Monthly Traffic Safety Analysis

18 CRASHES IN
AMHERST, MA
AUGUST 2024

All metrics benchmarked againstAugust 2023

In August 2024, Amherst experienced 18 crashes, a decrease of 18.2% compared to the 22 crashes in August 2023. The most notable year-over-year shift was a substantial 64.3% reduction in total injuries, from 14 to 5, alongside an increase in vulnerable user crashes.

18

-18.2%was 22

Total Crash Events

0

Persons Killed

5

-64.3%was 14

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 · 2024-08-01 to 2024-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Amherst decreased year-over-year, with total crashes falling by 18.2% from 22 in August 2023 to 18 in August 2024. This reduction was accompanied by a significant 64.3% decrease in total injuries, from 14 to 5, while fatalities remained at zero in both periods.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

2

Cyclists Injured

Prior: 0%

2

Motorists Injured

Prior: 14-85.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal pattern of crashes shifted year-over-year, with the peak day moving from Tuesday with 6 crashes in August 2023 to Thursday with 5 crashes in August 2024. The peak crash hour also changed, from 6 PM with 4 crashes in August 2023 to 8 AM with 4 crashes in August 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Total injuries saw a significant decrease from 14 in August 2023 to 5 in August 2024, a 64.3% reduction. While there were no fatal crashes in either period, the proportion of crashes involving any injury decreased from 36.4% (8 out of 22) in the prior period to 27.8% (5 out of 18) in the current period.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes22.2%
33.3%prior 3
Possible Injury1possible injury crashes5.6%
-75.0%prior 4
No Injury13no injury crashes72.2%
-7.1%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Most severe injury per crash record

Top Contributing Factors

The count of 'No improper driving' as a contributing factor increased from 2 in August 2023 to 7 in August 2024. 'Inattention' also saw an increase in count from 3 to 5, while 'Other improper action' remained constant at 2 crashes. Factors like 'Disregarded traffic signs, signals, road markings' and 'Exceeded authorized speed limit', which accounted for 3 and 2 crashes respectively in the prior period, were not present in the current period's top factors.

Officer-Reported Primary Contributing Cause

No improper driving7 (38.9%)
Inattention5 (27.8%)
Other improper action2 (11.1%)
Fatigued/asleep1 (5.6%)
Distracted1 (5.6%)
Failed to yield right of way1 (5.6%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (5.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions remained consistent at 15 in both August 2023 and August 2024. There was a decrease in crashes during 'Cloudy' weather, from 5 to 2, and during 'Dusk' lighting conditions, from 2 to 1. Data for road surface conditions was not available for the current period, preventing a comparison.

Weather

Clear15 (88.2%)
0.0%prior 15
Cloudy2 (11.8%)
-60.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Weather condition at time of crash

Lighting

Daylight15 (88.2%)
-11.8%prior 17
Dark - roadway not lighted1 (5.9%)
Dusk1 (5.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (27 vehicles)

1
HONDA4 (14.8%)
-20.0%prior 5
2
TOYOTA4 (14.8%)
-33.3%prior 6
3
FORD3 (11.1%)
-40.0%prior 5
4
JEEP2 (7.4%)
5
HYUNDAI1 (3.7%)
6
ICBU1 (3.7%)
7
ACURA1 (3.7%)
8
LEXUS1 (3.7%)
9
MITS1 (3.7%)
10
NFLY1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Vehicle unit records

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

Sex Distribution (28 persons with recorded sex)

Male18 (64.3%)
-37.9%prior 29
Female10 (35.7%)
-63.0%prior 27

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph zones decreased from 5 to 4, and in 30 mph zones from 8 to 4, year-over-year. Conversely, crashes in 35 mph zones slightly increased from 7 to 8. The current period saw crashes reported in 50 mph (1 crash) and 55 mph (1 crash) zones, which were not present in the prior period, while 40 mph zones (2 crashes in prior) were absent in the current data.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · 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: 2024-08-01 through 2024-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-08-01 through 2024-08-31 (31 days)
  • Geographic scope: AMHERST, MA
  • Total crash records analyzed: 18
  • Total persons involved: 30
  • Total vehicles involved: 27

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). "AMHERST, MA Crash Intelligence Report: August 2024." Published June 21, 2026. Reporting period: 2024-08-01 to 2024-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/amherst/august-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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Amherst, MA Crash Report — August 2024 | ThatCarHitMe.com