Monthly Traffic Safety Analysis

14 CRASHES IN
HOLYOKE, MA
APRIL 2024

All metrics benchmarked againstApril 2023

In April 2024, Holyoke experienced 14 total crashes, a significant decrease of 87.4% compared to the 111 crashes reported in April 2023. This substantial reduction in overall crash volume represents the single most notable year-over-year shift in the data.

14

▼ -87.4%was 111

Total Crash Events

0

Persons Killed

4

▼ -89.7%was 39

Persons Injured

2

▼ -87.5%was 16

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 · 2024-04-01 to 2024-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a significant decrease in crash incidents year-over-year. Total crashes fell from 111 in April 2023 to 14 in April 2024, marking an 87.4% reduction in the number of crashes.

2

Hit-and-Run Crashes — April 2024

▼ -87.5% vs prior (16)

The number of hit-and-run crashes decreased from 16 in April 2023 to 2 in April 2024. Despite this considerable reduction in count, the hit-and-run rate remained nearly stable, decreasing only marginally from 14.4% to 14.3% of total crashes.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

4

Motorists Injured

Prior: 36↓-88.9%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · 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 April 2023, with 19 crashes, to Wednesday in April 2024, with 5 crashes. Similarly, the peak crash hour changed from 10 AM (14 crashes) in the prior period to 6 PM (4 crashes) in the current period, indicating a shift in the times when crashes are most frequent.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The total number of injuries decreased from 39 in April 2023 to 4 in April 2024, with no fatalities reported in either period. While both periods recorded 1 serious injury crash, its proportion of total crashes increased from 0.9% in the prior year to 7.1% in the current year. Minor injury crashes decreased from 18 to 2, maintaining a similar share of total crashes at 16.2% and 14.3% respectively.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes7.1%
→0.0%prior 1
Minor Injury2minor injury crashes14.3%
↓-88.9%prior 18
No Injury11no injury crashes78.6%
↓-85.3%prior 75

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Most severe injury per crash record

Top Contributing Factors

Several contributing factors saw notable decreases: 'No improper driving' dropped from 46 crashes in April 2023 to 4 in April 2024, 'Inattention' decreased from 7 crashes to 1, and 'Followed too closely' also fell from 7 crashes to 1. Conversely, 'Driving too fast for conditions' increased from 1 crash to 2 crashes, and 'Exceeded authorized speed limit' emerged as a factor in April 2024 with 3 crashes, not being a top factor in the prior period.

Officer-Reported Primary Contributing Cause

No improper driving4 (28.6%)↓-91.3%prior 46
Exceeded authorized speed limit3 (21.4%)
Driving too fast for conditions2 (14.3%)
Inattention1 (7.1%)↓-85.7%prior 7
Followed too closely1 (7.1%)↓-85.7%prior 7
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (7.1%)↓-80.0%prior 5
Over-correcting/over-steering1 (7.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

There was a significant shift in reported weather conditions, with crashes occurring in 'Clear' weather dropping from 72 in April 2023 to 4 in April 2024. Crashes on 'Dry' road surfaces also decreased substantially from 96 to 5. Additionally, 'Ice' and 'Slush' road conditions, which were not prominent in the prior period, accounted for 4 and 2 crashes respectively in April 2024, indicating a change in the types of adverse conditions present.

Weather

Clear4 (33.3%)
↓-94.4%prior 72
Sleet, hail (freezing rain or drizzle)3 (25.0%)
Rain2 (16.7%)
↓-71.4%prior 7
Rain/Sleet, hail (freezing rain or drizzle)1 (8.3%)
Cloudy1 (8.3%)
↓-92.9%prior 14
Snow/Sleet, hail (freezing rain or drizzle)1 (8.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Weather condition at time of crash

Lighting

Dark - lighted roadway5 (35.7%)
↓-58.3%prior 12
Daylight5 (35.7%)
↓-94.4%prior 89
Dark - roadway not lighted3 (21.4%)
Dusk1 (7.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Lighting condition field

Road Surface

Dry5 (35.7%)
↓-94.8%prior 96
Ice4 (28.6%)
Wet3 (21.4%)
↓-78.6%prior 14
Slush2 (14.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (22 vehicles)

1
HONDA2 (9.1%)
↓-93.8%prior 32
2
SUBARU2 (9.1%)
3
TOYOTA2 (9.1%)
↓-94.1%prior 34
4
CHEVROLET2 (9.1%)
↓-80.0%prior 10
5
FORD2 (9.1%)
↓-92.0%prior 25
6
NISSAN1 (4.5%)
↓-94.4%prior 18
7
PETERBILT1 (4.5%)
8
VOLKSWAGEN1 (4.5%)
9
BMW1 (4.5%)
10
VOLVO1 (4.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Vehicle unit records

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

Sex Distribution (27 persons with recorded sex)

Male22 (81.5%)
↓-82.5%prior 126
Female5 (18.5%)
↓-94.9%prior 98

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 MPH zones decreased significantly from 72 in April 2023 to 1 in April 2024. Crashes in 65 MPH zones also saw a reduction, from 12 in the prior period to 10 in the current period. The distribution of crashes across speed zones in April 2024 shows a higher concentration in 65 MPH zones compared to a broader range of lower speed limits in April 2023, with no fatalities recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-04-01 to 2024-04-30 · 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: 2024-04-01 through 2024-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-04-01 through 2024-04-30 (30 days)
  • Geographic scope: HOLYOKE, MA
  • Total crash records analyzed: 14
  • Total persons involved: 30
  • Total vehicles involved: 22

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). "HOLYOKE, MA Crash Intelligence Report: April 2024." Published June 21, 2026. Reporting period: 2024-04-01 to 2024-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/holyoke/april-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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Holyoke, MA Crash Report — April 2024 | ThatCarHitMe.com