ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MONTGOMERY, MD · JANUARY 2024
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/january-2024-report
Monthly Traffic Safety Analysis
868 CRASHES IN
MONTGOMERY, MD
JANUARY 2024
In January 2024, Montgomery County recorded 868 total crashes, a 4.6% increase from the 830 crashes in January 2023. While overall crashes and injuries rose, fatalities fell from two to zero. The most significant year-over-year change was a dramatic decrease in reported hit-and-run incidents, which fell from 183 to 17.
868
▲ 4.6%was 830
Total Crash Events
0
▼ -100.0%was 2
Persons Killed
277
▲ 10.8%was 250
Persons Injured
17
▼ -90.7%was 183
Hit-and-Run Crashes
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 36 crashes with unreported severity are not shown in the severity breakdown.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2024-01-01 to 2024-01-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash trends in Montgomery County showed a year-over-year increase for the month of January. Total crashes rose by 4.6%, from 830 to 868, and the number of people injured increased by 10.8%, from 250 to 277. In contrast, the number of fatalities recorded decreased from two in January 2023 to zero in January 2024.
17
Hit-and-Run Crashes — January 2024
▼ -90.7% vs prior (183)
There was a substantial year-over-year decrease in reported hit-and-run crashes. The number of incidents fell from 183 in January 2023 to 17 in January 2024. This corresponds to a sharp decline in the hit-and-run rate, which dropped from 22% of all crashes in the prior year period to just 2% in the current period.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
0
Motorists Killed
0
Other Killed
45
Pedestrians Injured
1
Cyclists Injured
228
Motorists Injured
3
Other Injured
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2024-01-01 to 2024-01-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes shifted slightly between the two periods. In January 2024, the peak day for crashes was Monday with 158 incidents, a change from the prior year's peak on Tuesday, which saw 150 crashes. The peak hour also moved slightly earlier, from 6 PM (63 crashes) in 2023 to 5 PM (62 crashes) in 2024.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2024-01-01 to 2024-01-31 · Crash date field aggregated by weekday
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2024-01-01 to 2024-01-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes increased, their severity profile showed a positive trend regarding fatalities, with fatal crashes dropping from two to one and total fatalities falling from two to zero. The proportion of crashes involving serious injuries increased slightly from 1.2% to 1.6% of all incidents, and minor injury crashes rose from 10.6% to 14.4%.
Severity is per crash event (most severe injury). 1 fatal crash events resulted in 0 persons killed.
Outcome by Severity (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2024-01-01 to 2024-01-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2024-01-01 to 2024-01-31 · Most severe injury per crash record
Top Contributing Factors
Officer-Reported Primary Contributing Cause
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2024-01-01 to 2024-01-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The most notable difference in conditions was the impact of winter weather. January 2024 saw 98 crashes occur in snow or freezing rain, with 108 total crashes on roads affected by snow, ice, or slush; these conditions were largely absent in the prior year's data. Consequently, the proportion of crashes on dry roads decreased from 59.0% to 51.6% year-over-year. Crashes in daylight remained the most common scenario, accounting for 53.6% of incidents in 2024 versus 51.4% in 2023.
Weather
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2024-01-01 to 2024-01-31 · Weather condition at time of crash
Lighting
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2024-01-01 to 2024-01-31 · Lighting condition field
Road Surface
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2024-01-01 to 2024-01-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes—Toyota, Honda, and Ford—remained the same in both January 2023 and January 2024. A notable shift occurred in vehicle types, with Sport Utility Vehicles (SUVs) seeing a 47% increase in crash involvement, from 148 incidents to 218. Conversely, the number of passenger cars involved in crashes decreased from 1,007 to 970.
Top Vehicle Makes (1,483 vehicles)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2024-01-01 to 2024-01-31 · 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: 2024-01-01 through 2024-01-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-01-31 (31 days)
- Geographic scope: montgomery, MD
- Total crash records analyzed: 868
- Total persons involved: 1,540
- Total vehicles involved: 1,483
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: January 2024." Published September 9, 2026. Reporting period: 2024-01-01 to 2024-01-31. 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/january-2024-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: 2024-01-01 – 2024-01-31
Generated: September 9, 2026 · All rights reserved