One-time snapshot

NHTSA FARS Fatal Crashes 1975–2023

Fatal crash, vehicle and person records in CSV and Parquet.

Snapshot coverage

Records: 1,836,052 crashes; 8,344,160 rows across three tables

Coverage: 1975–2023; all 49 years present in each table

Format: CSV + Parquet

Package uploaded: 2026-03-30

Listing reviewed: 2026-09-19

The upload and review dates do not extend the source coverage. This is a dated snapshot; future updates are not included.

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CSV and Parquet files for the coverage described here. Review the limitations and sample before purchasing.

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Commercial license terms

View 1,000-row sample

New annual update subscriptions are unavailable. Existing customers can use their purchase download links or contact support.

Known limitations

Crash, vehicle and person rows represent different units; do not add them to estimate crashes.
74,669 crash rows contain non-null coordinates outside valid latitude/longitude bounds. Filter invalid values and documented source sentinels before mapping.
Coordinates are missing for many older records. No guarantee of complete geospatial coverage.
Join tables on year and st_case; include veh_no for vehicle joins. The 6,059 person rows without a matching vehicle are all coded as occupants of vehicles not in transport; a parked/working-vehicle table is not included.
The current official 2023 files have 37,769 crash rows versus 37,654 here. This snapshot has not been reconciled to subsequent source revisions.

Files in this snapshot

Row counts are per table and should not be added as independent events. Expand a file to see its delivered Parquet field names and types.

fars_accidents.parquet — 1,836,052 rows · 115 fields

Field	Type
state	string
county	int64
month	string
day	string
year	int64
hour	string
minute	string
ve_forms	int64
persons	string
land_use	string
cl_tway	string
sp_jur	string
harm_ev	string
man_col	string
rel_junc	string
rel_road	string
road_flo	string
no_lanes	string
sp_limit	string
alignmnt	string
profile	string
pave_typ	string
sur_cond	string
tra_cont	string
lgt_cond	string
weather	string
hit_run	string
not_hour	string
not_min	string
arr_hour	string
arr_min	string
cf1	string
cf2	string
cf3	string
fatals	int64
day_week	string
drunk_drivers	int64
st_case	int64
rail	string
vehicles	string
sch_bus	string
ta_1_cl	string
c_m_zone	string
road_fnc	string
fed_aid	string
tway_flo	string
t_cont_f	string
milept	string
tway_id	string
route	string
traf_flo	string
hosp_hr	string
hosp_mn	string
peds	int64
nhs	int64
latitude	double
longitude	double
tway_id2	string
ve_total	int64
weather1	string
weather2	string
wrk_zone	string
reljct1	string
reljct2	string
typ_int	string
pvh_invl	int64
pernotmvit	int64
permvit	int64
statename	string
dayname	string
monthname	string
day_weekname	string
hourname	string
minutename	string
nhsname	string
routename	string
rur_urb	string
rur_urbname	string
func_sys	string
func_sysname	string
rd_owner	string
rd_ownername	string
mileptname	string
latitudename	string
longitudname	string
sp_jurname	string
harm_evname	string
man_collname	string
reljct1name	string
reljct2name	string
typ_intname	string
wrk_zonename	string
rel_roadname	string
lgt_condname	string
weather1name	string
weather2name	string
weathername	string
sch_busname	string
railname	string
not_hourname	string
not_minname	string
arr_hourname	string
arr_minname	string
hosp_hrname	string
hosp_mnname	string
cf1name	string
cf2name	string
cf3name	string
countyname	string
cityname	string
ï»¿state	string
state_name	string
crash_date	string
crash_time	string
day_of_week	string

