Monthly Traffic Safety Analysis

7,148 CRASHES IN
NEW YORK, NY
NOVEMBER 2025

All metrics benchmarked againstNovember 2024

In November 2025, New York recorded 7,148 motor vehicle crashes, a 2.9% decrease from the 7,364 crashes reported in November 2024. The most significant year-over-year change was a substantial reduction in traffic fatalities, which fell from 23 to 7, a decrease of nearly 70%.

7,148

▼ -2.9%was 7,364

Total Crash Events

7

▼ -69.6%was 23

Persons Killed

4,073

▼ -6.2%was 4,343

Persons Injured

7

▼ -69.6%was 23

Fatal Crash Events

Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (7) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: NYC Motor Vehicle Collisions · Socrata Open Data · 2025-11-01 to 2025-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Year-over-year, key traffic safety metrics showed a downward trend. Total crashes in New York decreased by 2.9%, from 7,364 in November 2024 to 7,148 in November 2025. This decline was accompanied by a 6.2% reduction in total injuries (from 4,343 to 4,073) and a 69.6% drop in fatalities (from 23 to 7).

Vulnerable Road User Casualties

6

Pedestrians Killed

Prior: 13↓-53.8%

1

Cyclists Killed

Prior: 1→0.0%

0

Motorists Killed

Prior: 8↓-100.0%

0

Other Killed

Prior: 1↓-100.0%

874

Pedestrians Injured

Prior: 988↓-11.5%

447

Cyclists Injured

Prior: 394↑13.5%

2,626

Motorists Injured

Prior: 2,809↓-6.5%

126

Other Injured

Prior: 152↓-17.1%

Source: NYC Motor Vehicle Collisions · Socrata Open Data · 2025-11-01 to 2025-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes saw some shifts between November 2024 and November 2025. The peak hour for collisions remained the 5 p.m. hour in both periods, though the number of crashes during this hour decreased from 502 to 470. The peak day for crashes shifted from Friday (1,338 crashes) in the prior year to Saturday (1,221 crashes) in the current period.

Source: NYC Motor Vehicle Collisions · Socrata Open Data · 2025-11-01 to 2025-11-30 · Crash date field aggregated by weekday

Source: NYC Motor Vehicle Collisions · Socrata Open Data · 2025-11-01 to 2025-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity improved year-over-year. The number of fatal crashes dropped from 23 in November 2024 to 7 in November 2025, with the corresponding fatal crash rate decreasing from 0.31% to 0.1%. The proportion of crashes resulting in any injury also saw a slight decrease, falling from 45.0% to 43.9% of all incidents. Consequently, the share of crashes with no reported injuries increased from 54.6% to 56.0%.

Outcome by Severity (Crash Events)

Fatal7fatal crashes0.1%
↓-69.6%prior 23
Injury3,137minor injury crashes43.9%
↓-5.4%prior 3,317
No Injury4,004no injury crashes56%
↓-0.5%prior 4,024

Source: NYC Motor Vehicle Collisions · Socrata Open Data · 2025-11-01 to 2025-11-30 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)

Severity Distribution (Crash Events)

Source: NYC Motor Vehicle Collisions · Socrata Open Data · 2025-11-01 to 2025-11-30 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factors remained consistent, with 'Driver Inattention/Distraction' and 'Unspecified' being the top two in both periods. Crashes attributed to 'Driver Inattention/Distraction' decreased by 2.7% in count (from 1,791 to 1,743), while crashes attributed to 'Failure to Yield Right-of-Way' fell by 10.3% in count (from 561 to 503). In contrast, crashes involving 'Alcohol Involvement' saw a significant 34.2% increase in count, rising from 117 incidents in November 2024 to 157 in November 2025.

Officer-Reported Primary Contributing Cause

Driver Inattention/Distraction1,743 (24.4%)↓-2.7%prior 1,791
Failure to Yield Right-of-Way503 (7%)↓-10.3%prior 561
Following Too Closely365 (5.1%)↓-5.4%prior 386
Other Vehicular300 (4.2%)↑31.6%prior 228
Passing or Lane Usage Improper260 (3.6%)↓-13.6%prior 301
Passing Too Closely222 (3.1%)↓-7.1%prior 239
Backing Unsafely218 (3%)→0.0%prior 218
Unsafe Speed199 (2.8%)↓-20.4%prior 250
Traffic Control Disregarded175 (2.4%)↓-14.6%prior 205
Driver Inexperience171 (2.4%)↑20.4%prior 142

Source: NYC Motor Vehicle Collisions · Socrata Open Data · 2025-11-01 to 2025-11-30 · Officer-reported primary contributory cause per crash

Vehicles & Demographics

The top four vehicle makes involved in crashes remained Toyota, Honda, Ford, and Nissan in both November 2024 and November 2025, though the count for each decreased year-over-year. For example, Toyotas involved in crashes fell from 1,915 to 1,778. The composition of the top five shifted, with Hyundai (474 vehicles) replacing Chevrolet (down from 495 to 447) in the fifth position. The age distribution of persons involved in crashes remained broadly stable, with the 35-44 and 26-34 age groups representing the largest shares in both periods.

