Regions of Germany (NUTS 2) by road deaths per million inhabitants

Sachsen-Anhalt had the highest road deaths per million inhabitants of 38 regions in 2023, at 61 per million inhabitants. Berlin had the lowest, at 9 per million inhabitants. The median was 35 per million inhabitants and the figure for Germany was 34 per million inhabitants. Source: Eurostat, European Commission.

Lowest9Berlin
Median3538 regions
Germany34History

All regions, 2023

Sachsen-Anhalt: 61 per million inhabitantsSachsen-Anhalt61Weser-Ems: 60 per million inhabitantsWeser-Ems60Lüneburg: 57 per million inhabitantsLüneburg57Niederbayern: 54 per million inhabitantsNiederbayern54Oberpfalz: 51 per million inhabitantsOberpfalz51Trier: 49 per million inhabitantsTrier49Tübingen: 49 per million inhabitantsTübingen49Dresden: 48 per million inhabitantsDresden48Braunschweig: 46 per million inhabitantsBraunschweig46Hannover: 46 per million inhabitantsHannover46Leipzig: 46 per million inhabitantsLeipzig46Thüringen: 46 per million inhabitantsThüringen46Schwaben: 45 per million inhabitantsSchwaben45Chemnitz: 44 per million inhabitantsChemnitz44Kassel: 44 per million inhabitantsKassel44Brandenburg: 42 per million inhabitantsBrandenburg42Unterfranken: 41 per million inhabitantsUnterfranken41Gießen: 36 per million inhabitantsGießen36Mecklenburg-Vorpommern: 36 per million inhabitantsMecklenburg-Vorpommern36Saarland: 34 per million inhabitantsSaarland34Freiburg: 33 per million inhabitantsFreiburg33Karlsruhe: 33 per million inhabitantsKarlsruhe33Koblenz: 32 per million inhabitantsKoblenz32Mittelfranken: 32 per million inhabitantsMittelfranken32Oberbayern: 30 per million inhabitantsOberbayern30Oberfranken: 30 per million inhabitantsOberfranken30Schleswig-Holstein: 30 per million inhabitantsSchleswig-Holstein30Münster: 28 per million inhabitantsMünster28Rheinhessen-Pfalz: 28 per million inhabitantsRheinhessen-Pfalz28Detmold: 27 per million inhabitantsDetmold27Köln: 27 per million inhabitantsKöln27Stuttgart: 25 per million inhabitantsStuttgart25Arnsberg: 24 per million inhabitantsArnsberg24Darmstadt: 24 per million inhabitantsDarmstadt24Düsseldorf: 22 per million inhabitantsDüsseldorf22Bremen: 17 per million inhabitantsBremen17Hamburg: 15 per million inhabitantsHamburg15Berlin: 9 per million inhabitantsBerlin9
per million inhabitants. Source: Eurostat, Victims in road accidents by NUTS 2 region, killed per million inhabitants (tran_r_acci). Retrieved 2026-10-12.

Full ranking

RankRegions2023
per million inhabitants
Change on 2022
1Sachsen-Anhalt61-14.1%
2Weser-Ems60+20%
3Lüneburg57+3.6%
4Niederbayern54-1.8%
5Oberpfalz51+37.8%
6Trier49-14%
6Tübingen49+19.5%
8Dresden48+60%
9Braunschweig46+7%
9Hannover46+21.1%
9Leipzig46+58.6%
9Thüringen46+15%
13Schwaben45+4.7%
14Chemnitz44+51.7%
14Kassel44-4.3%
16Brandenburg42-4.5%
17Unterfranken41-2.4%
18Gießen36-10%
18Mecklenburg-Vorpommern36-32.1%
20Saarland34+13.3%
21Freiburg33-25%
21Karlsruhe33+13.8%
23Koblenz32+6.7%
23Mittelfranken32-5.9%
25Oberbayern30-14.3%
25Oberfranken30-37.5%
25Schleswig-Holstein30-14.3%
28Münster28-6.7%
28Rheinhessen-Pfalz28-9.7%
30Detmold27-22.9%
30Köln27+22.7%
32Stuttgart25+19%
33Arnsberg24+9.1%
33Darmstadt24-14.3%
35Düsseldorf22-8.3%
36Bremen17+21.4%
37Hamburg15+15.4%
38Berlin90%

Other periods

About this ranking

People killed in road traffic accidents within 30 days of the accident, per million inhabitants (Eurostat, police records reported to the EU road accident database CARE). Eurostat publishes whole numbers.

