Monthly Traffic Safety Analysis

924 CRASHES IN
MONTGOMERY, MD
FEBRUARY 2020

In February 2020, Montgomery County recorded 924 traffic crashes, resulting in 5 fatalities and 319 injuries. The most common type of collision was a rear-end crash, which accounted for 28.2% of all incidents. The majority of crashes, 69.3%, resulted in no reported injuries.

924

Total Crash Events

5

Persons Killed

319

Persons Injured

16.8%

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 · 2020-02-01 to 2020-02-29 · Aggregate counts from crash, person, and vehicle records

155

Hit-and-Run Crashes — February 2020

Based on initial officer determinations, 155 crashes, representing 16.8% of the total for the period, were classified as hit-and-run incidents. This classification indicates that a driver involved in the collision left the scene.

Vulnerable Road User Casualties

During this period, 5 individuals were killed and 319 were injured in traffic crashes. Motorists comprised the largest group of injured persons, with 269 injuries and 2 fatalities. Among vulnerable road users, 3 pedestrians were killed and 42 were injured, while no cyclists were killed and 7 were injured.

3

Pedestrians Killed

0

Cyclists Killed

2

Motorists Killed

0

Other Killed

42

Pedestrians Injured

7

Cyclists Injured

269

Motorists Injured

1

Other Injured

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Crashes occurred most frequently on Fridays, with 148 incidents recorded that day. The single busiest hour for crashes was the 6 p.m. hour, which saw 82 collisions. Overall, crash frequency peaked during evening commute hours, with a significant concentration of incidents between 3 p.m. and 7 p.m.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Crash date field aggregated by weekday

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Of the 924 total crashes, 69.3% (640 incidents) were property-damage-only, resulting in no injuries. The remaining crashes involved possible injuries (158), minor injuries (103), or serious injuries (16). There were 5 fatal crashes during this period, which resulted in a total of 5 fatalities.

Outcome by Severity (Crash Events)

Fatal5fatal crashes0.5%
Serious Injury16serious injury crashes1.7%
Minor Injury103minor injury crashes11.1%
Possible Injury158possible injury crashes17.1%
No Injury640no injury crashes69.3%

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Most severe injury per crash record

Top Contributing Factors

Weather and road surface conditions were the most cited contributing factors in the dataset. 'RAIN, SNOW, WET' was listed in 120 crashes (13.0% of all crashes), followed by 'N/A, WET' in 67 crashes (7.3%). Other less frequent factors included road construction and icy conditions.

Officer-Reported Primary Contributing Cause

RAIN, SNOW, WET120 (13%)
N/A, WET67 (7.3%)
N/A, RAIN, SNOW11 (1.2%)
N/A, ROAD UNDER CONSTRUCTION/MAINTENANCE4 (0.4%)
N/A, SLEET, HAIL, FREEZ. RAIN3 (0.3%)
ICY OR SNOW-COVERED, N/A2 (0.2%)
BACKUP DUE TO PRIOR CRASH, N/A2 (0.2%)
N/A, RUTS, HOLES, BUMPS2 (0.2%)
N/A, VISION OBSTRUCTION (INCL. BLINDED BY SUN)2 (0.2%)
V WIPERS|W OTHER ENVIRONMENTAL, WET1 (0.1%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The majority of crashes occurred in favorable conditions, with 55.6% happening in clear weather and 57.4% on dry road surfaces. Daylight conditions were present for 53.7% of all incidents. Adverse conditions were also a factor, with 23.6% of crashes occurring during rain and 26.1% taking place on wet roads.

Weather

Clear514 (61.6%)
Rain218 (26.1%)
Cloudy98 (11.7%)
Fog, Smog, Smoke3 (0.4%)
Sleet Or Hail1 (0.1%)
Severe Crosswinds1 (0.1%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Weather condition at time of crash

Lighting

Daylight496 (54.4%)
Dark - Lighted320 (35.1%)
Dark - Not Lighted42 (4.6%)
Dawn21 (2.3%)
Dark - Unknown Lighting15 (1.6%)
Dusk15 (1.6%)
Other3 (0.3%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Lighting condition field

Road Surface

Dry530 (68.2%)
Wet241 (31.0%)
Ice/Frost4 (0.5%)
Mud, Dirt, Gravel1 (0.1%)
Water (standing, moving)1 (0.1%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (1,644 vehicles)

1
TOYOTA256 (15.6%)
2
FORD173 (10.5%)
3
HONDA168 (10.2%)
4
NISSAN104 (6.3%)
5
TOYT81 (4.9%)
6
HYUNDAI44 (2.7%)
7
JEEP44 (2.7%)
8
CHEVROLET42 (2.6%)
9
HOND41 (2.5%)
10
DODGE36 (2.2%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Vehicle unit records

At-Fault Party

In crashes where fault was assigned, a driver was determined to be at fault in 859 cases. This represents 97.9% of at-fault determinations in the dataset. A nonmotorist was found at fault in the remaining 18 cases.

