ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · RAYNHAM, MA · 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/raynham/2024-annual-report
Yearly Traffic Safety Analysis
623 CRASHES IN
RAYNHAM, MA
2024
In 2024, Raynham recorded 623 total traffic crashes, an 11% increase from the 562 crashes documented in 2023. This rise in overall incidents was accompanied by a notable increase in crashes involving speeding, which grew by 76% year-over-year, from 21 incidents in 2023 to 37 in 2024. The total number of injuries also increased from 196 to 221, while fatalities rose from one to two.
623
▲ 10.9%was 562
Total Crash Events
2
▲ 100.0%was 1
Persons Killed
221
▲ 12.8%was 196
Persons Injured
24
▼ -29.4%was 34
Hit-and-Run Crashes
Note: "Persons Killed" (2) 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. 5 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for Raynham indicates a rising trend in traffic incidents year-over-year. Total crashes increased by 11%, from 562 in 2023 to 623 in 2024. This upward trend is also reflected in crash outcomes, with total injuries rising by nearly 13% to 221 and fatalities increasing from one person in 2023 to two in 2024.
24
Hit-and-Run Crashes — 2024
▼ -29.4% vs prior (34)
In a notable downward trend, hit-and-run incidents in Raynham decreased significantly year-over-year. The number of hit-and-run crashes fell by 29%, from 34 in 2023 to 24 in 2024. This decrease is also reflected in the hit-and-run rate, which dropped from 6.0% of all crashes in the prior year to 3.9% in the current year.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
2
Motorists Killed
5
Pedestrians Injured
3
Cyclists Injured
213
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes in Raynham showed both consistency and change. The peak hour for collisions remained the 4 p.m. hour in both 2023 and 2024, with incidents in that hour increasing from 55 to 60. The peak day of the week shifted from Saturday (94 crashes) in the prior year to Friday (106 crashes) in the current year, which represents a 15% increase in crashes on Fridays compared to the prior year's count of 92.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The overall severity distribution of crashes remained relatively stable year-over-year. The number of fatal crashes was unchanged at one incident in both 2023 and 2024, though the number of persons killed rose from one to two. The proportion of crashes resulting in any type of injury (Serious, Minor, or Possible) held steady at approximately 25% for both periods, while crashes with no injuries accounted for about 74% of all incidents in both years.
Severity is per crash event (most severe injury). 1 fatal crash events resulted in 2 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Top Contributing Factors
Inattention remained the leading contributing factor for crashes in both periods, with the count of such incidents rising by 22% from 129 in 2023 to 157 in 2024. The top four factors were consistent across both years, though their order shifted; 'Failed to yield right of way' moved from the third to the second-ranked factor, with a 10% increase in count from 90 to 99. The most significant percentage change among the top factors was seen in 'Followed too closely,' which saw its incident count jump by 31% from 65 to 85.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The majority of crashes in both 2023 and 2024 occurred in clear weather and during daylight hours on dry roads, with the proportion of incidents under these conditions remaining largely unchanged. However, there was a noticeable increase in crashes on wet road surfaces, with the count rising from 79 incidents in 2023 to 101 in 2024. This corresponds with a slight increase in the proportion of crashes occurring in rainy conditions, which grew from 6.6% to 8.0% of all crashes.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The makes of vehicles most frequently involved in crashes remained consistent, with Toyota, Honda, and Ford holding the top three spots in both 2023 and 2024. The number of Toyotas involved in crashes increased by 25%, from 167 to 208. Among persons involved in crashes, the 26-34 age group was the largest demographic in both years, accounting for 17.6% of individuals in each period. The number of individuals aged 65 and older involved in crashes also saw an increase, rising from 130 in 2023 to 154 in 2024.
Top Vehicle Makes (1,203 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
69 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,470 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across different speed zones showed a general increase in volume consistent with the overall rise in incidents. The largest absolute increase occurred in 40 mph zones, where crashes rose from 117 to 140. Crashes in 65 mph zones also saw a slight increase from 168 to 173 incidents. The single fatal crash in 2024 occurred in a 30 mph zone, whereas the fatal crash in 2023 took place in a 45 mph zone.
Fatal crashes by zone: 30 mph: 1 of 98 (1.02%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: RAYNHAM, MA
- Total crash records analyzed: 623
- Total persons involved: 1,549
- Total vehicles involved: 1,203
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). "RAYNHAM, MA Crash Intelligence Report: 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/raynham/2024-annual-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: 2024-01-01 – 2024-12-31
Generated: June 21, 2026 · All rights reserved