ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MONTAGUE, MA · APRIL 2024
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/massachusetts/montague/april-2024-report
Monthly Traffic Safety Analysis
7 CRASHES IN
MONTAGUE, MA
APRIL 2024
Total crashes in Montague decreased by 22.2% year-over-year, from 9 crashes in April 2023 to 7 crashes in April 2024. Notably, April 2024 recorded zero fatalities and zero injuries, a decrease from one injury reported in April 2023. This period also saw a 100% reduction in DUI-related crashes, dropping from one in the prior year to none in the current period.
7
▼ -22.2%was 9
Total Crash Events
0
Persons Killed
0
▼ -100.0%was 1
Persons Injured
1
Hit-and-Run Crashes
Note: "Persons Killed" (0) counts individual fatalities across all crash events. "Fatal" in the severity table below (0) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 7 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, the trend for crashes in Montague is declining year-over-year, with a 22.2% reduction in total crashes from 9 in April 2023 to 7 in April 2024. This decrease also includes a significant drop in injuries, from one in April 2023 to zero in April 2024. The number of fatal crashes remained at zero for both periods.
1
Hit-and-Run Crashes — April 2024
▼ 0.0% vs prior (1)
The number of hit-and-run crashes remained constant at 1 for both April 2023 and April 2024. However, due to a decrease in overall crashes, the hit-and-run crash rate increased from 11.1% in April 2023 to 14.3% in April 2024. This represents an increase of 3.2 percentage points in the proportion of crashes involving a hit-and-run.
When Crashes Happen
The temporal distribution of crashes shifted year-over-year, with the peak day moving from Sunday (3 crashes) in April 2023 to Thursday (4 crashes) in April 2024. The peak hour for crashes also changed, with April 2024 experiencing its highest frequency at 12 p.m. (2 crashes), while April 2023's peak was at 4 p.m. (2 crashes). Overall, crashes in April 2024 were more concentrated on weekdays, particularly Thursday, compared to the prior year which saw more crashes on Sunday.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Crash time field aggregated by hour (0-23)
Top Contributing Factors
The leading contributing factor for crashes shifted from 'Failure to keep in proper lane or running off road' (3 crashes) in April 2023 to 'No improper driving' (3 crashes) in April 2024. 'No improper driving' increased by one crash count year-over-year, from 2 to 3, while 'Inattention' decreased from 2 crashes to 1 crash. 'Failure to keep in proper lane or running off road' and 'Failed to yield right of way', which accounted for 3 and 1 crashes respectively in the prior period, were not among the top factors in the current period.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Weather conditions showed some changes, with 'Clear' conditions remaining constant at 4 crashes in both periods, but 'Rain' conditions decreasing from 2 crashes in April 2023 to 1 crash in April 2024. Crashes under 'Snow/Sleet' conditions increased from zero to 2, while 'Cloudy' conditions, which accounted for 3 crashes in April 2023, were not a factor in April 2024. Similarly, 'Dry' road surface crashes decreased from 6 to 4, and 'Wet' road surface crashes decreased from 3 to 1, while 'Snow' road surface crashes increased from zero to 2. Data for lighting conditions was not available for April 2024.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Weather condition at time of crash
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Road surface condition field
Vehicles & Demographics
Top Vehicle Makes (12 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Vehicle unit records
1 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (12 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Person-level records linked to crash events
Speed Limit Zones
Crashes at 50 mph speed zones decreased by 2, from 3 crashes in April 2023 to 1 crash in April 2024, and crashes at 25 mph zones decreased by 1, from 2 to 1. Conversely, crashes at 45 mph speed zones increased by 1, from zero to 1 crash. The number of crashes in 20, 30, 35, and 40 mph zones remained consistent year-over-year, each recording 1 crash in both periods. There were no fatal crashes reported in any speed zone for either period.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Posted speed limit at crash location
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Massachusetts Crash Data (MassDOT CDV), accessed programmatically via the Arcgis_yearly 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: Arcgis_yearly Open Data API (SoQL queries)
- Data format: Structured JSON via REST API
- Record types queried: Crash events, person records, and vehicle unit records
- Date filter applied: 2024-04-01 through 2024-04-30
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-04-01 through 2024-04-30 (30 days)
- Geographic scope: MONTAGUE, MA
- Total crash records analyzed: 7
- Total persons involved: 13
- Total vehicles involved: 12
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). "MONTAGUE, MA Crash Intelligence Report: April 2024." Published June 21, 2026. Reporting period: 2024-04-01 to 2024-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/montague/april-2024-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: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2024-04-01 – 2024-04-30
Generated: June 21, 2026 · All rights reserved