ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MONTGOMERY, MD · AUGUST 2021
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/august-2021-report
Monthly Traffic Safety Analysis
787 CRASHES IN
MONTGOMERY, MD
AUGUST 2021
In August 2021, Montgomery County recorded 787 total crashes, an 11.5% increase from the 706 crashes reported in August 2020. While total collisions rose, the number of fatalities decreased from 5 to 2 year-over-year. A notable shift was the 24.2% increase in the total number of people injured, which rose from 240 in the prior period to 298 in the current period.
787
▲ 11.5%was 706
Total Crash Events
2
▼ -60.0%was 5
Persons Killed
298
▲ 24.2%was 240
Persons Injured
159
▲ 14.4%was 139
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) 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 · 2021-08-01 to 2021-08-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash trends in Montgomery County for August show a year-over-year increase in total incidents and injuries. The number of crashes rose by 81, from 706 in August 2020 to 787 in August 2021. This period also saw a 24.2% increase in total injuries, from 240 to 298, even as fatalities fell from 5 to 2.
159
Hit-and-Run Crashes — August 2021
▲ 14.4% vs prior (139)
Hit-and-run incidents increased in both absolute numbers and as a percentage of total crashes. The count of hit-and-run crashes rose from 139 in August 2020 to 159 in August 2021. Consequently, the hit-and-run rate also trended upward, increasing from 19.7% to 20.2% year-over-year.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
0
Other Killed
24
Pedestrians Injured
11
Cyclists Injured
262
Motorists Injured
1
Other Injured
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-08-01 to 2021-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between August 2020 and August 2021. The peak day for crashes moved from Saturday (125 crashes) in the prior period to Monday (149 crashes) in the current period. The peak hour for collisions also shifted slightly earlier, moving from 6 p.m. (55 crashes) in 2020 to 5 p.m. (64 crashes) in 2021.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-08-01 to 2021-08-31 · Crash date field aggregated by weekday
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-08-01 to 2021-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes increased, the severity of those incidents showed a mixed trend. The number of fatal crashes decreased from 5 in August 2020 to 3 in August 2021, and the number of fatalities fell from 5 to 2. However, the count of crashes involving serious injuries rose from 13 to 20, and minor injury crashes increased from 82 to 111. The overall proportion of crashes resulting in any type of injury increased from 28.6% in the prior period to 32.3% in the current period.
Severity is per crash event (most severe injury). 3 fatal crash events resulted in 2 persons killed.
Outcome by Severity (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-08-01 to 2021-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-08-01 to 2021-08-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors for crashes were related to wet conditions in both periods, but their prevalence changed. Crashes attributed to 'RAIN, SNOW, WET' decreased in count by 46.4%, falling from 69 in August 2020 to 37 in August 2021, moving it from the top-ranked factor to second. Conversely, crashes with the factor 'N/A, WET' increased in count by 29.4%, from 34 to 44, making it the most cited factor in the current period.
Officer-Reported Primary Contributing Cause
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-08-01 to 2021-08-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in adverse weather and road conditions were less frequent in August 2021 compared to the prior year. The number of crashes occurring in rain decreased from 122 to 89, and their share of total crashes fell from 17.3% to 11.3%. Similarly, collisions on wet road surfaces declined from 138 to 112. The majority of crashes in both periods occurred during daylight, with a stable proportion around 69%.
Weather
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-08-01 to 2021-08-31 · Weather condition at time of crash
Lighting
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-08-01 to 2021-08-31 · Lighting condition field
Road Surface
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-08-01 to 2021-08-31 · Road surface condition field
Vehicles & Demographics
The vehicle makes most frequently involved in crashes remained consistent year-over-year. Toyota, Honda, and Ford were the top three makes in both August 2020 and August 2021, with their individual counts showing only minor changes. The number of passenger cars involved in crashes increased from 861 to 997, and the count for (Sport) Utility Vehicles rose from 116 to 131, reflecting the overall increase in total collisions.
Top Vehicle Makes (1,394 vehicles)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-08-01 to 2021-08-31 · 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: 2021-08-01 through 2021-08-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2021-08-01 through 2021-08-31 (31 days)
- Geographic scope: montgomery, MD
- Total crash records analyzed: 787
- Total persons involved: 1,434
- Total vehicles involved: 1,394
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 2021." Published September 9, 2026. Reporting period: 2021-08-01 to 2021-08-31. 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-2021-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: 2021-08-01 – 2021-08-31
Generated: September 9, 2026 · All rights reserved