EU regions (NUTS 2) by diabetes death rate (age-standardised)
Região Autónoma dos Açores had the highest diabetes death rate (age-standardised) of 233 regions in 2013, at 92.9 per 100,000 people. Nord-Vest had the lowest, at 5 per 100,000 people. The median was 22.7 per 100,000 people and the figure for the European Union (27) was 24.6 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2013
Full ranking
| Rank | Regions | 2013 | Change on 2012 |
|---|---|---|---|
| 1 | Região Autónoma dos Açores | 92.9 | +27.6 pts |
| 2 | Kýpros | 71.1 | +0.4 pts |
| 3 | Canary Islands | 69.8 | -8.6 pts |
| 4 | Melilla | 62.1 | +21.9 pts |
| 5 | Região Autónoma da Madeira | 60.6 | -4.5 pts |
| 6 | Severozápad | 56.3 | +26.2 pts |
| 7 | Ceuta | 55 | -10.6 pts |
| 8 | Campania | 54.9 | +0.9 pts |
| 9 | Burgenland | 54.5 | -12.4 pts |
| 10 | Střední Čechy | 52.8 | +21.3 pts |
| 11 | La Réunion | 52.6 | -2.8 pts |
| 12 | Sachsen-Anhalt | 52.5 | +4.9 pts |
| 13 | Jihozápad | 51.5 | +14.3 pts |
| 14 | Sicilia | 50.9 | -4.8 pts |
| 15 | Saarland | 49 | +6.4 pts |
| 16 | Dél-Dunántúl | 48.7 | -3 pts |
| 17 | Thüringen | 48.7 | -1.6 pts |
| 18 | Severovýchod | 48.1 | +19 pts |
| 19 | Warmińsko-mazurskie | 45.6 | +4.9 pts |
| 20 | Kassel | 45.6 | -6.3 pts |
| 21 | Severoiztochen | 45.4 | -4.4 pts |
| 22 | Calabria | 45.1 | -3.3 pts |
| 23 | Niederösterreich | 45.1 | -3.6 pts |
| 24 | Guyane | 44.4 | +2 pts |
| 25 | Norte | 43.7 | -1.5 pts |
| 26 | Moravskoslezsko | 43.3 | +11.5 pts |
| 27 | Jihovýchod | 42.7 | +19.3 pts |
| 28 | Basilicata | 42.5 | +3.4 pts |
| 29 | Puglia | 41.8 | -2.5 pts |
| 30 | Gießen | 41.4 | -7 pts |
| 31 | Lubuskie | 40.8 | +7.1 pts |
| 32 | Közép-Dunántúl | 39.6 | -12.2 pts |
| 33 | Střední Morava | 39.1 | +19.6 pts |
| 34 | Chemnitz | 38.7 | +2.3 pts |
| 35 | Steiermark | 38.4 | -1.3 pts |
| 36 | Martinique | 37.6 | +14.7 pts |
| 37 | Kärnten | 37.5 | +0.1 pts |
| 38 | Oberpfalz | 37 | -2.6 pts |
| 39 | Rheinhessen-Pfalz | 36.7 | +4.9 pts |
| 40 | Śląskie | 36.5 | -0.1 pts |
| 41 | Unterfranken | 36.2 | +3.1 pts |
| 42 | Wielkopolskie | 36.1 | +6 pts |
| 43 | Oberfranken | 35.6 | -3.2 pts |
| 44 | Praha | 35.4 | +19.1 pts |
| 45 | Algarve | 35.1 | +1.1 pts |
| 46 | Niederbayern | 34.8 | -1.6 pts |
| 47 | Mecklenburg-Vorpommern | 34.5 | +6.3 pts |
| 48 | Darmstadt | 33.9 | -1 pts |
| 49 | Berlin | 33.9 | 0 pts |
| 50 | Brandenburg | 33.9 | -1.2 pts |
| 51 | Pomorskie | 33.6 | +1.6 pts |
| 52 | Wien | 33.1 | +1.4 pts |
| 53 | Sjælland | 33 | +0.8 pts |
| 54 | Guadeloupe | 32.6 | +1.9 pts |
| 55 | Oberösterreich | 32.4 | -3.6 pts |
| 56 | Molise | 32.3 | +1.2 pts |
| 57 | Lazio | 32.1 | -0.4 pts |
| 58 | Stuttgart | 31.9 | +1.7 pts |
| 59 | Opolskie | 31.9 | +1.4 pts |
| 60 | Weser-Ems | 31.6 | +0.6 pts |
| 61 | Nyugat-Dunántúl | 31.5 | -3.8 pts |
| 62 | Tübingen | 31.4 | -1.1 pts |
| 63 | Leipzig | 31.2 | +1.5 pts |
| 64 | Mittelfranken | 31.1 | -1.1 pts |
| 65 | Freiburg | 31.1 | -1.5 pts |
