Yearly Traffic Safety Analysis

8,070 CRASHES IN
MONTGOMERY, MD
2020

In 2020, Montgomery County recorded 8,070 total traffic crashes, which resulted in 39 fatalities and 2,854 injuries. A notable finding from the data is that nearly one in five incidents, 1,590 crashes or 19.7%, were classified as hit-and-runs.

8,070

Total Crash Events

39

Persons Killed

2,854

Persons Injured

19.7%

Hit-and-Run Rate

Note: "Persons Killed" (39) counts individual fatalities across all crash events. "Fatal" in the severity table below (40) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 37 crashes with unreported severity are not shown in the severity breakdown.

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

1,590

Hit-and-Run Crashes — 2020

A total of 1,590 crashes in 2020 were classified as hit-and-runs, accounting for 19.7% of all reported incidents. This classification is based on the initial determination made by the responding officer at the scene of the crash.

Vulnerable Road User Casualties

Of the 39 total fatalities, 22 were motorists, 14 were pedestrians, and 1 was a cyclist. Among non-fatal injuries, motorists accounted for the largest group with 2,402 injuries. Vulnerable road users also sustained a significant number of injuries, with 294 pedestrians and 128 cyclists injured in crashes.

14

Pedestrians Killed

1

Cyclists Killed

22

Motorists Killed

2

Other Killed

294

Pedestrians Injured

128

Cyclists Injured

2,402

Motorists Injured

30

Other Injured

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

When Crashes Happen

Crash frequencies peaked on Fridays, which saw 1,356 incidents over the year. The single most common hour for crashes was the 5 p.m. hour, with 618 events. Overall, more crashes occurred during daylight hours (4,924) than during all other lighting conditions combined, including dark, dusk, and dawn (2,915).

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

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

Crash Severity Breakdown

The majority of crashes, 5,577 incidents or 69.1%, resulted in no injuries. Crashes involving injuries totaled 2,456, including 1,322 with possible injuries, 941 with minor injuries, and 154 with serious injuries. There were 40 distinct fatal crashes recorded, which resulted in a total of 39 fatalities.

Severity is per crash event (most severe injury). 40 fatal crash events resulted in 39 persons killed.

Outcome by Severity (Crash Events)

Fatal39fatal crashes0.5%
Serious Injury154serious injury crashes1.9%
Minor Injury941minor injury crashes11.7%
Possible Injury1,322possible injury crashes16.4%
No Injury5,577no injury crashes69.1%

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

Severity Distribution (Crash Events)

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

Top Contributing Factors

Environmental conditions were the most cited contributing factors in crashes where a cause was determined. Factors related to weather and road surface, such as "RAIN, SNOW, WET," were noted in 622 crashes (7.7%), and wet road surfaces ("N/A, WET") were a factor in another 445 crashes (5.5%). Encounters with animals were a factor in 68 crashes.

Officer-Reported Primary Contributing Cause

RAIN, SNOW, WET622 (7.7%)
N/A, WET445 (5.5%)
ANIMAL, N/A68 (0.8%)
N/A, RAIN, SNOW53 (0.7%)
N/A, VISION OBSTRUCTION (INCL. BLINDED BY SUN)42 (0.5%)
SLEET, HAIL, FREEZ. RAIN, WET40 (0.5%)
ICY OR SNOW-COVERED, RAIN, SNOW32 (0.4%)
ICY OR SNOW-COVERED, N/A27 (0.3%)
N/A, ROAD UNDER CONSTRUCTION/MAINTENANCE27 (0.3%)
BACKUP DUE TO REGULAR CONGESTION, N/A17 (0.2%)

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

Road & Environmental Conditions

While adverse conditions are a factor in some crashes, the majority of incidents occurred in ideal conditions. Crashes in clear weather accounted for 5,318 incidents, while 5,327 occurred on dry road surfaces and 4,924 happened during daylight. In contrast, 1,094 crashes occurred during rain, and 1,428 crashes were on wet road surfaces.

