Monthly Traffic Safety Analysis

22 CRASHES IN
KINGSTON, MA
OCTOBER 2024

All metrics benchmarked againstOctober 2023

Total crashes in Kingston were 22 in October 2024, a decrease from 26 crashes in October 2023, representing a 15.38% reduction year-over-year. The most significant shift was the increase in total fatalities from 0 in October 2023 to 1 in October 2024. This period also saw a decrease in total injuries from 11 to 9.

22

▼ -15.4%was 26

Total Crash Events

1

Persons Killed

9

▼ -18.2%was 11

Persons Injured

0

▼ -100.0%was 2

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash activity in Kingston showed a downward trend year-over-year, with total crashes decreasing by 15.38% from 26 in October 2023 to 22 in October 2024. Despite this reduction in total crashes, fatalities increased from 0 to 1, while total injuries decreased by 18.18% from 11 to 9.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0→%

9

Motorists Injured

Prior: 11↓-18.2%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · 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 Tuesday in October 2023 (7 crashes) to Saturday in October 2024 (7 crashes). The peak hour also changed from 4 PM (4 crashes) in the prior period to 12 PM (4 crashes) in the current period. Notably, crashes on Saturday increased significantly from 1 in October 2023 to 7 in October 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes increased from 0 in October 2023 to 1 in October 2024, resulting in a fatal crash rate of 4.55% in the current period compared to 0% previously. The number of serious injury crashes remained constant at 2 in both periods, while minor injury crashes decreased from 6 to 5. Overall, total injuries decreased by 18.18% from 11 to 9.

Outcome by Severity (Crash Events)

Fatal1fatal crashes4.5%
Serious Injury2serious injury crashes9.1%
→0.0%prior 2
Minor Injury5minor injury crashes22.7%
↓-16.7%prior 6
No Injury14no injury crashes63.6%
↓-17.6%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Most severe injury per crash record

Top Contributing Factors

The most cited contributing factor, "No improper driving," decreased in count from 12 in October 2023 to 10 in October 2024. "Failed to yield right of way" crashes saw a notable decrease from 5 in the prior period to 1 in the current period. Conversely, "Disregarded traffic signs, signals, road markings" increased from 0 to 2 crashes, and "Exceeded authorized speed limit" appeared as a factor in 1 crash in the current period, up from 0.

Officer-Reported Primary Contributing Cause

No improper driving10 (45.5%)↓-16.7%prior 12
Disregarded traffic signs, signals, road markings2 (9.1%)
Failed to yield right of way1 (4.5%)↓-80.0%prior 5
Failure to keep in proper lane or running off road1 (4.5%)
Glare1 (4.5%)
Inattention1 (4.5%)
Distracted1 (4.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4.5%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (4.5%)
Exceeded authorized speed limit1 (4.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Clear weather conditions were associated with 15 crashes in October 2024, a decrease from 17 crashes in October 2023. There were no crashes reported under rain conditions in October 2024, compared to 5 rain-related crashes and 1 rain/cloudy crash in the prior period. Regarding lighting, daylight crashes decreased from 13 to 9, while crashes occurring at dawn increased from 0 to 2, and those in "Dark - unknown roadway lighting" also increased from 0 to 2. The road surface conditions section is empty for the current period, so no comparison can be made.

Weather

Clear15 (68.2%)
↓-11.8%prior 17
Cloudy4 (18.2%)
Clear/Clear2 (9.1%)
Cloudy/Cloudy1 (4.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Weather condition at time of crash

Lighting

Daylight9 (40.9%)
↓-30.8%prior 13
Dark - lighted roadway4 (18.2%)
Dark - roadway not lighted4 (18.2%)
↓-42.9%prior 7
Dark - unknown roadway lighting2 (9.1%)
Dawn2 (9.1%)
Dusk1 (4.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (34 vehicles)

1
TOYOTA6 (17.6%)
↓-25.0%prior 8
2
CHEVROLET5 (14.7%)
↓-16.7%prior 6
3
FORD3 (8.8%)
↓-66.7%prior 9
4
HONDA3 (8.8%)
5
NISSAN2 (5.9%)
6
HYUNDAI2 (5.9%)
7
JEEP2 (5.9%)
8
RAM2 (5.9%)
9
ACURA1 (2.9%)
10
VOLVO1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Vehicle unit records

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

Sex Distribution (50 persons with recorded sex)

Male26 (52.0%)
↓-35.0%prior 40
Female24 (48.0%)
↓-31.4%prior 35

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone increased from 10 in October 2023 to 12 in October 2024. Conversely, crashes in the 35 mph zone decreased from 6 to 1, and those in the 45 mph zone decreased from 5 to 1. A fatal crash occurred in the 60 mph speed zone in October 2024, which had 2 crashes, whereas no fatalities were recorded in any speed zone in the prior period despite 5 crashes occurring in the 60 mph zone.

Fatal crashes by zone: 60 mph: 1 of 2 (50%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-10-01 to 2024-10-31 · 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: 2024-10-01 through 2024-10-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-10-01 through 2024-10-31 (31 days)
  • Geographic scope: KINGSTON, MA
  • Total crash records analyzed: 22
  • Total persons involved: 52
  • Total vehicles involved: 34

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). "KINGSTON, MA Crash Intelligence Report: October 2024." Published June 21, 2026. Reporting period: 2024-10-01 to 2024-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/kingston/october-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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Kingston, MA Crash Report — October 2024 | ThatCarHitMe.com