Data / Rankings / Suicide death rate (age-standardised) / Regions of Germany (NUTS 2)

Regions of Germany (NUTS 2) by suicide death rate (age-standardised)

Leipzig had the highest suicide death rate (age-standardised) of 38 regions in 2020, at 14.7 per 100,000 people. Münster had the lowest, at 6.6 per 100,000 people. The median was 10.8 per 100,000 people and the figure for Germany was 10.3 per 100,000 people. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest14.7Leipzig
Lowest6.6Münster
Median10.838 regions
Germany10.3History

All regions, 2020

Leipzig: 14.7 per 100,000 peopleLeipzig14.7Chemnitz: 14.1 per 100,000 peopleChemnitz14.1Sachsen-Anhalt: 13.5 per 100,000 peopleSachsen-Anhalt13.5Niederbayern: 13.4 per 100,000 peopleNiederbayern13.4Thüringen: 13 per 100,000 peopleThüringen13Tübingen: 12.7 per 100,000 peopleTübingen12.7Koblenz: 12.5 per 100,000 peopleKoblenz12.5Dresden: 11.9 per 100,000 peopleDresden11.9Mittelfranken: 11.9 per 100,000 peopleMittelfranken11.9Mecklenburg-Vorpommern: 11.7 per 100,000 peopleMecklenburg-Vorpommern11.7Schleswig-Holstein: 11.7 per 100,000 peopleSchleswig-Holstein11.7Darmstadt: 11.6 per 100,000 peopleDarmstadt11.6Hamburg: 11.6 per 100,000 peopleHamburg11.6Kassel: 11.5 per 100,000 peopleKassel11.5Hannover: 11.4 per 100,000 peopleHannover11.4Oberpfalz: 11.4 per 100,000 peopleOberpfalz11.4Freiburg: 11 per 100,000 peopleFreiburg11Oberfranken: 11 per 100,000 peopleOberfranken11Schwaben: 10.9 per 100,000 peopleSchwaben10.9Gießen: 10.8 per 100,000 peopleGießen10.8Berlin: 10.7 per 100,000 peopleBerlin10.7Lüneburg: 10.7 per 100,000 peopleLüneburg10.7Bremen: 10.6 per 100,000 peopleBremen10.6Oberbayern: 10.4 per 100,000 peopleOberbayern10.4Rheinhessen-Pfalz: 10.2 per 100,000 peopleRheinhessen-Pfalz10.2Unterfranken: 9.8 per 100,000 peopleUnterfranken9.8Weser-Ems: 9.6 per 100,000 peopleWeser-Ems9.6Brandenburg: 9.5 per 100,000 peopleBrandenburg9.5Braunschweig: 9.5 per 100,000 peopleBraunschweig9.5Stuttgart: 9.4 per 100,000 peopleStuttgart9.4Karlsruhe: 9.2 per 100,000 peopleKarlsruhe9.2Trier: 8.3 per 100,000 peopleTrier8.3Detmold: 8.1 per 100,000 peopleDetmold8.1Saarland: 8.1 per 100,000 peopleSaarland8.1Arnsberg: 7.5 per 100,000 peopleArnsberg7.5Köln: 7.1 per 100,000 peopleKöln7.1Düsseldorf: 6.8 per 100,000 peopleDüsseldorf6.8Münster: 6.6 per 100,000 peopleMünster6.6Leipzig: 14.7 per 100,000 peopleLeipzig14.7Chemnitz: 14.1 per 100,000 peopleChemnitz14.1Sachsen-Anhalt: 13.5 per 100,000 peopleSachsen-Anhalt13.5Niederbayern: 13.4 per 100,000 peopleNiederbayern13.4Thüringen: 13 per 100,000 peopleThüringen13Tübingen: 12.7 per 100,000 peopleTübingen12.7Koblenz: 12.5 per 100,000 peopleKoblenz12.5Dresden: 11.9 per 100,000 peopleDresden11.9Mittelfranken: 11.9 per 100,000 peopleMittelfranken11.9Mecklenburg-Vorpommern: 11.7 per 100,000 peopleMecklenburg-Vorpommern11.7Schleswig-Holstein: 11.7 per 100,000 peopleSchleswig-Holstein11.7Darmstadt: 11.6 per 100,000 peopleDarmstadt11.6Hamburg: 11.6 per 100,000 peopleHamburg11.6Kassel: 11.5 per 100,000 peopleKassel11.5Hannover: 11.4 per 100,000 peopleHannover11.4Oberpfalz: 11.4 per 100,000 peopleOberpfalz11.4Freiburg: 11 per 100,000 peopleFreiburg11Oberfranken: 11 per 100,000 peopleOberfranken11Schwaben: 10.9 per 100,000 peopleSchwaben10.9Gießen: 10.8 per 100,000 peopleGießen10.8Berlin: 10.7 per 100,000 peopleBerlin10.7Lüneburg: 10.7 per 100,000 peopleLüneburg10.7Bremen: 10.6 per 100,000 peopleBremen10.6Oberbayern: 10.4 per 100,000 peopleOberbayern10.4Rheinhessen-Pfalz: 10.2 per 100,000 peopleRheinhessen-Pfalz10.2Unterfranken: 9.8 per 100,000 peopleUnterfranken9.8Weser-Ems: 9.6 per 100,000 peopleWeser-Ems9.6Brandenburg: 9.5 per 100,000 peopleBrandenburg9.5Braunschweig: 9.5 per 100,000 peopleBraunschweig9.5Stuttgart: 9.4 per 100,000 peopleStuttgart9.4Karlsruhe: 9.2 per 100,000 peopleKarlsruhe9.2Trier: 8.3 per 100,000 peopleTrier8.3Detmold: 8.1 per 100,000 peopleDetmold8.1Saarland: 8.1 per 100,000 peopleSaarland8.1Arnsberg: 7.5 per 100,000 peopleArnsberg7.5Köln: 7.1 per 100,000 peopleKöln7.1Düsseldorf: 6.8 per 100,000 peopleDüsseldorf6.8Münster: 6.6 per 100,000 peopleMünster6.6
per 100,000 people. Source: Eurostat, Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 X60-X84_Y870 (hlth_cd_asdr2). Retrieved 2026-10-12.