Intersection Type

Among crashes occurring at intersections with a defined geometry, four-way intersections were the most common location, accounting for 284 incidents. This represents 63.4% of crashes at specified intersection types. T-intersections were the next most frequent, with 124 crashes.

Junction Type

Crashes were most likely to occur at or near intersections, with 307 incidents happening within an intersection and another 97 classified as intersection-related. Crashes on non-intersection roadway segments accounted for 218 incidents.

Junction Type

"Other" combines 4 smaller categories (4 records): OTHER DRIVEWAY (1), RAILWAY GRADE CROSSING (1), RESIDENTIAL DRIVEWAY (1), ALLEY (1).

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Crash-level records

Roadway Division

Crashes most frequently occurred on roadways described as 'Two-way, divided, positive median barrier,' accounting for 381 incidents. The second most common road type was 'Two-way, not divided,' which was the site of 280 crashes.

Roadway Division

1
TWO-WAY, DIVIDED, POSITIVE MEDIAN BARRIER381 (48.4%)
2
TWO-WAY, NOT DIVIDED280 (35.6%)
3
TWO-WAY, DIVIDED, UNPROTECTED PAINTED MIN 4 FEET101 (12.8%)
4
ONE-WAY TRAFFICWAY14 (1.8%)
5
OTHER9 (1.1%)
6
TWO-WAY, NOT DIVIDED WITH A CONTINUOUS LEFT TURN2 (0.3%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Crash-level records

Vehicle Damage Extent

Disabling damage was the most frequently reported vehicle condition, noted in 611 instances, or 38.7% of vehicles with damage assessed. Superficial damage was reported for 444 vehicles and functional damage for 403 vehicles. A total of 73 vehicles were reported as destroyed.

Vehicle Damage Extent

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Vehicle unit records

Driver Distraction

Among drivers for whom distraction information was recorded, 234 were noted as having 'looked but did not see'. An additional 59 drivers were reported as 'inattentive or lost in thought'. Specific distractions were less common, with 27 instances of 'other distraction' and 8 cases of distraction by an outside person, object, or event.

Driver Distraction

1
NOT DISTRACTED986 (74.2%)
2
LOOKED BUT DID NOT SEE234 (17.6%)
3
INATTENTIVE OR LOST IN THOUGHT59 (4.4%)
4
OTHER DISTRACTION27 (2%)
5
DISTRACTED BY OUTSIDE PERSON OBJECT OR EVENT8 (0.6%)
6
OTHER ELECTRONIC DEVICE (NAVIGATIONAL PALM PILOT)4 (0.3%)
7
BY MOVING OBJECT IN VEHICLE3 (0.2%)
8
OTHER CELLULAR PHONE RELATED3 (0.2%)
9
NO DRIVER PRESENT2 (0.2%)

Showing top 9 of 12 reported. 3 additional (3 total) not shown: BY OTHER OCCUPANTS, TALKING OR LISTENING TO CELLULAR PHONE, TEXTING FROM A CELLULAR PHONE.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · 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 624 crashes, representing 67.5% of all incidents. The next most frequent events were striking a fixed object (104 crashes) and striking a parked vehicle (101 crashes).

First Harmful Event

1
OTHER VEHICLE624 (68.1%)
2
FIXED OBJECT104 (11.4%)
3
PARKED VEHICLE101 (11%)
4
PEDESTRIAN45 (4.9%)
5
OFF ROAD13 (1.4%)
6
OTHER OBJECT7 (0.8%)
7
BICYCLE7 (0.8%)
8
ANIMAL5 (0.5%)
9
U-TURN3 (0.3%)

Showing top 9 of 13 reported. 4 additional (7 total) not shown: BACKING, OTHER, OVERTURN, OTHER NON COLLISION.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Crash-level records

Point of Impact

Frontal impacts, recorded as 'Twelve Oclock', were the most common point of impact, reported for 656 vehicles (39.9% of all vehicles in collisions). Rear impacts, or 'Six Oclock', were the second most common, involving 347 vehicles (21.1%).

Point of Impact

"Other" combines 8 smaller categories (173 records): FIVE OCLOCK (39), EIGHT OCLOCK (35), SEVEN OCLOCK (32), FOUR OCLOCK (31), THREE OCLOCK (24), UNDERSIDE (8), ROOF TOP (3), NON-COLLISION (1).

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Vehicle unit records

Pre-Crash Driver Action

The most common pre-crash action for drivers was 'moving constant speed,' reported for 642 vehicles (39.1% of all vehicles). Other frequent actions included 'slowing or stopping' (244 vehicles) and being 'stopped in traffic lane' (193 vehicles).

