Monthly Traffic Safety Analysis

727 CRASHES IN
MONTGOMERY, MD
OCTOBER 2020

In October 2020, Montgomery County recorded 727 traffic crashes, resulting in 5 fatalities and 280 injuries. The most frequent type of collision was a rear-end crash, accounting for 172 incidents, or 23.7% of all crashes during this period. These incidents involved a total of 1,233 vehicles and 1,289 individuals.

727

Total Crash Events

5

Persons Killed

280

Persons Injured

18.8%

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. 2 crashes with unreported severity are not shown in the severity breakdown.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Aggregate counts from crash, person, and vehicle records

137

Hit-and-Run Crashes — October 2020

During this period, 137 crashes were classified as hit-and-run incidents, representing 18.8% of the total crashes. This designation 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 3 fatalities and 232 injuries. Vulnerable road users also sustained significant harm; one pedestrian was killed and 30 were injured in 35 separate incidents. Additionally, one cyclist was killed and 13 were injured in 14 crashes involving bicycles.

1

Pedestrians Killed

1

Cyclists Killed

3

Motorists Killed

0

Other Killed

30

Pedestrians Injured

13

Cyclists Injured

232

Motorists Injured

5

Other Injured

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash frequencies were highest towards the end of the week, peaking on Saturday with 133 incidents, followed by Thursday (117) and Friday (116). The most hazardous time of day was the afternoon commute, with the hours of 4 p.m. and 5 p.m. each recording a peak of 58 crashes. Collisions occurred most frequently during daylight hours, with a secondary, smaller peak in the late evening.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Crash date field aggregated by weekday

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The majority of crashes, 65.3% (475 incidents), resulted in no injuries. Injury-involved crashes accounted for 34.4% of the total, including 147 crashes with possible injuries, 87 with minor injuries, and 11 with serious injuries. There were 5 fatal crashes recorded, which resulted in 5 fatalities.

Outcome by Severity (Crash Events)

Fatal5fatal crashes0.7%
Serious Injury11serious injury crashes1.5%
Minor Injury87minor injury crashes12%
Possible Injury147possible injury crashes20.2%
No Injury475no injury crashes65.3%

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Most severe injury per crash record

Top Contributing Factors

The most commonly cited contributing factors were related to environmental conditions rather than specific driver errors. Wet conditions, often combined with rain or snow, were listed in the top two factors, contributing to a combined 106 incidents (14.6%). Specifically, 'RAIN, SNOW, WET' was a factor in 66 crashes, and 'N/A, WET' was a factor in 40 crashes.

Officer-Reported Primary Contributing Cause

RAIN, SNOW, WET66 (9.1%)
N/A, WET40 (5.5%)
SLEET, HAIL, FREEZ. RAIN, WET8 (1.1%)
N/A, VISION OBSTRUCTION (INCL. BLINDED BY SUN)8 (1.1%)
ANIMAL, N/A7 (1%)
N/A, RAIN, SNOW3 (0.4%)
BACKUP DUE TO REGULAR CONGESTION, N/A2 (0.3%)
DEBRIS OR OBSTRUCTION, N/A2 (0.3%)
N/A, V EXHAUST SYSTEM|R OTHER ROAD, WORN, TRAVEL-POLISHED SURFACE1 (0.1%)
RAIN, SNOW, TRAFFIC CONTROL DEVICE INOPERATIVE, WET1 (0.1%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

A majority of crashes occurred in favorable conditions, with 58.9% (428 incidents) happening in daylight, 66.2% (481 incidents) in clear weather, and 66.3% (482 incidents) on dry road surfaces. However, adverse conditions were still a factor, with 141 crashes (19.4%) on wet roads and 119 crashes (16.4%) occurring during rain.