Full ranking

RankRegions2020
per 100,000 people		Change on 2019
1Leipzig14.7+0.1 pts
2Chemnitz14.1+1.3 pts
3Sachsen-Anhalt13.5+0.4 pts
4Niederbayern13.4+3.1 pts
5Thüringen13+1.8 pts
6Tübingen12.7+1.6 pts
7Koblenz12.5+0.9 pts
8Dresden11.9+1.2 pts
9Mittelfranken11.9+1.3 pts
10Mecklenburg-Vorpommern11.7+0.1 pts
11Schleswig-Holstein11.7-0.4 pts
12Darmstadt11.6+0.9 pts
13Hamburg11.6-0.5 pts
14Kassel11.5-0.4 pts
15Hannover11.4+0.6 pts
16Oberpfalz11.4-2.4 pts
17Freiburg11-0.2 pts
17Oberfranken11+0.1 pts
19Schwaben10.9-0.3 pts
20Gießen10.8+0.4 pts
21Berlin10.7+0.8 pts
22Lüneburg10.7+0.9 pts
23Bremen10.6+2.2 pts
24Oberbayern10.4-0.7 pts
25Rheinhessen-Pfalz10.2-0.7 pts
26Unterfranken9.8+0.5 pts
27Weser-Ems9.6-0.2 pts
28Brandenburg9.5-0.2 pts
29Braunschweig9.5-0.2 pts
30Stuttgart9.4-1.1 pts
31Karlsruhe9.2-0.5 pts
32Trier8.3-3 pts
33Detmold8.1-0.6 pts
34Saarland8.1-2.9 pts
35Arnsberg7.5+0.9 pts
36Köln7.1+0.5 pts
37Düsseldorf6.8-0.6 pts
38Münster6.60 pts

Other periods

About this ranking

Deaths from [object Object] (ICD-10 X60 to X84 and Y87.0) 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).

suicide_rate (WHO) is a crude rate adjusted by WHO for under-reporting, so the two series differ. 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 X60-X84_Y870 (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 X60-X84_Y870 (hlth_cd_asdr2) (Regions of Germany (NUTS 2) by suicide death rate (age-standardised), 2020) [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 X60-X84_Y870 (hlth_cd_asdr2), Regions of Germany (NUTS 2) by suicide death rate (age-standardised), 2020. Eurostat, European Commission, 8 June 2026, https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Invokely, https://invokely.ai/rankings/suicide-death-rate-age-standardised/germany-regions?period=2020. 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 X60-X84_Y870 (hlth_cd_asdr2). Regions of Germany (NUTS 2) by suicide death rate (age-standardised), 2020. 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/suicide-death-rate-age-standardised/germany-regions?period=2020.

Harvard

Eurostat, European Commission (2026) Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 X60-X84_Y870 (hlth_cd_asdr2), Regions of Germany (NUTS 2) by suicide death rate (age-standardised), 2020 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table, via Invokely: https://invokely.ai/rankings/suicide-death-rate-age-standardised/germany-regions?period=2020 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_germany_nuts_2020,
  author = {{Eurostat, European Commission}},
  title = {{Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 X60-X84\_Y870 (hlth\_cd\_asdr2): Regions of Germany (NUTS 2) by suicide death rate (age-standardised), 2020}},
  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/suicide-death-rate-age-standardised/germany-regions?period=2020. Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 X60-X84\_Y870 (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 X60-X84_Y870 (hlth_cd_asdr2): Regions of Germany (NUTS 2) by suicide death rate (age-standardised), 2020
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/suicide-death-rate-age-standardised/germany-regions?period=2020
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/suicide-death-rate-age-standardised/germany-regions?period=2020.
N1  - Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 X60-X84_Y870 (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 suicide death rate (age-standardised) using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_suicide","level":"region","within":"Germany","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_suicide&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 suicide death rate (age-standardised)?

Leipzig, with 14.7 per 100,000 people in 2020, according to Eurostat, European Commission.

Which region has the lowest suicide death rate (age-standardised)?

Münster, with 6.6 per 100,000 people in 2020.

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 X60-X84_Y870 (hlth_cd_asdr2). Retrieved 2026-10-12.

Suicide death rate (age-standardised): other rankings

Regions of Germany (NUTS 2): more rankings