Data / Rankings / Death rate from circulatory diseases (age-standardised) / Regions of Germany (NUTS 2)

Regions of Germany (NUTS 2) by death rate from circulatory diseases (age-standardised)

Chemnitz had the highest death rate from circulatory diseases (age-standardised) of 38 regions in 2020, at 470.8 per 100,000 people. Hamburg had the lowest, at 275.5 per 100,000 people. The median was 365.8 per 100,000 people and the figure for Germany was 348.3 per 100,000 people. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest470.8Chemnitz
Lowest275.5Hamburg
Median365.838 regions
Germany348.3History

All regions, 2020

Chemnitz: 470.8 per 100,000 peopleChemnitz470.8Sachsen-Anhalt: 442.2 per 100,000 peopleSachsen-Anhalt442.2Oberfranken: 412.2 per 100,000 peopleOberfranken412.2Thüringen: 403.5 per 100,000 peopleThüringen403.5Dresden: 393.9 per 100,000 peopleDresden393.9Leipzig: 391 per 100,000 peopleLeipzig391Mecklenburg-Vorpommern: 389.3 per 100,000 peopleMecklenburg-Vorpommern389.3Gießen: 382.5 per 100,000 peopleGießen382.5Kassel: 380.4 per 100,000 peopleKassel380.4Braunschweig: 378.7 per 100,000 peopleBraunschweig378.7Weser-Ems: 378 per 100,000 peopleWeser-Ems378Oberpfalz: 377.6 per 100,000 peopleOberpfalz377.6Mittelfranken: 377.3 per 100,000 peopleMittelfranken377.3Brandenburg: 374.6 per 100,000 peopleBrandenburg374.6Lüneburg: 373.3 per 100,000 peopleLüneburg373.3Niederbayern: 369.8 per 100,000 peopleNiederbayern369.8Koblenz: 369.6 per 100,000 peopleKoblenz369.6Unterfranken: 368.9 per 100,000 peopleUnterfranken368.9Hannover: 367.6 per 100,000 peopleHannover367.6Trier: 364.1 per 100,000 peopleTrier364.1Rheinhessen-Pfalz: 359.2 per 100,000 peopleRheinhessen-Pfalz359.2Schleswig-Holstein: 350.6 per 100,000 peopleSchleswig-Holstein350.6Bremen: 348.3 per 100,000 peopleBremen348.3Schwaben: 342.8 per 100,000 peopleSchwaben342.8Saarland: 342.4 per 100,000 peopleSaarland342.4Karlsruhe: 336.5 per 100,000 peopleKarlsruhe336.5Darmstadt: 326.3 per 100,000 peopleDarmstadt326.3Stuttgart: 321 per 100,000 peopleStuttgart321Tübingen: 320.4 per 100,000 peopleTübingen320.4Berlin: 314.2 per 100,000 peopleBerlin314.2Arnsberg: 313.7 per 100,000 peopleArnsberg313.7Freiburg: 311.4 per 100,000 peopleFreiburg311.4Detmold: 309.5 per 100,000 peopleDetmold309.5Köln: 308.8 per 100,000 peopleKöln308.8Münster: 307 per 100,000 peopleMünster307Düsseldorf: 303.3 per 100,000 peopleDüsseldorf303.3Oberbayern: 301.8 per 100,000 peopleOberbayern301.8Hamburg: 275.5 per 100,000 peopleHamburg275.5Chemnitz: 470.8 per 100,000 peopleChemnitz470.8Sachsen-Anhalt: 442.2 per 100,000 peopleSachsen-Anhalt442.2Oberfranken: 412.2 per 100,000 peopleOberfranken412.2Thüringen: 403.5 per 100,000 peopleThüringen403.5Dresden: 393.9 per 100,000 peopleDresden393.9Leipzig: 391 per 100,000 peopleLeipzig391Mecklenburg-Vorpommern: 389.3 per 100,000 peopleMecklenburg-Vorpommern389.3Gießen: 382.5 per 100,000 peopleGießen382.5Kassel: 380.4 per 100,000 peopleKassel380.4Braunschweig: 378.7 per 100,000 peopleBraunschweig378.7Weser-Ems: 378 per 100,000 peopleWeser-Ems378Oberpfalz: 377.6 per 100,000 peopleOberpfalz377.6Mittelfranken: 377.3 per 100,000 peopleMittelfranken377.3Brandenburg: 374.6 per 100,000 peopleBrandenburg374.6Lüneburg: 373.3 per 100,000 peopleLüneburg373.3Niederbayern: 369.8 per 100,000 peopleNiederbayern369.8Koblenz: 369.6 per 100,000 peopleKoblenz369.6Unterfranken: 368.9 per 100,000 peopleUnterfranken368.9Hannover: 367.6 per 100,000 peopleHannover367.6Trier: 364.1 per 100,000 peopleTrier364.1Rheinhessen-Pfalz: 359.2 per 100,000 peopleRheinhessen-Pfalz359.2Schleswig-Holstein: 350.6 per 100,000 peopleSchleswig-Holstein350.6Bremen: 348.3 per 100,000 peopleBremen348.3Schwaben: 342.8 per 100,000 peopleSchwaben342.8Saarland: 342.4 per 100,000 peopleSaarland342.4Karlsruhe: 336.5 per 100,000 peopleKarlsruhe336.5Darmstadt: 326.3 per 100,000 peopleDarmstadt326.3Stuttgart: 321 per 100,000 peopleStuttgart321Tübingen: 320.4 per 100,000 peopleTübingen320.4Berlin: 314.2 per 100,000 peopleBerlin314.2Arnsberg: 313.7 per 100,000 peopleArnsberg313.7Freiburg: 311.4 per 100,000 peopleFreiburg311.4Detmold: 309.5 per 100,000 peopleDetmold309.5Köln: 308.8 per 100,000 peopleKöln308.8Münster: 307 per 100,000 peopleMünster307Düsseldorf: 303.3 per 100,000 peopleDüsseldorf303.3Oberbayern: 301.8 per 100,000 peopleOberbayern301.8Hamburg: 275.5 per 100,000 peopleHamburg275.5
per 100,000 people. Source: Eurostat, Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 I (hlth_cd_asdr2). Retrieved 2026-10-12.

