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

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

Lüneburg had the highest transport accident death rate (age-standardised) of 38 regions in 2019, at 6.3 per 100,000 people. Berlin had the lowest, at 1.7 per 100,000 people. The median was 4.1 per 100,000 people and the figure for Germany was 4.1 per 100,000 people. Source: Eurostat, European Commission.

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Highest6.3Lüneburg
Lowest1.7Berlin
Median4.138 regions
Germany4.1History

All regions, 2019

Lüneburg: 6.3 per 100,000 peopleLüneburg6.3Niederbayern: 6.1 per 100,000 peopleNiederbayern6.1Sachsen-Anhalt: 5.6 per 100,000 peopleSachsen-Anhalt5.6Weser-Ems: 5.5 per 100,000 peopleWeser-Ems5.5Mecklenburg-Vorpommern: 5.4 per 100,000 peopleMecklenburg-Vorpommern5.4Gießen: 5.4 per 100,000 peopleGießen5.4Kassel: 4.8 per 100,000 peopleKassel4.8Tübingen: 4.7 per 100,000 peopleTübingen4.7Detmold: 4.7 per 100,000 peopleDetmold4.7Oberpfalz: 4.7 per 100,000 peopleOberpfalz4.7Brandenburg: 4.6 per 100,000 peopleBrandenburg4.6Chemnitz: 4.5 per 100,000 peopleChemnitz4.5Braunschweig: 4.5 per 100,000 peopleBraunschweig4.5Oberbayern: 4.5 per 100,000 peopleOberbayern4.5Hannover: 4.5 per 100,000 peopleHannover4.5Freiburg: 4.4 per 100,000 peopleFreiburg4.4Thüringen: 4.4 per 100,000 peopleThüringen4.4Unterfranken: 4.3 per 100,000 peopleUnterfranken4.3Leipzig: 4.2 per 100,000 peopleLeipzig4.2Koblenz: 4 per 100,000 peopleKoblenz4Darmstadt: 4 per 100,000 peopleDarmstadt4Karlsruhe: 3.9 per 100,000 peopleKarlsruhe3.9Schleswig-Holstein: 3.9 per 100,000 peopleSchleswig-Holstein3.9Schwaben: 3.9 per 100,000 peopleSchwaben3.9Oberfranken: 3.8 per 100,000 peopleOberfranken3.8Mittelfranken: 3.8 per 100,000 peopleMittelfranken3.8Münster: 3.7 per 100,000 peopleMünster3.7Stuttgart: 3.6 per 100,000 peopleStuttgart3.6Trier: 3.5 per 100,000 peopleTrier3.5Rheinhessen-Pfalz: 3.2 per 100,000 peopleRheinhessen-Pfalz3.2Köln: 2.9 per 100,000 peopleKöln2.9Saarland: 2.8 per 100,000 peopleSaarland2.8Düsseldorf: 2.8 per 100,000 peopleDüsseldorf2.8Arnsberg: 2.7 per 100,000 peopleArnsberg2.7Dresden: 2.5 per 100,000 peopleDresden2.5Hamburg: 2.5 per 100,000 peopleHamburg2.5Bremen: 2 per 100,000 peopleBremen2Berlin: 1.7 per 100,000 peopleBerlin1.7Lüneburg: 6.3 per 100,000 peopleLüneburg6.3Niederbayern: 6.1 per 100,000 peopleNiederbayern6.1Sachsen-Anhalt: 5.6 per 100,000 peopleSachsen-Anhalt5.6Weser-Ems: 5.5 per 100,000 peopleWeser-Ems5.5Mecklenburg-Vorpommern: 5.4 per 100,000 peopleMecklenburg-Vorpommern5.4Gießen: 5.4 per 100,000 peopleGießen5.4Kassel: 4.8 per 100,000 peopleKassel4.8Tübingen: 4.7 per 100,000 peopleTübingen4.7Detmold: 4.7 per 100,000 peopleDetmold4.7Oberpfalz: 4.7 per 100,000 peopleOberpfalz4.7Brandenburg: 4.6 per 100,000 peopleBrandenburg4.6Chemnitz: 4.5 per 100,000 peopleChemnitz4.5Braunschweig: 4.5 per 100,000 peopleBraunschweig4.5Oberbayern: 4.5 per 100,000 peopleOberbayern4.5Hannover: 4.5 per 100,000 peopleHannover4.5Freiburg: 4.4 per 100,000 peopleFreiburg4.4Thüringen: 4.4 per 100,000 peopleThüringen4.4Unterfranken: 4.3 per 100,000 peopleUnterfranken4.3Leipzig: 4.2 per 100,000 peopleLeipzig4.2Koblenz: 4 per 100,000 peopleKoblenz4Darmstadt: 4 per 100,000 peopleDarmstadt4Karlsruhe: 3.9 per 100,000 peopleKarlsruhe3.9Schleswig-Holstein: 3.9 per 100,000 peopleSchleswig-Holstein3.9Schwaben: 3.9 per 100,000 peopleSchwaben3.9Oberfranken: 3.8 per 100,000 peopleOberfranken3.8Mittelfranken: 3.8 per 100,000 peopleMittelfranken3.8Münster: 3.7 per 100,000 peopleMünster3.7Stuttgart: 3.6 per 100,000 peopleStuttgart3.6Trier: 3.5 per 100,000 peopleTrier3.5Rheinhessen-Pfalz: 3.2 per 100,000 peopleRheinhessen-Pfalz3.2Köln: 2.9 per 100,000 peopleKöln2.9Saarland: 2.8 per 100,000 peopleSaarland2.8Düsseldorf: 2.8 per 100,000 peopleDüsseldorf2.8Arnsberg: 2.7 per 100,000 peopleArnsberg2.7Dresden: 2.5 per 100,000 peopleDresden2.5Hamburg: 2.5 per 100,000 peopleHamburg2.5Bremen: 2 per 100,000 peopleBremen2Berlin: 1.7 per 100,000 peopleBerlin1.7
per 100,000 people. Source: Eurostat, Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V_Y85 (hlth_cd_asdr2). Retrieved 2026-10-12.

