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

Saarland had the highest diabetes death rate (age-standardised) of 38 regions in 2018, at 46.4 per 100,000 people. Bremen had the lowest, at 9.4 per 100,000 people. The median was 26.8 per 100,000 people and the figure for Germany was 26.4 per 100,000 people. Source: Eurostat, European Commission.

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Highest46.4Saarland
Lowest9.4Bremen
Median26.838 regions
Germany26.4History

All regions, 2018

Saarland: 46.4 per 100,000 peopleSaarland46.4Sachsen-Anhalt: 41.5 per 100,000 peopleSachsen-Anhalt41.5Thüringen: 40.7 per 100,000 peopleThüringen40.7Gießen: 35.4 per 100,000 peopleGießen35.4Kassel: 33.2 per 100,000 peopleKassel33.2Mecklenburg-Vorpommern: 32.1 per 100,000 peopleMecklenburg-Vorpommern32.1Trier: 31.2 per 100,000 peopleTrier31.2Koblenz: 30.2 per 100,000 peopleKoblenz30.2Oberpfalz: 30 per 100,000 peopleOberpfalz30Stuttgart: 28.8 per 100,000 peopleStuttgart28.8Rheinhessen-Pfalz: 28.5 per 100,000 peopleRheinhessen-Pfalz28.5Braunschweig: 28.5 per 100,000 peopleBraunschweig28.5Brandenburg: 27.7 per 100,000 peopleBrandenburg27.7Oberfranken: 27.5 per 100,000 peopleOberfranken27.5Chemnitz: 27.4 per 100,000 peopleChemnitz27.4Arnsberg: 27.3 per 100,000 peopleArnsberg27.3Darmstadt: 27.1 per 100,000 peopleDarmstadt27.1Unterfranken: 27 per 100,000 peopleUnterfranken27Leipzig: 27 per 100,000 peopleLeipzig27Tübingen: 26.6 per 100,000 peopleTübingen26.6Karlsruhe: 26.5 per 100,000 peopleKarlsruhe26.5Detmold: 26 per 100,000 peopleDetmold26Lüneburg: 25.7 per 100,000 peopleLüneburg25.7Freiburg: 25.5 per 100,000 peopleFreiburg25.5Niederbayern: 24.8 per 100,000 peopleNiederbayern24.8Münster: 24.8 per 100,000 peopleMünster24.8Weser-Ems: 24.7 per 100,000 peopleWeser-Ems24.7Dresden: 24.4 per 100,000 peopleDresden24.4Mittelfranken: 24.4 per 100,000 peopleMittelfranken24.4Düsseldorf: 23.2 per 100,000 peopleDüsseldorf23.2Berlin: 23 per 100,000 peopleBerlin23Köln: 22.9 per 100,000 peopleKöln22.9Schwaben: 22.5 per 100,000 peopleSchwaben22.5Hannover: 22.5 per 100,000 peopleHannover22.5Oberbayern: 19.5 per 100,000 peopleOberbayern19.5Schleswig-Holstein: 19.5 per 100,000 peopleSchleswig-Holstein19.5Hamburg: 17.3 per 100,000 peopleHamburg17.3Bremen: 9.4 per 100,000 peopleBremen9.4Saarland: 46.4 per 100,000 peopleSaarland46.4Sachsen-Anhalt: 41.5 per 100,000 peopleSachsen-Anhalt41.5Thüringen: 40.7 per 100,000 peopleThüringen40.7Gießen: 35.4 per 100,000 peopleGießen35.4Kassel: 33.2 per 100,000 peopleKassel33.2Mecklenburg-Vorpommern: 32.1 per 100,000 peopleMecklenburg-Vorpommern32.1Trier: 31.2 per 100,000 peopleTrier31.2Koblenz: 30.2 per 100,000 peopleKoblenz30.2Oberpfalz: 30 per 100,000 peopleOberpfalz30Stuttgart: 28.8 per 100,000 peopleStuttgart28.8Rheinhessen-Pfalz: 28.5 per 100,000 peopleRheinhessen-Pfalz28.5Braunschweig: 28.5 per 100,000 peopleBraunschweig28.5Brandenburg: 27.7 per 100,000 peopleBrandenburg27.7Oberfranken: 27.5 per 100,000 peopleOberfranken27.5Chemnitz: 27.4 per 100,000 peopleChemnitz27.4Arnsberg: 27.3 per 100,000 peopleArnsberg27.3Darmstadt: 27.1 per 100,000 peopleDarmstadt27.1Unterfranken: 27 per 100,000 peopleUnterfranken27Leipzig: 27 per 100,000 peopleLeipzig27Tübingen: 26.6 per 100,000 peopleTübingen26.6Karlsruhe: 26.5 per 100,000 peopleKarlsruhe26.5Detmold: 26 per 100,000 peopleDetmold26Lüneburg: 25.7 per 100,000 peopleLüneburg25.7Freiburg: 25.5 per 100,000 peopleFreiburg25.5Niederbayern: 24.8 per 100,000 peopleNiederbayern24.8Münster: 24.8 per 100,000 peopleMünster24.8Weser-Ems: 24.7 per 100,000 peopleWeser-Ems24.7Dresden: 24.4 per 100,000 peopleDresden24.4Mittelfranken: 24.4 per 100,000 peopleMittelfranken24.4Düsseldorf: 23.2 per 100,000 peopleDüsseldorf23.2Berlin: 23 per 100,000 peopleBerlin23Köln: 22.9 per 100,000 peopleKöln22.9Schwaben: 22.5 per 100,000 peopleSchwaben22.5Hannover: 22.5 per 100,000 peopleHannover22.5Oberbayern: 19.5 per 100,000 peopleOberbayern19.5Schleswig-Holstein: 19.5 per 100,000 peopleSchleswig-Holstein19.5Hamburg: 17.3 per 100,000 peopleHamburg17.3Bremen: 9.4 per 100,000 peopleBremen9.4
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