The EU uses this rate to track its road safety targets. The WHO road traffic death rate is per 100,000 people and modelled, so the two differ.

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. Victims in road accidents by NUTS 2 region, killed per million inhabitants (tran_r_acci). https://ec.europa.eu/eurostat/databrowser/view/tran_r_acci/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). Victims in road accidents by NUTS 2 region, killed per million inhabitants (tran_r_acci) (Regions of Germany (NUTS 2) by road deaths per million inhabitants, 2023) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/tran_r_acci/default/table

MLA 9

Victims in road accidents by NUTS 2 region, killed per million inhabitants (tran_r_acci), Regions of Germany (NUTS 2) by road deaths per million inhabitants, 2023. Eurostat, European Commission, 31 Aug. 2026, https://ec.europa.eu/eurostat/databrowser/view/tran_r_acci/default/table. Invokely, https://invokely.ai/rankings/road-deaths-per-million/germany-regions?period=2023. Accessed 12 Oct. 2026.

Chicago (author-date)

Eurostat, European Commission. 2026. Victims in road accidents by NUTS 2 region, killed per million inhabitants (tran_r_acci). Regions of Germany (NUTS 2) by road deaths per million inhabitants, 2023. Dataset. Accessed October 12, 2026. https://ec.europa.eu/eurostat/databrowser/view/tran_r_acci/default/table. Also distributed by Invokely, https://invokely.ai/rankings/road-deaths-per-million/germany-regions?period=2023.

Harvard

Eurostat, European Commission (2026) Victims in road accidents by NUTS 2 region, killed per million inhabitants (tran_r_acci), Regions of Germany (NUTS 2) by road deaths per million inhabitants, 2023 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/tran_r_acci/default/table, via Invokely: https://invokely.ai/rankings/road-deaths-per-million/germany-regions?period=2023 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_germany_nuts_2023,
  author = {{Eurostat, European Commission}},
  title = {{Victims in road accidents by NUTS 2 region, killed per million inhabitants (tran\_r\_acci): Regions of Germany (NUTS 2) by road deaths per million inhabitants, 2023}},
  year = {2026},
  howpublished = {Data set},
  url = {https://ec.europa.eu/eurostat/databrowser/view/tran_r_acci/default/table},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/rankings/road-deaths-per-million/germany-regions?period=2023. Publisher attribution: Eurostat. Victims in road accidents by NUTS 2 region, killed per million inhabitants (tran\_r\_acci). https://ec.europa.eu/eurostat/databrowser/view/tran\_r\_acci/default/table. Retrieved 2026-10-12.},
}
RIS
TY  - DATA
AU  - Eurostat, European Commission
TI  - Victims in road accidents by NUTS 2 region, killed per million inhabitants (tran_r_acci): Regions of Germany (NUTS 2) by road deaths per million inhabitants, 2023
PY  - 2026
DA  - 2026/08/31
PB  - Eurostat, European Commission
DB  - Invokely
UR  - https://ec.europa.eu/eurostat/databrowser/view/tran_r_acci/default/table
L2  - https://invokely.ai/rankings/road-deaths-per-million/germany-regions?period=2023
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/road-deaths-per-million/germany-regions?period=2023.
N1  - Publisher attribution: Eurostat. Victims in road accidents by NUTS 2 region, killed per million inhabitants (tran_r_acci). https://ec.europa.eu/eurostat/databrowser/view/tran_r_acci/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 road deaths per million inhabitants using official data, and cite the source.
rank_places {"indicator":"road_deaths_per_million","level":"region","within":"Germany","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=road_deaths_per_million&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 road deaths per million inhabitants?

Sachsen-Anhalt, with 61 per million inhabitants in 2023, according to Eurostat, European Commission.

Which region has the lowest road deaths per million inhabitants?

Berlin, with 9 per million inhabitants in 2023.

Where does this ranking come from?

Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, Victims in road accidents by NUTS 2 region, killed per million inhabitants (tran_r_acci). Retrieved 2026-10-12.

Road deaths per million inhabitants: other rankings

Regions of Germany (NUTS 2): more rankings