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

Arnsberg had the highest death rate from respiratory diseases (age-standardised) of 38 regions in 2012, at 98.1 per 100,000 people. Chemnitz had the lowest, at 46.2 per 100,000 people. The median was 72.3 per 100,000 people and the figure for Germany was 73.5 per 100,000 people. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest98.1Arnsberg
Lowest46.2Chemnitz
Median72.338 regions
Germany73.5History

All regions, 2012

Arnsberg: 98.1 per 100,000 peopleArnsberg98.1Münster: 93.8 per 100,000 peopleMünster93.8Düsseldorf: 90.8 per 100,000 peopleDüsseldorf90.8Köln: 88.1 per 100,000 peopleKöln88.1Schleswig-Holstein: 88.1 per 100,000 peopleSchleswig-Holstein88.1Detmold: 85 per 100,000 peopleDetmold85Mittelfranken: 82.2 per 100,000 peopleMittelfranken82.2Bremen: 79.9 per 100,000 peopleBremen79.9Gießen: 79.5 per 100,000 peopleGießen79.5Berlin: 79 per 100,000 peopleBerlin79Weser-Ems: 78.3 per 100,000 peopleWeser-Ems78.3Kassel: 78.2 per 100,000 peopleKassel78.2Mecklenburg-Vorpommern: 78 per 100,000 peopleMecklenburg-Vorpommern78Hannover: 77 per 100,000 peopleHannover77Brandenburg: 76.2 per 100,000 peopleBrandenburg76.2Oberpfalz: 74.7 per 100,000 peopleOberpfalz74.7Thüringen: 74.3 per 100,000 peopleThüringen74.3Braunschweig: 73.9 per 100,000 peopleBraunschweig73.9Lüneburg: 72.4 per 100,000 peopleLüneburg72.4Oberfranken: 72.2 per 100,000 peopleOberfranken72.2Niederbayern: 71.2 per 100,000 peopleNiederbayern71.2Darmstadt: 70.8 per 100,000 peopleDarmstadt70.8Koblenz: 70.7 per 100,000 peopleKoblenz70.7Karlsruhe: 65.4 per 100,000 peopleKarlsruhe65.4Rheinhessen-Pfalz: 65.4 per 100,000 peopleRheinhessen-Pfalz65.4Unterfranken: 64.1 per 100,000 peopleUnterfranken64.1Oberbayern: 63.3 per 100,000 peopleOberbayern63.3Hamburg: 62.4 per 100,000 peopleHamburg62.4Saarland: 62 per 100,000 peopleSaarland62Schwaben: 60.7 per 100,000 peopleSchwaben60.7Trier: 59.1 per 100,000 peopleTrier59.1Freiburg: 58.9 per 100,000 peopleFreiburg58.9Tübingen: 58.3 per 100,000 peopleTübingen58.3Sachsen-Anhalt: 53.8 per 100,000 peopleSachsen-Anhalt53.8Leipzig: 52.1 per 100,000 peopleLeipzig52.1Stuttgart: 51.8 per 100,000 peopleStuttgart51.8Dresden: 51 per 100,000 peopleDresden51Chemnitz: 46.2 per 100,000 peopleChemnitz46.2Arnsberg: 98.1 per 100,000 peopleArnsberg98.1Münster: 93.8 per 100,000 peopleMünster93.8Düsseldorf: 90.8 per 100,000 peopleDüsseldorf90.8Köln: 88.1 per 100,000 peopleKöln88.1Schleswig-Holstein: 88.1 per 100,000 peopleSchleswig-Holstein88.1Detmold: 85 per 100,000 peopleDetmold85Mittelfranken: 82.2 per 100,000 peopleMittelfranken82.2Bremen: 79.9 per 100,000 peopleBremen79.9Gießen: 79.5 per 100,000 peopleGießen79.5Berlin: 79 per 100,000 peopleBerlin79Weser-Ems: 78.3 per 100,000 peopleWeser-Ems78.3Kassel: 78.2 per 100,000 peopleKassel78.2Mecklenburg-Vorpommern: 78 per 100,000 peopleMecklenburg-Vorpommern78Hannover: 77 per 100,000 peopleHannover77Brandenburg: 76.2 per 100,000 peopleBrandenburg76.2Oberpfalz: 74.7 per 100,000 peopleOberpfalz74.7Thüringen: 74.3 per 100,000 peopleThüringen74.3Braunschweig: 73.9 per 100,000 peopleBraunschweig73.9Lüneburg: 72.4 per 100,000 peopleLüneburg72.4Oberfranken: 72.2 per 100,000 peopleOberfranken72.2Niederbayern: 71.2 per 100,000 peopleNiederbayern71.2Darmstadt: 70.8 per 100,000 peopleDarmstadt70.8Koblenz: 70.7 per 100,000 peopleKoblenz70.7Karlsruhe: 65.4 per 100,000 peopleKarlsruhe65.4Rheinhessen-Pfalz: 65.4 per 100,000 peopleRheinhessen-Pfalz65.4Unterfranken: 64.1 per 100,000 peopleUnterfranken64.1Oberbayern: 63.3 per 100,000 peopleOberbayern63.3Hamburg: 62.4 per 100,000 peopleHamburg62.4Saarland: 62 per 100,000 peopleSaarland62Schwaben: 60.7 per 100,000 peopleSchwaben60.7Trier: 59.1 per 100,000 peopleTrier59.1Freiburg: 58.9 per 100,000 peopleFreiburg58.9Tübingen: 58.3 per 100,000 peopleTübingen58.3Sachsen-Anhalt: 53.8 per 100,000 peopleSachsen-Anhalt53.8Leipzig: 52.1 per 100,000 peopleLeipzig52.1Stuttgart: 51.8 per 100,000 peopleStuttgart51.8Dresden: 51 per 100,000 peopleDresden51Chemnitz: 46.2 per 100,000 peopleChemnitz46.2
per 100,000 people. Source: Eurostat, Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (hlth_cd_asdr2). Retrieved 2026-10-12.

