National Automotive Sampling System (NASS)
Crashworthiness Data System (CDS)
General Estimates System (GES)
General Estimates System data come from a nationally representative sample of police reported motor vehicle crashes of all types, from minor to fatal. The system began in 1988, and was created to identify traffic safety problem areas, provide a basis for regulatory and consumer initiatives, and form the basis for cost and benefit analyses of traffic safety initiatives. The information is used to estimate how many crashes of different kinds take place, and what happens when they occur.
- 2009 FARS/NASS GES Changes (Sept. 14 Webinar Recording)
- General Estimates System (GES) Overview
- 2009 FARS/NASS GES Standardization (9/9/2010) In 2009, NHTSA took a big step toward the goal of unifying the FARS and NASS GES data definitions and coding, simplifying crash data entry and analysis while also reducing costs and errors.
- FARS and GES Auxiliary Datasets Q & A (9/9/2010) These files will complement the standard FARS and GES files by providing new variables that have been derived from all the commonly used NCSA analytical data classifications (e.g. speeding related, race and ethnicity, etc).
- Manuals and Documentation - NASS-GES
- Download Raw Data from FTP Site
All About NASS
NASS is composed of two systems - the Crashworthiness Data System (CDS) and the General Estimates System (GES). These are based on cases selected from a sample of police crash reports. CDS data focus on passenger vehicle crashes, and are used to investigate injury mechanisms to identify potential improvements in vehicle design. GES data focus on the bigger overall crash picture, and are used for problem size assessments and tracking trends.
- National Automotive Sampling System Overview
- NCRUSS Manual
- NCRUSS Data
- National Motor Vehicle Crash Causation Study Case Viewer
- NMVCCS FTP Site
- Large Truck Crash Causation Study Case Viewer
- NASS Brochure (English) (PDF)
- NASS Brochure (Spanish) (PDF)
- PCDS FTP Site
- Tire Pressure Special Study: SAS format (ZIP)