ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MONTGOMERY, MD · JUNE 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/june-2021-report
Monthly Traffic Safety Analysis
784 CRASHES IN
MONTGOMERY, MD
JUNE 2021
In June 2021, Montgomery County recorded 784 total crashes, a 36.1% increase from the 576 crashes reported in June 2020. While the total number of collisions and injuries rose, the number of fatalities decreased from three in the prior year to one in the current period. The most notable year-over-year shift was the significant increase in the total volume of crashes, which outpaced the growth in injuries and saw a reduction in fatalities.
784
▲ 36.1%was 576
Total Crash Events
1
▼ -66.7%was 3
Persons Killed
281
▲ 23.2%was 228
Persons Injured
164
▲ 33.3%was 123
Hit-and-Run Crashes
Note: "Persons Killed" (1) 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. 2 crashes with unreported severity are not shown in the severity breakdown.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-06-01 to 2021-06-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for Montgomery County shows a rising trend in June 2021 compared to the same month in 2020. The total number of crashes increased by 36.1%, from 576 to 784. Similarly, the number of people injured in these incidents rose by 23.2% from 228 to 281, while total fatalities decreased from three to one.
164
Hit-and-Run Crashes — June 2021
▲ 33.3% vs prior (123)
The number of hit-and-run crashes increased significantly, rising 33.3% from 123 incidents in June 2020 to 164 in June 2021. However, the hit-and-run rate, measured as a percentage of total crashes, remained relatively stable. It slightly decreased from 21.4% in the prior period to 20.9% in the current period, indicating that the growth in hit-and-runs was proportional to the overall increase in crashes.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
0
Other Killed
19
Pedestrians Injured
13
Cyclists Injured
243
Motorists Injured
6
Other Injured
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-06-01 to 2021-06-30 · 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 June 2020 and June 2021. The peak day for crashes moved from Friday (101 incidents) in the prior year to Wednesday (129 incidents) in the current period. The peak hour also shifted an hour earlier, from 5 p.m. (59 crashes) in 2020 to 4 p.m. (78 crashes) in 2021. Crashes increased on every day of the week year-over-year, with Wednesdays seeing the largest increase.
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-06-01 to 2021-06-30 · Crash date field aggregated by weekday
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-06-01 to 2021-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes rose, the average severity of collisions decreased from June 2020 to June 2021. The number of fatal crashes fell from three to one, and the fatal crash rate per 100 crashes dropped from 0.52 to 0.13. The proportion of crashes resulting in any level of injury (from serious to possible) also declined, from 33.9% of all crashes in the prior period to 29.1% in the current period. Consequently, crashes with no reported injuries increased as a share of the total, from 65.6% to 70.5%.
Outcome by Severity (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-06-01 to 2021-06-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-06-01 to 2021-06-30 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors remained consistent year-over-year, though their counts increased. The top factor in both periods, 'RAIN, SNOW, WET', was cited in 36 crashes in June 2021, a 9.1% increase from 33 crashes in June 2020. The second-ranked factor, 'N/A, WET', saw its count increase by 22.7% from 22 to 27 incidents. Crashes citing 'N/A, ROAD UNDER CONSTRUCTION/MAINTENANCE' as a factor decreased from 6 to 3.
Officer-Reported Primary Contributing Cause
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-06-01 to 2021-06-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The distribution of crashes across environmental conditions remained largely unchanged between June 2020 and June 2021. In both periods, approximately 75% of crashes occurred in clear weather and about 75% happened during daylight hours. Similarly, crashes on dry road surfaces accounted for a consistent majority, representing 71.5% of incidents in the prior year and 72.8% in the current year. The proportional share of crashes in adverse conditions did not see a significant year-over-year shift.
Weather
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-06-01 to 2021-06-30 · Weather condition at time of crash
Lighting
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-06-01 to 2021-06-30 · Lighting condition field
Road Surface
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-06-01 to 2021-06-30 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained consistent, with Toyota, Honda, and Ford accounting for the highest numbers in both periods. In June 2021, Toyota was the most common make with 171 vehicles, followed by Ford with 150 and Honda with 147. This represents a shift in ranking from June 2020, when the order was Toyota (131), Honda (114), and Ford (90). The count of vehicles from all three top makes involved in collisions increased year-over-year.
Top Vehicle Makes (1,367 vehicles)
Source: Montgomery County Crash Reporting (ACRS) · Socrata Open Data · 2021-06-01 to 2021-06-30 · 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: 2021-06-01 through 2021-06-30
- Report generated: September 9, 2026
Data Coverage
- Reporting period: 2021-06-01 through 2021-06-30 (30 days)
- Geographic scope: montgomery, MD
- Total crash records analyzed: 784
- Total persons involved: 1,408
- Total vehicles involved: 1,367
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: June 2021." Published September 9, 2026. Reporting period: 2021-06-01 to 2021-06-30. 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/june-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: 2021-06-01 – 2021-06-30
Generated: September 9, 2026 · All rights reserved