Yearly Traffic Safety Analysis

1,081 CRASHES IN
ATTLEBORO, MA
2024

All metrics benchmarked against2023

In 2024, Attleboro recorded 1,081 traffic crashes, a 3.2% increase from the 1,048 crashes in 2023. Total injuries also rose from 353 to 396. The most significant year-over-year change was the occurrence of one fatal crash in 2024, compared to zero in the previous year.

1,081

3.1%was 1,048

Total Crash Events

1

Persons Killed

396

12.2%was 353

Persons Injured

60

5.3%was 57

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. 10 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

Overall traffic crashes in Attleboro show a slight upward trend, increasing by 3.2% from 1,048 in 2023 to 1,081 in 2024. This increase was accompanied by a 12.2% rise in total injuries, from 353 to 396, and an increase in fatalities from zero to one.

60

Hit-and-Run Crashes — 2024

5.3% vs prior (57)

Hit-and-run incidents saw a slight increase in both count and rate. The number of hit-and-run crashes rose from 57 in 2023 to 60 in 2024. This corresponds to a minor increase in the hit-and-run rate from 5.4% to 5.6% of total crashes.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

6

Pedestrians Injured

Prior: 8-25.0%

5

Cyclists Injured

Prior: 7-28.6%

383

Motorists Injured

Prior: 33813.3%

2

Other Injured

Prior: 0%

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 time of day when crashes were most frequent shifted slightly, with the peak hour moving from 4 p.m. (89 crashes) in 2023 to 3 p.m. (99 crashes) in 2024. The peak day for crashes also changed, from Monday (166 crashes) in the prior year to a tie between Friday and Saturday (166 crashes each) in the current year.

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

While 2023 recorded no fatal crashes, 2024 saw one fatal crash, representing 0.1% of all incidents. The number of serious injury crashes decreased from 23 to 17 year-over-year. However, crashes resulting in minor injuries increased from 135 to 167, and possible injury crashes rose from 105 to 111.

Outcome by Severity (Crash Events)

Fatal1fatal crashes0.1%
Serious Injury17serious injury crashes1.6%
-26.1%prior 23
Minor Injury167minor injury crashes15.4%
23.7%prior 135
Possible Injury111possible injury crashes10.3%
5.7%prior 105
No Injury775no injury crashes71.7%
-0.1%prior 776

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

The leading contributing factors remained consistent between the two periods, though their counts shifted. 'Failed to yield right of way' remained the top factor, increasing in count from 208 crashes in 2023 to 234 in 2024. 'Followed too closely' was stable with 168 incidents in 2023 and 169 in 2024. Conversely, crashes attributed to 'Inattention' decreased from 161 to 136.

Officer-Reported Primary Contributing Cause

Failed to yield right of way234 (21.6%)12.5%prior 208
Followed too closely169 (15.6%)0.6%prior 168
Inattention136 (12.6%)-15.5%prior 161
Failure to keep in proper lane or running off road120 (11.1%)22.4%prior 98
No improper driving76 (7%)-11.6%prior 86
Disregarded traffic signs, signals, road markings50 (4.6%)25.0%prior 40
Driving too fast for conditions46 (4.3%)-32.4%prior 68
Distracted38 (3.5%)35.7%prior 28
Other improper action34 (3.1%)-2.9%prior 35
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner27 (2.5%)42.1%prior 19

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

Crashes in 2024 more frequently occurred in favorable conditions compared to the prior year. Incidents during daylight hours increased from 708 to 740, and crashes on dry road surfaces rose from 798 to 844. Concurrently, crashes on wet roads decreased from 221 to 177, indicating that the overall rise in crashes was not driven by adverse road or lighting conditions.

Weather

Clear/Clear442 (40.9%)
18.5%prior 373
Clear354 (32.7%)
-8.1%prior 385
Rain55 (5.1%)
-38.2%prior 89
Cloudy50 (4.6%)
6.4%prior 47
Rain/Rain36 (3.3%)
12.5%prior 32
Cloudy/Cloudy36 (3.3%)
80.0%prior 20
Cloudy/Rain21 (1.9%)
-30.0%prior 30
Snow19 (1.8%)
280.0%prior 5
Rain/Cloudy19 (1.8%)
-24.0%prior 25
Snow/Snow10 (0.9%)

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

Lighting

Daylight740 (68.5%)
4.5%prior 708
Dark - lighted roadway225 (20.8%)
18.4%prior 190
Dark - roadway not lighted65 (6.0%)
-33.7%prior 98
Dusk31 (2.9%)
-11.4%prior 35
Dawn18 (1.7%)
80.0%prior 10
Dark - unknown roadway lighting2 (0.2%)
-66.7%prior 6

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

Road Surface

Dry844 (78.1%)
5.8%prior 798
Wet177 (16.4%)
-19.9%prior 221
Snow27 (2.5%)
285.7%prior 7
Ice15 (1.4%)
Slush9 (0.8%)
Water (standing, moving)5 (0.5%)
-50.0%prior 10
Sand, mud, dirt, oil, gravel3 (0.3%)

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

Vehicles & Demographics

The most common vehicle makes involved in crashes remained stable year-over-year, with Toyota, Honda, and Ford being the top three in both 2023 and 2024. Analysis of persons involved shows a notable increase in the 65+ age group, from 277 individuals in 2023 to 301 in 2024. The 21-25 age group also saw an increase from 255 to 293 persons involved.

Top Vehicle Makes (1,986 vehicles)

1
TOYOTA349 (17.6%)
2.6%prior 340
2
HONDA240 (12.1%)
5.7%prior 227
3
FORD177 (8.9%)
9.3%prior 162
4
CHEVROLET145 (7.3%)
29.5%prior 112
5
NISSAN141 (7.1%)
-7.8%prior 153
6
JEEP101 (5.1%)
13.5%prior 89
7
HYUNDAI94 (4.7%)
-6.9%prior 101
8
SUBARU79 (4%)
25.4%prior 63
9
KIA72 (3.6%)
-1.4%prior 73
10
GMC43 (2.2%)
-4.4%prior 45

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records

111 persons with unknown or unrecorded age excluded from age chart.

Sex Distribution (2,381 persons with recorded sex)

Male1,378 (57.9%)
10.4%prior 1,248
Female1,001 (42.0%)
-6.0%prior 1,065
X / Unspecified2 (0.1%)
0.0%prior 2

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

Year-over-year, there was a shift in where crashes occurred by speed limit. Crashes in 65 mph zones decreased from 210 to 181, while those in 30 mph zones increased from 373 to 400. The single fatal crash recorded in 2024 occurred in a 30 mph zone; no fatalities were recorded in any zone in 2023.

Fatal crashes by zone: 30 mph: 1 of 400 (0.25%)

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: ATTLEBORO, MA
  • Total crash records analyzed: 1,081
  • Total persons involved: 2,518
  • Total vehicles involved: 1,986

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). "ATTLEBORO, 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/attleboro/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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Attleboro, MA Crash Report — 2024 | ThatCarHitMe.com