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

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

Bremen had the highest death rate from respiratory diseases (age-standardised) of 38 regions in 2018, at 103.1 per 100,000 people. Dresden had the lowest, at 54.7 per 100,000 people. The median was 78.8 per 100,000 people and the figure for Germany was 76.8 per 100,000 people. Source: Eurostat, European Commission.

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Highest103.1Bremen
Lowest54.7Dresden
Median78.838 regions
Germany76.8History

All regions, 2018

Bremen: 103.1 per 100,000 peopleBremen103.1Weser-Ems: 97.9 per 100,000 peopleWeser-Ems97.9Oberfranken: 90.2 per 100,000 peopleOberfranken90.2Arnsberg: 89 per 100,000 peopleArnsberg89Schleswig-Holstein: 88.6 per 100,000 peopleSchleswig-Holstein88.6Kassel: 87.7 per 100,000 peopleKassel87.7Münster: 87.1 per 100,000 peopleMünster87.1Berlin: 86.4 per 100,000 peopleBerlin86.4Koblenz: 85.9 per 100,000 peopleKoblenz85.9Gießen: 84.2 per 100,000 peopleGießen84.2Oberpfalz: 84 per 100,000 peopleOberpfalz84Lüneburg: 84 per 100,000 peopleLüneburg84Hannover: 83.8 per 100,000 peopleHannover83.8Düsseldorf: 82.7 per 100,000 peopleDüsseldorf82.7Mittelfranken: 81.2 per 100,000 peopleMittelfranken81.2Niederbayern: 80.8 per 100,000 peopleNiederbayern80.8Braunschweig: 80.5 per 100,000 peopleBraunschweig80.5Detmold: 80 per 100,000 peopleDetmold80Thüringen: 79.3 per 100,000 peopleThüringen79.3Köln: 78.4 per 100,000 peopleKöln78.4Darmstadt: 78.1 per 100,000 peopleDarmstadt78.1Rheinhessen-Pfalz: 74.9 per 100,000 peopleRheinhessen-Pfalz74.9Trier: 74.8 per 100,000 peopleTrier74.8Karlsruhe: 73.2 per 100,000 peopleKarlsruhe73.2Leipzig: 72.4 per 100,000 peopleLeipzig72.4Brandenburg: 71.3 per 100,000 peopleBrandenburg71.3Hamburg: 70 per 100,000 peopleHamburg70Unterfranken: 69.6 per 100,000 peopleUnterfranken69.6Saarland: 69.4 per 100,000 peopleSaarland69.4Tübingen: 68.8 per 100,000 peopleTübingen68.8Mecklenburg-Vorpommern: 68.1 per 100,000 peopleMecklenburg-Vorpommern68.1Freiburg: 67.5 per 100,000 peopleFreiburg67.5Schwaben: 66.7 per 100,000 peopleSchwaben66.7Stuttgart: 65.6 per 100,000 peopleStuttgart65.6Sachsen-Anhalt: 65.5 per 100,000 peopleSachsen-Anhalt65.5Oberbayern: 64.2 per 100,000 peopleOberbayern64.2Chemnitz: 57.4 per 100,000 peopleChemnitz57.4Dresden: 54.7 per 100,000 peopleDresden54.7Bremen: 103.1 per 100,000 peopleBremen103.1Weser-Ems: 97.9 per 100,000 peopleWeser-Ems97.9Oberfranken: 90.2 per 100,000 peopleOberfranken90.2Arnsberg: 89 per 100,000 peopleArnsberg89Schleswig-Holstein: 88.6 per 100,000 peopleSchleswig-Holstein88.6Kassel: 87.7 per 100,000 peopleKassel87.7Münster: 87.1 per 100,000 peopleMünster87.1Berlin: 86.4 per 100,000 peopleBerlin86.4Koblenz: 85.9 per 100,000 peopleKoblenz85.9Gießen: 84.2 per 100,000 peopleGießen84.2Oberpfalz: 84 per 100,000 peopleOberpfalz84Lüneburg: 84 per 100,000 peopleLüneburg84Hannover: 83.8 per 100,000 peopleHannover83.8Düsseldorf: 82.7 per 100,000 peopleDüsseldorf82.7Mittelfranken: 81.2 per 100,000 peopleMittelfranken81.2Niederbayern: 80.8 per 100,000 peopleNiederbayern80.8Braunschweig: 80.5 per 100,000 peopleBraunschweig80.5Detmold: 80 per 100,000 peopleDetmold80Thüringen: 79.3 per 100,000 peopleThüringen79.3Köln: 78.4 per 100,000 peopleKöln78.4Darmstadt: 78.1 per 100,000 peopleDarmstadt78.1Rheinhessen-Pfalz: 74.9 per 100,000 peopleRheinhessen-Pfalz74.9Trier: 74.8 per 100,000 peopleTrier74.8Karlsruhe: 73.2 per 100,000 peopleKarlsruhe73.2Leipzig: 72.4 per 100,000 peopleLeipzig72.4Brandenburg: 71.3 per 100,000 peopleBrandenburg71.3Hamburg: 70 per 100,000 peopleHamburg70Unterfranken: 69.6 per 100,000 peopleUnterfranken69.6Saarland: 69.4 per 100,000 peopleSaarland69.4Tübingen: 68.8 per 100,000 peopleTübingen68.8Mecklenburg-Vorpommern: 68.1 per 100,000 peopleMecklenburg-Vorpommern68.1Freiburg: 67.5 per 100,000 peopleFreiburg67.5Schwaben: 66.7 per 100,000 peopleSchwaben66.7Stuttgart: 65.6 per 100,000 peopleStuttgart65.6Sachsen-Anhalt: 65.5 per 100,000 peopleSachsen-Anhalt65.5Oberbayern: 64.2 per 100,000 peopleOberbayern64.2Chemnitz: 57.4 per 100,000 peopleChemnitz57.4Dresden: 54.7 per 100,000 peopleDresden54.7
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

