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

Chemnitz had the highest suicide death rate (age-standardised) of 38 regions in 2022, at 15.4 per 100,000 people. Düsseldorf had the lowest, at 7.1 per 100,000 people. The median was 12 per 100,000 people and the figure for Germany was 11.2 per 100,000 people. Source: Eurostat, European Commission.

Keep it in a collection in your library.
Highest15.4Chemnitz
Lowest7.1Düsseldorf
Median1238 regions
Germany11.2History

All regions, 2022

Chemnitz: 15.4 per 100,000 peopleChemnitz15.4Leipzig: 15.1 per 100,000 peopleLeipzig15.1Tübingen: 14.6 per 100,000 peopleTübingen14.6Dresden: 14.2 per 100,000 peopleDresden14.2Niederbayern: 14 per 100,000 peopleNiederbayern14Oberfranken: 13.7 per 100,000 peopleOberfranken13.7Sachsen-Anhalt: 13.7 per 100,000 peopleSachsen-Anhalt13.7Hamburg: 13.6 per 100,000 peopleHamburg13.6Mittelfranken: 13.6 per 100,000 peopleMittelfranken13.6Schwaben: 13.3 per 100,000 peopleSchwaben13.3Gießen: 13.2 per 100,000 peopleGießen13.2Koblenz: 13.1 per 100,000 peopleKoblenz13.1Oberbayern: 12.9 per 100,000 peopleOberbayern12.9Schleswig-Holstein: 12.5 per 100,000 peopleSchleswig-Holstein12.5Darmstadt: 12.4 per 100,000 peopleDarmstadt12.4Rheinhessen-Pfalz: 12.3 per 100,000 peopleRheinhessen-Pfalz12.3Mecklenburg-Vorpommern: 12.2 per 100,000 peopleMecklenburg-Vorpommern12.2Brandenburg: 12.2 per 100,000 peopleBrandenburg12.2Oberpfalz: 12.1 per 100,000 peopleOberpfalz12.1Freiburg: 11.9 per 100,000 peopleFreiburg11.9Berlin: 11.9 per 100,000 peopleBerlin11.9Trier: 11.9 per 100,000 peopleTrier11.9Hannover: 11.8 per 100,000 peopleHannover11.8Stuttgart: 11.3 per 100,000 peopleStuttgart11.3Unterfranken: 11.2 per 100,000 peopleUnterfranken11.2Thüringen: 10.9 per 100,000 peopleThüringen10.9Kassel: 10.6 per 100,000 peopleKassel10.6Weser-Ems: 10.2 per 100,000 peopleWeser-Ems10.2Braunschweig: 9.8 per 100,000 peopleBraunschweig9.8Karlsruhe: 9.5 per 100,000 peopleKarlsruhe9.5Saarland: 9.4 per 100,000 peopleSaarland9.4Lüneburg: 9.3 per 100,000 peopleLüneburg9.3Bremen: 8.3 per 100,000 peopleBremen8.3Detmold: 8.2 per 100,000 peopleDetmold8.2Münster: 7.9 per 100,000 peopleMünster7.9Arnsberg: 7.5 per 100,000 peopleArnsberg7.5Köln: 7.3 per 100,000 peopleKöln7.3Düsseldorf: 7.1 per 100,000 peopleDüsseldorf7.1Chemnitz: 15.4 per 100,000 peopleChemnitz15.4Leipzig: 15.1 per 100,000 peopleLeipzig15.1Tübingen: 14.6 per 100,000 peopleTübingen14.6Dresden: 14.2 per 100,000 peopleDresden14.2Niederbayern: 14 per 100,000 peopleNiederbayern14Oberfranken: 13.7 per 100,000 peopleOberfranken13.7Sachsen-Anhalt: 13.7 per 100,000 peopleSachsen-Anhalt13.7Hamburg: 13.6 per 100,000 peopleHamburg13.6Mittelfranken: 13.6 per 100,000 peopleMittelfranken13.6Schwaben: 13.3 per 100,000 peopleSchwaben13.3Gießen: 13.2 per 100,000 peopleGießen13.2Koblenz: 13.1 per 100,000 peopleKoblenz13.1Oberbayern: 12.9 per 100,000 peopleOberbayern12.9Schleswig-Holstein: 12.5 per 100,000 peopleSchleswig-Holstein12.5Darmstadt: 12.4 per 100,000 peopleDarmstadt12.4Rheinhessen-Pfalz: 12.3 per 100,000 peopleRheinhessen-Pfalz12.3Mecklenburg-Vorpommern: 12.2 per 100,000 peopleMecklenburg-Vorpommern12.2Brandenburg: 12.2 per 100,000 peopleBrandenburg12.2Oberpfalz: 12.1 per 100,000 peopleOberpfalz12.1Freiburg: 11.9 per 100,000 peopleFreiburg11.9Berlin: 11.9 per 100,000 peopleBerlin11.9Trier: 11.9 per 100,000 peopleTrier11.9Hannover: 11.8 per 100,000 peopleHannover11.8Stuttgart: 11.3 per 100,000 peopleStuttgart11.3Unterfranken: 11.2 per 100,000 peopleUnterfranken11.2Thüringen: 10.9 per 100,000 peopleThüringen10.9Kassel: 10.6 per 100,000 peopleKassel10.6Weser-Ems: 10.2 per 100,000 peopleWeser-Ems10.2Braunschweig: 9.8 per 100,000 peopleBraunschweig9.8Karlsruhe: 9.5 per 100,000 peopleKarlsruhe9.5Saarland: 9.4 per 100,000 peopleSaarland9.4Lüneburg: 9.3 per 100,000 peopleLüneburg9.3Bremen: 8.3 per 100,000 peopleBremen8.3Detmold: 8.2 per 100,000 peopleDetmold8.2Münster: 7.9 per 100,000 peopleMünster7.9Arnsberg: 7.5 per 100,000 peopleArnsberg7.5Köln: 7.3 per 100,000 peopleKöln7.3Düsseldorf: 7.1 per 100,000 peopleDüsseldorf7.1
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

