Regions of France (NUTS 2) by diabetes death rate (age-standardised)
Mayotte had the highest diabetes death rate (age-standardised) of 27 regions in 2019, at 79.9 per 100,000 people. Bretagne had the lowest, at 10.9 per 100,000 people. The median was 16.4 per 100,000 people and the figure for France was 15 per 100,000 people. Source: Eurostat, European Commission.
All regions, 2019
Full ranking
| Rank | Regions | 2019 | Change on 2018 |
|---|---|---|---|
| 1 | Mayotte | 79.9 | +19.3 pts |
| 2 | La Réunion | 46.3 | -0.4 pts |
| 3 | Martinique | 34.3 | +3.7 pts |
| 4 | Guadeloupe | 31.4 | +2.4 pts |
| 5 | Guyane | 24.8 | +0.4 pts |
| 6 | Lorraine | 21.5 | +2.1 pts |
| 7 | Champagne-Ardenne | 21 | +2 pts |
| 8 | Picardie | 20.1 | +0.6 pts |
| 9 | Limousin | 18.4 | +2.8 pts |
| 10 | Nord-Pas de Calais | 18 | -1.5 pts |
| 11 | Haute-Normandie | 17.7 | -1.3 pts |
| 12 | Franche-Comté | 16.6 | -0.1 pts |
| 13 | Bourgogne | 16.4 | -2.1 pts |
| 14 | Alsace | 16.4 | -1.8 pts |
| 15 | Centre - Val de Loire | 16.2 | -1.4 pts |
| 16 | Languedoc-Roussillon | 15.3 | -1 pts |
| 17 | Poitou-Charentes | 14.9 | -0.6 pts |
| 18 | Auvergne | 14.8 | -0.4 pts |
| 19 | Rhône-Alpes | 13.6 | -0.6 pts |
| 20 | Midi-Pyrénées | 13.3 | -0.4 pts |
| 21 | Provence-Alpes-Côte d’Azur | 13.1 | -0.5 pts |
| 22 | Aquitaine | 12.9 | -0.3 pts |
| 23 | Pays de la Loire | 12.8 | -0.7 pts |
| 24 | Corse | 12 | +0.1 pts |
| 25 | Ile-de-France | 11.9 | +0.3 pts |
| 26 | Basse-Normandie | 11.3 | -1.3 pts |
| 27 | Bretagne | 10.9 | -0.6 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. 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) (Regions of France (NUTS 2) by diabetes death rate (age-standardised), 2019) [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), Regions of France (NUTS 2) by diabetes death rate (age-standardised), 2019. 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/france-regions?period=2019. 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). Regions of France (NUTS 2) by diabetes death rate (age-standardised), 2019. 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/france-regions?period=2019.
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), Regions of France (NUTS 2) by diabetes death rate (age-standardised), 2019 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table, via Invokely: https://invokely.ai/rankings/diabetes-death-rate/france-regions?period=2019 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_regions_of_france_nuts_2019,
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): Regions of France (NUTS 2) by diabetes death rate (age-standardised), 2019}},
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/france-regions?period=2019. 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): Regions of France (NUTS 2) by diabetes death rate (age-standardised), 2019
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/france-regions?period=2019
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/diabetes-death-rate/france-regions?period=2019.
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 Regions of France by diabetes death rate (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_diabetes","level":"region","within":"France","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_diabetes&level=region&within=France&limit=10Questions
Which region has the highest diabetes death rate (age-standardised)?
Mayotte, with 79.9 per 100,000 people in 2019, according to Eurostat, European Commission.
Which region has the lowest diabetes death rate (age-standardised)?
Bretagne, with 10.9 per 100,000 people in 2019.
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.