Top Vehicle Makes (14,076 vehicles)

1
TOYT -CAR/SUV1,778 (12.6%)
↓-7.2%prior 1,915
2
HOND -CAR/SUV1,373 (9.8%)
↓-2.7%prior 1,411
3
FORD -CAR/SUV876 (6.2%)
↓-6.9%prior 941
4
NISS -CAR/SUV827 (5.9%)
↓-10.6%prior 925
5
HYUN -CAR/SUV474 (3.4%)
↑17.6%prior 403
6
BMW -CAR/SUV453 (3.2%)
↓-1.7%prior 461
7
CHEV -CAR/SUV447 (3.2%)
↓-9.7%prior 495
8
MERZ -CAR/SUV395 (2.8%)
↓-3.2%prior 408
9
JEEP -CAR/SUV387 (2.7%)
↓-9.8%prior 429
10
LEXS -CAR/SUV266 (1.9%)
↑0.4%prior 265

Source: NYC Motor Vehicle Collisions · Socrata Open Data · 2025-11-01 to 2025-11-30 · Vehicle unit records

3,824 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (20,938 persons with recorded sex)

Male14,357 (68.6%)
↓-5.0%prior 15,105
Female6,581 (31.4%)
↓-8.0%prior 7,152

Source: NYC Motor Vehicle Collisions · Socrata Open Data · 2025-11-01 to 2025-11-30 · Person-level records linked to crash events

Data Sources & Methodology

Primary Data Source

All crash data in this report is sourced from NYC Motor Vehicle Collisions, accessed programmatically via the Socrata Open Data API (SODA). This dataset contains official police-reported motor vehicle traffic crash records maintained by the reporting jurisdiction's law enforcement agency. Records are published to the open data portal by the municipality and are subject to the portal's terms of use.

Data Retrieval

  • Access method: Socrata Open Data API (SoQL queries)
  • Data format: Structured JSON via REST API
  • Record types queried: Crash events, person records, and vehicle unit records
  • Date filter applied: 2025-11-01 through 2025-11-30
  • Report generated: June 16, 2026

Data Coverage

  • Reporting period: 2025-11-01 through 2025-11-30 (30 days)
  • Geographic scope: New York, NY
  • Total crash records analyzed: 7,148
  • Total persons involved: 23,907
  • Total vehicles involved: 14,076

Analytical Methodology

  • Severity classification: Uses the KABCO injury scale (K=Fatal, A=Incapacitating injury, B=Non-incapacitating injury, C=Possible injury, O=No injury/property damage only), the standard classification in U.S. Model Minimum Uniform Crash Criteria (MMUCC). Severity is assigned per crash event based on the most severe injury in that crash. A single fatal crash (K) may involve multiple fatalities; therefore the "Persons Killed" count in the headline KPIs may differ from the "Fatal" crash count in the severity breakdown.
  • Contributing factors: Reflect the officer-determined primary contributory cause recorded at the time of the crash report. These are preliminary determinations and may not reflect final investigation findings.
  • Hit-and-run classification: Based on the hit-and-run indicator field in the official crash report, as determined by the responding officer at the scene.
  • Temporal analysis: Day-of-week and hour-of-day distributions are computed from the crash date/time timestamp in each record.
  • Demographics: Age and sex distributions are drawn from person-level records linked to each crash event. A single crash may involve multiple persons.
  • Vehicle data: Make information is drawn from vehicle unit records linked to each crash event.
  • AI commentary: Narrative sections are generated by Google Gemini (large language model) based on the structured data. Commentary is descriptive, not predictive, and should not be interpreted as expert opinion.

Limitations & Disclaimers

  • Only crashes reported to and documented by law enforcement are included. Minor incidents, unreported crashes, and near-misses are not captured in this dataset.
  • Data reflects conditions at the time of the initial police report and may be subject to subsequent corrections, reclassifications, or supplements by the reporting agency.
  • Open data portal records may experience a publication lag - recently occurring crashes may not yet appear in the dataset at the time of report generation.
  • AI-generated commentary is produced by a large language model and is intended to highlight patterns in the data. It does not constitute legal, medical, or professional analysis.
  • Percentages are calculated from reported data and are subject to rounding.

Non-Affiliation Disclosure

This report is produced independently by ThatCarHitMe.com (Injuria.ai). It is not affiliated with, endorsed by, or produced in partnership with any law enforcement agency, municipal government, state department of transportation, or the National Highway Traffic Safety Administration (NHTSA). Data is sourced from publicly available government open data portals.

Data License

The underlying crash data is provided under the municipality's Open Data Terms of Use and is made available to the public for unrestricted use. This analysis and report is © 2026 Injuria.ai and may be cited with attribution using the suggested citation below.

Corrections & Feedback

If you believe any data in this report is inaccurate or have questions about our methodology, please contact: data@injuria.ai. We are committed to accuracy and will issue corrections promptly.

Suggested Citation

ThatCarHitMe.com (Injuria.ai). "New York, NY Crash Intelligence Report: November 2025." Published June 16, 2026. Reporting period: 2025-11-01 to 2025-11-30. Data source: NYC Motor Vehicle Collisions, Socrata Open Data. Available at: https://thatcarhitme.com/crash-data/new-york/new-york/november-2025-report

About the Publisher

ThatCarHitMe.com is a crash data intelligence platform developed by Injuria.ai, a legal technology company specializing in traffic safety analytics. We aggregate and analyze publicly available government crash data to produce structured intelligence reports for communities, researchers, journalists, and legal professionals. Our reports combine programmatic data retrieval from official open data portals with AI-assisted narrative analysis.

Questions about this report's data or methodology: data@injuria.ai

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