EU regions (NUTS 2) by diabetes death rate (age-standardised)
Panonska Hrvatska had the highest diabetes death rate (age-standardised) of 237 regions in 2020, at 151.9 per 100,000 people. Sud-Vest Oltenia had the lowest, at 6.6 per 100,000 people. The median was 23.9 per 100,000 people and the figure for the European Union (27) was 26.2 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2020
Full ranking
| Rank | Regions | 2020 | Change on 2019 |
|---|---|---|---|
| 1 | Panonska Hrvatska | 151.9 | |
| 2 | Sjeverna Hrvatska | 100.7 | |
| 3 | Jadranska Hrvatska | 98.2 | +15 pts |
| 4 | Grad Zagreb | 96.2 | |
| 5 | Mayotte | 91.3 | +11.4 pts |
| 6 | Severozápad | 75.8 | +23.5 pts |
| 7 | Střední Čechy | 63.3 | +10.9 pts |
| 8 | Moravskoslezsko | 63 | +8.8 pts |
| 9 | Região Autónoma dos Açores | 60.5 | -5.2 pts |
| 10 | Kýpros | 59.7 | +3.5 pts |
| 11 | Dél-Dunántúl | 59.7 | +6.1 pts |
| 12 | Közép-Dunántúl | 59.4 | +6.3 pts |
| 13 | Střední Morava | 58.1 | +12.5 pts |
| 14 | Melilla | 56.7 | +21.6 pts |
| 15 | Malta | 55.3 | +8 pts |
| 16 | Campania | 55.3 | +4.6 pts |
| 17 | Jihozápad | 55.3 | +4.2 pts |
| 18 | Sicilia | 51.8 | +5 pts |
| 19 | Észak-Magyarország | 49 | +6.5 pts |
| 20 | Warmińsko-mazurskie | 48.7 | +5.6 pts |
| 21 | Calabria | 48.6 | +2 pts |
| 22 | Pomorskie | 48.4 | +9.4 pts |
| 23 | Sud-Muntenia | 48.3 | +16.7 pts |
| 24 | Lubuskie | 48.1 | +10.6 pts |
| 25 | Ceuta | 46.9 | +26.9 pts |
| 26 | Severovýchod | 46.3 | +3.3 pts |
| 27 | La Réunion | 46.2 | -0.1 pts |
| 28 | Śląskie | 44.7 | +6.3 pts |
| 29 | Região Autónoma da Madeira | 44.6 | -10.1 pts |
| 30 | Opolskie | 44.5 | +5 pts |
| 31 | Puglia | 42.6 | +6 pts |
| 32 | Basilicata | 42.5 | +6.2 pts |
| 33 | Wielkopolskie | 42.4 | +8.8 pts |
| 34 | Martinique | 40.7 | +6.4 pts |
| 35 | Niederösterreich | 40.5 | +3.7 pts |
| 35 | Severozapaden | 40.5 | +10.6 pts |
| 37 | Sachsen-Anhalt | 40.3 | +2.7 pts |
| 38 | Jihovýchod | 40.1 | -2.1 pts |
| 39 | Thüringen | 38.9 | +2.4 pts |
| 40 | Nyugat-Dunántúl | 38.1 | +5.6 pts |
| 41 | Mazowiecki regionalny | 37.4 | +13 pts |
| 42 | Burgenland | 36.9 | -2.9 pts |
| 43 | Pest | 36.6 | +10.2 pts |
| 44 | Kujawsko-pomorskie | 36.3 | +12.3 pts |
| 45 | Saarland | 36.3 | -9.3 pts |
| 46 | Molise | 36.1 | +6.3 pts |
| 47 | Dolnośląskie | 35.7 | +10.8 pts |
| 48 | Guadeloupe | 35.7 | +4.3 pts |
| 49 | Észak-Alföld | 35.1 | +10.3 pts |
| 50 | Wien | 34.8 | +1.5 pts |
| 51 | Gießen | 34.7 | +0.1 pts |
| 52 | Guyane | 34.6 | +9.8 pts |
| 53 | Abruzzo | 34.3 | +6.2 pts |
| 54 | Latvija | 34.3 | +2 pts |
| 55 | Podkarpackie | 34 | +11.3 pts |
| 56 | Bremen | 34 | +9.8 pts |
| 57 | Kassel | 33.9 | +1.4 pts |
| 58 | Trier | 33.8 | +6.9 pts |
| 59 | Severoiztochen | 33 | +1.6 pts |
| 60 | Małopolskie | 32.2 | +6.8 pts |
| 61 | Oberösterreich | 32 | +3 pts |
| 62 | Mecklenburg-Vorpommern | 31.8 | +2.5 pts |
| 63 | Lazio | 31.6 | +2.4 pts |
| 64 | Region of Murcia | 31.6 | +8.8 pts |
