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

Thüringen had the highest death rate from external causes (age-standardised) of 38 regions in 2012, at 56.9 per 100,000 people. Schleswig-Holstein had the lowest, at 29.3 per 100,000 people. The median was 38.6 per 100,000 people and the figure for Germany was 40.6 per 100,000 people. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest56.9Thüringen
Median38.638 regions
Germany40.6History

All regions, 2012

Thüringen: 56.9 per 100,000 peopleThüringen56.9Freiburg: 56.4 per 100,000 peopleFreiburg56.4Hamburg: 55.7 per 100,000 peopleHamburg55.7Leipzig: 55.1 per 100,000 peopleLeipzig55.1Chemnitz: 54.2 per 100,000 peopleChemnitz54.2Tübingen: 49.5 per 100,000 peopleTübingen49.5Sachsen-Anhalt: 46.4 per 100,000 peopleSachsen-Anhalt46.4Gießen: 45.2 per 100,000 peopleGießen45.2Dresden: 43.9 per 100,000 peopleDresden43.9Kassel: 43.5 per 100,000 peopleKassel43.5Mecklenburg-Vorpommern: 42.9 per 100,000 peopleMecklenburg-Vorpommern42.9Braunschweig: 42.8 per 100,000 peopleBraunschweig42.8Lüneburg: 42.6 per 100,000 peopleLüneburg42.6Stuttgart: 42 per 100,000 peopleStuttgart42Saarland: 41.1 per 100,000 peopleSaarland41.1Darmstadt: 40.2 per 100,000 peopleDarmstadt40.2Karlsruhe: 39.8 per 100,000 peopleKarlsruhe39.8Hannover: 39.4 per 100,000 peopleHannover39.4Brandenburg: 38.9 per 100,000 peopleBrandenburg38.9Weser-Ems: 38.3 per 100,000 peopleWeser-Ems38.3Oberpfalz: 38 per 100,000 peopleOberpfalz38Niederbayern: 37.8 per 100,000 peopleNiederbayern37.8Trier: 37.8 per 100,000 peopleTrier37.8Berlin: 36.9 per 100,000 peopleBerlin36.9Schwaben: 36.6 per 100,000 peopleSchwaben36.6Düsseldorf: 36.1 per 100,000 peopleDüsseldorf36.1Oberfranken: 35.8 per 100,000 peopleOberfranken35.8Köln: 35.8 per 100,000 peopleKöln35.8Koblenz: 35.5 per 100,000 peopleKoblenz35.5Oberbayern: 35.1 per 100,000 peopleOberbayern35.1Detmold: 34.5 per 100,000 peopleDetmold34.5Arnsberg: 34 per 100,000 peopleArnsberg34Rheinhessen-Pfalz: 33.7 per 100,000 peopleRheinhessen-Pfalz33.7Münster: 33.4 per 100,000 peopleMünster33.4Unterfranken: 33 per 100,000 peopleUnterfranken33Mittelfranken: 30.9 per 100,000 peopleMittelfranken30.9Bremen: 30.1 per 100,000 peopleBremen30.1Schleswig-Holstein: 29.3 per 100,000 peopleSchleswig-Holstein29.3Thüringen: 56.9 per 100,000 peopleThüringen56.9Freiburg: 56.4 per 100,000 peopleFreiburg56.4Hamburg: 55.7 per 100,000 peopleHamburg55.7Leipzig: 55.1 per 100,000 peopleLeipzig55.1Chemnitz: 54.2 per 100,000 peopleChemnitz54.2Tübingen: 49.5 per 100,000 peopleTübingen49.5Sachsen-Anhalt: 46.4 per 100,000 peopleSachsen-Anhalt46.4Gießen: 45.2 per 100,000 peopleGießen45.2Dresden: 43.9 per 100,000 peopleDresden43.9Kassel: 43.5 per 100,000 peopleKassel43.5Mecklenburg-Vorpommern: 42.9 per 100,000 peopleMecklenburg-Vorpommern42.9Braunschweig: 42.8 per 100,000 peopleBraunschweig42.8Lüneburg: 42.6 per 100,000 peopleLüneburg42.6Stuttgart: 42 per 100,000 peopleStuttgart42Saarland: 41.1 per 100,000 peopleSaarland41.1Darmstadt: 40.2 per 100,000 peopleDarmstadt40.2Karlsruhe: 39.8 per 100,000 peopleKarlsruhe39.8Hannover: 39.4 per 100,000 peopleHannover39.4Brandenburg: 38.9 per 100,000 peopleBrandenburg38.9Weser-Ems: 38.3 per 100,000 peopleWeser-Ems38.3Oberpfalz: 38 per 100,000 peopleOberpfalz38Niederbayern: 37.8 per 100,000 peopleNiederbayern37.8Trier: 37.8 per 100,000 peopleTrier37.8Berlin: 36.9 per 100,000 peopleBerlin36.9Schwaben: 36.6 per 100,000 peopleSchwaben36.6Düsseldorf: 36.1 per 100,000 peopleDüsseldorf36.1Oberfranken: 35.8 per 100,000 peopleOberfranken35.8Köln: 35.8 per 100,000 peopleKöln35.8Koblenz: 35.5 per 100,000 peopleKoblenz35.5Oberbayern: 35.1 per 100,000 peopleOberbayern35.1Detmold: 34.5 per 100,000 peopleDetmold34.5Arnsberg: 34 per 100,000 peopleArnsberg34Rheinhessen-Pfalz: 33.7 per 100,000 peopleRheinhessen-Pfalz33.7Münster: 33.4 per 100,000 peopleMünster33.4Unterfranken: 33 per 100,000 peopleUnterfranken33Mittelfranken: 30.9 per 100,000 peopleMittelfranken30.9Bremen: 30.1 per 100,000 peopleBremen30.1Schleswig-Holstein: 29.3 per 100,000 peopleSchleswig-Holstein29.3
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

