Regions of Germany (NUTS 2) by death rate from external causes (age-standardised)

Chemnitz had the highest death rate from external causes (age-standardised) of 38 regions in 2018, at 64.1 per 100,000 people. Hannover had the lowest, at 30.8 per 100,000 people. The median was 46.2 per 100,000 people and the figure for Germany was 46.2 per 100,000 people. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest64.1Chemnitz
Lowest30.8Hannover
Median46.238 regions
Germany46.2History

All regions, 2018

Chemnitz: 64.1 per 100,000 peopleChemnitz64.1Leipzig: 63.4 per 100,000 peopleLeipzig63.4Hamburg: 61.3 per 100,000 peopleHamburg61.3Dresden: 60.1 per 100,000 peopleDresden60.1Schleswig-Holstein: 56.9 per 100,000 peopleSchleswig-Holstein56.9Thüringen: 56 per 100,000 peopleThüringen56Freiburg: 54.1 per 100,000 peopleFreiburg54.1Oberbayern: 51.7 per 100,000 peopleOberbayern51.7Oberfranken: 51.6 per 100,000 peopleOberfranken51.6Tübingen: 50.8 per 100,000 peopleTübingen50.8Mecklenburg-Vorpommern: 50.2 per 100,000 peopleMecklenburg-Vorpommern50.2Mittelfranken: 49.1 per 100,000 peopleMittelfranken49.1Stuttgart: 48.8 per 100,000 peopleStuttgart48.8Sachsen-Anhalt: 47.7 per 100,000 peopleSachsen-Anhalt47.7Niederbayern: 47.5 per 100,000 peopleNiederbayern47.5Gießen: 46.7 per 100,000 peopleGießen46.7Brandenburg: 46.5 per 100,000 peopleBrandenburg46.5Schwaben: 46.4 per 100,000 peopleSchwaben46.4Karlsruhe: 46.4 per 100,000 peopleKarlsruhe46.4Oberpfalz: 46 per 100,000 peopleOberpfalz46Unterfranken: 45.9 per 100,000 peopleUnterfranken45.9Kassel: 45.5 per 100,000 peopleKassel45.5Koblenz: 44.2 per 100,000 peopleKoblenz44.2Darmstadt: 43.3 per 100,000 peopleDarmstadt43.3Trier: 43.2 per 100,000 peopleTrier43.2Berlin: 43.1 per 100,000 peopleBerlin43.1Köln: 42.3 per 100,000 peopleKöln42.3Rheinhessen-Pfalz: 42 per 100,000 peopleRheinhessen-Pfalz42Lüneburg: 41.2 per 100,000 peopleLüneburg41.2Saarland: 40.8 per 100,000 peopleSaarland40.8Braunschweig: 40.3 per 100,000 peopleBraunschweig40.3Detmold: 39.6 per 100,000 peopleDetmold39.6Arnsberg: 38.6 per 100,000 peopleArnsberg38.6Münster: 38.3 per 100,000 peopleMünster38.3Düsseldorf: 36 per 100,000 peopleDüsseldorf36Weser-Ems: 35.4 per 100,000 peopleWeser-Ems35.4Bremen: 33.2 per 100,000 peopleBremen33.2Hannover: 30.8 per 100,000 peopleHannover30.8Chemnitz: 64.1 per 100,000 peopleChemnitz64.1Leipzig: 63.4 per 100,000 peopleLeipzig63.4Hamburg: 61.3 per 100,000 peopleHamburg61.3Dresden: 60.1 per 100,000 peopleDresden60.1Schleswig-Holstein: 56.9 per 100,000 peopleSchleswig-Holstein56.9Thüringen: 56 per 100,000 peopleThüringen56Freiburg: 54.1 per 100,000 peopleFreiburg54.1Oberbayern: 51.7 per 100,000 peopleOberbayern51.7Oberfranken: 51.6 per 100,000 peopleOberfranken51.6Tübingen: 50.8 per 100,000 peopleTübingen50.8Mecklenburg-Vorpommern: 50.2 per 100,000 peopleMecklenburg-Vorpommern50.2Mittelfranken: 49.1 per 100,000 peopleMittelfranken49.1Stuttgart: 48.8 per 100,000 peopleStuttgart48.8Sachsen-Anhalt: 47.7 per 100,000 peopleSachsen-Anhalt47.7Niederbayern: 47.5 per 100,000 peopleNiederbayern47.5Gießen: 46.7 per 100,000 peopleGießen46.7Brandenburg: 46.5 per 100,000 peopleBrandenburg46.5Schwaben: 46.4 per 100,000 peopleSchwaben46.4Karlsruhe: 46.4 per 100,000 peopleKarlsruhe46.4Oberpfalz: 46 per 100,000 peopleOberpfalz46Unterfranken: 45.9 per 100,000 peopleUnterfranken45.9Kassel: 45.5 per 100,000 peopleKassel45.5Koblenz: 44.2 per 100,000 peopleKoblenz44.2Darmstadt: 43.3 per 100,000 peopleDarmstadt43.3Trier: 43.2 per 100,000 peopleTrier43.2Berlin: 43.1 per 100,000 peopleBerlin43.1Köln: 42.3 per 100,000 peopleKöln42.3Rheinhessen-Pfalz: 42 per 100,000 peopleRheinhessen-Pfalz42Lüneburg: 41.2 per 100,000 peopleLüneburg41.2Saarland: 40.8 per 100,000 peopleSaarland40.8Braunschweig: 40.3 per 100,000 peopleBraunschweig40.3Detmold: 39.6 per 100,000 peopleDetmold39.6Arnsberg: 38.6 per 100,000 peopleArnsberg38.6Münster: 38.3 per 100,000 peopleMünster38.3Düsseldorf: 36 per 100,000 peopleDüsseldorf36Weser-Ems: 35.4 per 100,000 peopleWeser-Ems35.4Bremen: 33.2 per 100,000 peopleBremen33.2Hannover: 30.8 per 100,000 peopleHannover30.8
per 100,000 people. Source: Eurostat, Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V01-Y89 (hlth_cd_asdr2). Retrieved 2026-10-12.

