Data / Rankings / Lung cancer death rate (age-standardised) / Regions of Germany (NUTS 2)

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

Bremen had the highest lung cancer death rate (age-standardised) of 38 regions in 2020, at 65.1 per 100,000 people. Tübingen had the lowest, at 33 per 100,000 people. The median was 47.2 per 100,000 people and the figure for Germany was 47.5 per 100,000 people. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest65.1Bremen
Lowest33Tübingen
Median47.238 regions
Germany47.5History

All regions, 2020

Bremen: 65.1 per 100,000 peopleBremen65.1Düsseldorf: 60.6 per 100,000 peopleDüsseldorf60.6Arnsberg: 60.5 per 100,000 peopleArnsberg60.5Münster: 58.1 per 100,000 peopleMünster58.1Schleswig-Holstein: 57.6 per 100,000 peopleSchleswig-Holstein57.6Hamburg: 56.6 per 100,000 peopleHamburg56.6Saarland: 56.3 per 100,000 peopleSaarland56.3Berlin: 56.2 per 100,000 peopleBerlin56.2Köln: 55.5 per 100,000 peopleKöln55.5Lüneburg: 54.2 per 100,000 peopleLüneburg54.2Trier: 52.8 per 100,000 peopleTrier52.8Braunschweig: 52.2 per 100,000 peopleBraunschweig52.2Koblenz: 51.2 per 100,000 peopleKoblenz51.2Sachsen-Anhalt: 50.2 per 100,000 peopleSachsen-Anhalt50.2Weser-Ems: 50.1 per 100,000 peopleWeser-Ems50.1Hannover: 48.7 per 100,000 peopleHannover48.7Mecklenburg-Vorpommern: 48 per 100,000 peopleMecklenburg-Vorpommern48Brandenburg: 47.9 per 100,000 peopleBrandenburg47.9Detmold: 47.2 per 100,000 peopleDetmold47.2Rheinhessen-Pfalz: 47.2 per 100,000 peopleRheinhessen-Pfalz47.2Darmstadt: 45.3 per 100,000 peopleDarmstadt45.3Karlsruhe: 44.6 per 100,000 peopleKarlsruhe44.6Leipzig: 44.6 per 100,000 peopleLeipzig44.6Kassel: 43.2 per 100,000 peopleKassel43.2Gießen: 42.7 per 100,000 peopleGießen42.7Mittelfranken: 41.2 per 100,000 peopleMittelfranken41.2Oberfranken: 40.3 per 100,000 peopleOberfranken40.3Thüringen: 39.4 per 100,000 peopleThüringen39.4Freiburg: 39 per 100,000 peopleFreiburg39Oberpfalz: 37.8 per 100,000 peopleOberpfalz37.8Stuttgart: 36.9 per 100,000 peopleStuttgart36.9Dresden: 35.7 per 100,000 peopleDresden35.7Niederbayern: 35.5 per 100,000 peopleNiederbayern35.5Oberbayern: 35.2 per 100,000 peopleOberbayern35.2Unterfranken: 35.1 per 100,000 peopleUnterfranken35.1Chemnitz: 34.5 per 100,000 peopleChemnitz34.5Schwaben: 34.4 per 100,000 peopleSchwaben34.4Tübingen: 33 per 100,000 peopleTübingen33Bremen: 65.1 per 100,000 peopleBremen65.1Düsseldorf: 60.6 per 100,000 peopleDüsseldorf60.6Arnsberg: 60.5 per 100,000 peopleArnsberg60.5Münster: 58.1 per 100,000 peopleMünster58.1Schleswig-Holstein: 57.6 per 100,000 peopleSchleswig-Holstein57.6Hamburg: 56.6 per 100,000 peopleHamburg56.6Saarland: 56.3 per 100,000 peopleSaarland56.3Berlin: 56.2 per 100,000 peopleBerlin56.2Köln: 55.5 per 100,000 peopleKöln55.5Lüneburg: 54.2 per 100,000 peopleLüneburg54.2Trier: 52.8 per 100,000 peopleTrier52.8Braunschweig: 52.2 per 100,000 peopleBraunschweig52.2Koblenz: 51.2 per 100,000 peopleKoblenz51.2Sachsen-Anhalt: 50.2 per 100,000 peopleSachsen-Anhalt50.2Weser-Ems: 50.1 per 100,000 peopleWeser-Ems50.1Hannover: 48.7 per 100,000 peopleHannover48.7Mecklenburg-Vorpommern: 48 per 100,000 peopleMecklenburg-Vorpommern48Brandenburg: 47.9 per 100,000 peopleBrandenburg47.9Detmold: 47.2 per 100,000 peopleDetmold47.2Rheinhessen-Pfalz: 47.2 per 100,000 peopleRheinhessen-Pfalz47.2Darmstadt: 45.3 per 100,000 peopleDarmstadt45.3Karlsruhe: 44.6 per 100,000 peopleKarlsruhe44.6Leipzig: 44.6 per 100,000 peopleLeipzig44.6Kassel: 43.2 per 100,000 peopleKassel43.2Gießen: 42.7 per 100,000 peopleGießen42.7Mittelfranken: 41.2 per 100,000 peopleMittelfranken41.2Oberfranken: 40.3 per 100,000 peopleOberfranken40.3Thüringen: 39.4 per 100,000 peopleThüringen39.4Freiburg: 39 per 100,000 peopleFreiburg39Oberpfalz: 37.8 per 100,000 peopleOberpfalz37.8Stuttgart: 36.9 per 100,000 peopleStuttgart36.9Dresden: 35.7 per 100,000 peopleDresden35.7Niederbayern: 35.5 per 100,000 peopleNiederbayern35.5Oberbayern: 35.2 per 100,000 peopleOberbayern35.2Unterfranken: 35.1 per 100,000 peopleUnterfranken35.1Chemnitz: 34.5 per 100,000 peopleChemnitz34.5Schwaben: 34.4 per 100,000 peopleSchwaben34.4Tübingen: 33 per 100,000 peopleTübingen33
per 100,000 people. Source: Eurostat, Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 C33_C34 (hlth_cd_asdr2). Retrieved 2026-10-12.

