claritystorm/nj-crash-records-2001-2022
NJ Crash Records 2001–2022 New purchases paused. Existing NJ crash tables; driver and occupant keys and relationships require repair. Verified coverage: Crashes: 2001–2022; drivers: 2001–2020. Records: 6,294,361 crash events. This repository contains a 1,000-row public sample, not the full package. A sample does not establish complete historical coverage. Limitations New purchases are paused after full-table validation found broken relationships and duplicate… See the full description on the dataset page: https://huggingface.co/datasets/claritystorm/nj-crash-records-2001-2022.
NJ Crash Records 2001–2022
New purchases paused.
Existing NJ crash tables; driver and occupant keys and relationships require repair.
Verified coverage: Crashes: 2001–2022; drivers: 2001–2020.
Records: 6,294,361 crash events.
This repository contains a 1,000-row public sample, not the full package. A sample does not establish complete historical coverage.
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.
- njcrashrecords is a duplicate alias of the accidents table, not an additional set of crashes.
Package upload: 2026-03-30. Listing reviewed: 2026-09-19. These dates do not extend source coverage. This review did not refresh the data.
Existing package tables
Counts are per table, not independent events. Full field names and types are on the dataset page.
Inspect the public CSV
import pandas as pd
df = pd.read_csv("sample_1000.csv")
print(df.shape)
print(df.columns.tolist())
print(df.head())Availability
The full product is unavailable for new purchases while the issues above are resolved. Previously advertised unsupported coverage and features are withdrawn.
New annual update subscriptions and bundle purchases are paused. Existing customers retain their purchase download access and can contact support@claritystorm.com for assistance.