Weather

Clear481 (70.7%)
Rain119 (17.5%)
Cloudy69 (10.1%)
Fog, Smog, Smoke8 (1.2%)
Other3 (0.4%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Weather condition at time of crash

Lighting

Daylight428 (59.9%)
Dark - Lighted205 (28.7%)
Dark - Not Lighted34 (4.8%)
Dawn19 (2.7%)
Dusk17 (2.4%)
Dark - Unknown Lighting10 (1.4%)
Other1 (0.1%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Lighting condition field

Road Surface

Dry482 (77.4%)
Wet141 (22.6%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Road surface condition field

Vehicles & Demographics

Of the 1,233 vehicles involved in crashes, passenger cars were the most common type, accounting for 853 vehicles. The most frequently recorded vehicle makes were Toyota with 183 vehicles, followed by Ford and Honda, each with 129 vehicles involved in collisions. The dataset did not contain sufficient information to analyze the age distribution of drivers.

Top Vehicle Makes (1,233 vehicles)

1
TOYOTA183 (14.8%)
2
FORD129 (10.5%)
3
HONDA129 (10.5%)
4
NISSAN69 (5.6%)
5
TOYT48 (3.9%)
6
DODGE38 (3.1%)
7
HYUNDAI36 (2.9%)
8
JEEP31 (2.5%)
9
BMW28 (2.3%)
10
HOND25 (2%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Vehicle unit records

At-Fault Party

In crashes where fault was assigned, drivers were determined to be at fault in 681 instances, representing 97.4% of the 699 crashes with a fault determination. Non-motorists were found at fault in 14 cases (2.0%), and both parties were assigned fault in 4 cases (0.6%).

Intersection Type

Among crashes occurring at intersections with a defined geometry, four-way intersections were the most common location, accounting for 215 incidents. T-intersections were the site of the second-highest number of crashes with 110 incidents.

Junction Type

Crashes were more likely to occur at or near a junction than on an open stretch of road. A total of 251 crashes (46.5% of those with a reported junction type) occurred within an intersection, while another 75 were classified as intersection-related. Non-intersection roadway segments accounted for 178 crashes (33.0%).

Junction Type

"Other" combines 2 smaller categories (3 records): OTHER DRIVEWAY (2), RESIDENTIAL DRIVEWAY (1).

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · 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 313 crashes. The second most frequent road type was a two-way, undivided roadway, where 222 crashes occurred.

Roadway Division

1
TWO-WAY, DIVIDED, POSITIVE MEDIAN BARRIER313 (49.2%)
2
TWO-WAY, NOT DIVIDED222 (34.9%)
3
TWO-WAY, DIVIDED, UNPROTECTED PAINTED MIN 4 FEET65 (10.2%)
4
ONE-WAY TRAFFICWAY21 (3.3%)
5
OTHER11 (1.7%)
6
TWO-WAY, NOT DIVIDED WITH A CONTINUOUS LEFT TURN4 (0.6%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Crash-level records

Vehicle Damage Extent

The most frequently reported level of vehicle damage was 'Disabling,' which was noted for 471 vehicles. 'Functional' damage was reported for 295 vehicles, and 'Superficial' damage was reported for 290 vehicles. A total of 69 vehicles were reported as 'Destroyed'.

Vehicle Damage Extent

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Vehicle unit records

Driver Action / Circumstance

The top contributing factors attributed to drivers were environmental, with 'RAIN, SNOW, WET' cited for 111 drivers and 'N/A, WET' for 67 drivers. Vision obstruction, including being blinded by the sun, was listed as a factor for 19 drivers.

Driver Action / Circumstance

1
RAIN, SNOW, WET111 (46.4%)
2
N/A, WET67 (28%)
3
N/A, VISION OBSTRUCTION (INCL. BLINDED BY SUN)19 (7.9%)
4
SLEET, HAIL, FREEZ. RAIN, WET11 (4.6%)
5
ANIMAL, N/A7 (2.9%)
6
N/A, RAIN, SNOW5 (2.1%)
7
BACKUP DUE TO REGULAR CONGESTION, N/A4 (1.7%)
8
DEBRIS OR OBSTRUCTION, N/A3 (1.3%)
9
N/A, V EXHAUST SYSTEM|R OTHER ROAD, WORN, TRAVEL-POLISHED SURFACE2 (0.8%)

Showing top 9 of 16 reported. 7 additional (10 total) not shown: N/A, TRAFFIC CONTROL DEVICE INOPERATIVE, BACKUP DUE TO REGULAR CONGESTION, RAIN, SNOW, V EXHAUST SYSTEM|R OTHER ROAD, WET, RAIN, SNOW, TRAFFIC CONTROL DEVICE INOPERATIVE, WET, N/A, ROAD UNDER CONSTRUCTION/MAINTENANCE, ANIMAL, RAIN, SNOW, WET, N/A, SMOG, SMOKE, N/A, RUTS, HOLES, BUMPS.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Person-level records linked to crash events

Driver Distraction

Among drivers for whom a distraction was recorded, the most common was 'Looked but did not see,' reported for 167 drivers. Other notable distractions included being 'Inattentive or lost in thought' (39 drivers) and 'Other distraction' (36 drivers).

