Monthly Traffic Safety Analysis

9 CRASHES IN
HANSON, MA
MAY 2022

All metrics benchmarked againstMay 2021

In May 2022, Hanson experienced a significant decrease in total crashes, with 9 crashes reported compared to 22 crashes in May 2021, representing a 59.1% reduction. This notable decline in overall incidents was accompanied by a 50.0% decrease in total injuries, falling from 6 to 3 year-over-year. The most prominent shift was the substantial reduction in crashes attributed to 'No improper driving' and 'Inattention' as contributing factors.

9

-59.1%was 22

Total Crash Events

0

Persons Killed

3

-50.0%was 6

Persons Injured

0

Fatal Crash Events

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 · 2022-05-01 to 2022-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash data for Hanson shows a strong downward trend year-over-year, with total crashes decreasing by 59.1% from 22 in May 2021 to 9 in May 2022. Similarly, total injuries decreased by 50.0%, from 6 in May 2021 to 3 in May 2022. No fatalities were reported in either period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 6-50.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · 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 Friday in May 2021, with 6 crashes, to Sunday in May 2022, with 3 crashes. The peak hour also changed, moving from 3 p.m. with 7 crashes in May 2021 to 5 p.m. with 2 crashes in May 2022. While crashes were more distributed across weekdays in May 2021, May 2022 saw no crashes on Tuesdays or Fridays.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either May 2021 or May 2022. The proportion of crashes resulting in any injury (Minor, Possible, or Serious) slightly decreased from 27.3% (6 out of 22 crashes) in May 2021 to 22.2% (2 out of 9 crashes) in May 2022. Specifically, May 2021 reported 1 serious injury crash and 5 minor injury crashes, whereas May 2022 reported 1 minor injury crash and 1 possible injury crash.

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes11.1%
-80.0%prior 5
Possible Injury1possible injury crashes11.1%
No Injury7no injury crashes77.8%
-53.3%prior 15

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Most severe injury per crash record

Top Contributing Factors

The count of crashes where 'No improper driving' was a factor decreased significantly from 10 crashes in May 2021 to 1 crash in May 2022. Crashes attributed to 'Inattention' also saw a decrease, falling from 6 crashes to 1 crash year-over-year. Additionally, 'Failure to keep in proper lane or running off road' decreased from 2 crashes in May 2021 to 1 crash in May 2022, while 'Distracted' became a notable factor in May 2022 with 2 crashes, not appearing in the top factors for May 2021.

Officer-Reported Primary Contributing Cause

Other improper action2 (22.2%)
Distracted2 (22.2%)
Followed too closely1 (11.1%)
No improper driving1 (11.1%)-90.0%prior 10
Inattention1 (11.1%)-83.3%prior 6
Failure to keep in proper lane or running off road1 (11.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The proportion of crashes occurring in clear weather conditions remained stable, accounting for 77.3% (17 of 22 crashes) in May 2021 and 77.8% (7 of 9 crashes) in May 2022. However, the proportion of crashes occurring in daylight conditions decreased from 81.8% (18 of 22 crashes) in May 2021 to 66.7% (6 of 9 crashes) in May 2022. Conversely, crashes occurring in non-daylight conditions (Dark - lighted roadway or Dusk) increased from 13.6% (3 of 22 crashes) in May 2021 to 33.3% (3 of 9 crashes) in May 2022.

Weather

Clear7 (77.8%)
-58.8%prior 17
Clear/Unknown1 (11.1%)
Cloudy1 (11.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Weather condition at time of crash

Lighting

Daylight6 (66.7%)
-66.7%prior 18
Dark - lighted roadway2 (22.2%)
Dusk1 (11.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (16 vehicles)

1
CHEVROLET3 (18.8%)
2
FORD3 (18.8%)
3
TOYOTA3 (18.8%)
4
HD1 (6.3%)
5
HONDA1 (6.3%)
6
ISU1 (6.3%)
7
JEEP1 (6.3%)
-85.7%prior 7
8
MAZDA1 (6.3%)
9
RAM1 (6.3%)
10
FRHT1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Vehicle unit records

Sex Distribution (17 persons with recorded sex)

Male11 (64.7%)
-38.9%prior 18
Female6 (35.3%)
-66.7%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Person-level records linked to crash events

Speed Limit Zones

The total number of crashes with reported speed limits decreased from 19 in May 2021 to 8 in May 2022. Crashes occurring in 35 mph zones decreased from 11 to 5, and in 30 mph zones from 4 to 1. May 2022 saw crashes reported in lower speed zones of 5 mph (1 crash) and 15 mph (1 crash), which were not present in May 2021, while the 40 mph zone (1 crash in May 2021) had no reported crashes in May 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · 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: 2022-05-01 through 2022-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-05-01 through 2022-05-31 (31 days)
  • Geographic scope: HANSON, MA
  • Total crash records analyzed: 9
  • Total persons involved: 17
  • 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: May 2022." Published June 21, 2026. Reporting period: 2022-05-01 to 2022-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/hanson/may-2022-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 — May 2022 | ThatCarHitMe.com