ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MONTGOMERY, MD · APRIL 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/april-2022-report
Monthly Traffic Safety Analysis
810 CRASHES IN
MONTGOMERY, MD
APRIL 2022
In Montgomery County, total traffic crashes increased by 13.0% from 717 in April 2021 to 810 in April 2022. This rise in collisions represents the most significant year-over-year shift in the data, accompanied by a 21.6% increase in total injuries, while total fatalities decreased from 5 to 4.
810
▲ 13.0%was 717
Total Crash Events
4
▼ -20.0%was 5
Persons Killed
270
▲ 21.6%was 222
Persons Injured
160
▲ 9.6%was 146
Hit-and-Run Crashes
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 6 crashes with unreported severity are not shown in the severity breakdown.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-04-01 to 2022-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend for April 2022 shows a notable increase in traffic incidents compared to the same month in the prior year. Total crashes rose from 717 to 810, and the number of people injured increased from 222 to 270. In contrast, the number of fatalities recorded saw a slight decrease from 5 to 4.
160
Hit-and-Run Crashes — April 2022
▲ 9.6% vs prior (146)
The total number of hit-and-run crashes increased by 9.6%, rising from 146 in April 2021 to 160 in April 2022. Despite this increase in the absolute count, the hit-and-run rate as a percentage of all crashes saw a slight decrease. Hit-and-runs comprised 19.8% of all crashes in the current period, down from 20.4% in the prior year.
Vulnerable Road User Casualties
2
Pedestrians Killed
0
Cyclists Killed
2
Motorists Killed
0
Other Killed
28
Pedestrians Injured
7
Cyclists Injured
232
Motorists Injured
3
Other Injured
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-04-01 to 2022-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
While Friday remained the peak day for crashes in both April 2021 (139 crashes) and April 2022 (163 crashes), the daily distribution of incidents shifted. Crashes on Tuesdays and Saturdays increased notably, while Thursdays saw a significant drop. The peak hour for collisions shifted two hours earlier, moving from 5 p.m. in the prior period (65 crashes) to 3 p.m. in the current period (66 crashes).
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-04-01 to 2022-04-30 · Crash date field aggregated by weekday
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-04-01 to 2022-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes showed a mixed trend year-over-year. The fatal crash rate decreased, with fatal incidents accounting for 0.49% of all crashes in April 2022, down from 0.7% in April 2021. However, the proportion of crashes resulting in any level of injury (serious, minor, or possible) increased slightly from 27.1% to 28.1% of all incidents.
Outcome by Severity (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-04-01 to 2022-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-04-01 to 2022-04-30 · Most severe injury per crash record
Top Contributing Factors
The top contributing factors cited in crash reports were consistent across both periods, with conditions related to wet weather ranking highest. The count of crashes where "RAIN, SNOW, WET" was a factor increased by 66.7%, from 33 to 55 incidents. Similarly, crashes with the factor "N/A, WET" grew in count by 65.2%, from 23 to 38.
Officer-Reported Primary Contributing Cause
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-04-01 to 2022-04-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Adverse weather and road conditions were more prevalent in crashes during the current period compared to the prior year. The share of crashes occurring in the rain rose from 8.4% (60 crashes) to 13.7% (111 crashes). Correspondingly, the proportion of collisions on wet road surfaces increased from 11.3% (81 crashes) to 14.6% (118 crashes).
Weather
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-04-01 to 2022-04-30 · Weather condition at time of crash
Lighting
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-04-01 to 2022-04-30 · Lighting condition field
Road Surface
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-04-01 to 2022-04-30 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in collisions remained consistent year-over-year, with Toyota, Honda, and Ford representing the most common vehicles in crash reports for both periods. The number of vehicles from these top makes involved in crashes increased in April 2022, in line with the overall 13.0% increase in total crashes.
Top Vehicle Makes (1,413 vehicles)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-04-01 to 2022-04-30 · 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: 2022-04-01 through 2022-04-30
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2022-04-01 through 2022-04-30 (30 days)
- Geographic scope: montgomery, MD
- Total crash records analyzed: 810
- Total persons involved: 1,460
- Total vehicles involved: 1,413
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: April 2022." Published September 9, 2026. Reporting period: 2022-04-01 to 2022-04-30. 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/april-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: 2022-04-01 – 2022-04-30
Generated: September 9, 2026 · All rights reserved