Monthly Traffic Safety Analysis

152 CRASHES IN
CHICOPEE, MA
FEBRUARY 2024

All metrics benchmarked againstFebruary 2023

In February 2024, Chicopee experienced 152 total crashes, an increase of 13.4% compared to 134 crashes in February 2023. A significant positive shift was observed in crash fatalities, which decreased from 2 in the prior year to 0 in the current period. Overall injuries also rose by 20%, from 45 to 54.

152

13.4%was 134

Total Crash Events

0

-100.0%was 2

Persons Killed

54

20.0%was 45

Persons Injured

20

-16.7%was 24

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates an increase in total crashes, rising from 134 to 152, representing a 13.4% increase year-over-year. Despite this rise in crash incidents, fatalities saw a positive trend, decreasing from 2 to 0. Injuries, however, increased by 20%, from 45 to 54.

20

Hit-and-Run Crashes — February 2024

-16.7% vs prior (24)

Hit-and-run crashes decreased by 16.7%, from 24 incidents in the prior period to 20 incidents in the current period. The hit-and-run rate also trended downward, decreasing from 17.9% to 13.2% of all crashes.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 1-100.0%

0

Motorists Killed

Prior: 1-100.0%

3

Pedestrians Injured

Prior: 250.0%

51

Motorists Injured

Prior: 4318.6%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · 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 Wednesday with 28 crashes in the prior period to Thursday with 36 crashes in the current period. Similarly, the peak hour for crashes moved from 2 p.m. with 13 crashes in the prior period to 3 p.m. with 21 crashes in the current period. Crashes on Saturdays increased from 9 to 17, while crashes on Sundays decreased from 16 to 10.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes decreased from 2 in the prior period to 0 in the current period, eliminating the 1.49% fatal crash rate. The number of minor injury crashes (severity B) increased significantly from 9 (6.7% of crashes) to 21 (13.8% of crashes). Conversely, possible injury crashes (severity C) decreased from 15 (11.2% of crashes) to 11 (7.2% of crashes).

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes2%
0.0%prior 3
Minor Injury21minor injury crashes13.8%
133.3%prior 9
Possible Injury11possible injury crashes7.2%
-26.7%prior 15
No Injury113no injury crashes74.3%
24.2%prior 91

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Most severe injury per crash record

Top Contributing Factors

Several contributing factors saw notable shifts year-over-year. 'Failed to yield right of way' crashes increased by 200%, from 7 to 21 incidents. 'Inattention' crashes rose by 47.1%, from 17 to 25 incidents. Meanwhile, 'No improper driving' decreased by 21.6%, from 37 to 29 incidents, and 'Disregarded traffic signs, signals, road markings' decreased by 50%, from 8 to 4 incidents.

Officer-Reported Primary Contributing Cause

No improper driving29 (19.1%)-21.6%prior 37
Inattention25 (16.4%)47.1%prior 17
Failed to yield right of way21 (13.8%)200.0%prior 7
Followed too closely17 (11.2%)41.7%prior 12
Failure to keep in proper lane or running off road12 (7.9%)20.0%prior 10
Other improper action10 (6.6%)100.0%prior 5
Distracted5 (3.3%)
Disregarded traffic signs, signals, road markings4 (2.6%)-50.0%prior 8
Glare3 (2%)
Visibility obstructed3 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 70 to 113, while those in 'Cloudy' conditions decreased from 21 to 10. The proportion of crashes on 'Dry' road surfaces significantly increased from 70.9% (95 crashes) to 90.1% (137 crashes). Crashes on 'Snow' and 'Ice' road surfaces, which accounted for 12 crashes each in the prior period, were nearly absent in the current period, with only 1 crash on snow and none on ice.

Weather

Clear113 (75.8%)
61.4%prior 70
Rain10 (6.7%)
Cloudy10 (6.7%)
-52.4%prior 21
Cloudy/Unknown4 (2.7%)
Clear/Cloudy3 (2.0%)
-50.0%prior 6
Clear/Unknown3 (2.0%)
Clear/Other2 (1.3%)
Cloudy/Rain1 (0.7%)
-80.0%prior 5
Cloudy/Other1 (0.7%)
Snow1 (0.7%)
-80.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Weather condition at time of crash

Lighting

Daylight98 (64.9%)
15.3%prior 85
Dark - lighted roadway43 (28.5%)
26.5%prior 34
Dusk6 (4.0%)
Dark - roadway not lighted2 (1.3%)
Dawn2 (1.3%)
-75.0%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Lighting condition field

Road Surface

Dry137 (90.7%)
44.2%prior 95
Wet13 (8.6%)
8.3%prior 12
Snow1 (0.7%)
-91.7%prior 12

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Road surface condition field

Vehicles & Demographics

The age distribution of persons involved in crashes showed an increase in most adult age groups, with the 35-44 age group seeing the largest rise from 34 to 58 persons. Conversely, the 0-15 age group experienced a decrease from 19 to 11 persons. Among vehicle makes, HONDA saw a substantial increase in representation, rising from 19 vehicles in the prior period to 47 vehicles in the current period, while JEEP decreased from 13 to 7 vehicles.

Top Vehicle Makes (298 vehicles)

1
TOYOTA50 (16.8%)
19.0%prior 42
2
HONDA47 (15.8%)
147.4%prior 19
3
FORD28 (9.4%)
7.7%prior 26
4
HYUNDAI24 (8.1%)
100.0%prior 12
5
NISSAN22 (7.4%)
0.0%prior 22
6
CHEVROLET17 (5.7%)
21.4%prior 14
7
SUBARU10 (3.4%)
25.0%prior 8
8
DODGE9 (3%)
80.0%prior 5
9
MERCEDES-BENZ9 (3%)
10
ACURA9 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Vehicle unit records

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

Sex Distribution (306 persons with recorded sex)

Male172 (56.2%)
30.3%prior 132
Female134 (43.8%)
22.9%prior 109

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 MPH speed zone significantly increased from 34 to 62, an 82.4% rise. Conversely, crashes in the 55 MPH speed zone saw a notable decrease from 19 to 5, a 73.7% reduction. There were no fatal crashes reported in any speed zone in the current period, a decrease from the prior period which recorded 1 fatal crash at 35 MPH and 1 fatal crash at 65 MPH.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · 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: 2024-02-01 through 2024-02-29
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-02-01 through 2024-02-29 (29 days)
  • Geographic scope: CHICOPEE, MA
  • Total crash records analyzed: 152
  • Total persons involved: 362
  • Total vehicles involved: 298

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). "CHICOPEE, MA Crash Intelligence Report: February 2024." Published June 21, 2026. Reporting period: 2024-02-01 to 2024-02-29. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/chicopee/february-2024-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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Chicopee, MA Crash Report — February 2024 | ThatCarHitMe.com