Full ranking

RankRegions2020
per 100,000 people		Change on 2019
1Chemnitz470.8+25.5 pts
2Sachsen-Anhalt442.2+2.4 pts
3Oberfranken412.2+13.4 pts
4Thüringen403.5-7.2 pts
5Dresden393.9+25.3 pts
6Leipzig391+5.6 pts
7Mecklenburg-Vorpommern389.3-18.6 pts
8Gießen382.5-1.7 pts
9Kassel380.4+8 pts
10Braunschweig378.7-11.7 pts
11Weser-Ems378-4.8 pts
12Oberpfalz377.6-2.6 pts
13Mittelfranken377.3-7.1 pts
14Brandenburg374.6-5.4 pts
15Lüneburg373.3-0.4 pts
16Niederbayern369.8-7.2 pts
17Koblenz369.6-2.5 pts
18Unterfranken368.9+0.1 pts
19Hannover367.6-14.3 pts
20Trier364.1-13.1 pts
21Rheinhessen-Pfalz359.2-12.7 pts
22Schleswig-Holstein350.6-13.9 pts
23Bremen348.3+4.6 pts
24Schwaben342.8-2.5 pts
25Saarland342.4+0.3 pts
26Karlsruhe336.5-0.7 pts
27Darmstadt326.3-8.3 pts
28Stuttgart321+3.2 pts
29Tübingen320.4-10.9 pts
30Berlin314.2+3.3 pts
31Arnsberg313.7-6.7 pts
32Freiburg311.4-7.8 pts
33Detmold309.5-7 pts
34Köln308.8-3.4 pts
35Münster307-4.9 pts
36Düsseldorf303.3+0.1 pts
37Oberbayern301.8+0.6 pts
38Hamburg275.5-5.5 pts

Other periods

About this ranking

Deaths from [object Object] (ICD-10 I00 to I99) 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 I (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 I (hlth_cd_asdr2) (Regions of Germany (NUTS 2) by death rate from circulatory diseases (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 I (hlth_cd_asdr2), Regions of Germany (NUTS 2) by death rate from circulatory diseases (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/circulatory-disease-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 I (hlth_cd_asdr2). Regions of Germany (NUTS 2) by death rate from circulatory diseases (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/circulatory-disease-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 I (hlth_cd_asdr2), Regions of Germany (NUTS 2) by death rate from circulatory diseases (age-standardised), 2020 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table, via Invokely: https://invokely.ai/rankings/circulatory-disease-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 I (hlth\_cd\_asdr2): Regions of Germany (NUTS 2) by death rate from circulatory diseases (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/circulatory-disease-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 I (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 I (hlth_cd_asdr2): Regions of Germany (NUTS 2) by death rate from circulatory diseases (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/circulatory-disease-death-rate/germany-regions?period=2020
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/circulatory-disease-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 I (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 death rate from circulatory diseases (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_circulatory","level":"region","within":"Germany","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_circulatory&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 death rate from circulatory diseases (age-standardised)?

Chemnitz, with 470.8 per 100,000 people in 2020, according to Eurostat, European Commission.

Which region has the lowest death rate from circulatory diseases (age-standardised)?

Hamburg, with 275.5 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 I (hlth_cd_asdr2). Retrieved 2026-10-12.

Death rate from circulatory diseases (age-standardised): other rankings

Regions of Germany (NUTS 2): more rankings