Purchases paused

NJ Crash Records 2001–2022

Existing NJ crash tables; driver and occupant keys and relationships require repair.

Snapshot coverage

Records: 6,294,361 crash events

Coverage: Crashes: 2001–2022; drivers: 2001–2020

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.

Full purchase unavailable

New purchases are paused while the package or its advertised features are corrected. The public sample remains available for inspection.

View 1,000-row sample

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

Known limitations

New purchases are paused after full-table validation found broken relationships and duplicate driver/occupant keys.
Using year plus source crash ID, 2,023,731 driver rows and 3,477,407 occupant rows do not match the crashes table. Candidate driver and occupant keys have 1,892,103 and 3,403,656 excess duplicate rows respectively.
Vehicle and pedestrian joins also have unmatched rows. Do not treat this package as a validated linked crash database.
Driver records stop at 2020; coverage differs by table.
78.6% of crash coordinates are missing. This is not a complete geocoded crash history.
nj_crash_records is a duplicate alias of the accidents table, not an additional set of crashes.

Files in the existing 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.

nj_accidents.parquet — 6,294,361 rows · 32 fields

Field	Type
crash_id	string
year	int64
date	string
day_of_week	string
time	string
county	string
municipality	string
severity	string
vehicle_count	int64
total_killed	int64
total_injured	int64
casualty_count	int64
pedestrians_killed	int64
pedestrians_injured	int64
alcohol_involved	string
hazmat_involved	string
crash_type_code	string
weather	string
road_condition	string
light_condition	string
road_system	string
road_character	string
road_surface_type	string
posted_speed	int64
route	string
milepost	double
latitude	double
longitude	double
intersection	string
cross_street_name	string
police_department	string
police_dept_code	string

nj_crash_records.parquet — 6,294,361 rows · 32 fields

Field	Type
crash_id	string
year	int64
date	string
day_of_week	string
time	string
county	string
municipality	string
severity	string
vehicle_count	int64
total_killed	int64
total_injured	int64
casualty_count	int64
pedestrians_killed	int64
pedestrians_injured	int64
alcohol_involved	string
hazmat_involved	string
crash_type_code	string
weather	string
road_condition	string
light_condition	string
road_system	string
road_character	string
road_surface_type	string
posted_speed	int64
route	string
milepost	double
latitude	double
longitude	double
intersection	string
cross_street_name	string
police_department	string
police_dept_code	string

nj_drivers.parquet — 11,024,711 rows · 24 fields

Field	Type
id	string
vehicle_number	string
driver_state	string
driver_license_state	string
driver_sex	string
alcohol_test_given	string
alcohol_test_type	string
alcohol_test_results	string
charge	string
summons	string
multi_charge_flag	string
driver_physical_status	string
year	int64
table	string
charge_1	string
summons_1	string
charge_2	string
summons_2	string
charge_3	string
summons_3	string
charge_4	string
summons_4	string
driver_physical_status_1	string
driver_physical_status_2	string

nj_occupants.parquet — 14,300,350 rows · 19 fields

Field	Type
id	string
vehicle_number	string
occupant_number	string
physical_condition	string
position_inon_vehicle	string
ejection_code	string
age	string
sex	string
location_of_most_severe_injury	string
type_of_most_severe_physical_injury	string
refused_medical_attention	string
safety_equipment_available	string
safety_equipment_used	string
airbag_deployment	string
hospital_code	string
year	int64
table	string
position_in_on_vehicle	string
type_of_most_severe_phys_injury	string

nj_pedestrians.parquet — 185,452 rows · 40 fields

Field	Type
id	string
pedestrian_number	string
physical_condition	string
address_state	string
age	string
sex	string
alcohol_test_given	string
alcohol_test_type	string
alcohol_test_results	string
charge	string
summons	string
multi_charge_flag	string
traffic_controls	string
contributing_circumstances_1	string
contributing_circumstances_2	string
direction_of_travel	string
pre_crash_action	string
location_of_most_severe_injur	string
type_of_most_severe_physical	string
refused_medical_attention	string
safety_equipment_used	string
hospital_code	string
physical_status	string
is_bycyclist	string
is_other	string
year	int64
table	string
charge_1	string
summons_1	string
charge_2	string
summons_2	string
charge_3	string
summons_3	string
charge_4	string
summons_4	string
precrash_action	string
location_of_most_severe_injury	string
type_of_most_severe_phys_injury	string
physical_status_1	string
physical_status_2	string

nj_vehicles.parquet — 10,807,064 rows · 46 fields

Field	Type
id	string
vehicle_number	string
insurance_company_code	string
owner_state	string
make_of_vehicle	string
model_of_vehicle	string
color_of_vehicle	string
year_of_vehicle	string
license_plate_state	string
vehicle_weight_rating	string
towed	string
removed_by	string
initial_impact_location	string
principal_damage_location	string
traffic_controls_present	string
vehicle_type	string
vehicle_use	string
special_function_vehicles	string
cargo_body_type	string
contributing_circumstances_1	string
contributing_circumstances_2	string
direction_of_travel	string
pre__crash_action	string
first_sequence_of_events	string
second_sequence_of_events	string
third_sequence_of_events	string
fourth_sequence_of_events	string
oversizeoverweight_permit	string
hazmat_status	string
hazmat_placard	string
usdot_other_flag	string
usdot_other_number	string
carrier_name	string
hit_and_run_driver_flag	string
year	int64
table	string
drivenleft_at_scenetowed	string
extent_of_damage	string
precrash_action	string
most_harmful_event	string
hazmat_class	string
usdot_number	string
mcmx_number	string
usdot__other_flag	string
usdot__other_number	string
hit__run_driver_flag	string

Inspect the public CSV

import pandas as pd

df = pd.read_csv(
    "https://huggingface.co/datasets/claritystorm/nj-crash-records-2001-2022/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