| 66 | Malta | 31 | +19.9 pts |
| 67 | Koblenz | 30.7 | -3.8 pts |
| 68 | Dél-Alföld | 30.3 | -3.1 pts |
| 69 | Schwaben | 30 | -3.8 pts |
| 70 | Abruzzo | 29.6 | -2.7 pts |
| 71 | Karlsruhe | 29.5 | +0.3 pts |
| 72 | Trier | 29.4 | -0.3 pts |
| 73 | Tirol | 28.9 | -1.7 pts |
| 74 | Castilla-La Mancha | 28.8 | -0.3 pts |
| 75 | Region of Murcia | 28.6 | +4.4 pts |
| 76 | Flevoland | 28.5 | +6 pts |
| 77 | Hovedstaden | 28.5 | +0.9 pts |
| 78 | Mellersta Norrland | 28.4 | +2.4 pts |
| 79 | Liguria | 28.2 | -1 pts |
| 80 | Jadranska Hrvatska | 28.1 | -3.8 pts |
| 81 | Midtjylland | 27.6 | +0.5 pts |
| 82 | Lüneburg | 27.5 | -0.2 pts |
| 83 | Dresden | 27.4 | -0.2 pts |
| 83 | Salzburg | 27.4 | -0.1 pts |
| 85 | Dolnośląskie | 27.3 | -7 pts |
| 86 | Toscana | 27.3 | -1 pts |
| 87 | Mazowiecki regionalny | 27.2 | |
| 88 | Pest | 27 | -3.1 pts |
| 89 | Észak-Magyarország | 26.9 | -3.8 pts |
| 90 | Overijssel | 26.8 | +2.3 pts |
| 91 | Balearic Islands | 26.6 | +1.6 pts |
| 92 | Braunschweig | 26.6 | 0 pts |
| 93 | Vorarlberg | 26.2 | -6.4 pts |
| 94 | Hannover | 26.1 | -0.3 pts |
| 95 | Groningen | 26.1 | +2.2 pts |
| 96 | Champagne-Ardenne | 25.2 | +1.6 pts |
| 97 | Piemonte | 25.1 | -0.1 pts |
| 98 | Oberbayern | 25 | -1.7 pts |
| 99 | Veneto | 25 | -0.4 pts |
| 100 | Latvija | 24.9 | +0.2 pts |
| 100 | Nord-Pas de Calais | 24.9 | +0.2 pts |
| 102 | Friesland (NL) | 24.8 | +3.3 pts |
| 103 | Norra Mellansverige | 24.8 | +1.8 pts |
| 104 | Nordjylland | 24.6 | +0.3 pts |
| 105 | Southern | 24.2 | |
| 106 | Syddanmark | 24.1 | -3.1 pts |
| 107 | Övre Norrland | 23.9 | +1.8 pts |
| 108 | Podlaskie | 23.5 | |
| 109 | Sardegna | 23.2 | -4.5 pts |
| 110 | Aragon | 23.1 | -0.9 pts |
| 111 | Northern and Western | 23.1 | |
| 112 | Västsverige | 22.9 | +0.9 pts |
| 113 | Yugozapaden | 22.8 | -5.7 pts |
| 114 | Lubelskie | 22.8 | |
| 115 | Észak-Alföld | 22.8 | +0.2 pts |
| 116 | Picardie | 22.8 | -1.7 pts |
| 117 | Castile and León | 22.7 | -2.6 pts |
| 118 | Emilia-Romagna | 22.7 | -1.9 pts |
| 119 | Bourgogne | 22.6 | +1.2 pts |
| 120 | Marche | 22.5 | -0.2 pts |
| 121 | Småland med öarna | 22.5 | -2 pts |
| 122 | Alsace | 22.1 | +1.1 pts |
| 123 | Friuli-Venezia Giulia | 22 | -0.7 pts |
| 124 | Noord-Holland | 21.9 | +1.2 pts |
| 125 | Západné Slovensko | 21.9 | -4.9 pts |
| 126 | Valencian Community | 21.8 | -1.6 pts |
| 127 | Umbria | 21.4 | -5.3 pts |
| 128 | Östra Mellansverige | 21.2 | +0.2 pts |
| 129 | Budapest | 21.1 | -1.3 pts |
| 130 | Luxembourg | 21 | +5.9 pts |
| 131 | Basque Country | 20.9 | +1.3 pts |
| 132 | Provincia Autonoma di Trento | 20.9 | -0.2 pts |
| 133 | Lombardia | 20.8 | -0.5 pts |
| 134 | Sydsverige | 20.6 | +1 pts |
| 135 | Hamburg | 20.5 | +2.7 pts |
| 136 | Východné Slovensko | 20.3 | -11.6 pts |
| 137 | Asturias | 20.2 | -2.9 pts |
| 138 | Auvergne | 20.1 | +0.7 pts |
| 139 | Centru | 20 | -0.5 pts |
| 140 | Bratislavský kraj | 19.9 | +1.6 pts |
| 141 | Centre - Val de Loire | 19.9 | +0.8 pts |
