Monthly Traffic Safety Analysis

167 CRASHES IN
HOLYOKE, MA
MAY 2023

All metrics benchmarked againstMay 2022

In May 2023, Holyoke experienced 167 total crashes, a slight increase from the 166 crashes recorded in May 2022. Total injuries decreased by 11.8% from 68 to 60 year-over-year. The most notable shift was a 150% increase in serious injury crashes, rising from 2 in May 2022 to 5 in May 2023.

167

0.6%was 166

Total Crash Events

0

Persons Killed

60

-11.8%was 68

Persons Injured

32

23.1%was 26

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in Holyoke remained relatively stable year-over-year, increasing by 0.6% from 166 to 167. Despite this slight increase in total crashes, the number of total injuries decreased by 11.8%, from 68 in May 2022 to 60 in May 2023.

32

Hit-and-Run Crashes — May 2023

23.1% vs prior (26)

Hit-and-run crashes increased by 6 (23.1%), from 26 in May 2022 to 32 in May 2023. The hit-and-run rate also increased from 15.7% in May 2022 to 19.2% in May 2023, representing a 3.5 percentage point rise.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

3

Pedestrians Injured

Prior: 1200.0%

2

Cyclists Injured

Prior: 0%

54

Motorists Injured

Prior: 67-19.4%

1

Other Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Tuesday in May 2022 (31 crashes) to Thursday in May 2023 (31 crashes). The peak hour for crashes remained 4 p.m. in both periods, with 19 crashes in May 2022 and 18 crashes in May 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities in either period. Serious injury crashes (Severity A) increased by 150%, from 2 crashes (1.2% share) in May 2022 to 5 crashes (3% share) in May 2023. Conversely, minor injury crashes (Severity B) decreased by 44.8%, from 29 crashes (17.5% share) in May 2022 to 16 crashes (9.6% share) in May 2023.

Outcome by Severity (Crash Events)

Serious Injury5serious injury crashes3%
150.0%prior 2
Minor Injury16minor injury crashes9.6%
-44.8%prior 29
Possible Injury16possible injury crashes9.6%
14.3%prior 14
No Injury120no injury crashes71.9%
16.5%prior 103

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Most severe injury per crash record

Top Contributing Factors

The 'No improper driving' factor increased by 19 crashes (29.2%) from 65 in May 2022 to 84 in May 2023. 'Inattention' decreased by 5 crashes (26.3%) from 19 to 14, while 'Followed too closely' saw a significant decrease of 9 crashes (90%), from 10 to 1. 'Failure to keep in proper lane or running off road' increased by 5 crashes (250%), from 2 to 7.

Officer-Reported Primary Contributing Cause

No improper driving84 (50.3%)29.2%prior 65
Inattention14 (8.4%)-26.3%prior 19
Failed to yield right of way13 (7.8%)-7.1%prior 14
Failure to keep in proper lane or running off road7 (4.2%)
Disregarded traffic signs, signals, road markings5 (3%)
Over-correcting/over-steering3 (1.8%)
Distracted3 (1.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (1.2%)-66.7%prior 6
Other improper action2 (1.2%)-80.0%prior 10
Driving too fast for conditions1 (0.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 127 in May 2022 to 135 in May 2023. Crashes in 'Cloudy' conditions decreased from 9 to 4, and 'Rain' conditions decreased from 7 to 5. The number of crashes on 'Dry' road surfaces increased from 151 to 154, while those on 'Wet' surfaces decreased from 14 to 11.

Weather

Clear135 (81.3%)
6.3%prior 127
Clear/Other9 (5.4%)
12.5%prior 8
Clear/Unknown5 (3.0%)
Rain5 (3.0%)
-28.6%prior 7
Cloudy4 (2.4%)
-55.6%prior 9
Cloudy/Rain3 (1.8%)
Clear/Cloudy2 (1.2%)
-71.4%prior 7
Clear/Rain1 (0.6%)
Other/Unknown1 (0.6%)
Rain/Cloudy1 (0.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Weather condition at time of crash

Lighting

Daylight135 (80.8%)
5.5%prior 128
Dark - lighted roadway21 (12.6%)
-22.2%prior 27
Dusk7 (4.2%)
40.0%prior 5
Dark - roadway not lighted3 (1.8%)
Dark - unknown roadway lighting1 (0.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Lighting condition field

Road Surface

Dry154 (93.3%)
2.0%prior 151
Wet11 (6.7%)
-21.4%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased slightly from 320 in May 2022 to 324 in May 2023. Toyota remained the top make with 53 vehicles in both periods. Nissan vehicles involved in crashes saw a substantial increase from 11 in May 2022 to 28 in May 2023, while Ford vehicles decreased from 36 to 22.

Top Vehicle Makes (324 vehicles)

1
TOYOTA53 (16.4%)
0.0%prior 53
2
HONDA47 (14.5%)
-6.0%prior 50
3
NISSAN28 (8.6%)
154.5%prior 11
4
FORD22 (6.8%)
-38.9%prior 36
5
HYUNDAI21 (6.5%)
-8.7%prior 23
6
CHEVROLET17 (5.2%)
-15.0%prior 20
7
SUBARU10 (3.1%)
11.1%prior 9
8
JEEP9 (2.8%)
-25.0%prior 12
9
ACURA9 (2.8%)
28.6%prior 7
10
BMW7 (2.2%)
16.7%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Vehicle unit records

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

Sex Distribution (324 persons with recorded sex)

Male170 (52.5%)
-13.3%prior 196
Female154 (47.5%)
0.0%prior 154

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 25 mph speed zones increased by 14 (12.4%), from 113 in May 2022 to 127 in May 2023. Conversely, crashes in 35 mph speed zones decreased by 10 (43.5%), from 23 to 13. There were no fatalities recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · 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: 2023-05-01 through 2023-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-05-01 through 2023-05-31 (31 days)
  • Geographic scope: HOLYOKE, MA
  • Total crash records analyzed: 167
  • Total persons involved: 412
  • Total vehicles involved: 324

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 2023." Published June 21, 2026. Reporting period: 2023-05-01 to 2023-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/holyoke/may-2023-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 2023 | ThatCarHitMe.com