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

Saarland had the highest diabetes death rate (age-standardised) of 38 regions in 2019, at 45.6 per 100,000 people. Hamburg had the lowest, at 15 per 100,000 people. The median was 25.3 per 100,000 people and the figure for Germany was 24.9 per 100,000 people. Source: Eurostat, European Commission.

Highest45.6Saarland
Lowest15Hamburg
Median25.338 regions
Germany24.9History

All regions, 2019

Saarland: 45.6 per 100,000 peopleSaarland45.6Sachsen-Anhalt: 37.6 per 100,000 peopleSachsen-Anhalt37.6Thüringen: 36.5 per 100,000 peopleThüringen36.5Gießen: 34.6 per 100,000 peopleGießen34.6Kassel: 32.5 per 100,000 peopleKassel32.5Mecklenburg-Vorpommern: 29.3 per 100,000 peopleMecklenburg-Vorpommern29.3Oberpfalz: 28.9 per 100,000 peopleOberpfalz28.9Chemnitz: 27 per 100,000 peopleChemnitz27Trier: 26.9 per 100,000 peopleTrier26.9Stuttgart: 26.9 per 100,000 peopleStuttgart26.9Braunschweig: 26.8 per 100,000 peopleBraunschweig26.8Rheinhessen-Pfalz: 26.7 per 100,000 peopleRheinhessen-Pfalz26.7Tübingen: 26.3 per 100,000 peopleTübingen26.3Oberfranken: 26.3 per 100,000 peopleOberfranken26.3Koblenz: 26.2 per 100,000 peopleKoblenz26.2Unterfranken: 25.6 per 100,000 peopleUnterfranken25.6Weser-Ems: 25.6 per 100,000 peopleWeser-Ems25.6Berlin: 25.5 per 100,000 peopleBerlin25.5Brandenburg: 25.3 per 100,000 peopleBrandenburg25.3Darmstadt: 25.3 per 100,000 peopleDarmstadt25.3Freiburg: 25.2 per 100,000 peopleFreiburg25.2Karlsruhe: 25 per 100,000 peopleKarlsruhe25Arnsberg: 24.4 per 100,000 peopleArnsberg24.4Bremen: 24.2 per 100,000 peopleBremen24.2Niederbayern: 24 per 100,000 peopleNiederbayern24Detmold: 24 per 100,000 peopleDetmold24Mittelfranken: 23.7 per 100,000 peopleMittelfranken23.7Schwaben: 23.7 per 100,000 peopleSchwaben23.7Dresden: 23.7 per 100,000 peopleDresden23.7Leipzig: 23.2 per 100,000 peopleLeipzig23.2Münster: 23.2 per 100,000 peopleMünster23.2Köln: 21.7 per 100,000 peopleKöln21.7Hannover: 20.6 per 100,000 peopleHannover20.6Düsseldorf: 20.3 per 100,000 peopleDüsseldorf20.3Lüneburg: 20.2 per 100,000 peopleLüneburg20.2Schleswig-Holstein: 17.9 per 100,000 peopleSchleswig-Holstein17.9Oberbayern: 17 per 100,000 peopleOberbayern17Hamburg: 15 per 100,000 peopleHamburg15
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

RankRegions2019
per 100,000 people
Change on 2018
1Saarland45.6-0.9 pts
2Sachsen-Anhalt37.6-3.9 pts
3Thüringen36.5-4.2 pts
4Gießen34.6-0.8 pts
5Kassel32.5-0.7 pts
6Mecklenburg-Vorpommern29.3-2.8 pts
7Oberpfalz28.9-1.1 pts
8Chemnitz27-0.5 pts
9Trier26.9-4.3 pts
10Stuttgart26.9-1.9 pts
11Braunschweig26.8-1.6 pts
12Rheinhessen-Pfalz26.7-1.9 pts
13Tübingen26.3-0.3 pts
14Oberfranken26.3-1.2 pts
15Koblenz26.2-4 pts
16Unterfranken25.6-1.4 pts
17Weser-Ems25.6+0.8 pts
18Berlin25.5+2.5 pts
19Brandenburg25.3-2.3 pts
20Darmstadt25.3-1.8 pts
21Freiburg25.2-0.3 pts
22Karlsruhe25-1.5 pts
23Arnsberg24.4-3 pts
24Bremen24.2+14.9 pts
25Niederbayern24-0.8 pts
26Detmold24-2 pts
27Mittelfranken23.7-0.6 pts
28Schwaben23.7+1.2 pts
29Dresden23.7-0.8 pts
30Leipzig23.2-3.8 pts
30Münster23.2-1.6 pts
32Köln21.7-1.2 pts
33Hannover20.6-1.9 pts
34Düsseldorf20.3-2.9 pts
35Lüneburg20.2-5.5 pts
36Schleswig-Holstein17.9-1.6 pts
37Oberbayern17-2.6 pts
38Hamburg15-2.2 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. 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), 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 Germany (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/germany-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 Germany (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/germany-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 Germany (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/germany-regions?period=2019 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_germany_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 Germany (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/germany-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 Germany (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/germany-regions?period=2019
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/diabetes-death-rate/germany-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  - 
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Questions

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

Saarland, with 45.6 per 100,000 people in 2019, according to Eurostat, European Commission.

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

Hamburg, with 15 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.

Diabetes death rate (age-standardised): other rankings

Regions of Germany (NUTS 2): more rankings