| 142 | Haute-Normandie | 19.8 | +1.1 pts |
| 143 | Lorraine | 19.8 | -2.7 pts |
| 144 | Stredné Slovensko | 19.7 | -1 pts |
| 145 | Gelderland | 19.7 | -0.3 pts |
| 146 | Andalusia | 19.5 | -2.6 pts |
| 147 | Franche-Comté | 19.5 | +0.4 pts |
| 148 | La Rioja | 19.3 | +3.1 pts |
| 149 | Noord-Brabant | 19.3 | +0.4 pts |
| 150 | Zachodniopomorskie | 19.2 | -1.6 pts |
| 151 | Prov. Hainaut | 19.2 | -3.3 pts |
| 152 | Languedoc-Roussillon | 19 | -1 pts |
| 153 | Vzhodna Slovenija | 19 | |
| 154 | Łódzkie | 18.9 | |
| 155 | Arnsberg | 18.7 | +1.8 pts |
| 156 | Limousin | 18.6 | -2.7 pts |
| 157 | Catalonia | 18.3 | -1 pts |
| 158 | Anatoliki Makedonia, Thraki | 18.1 | |
| 159 | Bremen | 18.1 | -1.8 pts |
| 160 | Limburg (NL) | 18 | +1.6 pts |
| 161 | Prov. Oost-Vlaanderen | 17.9 | +0.2 pts |
| 162 | Sud-Est | 17.7 | +0.5 pts |
| 163 | Aquitaine | 17.6 | +0.4 pts |
| 164 | Detmold | 17.6 | -0.6 pts |
| 165 | Drenthe | 17.5 | -1.9 pts |
| 166 | Eastern and Midland | 17.4 | |
| 167 | Extremadura | 17.3 | -4.9 pts |
| 168 | Zahodna Slovenija | 17.3 | |
| 169 | Zeeland | 17.2 | -3.8 pts |
| 170 | Düsseldorf | 16.9 | -1.6 pts |
| 171 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 16.3 | -1.3 pts |
| 172 | Poitou-Charentes | 16.3 | -0.6 pts |
| 173 | Prov. Namur | 16 | -3.3 pts |
| 174 | Köln | 16 | -1.8 pts |
| 175 | Kentriki Makedonia | 15.9 | |
| 176 | Provence-Alpes-Côte d’Azur | 15.8 | +0.1 pts |
| 177 | Nord-Est | 15.8 | +0.8 pts |
| 178 | Warszawski stołeczny | 15.8 | |
| 179 | Rhône-Alpes | 15.8 | -1.2 pts |
| 180 | Prov. Vlaams-Brabant | 15.7 | +1.3 pts |
| 181 | Kujawsko-pomorskie | 15.7 | -2.9 pts |
| 182 | Prov. Luxembourg (BE) | 15.6 | -5.4 pts |
| 183 | Corse | 15.5 | -4.2 pts |
| 184 | Midi-Pyrénées | 15.4 | -0.8 pts |
| 185 | Münster | 15.3 | -0.8 pts |
| 186 | Prov. West-Vlaanderen | 15.2 | +2.5 pts |
| 187 | Prov. Liège | 15.1 | -3.6 pts |
| 188 | Severen tsentralen | 15 | -12.6 pts |
| 189 | Małopolskie | 14.9 | +2.2 pts |
| 190 | Severozapaden | 14.8 | -10.3 pts |
| 191 | Yuzhen tsentralen | 14.8 | +5.7 pts |
| 192 | Ile-de-France | 14.7 | +0.6 pts |
| 193 | Valle d’Aosta/Vallée d’Aoste | 14.4 | -8.7 pts |
| 194 | Pays de la Loire | 14.3 | -0.4 pts |
| 195 | Basse-Normandie | 14 | -2.3 pts |
| 196 | Stockholm | 13.8 | -2.4 pts |
| 197 | Ionia Nisia | 13.7 | |
| 198 | Sud-Muntenia | 13.7 | +0.6 pts |
| 199 | Podkarpackie | 13.6 | |
| 200 | Schleswig-Holstein | 13.4 | -1.4 pts |
| 201 | Navarre | 13.4 | -2.3 pts |
| 202 | Dytiki Makedonia | 12.9 | |
| 203 | Community of Madrid | 12.7 | -1.8 pts |
| 204 | Prov. Antwerpen | 12.7 | -1.1 pts |
| 205 | Thessalia | 12.3 | |
| 206 | Eesti | 12 | +1.8 pts |
| 207 | Prov. Brabant wallon | 12 | -3.1 pts |
| 208 | Bretagne | 11.8 | -0.9 pts |
| 209 | Provincia Autonoma di Bolzano/Bozen | 11.6 | +2.1 pts |
| 210 | Etelä-Suomi | 11.6 | +2 pts |
| 211 | Prov. Limburg (BE) | 11.5 | -2.3 pts |
| 212 | Voreio Aigaio | 11.5 | +5.8 pts |
| 213 | Notio Aigaio | 11.5 | -1.3 pts |
