Monthly Traffic Safety Analysis

714 CRASHES IN
MONTGOMERY, MD
DECEMBER 2020

In December 2020, Montgomery County recorded 714 traffic crashes, which resulted in 1 fatality and 225 injuries. The majority of incidents, 73% of the total, resulted in no physical injuries. A single crash accounted for the month's fatality.

714

Total Crash Events

1

Persons Killed

225

Persons Injured

22.7%

Hit-and-Run Rate

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

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Aggregate counts from crash, person, and vehicle records

162

Hit-and-Run Crashes — December 2020

Based on initial officer reports, 162 crashes in December 2020 were classified as hit-and-run incidents. This represents 22.7% of all crashes during the period. This classification is determined at the scene by the responding officer.

Vulnerable Road User Casualties

In December 2020, one pedestrian was killed in a crash. Additionally, 25 pedestrians and 4 cyclists sustained injuries. While no motorists were killed, 193 were injured in crashes during this period.

1

Pedestrians Killed

0

Cyclists Killed

0

Motorists Killed

0

Other Killed

25

Pedestrians Injured

4

Cyclists Injured

193

Motorists Injured

3

Other Injured

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crash occurrences in Montgomery County peaked mid-week, with Wednesday recording the highest number of incidents (126). The most frequent time for crashes was the 5 p.m. hour, which saw 58 collisions. Overall, crashes were most common during afternoon and evening hours, with a significant drop after 10 p.m.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Crash date field aggregated by weekday

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The vast majority of crashes, 73% (521 incidents), resulted in no injuries. Injury-involved crashes, including possible, minor, and serious injuries, accounted for approximately 27% of the total. One crash during this period was fatal, resulting in one death.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.1%
Serious Injury6serious injury crashes0.8%
Minor Injury82minor injury crashes11.5%
Possible Injury102possible injury crashes14.3%
No Injury521no injury crashes73%

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factors cited in crash reports were overwhelmingly environmental. The most frequent factor was 'N/A, WET' with 59 incidents (8.3%), followed by 'RAIN, SNOW, WET' at 34 incidents (4.8%). 'ICY OR SNOW-COVERED, RAIN, SNOW' was the third most common factor, cited in 21 crashes (2.9%).

Officer-Reported Primary Contributing Cause

N/A, WET59 (8.3%)
RAIN, SNOW, WET34 (4.8%)
ICY OR SNOW-COVERED, RAIN, SNOW21 (2.9%)
ICY OR SNOW-COVERED, N/A18 (2.5%)
N/A, RAIN, SNOW7 (1%)
ANIMAL, N/A7 (1%)
ICY OR SNOW-COVERED, SLEET, HAIL, FREEZ. RAIN5 (0.7%)
V WIPERS|W OTHER ENVIRONMENTAL, WET5 (0.7%)
SLEET, HAIL, FREEZ. RAIN, WET4 (0.6%)
N/A, VISION OBSTRUCTION (INCL. BLINDED BY SUN)3 (0.4%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

While a majority of crashes occurred in clear weather (63.7%) and on dry roads (58.5%), a notable number of incidents happened in adverse conditions. Rain was reported in 68 crashes and snow in 23. Crashes were split between daylight hours, which saw 359 incidents (50.3%), and various dark or low-light conditions.

Weather

Clear455 (70.9%)
Cloudy70 (10.9%)
Rain68 (10.6%)
Snow23 (3.6%)
Fog, Smog, Smoke11 (1.7%)
Wintry Mix9 (1.4%)
Other3 (0.5%)
Blowing Snow2 (0.3%)
Sleet Or Hail1 (0.2%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Weather condition at time of crash

Lighting

Daylight359 (51.1%)
Dark - Lighted257 (36.6%)
Dark - Not Lighted42 (6.0%)
Dusk19 (2.7%)
Dawn14 (2.0%)
Dark - Unknown Lighting11 (1.6%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Lighting condition field

Road Surface

Dry418 (68.8%)
Wet141 (23.2%)
Snow23 (3.8%)
Ice/Frost19 (3.1%)
Slush7 (1.2%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Road surface condition field

Vehicles & Demographics

Among the 1,248 vehicles involved in crashes, passenger cars were the most common type. The most frequently involved vehicle makes were Toyota (172), Honda (162), and Ford (132). The data on driver age distribution was not available.

