Monthly Traffic Safety Analysis

10 CRASHES IN
MENDON, MA
APRIL 2022

All metrics benchmarked againstApril 2021

In April 2022, Mendon experienced 10 crashes, a slight increase from the 9 crashes reported in April 2021, representing an 11.1% rise year-over-year. Despite this increase in crash volume, total injuries decreased significantly by 75%, from 4 injuries in April 2021 to 1 injury in April 2022. Additionally, April 2022 saw the emergence of 1 hit-and-run crash, 1 DUI crash, and 1 speeding-related crash, none of which were reported in the prior year.

10

11.1%was 9

Total Crash Events

0

Persons Killed

1

-75.0%was 4

Persons Injured

1

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 · 2022-04-01 to 2022-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the trend shows a slight increase in total crashes, rising from 9 in April 2021 to 10 in April 2022, an 11.1% increase. However, this period also saw a notable decrease in injuries, with total injuries falling by 75% from 4 to 1 year-over-year, while fatalities remained at 0 in both periods.

1

Hit-and-Run Crashes — April 2022

10.0% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

1

Motorists Injured

Prior: 4-75.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted year-over-year. In April 2022, the peak day for crashes was Tuesday with 4 incidents, whereas April 2021's peak day was Thursday, also with 4 incidents. The peak hour for crashes in April 2022 was 3 PM with 3 crashes, a change from April 2021 where 10 PM was listed as the peak hour with 1 crash.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity distribution of crashes changed significantly year-over-year, with a substantial decrease in injuries. Minor injuries dropped from 3 crashes (33.3% of total crashes) in April 2021 to 1 crash (10% of total crashes) in April 2022. Furthermore, April 2021 recorded 1 possible injury, a category not present in April 2022, while crashes with no injuries increased from 6 to 9.

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes10%
-66.7%prior 3
No Injury9no injury crashes90%
50.0%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Most severe injury per crash record

Top Contributing Factors

The contributing factors saw some shifts year-over-year. "Failed to yield right of way" remained consistent, contributing to 3 crashes in both April 2021 and April 2022. "Followed too closely" also remained at 1 crash in both periods. However, "Inattention," which accounted for 3 crashes in April 2021, was not among the top factors in April 2022, where "No improper driving" emerged as a factor in 3 crashes.

Officer-Reported Primary Contributing Cause

Failed to yield right of way3 (30%)
No improper driving3 (30%)
Disregarded traffic signs, signals, road markings1 (10%)
Exceeded authorized speed limit1 (10%)
Failure to keep in proper lane or running off road1 (10%)
Followed too closely1 (10%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Weather conditions remained predominantly clear across both periods, with 6 crashes occurring in "Clear" conditions in April 2022 compared to 7 in April 2021. Lighting conditions showed little change, with 8 crashes occurring in daylight in both April 2021 and April 2022, and 1 crash occurring in "Dark - lighted roadway" conditions in both periods. The road surface condition data for April 2022 is not available for comparison.

Weather

Clear6 (60.0%)
-14.3%prior 7
Cloudy2 (20.0%)
Clear/Clear1 (10.0%)
Cloudy/Cloudy1 (10.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Weather condition at time of crash

Lighting

Daylight8 (80.0%)
0.0%prior 8
Dark - lighted roadway1 (10.0%)
Dusk1 (10.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (16 vehicles)

1
NISSAN2 (12.5%)
2
FORD2 (12.5%)
3
CHEVROLET2 (12.5%)
4
HONDA2 (12.5%)
5
MERCEDES-BENZ1 (6.3%)
6
SUBARU1 (6.3%)
7
TOYOTA1 (6.3%)
8
AUDI1 (6.3%)
9
VOLKSWAGEN1 (6.3%)
10
GMC1 (6.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Vehicle unit records

Sex Distribution (16 persons with recorded sex)

Male13 (81.3%)
18.2%prior 11
Female3 (18.8%)
-75.0%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in April 2022 were concentrated in slightly higher speed zones compared to the prior year. The number of crashes in 30 mph zones increased from 2 to 4, in 35 mph zones from 2 to 3, and in 40 mph zones from 2 to 3. Crashes in 25 mph and 45 mph zones, which each accounted for 1 crash in April 2021, were not reported in April 2022. Fatalities remained at 0 in all speed zones for both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · 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: 2022-04-01 through 2022-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-04-01 through 2022-04-30 (30 days)
  • Geographic scope: MENDON, MA
  • Total crash records analyzed: 10
  • Total persons involved: 20
  • 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). "MENDON, MA Crash Intelligence Report: April 2022." Published June 21, 2026. Reporting period: 2022-04-01 to 2022-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/mendon/april-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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Mendon, MA Crash Report — April 2022 | ThatCarHitMe.com