Monthly Traffic Safety Analysis

124 CRASHES IN
HOLYOKE, MA
MARCH 2024

All metrics benchmarked againstMarch 2023

Total crashes in Holyoke decreased from 143 in March 2023 to 124 in March 2024, a 13.3% reduction. Despite this overall decrease, serious injuries (Severity A) increased by 50%, rising from 2 to 3. The number of crashes with no reported injuries also decreased, from 100 to 91.

124

-13.3%was 143

Total Crash Events

0

Persons Killed

41

-18.0%was 50

Persons Injured

23

-17.9%was 28

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. 9 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for Holyoke indicates a declining trend year-over-year, with total crashes decreasing by 13.3% from 143 to 124. Total injuries also saw a notable decrease of 18%, falling from 50 to 41. Fatalities remained at zero in both periods.

23

Hit-and-Run Crashes — March 2024

-17.9% vs prior (28)

The number of hit-and-run crashes decreased from 28 in March 2023 to 23 in March 2024, representing a 17.9% decrease. Concurrently, the hit-and-run rate for all crashes also decreased, moving from 19.6% in the prior period to 18.5% in the current period.

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: 2-50.0%

1

Cyclists Injured

Prior: 0%

39

Motorists Injured

Prior: 48-18.8%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak hour for crashes remained 4 PM in both periods, with 17 crashes reported at this time in both March 2023 and March 2024. The peak day shifted from Saturday in March 2023 to Sunday in March 2024, though both days recorded 24 crashes. The overall distribution of crashes across days of the week and hours of the day remained broadly similar, with weekdays generally seeing more activity than weekends.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both March 2023 and March 2024. Total injuries decreased from 50 to 41, an 18% reduction year-over-year. However, serious injuries (Severity A) increased by 50%, rising from 2 in March 2023 to 3 in March 2024. Minor injuries (Severity B) decreased from 17 to 15, and possible injuries (Severity C) decreased significantly from 12 to 6.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes2.4%
50.0%prior 2
Minor Injury15minor injury crashes12.1%
-11.8%prior 17
Possible Injury6possible injury crashes4.8%
-50.0%prior 12
No Injury91no injury crashes73.4%
-9.0%prior 100

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, 'No improper driving,' decreased from 54 crashes in March 2023 to 49 in March 2024, a 9.3% reduction in count. 'Inattention' crashes decreased by 31.8%, from 22 to 15, while 'Failed to yield right of way' crashes increased by 42.9%, from 7 to 10. 'Followed too closely' crashes saw a substantial increase of 133.3%, rising from 3 to 7, and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' crashes increased by 200%, from 2 to 6.

Officer-Reported Primary Contributing Cause

No improper driving49 (39.5%)-9.3%prior 54
Inattention15 (12.1%)-31.8%prior 22
Failed to yield right of way10 (8.1%)42.9%prior 7
Followed too closely7 (5.6%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner6 (4.8%)
Disregarded traffic signs, signals, road markings5 (4%)
Failure to keep in proper lane or running off road4 (3.2%)
Over-correcting/over-steering3 (2.4%)
Driving too fast for conditions2 (1.6%)
Made an improper turn1 (0.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions decreased from 95 in March 2023 to 54 in March 2024, a 43.1% reduction. Conversely, crashes in rainy conditions increased by 40%, from 10 to 14. On road surfaces, dry condition crashes decreased from 110 to 90 (an 18.2% decrease), while wet condition crashes increased significantly by 82.4%, from 17 to 31. Snow and slush conditions, which accounted for 15 crashes in March 2023, were not reported in March 2024, while one crash occurred on ice in March 2024.

Weather

Clear54 (43.9%)
-43.2%prior 95
Rain14 (11.4%)
40.0%prior 10
Clear/Other14 (11.4%)
75.0%prior 8
Cloudy13 (10.6%)
160.0%prior 5
Cloudy/Rain7 (5.7%)
Clear/Cloudy6 (4.9%)
20.0%prior 5
Clear/Unknown6 (4.9%)
Clear/Rain3 (2.4%)
Rain/Cloudy1 (0.8%)
Rain/Other1 (0.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Weather condition at time of crash

Lighting

Daylight89 (72.4%)
-11.0%prior 100
Dark - lighted roadway29 (23.6%)
-6.5%prior 31
Dusk3 (2.4%)
Dark - unknown roadway lighting1 (0.8%)
Dawn1 (0.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Lighting condition field

Road Surface

Dry90 (73.8%)
-18.2%prior 110
Wet31 (25.4%)
82.4%prior 17
Ice1 (0.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 276 in March 2023 to 239 in March 2024. Toyota, the top make in March 2023 with 47 vehicles, saw a decrease to 33 vehicles, while Honda decreased from 44 to 36. Among persons involved, the 16-20 age group saw an increase from 27 to 34, and the 26-34 age group increased from 59 to 66. Conversely, the 21-25 age group decreased from 37 to 31, and the 35-44 age group decreased from 50 to 42.

Top Vehicle Makes (239 vehicles)

1
HONDA36 (15.1%)
-18.2%prior 44
2
TOYOTA33 (13.8%)
-29.8%prior 47
3
FORD22 (9.2%)
-8.3%prior 24
4
CHEVROLET21 (8.8%)
5.0%prior 20
5
HYUNDAI20 (8.4%)
53.8%prior 13
6
NISSAN14 (5.9%)
-48.1%prior 27
7
ACURA10 (4.2%)
8
JEEP8 (3.3%)
-27.3%prior 11
9
KIA6 (2.5%)
-33.3%prior 9
10
GMC6 (2.5%)
0.0%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Vehicle unit records

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

Sex Distribution (276 persons with recorded sex)

Male140 (50.7%)
-13.6%prior 162
Female136 (49.3%)
4.6%prior 130

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · Person-level records linked to crash events

Speed Limit Zones

No fatalities were reported in any speed zone during either period. Crashes occurring in the 25 mph speed zone decreased from 94 in March 2023 to 80 in March 2024. Crashes in the 35 mph zone also decreased from 27 to 14. In contrast, crashes in the 65 mph speed zone more than doubled, increasing from 7 to 15.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-03-01 to 2024-03-31 · 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: 2024-03-01 through 2024-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-03-01 through 2024-03-31 (31 days)
  • Geographic scope: HOLYOKE, MA
  • Total crash records analyzed: 124
  • Total persons involved: 326
  • Total vehicles involved: 239

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: March 2024." Published June 21, 2026. Reporting period: 2024-03-01 to 2024-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/holyoke/march-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 — March 2024 | ThatCarHitMe.com