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

Weser-Ems had the highest death rate from respiratory diseases (age-standardised) of 38 regions in 2019, at 88.1 per 100,000 people. Dresden had the lowest, at 51.2 per 100,000 people. The median was 73.8 per 100,000 people and the figure for Germany was 70.5 per 100,000 people. Source: Eurostat, European Commission.

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Highest88.1Weser-Ems
Lowest51.2Dresden
Median73.838 regions
Germany70.5History

All regions, 2019

Weser-Ems: 88.1 per 100,000 peopleWeser-Ems88.1Kassel: 85 per 100,000 peopleKassel85Arnsberg: 81 per 100,000 peopleArnsberg81Bremen: 79.9 per 100,000 peopleBremen79.9Hannover: 79.4 per 100,000 peopleHannover79.4Münster: 77.9 per 100,000 peopleMünster77.9Oberfranken: 77.7 per 100,000 peopleOberfranken77.7Berlin: 77.4 per 100,000 peopleBerlin77.4Gießen: 76.5 per 100,000 peopleGießen76.5Oberpfalz: 76.3 per 100,000 peopleOberpfalz76.3Schleswig-Holstein: 75.8 per 100,000 peopleSchleswig-Holstein75.8Darmstadt: 75.8 per 100,000 peopleDarmstadt75.8Düsseldorf: 75.6 per 100,000 peopleDüsseldorf75.6Lüneburg: 75.4 per 100,000 peopleLüneburg75.4Braunschweig: 75.3 per 100,000 peopleBraunschweig75.3Koblenz: 75.1 per 100,000 peopleKoblenz75.1Mittelfranken: 75.1 per 100,000 peopleMittelfranken75.1Thüringen: 74.8 per 100,000 peopleThüringen74.8Detmold: 73.8 per 100,000 peopleDetmold73.8Köln: 73.7 per 100,000 peopleKöln73.7Rheinhessen-Pfalz: 72.5 per 100,000 peopleRheinhessen-Pfalz72.5Niederbayern: 72.4 per 100,000 peopleNiederbayern72.4Schwaben: 67.8 per 100,000 peopleSchwaben67.8Mecklenburg-Vorpommern: 67.6 per 100,000 peopleMecklenburg-Vorpommern67.6Hamburg: 67.4 per 100,000 peopleHamburg67.4Karlsruhe: 65.6 per 100,000 peopleKarlsruhe65.6Brandenburg: 64.2 per 100,000 peopleBrandenburg64.2Trier: 63.2 per 100,000 peopleTrier63.2Oberbayern: 62.8 per 100,000 peopleOberbayern62.8Unterfranken: 62.4 per 100,000 peopleUnterfranken62.4Saarland: 62.1 per 100,000 peopleSaarland62.1Freiburg: 60.4 per 100,000 peopleFreiburg60.4Leipzig: 60.4 per 100,000 peopleLeipzig60.4Stuttgart: 59.5 per 100,000 peopleStuttgart59.5Tübingen: 57.4 per 100,000 peopleTübingen57.4Sachsen-Anhalt: 54.8 per 100,000 peopleSachsen-Anhalt54.8Chemnitz: 52.9 per 100,000 peopleChemnitz52.9Dresden: 51.2 per 100,000 peopleDresden51.2Weser-Ems: 88.1 per 100,000 peopleWeser-Ems88.1Kassel: 85 per 100,000 peopleKassel85Arnsberg: 81 per 100,000 peopleArnsberg81Bremen: 79.9 per 100,000 peopleBremen79.9Hannover: 79.4 per 100,000 peopleHannover79.4Münster: 77.9 per 100,000 peopleMünster77.9Oberfranken: 77.7 per 100,000 peopleOberfranken77.7Berlin: 77.4 per 100,000 peopleBerlin77.4Gießen: 76.5 per 100,000 peopleGießen76.5Oberpfalz: 76.3 per 100,000 peopleOberpfalz76.3Schleswig-Holstein: 75.8 per 100,000 peopleSchleswig-Holstein75.8Darmstadt: 75.8 per 100,000 peopleDarmstadt75.8Düsseldorf: 75.6 per 100,000 peopleDüsseldorf75.6Lüneburg: 75.4 per 100,000 peopleLüneburg75.4Braunschweig: 75.3 per 100,000 peopleBraunschweig75.3Koblenz: 75.1 per 100,000 peopleKoblenz75.1Mittelfranken: 75.1 per 100,000 peopleMittelfranken75.1Thüringen: 74.8 per 100,000 peopleThüringen74.8Detmold: 73.8 per 100,000 peopleDetmold73.8Köln: 73.7 per 100,000 peopleKöln73.7Rheinhessen-Pfalz: 72.5 per 100,000 peopleRheinhessen-Pfalz72.5Niederbayern: 72.4 per 100,000 peopleNiederbayern72.4Schwaben: 67.8 per 100,000 peopleSchwaben67.8Mecklenburg-Vorpommern: 67.6 per 100,000 peopleMecklenburg-Vorpommern67.6Hamburg: 67.4 per 100,000 peopleHamburg67.4Karlsruhe: 65.6 per 100,000 peopleKarlsruhe65.6Brandenburg: 64.2 per 100,000 peopleBrandenburg64.2Trier: 63.2 per 100,000 peopleTrier63.2Oberbayern: 62.8 per 100,000 peopleOberbayern62.8Unterfranken: 62.4 per 100,000 peopleUnterfranken62.4Saarland: 62.1 per 100,000 peopleSaarland62.1Freiburg: 60.4 per 100,000 peopleFreiburg60.4Leipzig: 60.4 per 100,000 peopleLeipzig60.4Stuttgart: 59.5 per 100,000 peopleStuttgart59.5Tübingen: 57.4 per 100,000 peopleTübingen57.4Sachsen-Anhalt: 54.8 per 100,000 peopleSachsen-Anhalt54.8Chemnitz: 52.9 per 100,000 peopleChemnitz52.9Dresden: 51.2 per 100,000 peopleDresden51.2
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

