Monthly Traffic Safety Analysis

166 CRASHES IN
HOLYOKE, MA
MAY 2022

All metrics benchmarked againstMay 2021

In May 2022, HOLYOKE, MA experienced 166 total crashes, marking a 9.93% increase from the 151 crashes recorded in May 2021. This period also saw a notable rise in total injuries, increasing from 43 to 68 year-over-year.

166

9.9%was 151

Total Crash Events

0

Persons Killed

68

58.1%was 43

Persons Injured

26

44.4%was 18

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash trends in HOLYOKE, MA show an increase year-over-year, with total crashes rising by 9.93% from 151 in May 2021 to 166 in May 2022. Concurrently, the number of total injuries increased by 58.14%, from 43 to 68, while total fatalities remained at 0 in both periods.

26

Hit-and-Run Crashes — May 2022

44.4% vs prior (18)

Hit-and-run crashes increased year-over-year, with 26 incidents in May 2022 compared to 18 in May 2021. This represents an increase in the hit-and-run rate from 11.9% to 15.7% of all crashes.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

67

Motorists Injured

Prior: 4259.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted between the two periods. In May 2022, the peak day for crashes was Tuesday with 31 incidents, a change from May 2021 where Saturday had the highest count with 25 crashes. The peak hour also shifted from 12 p.m. with 18 crashes in May 2021 to 4 p.m. with 19 crashes in May 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While both periods reported 0 fatalities, the injury landscape changed significantly. Total injuries increased from 43 in May 2021 to 68 in May 2022. Serious injuries (Severity A) decreased from 4 incidents (2.6% share) to 2 incidents (1.2% share), while minor injuries (Severity B) more than doubled from 13 incidents (8.6% share) to 29 incidents (17.5% share) year-over-year.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes1.2%
-50.0%prior 4
Minor Injury29minor injury crashes17.5%
123.1%prior 13
Possible Injury14possible injury crashes8.4%
7.7%prior 13
No Injury103no injury crashes62%
1.0%prior 102

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'No improper driving' increased by 22 incidents, from 43 in May 2021 to 65 in May 2022. 'Other improper action' also saw a substantial rise in count, increasing from 3 to 10 incidents. Conversely, 'Failure to keep in proper lane or running off road' decreased in count from 5 to 2 incidents year-over-year.

Officer-Reported Primary Contributing Cause

No improper driving65 (39.2%)51.2%prior 43
Inattention19 (11.4%)-5.0%prior 20
Failed to yield right of way14 (8.4%)16.7%prior 12
Other improper action10 (6%)
Followed too closely10 (6%)25.0%prior 8
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner6 (3.6%)
Disregarded traffic signs, signals, road markings4 (2.4%)-33.3%prior 6
Distracted3 (1.8%)
Failure to keep in proper lane or running off road2 (1.2%)-60.0%prior 5
Over-correcting/over-steering2 (1.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crash conditions showed a shift towards dry weather. Crashes occurring in 'Clear' weather increased from 96 in May 2021 to 127 in May 2022, and those on 'Dry' road surfaces rose from 119 to 151. Conversely, crashes in 'Rain' decreased from 15 to 7, and on 'Wet' road surfaces dropped from 31 to 14.

Weather

Clear127 (76.5%)
32.3%prior 96
Cloudy9 (5.4%)
-35.7%prior 14
Clear/Other8 (4.8%)
Clear/Cloudy7 (4.2%)
-36.4%prior 11
Rain7 (4.2%)
-53.3%prior 15
Cloudy/Rain3 (1.8%)
-66.7%prior 9
Clear/Unknown2 (1.2%)
Cloudy/Unknown1 (0.6%)
Rain/Cloudy1 (0.6%)
Rain/Unknown1 (0.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Weather condition at time of crash

Lighting

Daylight128 (77.1%)
2.4%prior 125
Dark - lighted roadway27 (16.3%)
58.8%prior 17
Dusk5 (3.0%)
Dawn4 (2.4%)
Dark - roadway not lighted2 (1.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Lighting condition field

Road Surface

Dry151 (91.5%)
26.9%prior 119
Wet14 (8.5%)
-54.8%prior 31

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 294 in May 2021 to 320 in May 2022. Toyota and Honda remained top makes, with Toyota increasing from 39 to 53 vehicles and Honda from 45 to 50. The 35-44 age group saw a notable increase in persons involved, rising from 44 to 61.

Top Vehicle Makes (320 vehicles)

1
TOYOTA53 (16.6%)
35.9%prior 39
2
HONDA50 (15.6%)
11.1%prior 45
3
FORD36 (11.3%)
38.5%prior 26
4
HYUNDAI23 (7.2%)
0.0%prior 23
5
CHEVROLET20 (6.3%)
-13.0%prior 23
6
JEEP12 (3.8%)
9.1%prior 11
7
NISSAN11 (3.4%)
-52.2%prior 23
8
DODGE10 (3.1%)
42.9%prior 7
9
SUBARU9 (2.8%)
-35.7%prior 14
10
ACURA7 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Vehicle unit records

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

Sex Distribution (350 persons with recorded sex)

Male196 (56.0%)
19.5%prior 164
Female154 (44.0%)
13.2%prior 136

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph speed limit zone increased significantly, from 85 in May 2021 to 113 in May 2022. Conversely, crashes in the 35 mph zone decreased from 44 to 23 incidents. Fatalities remained at 0 in all reported speed zones for both periods.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · 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: 2022-05-01 through 2022-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-05-01 through 2022-05-31 (31 days)
  • Geographic scope: HOLYOKE, MA
  • Total crash records analyzed: 166
  • Total persons involved: 423
  • Total vehicles involved: 320

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: May 2022." Published June 21, 2026. Reporting period: 2022-05-01 to 2022-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/holyoke/may-2022-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 — May 2022 | ThatCarHitMe.com