Regions of Germany (NUTS 2) by diabetes death rate (age-standardised)

Sachsen-Anhalt had the highest diabetes death rate (age-standardised) of 38 regions in 2020, at 40.3 per 100,000 people. Hamburg had the lowest, at 14.1 per 100,000 people. The median was 26.7 per 100,000 people and the figure for Germany was 26.4 per 100,000 people. Source: Eurostat, European Commission.

Highest40.3Sachsen-Anhalt
Lowest14.1Hamburg
Median26.738 regions
Germany26.4History

All regions, 2020

Sachsen-Anhalt: 40.3 per 100,000 peopleSachsen-Anhalt40.3Thüringen: 38.9 per 100,000 peopleThüringen38.9Saarland: 36.3 per 100,000 peopleSaarland36.3Gießen: 34.7 per 100,000 peopleGießen34.7Bremen: 34 per 100,000 peopleBremen34Kassel: 33.9 per 100,000 peopleKassel33.9Trier: 33.8 per 100,000 peopleTrier33.8Mecklenburg-Vorpommern: 31.8 per 100,000 peopleMecklenburg-Vorpommern31.8Oberfranken: 31.3 per 100,000 peopleOberfranken31.3Rheinhessen-Pfalz: 31 per 100,000 peopleRheinhessen-Pfalz31Oberpfalz: 29.6 per 100,000 peopleOberpfalz29.6Unterfranken: 28.3 per 100,000 peopleUnterfranken28.3Koblenz: 27.9 per 100,000 peopleKoblenz27.9Braunschweig: 27.8 per 100,000 peopleBraunschweig27.8Karlsruhe: 27.6 per 100,000 peopleKarlsruhe27.6Stuttgart: 27.4 per 100,000 peopleStuttgart27.4Niederbayern: 27 per 100,000 peopleNiederbayern27Brandenburg: 26.9 per 100,000 peopleBrandenburg26.9Darmstadt: 26.7 per 100,000 peopleDarmstadt26.7Berlin: 26.7 per 100,000 peopleBerlin26.7Tübingen: 26.3 per 100,000 peopleTübingen26.3Chemnitz: 26 per 100,000 peopleChemnitz26Detmold: 25.9 per 100,000 peopleDetmold25.9Dresden: 25.8 per 100,000 peopleDresden25.8Leipzig: 25.5 per 100,000 peopleLeipzig25.5Arnsberg: 25.4 per 100,000 peopleArnsberg25.4Freiburg: 25.3 per 100,000 peopleFreiburg25.3Mittelfranken: 25.3 per 100,000 peopleMittelfranken25.3Schwaben: 25.1 per 100,000 peopleSchwaben25.1Weser-Ems: 24.2 per 100,000 peopleWeser-Ems24.2Köln: 23.6 per 100,000 peopleKöln23.6Lüneburg: 23.1 per 100,000 peopleLüneburg23.1Hannover: 22.6 per 100,000 peopleHannover22.6Münster: 22.4 per 100,000 peopleMünster22.4Düsseldorf: 21.8 per 100,000 peopleDüsseldorf21.8Oberbayern: 20 per 100,000 peopleOberbayern20Schleswig-Holstein: 17.5 per 100,000 peopleSchleswig-Holstein17.5Hamburg: 14.1 per 100,000 peopleHamburg14.1
per 100,000 people. Source: Eurostat, 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.

Full ranking

RankRegions2020
per 100,000 people
Change on 2019
1Sachsen-Anhalt40.3+2.7 pts
2Thüringen38.9+2.4 pts
3Saarland36.3-9.3 pts
4Gießen34.7+0.1 pts
5Bremen34+9.8 pts
6Kassel33.9+1.4 pts
7Trier33.8+6.9 pts
8Mecklenburg-Vorpommern31.8+2.5 pts
9Oberfranken31.3+5 pts
10Rheinhessen-Pfalz31+4.3 pts
11Oberpfalz29.6+0.7 pts
12Unterfranken28.3+2.7 pts
13Koblenz27.9+1.8 pts
14Braunschweig27.8+1 pts
15Karlsruhe27.6+2.6 pts
16Stuttgart27.4+0.5 pts
17Niederbayern27+3 pts
18Brandenburg26.9+1.6 pts
19Darmstadt26.7+1.5 pts
20Berlin26.7+1.2 pts
21Tübingen26.30 pts
22Chemnitz26-1 pts
23Detmold25.9+2 pts
24Dresden25.8+2.1 pts
25Leipzig25.5+2.3 pts
26Arnsberg25.4+1.1 pts
27Freiburg25.3+0.1 pts
27Mittelfranken25.3+1.5 pts
29Schwaben25.1+1.4 pts
30Weser-Ems24.2-1.4 pts
31Köln23.6+1.9 pts
32Lüneburg23.1+2.9 pts
33Hannover22.6+2 pts
34Münster22.4-0.8 pts
35Düsseldorf21.8+1.5 pts
36Oberbayern20+3 pts
37Schleswig-Holstein17.5-0.4 pts
38Hamburg14.1-1 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

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

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 Germany (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), Regions of Germany (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/germany-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). Regions of Germany (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/germany-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), Regions of Germany (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/germany-regions?period=2020 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_germany_nuts_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): Regions of Germany (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/germany-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): Regions of Germany (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/germany-regions?period=2020
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/diabetes-death-rate/germany-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  - 
Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

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 Germany by diabetes death rate (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_diabetes","level":"region","within":"Germany","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_diabetes&level=region&within=Germany&limit=10

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

Which region has the highest diabetes death rate (age-standardised)?

Sachsen-Anhalt, with 40.3 per 100,000 people in 2020, according to Eurostat, European Commission.

Which region has the lowest diabetes death rate (age-standardised)?

Hamburg, with 14.1 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.

Diabetes death rate (age-standardised): other rankings

Regions of Germany (NUTS 2): more rankings