Pre-Crash Driver Action

1
MOVING CONSTANT SPEED642 (39.8%)
2
SLOWING OR STOPPING244 (15.1%)
3
STOPPED IN TRAFFIC LANE193 (12%)
4
MAKING LEFT TURN161 (10%)
5
ACCELERATING79 (4.9%)
6
BACKING66 (4.1%)
7
CHANGING LANES47 (2.9%)
8
MAKING RIGHT TURN41 (2.5%)
9
STARTING FROM LANE34 (2.1%)

Showing top 9 of 20 reported. 11 additional (107 total) not shown: STARTING FROM PARKED, PARKED, PARKING, MAKING U TURN, ENTERING TRAFFIC LANE, SKIDDING, PASSING, NEGOTIATING A CURVE, OTHER, RIGHT TURN ON RED, LEAVING TRAFFIC LANE.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Vehicle unit records

Pedestrian/Cyclist Action

For the 51 pedestrians involved in crashes, the most common reported action was 'No improper actions,' which was cited 36 times. Where improper actions were noted, they included 'in roadway improperly' (5 instances), 'failure to yield right of way' (3 instances), and 'inattentive' (2 instances).

Pedestrian/Cyclist Action

1
NO IMPROPER ACTIONS36 (65.5%)
2
IN ROADWAY IMPROPERLY5 (9.1%)
3
FAILURE TO YIELD RIGHT OF WAY3 (5.5%)
4
INATTENTIVE2 (3.6%)
5
DART DASH2 (3.6%)
6
NOT VISIBLE2 (3.6%)
7
OTHER2 (3.6%)
8
FAILURE TO OBEY TRAFFIC SIGNS SIGNALS OR OFFICER1 (1.8%)
9
IMPROPER PASSING1 (1.8%)

Showing top 9 of 10 reported. 1 additional (1 total) not shown: DISABLED VEHICLE RELATED.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Non-motorist records linked to crash events

Manner of Collision

Rear-end collisions involving vehicles traveling in the same direction were the most frequent crash type, accounting for 261 incidents or 28.2% of all crashes. Single-vehicle crashes were the second most common type, with 152 incidents, representing 16.5% of the total.

Manner of Collision

"Other" combines 9 smaller categories (74 records): SAME DIRECTION LEFT TURN (18), HEAD ON (15), OPPOSITE DIRECTION SIDESWIPE (13), ANGLE MEETS LEFT TURN (7), ANGLE MEETS LEFT HEAD ON (6), SAME DIR BOTH LEFT TURN (5), OPPOSITE DIR BOTH LEFT TURN (5), ANGLE MEETS RIGHT TURN (3), SAME DIR REND LEFT TURN (2).

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Crash-level records

Traffic Control Device

The largest share of crashes, 383 incidents (41.5%), occurred at locations with no traffic controls present. Locations with a traffic signal were the site of 274 crashes (29.7%), while 56 crashes occurred at intersections controlled by a stop sign.

Traffic Control Device

"Other" combines 2 smaller categories (2 records): RAILWAY CROSSING DEVICE (1), PERSON (1).

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Crash-level records

Vehicle Type

Passenger cars were the most common vehicle type involved in crashes, accounting for 1,153 of the 1,644 vehicles (70.1%). Sport Utility Vehicles were the next most frequent with 147 vehicles. Commercial vehicles such as school buses (36) and transit buses (35) were also involved in crashes.

Vehicle Type

"Other" combines 16 smaller categories (97 records): MEDIUM/HEAVY TRUCKS 3 AXLES (OVER 10,000LBS (4,536 (17), OTHER LIGHT TRUCKS (10,000LBS (4,536KG) OR LESS) (16), CARGO VAN/LIGHT TRUCK 2 AXLES (OVER 10,000LBS (4,5 (15), POLICE VEHICLE/EMERGENCY (12), AMBULANCE/NON EMERGENCY (8), OTHER (6), STATION WAGON (4), OTHER BUS (4), AMBULANCE/EMERGENCY (3), FIRE VEHICLE/EMERGENCY (3), RECREATIONAL VEHICLE (2), MOPED (2), SNOWMOBILE (2), CROSS COUNTRY BUS (1), MOTORCYCLE (1), TRUCK TRACTOR (1).

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Vehicle unit records

Person Injury Severity

Out of 1,706 people involved in crashes, 5 suffered fatal injuries (0.3%) and 16 sustained serious injuries (0.9%). The majority of individuals, 1,382 people or 81.0%, were not injured. An additional 193 people had possible injuries and 110 had minor injuries.

Person Injury Severity

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · Crash-level records

Vehicles Per Crash

The majority of incidents, 538 crashes (58.2%), involved two vehicles. Single-vehicle crashes accounted for 302 incidents (32.7%). Multi-vehicle crashes were less common, with 61 crashes involving three vehicles and 12 crashes involving four vehicles.

Vehicles Per Crash

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-02-01 to 2020-02-29 · 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: 2020-02-01 through 2020-02-29
  • Report generated: September 9, 2026

Data Coverage

  • Reporting period: 2020-02-01 through 2020-02-29 (29 days)
  • Geographic scope: montgomery, MD
  • Total crash records analyzed: 924
  • Total persons involved: 1,706
  • Total vehicles involved: 1,644

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: February 2020." Published September 9, 2026. Reporting period: 2020-02-01 to 2020-02-29. 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/february-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