ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MONTGOMERY, MD · NOVEMBER 2025
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/maryland/statewide/november-2025-report
Monthly Traffic Safety Analysis
959 CRASHES IN
MONTGOMERY, MD
NOVEMBER 2025
In November 2025, Montgomery County recorded 959 total traffic crashes, a 10.5% increase from the 868 crashes reported in November 2024. This period also saw a notable rise in crash severity, with total fatalities doubling from two to four year-over-year.
959
▲ 10.5%was 868
Total Crash Events
4
▲ 100.0%was 2
Persons Killed
313
▲ 5.0%was 298
Persons Injured
30
▲ 36.4%was 22
Hit-and-Run Crashes
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 37 crashes with unreported severity are not shown in the severity breakdown.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2025-11-01 to 2025-11-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic crashes in Montgomery County trended upward in November 2025 compared to the same month in the prior year. Total crashes increased by 10.5% from 868 to 959. Associated injuries also rose by 5.0%, from 298 to 313, while fatalities increased from two to four.
30
Hit-and-Run Crashes — November 2025
▲ 36.4% vs prior (22)
Hit-and-run incidents increased in both count and rate in November 2025 compared to the prior year. The number of hit-and-run crashes rose from 22 to 30, an increase of 36.4%. Consequently, the hit-and-run rate as a percentage of all crashes also trended upward, climbing from 2.5% in November 2024 to 3.1% in November 2025.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Cyclists Killed
3
Motorists Killed
0
Other Killed
57
Pedestrians Injured
13
Cyclists Injured
236
Motorists Injured
7
Other Injured
Source: Montgomery County Crash Reporting (ACRS) · 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 shifted between the two periods. In November 2025, the peak day for crashes was Tuesday with 152 incidents, and the peak hour was 6 p.m. with 84 incidents. This contrasts with November 2024, when Friday was the peak day (163 crashes) and 5 p.m. was the peak hour (74 crashes).
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2025-11-01 to 2025-11-30 · Crash date field aggregated by weekday
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2025-11-01 to 2025-11-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity increased in November 2025 compared to the previous year. The number of fatal crashes doubled from two to four, and crashes resulting in serious injuries rose from 12 to 20. While the number of minor injury crashes remained relatively stable (143 vs. 147), their proportion of all crashes decreased from 16.9% in November 2024 to 14.9% in November 2025.
Outcome by Severity (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2025-11-01 to 2025-11-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2025-11-01 to 2025-11-30 · Most severe injury per crash record
Top Contributing Factors
In both periods, 'Failed to Yield Right-of-Way' was the leading contributing factor, with the count of such crashes increasing by 25.3% from 79 in November 2024 to 99 in November 2025. The count of crashes attributed to 'Following Too Closely' also grew from 27 to 40. Similarly, 'Other Improper Action' saw an increase in count from 28 to 40 incidents year-over-year.
Officer-Reported Primary Contributing Cause
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2025-11-01 to 2025-11-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in clear weather and on dry roads remained the majority in both periods, though the proportion of crashes in adverse conditions saw a slight increase in November 2025. Crashes in rainy weather increased from 8.8% to 10.4% of all incidents, and those on wet roads rose from 11.0% to 13.0%. The share of crashes happening in dark conditions (lighted or unlighted) also grew from 40.7% in November 2024 to 44.0% in November 2025.
Weather
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2025-11-01 to 2025-11-30 · Weather condition at time of crash
Lighting
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2025-11-01 to 2025-11-30 · Lighting condition field
Road Surface
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2025-11-01 to 2025-11-30 · Road surface condition field
Vehicles & Demographics
The types of vehicles involved in crashes remained consistent year-over-year, with passenger cars, SUVs, and pickups being the most common in both periods. The top three vehicle makes involved in crashes were also unchanged: Toyota, Honda, and Ford. The number of Toyotas involved in crashes increased from 293 to 340, while the number of Fords decreased slightly from 146 to 139.
Top Vehicle Makes (1,657 vehicles)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2025-11-01 to 2025-11-30 · Vehicle unit records
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Montgomery County Crash Reporting (ACRS) (https://data.montgomerycountymd.gov/d/bhju-22kf), 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)
- Dataset URL: https://data.montgomerycountymd.gov/d/bhju-22kf
- 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: September 9, 2026
Data Coverage
- Reporting period: 2025-11-01 through 2025-11-30 (30 days)
- Geographic scope: montgomery, MD
- Total crash records analyzed: 959
- Total persons involved: 1,742
- Total vehicles involved: 1,657
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). "montgomery, MD Crash Intelligence Report: November 2025." Published September 9, 2026. Reporting period: 2025-11-01 to 2025-11-30. Data source: Montgomery County Crash Reporting (ACRS), Socrata Open Data. Dataset: https://data.montgomerycountymd.gov/d/bhju-22kf. Available at: https://thatcarhitme.com/crash-data/maryland/statewide/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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Montgomery County Crash Reporting (ACRS) · Socrata
Period: 2025-11-01 – 2025-11-30
Generated: September 9, 2026 · All rights reserved