File Identity
CRSS2024CSV.zip is the 2024 CSV package for NHTSA's Crash Report Sampling System. CRSS is a redesigned successor to the retired National Automotive Sampling System General Estimates System (NASS GES), first published for 2016 data. Unlike FARS — which is a census of every U.S. traffic fatality — CRSS is a probability sample of roughly 50,000 police crash reports drawn from the more than 6 million police-reported crashes that occur on U.S. trafficways each year.1,5
Because CRSS uses a stratified, three-stage probability design, each record carries sampling weights. Multiplying records by those weights projects the sample back to a national estimate. Unweighted record counts do not represent actual U.S. crash totals.4,5
CRSS vs. FARS: Key Differences
CRSS and FARS are complementary datasets maintained by the same agency, but they serve different research purposes. FARS is a census of fatal crashes; CRSS is a weighted sample of all reported crash severities.1,5
| Attribute | CRSS | FARS |
|---|---|---|
| Coverage | All police-reported crash severities (PDO, injury, fatal) | Fatal crashes only (death within 30 days) |
| Method | Probability sample (~50,000 reports/year) | Census (~40,000 fatal crashes/year) |
| Output | Weighted national estimates with confidence intervals | Exact counts — no weighting needed |
| Fatal crash totals | Estimated (lower than FARS due to sampling) | Definitive — the official fatality count |
| Start year | 2016 (replaced NASS GES) | 1975 |
| Primary use | Non-fatal crash analysis, injury research, full-crash estimates | Fatality research, state rankings, long-term trends |
What the Package Contains
The ZIP contains separate CSV tables for crash-level, vehicle-level, person-level, and factor-level records. The three primary tables are accident.csv, vehicle.csv, and person.csv. The sampling weight fields in accident.csv (PSU, PSUSTRAT, WEIGHT) must be carried through any analysis that joins to vehicle or person records.3,4
| CSV file | Common use |
|---|---|
| accident.csv | Crash-level table. Contains crash date, location codes, manner of collision, crash type, and the critical sampling fields PSU, PSUSTRAT, and WEIGHT needed to produce national estimates. |
| vehicle.csv | Vehicle-level table. Contains vehicle body type, model year, pre-crash maneuver, travel speed, and driver linkage keys. |
| person.csv | Person-level table. Contains injury severity, person type (driver, passenger, pedestrian, cyclist), age, sex, and restraint-use coding. |
| distract.csv | Driver distraction table. Codes distraction factors reported on the police crash report at the vehicle level. |
| drimpair.csv | Driver physical impairment table. Records conditions such as illness, fatigue, and vision problems. |
| factor.csv | Contributing crash factor table. Documents environmental and roadway factors associated with each crash. |
| maneuver.csv | Pre-crash maneuver table. Records the action each vehicle was taking immediately before the crash. |
| nmcrash.csv | Non-motorist crash factor table. Documents crash factors specific to pedestrians, cyclists, and other non-motorists. |
| pbtype.csv | Pedestrian and bicyclist crash type table. Provides detailed crash-typing codes for pedestrian and bicycle crashes. |
| safetyeq.csv | Safety equipment table. Records seat belt, helmet, and child restraint use per person record. |
| violatn.csv | Violation table. Documents traffic citations or violations associated with each involved driver. |
Show all expected CSV files in the 2024 package
accident.csvdistract.csvdrimpair.csvfactor.csvmaneuver.csvnmcrash.csvnmimpair.csvnmprior.csvparkwork.csvpbtype.csvperson.csvsafetyeq.csvvehicle.csvviolatn.csvvision.csvSampling Weight Fields
CRSS is a probability sample. Every analysis that uses CRSS to make statements about national crash totals must apply the sampling weights. The three fields below appear in accident.csv and must be used with survey-analysis procedures — not standard regression or simple counts.4,5
| Field | Role in national estimates |
|---|---|
| PSU | Primary Sampling Unit identifier. Required for variance estimation with survey-analysis software. |
| PSUSTRAT | PSU stratum code. Used alongside PSU to account for the stratified sampling design. |
| WEIGHT | Analysis weight. Multiply crash, vehicle, or person records by their weight to project from the sample to a national estimate. |
How Daily Driver Advocate Uses It
Daily Driver Advocate primarily uses FARS for fatal crash and fatality statistics, where an exact census count is required. CRSS is the primary source when a report covers non-fatal crash patterns — such as injury crash rates, distracted driving estimates, or crash types involving pedestrians and cyclists.1,3
Fatal Crash Statistics & Facts
National fatal-crash factsheet built from NHTSA FARS — the census that complements CRSS.
FARS2024NationalCSV.zip Source Card
The NHTSA fatal-crash census that covers all U.S. traffic fatalities.
Distracted Driving Statistics
Distraction analysis using NHTSA data — CRSS distract.csv captures non-fatal distracted crashes.
Common Research Uses
CRSS is the appropriate starting point when a research question requires national crash estimates that include non-fatal incidents — the majority of police-reported crashes that FARS does not capture.1,3,5
Estimate total U.S. police-reported crashes of all severity types, not just fatal crashes.
Analyze injury and property-damage crashes that FARS does not capture.
Study non-fatal crash patterns by contributing factor, roadway type, or demographic group.
Compare CRSS-estimated fatal crash totals to FARS counts to understand sample coverage.
Produce nationally representative crash estimates using the PSU, PSUSTRAT, and WEIGHT fields.
Research pedestrian and bicycle crash types using pbtype.csv alongside the CRSS person table.
Important Limitations
This page is a source card for an official federal dataset. It is not a government page, legal advice, crash investigation service, or substitute for the NHTSA file and manuals.
- CRSS is a probability sample, not a census. Records must be multiplied by sampling weights to produce valid national estimates. Unweighted record counts do not represent actual U.S. crash totals.
- CRSS fatal crash estimates are lower than FARS fatal crash counts because FARS is a complete census of U.S. traffic fatalities while CRSS is a sample. For fatal-only analysis, FARS is the authoritative source.
- The 2024 file may be released as an Annual Report File (ARF) — a preliminary version subject to correction — before the final dataset is published. Check the NHTSA download directory for the current file status.
- CRSS covers crashes on U.S. public trafficways. It does not include crashes on private property or in U.S. territories.
- Approximately 27 data elements are imputed for missing values. Imputed records are flagged; researchers who need to exclude imputed data should consult the Coding and Validation Manual.
- Name, address, license number, and precise crash location are not included in the public CRSS files to protect individual privacy.
Suggested Citation
For the raw dataset, cite NHTSA as the issuing agency and link to the official file. For this explanatory card, cite Daily Driver Advocate as the independent research project that documented the source.
National Highway Traffic Safety Administration. CRSS2024CSV.zip. Crash Report Sampling System, 2024 CSV package. https://static.nhtsa.gov/nhtsa/downloads/CRSS/2024/CRSS2024CSV.zip
Primary Source Directory
- Crash Report Sampling System (CRSS) overviewIssuing authority: National Highway Traffic Safety Administration
- CRSS 2024 file download directoryIssuing authority: National Highway Traffic Safety Administration
- CRSS2024CSV.zip official downloadIssuing authority: National Highway Traffic Safety Administration
- Links for CRSS Manuals (including Analytical User's Manual and Coding & Validation Manual)Issuing authority: National Highway Traffic Safety Administration
- Crash Report Sampling System: Design Overview, Analytic Guidance, and FAQs (DOT HS 812 688)Issuing authority: National Highway Traffic Safety Administration