Driver Distraction

1
NOT DISTRACTED732 (73.4%)
2
LOOKED BUT DID NOT SEE167 (16.8%)
3
INATTENTIVE OR LOST IN THOUGHT39 (3.9%)
4
OTHER DISTRACTION36 (3.6%)
5
DISTRACTED BY OUTSIDE PERSON OBJECT OR EVENT7 (0.7%)
6
OTHER CELLULAR PHONE RELATED4 (0.4%)
7
BY OTHER OCCUPANTS3 (0.3%)
8
ADJUSTING AUDIO AND OR CLIMATE CONTROLS2 (0.2%)
9
NO DRIVER PRESENT2 (0.2%)

Showing top 9 of 12 reported. 3 additional (5 total) not shown: OTHER ELECTRONIC DEVICE (NAVIGATIONAL PALM PILOT), SMOKING RELATED, USING OTHER DEVICE CONTROLS INTEGRAL TO VEHICLE.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Person-level records linked to crash events

First Harmful Event

The first harmful event in the majority of crashes was a collision with another motor vehicle, which occurred in 478 incidents (65.7%). The second most common event was striking a fixed object, such as a guardrail or pole, which happened in 91 crashes (12.5%). Collisions with parked vehicles were the third most frequent event, with 50 incidents.

First Harmful Event

1
OTHER VEHICLE478 (66.6%)
2
FIXED OBJECT91 (12.7%)
3
PARKED VEHICLE50 (7%)
4
PEDESTRIAN39 (5.4%)
5
OFF ROAD18 (2.5%)
6
BICYCLE13 (1.8%)
7
ANIMAL13 (1.8%)
8
OTHER7 (1%)
9
OTHER OBJECT6 (0.8%)

Showing top 9 of 12 reported. 3 additional (3 total) not shown: OVERTURN, BACKING, UNITS SEPARATED.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Crash-level records

Point of Impact

The front of the vehicle ('Twelve Oclock') was the most common point of impact, involved in 509 instances, representing 41.3% of all vehicle impacts recorded. The second most frequent impact point was the rear of the vehicle ('Six Oclock'), which was struck in 227 cases (18.4%).

Point of Impact

"Other" combines 7 smaller categories (138 records): NINE OCLOCK (29), FIVE OCLOCK (29), SEVEN OCLOCK (26), THREE OCLOCK (22), EIGHT OCLOCK (20), NON-COLLISION (6), UNDERSIDE (6).

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Vehicle unit records

Pre-Crash Driver Action

The most common action for vehicles immediately prior to a crash was 'Moving Constant Speed,' reported for 549 vehicles (44.5% of total). Other frequent pre-crash actions included 'Slowing or Stopping' (141 vehicles) and 'Making Left Turn' (122 vehicles).

Pre-Crash Driver Action

1
MOVING CONSTANT SPEED549 (45.4%)
2
SLOWING OR STOPPING141 (11.7%)
3
MAKING LEFT TURN122 (10.1%)
4
STOPPED IN TRAFFIC LANE116 (9.6%)
5
ACCELERATING72 (6%)
6
BACKING43 (3.6%)
7
MAKING RIGHT TURN29 (2.4%)
8
STARTING FROM LANE29 (2.4%)
9
CHANGING LANES27 (2.2%)

Showing top 9 of 20 reported. 11 additional (81 total) not shown: PARKING, PARKED, STARTING FROM PARKED, ENTERING TRAFFIC LANE, MAKING U TURN, SKIDDING, PASSING, NEGOTIATING A CURVE, LEAVING TRAFFIC LANE, OTHER, RIGHT TURN ON RED.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Vehicle unit records

Pedestrian/Cyclist Action

Among pedestrians and cyclists whose actions were recorded, 32 were determined to have taken 'No Improper Actions'. For those with noted improper actions, 'Failure to Yield Right of Way' was the most common, cited in 8 cases, followed by 'Dart Dash' and 'In Roadway Improperly', each cited in 5 cases.