Full ranking

RankRegions2018
per 100,000 people
Change on 2017
1Chemnitz64.1+7 pts
2Leipzig63.4+2.8 pts
3Hamburg61.3-1.6 pts
4Dresden60.1+0.9 pts
5Schleswig-Holstein56.9+1.9 pts
6Thüringen56-2.6 pts
7Freiburg54.1+3.4 pts
8Oberbayern51.7+3.8 pts
9Oberfranken51.6+6.7 pts
10Tübingen50.8-2.9 pts
11Mecklenburg-Vorpommern50.2+8.1 pts
12Mittelfranken49.1+8.3 pts
13Stuttgart48.8+0.3 pts
14Sachsen-Anhalt47.7-1.1 pts
15Niederbayern47.5+4 pts
16Gießen46.7-1.8 pts
17Brandenburg46.5+1.6 pts
18Schwaben46.4-0 pts
19Karlsruhe46.4-1.3 pts
20Oberpfalz46+0.7 pts
21Unterfranken45.9+1 pts
22Kassel45.5+1.8 pts
23Koblenz44.2+0.1 pts
24Darmstadt43.3+1.3 pts
25Trier43.2+2.2 pts
26Berlin43.1+2.6 pts
27Köln42.3+0.9 pts
28Rheinhessen-Pfalz42+2.4 pts
29Lüneburg41.2+1.1 pts
30Saarland40.8-0.7 pts
31Braunschweig40.3+2.2 pts
32Detmold39.6+3 pts
33Arnsberg38.6+0.5 pts
34Münster38.3+2 pts
35Düsseldorf36-0.8 pts
36Weser-Ems35.4+1.2 pts
37Bremen33.2+5.9 pts
38Hannover30.8-0.2 pts

Other periods

About this ranking

Deaths from [object Object] (ICD-10 V01 to Y89) 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 V01-Y89 (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 V01-Y89 (hlth_cd_asdr2) (Regions of Germany (NUTS 2) by death rate from external causes (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 V01-Y89 (hlth_cd_asdr2), Regions of Germany (NUTS 2) by death rate from external causes (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/external-causes-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 V01-Y89 (hlth_cd_asdr2). Regions of Germany (NUTS 2) by death rate from external causes (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/external-causes-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 V01-Y89 (hlth_cd_asdr2), Regions of Germany (NUTS 2) by death rate from external causes (age-standardised), 2018 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table, via Invokely: https://invokely.ai/rankings/external-causes-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 V01-Y89 (hlth\_cd\_asdr2): Regions of Germany (NUTS 2) by death rate from external causes (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/external-causes-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 V01-Y89 (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 V01-Y89 (hlth_cd_asdr2): Regions of Germany (NUTS 2) by death rate from external causes (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/external-causes-death-rate/germany-regions?period=2018
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/external-causes-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 V01-Y89 (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 external causes (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_external_causes","level":"region","within":"Germany","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_external_causes&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 external causes (age-standardised)?

Chemnitz, with 64.1 per 100,000 people in 2018, according to Eurostat, European Commission.

Which region has the lowest death rate from external causes (age-standardised)?

Hannover, with 30.8 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 V01-Y89 (hlth_cd_asdr2). Retrieved 2026-10-12.

Death rate from external causes (age-standardised): other rankings

Regions of Germany (NUTS 2): more rankings