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

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

Hamburg had the highest death rate from external causes (age-standardised) of 38 regions in 2013, at 60.2 per 100,000 people. Bremen had the lowest, at 27 per 100,000 people. The median was 39.1 per 100,000 people and the figure for Germany was 41.4 per 100,000 people. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest60.2Hamburg
Lowest27Bremen
Median39.138 regions
Germany41.4History

All regions, 2013

Hamburg: 60.2 per 100,000 peopleHamburg60.2Chemnitz: 59.3 per 100,000 peopleChemnitz59.3Leipzig: 57.2 per 100,000 peopleLeipzig57.2Thüringen: 53.6 per 100,000 peopleThüringen53.6Freiburg: 52.5 per 100,000 peopleFreiburg52.5Tübingen: 49.6 per 100,000 peopleTübingen49.6Sachsen-Anhalt: 49 per 100,000 peopleSachsen-Anhalt49Mecklenburg-Vorpommern: 46.9 per 100,000 peopleMecklenburg-Vorpommern46.9Stuttgart: 45.4 per 100,000 peopleStuttgart45.4Dresden: 45.4 per 100,000 peopleDresden45.4Brandenburg: 45.3 per 100,000 peopleBrandenburg45.3Lüneburg: 44.8 per 100,000 peopleLüneburg44.8Karlsruhe: 42.6 per 100,000 peopleKarlsruhe42.6Niederbayern: 41.3 per 100,000 peopleNiederbayern41.3Darmstadt: 40.9 per 100,000 peopleDarmstadt40.9Koblenz: 40.2 per 100,000 peopleKoblenz40.2Saarland: 39.7 per 100,000 peopleSaarland39.7Rheinhessen-Pfalz: 39.3 per 100,000 peopleRheinhessen-Pfalz39.3Oberpfalz: 39.1 per 100,000 peopleOberpfalz39.1Weser-Ems: 39.1 per 100,000 peopleWeser-Ems39.1Berlin: 38.9 per 100,000 peopleBerlin38.9Hannover: 38.6 per 100,000 peopleHannover38.6Oberfranken: 38.2 per 100,000 peopleOberfranken38.2Kassel: 38 per 100,000 peopleKassel38Gießen: 37.9 per 100,000 peopleGießen37.9Arnsberg: 37.3 per 100,000 peopleArnsberg37.3Düsseldorf: 37.3 per 100,000 peopleDüsseldorf37.3Braunschweig: 37.2 per 100,000 peopleBraunschweig37.2Trier: 37.2 per 100,000 peopleTrier37.2Schwaben: 36.9 per 100,000 peopleSchwaben36.9Köln: 36.9 per 100,000 peopleKöln36.9Detmold: 35.7 per 100,000 peopleDetmold35.7Oberbayern: 33.9 per 100,000 peopleOberbayern33.9Unterfranken: 33.8 per 100,000 peopleUnterfranken33.8Mittelfranken: 33.7 per 100,000 peopleMittelfranken33.7Münster: 33.2 per 100,000 peopleMünster33.2Schleswig-Holstein: 32.2 per 100,000 peopleSchleswig-Holstein32.2Bremen: 27 per 100,000 peopleBremen27Hamburg: 60.2 per 100,000 peopleHamburg60.2Chemnitz: 59.3 per 100,000 peopleChemnitz59.3Leipzig: 57.2 per 100,000 peopleLeipzig57.2Thüringen: 53.6 per 100,000 peopleThüringen53.6Freiburg: 52.5 per 100,000 peopleFreiburg52.5Tübingen: 49.6 per 100,000 peopleTübingen49.6Sachsen-Anhalt: 49 per 100,000 peopleSachsen-Anhalt49Mecklenburg-Vorpommern: 46.9 per 100,000 peopleMecklenburg-Vorpommern46.9Stuttgart: 45.4 per 100,000 peopleStuttgart45.4Dresden: 45.4 per 100,000 peopleDresden45.4Brandenburg: 45.3 per 100,000 peopleBrandenburg45.3Lüneburg: 44.8 per 100,000 peopleLüneburg44.8Karlsruhe: 42.6 per 100,000 peopleKarlsruhe42.6Niederbayern: 41.3 per 100,000 peopleNiederbayern41.3Darmstadt: 40.9 per 100,000 peopleDarmstadt40.9Koblenz: 40.2 per 100,000 peopleKoblenz40.2Saarland: 39.7 per 100,000 peopleSaarland39.7Rheinhessen-Pfalz: 39.3 per 100,000 peopleRheinhessen-Pfalz39.3Oberpfalz: 39.1 per 100,000 peopleOberpfalz39.1Weser-Ems: 39.1 per 100,000 peopleWeser-Ems39.1Berlin: 38.9 per 100,000 peopleBerlin38.9Hannover: 38.6 per 100,000 peopleHannover38.6Oberfranken: 38.2 per 100,000 peopleOberfranken38.2Kassel: 38 per 100,000 peopleKassel38Gießen: 37.9 per 100,000 peopleGießen37.9Arnsberg: 37.3 per 100,000 peopleArnsberg37.3Düsseldorf: 37.3 per 100,000 peopleDüsseldorf37.3Braunschweig: 37.2 per 100,000 peopleBraunschweig37.2Trier: 37.2 per 100,000 peopleTrier37.2Schwaben: 36.9 per 100,000 peopleSchwaben36.9Köln: 36.9 per 100,000 peopleKöln36.9Detmold: 35.7 per 100,000 peopleDetmold35.7Oberbayern: 33.9 per 100,000 peopleOberbayern33.9Unterfranken: 33.8 per 100,000 peopleUnterfranken33.8Mittelfranken: 33.7 per 100,000 peopleMittelfranken33.7Münster: 33.2 per 100,000 peopleMünster33.2Schleswig-Holstein: 32.2 per 100,000 peopleSchleswig-Holstein32.2Bremen: 27 per 100,000 peopleBremen27
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