RankRegions2018
per 100,000 people
Change on 2017
1Saarland46.4+4.9 pts
2Sachsen-Anhalt41.5+0.2 pts
3Thüringen40.7+0.3 pts
4Gießen35.4-0.1 pts
5Kassel33.2-2.6 pts
6Mecklenburg-Vorpommern32.1+0.2 pts
7Trier31.2+2.8 pts
8Koblenz30.2+0.9 pts
9Oberpfalz30-0.1 pts
10Stuttgart28.8+0.7 pts
11Rheinhessen-Pfalz28.5-0.6 pts
12Braunschweig28.5-0.4 pts
13Brandenburg27.7+1.1 pts
14Oberfranken27.5-4.6 pts
15Chemnitz27.4-0.4 pts
16Arnsberg27.3+0.2 pts
17Darmstadt27.1+2.1 pts
18Unterfranken27-0.5 pts
19Leipzig27+3 pts
20Tübingen26.6+1.6 pts
21Karlsruhe26.5-0.7 pts
22Detmold26-0.7 pts
23Lüneburg25.7-1.6 pts
24Freiburg25.5-2 pts
25Niederbayern24.8-4.9 pts
26Münster24.8+2.5 pts
27Weser-Ems24.7-4.6 pts
28Dresden24.4-0.3 pts
29Mittelfranken24.4-1.8 pts
30Düsseldorf23.2-0.7 pts
31Berlin23-5.9 pts
32Köln22.9-1.5 pts
33Schwaben22.5-1.8 pts
34Hannover22.5-1.7 pts
35Oberbayern19.5-1.2 pts
36Schleswig-Holstein19.5+3.3 pts
37Hamburg17.3+1.1 pts
38Bremen9.4-0.9 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), 2018) [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), 2018. 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=2018. 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), 2018. 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=2018.

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), 2018 [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=2018 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_germany_nuts_2018,
  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), 2018}},
  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=2018. 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), 2018
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=2018
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/diabetes-death-rate/germany-regions?period=2018.
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  - 
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Questions

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

Saarland, with 46.4 per 100,000 people in 2018, according to Eurostat, European Commission.

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

Bremen, with 9.4 per 100,000 people in 2018.

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