Monthly Traffic Safety Analysis

11 CRASHES IN
HANSON, MA
OCTOBER 2024

All metrics benchmarked againstOctober 2023

In October 2024, HANSON experienced 11 total crashes, a significant decrease from the 20 crashes recorded in October 2023, representing a 45% reduction. Despite this overall decline, total injuries increased by 200%, rising from 1 injury in the prior period to 3 injuries in the current period, marking the single most notable shift.

11

-45.0%was 20

Total Crash Events

0

Persons Killed

3

200.0%was 1

Persons Injured

3

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 · 2024-10-01 to 2024-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a substantial decrease in crash incidents year-over-year, with total crashes falling by 45% from 20 to 11. However, this falling trend in crashes is accompanied by a concerning increase in total injuries, which rose from 1 to 3.

3

Hit-and-Run Crashes — October 2024

0.0% vs prior (3)

The number of hit-and-run crashes remained constant at 3 in both October 2023 and October 2024. However, the hit-and-run rate increased from 15% in the prior period to 27.3% in the current period, indicating an upward trend in the proportion of crashes involving a hit-and-run incident.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

2

Motorists Injured

Prior: 1100.0%

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 Thursday in October 2023, with 5 crashes, to Wednesday in October 2024, with 3 crashes. Similarly, the peak hour changed from 3 PM, which saw 5 crashes in the prior period, to 6 PM, with 3 crashes in the current period, indicating a shift in the busiest crash times.

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

Fatalities remained at 0 in both October 2023 and October 2024. However, total injuries increased from 1 in the prior period to 3 in the current period, representing a 200% increase. The proportion of crashes resulting in minor injuries also rose significantly from 5% (1 of 20) to 27.3% (3 of 11) year-over-year.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes27.3%
200.0%prior 1
No Injury8no injury crashes72.7%
-55.6%prior 18

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 frequent contributing factor, 'No improper driving,' decreased by 45.5% in count, from 11 crashes in the prior period to 6 crashes in the current period. Crashes attributed to 'Inattention' also saw a 50% decrease in count, falling from 2 crashes to 1 crash. Factors such as 'Made an improper turn' and 'Physical impairment' each accounted for 1 crash in the current period, not appearing in the prior period's listed top factors.

Officer-Reported Primary Contributing Cause

No improper driving6 (54.5%)-45.5%prior 11
Inattention1 (9.1%)
Made an improper turn1 (9.1%)
Physical impairment1 (9.1%)

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

Crashes occurring in clear weather conditions decreased from 18 to 9, while crashes in rainy conditions (Cloudy/Rain or Rain) remained at 2, but their proportion of total crashes increased from 10% (2 of 20) to 18.2% (2 of 11). Crashes on wet road surfaces decreased in count from 3 to 2, but their share of total crashes rose from 15% to 18.2%. Daylight crashes decreased from 13 to 7, while crashes in dark conditions decreased from 7 to 4.

Weather

Clear9 (81.8%)
-50.0%prior 18
Cloudy/Rain1 (9.1%)
Rain1 (9.1%)

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

Lighting

Daylight7 (63.6%)
-46.2%prior 13
Dark - lighted roadway2 (18.2%)
-66.7%prior 6
Dark - roadway not lighted2 (18.2%)

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

Road Surface

Dry9 (81.8%)
-47.1%prior 17
Wet2 (18.2%)

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

Vehicles & Demographics

Top Vehicle Makes (16 vehicles)

1
CHEVROLET4 (25%)
-20.0%prior 5
2
TOYOTA2 (12.5%)
3
VOLVO2 (12.5%)
4
JEEP1 (6.3%)
5
HD1 (6.3%)
6
FORD1 (6.3%)
-83.3%prior 6
7
GMC1 (6.3%)
8
BUIC1 (6.3%)

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

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

Sex Distribution (20 persons with recorded sex)

Male12 (60.0%)
-33.3%prior 18
Female8 (40.0%)
-46.7%prior 15

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 35 mph speed zone decreased from 9 in October 2023 to 7 in October 2024. Crashes in the 30 mph zone also decreased, from 5 to 3. Notably, crashes in the 25 mph and 40 mph speed zones, which each accounted for 2 crashes in the prior period, were not recorded in the current period's data.

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: HANSON, MA
  • Total crash records analyzed: 11
  • Total persons involved: 23
  • Total vehicles involved: 16

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). "HANSON, 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/hanson/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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Hanson, MA Crash Report — October 2024 | ThatCarHitMe.com