pts |
| 189 | Lazio | 895.4 | -42.7 pts |
| 190 | Guyane | 895.2 | -90.2 pts |
| 191 | Canary Islands | 894.9 | -50.5 pts |
| 192 | Valencian Community | 894.8 | -50.5 pts |
| 193 | Basilicata | 892.4 | -18.9 pts |
| 194 | Puglia | 886.3 | -40.9 pts |
| 195 | Abruzzo | 886.3 | -17 pts |
| 196 | Friuli-Venezia Giulia | 884.3 | -12.2 pts |
| 197 | Poitou-Charentes | 884.2 | +6.8 pts |
| 198 | Balearic Islands | 883.5 | -56 pts |
| 199 | Stockholm | 880.6 | -20.4 pts |
| 200 | Ipeiros | 878.3 | |
| 201 | Franche-Comté | 877.1 | -18.7 pts |
| 202 | Centre - Val de Loire | 875.4 | +0.4 pts |
| 203 | Sardegna | 871.8 | -32.7 pts |
| 204 | Valle d’Aosta/Vallée d’Aoste | 868.7 | -15.9 pts |
| 205 | Molise | 859.9 | -25.5 pts |
| 206 | Galicia | 858 | -21 pts |
| 207 | Toscana | 856 | -36.3 pts |
| 208 | Languedoc-Roussillon | 855.6 | -24.9 pts |
| 209 | Corse | 854.7 | +20.6 pts |
| 210 | Lombardia | 854.3 | -32.4 pts |
| 211 | Veneto | 850.8 | -27.6 pts |
| 212 | Pays de la Loire | 846.7 | -5.1 pts |
| 213 | Aquitaine | 846.2 | -15.4 pts |
| 214 | Emilia-Romagna | 846 | -36.5 pts |
| 215 | Castilla-La Mancha | 842 | -45 pts |
| 216 | Umbria | 840.4 | -40 pts |
| 217 | Catalonia | 840.1 | -38.8 pts |
| 218 | Aragon | 838.8 | -32 pts |
| 219 | Cantabria | 835.2 | -40.2 pts |
| 220 | Provence-Alpes-Côte d’Azur | 833.6 | -18.4 pts |
| 221 | Marche | 830.3 | -23.2 pts |
| 222 | Basque Country | 824 | -33.1 pts |
| 223 | Midi-Pyrénées | 815.6 | -15.6 pts |
| 224 | Provincia Autonoma di Trento | 814.8 | +14.3 pts |
| 225 | Rhône-Alpes | 812.2 | -19.6 pts |
| 226 | Provincia Autonoma di Bolzano/Bozen | 811 | -40.3 pts |
| 227 | La Rioja | 805 | -60.3 pts |
| 228 | Martinique | 791.8 | +9.3 pts |
| 229 | Navarre | 790 | -14.7 pts |
| 230 | Castile and León | 785 | -25.7 pts |
| 231 | Ile-de-France | 777.7 | -16.5 pts |
| 232 | Guadeloupe | 771.6 | +14.9 pts |
| 233 | Community of Madrid | 751.7 | -19.6 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. 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 TOTAL (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 TOTAL (hlth_cd_asdr2) (EU regions (NUTS 2) by age-standardised death rate, all causes, 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 TOTAL (hlth_cd_asdr2), EU regions (NUTS 2) by age-standardised death rate, all causes, 2013. 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=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 TOTAL (hlth_cd_asdr2). EU regions (NUTS 2) by age-standardised death rate, all causes, 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/standardised-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 TOTAL (hlth_cd_asdr2), EU regions (NUTS 2) by age-standardised death rate, all causes, 2013 [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=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 TOTAL (hlth\_cd\_asdr2): EU regions (NUTS 2) by age-standardised death rate, all causes, 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/standardised-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 TOTAL (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 TOTAL (hlth_cd_asdr2): EU regions (NUTS 2) by age-standardised death rate, all causes, 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/standardised-death-rate/eu-regions?period=2013
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/standardised-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 TOTAL (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 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}
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Questions
Which region has the highest age-standardised death rate, all causes?
Severozapaden, with 1,718.3 per 100,000 people in 2013, according to Eurostat, European Commission.
Which region has the lowest age-standardised death rate, all causes?
Community of Madrid, with 751.7 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 TOTAL (hlth_cd_asdr2). Retrieved 2026-10-12. 11 regions have no value for 2013 and are not ranked.
Age-standardised death rate, all causes: other rankings
EU regions (NUTS 2): more rankings
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