ThatCarHitMe.com
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CRASH INTELLIGENCE REPORT · MONTGOMERY, MD · AUGUST 2020
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-2020-report
Monthly Traffic Safety Analysis
706 CRASHES IN
MONTGOMERY, MD
AUGUST 2020
In August 2020, Montgomery County recorded 706 traffic crashes, resulting in 5 fatalities and 240 injuries. A notable finding from the data is the near-equal prevalence of single-vehicle crashes and same-direction rear-end collisions, which together accounted for 297 incidents, or 42% of the total. These two collision types represent the most common crash scenarios for the period.
706
Total Crash Events
5
Persons Killed
240
Persons Injured
19.7%
Hit-and-Run Rate
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. 3 crashes with unreported severity are not shown in the severity breakdown.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Aggregate counts from crash, person, and vehicle records
139
Hit-and-Run Crashes — August 2020
During this period, 139 crashes were classified as hit-and-run incidents, representing 19.7% of all total crashes. This classification is based on the initial determination made by the responding law enforcement officer at the scene of the collision.
Vulnerable Road User Casualties
Motorists comprised the largest group of individuals killed or injured, with 4 fatalities and 209 injuries. Vulnerable road users were also significantly impacted; one pedestrian was killed and 17 were injured. Additionally, 13 cyclists sustained injuries, although no cyclist fatalities were reported in this period.
1
Pedestrians Killed
0
Cyclists Killed
4
Motorists Killed
0
Other Killed
17
Pedestrians Injured
13
Cyclists Injured
209
Motorists Injured
1
Other Injured
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Crash occurrences peaked on Saturdays, which saw 125 incidents, and Mondays with 124 incidents. The most frequent time for crashes was the 6 p.m. hour, with 55 events recorded. Analysis of lighting conditions shows that a majority of crashes, 482 out of 706, occurred during daylight hours.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Crash date field aggregated by weekday
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Of the 706 total crashes, 496 (70.3%) resulted in no injuries and were classified as property-damage-only events. The remaining incidents involved some level of harm, including 202 crashes with possible, minor, or serious injuries. There were 5 fatal crashes recorded during this period, which resulted in a total of 5 fatalities.
Outcome by Severity (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Most severe injury per crash record
Top Contributing Factors
The most frequently cited contributing factors were related to environmental conditions. The factor 'RAIN, SNOW, WET' was listed in 69 crashes (9.8% of total). Similarly, 'N/A, WET' was noted in 34 crashes, indicating that wet road conditions were a significant circumstance in many incidents.
Officer-Reported Primary Contributing Cause
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The majority of crashes occurred in favorable conditions, with 68.3% (482 crashes) happening in daylight, 64.3% (454 crashes) in clear weather, and 65.3% (461 crashes) on dry road surfaces. However, adverse conditions were also present in a notable number of incidents, with 122 crashes occurring during rain and 138 on wet road surfaces.
Weather
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Weather condition at time of crash
Lighting
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Lighting condition field
Road Surface
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Road surface condition field
Vehicles & Demographics
Passenger cars were the most prevalent vehicle type involved in collisions, accounting for 861 of the 1199 vehicles in the data. The most common vehicle makes recorded in crashes were Toyota (198 vehicles), Honda (173 vehicles), and Ford (126 vehicles). These figures represent the makes most frequently involved in reported crashes.
Top Vehicle Makes (1,199 vehicles)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Vehicle unit records
At-Fault Party
In crashes where fault was assigned, drivers were determined to be the at-fault party in the vast majority of cases. A driver was cited as at-fault in 655 incidents. By contrast, a non-motorist was found at fault in 10 crashes, and both parties were deemed at fault in 3 crashes.
Intersection Type
Four-way intersections were the most common location for crashes among specified intersection types, accounting for 224 incidents. T-intersections were the second most frequent site, with 99 crashes occurring at these junctions. Together, these two geometries represent the locations for 323 of the 348 crashes that occurred at a specified intersection type.