fars_persons.parquet — 4,765,959 rows · 193 fields

Field	Type
state	string
county	string
month	string
day	string
hour	string
minute	string
ve_forms	string
harm_ev	string
man_coll	string
veh_no	int64
make	string
body_typ	string
mod_year	string
tow_veh	string
spec_use	string
impact1	string
impact2	string
impacts	string
fire_exp	string
wgtcd_tr	string
per_no	int64
age	int64
sex	string
per_typ	int64
seat_pos	string
man_rest	string
aut_rest	string
location	string
ejection	string
extricat	string
test_res	string
inj_sev	int64
death_mo	string
death_da	string
death_yr	string
death_hr	string
death_mn	string
lag_hrs	string
lag_mins	string
p_cf1	string
p_cf2	string
p_cf3	string
st_case	int64
mak_mod	string
vin_wgt	string
whlbs_sh	string
whlbs_lg	string
mcycl_ds	string
death_tm	string
vina_mod	string
ser_tr	string
year	int64
sch_bus	string
emer_use	string
drinking	int64
hospital	string
rollover	string
road_fnc	string
n_mot_no	string
vin_bt	string
alc_det	string
toxclgy	string
work_inj	string
cert_no	string
rest_use	string
air_bag	string
ej_path	string
drugs	int64
drug_det	string
drugtest	string
drug_res	string
alc_res	string
drugtst1	string
drugres1	string
drugtst2	string
drugres2	string
drugtst3	string
drugres3	string
atst_typ	string
race	string
hispanic	string
doa	string
alc_status	string
dstatus	string
vintype	string
vinmake	string
vinmodyr	string
vin_lngt	string
fuelcode	string
rest_mis	string
p_sf1	string
p_sf2	string
p_sf3	string
str_veh	string
carbur	string
cylinder	string
displace	string
mcycl_cy	string
tire_sze	string
ton_rat	string
trk_wt	string
trkwtvar	string
mcycl_wt	string
vin_rest	string
whldrwhl	string
statename	string
dayname	string
monthname	string
hourname	string
minutename	string
rur_urb	string
rur_urbname	string
func_sys	string
func_sysname	string
harm_evname	string
man_collname	string
sch_busname	string
makename	string
body_typname	string
mod_yearname	string
tow_vehname	string
spec_usename	string
emer_usename	string
rollovername	string
impact1name	string
fire_expname	string
agename	string
sexname	string
per_typname	string
inj_sevname	string
seat_posname	string
rest_usename	string
rest_misname	string
air_bagname	string
ejectionname	string
ej_pathname	string
extricatname	string
drinkingname	string
alc_detname	string
alc_statusname	string
atst_typname	string
alc_resname	string
drugsname	string
drug_detname	string
dstatusname	string
drugtst1name	string
drugtst2name	string
drugtst3name	string
drugres1name	string
drugres2name	string
drugres3name	string
hospitalname	string
doaname	string
death_daname	string
death_moname	string
death_yrname	string
death_hrname	string
death_mnname	string
death_tmname	string
lag_hrsname	string
lag_minsname	string
p_sf1name	string
p_sf2name	string
p_sf3name	string
work_injname	string
hispanicname	string
racename	string
locationname	string
mak_modname	string
helm_use	string
helm_usename	string
helm_mis	string
helm_misname	string
vpicmake	string
vpicmakename	string
vpicmodel	string
vpicmodelname	string
vpicbodyclass	string
vpicbodyclassname	string
icfinalbody	string
icfinalbodyname	string
gvwr_from	string
gvwr_fromname	string
gvwr_to	string
gvwr_toname	string
devtypename	string
devmotorname	string
devtype	string
devmotor	string
state_name	string
injury_severity_label	string
person_type_label	string
sex_label	string

