ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MONTGOMERY, MD · JULY 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/july-2022-report
Monthly Traffic Safety Analysis
791 CRASHES IN
MONTGOMERY, MD
JULY 2022
In July 2022, Montgomery County recorded 791 total crashes, a 7.2% decrease from the 852 crashes reported in July 2021. While the total number of crashes declined, the most significant year-over-year change was the increase in fatalities, which rose from 2 to 5. The number of injuries remained relatively stable, with 314 people injured in July 2022 compared to 307 in the prior year.
791
▼ -7.2%was 852
Total Crash Events
5
▲ 150.0%was 2
Persons Killed
314
▲ 2.3%was 307
Persons Injured
178
▼ -12.7%was 204
Hit-and-Run Crashes
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 5 crashes with unreported severity are not shown in the severity breakdown.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-07-01 to 2022-07-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash trends in Montgomery County show a decrease in total collision volume when comparing July 2022 to the previous year, with total incidents falling by 7.2% from 852 to 791. However, the severity of these crashes increased, as fatalities more than doubled from 2 to 5, and total injuries rose slightly by 2.3% from 307 to 314.
178
Hit-and-Run Crashes — July 2022
▼ -12.7% vs prior (204)
The number of hit-and-run crashes decreased from 204 in July 2021 to 178 in July 2022, a 12.7% reduction. The hit-and-run rate, which measures the proportion of total crashes that were hit-and-runs, also trended downward. It fell from 23.9% in the prior year to 22.5% in the current period, more recent period.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
5
Motorists Killed
0
Other Killed
33
Pedestrians Injured
10
Cyclists Injured
268
Motorists Injured
3
Other Injured
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-07-01 to 2022-07-31 · 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 July 2022, the peak day for crashes was Sunday with 152 incidents, a change from July 2021 when the peak was Thursday with 162 incidents. Similarly, the peak hour for collisions moved an hour later, from 3 p.m. (69 crashes) in the prior year to 4 p.m. (60 crashes) in the current year.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-07-01 to 2022-07-31 · Crash date field aggregated by weekday
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-07-01 to 2022-07-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity worsened in July 2022 compared to the same month in 2021. The number of fatal crashes increased from 2 to 5, and the total number of persons killed rose from 2 to 5. The proportion of crashes resulting in serious injury also increased, rising from 1.8% of total incidents (15 crashes) in 2021 to 3.0% (24 crashes) in 2022.
Outcome by Severity (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-07-01 to 2022-07-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-07-01 to 2022-07-31 · Most severe injury per crash record
Top Contributing Factors
The top contributing factors showed shifts in volume between July 2021 and July 2022, though the leading factor remained consistent. The count of crashes attributed to 'RAIN, SNOW, WET' increased from 34 to 44. Similarly, incidents with a factor of 'N/A, WET' rose from 23 to 31. In contrast, crashes involving animals ('ANIMAL, N/A') saw a notable decrease, falling from 8 incidents in the prior year to 2 in the current period.
Officer-Reported Primary Contributing Cause
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-07-01 to 2022-07-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
A comparison of crash conditions reveals a notable increase in crashes occurring on wet roads, which rose from 69 in July 2021 to 98 in July 2022. This corresponds with an increase in crashes during rain, which went from 53 to 82 over the same period. While the majority of crashes in both years occurred in daylight on dry roads, the number of incidents in daylight conditions decreased from 623 to 560 year-over-year.
Weather
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-07-01 to 2022-07-31 · Weather condition at time of crash
Lighting
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-07-01 to 2022-07-31 · Lighting condition field
Road Surface
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-07-01 to 2022-07-31 · Road surface condition field
Vehicles & Demographics
Passenger cars were the most common vehicle type involved in crashes in both periods, followed by utility vehicles and pickup trucks. A review of vehicle makes shows Toyota, Honda, and Ford as the top three in both July 2021 and July 2022. The count of Toyotas in crashes increased from 194 to 203, while Hondas and Fords saw decreases from 174 to 137 and 142 to 117, respectively.
Top Vehicle Makes (1,396 vehicles)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-07-01 to 2022-07-31 · 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: 2022-07-01 through 2022-07-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2022-07-01 through 2022-07-31 (31 days)
- Geographic scope: montgomery, MD
- Total crash records analyzed: 791
- Total persons involved: 1,446
- Total vehicles involved: 1,396
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: July 2022." Published September 9, 2026. Reporting period: 2022-07-01 to 2022-07-31. 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/july-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: 2022-07-01 – 2022-07-31
Generated: September 9, 2026 · All rights reserved