Weather

Clear5,318 (72.4%)
Rain1,094 (14.9%)
Cloudy800 (10.9%)
Fog, Smog, Smoke47 (0.6%)
Snow42 (0.6%)
Wintry Mix15 (0.2%)
Other11 (0.1%)
Sleet Or Hail10 (0.1%)
Severe Crosswinds7 (0.1%)
Blowing Snow4 (0.1%)

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

Lighting

Daylight4,924 (61.9%)
Dark - Lighted2,223 (27.9%)
Dark - Not Lighted352 (4.4%)
Dusk183 (2.3%)
Dawn157 (2.0%)
Dark - Unknown Lighting106 (1.3%)
Other16 (0.2%)

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

Road Surface

Dry5,327 (77.7%)
Wet1,428 (20.8%)
Ice/Frost40 (0.6%)
Snow33 (0.5%)
Slush9 (0.1%)
Other6 (0.1%)
Oil4 (0.1%)
Water (standing, moving)3 (0.0%)
Mud, Dirt, Gravel3 (0.0%)

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

Vehicles & Demographics

The data on vehicles involved in crashes shows that passenger cars were the most common type, accounting for 9,738 of the 13,809 vehicles. The most frequently involved vehicle makes were Toyota (2,005 vehicles), Honda (1,632 vehicles), and Ford (1,427 vehicles). Driver age demographics were not available in the provided data.

Top Vehicle Makes (13,809 vehicles)

1
TOYOTA2,005 (14.5%)
2
HONDA1,632 (11.8%)
3
FORD1,427 (10.3%)
4
NISSAN779 (5.6%)
5
TOYT586 (4.2%)
6
DODGE429 (3.1%)
7
HOND350 (2.5%)
8
CHEVROLET328 (2.4%)
9
HYUNDAI322 (2.3%)
10
JEEP318 (2.3%)

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-01-01 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 the vast majority of cases. Drivers were assigned fault in 7,456 incidents, compared to 129 incidents where a non-motorist was determined to be at fault.

Intersection Type

Among crashes occurring at intersections with a defined geometry, four-way intersections were the most common location. A total of 2,492 crashes occurred at four-way intersections. T-intersections were the second most common site, with 1,155 crashes.

Junction Type

Crashes were most frequently located at intersections, which accounted for 2,720 incidents. An additional 865 crashes were classified as intersection-related. A significant number of crashes, 1,909, also occurred at non-intersection roadway segments.

Junction Type

"Other" combines 4 smaller categories (48 records): CROSSOVER RELATED (33), OTHER DRIVEWAY (9), RAILWAY GRADE CROSSING (3), ALLEY (3).

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

Roadway Division

The most common road configuration at crash locations was a two-way divided roadway with a positive median barrier, accounting for 3,301 incidents. The second most frequent type was a two-way, not divided roadway, which was the site of 2,518 crashes.

Roadway Division

1
TWO-WAY, DIVIDED, POSITIVE MEDIAN BARRIER3,301 (47.5%)
2
TWO-WAY, NOT DIVIDED2,518 (36.2%)
3
TWO-WAY, DIVIDED, UNPROTECTED PAINTED MIN 4 FEET835 (12%)
4
ONE-WAY TRAFFICWAY181 (2.6%)
5
OTHER90 (1.3%)
6
TWO-WAY, NOT DIVIDED WITH A CONTINUOUS LEFT TURN31 (0.4%)

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

Vehicle Damage Extent

The most frequently reported level of vehicle damage was "Disabling," which was noted for 5,294 vehicles involved in crashes. "Functional" and "Superficial" damage were also common, reported for 3,377 and 3,374 vehicles, respectively. A total of 721 vehicles were reported as "Destroyed."

Vehicle Damage Extent

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

Driver Action / Circumstance

The provided data on driver actions primarily lists environmental conditions rather than specific driving errors. The most common code recorded was "RAIN, SNOW, WET," appearing 1,051 times. The second most common, "N/A, WET," was recorded 789 times, indicating wet road conditions were a prevalent factor.

Driver Action / Circumstance

1
RAIN, SNOW, WET1,051 (40.4%)
2
N/A, WET789 (30.4%)
3
N/A, RAIN, SNOW93 (3.6%)
4
ANIMAL, N/A77 (3%)
5
N/A, VISION OBSTRUCTION (INCL. BLINDED BY SUN)77 (3%)
6
SLEET, HAIL, FREEZ. RAIN, WET64 (2.5%)
7
N/A, ROAD UNDER CONSTRUCTION/MAINTENANCE57 (2.2%)
8
ICY OR SNOW-COVERED, RAIN, SNOW56 (2.2%)
9
ICY OR SNOW-COVERED, N/A40 (1.5%)

