Yearly Traffic Safety Analysis

623 CRASHES IN
RAYNHAM, MA
2024

All metrics benchmarked against2023

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

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

2

Motorists Killed

Prior: 1100.0%

5

Pedestrians Injured

Prior: 2150.0%

3

Cyclists Injured

Prior: 250.0%

213

Motorists Injured

Prior: 19210.9%

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)

Fatal1fatal crashes0.2%
0.0%prior 1
Serious Injury7serious injury crashes1.1%
16.7%prior 6
Minor Injury114minor injury crashes18.3%
12.9%prior 101
Possible Injury36possible injury crashes5.8%
0.0%prior 36
No Injury460no injury crashes73.8%
11.4%prior 413

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

Inattention157 (25.2%)21.7%prior 129
Failed to yield right of way99 (15.9%)10.0%prior 90
No improper driving92 (14.8%)-9.8%prior 102
Followed too closely85 (13.6%)30.8%prior 65
Failure to keep in proper lane or running off road31 (5%)24.0%prior 25
Driving too fast for conditions23 (3.7%)64.3%prior 14
Disregarded traffic signs, signals, road markings19 (3%)26.7%prior 15
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner14 (2.2%)-26.3%prior 19
Other improper action10 (1.6%)66.7%prior 6
Fatigued/asleep10 (1.6%)-9.1%prior 11

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

Clear467 (75.9%)
8.9%prior 429
Rain50 (8.1%)
35.1%prior 37
Cloudy35 (5.7%)
-28.6%prior 49
Cloudy/Rain20 (3.3%)
53.8%prior 13
Clear/Clear10 (1.6%)
Rain/Cloudy9 (1.5%)
50.0%prior 6
Snow8 (1.3%)
60.0%prior 5
Cloudy/Snow4 (0.7%)
Fog, smog, smoke3 (0.5%)
Rain/Severe crosswinds3 (0.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash

Lighting

Daylight441 (71.1%)
14.8%prior 384
Dark - lighted roadway91 (14.7%)
-3.2%prior 94
Dark - roadway not lighted44 (7.1%)
-13.7%prior 51
Dawn22 (3.5%)
22.2%prior 18
Dusk19 (3.1%)
72.7%prior 11
Dark - unknown roadway lighting2 (0.3%)
Other1 (0.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field

Road Surface

Dry497 (80.4%)
6.0%prior 469
Wet101 (16.3%)
27.8%prior 79
Snow13 (2.1%)
Ice6 (1.0%)
-25.0%prior 8
Water (standing, moving)1 (0.2%)

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)

1
TOYOTA208 (17.3%)
24.6%prior 167
2
HONDA128 (10.6%)
8.5%prior 118
3
FORD121 (10.1%)
6.1%prior 114
4
CHEVROLET106 (8.8%)
12.8%prior 94
5
NISSAN87 (7.2%)
-9.4%prior 96
6
HYUNDAI64 (5.3%)
14.3%prior 56
7
JEEP56 (4.7%)
1.8%prior 55
8
KIA39 (3.2%)
25.8%prior 31
9
GMC33 (2.7%)
-19.5%prior 41
10
VOLKSWAGEN33 (2.7%)
153.8%prior 13

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)

Male836 (56.9%)
11.3%prior 751
Female634 (43.1%)
25.5%prior 505

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

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Raynham, MA Crash Report — 2024 | ThatCarHitMe.com