Top Vehicle Makes (1,248 vehicles)

1
TOYOTA172 (13.8%)
2
HONDA162 (13%)
3
FORD132 (10.6%)
4
NISSAN78 (6.3%)
5
TOYT52 (4.2%)
6
CHEVROLET34 (2.7%)
7
DODGE34 (2.7%)
8
HOND28 (2.2%)
9
CHEVY28 (2.2%)
10
HYUNDAI27 (2.2%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Vehicle unit records

At-Fault Party

In crashes where fault was assigned, the driver was determined to be at fault in 676 cases. This represents nearly 99% of the 685 incidents with a specified at-fault party. A non-motorist was found at fault in 7 incidents.

Intersection Type

Among crashes occurring at specified intersection types, four-way intersections were the most common location, accounting for 229 incidents. T-intersections were the second most frequent site, with 125 crashes. Together, these two intersection types represented over 90% of crashes with a defined geometry.

Junction Type

Crashes were more likely to occur at or near a junction. A total of 265 crashes happened within an intersection, with another 83 classified as intersection-related. Crashes at non-intersection locations accounted for 155 incidents.

Junction Type

"Other" combines 2 smaller categories (4 records): INTERCHANGE RELATED (3), RAILWAY GRADE CROSSING (1).

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Crash-level records

Roadway Division

The most common road configuration at crash sites was a two-way, divided road with a positive median barrier, accounting for 311 incidents. Two-way, undivided roads were the location for 213 crashes. Roads with an unprotected painted median were a distant third, with 75 crashes.

Roadway Division

1
TWO-WAY, DIVIDED, POSITIVE MEDIAN BARRIER311 (49.4%)
2
TWO-WAY, NOT DIVIDED213 (33.9%)
3
TWO-WAY, DIVIDED, UNPROTECTED PAINTED MIN 4 FEET75 (11.9%)
4
ONE-WAY TRAFFICWAY15 (2.4%)
5
OTHER8 (1.3%)
6
TWO-WAY, NOT DIVIDED WITH A CONTINUOUS LEFT TURN7 (1.1%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Crash-level records

Vehicle Damage Extent

The most frequently reported level of vehicle damage was 'Disabling,' which was noted for 494 vehicles. 'Functional' damage was reported for 345 vehicles, and 'Superficial' damage for 267. Forty-nine vehicles were reported as 'Destroyed'.

Vehicle Damage Extent

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Vehicle unit records

Driver Action / Circumstance

The data field for driver action primarily contains notes on environmental conditions rather than specific driver maneuvers. The most common entry was 'N/A, WET', recorded for 104 drivers. This was followed by 'RAIN, SNOW, WET' for 61 drivers and 'ICY OR SNOW-COVERED, RAIN, SNOW' for 37 drivers.

Driver Action / Circumstance

1
N/A, WET104 (31.6%)
2
RAIN, SNOW, WET61 (18.5%)
3
ICY OR SNOW-COVERED, RAIN, SNOW37 (11.2%)
4
ICY OR SNOW-COVERED, N/A27 (8.2%)
5
N/A, RAIN, SNOW12 (3.6%)
6
V WIPERS|W OTHER ENVIRONMENTAL, WET11 (3.3%)
7
ANIMAL, N/A8 (2.4%)
8
SLEET, HAIL, FREEZ. RAIN, WET8 (2.4%)
9
ICY OR SNOW-COVERED, SLEET, HAIL, FREEZ. RAIN7 (2.1%)

Showing top 9 of 30 reported. 21 additional (54 total) not shown: ICY OR SNOW-COVERED, RAIN, SNOW, WET, N/A, VISION OBSTRUCTION (INCL. BLINDED BY SUN), BACKUP DUE TO REGULAR CONGESTION, N/A, ICY OR SNOW-COVERED, N/A, WET, ICY OR SNOW-COVERED, V WIPERS|W OTHER ENVIRONMENTAL, ICY OR SNOW-COVERED, RAIN, SNOW, SLEET, HAIL, FREEZ. RAIN, VISION OBSTRUCTION (INCL. BLINDED BY SUN), WET, N/A, ROAD UNDER CONSTRUCTION/MAINTENANCE, N/A, SLEET, HAIL, FREEZ. RAIN, ICY OR SNOW-COVERED, SLEET, HAIL, FREEZ. RAIN, WET, N/A, NON-HIGHWAY WORK, N/A, RUTS, HOLES, BUMPS, N/A, V EXHAUST SYSTEM|R OTHER ROAD, ROAD UNDER CONSTRUCTION/MAINTENANCE, VISION OBSTRUCTION (INCL. BLINDED BY SUN), SLEET, HAIL, FREEZ. RAIN, VISION OBSTRUCTION (INCL. BLINDED BY SUN), WET, BACKUP DUE TO NON-RECURRING INCIDENT, N/A, ICY OR SNOW-COVERED, RAIN, SNOW, SLEET, HAIL, FREEZ. RAIN, WET, ICY OR SNOW-COVERED, V WIPERS|W OTHER ENVIRONMENTAL, WET, DEBRIS OR OBSTRUCTION, N/A, RAIN, SNOW, VISION OBSTRUCTION (INCL. BLINDED BY SUN), WET, N/A, PHYSICAL OBSTRUCTION(S).