Showing top 9 of 49 reported. 40 additional (295 total) not shown: BACKUP DUE TO REGULAR CONGESTION, N/A, V WIPERS|W OTHER ENVIRONMENTAL, WET, DEBRIS OR OBSTRUCTION, N/A, N/A, PHYSICAL OBSTRUCTION(S), N/A, RUTS, HOLES, BUMPS, N/A, V EXHAUST SYSTEM|R OTHER ROAD, ICY OR SNOW-COVERED, SLEET, HAIL, FREEZ. RAIN, N/A, SLEET, HAIL, FREEZ. RAIN, VISION OBSTRUCTION (INCL. BLINDED BY SUN), WET, ICY OR SNOW-COVERED, V WIPERS|W OTHER ENVIRONMENTAL, BACKUP DUE TO NON-RECURRING INCIDENT, N/A, ICY OR SNOW-COVERED, SLEET, HAIL, FREEZ. RAIN, WET, ANIMAL, WET, BACKUP DUE TO PRIOR CRASH, N/A, ANIMAL, RAIN, SNOW, WET, ICY OR SNOW-COVERED, RAIN, SNOW, WET, N/A, SEVERE CROSSWINDS, N/A, NON-HIGHWAY WORK, N/A, TRAFFIC CONTROL DEVICE INOPERATIVE, ICY OR SNOW-COVERED, N/A, WET, BACKUP DUE TO REGULAR CONGESTION, RAIN, SNOW, WET, BACKUP DUE TO PRIOR CRASH, BACKUP DUE TO REGULAR CONGESTION, N/A, DEBRIS OR OBSTRUCTION, N/A, PHYSICAL OBSTRUCTION(S), DEBRIS OR OBSTRUCTION, RAIN, SNOW, WET, ICY OR SNOW-COVERED, RAIN, SNOW, SLEET, HAIL, FREEZ. RAIN, N/A, SMOG, SMOKE, N/A, V WIPERS|W OTHER ENVIRONMENTAL, RAIN, SNOW, SLEET, HAIL, FREEZ. RAIN, WET, ICY OR SNOW-COVERED, RAIN, SNOW, SLEET, HAIL, FREEZ. RAIN, WET, N/A, V EXHAUST SYSTEM|R OTHER ROAD, WORN, TRAVEL-POLISHED SURFACE, BLOWING SAND, SOIL, DIRT, RAIN, SNOW, SEVERE CROSSWINDS, SLEET, HAIL, FREEZ. RAIN, WET, BACKUP DUE TO NON-RECURRING INCIDENT, ROAD UNDER CONSTRUCTION/MAINTENANCE, VISION OBSTRUCTION (INCL. BLINDED BY SUN), BACKUP DUE TO REGULAR CONGESTION, RAIN, SNOW, V EXHAUST SYSTEM|R OTHER ROAD, WET, BACKUP DUE TO NON-RECURRING INCIDENT, BACKUP DUE TO REGULAR CONGESTION, N/A, RAIN, SNOW, TRAFFIC CONTROL DEVICE INOPERATIVE, WET, ROAD UNDER CONSTRUCTION/MAINTENANCE, VISION OBSTRUCTION (INCL. BLINDED BY SUN), SLEET, HAIL, FREEZ. RAIN, VISION OBSTRUCTION (INCL. BLINDED BY SUN), WET, N/A, ROAD UNDER CONSTRUCTION/MAINTENANCE, RUTS, HOLES, BUMPS, DEBRIS OR OBSTRUCTION, V WIPERS|W OTHER ENVIRONMENTAL, WET, DEBRIS OR OBSTRUCTION, VISION OBSTRUCTION (INCL. BLINDED BY SUN).

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

Driver Distraction

Among crashes where driver distraction was a factor, "Looked but did not see" was the most common type reported, with 1,910 instances. This was followed by "Inattentive or lost in thought" with 412 instances and "Other distraction" with 310 instances.