RankRegions2013
per 100,000 people		Change on 2012
1Hamburg60.2+4.6 pts
2Chemnitz59.3+5.1 pts
3Leipzig57.2+2.1 pts
4Thüringen53.6-3.3 pts
5Freiburg52.5-3.9 pts
6Tübingen49.6+0.1 pts
7Sachsen-Anhalt49+2.6 pts
8Mecklenburg-Vorpommern46.9+4 pts
9Stuttgart45.4+3.5 pts
10Dresden45.4+1.4 pts
11Brandenburg45.3+6.4 pts
12Lüneburg44.8+2.2 pts
13Karlsruhe42.6+2.7 pts
14Niederbayern41.3+3.5 pts
15Darmstadt40.9+0.7 pts
16Koblenz40.2+4.7 pts
17Saarland39.7-1.4 pts
18Rheinhessen-Pfalz39.3+5.6 pts
19Oberpfalz39.1+1.1 pts
20Weser-Ems39.1+0.8 pts
21Berlin38.9+2 pts
22Hannover38.6-0.8 pts
23Oberfranken38.2+2.4 pts
24Kassel38-5.5 pts
25Gießen37.9-7.3 pts
26Arnsberg37.3+3.3 pts
27Düsseldorf37.3+1.2 pts
28Braunschweig37.2-5.6 pts
29Trier37.2-0.6 pts
30Schwaben36.9+0.3 pts
31Köln36.9+1.2 pts
32Detmold35.7+1.3 pts
33Oberbayern33.9-1.2 pts
34Unterfranken33.8+0.8 pts
35Mittelfranken33.7+2.8 pts
36Münster33.2-0.2 pts
37Schleswig-Holstein32.2+2.9 pts
38Bremen27-3.2 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), 2013) [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), 2013. 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=2013. 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), 2013. 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=2013.

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), 2013 [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=2013 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_germany_nuts_2013,
  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), 2013}},
  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=2013. 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), 2013
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=2013
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/external-causes-death-rate/germany-regions?period=2013.
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)?

Hamburg, with 60.2 per 100,000 people in 2013, according to Eurostat, European Commission.

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

Bremen, with 27 per 100,000 people in 2013.

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