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

Mecklenburg-Vorpommern had the highest cancer death rate (age-standardised) of 38 regions in 2020, at 267.5 per 100,000 people. Tübingen had the lowest, at 205.1 per 100,000 people. The median was 243.6 per 100,000 people and the figure for Germany was 240.3 per 100,000 people. Source: Eurostat, European Commission.

Lowest205.1Tübingen
Median243.638 regions
Germany240.3History

All regions, 2020

Mecklenburg-Vorpommern: 267.5 per 100,000 peopleMecklenburg-Vorpommern267.5Sachsen-Anhalt: 267.2 per 100,000 peopleSachsen-Anhalt267.2Arnsberg: 264.6 per 100,000 peopleArnsberg264.6Düsseldorf: 258.7 per 100,000 peopleDüsseldorf258.7Bremen: 258.6 per 100,000 peopleBremen258.6Münster: 258.1 per 100,000 peopleMünster258.1Schleswig-Holstein: 256.3 per 100,000 peopleSchleswig-Holstein256.3Trier: 255.1 per 100,000 peopleTrier255.1Saarland: 254.8 per 100,000 peopleSaarland254.8Berlin: 251.3 per 100,000 peopleBerlin251.3Brandenburg: 250.6 per 100,000 peopleBrandenburg250.6Koblenz: 250.5 per 100,000 peopleKoblenz250.5Hamburg: 249 per 100,000 peopleHamburg249Lüneburg: 248.2 per 100,000 peopleLüneburg248.2Braunschweig: 245.9 per 100,000 peopleBraunschweig245.9Gießen: 245.9 per 100,000 peopleGießen245.9Weser-Ems: 245.7 per 100,000 peopleWeser-Ems245.7Köln: 244.9 per 100,000 peopleKöln244.9Leipzig: 243.6 per 100,000 peopleLeipzig243.6Hannover: 243.6 per 100,000 peopleHannover243.6Oberpfalz: 238.6 per 100,000 peopleOberpfalz238.6Detmold: 238.5 per 100,000 peopleDetmold238.5Mittelfranken: 238.4 per 100,000 peopleMittelfranken238.4Oberfranken: 238.1 per 100,000 peopleOberfranken238.1Rheinhessen-Pfalz: 237.7 per 100,000 peopleRheinhessen-Pfalz237.7Thüringen: 237.7 per 100,000 peopleThüringen237.7Chemnitz: 235.8 per 100,000 peopleChemnitz235.8Kassel: 230.6 per 100,000 peopleKassel230.6Darmstadt: 228 per 100,000 peopleDarmstadt228Dresden: 227.7 per 100,000 peopleDresden227.7Niederbayern: 227.3 per 100,000 peopleNiederbayern227.3Karlsruhe: 221.1 per 100,000 peopleKarlsruhe221.1Freiburg: 217.8 per 100,000 peopleFreiburg217.8Schwaben: 215.4 per 100,000 peopleSchwaben215.4Unterfranken: 213.6 per 100,000 peopleUnterfranken213.6Oberbayern: 212.7 per 100,000 peopleOberbayern212.7Stuttgart: 209.5 per 100,000 peopleStuttgart209.5Tübingen: 205.1 per 100,000 peopleTübingen205.1
per 100,000 people. Source: Eurostat, Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 C (hlth_cd_asdr2). Retrieved 2026-10-12.

Full ranking

RankRegions2020
per 100,000 people
Change on 2019
1Mecklenburg-Vorpommern267.5-7.5 pts
2Sachsen-Anhalt267.2-10.1 pts
3Arnsberg264.6-4.5 pts
4Düsseldorf258.7-8.8 pts
5Bremen258.6+0.1 pts
6Münster258.1-6.8 pts
7Schleswig-Holstein256.3-6.6 pts
8Trier255.1+10.5 pts
9Saarland254.8-0.9 pts
10Berlin251.3+0.2 pts
11Brandenburg250.6+6.4 pts
12Koblenz250.5+4.8 pts
13Hamburg249-12 pts
14Lüneburg248.2-10.8 pts
15Braunschweig245.9-8.4 pts
16Gießen245.9+3.5 pts
17Weser-Ems245.7-0.3 pts
18Köln244.9-11.3 pts
19Leipzig243.6-5.1 pts
20Hannover243.6+0.5 pts
21Oberpfalz238.6+9.3 pts
22Detmold238.5-6.3 pts
23Mittelfranken238.4+4.5 pts
24Oberfranken238.1+9.9 pts
25Rheinhessen-Pfalz237.7-4.3 pts
25Thüringen237.7-3.8 pts
27Chemnitz235.8-4.8 pts
28Kassel230.6-4.7 pts
29Darmstadt228-5.5 pts
30Dresden227.7+0.4 pts
31Niederbayern227.3-5.2 pts
32Karlsruhe221.1-9.2 pts
33Freiburg217.8-2.4 pts
34Schwaben215.4+1 pts
35Unterfranken213.6-7 pts
36Oberbayern212.7+0.8 pts
37Stuttgart209.5-2.6 pts
38Tübingen205.1+1.3 pts

Other periods

About this ranking

Deaths from [object Object] (ICD-10 C00 to C97) 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 C (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 C (hlth_cd_asdr2) (Regions of Germany (NUTS 2) by cancer 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 C (hlth_cd_asdr2), Regions of Germany (NUTS 2) by cancer 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/cancer-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 C (hlth_cd_asdr2). Regions of Germany (NUTS 2) by cancer 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/cancer-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 C (hlth_cd_asdr2), Regions of Germany (NUTS 2) by cancer 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/cancer-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 C (hlth\_cd\_asdr2): Regions of Germany (NUTS 2) by cancer 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/cancer-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 C (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 C (hlth_cd_asdr2): Regions of Germany (NUTS 2) by cancer 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/cancer-death-rate/germany-regions?period=2020
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/cancer-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 C (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 cancer death rate (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_cancer","level":"region","within":"Germany","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_cancer&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 cancer death rate (age-standardised)?

Mecklenburg-Vorpommern, with 267.5 per 100,000 people in 2020, according to Eurostat, European Commission.

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

Tübingen, with 205.1 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 C (hlth_cd_asdr2). Retrieved 2026-10-12.

Cancer death rate (age-standardised): other rankings

Regions of Germany (NUTS 2): more rankings