RankRegions2019
per 100,000 people
Change on 2018
1Weser-Ems88.1-9.8 pts
2Kassel85-2.7 pts
3Arnsberg81-8 pts
4Bremen79.9-23.2 pts
5Hannover79.4-4.4 pts
6Münster77.9-9.2 pts
7Oberfranken77.7-12.5 pts
8Berlin77.4-9 pts
9Gießen76.5-7.7 pts
10Oberpfalz76.3-7.6 pts
11Schleswig-Holstein75.8-12.8 pts
12Darmstadt75.8-2.3 pts
13Düsseldorf75.6-7.1 pts
14Lüneburg75.4-8.5 pts
15Braunschweig75.3-5.2 pts
16Koblenz75.1-10.8 pts
17Mittelfranken75.1-6.2 pts
18Thüringen74.8-4.5 pts
19Detmold73.8-6.2 pts
20Köln73.7-4.7 pts
21Rheinhessen-Pfalz72.5-2.4 pts
22Niederbayern72.4-8.4 pts
23Schwaben67.8+1 pts
24Mecklenburg-Vorpommern67.6-0.5 pts
25Hamburg67.4-2.6 pts
26Karlsruhe65.6-7.7 pts
27Brandenburg64.2-7 pts
28Trier63.2-11.6 pts
29Oberbayern62.8-1.4 pts
30Unterfranken62.4-7.2 pts
31Saarland62.1-7.3 pts
32Freiburg60.4-7 pts
33Leipzig60.4-12 pts
34Stuttgart59.5-6.2 pts
35Tübingen57.4-11.4 pts
36Sachsen-Anhalt54.8-10.7 pts
37Chemnitz52.9-4.4 pts
38Dresden51.2-3.5 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), 2019) [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), 2019. 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=2019. 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), 2019. 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=2019.

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), 2019 [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=2019 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_germany_nuts_2019,
  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), 2019}},
  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=2019. 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), 2019
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=2019
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/respiratory-disease-death-rate/germany-regions?period=2019.
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)?

Weser-Ems, with 88.1 per 100,000 people in 2019, according to Eurostat, European Commission.

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

Dresden, with 51.2 per 100,000 people in 2019.

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