Monthly Traffic Safety Analysis

40 CRASHES IN
SHARON, MA
APRIL 2025

All metrics benchmarked againstApril 2024

Total crashes in Sharon increased from 29 in April 2024 to 40 in April 2025, representing a 37.93% rise. The most notable shift was the 100% increase in total injuries, rising from 8 to 16.

40

37.9%was 29

Total Crash Events

0

Persons Killed

16

100.0%was 8

Persons Injured

5

150.0%was 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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Sharon are trending upwards year-over-year, with total crashes increasing by 37.93% from 29 in April 2024 to 40 in April 2025. This increase was accompanied by a 100% rise in total injuries, from 8 to 16, while fatalities remained at 0 in both periods.

5

Hit-and-Run Crashes — April 2025

150.0% vs prior (2)

Hit-and-run crashes increased by 150%, rising from 2 in April 2024 to 5 in April 2025. The hit-and-run rate also increased from 6.9% of total crashes in April 2024 to 12.5% in April 2025, indicating an upward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

15

Motorists Injured

Prior: 887.5%

1

Other Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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 Thursday, with 9 crashes in April 2024, to Wednesday, with 12 crashes in April 2025. Similarly, the peak crash hour moved from 3p, with 3 crashes in April 2024, to 4p, with 4 crashes in April 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at 0 in both April 2024 and April 2025. The proportion of crashes resulting in any injury (Serious, Minor, or Possible) increased from 20.7% (6 out of 29 crashes) in April 2024 to 35% (14 out of 40 crashes) in April 2025. Serious injury crashes, with 1 reported, appeared in April 2025, whereas only minor and possible injuries were recorded in April 2024.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.5%
Minor Injury13minor injury crashes32.5%
550.0%prior 2
No Injury25no injury crashes62.5%
8.7%prior 23

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Followed too closely' increased by 100%, from 5 in April 2024 to 10 in April 2025. 'Driving too fast for conditions' crashes also saw a significant increase of 150%, rising from 2 to 5. Conversely, 'Failed to yield right of way' crashes decreased by 80%, from 5 to 1 during the same period.

Officer-Reported Primary Contributing Cause

Followed too closely10 (25%)100.0%prior 5
No improper driving6 (15%)20.0%prior 5
Driving too fast for conditions5 (12.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (7.5%)
Failure to keep in proper lane or running off road3 (7.5%)
Exceeded authorized speed limit2 (5%)
Inattention2 (5%)
Distracted2 (5%)
Physical impairment1 (2.5%)
Failed to yield right of way1 (2.5%)-80.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions (Clear or Clear/Clear) increased from 17 in April 2024 to 28 in April 2025. Crashes on dry road surfaces rose from 21 to 33 year-over-year. Crashes in daylight conditions also increased, from 21 in April 2024 to 27 in April 2025.

Weather

Clear19 (47.5%)
18.8%prior 16
Clear/Clear9 (22.5%)
Cloudy6 (15.0%)
20.0%prior 5
Cloudy/Rain2 (5.0%)
Rain/Rain2 (5.0%)
Rain/Cloudy1 (2.5%)
Rain1 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Weather condition at time of crash

Lighting

Daylight27 (69.2%)
28.6%prior 21
Dark - lighted roadway4 (10.3%)
Dark - roadway not lighted4 (10.3%)
Dawn3 (7.7%)
Dusk1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Lighting condition field

Road Surface

Dry33 (82.5%)
57.1%prior 21
Wet7 (17.5%)
40.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Road surface condition field

Vehicles & Demographics

The total number of persons involved in crashes increased from 63 in April 2024 to 98 in April 2025. All age groups saw an increase in involved persons, with the 35-44 age group rising from 13 to 20 persons and the 26-34 age group from 11 to 19 persons. HONDA and TOYOTA remained the top two vehicle makes involved, with HONDA increasing from 6 to 15 and TOYOTA from 5 to 13.

Top Vehicle Makes (79 vehicles)

1
HONDA15 (19%)
150.0%prior 6
2
TOYOTA13 (16.5%)
160.0%prior 5
3
NISSAN7 (8.9%)
40.0%prior 5
4
FORD6 (7.6%)
5
JEEP4 (5.1%)
6
CHEVROLET4 (5.1%)
7
SUBARU4 (5.1%)
8
HYUNDAI3 (3.8%)
9
BMW2 (2.5%)
10
VOLKSWAGEN2 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Vehicle unit records

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

Sex Distribution (86 persons with recorded sex)

Male49 (57.0%)
32.4%prior 37
Female37 (43.0%)
85.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 65 mph speed limit zones increased by 87.5%, from 8 in April 2024 to 15 in April 2025. Crashes in 35 mph zones decreased from 7 to 5, while crashes in 25 mph zones remained stable at 6 in both periods. No fatal crashes were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-04-01 to 2025-04-30 · 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: 2025-04-01 through 2025-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-04-01 through 2025-04-30 (30 days)
  • Geographic scope: SHARON, MA
  • Total crash records analyzed: 40
  • Total persons involved: 98
  • Total vehicles involved: 79

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). "SHARON, MA Crash Intelligence Report: April 2025." Published June 21, 2026. Reporting period: 2025-04-01 to 2025-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/sharon/april-2025-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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Sharon, MA Crash Report — April 2025 | ThatCarHitMe.com