ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MONTGOMERY, MD · JULY 2023
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-2023-report
Monthly Traffic Safety Analysis
827 CRASHES IN
MONTGOMERY, MD
JULY 2023
In July 2023, Montgomery County recorded 827 total traffic crashes, a 4.6% increase from the 791 crashes documented in July 2022. While the overall number of crashes rose, the total number of injuries reported decreased by 9.6%, from 314 to 284. The most significant shift was a 45.8% decrease in the number of serious injury crashes, which fell from 24 to 13 year-over-year.
827
▲ 4.6%was 791
Total Crash Events
6
▲ 20.0%was 5
Persons Killed
284
▼ -9.6%was 314
Persons Injured
187
▲ 5.1%was 178
Hit-and-Run Crashes
Note: "Persons Killed" (6) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 4 crashes with unreported severity are not shown in the severity breakdown.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash trends in Montgomery County show a 4.6% year-over-year increase in total incidents for July, rising from 791 to 827. However, this increase in crashes was accompanied by a 9.6% decrease in total injuries, which fell from 314 to 284. Fatalities saw a slight increase, with 6 individuals killed in July 2023 compared to 5 in the same month of the prior year.
187
Hit-and-Run Crashes — July 2023
▲ 5.1% vs prior (178)
The number of hit-and-run crashes increased by 5.1%, from 178 incidents in July 2022 to 187 in July 2023. Despite the rise in the absolute number of these events, the hit-and-run rate as a percentage of total crashes remained nearly stable. The rate was 22.6% in July 2023, a minimal increase from the 22.5% rate recorded in the prior year.
Vulnerable Road User Casualties
2
Pedestrians Killed
0
Cyclists Killed
4
Motorists Killed
0
Other Killed
23
Pedestrians Injured
10
Cyclists Injured
245
Motorists Injured
6
Other Injured
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-07-01 to 2023-07-31 · 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 2023, the peak day for crashes was Monday with 136 incidents, a change from the prior year's peak on Sunday, which saw 152 crashes. The peak hour also shifted earlier, from 4 PM (60 crashes) in 2022 to 3 PM (76 crashes) in 2023, with the peak hour volume increasing.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes showed a mixed profile year-over-year. The number of fatal crashes increased from 5 to 6, and the fatal crash rate rose slightly from 0.6% to 0.7% of all crashes. Conversely, there was a marked decrease in more severe non-fatal incidents, with serious injury crashes dropping from 24 to 13. Consequently, the proportion of crashes resulting in no injury increased from 66.2% to 69.8%.
Outcome by Severity (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record
Top Contributing Factors
An analysis of contributing factors shows a notable change in crash circumstances involving weather. Crashes attributed to 'RAIN, SNOW, WET' conditions saw a 43.2% decrease in count, falling from 44 to 25 incidents year-over-year. Similarly, crashes linked to 'N/A, WET' conditions dropped from 31 to 26. In contrast, incidents citing 'BACKUP DUE TO REGULAR CONGESTION, N/A' increased significantly in count from 2 to 10, becoming the third most cited factor in July 2023.
Officer-Reported Primary Contributing Cause
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions were generally less adverse in July 2023 compared to the prior year. Crashes occurring during rain decreased from 82 to 49, and incidents on wet road surfaces fell from 98 to 77. A higher proportion of crashes happened in daylight (75.0% vs. 70.8%), while the share of crashes in 'Dark - Lighted' conditions decreased from 21.4% to 17.0%.
Weather
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash
Lighting
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field
Road Surface
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-07-01 to 2023-07-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained consistent year-over-year: Toyota, Honda, and Ford. However, the counts for these makes shifted. The number of Toyota vehicles in crashes decreased from 203 to 181. In contrast, Honda vehicles involved in crashes increased from 137 to 167, and Ford vehicles increased from 117 to 122.
Top Vehicle Makes (1,446 vehicles)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2023-07-01 through 2023-07-31 (31 days)
- Geographic scope: montgomery, MD
- Total crash records analyzed: 827
- Total persons involved: 1,493
- Total vehicles involved: 1,446
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 2023." Published September 9, 2026. Reporting period: 2023-07-01 to 2023-07-31. 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-2023-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: 2023-07-01 – 2023-07-31
Generated: September 9, 2026 · All rights reserved