Monthly Traffic Safety Analysis

71 CRASHES IN
ATTLEBORO, MA
AUGUST 2023

All metrics benchmarked againstAugust 2022

ATTLEBORO experienced a 20.2% decrease in total crashes, from 89 in August 2022 to 71 in August 2023. A notable shift was the absence of traffic fatalities in August 2023, compared to one fatality in August 2022. Total injuries also saw a substantial reduction, falling from 38 to 21.

71

-20.2%was 89

Total Crash Events

0

-100.0%was 1

Persons Killed

21

-44.7%was 38

Persons Injured

2

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in ATTLEBORO trended downwards year-over-year, with total crashes decreasing by 20.2% from 89 in August 2022 to 71 in August 2023. This reduction indicates a significant improvement in traffic safety during the period.

2

Hit-and-Run Crashes — August 2023

0.0% vs prior (2)

The number of hit-and-run crashes remained constant at 2 in both August 2022 and August 2023. However, the hit-and-run rate increased from 2.2% in August 2022 to 2.8% in August 2023, indicating a slight upward trend relative to the total number of crashes.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 1-100.0%

3

Pedestrians Injured

Prior: 0%

1

Cyclists Injured

Prior: 0%

17

Motorists Injured

Prior: 38-55.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Wednesday with 21 crashes in August 2022 to Tuesday with 14 crashes in August 2023. While the peak hour remained 4 PM in both periods, the number of crashes at this hour decreased from 10 in August 2022 to 8 in August 2023. Monday crashes also saw a significant decrease, falling from 19 in the prior period to 10 in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

ATTLEBORO saw a positive change in crash severity, with no fatalities reported in August 2023 compared to one fatal crash in August 2022. Total injuries decreased from 38 to 21 year-over-year. While minor injuries increased from 10 to 12, possible injuries decreased significantly from 10 to 4.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes4.2%
200.0%prior 1
Minor Injury12minor injury crashes16.9%
20.0%prior 10
Possible Injury4possible injury crashes5.6%
-60.0%prior 10
No Injury52no injury crashes73.2%
-20.0%prior 65

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'Failed to yield right of way,' decreased from 25 crashes in August 2022 to 20 crashes in August 2023. 'Inattention' also saw a reduction, from 17 crashes to 14 crashes year-over-year. 'Disregarded traffic signs, signals, road markings' decreased from 5 crashes to 1 crash, while 'No improper driving' increased from 4 crashes to 5 crashes.

Officer-Reported Primary Contributing Cause

Failed to yield right of way20 (28.2%)-20.0%prior 25
Inattention14 (19.7%)-17.6%prior 17
Followed too closely8 (11.3%)-11.1%prior 9
Failure to keep in proper lane or running off road5 (7%)0.0%prior 5
No improper driving5 (7%)
Other improper action4 (5.6%)
Distracted3 (4.2%)-40.0%prior 5
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (2.8%)
Over-correcting/over-steering1 (1.4%)
Illness1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring on dry road surfaces decreased from 79 in August 2022 to 62 in August 2023, while wet road surface crashes slightly decreased from 9 to 8. Crashes during daylight conditions decreased from 65 to 52 year-over-year. The number of crashes during clear weather conditions (Clear or Clear/Clear) decreased from 73 to 55.

Weather

Clear29 (40.8%)
-27.5%prior 40
Clear/Clear26 (36.6%)
-21.2%prior 33
Cloudy4 (5.6%)
Cloudy/Cloudy3 (4.2%)
-40.0%prior 5
Rain/Cloudy3 (4.2%)
Rain2 (2.8%)
Rain/Rain2 (2.8%)
Rain/Severe crosswinds1 (1.4%)
Clear/Cloudy1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Weather condition at time of crash

Lighting

Daylight52 (73.2%)
-20.0%prior 65
Dark - lighted roadway16 (22.5%)
6.7%prior 15
Dark - roadway not lighted3 (4.2%)
-50.0%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Lighting condition field

Road Surface

Dry62 (87.3%)
-21.5%prior 79
Wet8 (11.3%)
-11.1%prior 9
Other1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 165 in August 2022 to 124 in August 2023. Toyota vehicles involved in crashes decreased from 35 to 20, while Honda vehicles increased from 14 to 20, tying with Toyota for the most common make. There was a notable decrease in crash involvement for the 16-20 age group, falling from 29 persons to 11 persons, and for the 35-44 age group, dropping from 41 to 25 persons.

Top Vehicle Makes (124 vehicles)

1
HONDA20 (16.1%)
42.9%prior 14
2
TOYOTA20 (16.1%)
-42.9%prior 35
3
NISSAN11 (8.9%)
0.0%prior 11
4
FORD9 (7.3%)
-25.0%prior 12
5
HYUNDAI7 (5.6%)
40.0%prior 5
6
JEEP7 (5.6%)
-12.5%prior 8
7
SUBARU6 (4.8%)
-33.3%prior 9
8
CHEVROLET4 (3.2%)
-71.4%prior 14
9
BUIC3 (2.4%)
10
MAZDA3 (2.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Vehicle unit records

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

Sex Distribution (156 persons with recorded sex)

Female79 (50.6%)
-11.2%prior 89
Male77 (49.4%)
-24.5%prior 102

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone decreased from 27 in August 2022 to 24 in August 2023. The 40 mph zone also saw a reduction, from 22 crashes to 16 crashes. A significant decrease was observed in the 65 mph zone, where crashes fell from 17 to 7 year-over-year, and there were no fatalities in any speed zone in August 2023, compared to one fatality in the 45 mph zone in August 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · 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: 2023-08-01 through 2023-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-08-01 through 2023-08-31 (31 days)
  • Geographic scope: ATTLEBORO, MA
  • Total crash records analyzed: 71
  • Total persons involved: 157
  • Total vehicles involved: 124

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: August 2023." Published June 21, 2026. Reporting period: 2023-08-01 to 2023-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/attleboro/august-2023-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 — August 2023 | ThatCarHitMe.com