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Person-level records linked to crash events

Driver Distraction

Among drivers reported as distracted, the most common issue cited was 'Looked But Did Not See,' which was recorded for 162 drivers. General inattentiveness or being lost in thought was the second most common distraction, noted for 27 drivers. 'Other Distraction' was cited for 23 drivers.

Driver Distraction

1
NOT DISTRACTED739 (75.3%)
2
LOOKED BUT DID NOT SEE162 (16.5%)
3
INATTENTIVE OR LOST IN THOUGHT27 (2.7%)
4
OTHER DISTRACTION23 (2.3%)
5
DISTRACTED BY OUTSIDE PERSON OBJECT OR EVENT10 (1%)
6
BY OTHER OCCUPANTS6 (0.6%)
7
BY MOVING OBJECT IN VEHICLE4 (0.4%)
8
NO DRIVER PRESENT3 (0.3%)
9
OTHER ELECTRONIC DEVICE (NAVIGATIONAL PALM PILOT)3 (0.3%)

Showing top 9 of 12 reported. 3 additional (5 total) not shown: TALKING OR LISTENING TO CELLULAR PHONE, OTHER CELLULAR PHONE RELATED, EATING OR DRINKING.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Person-level records linked to crash events

First Harmful Event

The most common first harmful event was a collision with another motor vehicle, which occurred in 487 crashes, representing 68.2% of all incidents. The next most frequent events were striking a fixed object (91 crashes) and hitting a parked vehicle (71 crashes). A collision with a pedestrian was the first harmful event in 24 incidents.

First Harmful Event

1
OTHER VEHICLE487 (68.6%)
2
FIXED OBJECT91 (12.8%)
3
PARKED VEHICLE71 (10%)
4
PEDESTRIAN24 (3.4%)
5
OFF ROAD14 (2%)
6
ANIMAL7 (1%)
7
OTHER OBJECT4 (0.6%)
8
OTHER PEDALCYCLE3 (0.4%)
9
OTHER NON COLLISION3 (0.4%)

Showing top 9 of 13 reported. 4 additional (6 total) not shown: OVERTURN, BICYCLE, OTHER, RAILWAY TRAIN.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Crash-level records

Point of Impact

For vehicles involved in crashes, the most common point of impact was the front ('Twelve Oclock'), which was reported for 494 vehicles. The second most frequent impact point was the rear ('Six Oclock'), reported for 228 vehicles. These two areas accounted for the majority of initial impacts.

Point of Impact

"Other" combines 8 smaller categories (128 records): FOUR OCLOCK (26), NINE OCLOCK (24), FIVE OCLOCK (24), THREE OCLOCK (24), EIGHT OCLOCK (16), ROOF TOP (6), UNDERSIDE (5), NON-COLLISION (3).

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Vehicle unit records

Pre-Crash Driver Action

The most common action drivers were taking immediately before a crash was moving at a constant speed, which was the case for 522 vehicles. Slowing or stopping was the pre-crash action for 145 drivers, and making a left turn was reported for 122 drivers. These three actions account for over 60% of all reported pre-crash movements.

Pre-Crash Driver Action

1
MOVING CONSTANT SPEED522 (42.5%)
2
SLOWING OR STOPPING145 (11.8%)
3
MAKING LEFT TURN122 (9.9%)
4
STOPPED IN TRAFFIC LANE116 (9.5%)
5
ACCELERATING73 (5.9%)
6
MAKING RIGHT TURN53 (4.3%)
7
BACKING41 (3.3%)
8
STARTING FROM LANE33 (2.7%)
9
CHANGING LANES31 (2.5%)

Showing top 9 of 20 reported. 11 additional (91 total) not shown: PARKED, PARKING, MAKING U TURN, STARTING FROM PARKED, SKIDDING, ENTERING TRAFFIC LANE, OTHER, PASSING, NEGOTIATING A CURVE, RIGHT TURN ON RED, LEAVING TRAFFIC LANE.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Vehicle unit records

Pedestrian/Cyclist Action

For the 27 pedestrians involved in crashes, the most common reported action was 'No Improper Actions,' cited in 18 cases. Other reported actions included 'Dart Dash' and 'In Roadway Improperly,' each noted in 3 instances. 'Inattentive' and 'Not Visible' were each cited twice.

