ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · HOLYOKE, MA · 2022
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/2022-annual-report
Yearly Traffic Safety Analysis
1,586 CRASHES IN
HOLYOKE, MA
2022
In 2022, Holyoke recorded 1,586 traffic crashes, a 4.6% decrease from the 1,663 crashes reported in 2021. Despite the overall decline in collisions, the number of crashes involving pedestrians increased by 87.5%, rising from 16 in the prior year to 30 in the current year.
1,586
▼ -4.6%was 1,663
Total Crash Events
7
▼ -22.2%was 9
Persons Killed
527
▲ 13.3%was 465
Persons Injured
214
▲ 23.0%was 174
Hit-and-Run Crashes
Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (7) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 126 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crashes in Holyoke decreased by 4.6% from 1,663 in 2021 to 1,586 in 2022. While the total number of collisions fell, the number of people injured rose by 13.3% from 465 to 527. The number of fatalities saw a decrease from 9 in 2021 to 7 in 2022.
214
Hit-and-Run Crashes — 2022
▲ 23.0% vs prior (174)
Hit-and-run incidents increased in both absolute numbers and as a proportion of total crashes. The count of hit-and-run crashes rose by 23.0%, from 174 in 2021 to 214 in 2022. As a result, the hit-and-run rate increased from 10.5% of all crashes in the prior year to 13.5% in the current year.
Vulnerable Road User Casualties
2
Pedestrians Killed
0
Cyclists Killed
5
Motorists Killed
23
Pedestrians Injured
10
Cyclists Injured
494
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed a slight shift year-over-year. The peak day for crashes moved from Thursday in 2021, which saw 285 incidents, to Friday in 2022, which also recorded 285 incidents. The peak hour for collisions remained consistent across both periods, with the 3 p.m. hour having the most incidents in both 2021 (148 crashes) and 2022 (134 crashes).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Although total crashes decreased, the proportion of severe incidents shifted. The share of crashes resulting in any level of injury (Serious, Minor, or Possible) increased from 19.8% of total crashes in 2021 to 22.8% in 2022. Concurrently, the fatal crash rate rose from 0.30% to 0.44%, even as the absolute number of persons killed in crashes declined from 9 to 7.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record
Top Contributing Factors
The top three contributing factors remained consistent in their ranking across both years: 'No improper driving,' 'Inattention,' and 'Failed to yield right of way.' However, the count of crashes attributed to 'No improper driving' increased by 24.5% from 473 to 589. In contrast, crashes citing 'Inattention' as a factor decreased by a count of 33, from 233 incidents in 2021 to 200 in 2022.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in both periods predominantly occurred under favorable conditions, with proportions remaining largely stable. The share of collisions happening in daylight was identical at 71.1% for both 2021 and 2022. Similarly, the proportion of crashes on dry road surfaces saw a minor change, increasing from 79.7% in 2021 to 83.1% in 2022.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The vehicle makes most frequently involved in crashes saw a change at the top of the rankings. In 2022, Honda (471 vehicles) became the most common make, surpassing Toyota (456 vehicles), which had been the top make in 2021 with 438 vehicles. Regarding persons involved, the 26-34 age group remained the largest demographic in both years, but its share of total persons decreased from 19.2% in 2021 to 17.0% in 2022.
Top Vehicle Makes (3,068 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
670 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (3,328 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · 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 971 in 2021 to 1,003 in 2022. There was a notable concentration of fatal crashes in this zone in the recent period; six of the seven fatalities in 2022 occurred in 25 mph zones. This contrasts with 2021, when fatal crashes were more distributed, with two in 25 mph zones, one in a 35 mph zone, and two in a 65 mph zone.
Fatal crashes by zone: 25 mph: 6 of 1,003 (0.598%) · 30 mph: 1 of 47 (2.128%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: HOLYOKE, MA
- Total crash records analyzed: 1,586
- Total persons involved: 4,010
- Total vehicles involved: 3,068
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: 2022." Published June 21, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/holyoke/2022-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: 2022-01-01 – 2022-12-31
Generated: June 21, 2026 · All rights reserved