Pedestrian/Cyclist Action

1
NO IMPROPER ACTIONS32 (60.4%)
2
FAILURE TO YIELD RIGHT OF WAY8 (15.1%)
3
DART DASH5 (9.4%)
4
IN ROADWAY IMPROPERLY5 (9.4%)
5
ENTERING EXITING PARKED STANDING VEHICLE1 (1.9%)
6
NOT VISIBLE1 (1.9%)
7
INATTENTIVE1 (1.9%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Non-motorist records linked to crash events

Manner of Collision

The most prevalent type of crash was a 'Same Dir Rear End' collision, accounting for 172 incidents, or 23.7% of all crashes. Single-vehicle crashes were the second most common manner of collision with 142 incidents (19.5%), followed by 'Straight Movement Angle' crashes with 129 incidents (17.7%).

Manner of Collision

"Other" combines 7 smaller categories (45 records): SAME DIRECTION RIGHT TURN (13), ANGLE MEETS LEFT TURN (11), SAME DIRECTION LEFT TURN (11), OPPOSITE DIRECTION SIDESWIPE (6), ANGLE MEETS LEFT HEAD ON (2), SAME DIR REND LEFT TURN (1), SAME DIR BOTH LEFT TURN (1).

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Crash-level records

Traffic Control Device

A significant portion of crashes occurred where no traffic controls were present, accounting for 300 incidents (41.3%). Locations with a traffic signal were the next most common site for crashes, with 235 incidents (32.3%) occurring at signalized intersections.

Traffic Control Device

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Crash-level records

Vehicle Type

Passenger cars were the predominant vehicle type involved in collisions, accounting for 853 of the 1,233 vehicles (69.2%). Sport utility vehicles were the second most common type with 117 vehicles, followed by pickup trucks with 70 vehicles.

Vehicle Type

"Other" combines 13 smaller categories (64 records): OTHER LIGHT TRUCKS (10,000LBS (4,536KG) OR LESS) (13), MEDIUM/HEAVY TRUCKS 3 AXLES (OVER 10,000LBS (4,536 (11), MOTORCYCLE (7), OTHER (7), STATION WAGON (6), POLICE VEHICLE/EMERGENCY (6), TRUCK TRACTOR (4), FIRE VEHICLE/EMERGENCY (3), AMBULANCE/EMERGENCY (2), FIRE VEHICLE/NON EMERGENCY (2), CROSS COUNTRY BUS (1), OTHER BUS (1), SCHOOL BUS (1).

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Vehicle unit records

Person Injury Severity

Of the 1,289 people involved in crashes, the vast majority (1,004 individuals) sustained no apparent injury. Among those who were injured, 171 sustained possible injuries, 96 had minor injuries, and 13 had serious injuries. A total of 5 individuals sustained fatal injuries.

Person Injury Severity

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · Crash-level records

Vehicles Per Crash

Two-vehicle collisions were the most common type, accounting for 406 crashes, or 55.8% of the total. Single-vehicle crashes were also frequent, with 269 incidents representing 37.0% of all crashes. Multi-vehicle incidents involving three or more vehicles were less common, with 45 three-vehicle crashes recorded.

Vehicles Per Crash

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-10-01 to 2020-10-31 · 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: 2020-10-01 through 2020-10-31
  • Report generated: September 9, 2026

Data Coverage

  • Reporting period: 2020-10-01 through 2020-10-31 (31 days)
  • Geographic scope: montgomery, MD
  • Total crash records analyzed: 727
  • Total persons involved: 1,289
  • Total vehicles involved: 1,233

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: October 2020." Published September 9, 2026. Reporting period: 2020-10-01 to 2020-10-31. 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/october-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

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Montgomery County, MD Crash Report — October 2020 | ThatCarHitMe.com