ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · HOLYOKE, MA · 2023
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/2023-annual-report
Yearly Traffic Safety Analysis
1,700 CRASHES IN
HOLYOKE, MA
2023
In Holyoke, total traffic crashes increased by 7.2% from 1,586 in 2022 to 1,700 in 2023. Despite the rise in overall collisions, the number of fatalities decreased from 7 to 3. The most notable year-over-year shift was a 75% increase in crashes resulting in serious injuries, which grew from 20 incidents in 2022 to 35 in 2023.
1,700
▲ 7.2%was 1,586
Total Crash Events
3
▼ -57.1%was 7
Persons Killed
609
▲ 15.6%was 527
Persons Injured
280
▲ 30.8%was 214
Hit-and-Run Crashes
Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 117 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend shows an increase in traffic incidents, with total crashes rising from 1,586 to 1,700 year-over-year. The number of people injured also increased by 15.6%, from 527 to 609. In contrast, the number of people killed in crashes decreased from 7 in 2022 to 3 in 2023.
280
Hit-and-Run Crashes — 2023
▲ 30.8% vs prior (214)
Hit-and-run crashes increased in both absolute numbers and as a percentage of total crashes. The count rose from 214 in 2022 to 280 in 2023, representing a 30.8% increase. Consequently, the hit-and-run rate climbed from 13.5% of all crashes in 2022 to 16.5% in 2023.
Vulnerable Road User Casualties
1
Pedestrians Killed
1
Cyclists Killed
1
Motorists Killed
0
Other Killed
24
Pedestrians Injured
12
Cyclists Injured
569
Motorists Injured
4
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak day for crashes was consistent, remaining Friday in both 2022 (285 crashes) and 2023 (284 crashes). However, the peak hour shifted later in the day, moving from the 3 p.m. hour in 2022 (134 crashes) to the 4 p.m. hour in 2023 (170 crashes). This suggests a later afternoon peak for collisions in the more recent period.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes increased, the number of fatal crashes fell from 7 in 2022 to 3 in 2023. Conversely, crashes involving serious injuries rose significantly, from 20 to 35 incidents. The proportion of crashes resulting in any level of injury (fatal, serious, minor, or possible) remained stable at approximately 23.2% for both years.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors showed some shifts in volume between the two periods. While "Inattention" remained a top cause, its associated crash count fell from 200 in 2022 to 159 in 2023. In contrast, crashes attributed to "Distracted" driving more than doubled in count, from 25 to 53, and those involving "Operating vehicle in erratic, reckless, careless, negligent or aggressive manner" increased from 47 to 53.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions remained largely consistent year-over-year. In 2023, 80.1% of crashes occurred on dry roads, compared to 83.1% in 2022. Crashes in daylight accounted for 69.9% of incidents in 2023, a slight decrease from 71.1% in 2022. The proportion of crashes occurring during adverse weather like rain or snow saw minimal change between the two periods.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field
Vehicles & Demographics
The most common vehicle makes involved in crashes remained stable, with Toyota and Honda being the top two in both years; Toyota took the lead from Honda in 2023 with 478 crashes. The age distribution of persons involved was also consistent, with the 26-34 age group representing the largest cohort in both 2022 (683 persons) and 2023 (714 persons).
Top Vehicle Makes (3,286 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records
668 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (3,573 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events
Speed Limit Zones
The 25 mph speed zone was the site of the most crashes in both years, with incidents in this zone increasing from 1,003 in 2022 to 1,165 in 2023. All 3 fatal crashes in 2023 occurred in 25 mph zones. This follows a similar pattern from 2022, where 6 of the 7 fatal crashes occurred in 25 mph zones.
Fatal crashes by zone: 25 mph: 3 of 1,165 (0.258%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-12-31 (365 days)
- Geographic scope: HOLYOKE, MA
- Total crash records analyzed: 1,700
- Total persons involved: 4,283
- Total vehicles involved: 3,286
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: 2023." Published June 21, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/holyoke/2023-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: 2023-01-01 – 2023-12-31
Generated: June 21, 2026 · All rights reserved