| 65 | Praha | 31.3 | +2.6 pts |
| 66 | Oberfranken | 31.3 | +5 pts |
| 67 | Rheinhessen-Pfalz | 31 | +4.3 pts |
| 68 | Dél-Alföld | 30.6 | +2.2 pts |
| 69 | Norte | 30.3 | +0.8 pts |
| 70 | Lubelskie | 30 | +10.3 pts |
| 71 | Oberpfalz | 29.6 | +0.7 pts |
| 72 | Łódzkie | 29 | +6.9 pts |
| 73 | Valencian Community | 29 | +2.9 pts |
| 74 | Steiermark | 28.8 | -0.8 pts |
| 75 | Liguria | 28.7 | +5.6 pts |
| 76 | Piemonte | 28.4 | +5.1 pts |
| 77 | Unterfranken | 28.3 | +2.7 pts |
| 78 | Kärnten | 28.2 | -2.9 pts |
| 79 | Flevoland | 28.1 | +1 pts |
| 80 | Koblenz | 27.9 | +1.8 pts |
| 81 | Braunschweig | 27.8 | +1 pts |
| 82 | Karlsruhe | 27.6 | +2.6 pts |
| 83 | Yugozapaden | 27.6 | +4.1 pts |
| 84 | Stuttgart | 27.4 | +0.5 pts |
| 85 | Mellersta Norrland | 27.1 | +1.4 pts |
| 86 | Świętokrzyskie | 27 | +8.8 pts |
| 87 | Niederbayern | 27 | +3 pts |
| 87 | Sardegna | 27 | +4.9 pts |
| 89 | Brandenburg | 26.9 | +1.6 pts |
| 90 | Darmstadt | 26.7 | +1.5 pts |
| 91 | Berlin | 26.7 | +1.2 pts |
| 92 | Algarve | 26.4 | +2.7 pts |
| 93 | Tübingen | 26.3 | 0 pts |
| 94 | Chemnitz | 26 | -1 pts |
| 95 | Detmold | 25.9 | +2 pts |
| 96 | Toscana | 25.8 | +2.3 pts |
| 97 | Budapest | 25.8 | +6.1 pts |
| 98 | Dresden | 25.8 | +2.1 pts |
| 99 | Podlaskie | 25.7 | +3.7 pts |
| 100 | Anatoliki Makedonia, Thraki | 25.6 | +1.9 pts |
| 101 | Emilia-Romagna | 25.6 | +4.3 pts |
| 102 | Leipzig | 25.5 | +2.3 pts |
| 103 | Arnsberg | 25.4 | +1.1 pts |
| 104 | Veneto | 25.4 | +5 pts |
| 105 | Freiburg | 25.3 | +0.1 pts |
| 105 | Mittelfranken | 25.3 | +1.5 pts |
| 107 | Warszawski stołeczny | 25.2 | +6.6 pts |
| 108 | Lombardia | 25.2 | +6.9 pts |
| 109 | Umbria | 25.1 | +2.4 pts |
| 110 | Schwaben | 25.1 | +1.4 pts |
| 111 | Kentriki Makedonia | 24.9 | +2 pts |
| 111 | Vest | 24.9 | +7.6 pts |
| 113 | Castile and León | 24.9 | +5.3 pts |
| 114 | Sostinės regionas | 24.6 | +4.7 pts |
| 115 | Eesti | 24.3 | +6.3 pts |
| 116 | Västsverige | 24.3 | +3.8 pts |
| 117 | Andalusia | 24.2 | +2.7 pts |
| 118 | Weser-Ems | 24.2 | -1.4 pts |
| 119 | Sud-Est | 23.9 | +5.1 pts |
| 120 | Midtjylland | 23.9 | -2.1 pts |
| 121 | Norra Mellansverige | 23.8 | +3.3 pts |
| 122 | Sjælland | 23.7 | -2.6 pts |
| 123 | Champagne-Ardenne | 23.6 | +2.6 pts |
| 124 | Köln | 23.6 | +1.9 pts |
| 125 | Drenthe | 23.3 | +6.4 pts |
| 126 | Sydsverige | 23.2 | +1.1 pts |
| 127 | Vidurio ir vakarų Lietuvos regionas | 23.2 | +3 pts |
| 128 | Lüneburg | 23.1 | +2.9 pts |
| 129 | Marche | 22.9 | +3.2 pts |
| 130 | Nordjylland | 22.8 | +0.1 pts |
| 131 | Extremadura | 22.7 | +5.3 pts |
| 132 | Balearic Islands | 22.7 | -2.3 pts |
| 133 | Hannover | 22.6 | +2 pts |
| 134 | Sterea Elláda | 22.6 | +0.7 pts |
| 135 | Hovedstaden | 22.5 | -4.1 pts |
| 136 | Münster | 22.4 | -0.8 pts |
| 137 | Småland med öarna | 22.3 | +1.8 pts |
| 138 | Düsseldorf | 21.8 | +1.5 pts |
| 139 | Nord-Est | 21.4 | +3.2 pts |
| 140 | Catalonia | 21.3 | +2.6 pts |