RankRegions2012
per 100,000 people
Change on 2011
1Thüringen56.9+2.3 pts
2Freiburg56.4+5 pts
3Hamburg55.7-2.4 pts
4Leipzig55.1+7.8 pts
5Chemnitz54.2+0.2 pts
6Tübingen49.5+1.8 pts
7Sachsen-Anhalt46.4+2.7 pts
8Gießen45.2+3 pts
9Dresden43.9+2.3 pts
10Kassel43.5-1.3 pts
11Mecklenburg-Vorpommern42.9-3.4 pts
12Braunschweig42.8+1.7 pts
13Lüneburg42.6-4.6 pts
14Stuttgart42-2.9 pts
15Saarland41.1+1 pts
16Darmstadt40.2-1.3 pts
17Karlsruhe39.8-1.5 pts
18Hannover39.4-3 pts
19Brandenburg38.9+0.6 pts
20Weser-Ems38.3-5.4 pts
21Oberpfalz38+2.7 pts
22Niederbayern37.8+1 pts
23Trier37.8-1.3 pts
24Berlin36.9+0.1 pts
25Schwaben36.6-0.3 pts
26Düsseldorf36.1+0.3 pts
27Oberfranken35.8+3.9 pts
28Köln35.8-1.7 pts
29Koblenz35.5+1.7 pts
30Oberbayern35.1-0.1 pts
31Detmold34.5-3.8 pts
32Arnsberg34-3.8 pts
33Rheinhessen-Pfalz33.7-3.1 pts
34Münster33.4-2.9 pts
35Unterfranken33+0.6 pts
36Mittelfranken30.9-3.4 pts
37Bremen30.1+2.4 pts
38Schleswig-Holstein29.3-1.5 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), 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 V01-Y89 (hlth_cd_asdr2), Regions of Germany (NUTS 2) by death rate from external causes (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/external-causes-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 V01-Y89 (hlth_cd_asdr2). Regions of Germany (NUTS 2) by death rate from external causes (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/external-causes-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 V01-Y89 (hlth_cd_asdr2), Regions of Germany (NUTS 2) by death rate from external causes (age-standardised), 2012 [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=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 V01-Y89 (hlth\_cd\_asdr2): Regions of Germany (NUTS 2) by death rate from external causes (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/external-causes-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 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), 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/external-causes-death-rate/germany-regions?period=2012
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/external-causes-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 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)?

Thüringen, with 56.9 per 100,000 people in 2012, according to Eurostat, European Commission.

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

Schleswig-Holstein, with 29.3 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 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