RankRegions2022
per 100,000 people
Change on 2021
1Chemnitz15.4+1.3 pts
2Leipzig15.1+0.6 pts
3Tübingen14.6+3.6 pts
4Dresden14.2+1.3 pts
5Niederbayern14+2.4 pts
6Oberfranken13.7+2.6 pts
7Sachsen-Anhalt13.7+0.8 pts
8Hamburg13.6+2.6 pts
9Mittelfranken13.6+1 pts
10Schwaben13.3+2.1 pts
11Gießen13.2+1.4 pts
12Koblenz13.1+2.3 pts
13Oberbayern12.9+1.4 pts
14Schleswig-Holstein12.5+1.7 pts
15Darmstadt12.4+2.2 pts
16Rheinhessen-Pfalz12.3+1.1 pts
17Mecklenburg-Vorpommern12.2+1.4 pts
18Brandenburg12.2+1.8 pts
19Oberpfalz12.1+1 pts
20Freiburg11.9-0.2 pts
21Berlin11.9+0.1 pts
22Trier11.9+0.9 pts
23Hannover11.8+0.6 pts
24Stuttgart11.3+1.2 pts
25Unterfranken11.2+1 pts
26Thüringen10.9-2.6 pts
27Kassel10.6-0.3 pts
28Weser-Ems10.2+0.6 pts
29Braunschweig9.8+0.9 pts
30Karlsruhe9.5+0.2 pts
31Saarland9.4-1.9 pts
32Lüneburg9.3+0.4 pts
33Bremen8.3+0.2 pts
34Detmold8.2+0.5 pts
35Münster7.9+1.8 pts
36Arnsberg7.5-0.3 pts
37Köln7.3+1.1 pts
38Düsseldorf7.1-0.2 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), 2022) [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), 2022. 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=2022. 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), 2022. 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=2022.

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), 2022 [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=2022 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_germany_nuts_2022,
  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), 2022}},
  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=2022. 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), 2022
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=2022
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/suicide-death-rate-age-standardised/germany-regions?period=2022.
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)?

Chemnitz, with 15.4 per 100,000 people in 2022, according to Eurostat, European Commission.

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

Düsseldorf, with 7.1 per 100,000 people in 2022.

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