Pedestrian/Cyclist Action

1
NO IMPROPER ACTIONS18 (56.3%)
2
DART DASH3 (9.4%)
3
IN ROADWAY IMPROPERLY3 (9.4%)
4
INATTENTIVE2 (6.3%)
5
NOT VISIBLE2 (6.3%)
6
IMPROPER PASSING1 (3.1%)
7
ENTERING EXITING PARKED STANDING VEHICLE1 (3.1%)
8
FAILURE TO OBEY TRAFFIC SIGNS SIGNALS OR OFFICER1 (3.1%)
9
OTHER1 (3.1%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Non-motorist records linked to crash events

Manner of Collision

The most frequent type of crash was a same-direction rear-end collision, accounting for 180 incidents or 25.2% of the total. Straight movement angle crashes and single-vehicle incidents were tied for the second most common manner of collision, each with 118 occurrences (16.5%).

Manner of Collision

"Other" combines 8 smaller categories (73 records): SAME DIRECTION LEFT TURN (17), HEAD ON (17), OPPOSITE DIRECTION SIDESWIPE (15), ANGLE MEETS RIGHT TURN (9), ANGLE MEETS LEFT TURN (7), ANGLE MEETS LEFT HEAD ON (4), SAME DIR REND LEFT TURN (3), OPPOSITE DIR BOTH LEFT TURN (1).

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Crash-level records

Traffic Control Device

The largest share of crashes, 294 incidents (41.2%), occurred at locations with no traffic controls present. Crashes at intersections with a traffic signal were the next most common, with 231 incidents. An additional 60 crashes occurred where a stop sign was the traffic control device.

Traffic Control Device

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Crash-level records

Vehicle Type

Passenger cars were the most prevalent vehicle type involved in crashes, accounting for 873 of the 1,248 vehicles (70%). Sport utility vehicles were the second most common type with 108 involved, followed by pickup trucks with 53. Commercial vehicles like transit buses (30) and various trucks were also involved in a number of incidents.

Vehicle Type

"Other" combines 15 smaller categories (79 records): OTHER LIGHT TRUCKS (10,000LBS (4,536KG) OR LESS) (14), MEDIUM/HEAVY TRUCKS 3 AXLES (OVER 10,000LBS (4,536 (14), OTHER (10), POLICE VEHICLE/EMERGENCY (7), STATION WAGON (6), AMBULANCE/EMERGENCY (6), FIRE VEHICLE/EMERGENCY (5), OTHER BUS (4), TRUCK TRACTOR (4), MOPED (2), RECREATIONAL VEHICLE (2), AMBULANCE/NON EMERGENCY (2), LIMOUSINE (1), MOTORCYCLE (1), FIRE VEHICLE/NON EMERGENCY (1).

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Vehicle unit records

Person Injury Severity

Of the 1,282 people involved in crashes, one person sustained a fatal injury and 8 sustained serious injuries. Combined, these killed or seriously injured individuals represent 0.7% of all people involved. The majority of individuals, 1,056 people (82.4%), were not injured.

Person Injury Severity

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · Crash-level records

Vehicles Per Crash

The majority of crashes involved two vehicles, with 431 such incidents reported, representing 60.4% of all crashes. Single-vehicle crashes were the next most common, with 230 occurrences (32.2%). Crashes involving three or more vehicles were less frequent, with 44 three-vehicle incidents and 6 four-vehicle incidents.

Vehicles Per Crash

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-12-01 to 2020-12-31 · 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: 2020-12-01 through 2020-12-31
  • Report generated: September 9, 2026

Data Coverage

  • Reporting period: 2020-12-01 through 2020-12-31 (31 days)
  • Geographic scope: montgomery, MD
  • Total crash records analyzed: 714
  • Total persons involved: 1,282
  • Total vehicles involved: 1,248

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: December 2020." Published September 9, 2026. Reporting period: 2020-12-01 to 2020-12-31. 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/december-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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