ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MONTGOMERY, MD · SEPTEMBER 2022
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/september-2022-report
Monthly Traffic Safety Analysis
861 CRASHES IN
MONTGOMERY, MD
SEPTEMBER 2022
In September 2022, Montgomery County recorded 861 traffic crashes, a 6.1% decrease from the 917 crashes reported in September 2021. The most significant year-over-year change was the reduction in traffic fatalities, which dropped from 7 in the prior period to 0 in the current period. Total injuries also saw a decrease from 345 to 325.
861
▼ -6.1%was 917
Total Crash Events
0
▼ -100.0%was 7
Persons Killed
325
▼ -5.8%was 345
Persons Injured
173
▼ -3.4%was 179
Hit-and-Run Crashes
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 8 crashes with unreported severity are not shown in the severity breakdown.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-09-01 to 2022-09-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crashes in Montgomery County trended downward in September 2022 compared to the same month in the prior year. The total number of crashes fell by 6.1%, from 917 to 861. This downward trend was also reflected in the number of injuries, which decreased by 5.8% from 345 to 325, and fatalities, which fell from 7 to 0.
173
Hit-and-Run Crashes — September 2022
▼ -3.4% vs prior (179)
The number of hit-and-run incidents saw a slight decrease, falling from 179 in September 2021 to 173 in September 2022. Despite this drop in the absolute count, the hit-and-run rate as a proportion of total crashes increased slightly. The rate rose from 19.5% in the prior period to 20.1% in the current period.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
0
Motorists Killed
0
Other Killed
28
Pedestrians Injured
13
Cyclists Injured
282
Motorists Injured
2
Other Injured
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-09-01 to 2022-09-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed some shifts between the two periods. The peak day for crashes moved from Wednesday (197 crashes) in September 2021 to Friday (167 crashes) in September 2022. However, the peak hour for collisions remained consistent, occurring at 4 p.m. in both years, with 74 crashes in the prior period and 80 in the current period.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-09-01 to 2022-09-30 · Crash date field aggregated by weekday
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-09-01 to 2022-09-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity saw a notable improvement, with fatal crashes dropping from 7 in September 2021 to 0 in September 2022. The proportion of serious injury crashes remained relatively stable at approximately 2.0% in the prior period and 1.9% in the current period. While the share of minor injury crashes decreased slightly, crashes resulting in possible injuries increased as a share of all incidents from 14.8% to 17.7%.
Outcome by Severity (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-09-01 to 2022-09-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-09-01 to 2022-09-30 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors cited in crash reports shifted year-over-year. In September 2021, the most cited factor was 'RAIN, SNOW, WET' with 71 crashes, which fell to 36 crashes in September 2022, a 49.3% decrease in count. In the current period, 'N/A, WET' was the most frequent factor with 37 crashes, a slight increase from 35 crashes in the prior year. The count of crashes involving 'N/A, VISION OBSTRUCTION' increased from 6 to 11.
Officer-Reported Primary Contributing Cause
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-09-01 to 2022-09-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes under adverse weather and road conditions were less frequent in September 2022 compared to the prior year. The number of crashes occurring in rain decreased from 124 to 69, and crashes on wet road surfaces fell from 149 to 89. The majority of crashes in both periods occurred in clear weather on dry roads. Crashes in daylight conditions decreased from 636 to 587.
Weather
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-09-01 to 2022-09-30 · Weather condition at time of crash
Lighting
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-09-01 to 2022-09-30 · Lighting condition field
Road Surface
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-09-01 to 2022-09-30 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in collisions remained consistent across both periods: Toyota, Honda, and Ford. The count of Toyotas involved in crashes decreased from 246 to 232, and Hondas decreased from 184 to 165. Passenger cars continued to be the most common vehicle type in crashes, though their involvement decreased from 1118 vehicles in September 2021 to 1040 in September 2022.
Top Vehicle Makes (1,531 vehicles)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-09-01 to 2022-09-30 · 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: 2022-09-01 through 2022-09-30
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2022-09-01 through 2022-09-30 (30 days)
- Geographic scope: montgomery, MD
- Total crash records analyzed: 861
- Total persons involved: 1,581
- Total vehicles involved: 1,531
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: September 2022." Published September 9, 2026. Reporting period: 2022-09-01 to 2022-09-30. 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/september-2022-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: 2022-09-01 – 2022-09-30
Generated: September 9, 2026 · All rights reserved