Monthly Traffic Safety Analysis

39 CRASHES IN
SHARON, MA
AUGUST 2024

All metrics benchmarked againstAugust 2023

In August 2024, SHARON experienced 39 total crashes, a decrease from 45 crashes in August 2023. This represents a 13.3% reduction in total crashes year-over-year. A notable shift includes the increase in serious injuries despite an overall decrease in crash frequency.

39

-13.3%was 45

Total Crash Events

0

Persons Killed

14

-12.5%was 16

Persons Injured

3

50.0%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 · 2024-08-01 to 2024-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in SHARON decreased from 45 in August 2023 to 39 in August 2024, marking a 13.3% reduction. Similarly, total injuries decreased by 12.5%, from 16 to 14 over the same period, indicating a general downward trend in crash and injury occurrences.

3

Hit-and-Run Crashes — August 2024

50.0% vs prior (2)

Hit-and-run crashes increased from 2 in August 2023 to 3 in August 2024. This resulted in an increase in the hit-and-run crash rate from 4.4% to 7.7% year-over-year.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

13

Motorists Injured

Prior: 16-18.8%

1

Other Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Friday in both periods, with 11 crashes in August 2024 compared to 9 in August 2023. However, the peak hour shifted from 11 AM (8 crashes) in the prior period to 8 AM (5 crashes) in the current period, indicating a change in daily peak crash times.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at 0 in both August 2023 and August 2024. The number of crashes resulting in any injury decreased from 15 in the prior period to 8 in the current period. Notably, serious injuries increased from 0 in August 2023 to 2 in August 2024, while minor injuries decreased from 9 to 3.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes5.1%
Minor Injury3minor injury crashes7.7%
-66.7%prior 9
Possible Injury3possible injury crashes7.7%
-50.0%prior 6
No Injury30no injury crashes76.9%
3.4%prior 29

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Most severe injury per crash record

Top Contributing Factors

The count of crashes attributed to 'No improper driving' decreased by 2, from 11 to 9. Crashes where 'Followed too closely' was a factor saw a 50% reduction, decreasing from 8 to 4 crashes. Conversely, 'Other improper action' increased by 3 crashes, from 1 to 4, and 'Exceeded authorized speed limit' appeared as a factor in 2 crashes in the current period, up from 0 in the prior period.

Officer-Reported Primary Contributing Cause

No improper driving9 (23.1%)-18.2%prior 11
Inattention4 (10.3%)-20.0%prior 5
Followed too closely4 (10.3%)-50.0%prior 8
Other improper action4 (10.3%)
Distracted2 (5.1%)
Exceeded authorized speed limit2 (5.1%)
Failed to yield right of way2 (5.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (5.1%)
Fatigued/asleep1 (2.6%)
Failure to keep in proper lane or running off road1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring during daylight hours decreased from 39 in August 2023 to 29 in August 2024. Conversely, crashes in 'Dark - roadway not lighted' conditions increased from 1 to 7 over the same period. The number of crashes on wet road surfaces remained constant at 8 for both periods.

Weather

Clear29 (74.4%)
0.0%prior 29
Cloudy3 (7.7%)
Rain3 (7.7%)
-50.0%prior 6
Cloudy/Rain2 (5.1%)
Clear/Other1 (2.6%)
Rain/Cloudy1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Weather condition at time of crash

Lighting

Daylight29 (74.4%)
-25.6%prior 39
Dark - roadway not lighted7 (17.9%)
Dark - unknown roadway lighting1 (2.6%)
Dawn1 (2.6%)
Dusk1 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Lighting condition field

Road Surface

Dry31 (79.5%)
-16.2%prior 37
Wet8 (20.5%)
0.0%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Road surface condition field

Vehicles & Demographics

Toyota remained the most common vehicle make involved in crashes, though its count decreased from 17 in the prior period to 9 in the current period. The 26-34 age group showed a significant increase in persons involved, rising from 9 to 20. In contrast, the 16-20 age group saw a decrease from 12 to 2 persons involved.

Top Vehicle Makes (69 vehicles)

1
TOYOTA9 (13%)
-47.1%prior 17
2
FORD8 (11.6%)
14.3%prior 7
3
CHEVROLET7 (10.1%)
4
LEXUS5 (7.2%)
5
SUBARU4 (5.8%)
-33.3%prior 6
6
HONDA4 (5.8%)
-42.9%prior 7
7
JEEP4 (5.8%)
8
NISSAN3 (4.3%)
9
HYUNDAI3 (4.3%)
10
DODGE2 (2.9%)
-66.7%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Vehicle unit records

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

Sex Distribution (73 persons with recorded sex)

Male49 (67.1%)
-2.0%prior 50
Female24 (32.9%)
-51.0%prior 49

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone decreased from 9 in the prior period to 2 in the current period, a 77.8% reduction. Conversely, crashes in the 65 mph speed zone increased by 20%, from 10 to 12. Fatal crashes remained at 0 across all speed zones in both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · 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: 2024-08-01 through 2024-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-08-01 through 2024-08-31 (31 days)
  • Geographic scope: SHARON, MA
  • Total crash records analyzed: 39
  • Total persons involved: 83
  • Total vehicles involved: 69

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: August 2024." Published June 21, 2026. Reporting period: 2024-08-01 to 2024-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/sharon/august-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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Sharon, MA Crash Report — August 2024 | ThatCarHitMe.com