ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MONTGOMERY, MD · AUGUST 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/august-2022-report
Monthly Traffic Safety Analysis
779 CRASHES IN
MONTGOMERY, MD
AUGUST 2022
In August 2022, Montgomery County recorded 779 total traffic crashes, a slight decrease from the 787 crashes reported in August 2021, representing a 1.0% year-over-year decline. While the overall crash volume remained stable, the number of fatalities resulting from these crashes doubled, increasing from 2 in the prior period to 4 in the current period.
779
▼ -1.0%was 787
Total Crash Events
4
▲ 100.0%was 2
Persons Killed
297
▼ -0.3%was 298
Persons Injured
158
▼ -0.6%was 159
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. 2 crashes with unreported severity are not shown in the severity breakdown.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-08-01 to 2022-08-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year crash data for August indicates a stable trend in Montgomery County. Total crashes decreased by a marginal 1.0%, from 787 in August 2021 to 779 in August 2022. Similarly, the total number of injuries remained nearly unchanged, with 297 injuries reported compared to 298 in the prior year.
158
Hit-and-Run Crashes — August 2022
▼ -0.6% vs prior (159)
The incidence of hit-and-run crashes remained remarkably stable year-over-year. In August 2022, there were 158 hit-and-run incidents, compared to 159 in August 2021. The hit-and-run rate, representing the percentage of total crashes that were hit-and-runs, held steady at approximately 20%, shifting minimally from 20.2% to 20.3%.
Vulnerable Road User Casualties
0
Pedestrians Killed
1
Cyclists Killed
3
Motorists Killed
0
Other Killed
36
Pedestrians Injured
12
Cyclists Injured
245
Motorists Injured
4
Other Injured
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-08-01 to 2022-08-31 · 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 August 2021 and August 2022. The peak day for collisions moved from Monday (149 crashes) in the prior year to Tuesday (140 crashes) in the current year. However, the peak hour for crashes remained consistent, occurring during the 5 p.m. hour in both periods, with crash counts of 64 and 69 respectively.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-08-01 to 2022-08-31 · Crash date field aggregated by weekday
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-08-01 to 2022-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While overall crash numbers were stable, the severity of outcomes worsened year-over-year. The number of fatal crashes increased from 3 in August 2021 to 4 in August 2022, and the total number of fatalities doubled from 2 to 4. The count of serious injury crashes decreased from 20 to 16, and minor injury crashes fell from 111 to 96. Conversely, crashes involving possible injuries rose from 123 to 141.
Outcome by Severity (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-08-01 to 2022-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-08-01 to 2022-08-31 · Most severe injury per crash record
Top Contributing Factors
The primary contributing factors cited in crash reports were related to wet road conditions in both periods, though their frequency decreased. In August 2022, the top factor was 'RAIN, SNOW, WET' with a count of 32 crashes, down from 37 in the prior year. The factor 'N/A, WET' saw a more significant drop, falling from a count of 44 crashes in August 2021 to 18 in August 2022. These two factors, which were the top two in both periods, switched their ranking year-over-year.
Officer-Reported Primary Contributing Cause
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-08-01 to 2022-08-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions improved in August 2022 compared to the same month in 2021. The proportion of crashes occurring on wet road surfaces decreased from 14.2% (112 crashes) to 9.2% (72 crashes). Similarly, crashes during rainy weather dropped from a share of 11.3% of the total to 6.8%. Crashes in daylight conditions increased as a share of the total, rising from 69.2% in the prior period to 73.3% in the current period.
Weather
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-08-01 to 2022-08-31 · Weather condition at time of crash
Lighting
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-08-01 to 2022-08-31 · Lighting condition field
Road Surface
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-08-01 to 2022-08-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained consistent year-over-year, with Toyota, Honda, and Ford leading in both August 2021 and August 2022. The number of crashes involving these top makes increased: Toyota from 190 to 210, Honda from 164 to 173, and Ford from 130 to 145. Jeep's involvement in crashes notably increased, moving into the top five with 51 incidents in August 2022 compared to 25 in the prior year.
Top Vehicle Makes (1,362 vehicles)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2022-08-01 to 2022-08-31 · 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: 2022-08-01 through 2022-08-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2022-08-01 through 2022-08-31 (31 days)
- Geographic scope: montgomery, MD
- Total crash records analyzed: 779
- Total persons involved: 1,422
- Total vehicles involved: 1,362
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: August 2022." Published September 9, 2026. Reporting period: 2022-08-01 to 2022-08-31. 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/august-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: 2022-08-01 – 2022-08-31
Generated: September 9, 2026 · All rights reserved