Monthly Traffic Safety Analysis

93 CRASHES IN
STOUGHTON, MA
DECEMBER 2024

All metrics benchmarked againstDecember 2023

Total crashes in Stoughton increased by 10.71%, rising from 84 in December 2023 to 93 in December 2024. Total injuries also saw an increase of 20.51%, from 39 to 47. A notable shift was the significant increase in crashes occurring on snow-covered road surfaces, which rose from 1 to 17.

93

10.7%was 84

Total Crash Events

0

Persons Killed

47

20.5%was 39

Persons Injured

5

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. 3 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Stoughton showed an upward trend year-over-year, with total crashes increasing by 10.71% from 84 to 93. Concurrently, the number of total injuries rose by 20.51%, from 39 to 47. Fatalities remained at zero in both periods.

5

Hit-and-Run Crashes — December 2024

0.0% vs prior (5)

The number of hit-and-run crashes remained consistent at 5 in both December 2023 and December 2024. However, the hit-and-run rate slightly decreased from 6.0% of total crashes in the prior period to 5.4% in the current period.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

46

Motorists Injured

Prior: 3627.8%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Monday in December 2023 to Tuesday in December 2024, with both days recording 16 crashes. The peak hour for crashes remained 5p in both periods, though the count at this hour decreased from 12 crashes in the prior period to 10 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes reported in either period. Serious injury crashes remained stable at 3 in both periods, representing 3.6% of crashes in the prior period and 3.2% in the current period. Minor injury crashes increased from 13 (15.5% share) to 16 (17.2% share), while possible injury crashes decreased from 11 (13.1% share) to 7 (7.5% share).

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes3.2%
0.0%prior 3
Minor Injury16minor injury crashes17.2%
23.1%prior 13
Possible Injury7possible injury crashes7.5%
-36.4%prior 11
No Injury64no injury crashes68.8%
14.3%prior 56

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'No improper driving' increased from 23 to 30, a 30.43% rise in count. Conversely, 'Inattention' as a contributing factor saw a substantial 75% decrease in count, falling from 12 crashes to 3. Crashes due to 'Failed to yield right of way' decreased slightly from 10 to 9, a 10% reduction in count.

Officer-Reported Primary Contributing Cause

No improper driving30 (32.3%)30.4%prior 23
Failed to yield right of way9 (9.7%)-10.0%prior 10
Followed too closely6 (6.5%)-14.3%prior 7
Failure to keep in proper lane or running off road4 (4.3%)
Inattention3 (3.2%)-75.0%prior 12
Disregarded traffic signs, signals, road markings3 (3.2%)
Made an improper turn3 (3.2%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (3.2%)-40.0%prior 5
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway3 (3.2%)
Driving too fast for conditions2 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions slightly increased from 56 to 59. Notably, crashes during 'Snow' weather conditions rose from 2 in December 2023 to 7 in December 2024. Correspondingly, crashes on 'Snow' road surfaces increased significantly from 1 to 17, while crashes on 'Dry' road surfaces decreased from 64 to 52.

Weather

Clear59 (63.4%)
5.4%prior 56
Snow7 (7.5%)
Rain6 (6.5%)
-33.3%prior 9
Cloudy6 (6.5%)
20.0%prior 5
Snow/Sleet, hail (freezing rain or drizzle)3 (3.2%)
Cloudy/Snow3 (3.2%)
Cloudy/Rain2 (2.2%)
Rain/Cloudy1 (1.1%)
Rain/Severe crosswinds1 (1.1%)
Sleet, hail (freezing rain or drizzle)1 (1.1%)

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

Lighting

Daylight52 (55.9%)
33.3%prior 39
Dark - lighted roadway30 (32.3%)
3.4%prior 29
Dark - roadway not lighted8 (8.6%)
0.0%prior 8
Dawn2 (2.2%)
Dark - unknown roadway lighting1 (1.1%)

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

Road Surface

Dry52 (55.9%)
-18.8%prior 64
Wet18 (19.4%)
-5.3%prior 19
Snow17 (18.3%)
Ice5 (5.4%)
Water (standing, moving)1 (1.1%)

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

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 162 to 177. Toyota became the top vehicle make involved, with its count rising from 21 to 49, a 133.33% increase. Honda, previously the leading make, saw its involvement decrease from 23 to 19 vehicles.

Top Vehicle Makes (177 vehicles)

1
TOYOTA49 (27.7%)
133.3%prior 21
2
HONDA19 (10.7%)
-17.4%prior 23
3
NISSAN16 (9%)
33.3%prior 12
4
FORD15 (8.5%)
-21.1%prior 19
5
CHEVROLET14 (7.9%)
-26.3%prior 19
6
JEEP8 (4.5%)
-20.0%prior 10
7
HYUNDAI7 (4%)
40.0%prior 5
8
LEXUS6 (3.4%)
0.0%prior 6
9
ACURA4 (2.3%)
10
KIA4 (2.3%)

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

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

Sex Distribution (215 persons with recorded sex)

Male122 (56.7%)
18.4%prior 103
Female93 (43.3%)
36.8%prior 68

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 to 2024-12-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 30 MPH speed zones decreased from 41 to 26. In contrast, crashes in 35 MPH zones increased from 17 to 26, and those in 40 MPH zones rose from 8 to 17. No fatal crashes were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-12-01 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: 2024-12-01 through 2024-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-12-01 through 2024-12-31 (31 days)
  • Geographic scope: STOUGHTON, MA
  • Total crash records analyzed: 93
  • Total persons involved: 229
  • Total vehicles involved: 177

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). "STOUGHTON, MA Crash Intelligence Report: December 2024." Published June 21, 2026. Reporting period: 2024-12-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/stoughton/december-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

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Stoughton, MA Crash Report — December 2024 | ThatCarHitMe.com