| 141 | Asturias | 21.3 | +3.1 pts |
| 141 | Zachodniopomorskie | 21.3 | +1.9 pts |
| 143 | Castilla-La Mancha | 21.3 | +3.6 pts |
| 143 | Provincia Autonoma di Trento | 21.3 | +4.5 pts |
| 145 | Aragon | 21.1 | -0.4 pts |
| 146 | Dytiki Makedonia | 20.8 | +2.9 pts |
| 147 | Valle d’Aosta/Vallée d’Aoste | 20.8 | +1.7 pts |
| 148 | Östra Mellansverige | 20.8 | +0.2 pts |
| 149 | Overijssel | 20.5 | +1.9 pts |
| 150 | Lorraine | 20.5 | -1 pts |
| 151 | Canary Islands | 20.4 | +0.8 pts |
| 152 | Zahodna Slovenija | 20.2 | +0.9 pts |
| 153 | Oberbayern | 20 | +3 pts |
| 154 | Vzhodna Slovenija | 19.9 | +3.3 pts |
| 155 | Nord-Pas de Calais | 19.9 | +1.9 pts |
| 156 | Syddanmark | 19.8 | +0.6 pts |
| 157 | Övre Norrland | 19.6 | +0.5 pts |
| 158 | Centru | 19.6 | +5.6 pts |
| 159 | Stredné Slovensko | 19.5 | +3.9 pts |
| 160 | Friuli-Venezia Giulia | 19.4 | +0.3 pts |
| 161 | Picardie | 19.4 | -0.7 pts |
| 162 | Východné Slovensko | 19.4 | +5 pts |
| 163 | Salzburg | 19.4 | -1.3 pts |
| 164 | Limousin | 19.3 | +0.9 pts |
| 165 | Vorarlberg | 19.3 | +2.8 pts |
| 166 | Bourgogne | 19.2 | +2.8 pts |
| 167 | Cantabria | 19 | +4 pts |
| 168 | Prov. Hainaut | 18.8 | +1.1 pts |
| 169 | Southern | 18.6 | +2.3 pts |
| 170 | Groningen | 18.5 | -2.2 pts |
| 171 | Západné Slovensko | 18.4 | -0.4 pts |
| 172 | Severen tsentralen | 18.4 | +3.7 pts |
| 173 | Thessalia | 18.2 | +3.5 pts |
| 174 | Stockholm | 18 | +2.3 pts |
| 175 | Gelderland | 18 | +0.6 pts |
| 176 | Tirol | 17.9 | +3.2 pts |
| 177 | Haute-Normandie | 17.7 | 0 pts |
| 178 | Dytiki Elláda | 17.5 | -2.2 pts |
| 179 | Northern and Western | 17.5 | +1.5 pts |
| 180 | Schleswig-Holstein | 17.5 | -0.4 pts |
| 180 | Voreio Aigaio | 17.5 | -0.1 pts |
| 182 | Languedoc-Roussillon | 17.3 | +2.1 pts |
| 183 | Ionia Nisia | 17.1 | +5 pts |
| 184 | Eastern and Midland | 17 | +2.7 pts |
| 185 | Centre - Val de Loire | 17 | +0.8 pts |
| 186 | Bratislavský kraj | 17 | +6.8 pts |
| 187 | Basque Country | 16.9 | +1.5 pts |
| 188 | Noord-Holland | 16.8 | -0.2 pts |
| 189 | Zeeland | 16.8 | +5.5 pts |
| 190 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 16.7 | +1.4 pts |
| 191 | Notio Aigaio | 16.6 | -2.2 pts |
| 192 | Alsace | 16.5 | +0.1 pts |
| 193 | Franche-Comté | 16.3 | -0.3 pts |
| 194 | Navarre | 16.2 | +0.3 pts |
| 195 | Limburg (NL) | 15.9 | -0.7 pts |
| 196 | Peloponnisos | 15.9 | -3.5 pts |
| 197 | Provincia Autonoma di Bolzano/Bozen | 15.7 | -1.3 pts |
| 198 | La Rioja | 15.6 | +0.6 pts |
| 199 | Poitou-Charentes | 15.5 | +0.6 pts |
| 200 | Luxembourg | 15.4 | -2.2 pts |
| 201 | Auvergne | 15.4 | +0.6 pts |
| 202 | Kriti | 15.3 | -2.6 pts |
| 203 | Friesland (NL) | 15.2 | -1.4 pts |
| 204 | Attiki | 15.2 | -1 pts |
| 205 | Basse-Normandie | 14.8 | +3.5 pts |
| 206 | Yuzhen tsentralen | 14.6 | +1.6 pts |
| 207 | Yugoiztochen | 14.6 | -0.1 pts |
| 208 | Noord-Brabant | 14.5 | -0.7 pts |
| 209 | Hamburg | 14.1 | -1 pts |