fars_vehicles.parquet — 2,742,149 rows · 278 fields

Field	Type
state	string
ve_forms	string
harm_ev	string
man_coll	string
hit_run	string
veh_no	int64
make	string
model	string
body_typ	int64
mod_year	int64
reg_stat	string
trav_sp	string
tow_veh	int64
spec_use	string
impact1	string
impact2	string
deformed	string
impacts	string
towaway	string
fire_exp	string
ocupants	string
deaths	int64
veh_cf1	string
veh_cf2	string
chas_tr	string
wgtcd_tr	string
vin_lngt	string
vin_1	string
vin_2	string
vin_3	string
vin_4	string
vin_5	string
vin_6	string
vin_7	string
vin_8	string
vin_9	string
vin_10	string
fldcd_tr	string
mcycl_ty	string
dr_pres	string
drinking	int64
l_state	string
l_status	string
l_restri	string
dr_train	string
viol_chg	string
prev_acc	string
prev_sus	string
prev_dwi	string
prev_spd	string
prev_oth	string
last_mo	string
last_yr	string
first_mo	string
first_yr	string
dr_cf1	string
dr_cf2	string
dr_cf3	string
st_case	int64
mak_mod	string
vin_wgt	string
whlbs_sh	string
whlbs_lg	string
mcycl_ds	string
vina_mod	string
ser_tr	string
year	int64
emer_use	string
rollover	string
m_harm	string
j_knife	string
haz_carg	string
veh_man	string
l_cl_veh	string
vin_bt	string
l_compl	string
dr_zip	string
owner	string
v_config	string
axles	string
cargo_bt	string
avoid	string
cdl_stat	string
l_endors	string
month	string
underide	string
vin_11	string
vin_12	string
violchg1	string
violchg2	string
violchg3	string
dr_cf4	string
dr_wgt	string
dr_hgt	string
mcarr_id	string
bus_use	string
gvwr	string
seq1	string
seq2	string
seq3	string
seq4	string
seq5	string
seq6	string
l_type	string
unittype	string
haz_inv	string
haz_plac	string
haz_cno	string
haz_rel	string
mcarr_i1	string
haz_id	string
mcarr_i2	string
numoccs	string
rolinloc	string
towed	string
speedrel	string
d_vision1	string
d_vision2	string
d_vision3	string
day	string
hour	string
minute	string
vintype	string
vinmake	string
vinmodyr	string
fuelcode	string
veh_sc1	string
veh_sc2	string
dr_sf1	string
dr_sf2	string
dr_sf3	string
dr_sf4	string
vtrafway	string
vnum_lan	string
vspd_lim	string
valign	string
vprofile	string
vpavetyp	string
vsurcond	string
vtrafcon	string
vtcont_f	string
p_crash1	string
p_crash2	string
p_crash3	string
pcrash4	string
pcrash5	string
acc_type	string
carbur	string
cylinder	string
displace	string
mcycl_cy	string
mcycl_wt	string
tire_sze	string
ton_rat	string
trk_wt	string
trkwtvar	string
vin_rest	string
whldrwhl	string
statename	string
numoccsname	string
dayname	string
monthname	string
hourname	string
minutename	string
harm_evname	string
man_collname	string
unittypename	string
hit_runname	string
reg_statname	string
ownername	string
makename	string
mak_modname	string
body_typname	string
mod_yearname	string
vinname	string
tow_vehname	string
j_knifename	string
mcarr_i1name	string
mcarr_i2name	string
mcarr_idname	string
gvwrname	string
v_configname	string
cargo_btname	string
haz_invname	string
haz_placname	string
haz_idname	string
haz_cnoname	string
haz_relname	string
bus_usename	string
spec_usename	string
emer_usename	string
trav_spname	string
underidename	string
rollovername	string
rolinlocname	string
impact1name	string
deformedname	string
towedname	string
m_harmname	string
veh_sc1name	string
veh_sc2name	string
fire_expname	string
dr_presname	string
l_statename	string
dr_zipname	string
l_statusname	string
l_typename	string
cdl_statname	string
l_endorsname	string
l_complname	string
l_restriname	string
dr_hgtname	string
dr_wgtname	string
prev_accname	string
prev_susname	string
prev_dwiname	string
prev_spdname	string
prev_othname	string
first_moname	string
first_yrname	string
last_moname	string
last_yrname	string
speedrelname	string
dr_sf1name	string
dr_sf2name	string
dr_sf3name	string
dr_sf4name	string
vtrafwayname	string
vnum_lanname	string
vspd_limname	string
valignname	string
vprofilename	string
vpavetypname	string
vsurcondname	string
vtrafconname	string
vtcont_fname	string
p_crash1name	string
p_crash2name	string
p_crash3name	string
pcrash4name	string
pcrash5name	string
acc_typename	string
dr_drinkname	string
trlr1vin	string
trlr1vinname	string
trlr2vin	string
trlr2vinname	string
trlr3vin	string
trlr3vinname	string
prev_sus1	string
prev_sus1name	string
prev_sus2	string
prev_sus2name	string
prev_sus3	string
prev_sus3name	string
vpicmake	string
vpicmakename	string
vpicmodel	string
vpicmodelname	string
vpicbodyclass	string
vpicbodyclassname	string
icfinalbody	string
icfinalbodyname	string
gvwr_from	string
gvwr_fromname	string
gvwr_to	string
gvwr_toname	string
trlr1gvwr	string
trlr1gvwrname	string
trlr2gvwr	string
trlr2gvwrname	string
trlr3gvwr	string
trlr3gvwrname	string
underoverride	string
underoverridename	string
acc_config	string
acc_configname	string
state_name	string

Inspect the public CSV

import pandas as pd

df = pd.read_csv(
    "https://huggingface.co/datasets/claritystorm/nhtsa-fars-1975-2023/resolve/main/sample_1000.csv"
)
print(df.shape)
print(df.columns.tolist())
print(df.head())

This CSV is a sample, not the full package. It does not establish complete historical coverage or represent every field’s missingness. License details are on the Hugging Face card.

Source: government source portal · Dataset changelog