Full ranking

RankRegions2012
per 100,000 people
Change on 2011
1Arnsberg98.1+0.9 pts
2Münster93.8-0.8 pts
3Düsseldorf90.8+0.8 pts
4Köln88.10 pts
4Schleswig-Holstein88.1-0.5 pts
6Detmold85-2 pts
7Mittelfranken82.2-1.1 pts
8Bremen79.9-8 pts
9Gießen79.5+2.5 pts
10Berlin79-3.9 pts
11Weser-Ems78.3+1.8 pts
12Kassel78.2+2.3 pts
13Mecklenburg-Vorpommern78-2 pts
14Hannover77+1.2 pts
15Brandenburg76.2-3.4 pts
16Oberpfalz74.7-5.4 pts
17Thüringen74.3-1.8 pts
18Braunschweig73.9-4 pts
19Lüneburg72.4-4.8 pts
20Oberfranken72.2-1.3 pts
21Niederbayern71.2-7.5 pts
22Darmstadt70.8-2.4 pts
23Koblenz70.7-0.1 pts
24Karlsruhe65.4-1 pts
25Rheinhessen-Pfalz65.4-1.3 pts
26Unterfranken64.1+0.4 pts
27Oberbayern63.3-1 pts
28Hamburg62.4+8.1 pts
29Saarland62-1 pts
30Schwaben60.7-5.1 pts
31Trier59.1-2.2 pts
32Freiburg58.9+0.1 pts
33Tübingen58.3+1.6 pts
34Sachsen-Anhalt53.8+0.5 pts
35Leipzig52.1-2.8 pts
36Stuttgart51.8-1.1 pts
37Dresden51-0.8 pts
38Chemnitz46.2-3.1 pts

Other periods

About this ranking

Deaths from [object Object] (ICD-10 J00 to J99) 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).

COVID-19 is coded separately (U07) and is not included. 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 J (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 J (hlth_cd_asdr2) (Regions of Germany (NUTS 2) by death rate from respiratory diseases (age-standardised), 2012) [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 J (hlth_cd_asdr2), Regions of Germany (NUTS 2) by death rate from respiratory diseases (age-standardised), 2012. Eurostat, European Commission, 8 June 2026, https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Invokely, https://invokely.ai/rankings/respiratory-disease-death-rate/germany-regions?period=2012. 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 J (hlth_cd_asdr2). Regions of Germany (NUTS 2) by death rate from respiratory diseases (age-standardised), 2012. 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/respiratory-disease-death-rate/germany-regions?period=2012.

Harvard

Eurostat, European Commission (2026) Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (hlth_cd_asdr2), Regions of Germany (NUTS 2) by death rate from respiratory diseases (age-standardised), 2012 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table, via Invokely: https://invokely.ai/rankings/respiratory-disease-death-rate/germany-regions?period=2012 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_germany_nuts_2012,
  author = {{Eurostat, European Commission}},
  title = {{Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (hlth\_cd\_asdr2): Regions of Germany (NUTS 2) by death rate from respiratory diseases (age-standardised), 2012}},
  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/respiratory-disease-death-rate/germany-regions?period=2012. Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (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 J (hlth_cd_asdr2): Regions of Germany (NUTS 2) by death rate from respiratory diseases (age-standardised), 2012
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/respiratory-disease-death-rate/germany-regions?period=2012
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/respiratory-disease-death-rate/germany-regions?period=2012.
N1  - Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 J (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 respiratory diseases (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_respiratory","level":"region","within":"Germany","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_respiratory&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 respiratory diseases (age-standardised)?

Arnsberg, with 98.1 per 100,000 people in 2012, according to Eurostat, European Commission.

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

Chemnitz, with 46.2 per 100,000 people in 2012.

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 J (hlth_cd_asdr2). Retrieved 2026-10-12.

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

Regions of Germany (NUTS 2): more rankings