Junction Type
Crashes were more likely to occur at or near a junction than on a non-junction roadway segment. The data shows 237 crashes occurred within an intersection and an additional 78 were classified as intersection-related. In contrast, 166 crashes were reported on non-intersection roadway segments.
Junction Type
"Other" combines 2 smaller categories (3 records): COMMERCIAL DRIVEWAY (2), OTHER DRIVEWAY (1).
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Crash-level records
Roadway Division
The most common road design at crash locations was a two-way divided roadway with a positive median barrier, which was the site of 298 crashes. The second most frequent road type was a two-way, non-divided road, accounting for 207 crashes. These two road types made up the locations for 505 of the 600 crashes where road division was specified.
Roadway Division
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Crash-level records
Vehicle Damage Extent
Disabling damage was the most frequently reported level of vehicle damage, noted for 460 of the 1199 vehicles involved in crashes. This was followed by superficial damage, reported for 300 vehicles, and functional damage for 276 vehicles. A smaller number of vehicles, 75, were reported as destroyed.
Vehicle Damage Extent
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Vehicle unit records
Driver Action / Circumstance
The data categorizing driver actions leading to a crash primarily points to environmental factors. The most cited factor was 'RAIN, SNOW, WET,' recorded for 118 drivers. The second most common notation was 'N/A, WET,' listed for 59 drivers, further highlighting the role of wet conditions in these incidents.
Driver Action / Circumstance
Showing top 9 of 15 reported. 6 additional (9 total) not shown: BACKUP DUE TO REGULAR CONGESTION, N/A, ANIMAL, WET, N/A, PHYSICAL OBSTRUCTION(S), N/A, NON-HIGHWAY WORK, BACKUP DUE TO PRIOR CRASH, N/A, PHYSICAL OBSTRUCTION(S), RAIN, SNOW, V EXHAUST SYSTEM|R OTHER ROAD, WET.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Person-level records linked to crash events
Driver Distraction
Among drivers for whom a distraction was noted, 'Looked but did not see' was the most common circumstance, reported for 168 drivers. The next most frequent distraction was 'Inattentive or lost in thought,' which was cited for 36 drivers. 'Other distraction' was listed for 28 drivers involved in collisions.
Driver Distraction
Showing top 9 of 12 reported. 3 additional (3 total) not shown: NO DRIVER PRESENT, BY MOVING OBJECT IN VEHICLE, SMOKING RELATED.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Person-level records linked to crash events
First Harmful Event
The initial impact in the majority of crashes was with another moving vehicle, which was the first harmful event in 450 of the 706 total incidents (63.7%). The second most common event was a collision with a fixed object, which occurred in 119 crashes. Collisions with parked vehicles were the third most frequent initial event, accounting for 65 crashes.
First Harmful Event
Showing top 9 of 14 reported. 5 additional (8 total) not shown: OTHER NON COLLISION, OTHER PEDALCYCLE, OVERTURN, BACKING, THROWN OR FALLING OBJECT.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Crash-level records
Point of Impact
The front of the vehicle was the most common point of impact, with 508 vehicles (42.4%) being struck at the 'twelve o'clock' position. The rear of the vehicle ('six o'clock') was the second most frequent impact point, recorded for 189 vehicles. These front and rear impacts collectively account for the majority of collision points.
Point of Impact
"Other" combines 8 smaller categories (128 records): SEVEN OCLOCK (28), FIVE OCLOCK (27), THREE OCLOCK (25), FOUR OCLOCK (22), EIGHT OCLOCK (20), UNDERSIDE (3), ROOF TOP (2), NON-COLLISION (1).
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Vehicle unit records
Pre-Crash Driver Action
The most common action immediately prior to a crash was 'Moving Constant Speed,' reported for 532 vehicles. 'Slowing or Stopping' was the pre-crash action for 117 vehicles, and 'Making Left Turn' was reported for 115 vehicles. These three actions describe the circumstances for over half of the vehicles for which this information was recorded.
