ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MONTGOMERY, MD · DECEMBER 2022
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/december-2022-report
Monthly Traffic Safety Analysis
968 CRASHES IN
MONTGOMERY, MD
DECEMBER 2022
In December 2022, Montgomery County recorded 968 total crashes, a 7.0% increase from the 905 crashes reported in December 2021. Fatalities increased from 2 to 3 year-over-year. The most notable shift was a substantial rise in crashes where adverse weather was a contributing factor; incidents citing 'RAIN, SNOW, WET' increased from 24 to 93.
968
▲ 7.0%was 905
Total Crash Events
3
▲ 50.0%was 2
Persons Killed
291
▲ 6.2%was 274
Persons Injured
186
▼ -3.1%was 192
Hit-and-Run Crashes
Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 4 crashes with unreported severity are not shown in the severity breakdown.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-12-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year, traffic crashes in Montgomery County increased in December 2022. Total collisions rose by 7.0%, from 905 in December 2021 to 968 in December 2022. This upward trend was also reflected in crash outcomes, with total injuries increasing by 6.2% from 274 to 291, and fatalities rising from 2 to 3.
186
Hit-and-Run Crashes — December 2022
▼ -3.1% vs prior (192)
The number and rate of hit-and-run crashes decreased in December 2022 compared to the previous year. The total count of hit-and-run incidents fell from 192 to 186. This corresponds to a drop in the hit-and-run rate, which declined from 21.2% of all crashes in December 2021 to 19.2% in December 2022.
Vulnerable Road User Casualties
2
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
0
Other Killed
38
Pedestrians Injured
4
Cyclists Injured
248
Motorists Injured
1
Other Injured
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-12-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed some shifts between December 2021 and December 2022. The peak day for crashes moved from Wednesday (167 crashes) in 2021 to Friday (201 crashes) in 2022. However, the peak hour for collisions remained consistent, with the 5 PM hour having the highest frequency in both periods, recording 89 crashes in 2021 and 85 in 2022.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-12-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-12-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity outcomes shifted year-over-year, with the number of fatal crashes increasing from 2 to 3 and the corresponding fatal crash rate rising from 0.22% to 0.31%. While the most severe outcomes worsened, the overall proportion of crashes involving any level of injury (serious, minor, or possible) saw a slight decrease from 25.9% in December 2021 to 24.0% in December 2022. Consequently, the share of crashes with no reported injuries increased from 73.4% to 75.3%.
Outcome by Severity (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-12-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-12-01 to 2022-12-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors saw a significant shift in December 2022 compared to the prior year. The count of crashes attributed to 'RAIN, SNOW, WET' increased by 287.5%, rising from 24 incidents to 93, making it the top factor in 2022. Conversely, the factor 'N/A, WET', which was the leading cause in 2021 with 61 crashes, remained at the exact same count in 2022 but fell to the second-ranked position.
Officer-Reported Primary Contributing Cause
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-12-01 to 2022-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Adverse conditions played a more prominent role in crashes in December 2022 compared to the same month a year prior. The number of crashes on wet road surfaces increased from 109 to 202, and collisions during rain grew from 62 to 157. While the number of crashes in daylight was stable (444 vs. 436), collisions in dark conditions (both lighted and unlighted) increased from a combined 372 in 2021 to 446 in 2022.
Weather
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-12-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-12-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-12-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The makes of vehicles involved in crashes remained consistent year-over-year, with Toyota, Honda, and Ford being the top three most common makes in both December 2021 and December 2022 with similar counts. Regarding vehicle types, there was an increase in the number of Passenger Cars (from 1,095 to 1,183) and (Sport) Utility Vehicles (from 143 to 189) involved in collisions. Conversely, the involvement of Pickup Trucks decreased from 75 to 56.
Top Vehicle Makes (1,731 vehicles)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-12-01 to 2022-12-31 · Vehicle unit 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: 2022-12-01 through 2022-12-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2022-12-01 through 2022-12-31 (31 days)
- Geographic scope: montgomery, MD
- Total crash records analyzed: 968
- Total persons involved: 1,780
- Total vehicles involved: 1,731
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 2022." Published September 9, 2026. Reporting period: 2022-12-01 to 2022-12-31. 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-2022-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: 2022-12-01 – 2022-12-31
Generated: September 9, 2026 · All rights reserved