Monthly Traffic Safety Analysis

13 CRASHES IN
MENDON, MA
JULY 2024

All metrics benchmarked againstJuly 2023

In July 2024, Mendon experienced 13 crashes, an 18.2% increase from the 11 crashes recorded in July 2023. Total injuries also rose by 50.0%, from 2 to 3. A notable shift includes a 100.0% increase in crashes involving operating a vehicle in an erratic, reckless, careless, negligent, or aggressive manner, rising from 0 to 2 incidents.

13

18.2%was 11

Total Crash Events

0

Persons Killed

3

50.0%was 2

Persons Injured

0

-100.0%was 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 · 2024-07-01 to 2024-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in Mendon increased year-over-year, with total crashes rising by 18.2% from 11 in July 2023 to 13 in July 2024. Concurrently, the number of injured persons increased by 50.0%, from 2 to 3. There were no fatalities reported in either period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

3

Motorists Injured

Prior: 250.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted significantly year-over-year. In July 2023, Sunday was the peak day for crashes with 4 incidents, but in July 2024, Tuesday became the peak day with 3 crashes. The peak crash hour also changed from 2 p.m. with 3 crashes in July 2023 to 8 p.m. with 2 crashes in July 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes in either July 2023 or July 2024. The proportion of crashes resulting in any injury increased from 18.2% (2 injury crashes out of 11 total crashes) in July 2023 to 23.1% (3 injury crashes out of 13 total crashes) in July 2024. Minor injuries remained at 2 in both periods, while possible injuries appeared in July 2024 with 1 incident, not being present in July 2023.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes15.4%
0.0%prior 2
Possible Injury1possible injury crashes7.7%
No Injury10no injury crashes76.9%
11.1%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'No improper driving' increased by 3 crashes (100.0%), from 3 in July 2023 to 6 in July 2024, and became the most frequent factor. 'Failed to yield right of way' decreased by 1 crash (33.3%), from 3 to 2. 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' emerged as a factor in July 2024 with 2 crashes, not being present in July 2023, while 'Driving too fast for conditions', 'Illness', and 'Followed too closely' each appeared once in July 2023 but were not present in July 2024.

Officer-Reported Primary Contributing Cause

No improper driving6 (46.2%)
Failed to yield right of way2 (15.4%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (15.4%)
Exceeded authorized speed limit1 (7.7%)
Failure to keep in proper lane or running off road1 (7.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased by 1, from 8 in July 2023 to 9 in July 2024, while crashes in 'Rain' conditions remained stable at 1 for both periods. Regarding lighting, crashes in 'Daylight' decreased by 2, from 8 to 6, whereas crashes in 'Dark - roadway not lighted' increased by 2, from 2 to 4. Crashes on 'Wet' road surfaces increased by 2, from 1 in July 2023 to 3 in July 2024.

Weather

Clear9 (69.2%)
12.5%prior 8
Rain/Clear2 (15.4%)
Cloudy1 (7.7%)
Rain1 (7.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Weather condition at time of crash

Lighting

Daylight6 (46.2%)
-25.0%prior 8
Dark - roadway not lighted4 (30.8%)
Dark - lighted roadway2 (15.4%)
Dusk1 (7.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Lighting condition field

Road Surface

Dry10 (76.9%)
0.0%prior 10
Wet3 (23.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (23 vehicles)

1
CHEVROLET4 (17.4%)
2
FORD3 (13%)
3
RAM3 (13%)
4
HONDA2 (8.7%)
5
NISSAN2 (8.7%)
6
TOYOTA2 (8.7%)
7
PTRB1 (4.3%)
8
HINO1 (4.3%)
9
BUIC1 (4.3%)
10
FREIGHTLINER1 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Vehicle unit records

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

Sex Distribution (34 persons with recorded sex)

Male21 (61.8%)
90.9%prior 11
Female13 (38.2%)
-7.1%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph zones decreased by 2, from 5 in July 2023 to 3 in July 2024. The number of crashes in 35 mph and 40 mph zones remained stable, with 2 and 3 crashes respectively in both periods. Crashes in 15 mph, 25 mph, and 50 mph zones were observed in July 2024 (1, 2, and 2 crashes respectively) but were not present in July 2023, while 45 mph zones had 1 crash in July 2023 but none in July 2024. No fatal crashes occurred in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-07-01 to 2024-07-31 · 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: 2024-07-01 through 2024-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-07-01 through 2024-07-31 (31 days)
  • Geographic scope: MENDON, MA
  • Total crash records analyzed: 13
  • Total persons involved: 34
  • Total vehicles involved: 23

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: July 2024." Published June 21, 2026. Reporting period: 2024-07-01 to 2024-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/mendon/july-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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Mendon, MA Crash Report — July 2024 | ThatCarHitMe.com