Pre-Crash Driver Action
Showing top 9 of 20 reported. 11 additional (80 total) not shown: STARTING FROM PARKED, PARKED, MAKING U TURN, PARKING, PASSING, ENTERING TRAFFIC LANE, RIGHT TURN ON RED, NEGOTIATING A CURVE, OTHER, DRIVERLESS MOVING VEH., SKIDDING.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Vehicle unit records
Pedestrian/Cyclist Action
Among the 33 non-motorists whose actions were documented, 19 were determined to have taken 'No Improper Actions' leading up to the collision. For those where an improper action was noted, 'In Roadway Improperly' was the most frequent, cited in 4 cases. Other noted actions included 'Dart Dash' and 'Failure to Obey Traffic Signs,' each recorded twice.
Pedestrian/Cyclist Action
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Non-motorist records linked to crash events
Manner of Collision
Single-vehicle crashes and same-direction rear-end collisions were the two most common crash types, with 149 and 148 incidents respectively. Together, these two manners of collision account for 42% of all crashes in the period. The third most common type was a straight movement angle crash, which occurred 128 times.
Manner of Collision
"Other" combines 9 smaller categories (55 records): SAME DIRECTION LEFT TURN (13), SAME DIRECTION RIGHT TURN (12), OPPOSITE DIRECTION SIDESWIPE (9), ANGLE MEETS LEFT TURN (7), SAME DIR REND LEFT TURN (4), SAME DIR BOTH LEFT TURN (4), SAME DIR REND RIGHT TURN (3), ANGLE MEETS RIGHT TURN (2), OPPOSITE DIR BOTH LEFT TURN (1).
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Crash-level records
Traffic Control Device
A significant portion of crashes occurred at locations with no traffic controls, accounting for 313 of the 706 total incidents (44.3%). Intersections with a traffic signal were the next most common location, with 211 crashes. Locations with a stop sign accounted for 40 crashes.
Traffic Control Device
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Crash-level records
Vehicle Type
Passenger cars were involved in crashes far more than any other vehicle type, accounting for 861 of the 1199 vehicles documented (71.8%). Sport utility vehicles were the second most common type with 116 involved, followed by pickup trucks with 54. Commercial vehicles like transit buses and medium/heavy trucks were involved in a smaller number of incidents.
Vehicle Type
"Other" combines 12 smaller categories (55 records): POLICE VEHICLE/EMERGENCY (11), MEDIUM/HEAVY TRUCKS 3 AXLES (OVER 10,000LBS (4,536 (9), MOTORCYCLE (7), AMBULANCE/EMERGENCY (6), CARGO VAN/LIGHT TRUCK 2 AXLES (OVER 10,000LBS (4,5 (6), FIRE VEHICLE/EMERGENCY (4), OTHER (4), FIRE VEHICLE/NON EMERGENCY (2), STATION WAGON (2), TRUCK TRACTOR (2), AUTOCYCLE (1), AMBULANCE/NON EMERGENCY (1).
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Vehicle unit records
Person Injury Severity
Of the 1240 people involved in crashes, the vast majority, 995 individuals, sustained no injuries. Five individuals suffered fatal injuries, and another 14 sustained suspected serious injuries. An additional 95 people had minor injuries and 131 had possible injuries.
Person Injury Severity
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Crash-level records
Vehicles Per Crash
Two-vehicle collisions were the most frequent crash configuration, accounting for 393 of the 706 incidents (55.7%). Single-vehicle crashes were the second most common type, with 262 incidents (37.1%). Multi-vehicle crashes involving three or more vehicles were less common, with 38 crashes involving three vehicles and 8 crashes involving four.
Vehicles Per Crash
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-08-01 to 2020-08-31 · Crash-level 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: 2020-08-01 through 2020-08-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2020-08-01 through 2020-08-31 (31 days)
- Geographic scope: montgomery, MD
- Total crash records analyzed: 706
- Total persons involved: 1,240
- Total vehicles involved: 1,199
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 2020." Published September 9, 2026. Reporting period: 2020-08-01 to 2020-08-31. 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-2020-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: 2020-08-01 – 2020-08-31
Generated: September 9, 2026 · All rights reserved