ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · HOLYOKE, MA · 2024
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/holyoke/2024-annual-report
Yearly Traffic Safety Analysis
956 CRASHES IN
HOLYOKE, MA
2024
In 2024, Holyoke recorded 956 total vehicle crashes, a 43.8% decrease from the 1,700 crashes reported in 2023. This significant drop in overall crash volume was accompanied by a corresponding 48.3% reduction in total injuries, which fell from 609 to 315 year-over-year. Despite the overall decline in collisions, the number of fatalities remained low, decreasing from 3 in 2023 to 2 in 2024.
956
▼ -43.8%was 1,700
Total Crash Events
2
▼ -33.3%was 3
Persons Killed
315
▼ -48.3%was 609
Persons Injured
131
▼ -53.2%was 280
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 44 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year data indicates a significant downward trend in traffic crashes in Holyoke. Total crashes fell by 43.8%, from 1,700 in 2023 to 956 in 2024. This trend extended to crash outcomes, with total injuries decreasing by 48.3% and fatalities declining from 3 to 2.
131
Hit-and-Run Crashes — 2024
▼ -53.2% vs prior (280)
The number of hit-and-run crashes saw a substantial decrease, falling 53.2% from 280 incidents in 2023 to 131 in 2024. The hit-and-run rate, which measures the percentage of all crashes that are hit-and-runs, also trended downward. It decreased from 16.5% in the prior year to 13.7% in the current year, indicating that hit-and-runs became a smaller proportion of total crashes.
Vulnerable Road User Casualties
2
Pedestrians Killed
0
Cyclists Killed
0
Motorists Killed
0
Other Killed
11
Pedestrians Injured
5
Cyclists Injured
294
Motorists Injured
5
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes shifted between the two periods. In 2024, the peak day for crashes was Monday with 154 incidents, a change from Friday, which saw 284 incidents in the prior year. The busiest hour for collisions also shifted slightly earlier, moving from 4 p.m. in 2023 (170 crashes) to 3 p.m. in 2024 (87 crashes).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While the total number of fatal crashes decreased from 3 to 2, the fatal crash rate per 100 crashes saw a slight increase from 0.18 in 2023 to 0.21 in 2024 due to the lower overall crash volume. The proportion of crashes resulting in any injury remained stable at 23.1% in both years. The share of crashes involving a serious injury increased slightly from 2.1% to 2.3% of all crashes.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors remained consistent, though their counts decreased significantly year-over-year. Crashes attributed to 'Inattention' fell by 39.0% in count, from 159 to 97, causing it to drop from the second to the third most common factor. 'Failed to yield right of way' became the second-ranked factor, even as its count decreased from 133 to 108. The share of crashes where 'No improper driving' was noted decreased from a 41.8% share in 2023 to a 33.4% share in 2024.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The proportion of crashes occurring in daylight remained stable, accounting for 68.5% of crashes in 2024 compared to 69.9% in 2023. Crashes on dry roads represented the majority in both years, though their share of total crashes decreased from 80.1% to 77.7%. Notably, the proportion of crashes on adverse road surfaces like snow, ice, or slush increased from 3.1% of all crashes in 2023 to 7.2% in 2024.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The ranking of the most common vehicle makes involved in crashes shifted, with Honda (265 vehicles) overtaking Toyota (259 vehicles) for the top spot in 2024; in the prior year, Toyota was first with 478 vehicles. The total number of vehicles involved in crashes decreased from 3,286 to 1,807. The age demographics of persons involved in crashes also saw a change, with the proportion of individuals aged 65 and older increasing from 8.0% of all persons in 2023 to 9.6% in 2024.
Top Vehicle Makes (1,807 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
264 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (2,110 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes in 25 mph speed limit zones were the most common in both years, though their share of total crashes decreased from 68.5% in 2023 to 57.0% in 2024. Conversely, the proportion of crashes occurring in 65 mph zones increased from 8.2% to 13.0% year-over-year. All recorded fatal crashes in both periods occurred in 25 mph zones, with 2 fatalities in 2024 and 3 in 2023.
Fatal crashes by zone: 25 mph: 2 of 545 (0.367%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: HOLYOKE, MA
- Total crash records analyzed: 956
- Total persons involved: 2,388
- Total vehicles involved: 1,807
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: 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/holyoke/2024-annual-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2024-01-01 – 2024-12-31
Generated: June 21, 2026 · All rights reserved