Full ranking

RankRegions2020
per 100,000 people		Change on 2019
1Bremen65.1+4.9 pts
2Düsseldorf60.6-0.6 pts
3Arnsberg60.5+1.8 pts
4Münster58.1-1.1 pts
5Schleswig-Holstein57.6-2.8 pts
6Hamburg56.6-2.5 pts
7Saarland56.3-5.2 pts
8Berlin56.2+0.6 pts
9Köln55.5-1.7 pts
10Lüneburg54.2+0.3 pts
11Trier52.8+5 pts
12Braunschweig52.2+0.3 pts
13Koblenz51.2+1.3 pts
14Sachsen-Anhalt50.2-3 pts
15Weser-Ems50.1-1.8 pts
16Hannover48.7-1.1 pts
17Mecklenburg-Vorpommern48-4.7 pts
18Brandenburg47.9+2.7 pts
19Detmold47.2-1.4 pts
20Rheinhessen-Pfalz47.2-3 pts
21Darmstadt45.3+1 pts
22Karlsruhe44.6+0.1 pts
23Leipzig44.6+4.5 pts
24Kassel43.2-1.2 pts
25Gießen42.7-6.6 pts
26Mittelfranken41.2+0.6 pts
27Oberfranken40.3-0.8 pts
28Thüringen39.4-1.2 pts
29Freiburg39+1 pts
30Oberpfalz37.8-4.5 pts
31Stuttgart36.9+2.2 pts
32Dresden35.7+2.2 pts
33Niederbayern35.5-5.2 pts
34Oberbayern35.2+1 pts
35Unterfranken35.1+0.8 pts
36Chemnitz34.5-2.9 pts
37Schwaben34.4-1 pts
38Tübingen33-2.9 pts

Other periods

About this ranking

Deaths from [object Object] (ICD-10 C33 and C34) 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 C33_C34 (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 C33_C34 (hlth_cd_asdr2) (Regions of Germany (NUTS 2) by lung 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 C33_C34 (hlth_cd_asdr2), Regions of Germany (NUTS 2) by lung 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/lung-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 C33_C34 (hlth_cd_asdr2). Regions of Germany (NUTS 2) by lung 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/lung-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 C33_C34 (hlth_cd_asdr2), Regions of Germany (NUTS 2) by lung 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/lung-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 C33\_C34 (hlth\_cd\_asdr2): Regions of Germany (NUTS 2) by lung 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/lung-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 C33\_C34 (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 C33_C34 (hlth_cd_asdr2): Regions of Germany (NUTS 2) by lung 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/lung-cancer-death-rate/germany-regions?period=2020
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/lung-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 C33_C34 (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 lung cancer death rate (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_lung_cancer","level":"region","within":"Germany","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_lung_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 lung cancer death rate (age-standardised)?

Bremen, with 65.1 per 100,000 people in 2020, according to Eurostat, European Commission.

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

Tübingen, with 33 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 C33_C34 (hlth_cd_asdr2). Retrieved 2026-10-12.

Lung cancer death rate (age-standardised): other rankings

Regions of Germany (NUTS 2): more rankings