Driver Distraction

1
NOT DISTRACTED8,216 (73.8%)
2
LOOKED BUT DID NOT SEE1,910 (17.2%)
3
INATTENTIVE OR LOST IN THOUGHT412 (3.7%)
4
OTHER DISTRACTION310 (2.8%)
5
DISTRACTED BY OUTSIDE PERSON OBJECT OR EVENT87 (0.8%)
6
OTHER CELLULAR PHONE RELATED40 (0.4%)
7
BY OTHER OCCUPANTS31 (0.3%)
8
OTHER ELECTRONIC DEVICE (NAVIGATIONAL PALM PILOT)29 (0.3%)
9
NO DRIVER PRESENT24 (0.2%)

Showing top 9 of 18 reported. 9 additional (78 total) not shown: TALKING OR LISTENING TO CELLULAR PHONE, BY MOVING OBJECT IN VEHICLE, EATING OR DRINKING, USING OTHER DEVICE CONTROLS INTEGRAL TO VEHICLE, ADJUSTING AUDIO AND OR CLIMATE CONTROLS, USING DEVICE OBJECT BROUGHT INTO VEHICLE, SMOKING RELATED, TEXTING FROM A CELLULAR PHONE, DIALING CELLULAR PHONE.

Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2020-01-01 to 2020-12-31 · 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 5,235 incidents, or 64.9% of all crashes. The next most common first harmful events were striking a fixed object (1,141 crashes) and striking a parked vehicle (760 crashes).

First Harmful Event

1
OTHER VEHICLE5,235 (65.5%)
2
FIXED OBJECT1,141 (14.3%)
3
PARKED VEHICLE760 (9.5%)
4
PEDESTRIAN332 (4.2%)
5
OFF ROAD120 (1.5%)
6
BICYCLE112 (1.4%)
7
ANIMAL106 (1.3%)
8
OTHER OBJECT82 (1%)
9
OTHER31 (0.4%)

Showing top 9 of 21 reported. 12 additional (77 total) not shown: BACKING, OTHER NON COLLISION, OVERTURN, OTHER PEDALCYCLE, OTHER CONVEYANCE, U-TURN, SPILLED CARGO, THROWN OR FALLING OBJECT, UNITS SEPARATED, FELL JUMPED FROM MOTOR VEHICLE, RAILWAY TRAIN, DOWNHILL RUNAWAY.

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

Non-Motorist Safety Equipment

For non-motorists involved in crashes, safety equipment usage was reported in a minority of cases. A helmet was reportedly used by 73 individuals, and reflective clothing was noted for 10 individuals.

Non-Motorist Safety Equipment

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

Point of Impact

The front of the vehicle ("Twelve Oclock") was the most common point of impact, recorded in 5,626 instances, representing 40.7% of all vehicle impacts. The rear of the vehicle ("Six Oclock") was the second most frequent impact point, with 2,527 instances.

Point of Impact

"Other" combines 8 smaller categories (1,589 records): SEVEN OCLOCK (306), FOUR OCLOCK (303), NINE OCLOCK (299), EIGHT OCLOCK (280), THREE OCLOCK (275), UNDERSIDE (62), NON-COLLISION (35), ROOF TOP (29).

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

Pre-Crash Driver Action

The most common action of vehicles immediately prior to a crash was "Moving constant speed," which was reported for 5,905 vehicles. Other frequent pre-crash actions included "Slowing or stopping" (1,662 vehicles) and being "Stopped in traffic lane" (1,299 vehicles).

Pre-Crash Driver Action

1
MOVING CONSTANT SPEED5,905 (43.5%)
2
SLOWING OR STOPPING1,662 (12.2%)
3
STOPPED IN TRAFFIC LANE1,299 (9.6%)
4
MAKING LEFT TURN1,297 (9.6%)
5
ACCELERATING838 (6.2%)
6
BACKING514 (3.8%)
7
MAKING RIGHT TURN432 (3.2%)
8
STARTING FROM LANE344 (2.5%)
9
CHANGING LANES313 (2.3%)

Showing top 9 of 21 reported. 12 additional (971 total) not shown: PARKED, STARTING FROM PARKED, PARKING, MAKING U TURN, ENTERING TRAFFIC LANE, PASSING, OTHER, NEGOTIATING A CURVE, SKIDDING, RIGHT TURN ON RED, LEAVING TRAFFIC LANE, DRIVERLESS MOVING VEH..

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

Pedestrian/Cyclist Action

For incidents involving pedestrians, the most common reported action was "No improper actions," with 279 instances. Among improper actions cited, "In roadway improperly" was the most frequent with 43 cases, followed by "Dart dash" (31 cases) and "Failure to yield right of way" (28 cases).