RankRegions2018
per 100,000 people		Change on 2017
1Bremen103.1+6.6 pts
2Weser-Ems97.9+9.3 pts
3Oberfranken90.2-1 pts
4Arnsberg89+5.5 pts
5Schleswig-Holstein88.6+12.7 pts
6Kassel87.7+4.7 pts
7Münster87.1+1.6 pts
8Berlin86.4+1.9 pts
9Koblenz85.9+6.4 pts
10Gießen84.2+1.7 pts
11Oberpfalz84-2.8 pts
12Lüneburg84+10.7 pts
13Hannover83.8+6.5 pts
14Düsseldorf82.7+0.7 pts
15Mittelfranken81.2-11.5 pts
16Niederbayern80.8-5 pts
17Braunschweig80.5+4 pts
18Detmold80+4.2 pts
19Thüringen79.3+0.6 pts
20Köln78.4+2.2 pts
21Darmstadt78.1+2 pts
22Rheinhessen-Pfalz74.9+2.1 pts
23Trier74.8+9.8 pts
24Karlsruhe73.2+0.5 pts
25Leipzig72.4+9.6 pts
26Brandenburg71.3+1.3 pts
27Hamburg70+5.1 pts
28Unterfranken69.6-1.2 pts
29Saarland69.4+7.1 pts
30Tübingen68.8+5.4 pts
31Mecklenburg-Vorpommern68.1+3 pts
32Freiburg67.5+4 pts
33Schwaben66.7-5 pts
34Stuttgart65.6+2.9 pts
35Sachsen-Anhalt65.5+5.2 pts
36Oberbayern64.2-5.2 pts
37Chemnitz57.4+3 pts
38Dresden54.7-0.2 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), 2018) [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), 2018. 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=2018. 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), 2018. 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=2018.

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), 2018 [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=2018 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_germany_nuts_2018,
  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), 2018}},
  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=2018. 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), 2018
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=2018
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/respiratory-disease-death-rate/germany-regions?period=2018.
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  -
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Questions

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

Bremen, with 103.1 per 100,000 people in 2018, according to Eurostat, European Commission.

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

Dresden, with 54.7 per 100,000 people in 2018.

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