| 214 | Świętokrzyskie | 11.5 | |
| 215 | Sterea Elláda | 11.3 | |
| 216 | Kriti | 11.1 | +2.6 pts |
| 217 | Sostinės regionas | 11.1 | +0.9 pts |
| 218 | Vidurio ir vakarų Lietuvos regionas | 10.8 | -0.8 pts |
| 219 | Vest | 10.7 | -2.4 pts |
| 220 | Dytiki Elláda | 10.6 | |
| 221 | Peloponnisos | 10.2 | |
| 222 | Galicia | 10.2 | -0.7 pts |
| 223 | Ipeiros | 9.9 | |
| 224 | Attiki | 9.6 | 0 pts |
| 225 | Sud-Vest Oltenia | 9.2 | -1 pts |
| 226 | Helsinki-Uusimaa | 8.7 | -1.7 pts |
| 226 | Pohjois- ja Itä-Suomi | 8.7 | -0.6 pts |
| 228 | Länsi-Suomi | 8.1 | -0.9 pts |
| 229 | Yugoiztochen | 7.8 | -3 pts |
| 230 | Åland | 6.6 | +2.4 pts |
| 231 | Cantabria | 6.1 | -1.2 pts |
| 232 | Bucureşti-Ilfov | 5.4 | -1.7 pts |
| 233 | Nord-Vest | 5 | -1.5 pts |
Other periods
About this ranking
Deaths from [object Object] (ICD-10 E10 to E14) 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 E10-E14 (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 E10-E14 (hlth_cd_asdr2) (EU regions (NUTS 2) by diabetes death rate (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 E10-E14 (hlth_cd_asdr2), EU regions (NUTS 2) by diabetes death rate (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/diabetes-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 E10-E14 (hlth_cd_asdr2). EU regions (NUTS 2) by diabetes death rate (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/diabetes-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 E10-E14 (hlth_cd_asdr2), EU regions (NUTS 2) by diabetes death rate (age-standardised), 2013 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table, via Invokely: https://invokely.ai/rankings/diabetes-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 E10-E14 (hlth\_cd\_asdr2): EU regions (NUTS 2) by diabetes death rate (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/diabetes-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 E10-E14 (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 E10-E14 (hlth_cd_asdr2): EU regions (NUTS 2) by diabetes death rate (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/diabetes-death-rate/eu-regions?period=2013
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/diabetes-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 E10-E14 (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 diabetes death rate (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_diabetes","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_diabetes&level=region&within=European%20Union%20(27)&limit=10Questions
Which region has the highest diabetes death rate (age-standardised)?
Região Autónoma dos Açores, with 92.9 per 100,000 people in 2013, according to Eurostat, European Commission.
Which region has the lowest diabetes death rate (age-standardised)?
Nord-Vest, with 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 E10-E14 (hlth_cd_asdr2). Retrieved 2026-10-12. 11 regions have no value for 2013 and are not ranked.