ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MONTGOMERY, MD · AUGUST 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.
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GET: https://thatcarhitme.com/api/crash-data/reports/data/maryland/statewide/august-2023-report
Monthly Traffic Safety Analysis
851 CRASHES IN
MONTGOMERY, MD
AUGUST 2023
In August 2023, Montgomery County recorded 851 traffic crashes, an increase of 9.2% from the 779 crashes reported in August 2022. While total collisions rose, the number of fatalities decreased from four to one during the same period. A notable year-over-year shift was the increase in hit-and-run incidents, which rose from 158 to 215.
851
▲ 9.2%was 779
Total Crash Events
1
▼ -75.0%was 4
Persons Killed
339
▲ 14.1%was 297
Persons Injured
215
▲ 36.1%was 158
Hit-and-Run Crashes
Note: "Persons Killed" (1) 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. 7 crashes with unreported severity are not shown in the severity breakdown.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-08-01 to 2023-08-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year data indicates a rising trend in total crashes for August, with an increase from 779 in 2022 to 851 in 2023. The number of persons injured also increased by 14.1%, from 297 to 339. Conversely, fatalities saw a significant decrease, dropping from four in August 2022 to one in August 2023.
215
Hit-and-Run Crashes — August 2023
▲ 36.1% vs prior (158)
Hit-and-run incidents increased significantly in August 2023 compared to the same month in 2022. The number of hit-and-run crashes rose from 158 to 215, a 36.1% increase in count. Consequently, the hit-and-run rate, representing the proportion of total crashes that were hit-and-runs, climbed from 20.3% to 25.3%.
Vulnerable Road User Casualties
0
Pedestrians Killed
1
Cyclists Killed
0
Motorists Killed
0
Other Killed
28
Pedestrians Injured
10
Cyclists Injured
293
Motorists Injured
8
Other Injured
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-08-01 to 2023-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed shifts between August 2022 and August 2023. The peak day for collisions moved from Tuesday (140 crashes) in the prior year to Wednesday (154 crashes) in the current period. Similarly, the peak hour for crashes shifted from the 5 PM evening commute (69 crashes) in 2022 to the midday hour of 12 PM (65 crashes) in 2023.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-08-01 to 2023-08-31 · Crash date field aggregated by weekday
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-08-01 to 2023-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Comparing crash severity, August 2023 saw a lower fatal crash rate of 0.12% (1 crash) compared to 0.51% (4 crashes) in August 2022. The proportion of serious injury crashes increased slightly from 2.1% to 2.5% of total incidents, with the absolute count rising from 16 to 21. Minor injury crashes also saw a small proportional increase from 12.3% to 12.8%, while possible injury crashes decreased as a share of the total from 18.1% to 16.8%.
Outcome by Severity (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-08-01 to 2023-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-08-01 to 2023-08-31 · Most severe injury per crash record
Top Contributing Factors
The primary contributing factors cited in crashes remained consistent year-over-year. In August 2023, 'RAIN, SNOW, WET' was the top factor, associated with 31 crashes, a slight decrease from 32 crashes in August 2022. The second most common factor, 'N/A, WET', was linked to 19 crashes in the current period, compared to 18 in the prior year. The overall ranking and count of the top factors showed minimal change between the two periods.
Officer-Reported Primary Contributing Cause
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-08-01 to 2023-08-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions in August 2023 were broadly similar to those in August 2022. Crashes in clear weather constituted 75.9% of the total in 2023, compared to 78.4% in 2022, while crashes on wet roads accounted for 8.1% of incidents, down from 9.2% the previous year. Daylight conditions were present in 75.2% of crashes in the current period versus 73.3% in the prior period, indicating no significant shift in the prevalence of adverse conditions.
Weather
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-08-01 to 2023-08-31 · Weather condition at time of crash
Lighting
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-08-01 to 2023-08-31 · Lighting condition field
Road Surface
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-08-01 to 2023-08-31 · Road surface condition field
Vehicles & Demographics
The most common vehicle makes involved in crashes remained consistent between August 2022 and August 2023. Toyota, Honda, and Ford were the top three makes in both periods. In August 2023, Toyota vehicles were involved in 193 crashes (down from 210), Honda in 178 (up from 173), and Ford in 149 (up from 145). The overall hierarchy of the most frequently involved vehicle makes showed no significant changes year-over-year.
Top Vehicle Makes (1,492 vehicles)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2023-08-01 to 2023-08-31 · 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: 2023-08-01 through 2023-08-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2023-08-01 through 2023-08-31 (31 days)
- Geographic scope: montgomery, MD
- Total crash records analyzed: 851
- Total persons involved: 1,550
- Total vehicles involved: 1,492
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: August 2023." Published September 9, 2026. Reporting period: 2023-08-01 to 2023-08-31. 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/august-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: 2023-08-01 – 2023-08-31
Generated: September 9, 2026 · All rights reserved