Full ranking

RankRegions2019
per 100,000 people		Change on 2018
1Lüneburg6.3-0.1 pts
2Niederbayern6.1-1.2 pts
3Sachsen-Anhalt5.6-0.3 pts
4Weser-Ems5.5-0 pts
5Mecklenburg-Vorpommern5.4-0.6 pts
6Gießen5.4+1.1 pts
7Kassel4.8+0.5 pts
8Tübingen4.7+0.3 pts
9Detmold4.7+1 pts
10Oberpfalz4.7+0.6 pts
11Brandenburg4.6-0.8 pts
12Chemnitz4.5-0.9 pts
13Braunschweig4.5+0.8 pts
14Oberbayern4.5+0.1 pts
15Hannover4.5-0.1 pts
16Freiburg4.4+1 pts
17Thüringen4.4-0.4 pts
18Unterfranken4.3+0.5 pts
19Leipzig4.2-1.4 pts
20Koblenz4-0.8 pts
21Darmstadt4-0.1 pts
22Karlsruhe3.9+0.1 pts
23Schleswig-Holstein3.9-0.3 pts
24Schwaben3.9-1.1 pts
25Oberfranken3.8-1.5 pts
26Mittelfranken3.8-1.6 pts
27Münster3.7+0.1 pts
28Stuttgart3.6-0.7 pts
29Trier3.5-1.4 pts
30Rheinhessen-Pfalz3.2-1 pts
31Köln2.9-1.3 pts
32Saarland2.8+0.2 pts
33Düsseldorf2.8+0.2 pts
34Arnsberg2.7-0.5 pts
35Dresden2.5-1.7 pts
36Hamburg2.5-0.4 pts
37Bremen2+0.4 pts
38Berlin1.7-1 pts

Other periods

About this ranking

Deaths from [object Object] (ICD-10 V01 to V99 and Y85) 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).

Counted from death certificates by place of residence, so values differ from police counts of road deaths. road_traffic_death_rate (WHO) is an estimate without age standardisation. 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 V_Y85 (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 V_Y85 (hlth_cd_asdr2) (Regions of Germany (NUTS 2) by transport accident death rate (age-standardised), 2019) [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 V_Y85 (hlth_cd_asdr2), Regions of Germany (NUTS 2) by transport accident death rate (age-standardised), 2019. Eurostat, European Commission, 8 June 2026, https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Invokely, https://invokely.ai/rankings/transport-accident-death-rate/germany-regions?period=2019. 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 V_Y85 (hlth_cd_asdr2). Regions of Germany (NUTS 2) by transport accident death rate (age-standardised), 2019. 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/transport-accident-death-rate/germany-regions?period=2019.

Harvard

Eurostat, European Commission (2026) Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V_Y85 (hlth_cd_asdr2), Regions of Germany (NUTS 2) by transport accident death rate (age-standardised), 2019 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table, via Invokely: https://invokely.ai/rankings/transport-accident-death-rate/germany-regions?period=2019 (Accessed: 12 October 2026).

BibTeX
@misc{eurostat_regions_of_germany_nuts_2019,
  author = {{Eurostat, European Commission}},
  title = {{Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V\_Y85 (hlth\_cd\_asdr2): Regions of Germany (NUTS 2) by transport accident death rate (age-standardised), 2019}},
  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/transport-accident-death-rate/germany-regions?period=2019. Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V\_Y85 (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 V_Y85 (hlth_cd_asdr2): Regions of Germany (NUTS 2) by transport accident death rate (age-standardised), 2019
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/transport-accident-death-rate/germany-regions?period=2019
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/transport-accident-death-rate/germany-regions?period=2019.
N1  - Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 V_Y85 (hlth_cd_asdr2). https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Retrieved 2026-10-12.
ER  -
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Questions

Which region has the highest transport accident death rate (age-standardised)?

Lüneburg, with 6.3 per 100,000 people in 2019, according to Eurostat, European Commission.

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

Berlin, with 1.7 per 100,000 people in 2019.

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 V_Y85 (hlth_cd_asdr2). Retrieved 2026-10-12.

Transport accident death rate (age-standardised): other rankings

Regions of Germany (NUTS 2): more rankings