Pedestrian/Cyclist Action

1
NO IMPROPER ACTIONS279 (60.8%)
2
IN ROADWAY IMPROPERLY43 (9.4%)
3
DART DASH31 (6.8%)
4
FAILURE TO YIELD RIGHT OF WAY28 (6.1%)
5
INATTENTIVE22 (4.8%)
6
FAILURE TO OBEY TRAFFIC SIGNS SIGNALS OR OFFICER14 (3.1%)
7
OTHER13 (2.8%)
8
NOT VISIBLE11 (2.4%)
9
ENTERING EXITING PARKED STANDING VEHICLE8 (1.7%)

Showing top 9 of 13 reported. 4 additional (10 total) not shown: IMPROPER PASSING, WRONG WAY RIDING OR WALKING, DISABLED VEHICLE RELATED, IMPROPER TURN MERGE.

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

Manner of Collision

The most common type of crash was a rear-end collision between vehicles traveling in the same direction, accounting for 1,936 incidents or 24.0% of all crashes. Single-vehicle crashes were the second most frequent type, with 1,552 incidents (19.2%), followed by straight movement angle collisions with 1,338 incidents (16.6%).

Manner of Collision

"Other" combines 10 smaller categories (673 records): SAME DIRECTION LEFT TURN (160), SAME DIRECTION RIGHT TURN (155), OPPOSITE DIRECTION SIDESWIPE (128), ANGLE MEETS LEFT TURN (73), ANGLE MEETS RIGHT TURN (42), ANGLE MEETS LEFT HEAD ON (36), SAME DIR REND RIGHT TURN (24), SAME DIR BOTH LEFT TURN (23), SAME DIR REND LEFT TURN (17), OPPOSITE DIR BOTH LEFT TURN (15).

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

Traffic Control Device

A plurality of crashes, 3,479 incidents or 43.1%, occurred at locations with no traffic controls present. Locations with a traffic signal were the site of 2,414 crashes, and those with a stop sign saw 527 crashes.

Traffic Control Device

"Other" combines 2 smaller categories (14 records): PERSON (11), RAILWAY CROSSING DEVICE (3).

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

Vehicle Type

Passenger cars were the predominant vehicle type involved in crashes, accounting for 9,738 of the 13,809 vehicles recorded, or 70.5% of the total. Sport utility vehicles were the second most common type, with 1,194 involved.

Vehicle Type

"Other" combines 21 smaller categories (889 records): OTHER LIGHT TRUCKS (10,000LBS (4,536KG) OR LESS) (147), MEDIUM/HEAVY TRUCKS 3 AXLES (OVER 10,000LBS (4,536 (115), POLICE VEHICLE/EMERGENCY (112), SCHOOL BUS (95), MOTORCYCLE (85), OTHER (82), AMBULANCE/EMERGENCY (52), STATION WAGON (45), TRUCK TRACTOR (32), FIRE VEHICLE/EMERGENCY (32), OTHER BUS (25), AMBULANCE/NON EMERGENCY (22), FIRE VEHICLE/NON EMERGENCY (19), MOPED (7), RECREATIONAL VEHICLE (6), CROSS COUNTRY BUS (4), AUTOCYCLE (3), ALL TERRAIN VEHICLE (ATV) (2), SNOWMOBILE (2), LIMOUSINE (1), LOW SPEED VEHICLE (1).

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

Person Injury Severity

Analysis of injury severity for drivers shows that out of 13,809 drivers involved in crashes, 22 sustained fatal injuries (K) and 123 sustained suspected serious injuries (A). The vast majority of drivers, 11,385, had no apparent injury.

Person Injury Severity

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

Vehicles Per Crash

Two-vehicle collisions were the most common type, with 4,598 crashes. Single-vehicle crashes accounted for 2,887 incidents, representing 35.8% of the total. The data also includes one multi-vehicle pile-up involving 10 vehicles.

Vehicles Per Crash

"Other" combines 1 smaller categories (1 records): 10 (1).

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

Data Coverage

  • Reporting period: 2020-01-01 through 2020-12-31 (366 days)
  • Geographic scope: montgomery, MD
  • Total crash records analyzed: 8,070
  • Total persons involved: 14,336
  • Total vehicles involved: 13,809

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: 2020." Published September 9, 2026. Reporting period: 2020-01-01 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/2020-annual-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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