Regions of Germany (NUTS 2) by road deaths per million inhabitants
Oberpfalz had the highest road deaths per million inhabitants of 38 regions in 2016, at 73 per million inhabitants. Hamburg had the lowest, at 16 per million inhabitants. The median was 43 per million inhabitants and the figure for Germany was 39 per million inhabitants. Source: Eurostat, European Commission.
All regions, 2016
Full ranking
| Rank | Regions | 2016 | Change on 2015 |
|---|---|---|---|
| 1 | Oberpfalz | 73 | -3.9% |
| 2 | Sachsen-Anhalt | 59 | -9.2% |
| 3 | Lüneburg | 56 | -18.8% |
| 4 | Mecklenburg-Vorpommern | 55 | -5.2% |
| 4 | Schwaben | 55 | +10% |
| 6 | Niederbayern | 54 | -22.9% |
| 6 | Weser-Ems | 54 | -6.9% |
| 8 | Trier | 53 | -22.1% |
| 9 | Hannover | 52 | -5.5% |
| 9 | Unterfranken | 52 | +20.9% |
| 11 | Kassel | 51 | 0% |
| 11 | Tübingen | 51 | -16.4% |
| 13 | Brandenburg | 49 | -31.9% |
| 14 | Freiburg | 48 | -26.2% |
| 14 | Thüringen | 48 | -9.4% |
| 16 | Leipzig | 47 | +23.7% |
| 17 | Braunschweig | 46 | -6.1% |
| 18 | Detmold | 44 | -4.3% |
| 18 | Koblenz | 44 | -21.4% |
| 20 | Dresden | 41 | -18% |
| 20 | Oberbayern | 41 | +7.9% |
| 22 | Mittelfranken | 40 | -4.8% |
| 22 | Schleswig-Holstein | 40 | +8.1% |
| 24 | Oberfranken | 39 | -20.4% |
| 25 | Gießen | 35 | -37.5% |
| 26 | Chemnitz | 34 | -32% |
| 26 | Saarland | 34 | +9.7% |
| 28 | Darmstadt | 33 | +6.5% |
| 28 | Münster | 33 | +3.1% |
| 28 | Rheinhessen-Pfalz | 33 | -8.3% |
| 31 | Köln | 30 | +7.1% |
| 31 | Stuttgart | 30 | -3.2% |
| 33 | Karlsruhe | 29 | -17.1% |
| 34 | Arnsberg | 26 | +8.3% |
| 35 | Düsseldorf | 23 | -11.5% |
| 36 | Bremen | 19 | -24% |
| 37 | Berlin | 16 | +14.3% |
| 37 | Hamburg | 16 | +45.5% |
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
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, 2016) [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, 2016. 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=2016. 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, 2016. 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=2016.
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, 2016 [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=2016 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_regions_of_germany_nuts_2016,
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, 2016}},
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=2016. 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, 2016
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=2016
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/road-deaths-per-million/germany-regions?period=2016.
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 -
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=10Questions
Which region has the highest road deaths per million inhabitants?
Oberpfalz, with 73 per million inhabitants in 2016, according to Eurostat, European Commission.
Which region has the lowest road deaths per million inhabitants?
Hamburg, with 16 per million inhabitants in 2016.
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.