Banner image placeholder
Banner image
Site avatar

Cheyenne Hodgen

Criminology, Law and Society PhD Candidate (ABD)



Contact
Site avatar

Cheyenne Hodgen



Criminology, Law and Society

University of California, Irvine




Cheyenne Hodgen

Criminology, Law and Society PhD Candidate (ABD)



Criminology, Law and Society

University of California, Irvine



Tracking Vehicle Ramming Attacks


About The Data

This dataset includes 419 reported and confirmed vehicle ramming attacks (VRAs) that occurred worldwide between 2000 and 2025.

Methodology

Multiple sources were drawn on to compile this list of VRAs:

Inclusion Criteria

The criteria for an attack’s inclusion in this database are:

  1. The vehicle had to be used as a weapon on a primary target of pedestrians or bicyclists (including civilians, police officers, and military forces). Attacks where vehicles were rammed into buildings or into other vehicles are excluded. 
  2. The vehicle had to be one of the primary weapons, intended to hit pedestrians. Other weapons (i.e., knives or guns) could be used during the attack. 
  3. The vehicle had to be intended to be used as a ramming device, not a bomb. 
  4. Civilian injuries or casualties were intended and not part of a chase, evasion, or accident. 

Limitations

While every effort has been made to create as comprehensive a list as possible, it is important to recognize that this list does not contain every VRA that has occurred. It is limited to VRAs that we have identified and verified using online news sources. There are likely cases that have been missed, and this missingness is likely more prevalent in countries that have limited online news sources and limited English news sources. Earlier years are also more likely to have missing attacks as news reports were less likely to be digitized. 

Publications


Trends and Characteristics of Vehicle Ramming Attacks Worldwide, 2000 to 2025


Cheyenne Hodgen, Genevieve Hodgen

Socius: Sociological Research for a Dynamic World, vol. 12, 2026



Text Only Owlstown
QR Code
Translate to