ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MONTGOMERY, MD · OCTOBER 2021
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/october-2021-report
Monthly Traffic Safety Analysis
981 CRASHES IN
MONTGOMERY, MD
OCTOBER 2021
In October 2021, Montgomery County recorded 981 total crashes, a 34.9% increase from the 727 crashes reported in October 2020. Despite the significant rise in total collisions, the number of fatalities fell from five in the prior period to zero in the current period. Total injuries increased from 280 to 350, a 25% rise year-over-year.
981
▲ 34.9%was 727
Total Crash Events
0
▼ -100.0%was 5
Persons Killed
350
▲ 25.0%was 280
Persons Injured
195
▲ 42.3%was 137
Hit-and-Run Crashes
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2021-10-01 to 2021-10-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year, total crashes in Montgomery County rose by 34.9%, from 727 in October 2020 to 981 in October 2021. This trend included a 25% increase in total injuries, from 280 to 350. However, fatalities decreased from five to zero during the same period.
195
Hit-and-Run Crashes — October 2021
▲ 42.3% vs prior (137)
Hit-and-run incidents increased in both absolute numbers and as a proportion of total crashes year-over-year. The count of hit-and-run crashes rose from 137 in October 2020 to 195 in October 2021. This represents an increase in the hit-and-run rate from 18.8% to 19.9% of all reported collisions.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
0
Motorists Killed
0
Other Killed
34
Pedestrians Injured
13
Cyclists Injured
297
Motorists Injured
6
Other Injured
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-10-01 to 2021-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between October 2020 and October 2021. The peak day for crashes moved from Saturday (133 crashes) in the prior year to Friday (200 crashes) in the current year. The peak hour also shifted slightly, moving from the 5 p.m. hour (58 crashes) in 2020 to the 4 p.m. hour (78 crashes) in 2021.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-10-01 to 2021-10-31 · Crash date field aggregated by weekday
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-10-01 to 2021-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes increased significantly, the number of fatalities dropped to zero in October 2021 from five in October 2020. The count of serious injury crashes increased from 11 to 19, representing a rise in their share of all crashes from 1.5% to 1.9%. Conversely, the share of crashes involving minor or possible injuries decreased, with minor injuries falling from 12.0% to 10.9% and possible injuries from 20.2% to 16.7% of total incidents.
Severity is per crash event (most severe injury). 1 fatal crash events resulted in 0 persons killed.
Outcome by Severity (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-10-01 to 2021-10-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-10-01 to 2021-10-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factor in both periods was 'RAIN, SNOW, WET', though its count decreased by 27.3% from 66 crashes in October 2020 to 48 in October 2021. The second-ranked factor, 'N/A, WET', also saw a decrease in count from 40 to 31. Meanwhile, crashes attributed to 'ANIMAL, N/A' increased from 7 to 9, making it the third most cited factor in the current period.
Officer-Reported Primary Contributing Cause
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-10-01 to 2021-10-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
A larger proportion of crashes occurred in clear weather and on dry roads in October 2021 compared to the previous year. Crashes in clear weather rose from 66.2% to 70.6% of the total, while crashes on dry surfaces increased from 66.3% to 73.1% of the total. Correspondingly, the share of crashes during rain dropped from 16.4% to 9.2%, and incidents on wet roads decreased from 19.4% to 10.9% of all crashes.
Weather
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-10-01 to 2021-10-31 · Weather condition at time of crash
Lighting
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-10-01 to 2021-10-31 · Lighting condition field
Road Surface
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-10-01 to 2021-10-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained Toyota, Honda, and Ford in both October 2020 and October 2021. After consolidating variations in make names, Toyota-involved vehicles increased from 231 to 326, and Honda-involved vehicles rose from 154 to 271. While Ford and Honda were tied for second place in the prior year, Honda surpassed Ford in the current period to become the second most frequently involved make.
Top Vehicle Makes (1,718 vehicles)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-10-01 to 2021-10-31 · 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: 2021-10-01 through 2021-10-31
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2021-10-01 through 2021-10-31 (31 days)
- Geographic scope: montgomery, MD
- Total crash records analyzed: 981
- Total persons involved: 1,781
- Total vehicles involved: 1,718
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: October 2021." Published September 9, 2026. Reporting period: 2021-10-01 to 2021-10-31. 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/october-2021-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: 2021-10-01 – 2021-10-31
Generated: September 9, 2026 · All rights reserved