| 210 | Aquitaine | 13.8 | +0.8 pts |
| 211 | Provence-Alpes-Côte d’Azur | 13.5 | +0.4 pts |
| 212 | Ile-de-France | 13.5 | +1.5 pts |
| 213 | Midi-Pyrénées | 13.4 | +0.1 pts |
| 214 | Rhône-Alpes | 13.2 | -0.4 pts |
| 215 | Pays de la Loire | 13.2 | +0.4 pts |
| 216 | Galicia | 13 | +1.8 pts |
| 217 | Prov. Brabant wallon | 12.4 | +1 pts |
| 218 | Ipeiros | 12.2 | +1.6 pts |
| 219 | Prov. Oost-Vlaanderen | 12.1 | 0 pts |
| 220 | Prov. Namur | 11.9 | -0.4 pts |
| 221 | Prov. Liège | 11.9 | -1.2 pts |
| 222 | Prov. West-Vlaanderen | 11.9 | +0.2 pts |
| 223 | Prov. Luxembourg (BE) | 11.9 | -1.9 pts |
| 224 | Corse | 11.7 | -0.3 pts |
| 225 | Länsi-Suomi | 11.5 | +2 pts |
| 226 | Pohjois- ja Itä-Suomi | 11.4 | -1.3 pts |
| 227 | Bretagne | 11.4 | +0.4 pts |
| 228 | Åland | 11.1 | +4.7 pts |
| 229 | Etelä-Suomi | 10.8 | +1.4 pts |
| 229 | Prov. Antwerpen | 10.8 | +1.1 pts |
| 231 | Prov. Limburg (BE) | 10.6 | +0.3 pts |
| 232 | Helsinki-Uusimaa | 10.6 | +1.6 pts |
| 233 | Community of Madrid | 9.9 | +1.6 pts |
| 234 | Prov. Vlaams-Brabant | 9.2 | -1.5 pts |
| 235 | Nord-Vest | 7.2 | +2.3 pts |
| 236 | Bucureşti-Ilfov | 6.8 | +2.1 pts |
| 237 | Sud-Vest Oltenia | 6.6 | +1.2 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. 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 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), 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 E10-E14 (hlth_cd_asdr2), EU regions (NUTS 2) by diabetes death rate (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/diabetes-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 E10-E14 (hlth_cd_asdr2). EU regions (NUTS 2) by diabetes death rate (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/diabetes-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 E10-E14 (hlth_cd_asdr2), EU regions (NUTS 2) by diabetes death rate (age-standardised), 2020 [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=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 E10-E14 (hlth\_cd\_asdr2): EU regions (NUTS 2) by diabetes death rate (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/diabetes-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 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), 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/diabetes-death-rate/eu-regions?period=2020
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/diabetes-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 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=10
Questions
Which region has the highest diabetes death rate (age-standardised)?
Panonska Hrvatska, with 151.9 per 100,000 people in 2020, according to Eurostat, European Commission.
Which region has the lowest diabetes death rate (age-standardised)?
Sud-Vest Oltenia, with 6.6 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 E10-E14 (hlth_cd_asdr2). Retrieved 2026-10-12. 7 regions have no value for 2020 and are not ranked.