Monthly Traffic Safety Analysis

26 CRASHES IN
HADLEY, MA
APRIL 2022

All metrics benchmarked againstApril 2021

Total crashes remained stable at 26 in April 2022, unchanged from April 2021. However, total injuries decreased by 50%, falling from 4 injuries in April 2021 to 2 injuries in April 2022. This period also saw a 50% reduction in crashes attributed to driving under the influence (DUI).

26

Total Crash Events

0

Persons Killed

2

-50.0%was 4

Persons Injured

0

-100.0%was 1

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the total number of crashes remained stable at 26 year-over-year. Despite the consistent crash count, there was a notable decrease in injuries, with total injuries falling by 50% from 4 in April 2021 to 2 in April 2022. Fatalities remained at zero in both periods.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

2

Motorists Injured

Prior: 3-33.3%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · 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 in April 2021, with 7 crashes, to Friday in April 2022, with 5 crashes. The peak hour for crashes remained 3 p.m. in both periods, though the number of crashes at this hour decreased from 7 in April 2021 to 5 in April 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities reported in either April 2021 or April 2022. Total injuries decreased by 50%, from 4 in the prior period to 2 in the current period. The prior period recorded 1 serious injury, which was absent in the current period, while minor injuries decreased from 2 to 1.

Outcome by Severity (Crash Events)

Minor Injury1minor injury crashes3.8%
-50.0%prior 2
Possible Injury1possible injury crashes3.8%
0.0%prior 1
No Injury21no injury crashes80.8%
0.0%prior 21

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Most severe injury per crash record

Top Contributing Factors

The factor 'Inattention' saw a significant decrease, falling from 12 crashes in April 2021 to 3 crashes in April 2022, a 75% reduction in count. Conversely, crashes attributed to 'Failed to yield right of way' increased by 300%, from 1 crash to 4 crashes. 'No improper driving' also increased by 100%, from 2 crashes to 4 crashes.

Officer-Reported Primary Contributing Cause

Failed to yield right of way4 (15.4%)
No improper driving4 (15.4%)
Other improper action4 (15.4%)
Followed too closely3 (11.5%)
Inattention3 (11.5%)-75.0%prior 12
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (7.7%)
Distracted2 (7.7%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring on wet road surfaces increased significantly, rising from 1 crash in April 2021 to 6 crashes in April 2022. Crashes under 'Dark - roadway not lighted' conditions also increased from 0 to 3. The number of crashes in clear weather remained consistent, decreasing slightly from 16 to 15.

Weather

Clear15 (57.7%)
-6.3%prior 16
Cloudy7 (26.9%)
Rain3 (11.5%)
Cloudy/Rain1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Weather condition at time of crash

Lighting

Daylight21 (80.8%)
-12.5%prior 24
Dark - roadway not lighted3 (11.5%)
Dark - lighted roadway2 (7.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Lighting condition field

Road Surface

Dry20 (76.9%)
-20.0%prior 25
Wet6 (23.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (47 vehicles)

1
TOYOTA11 (23.4%)
57.1%prior 7
2
HONDA8 (17%)
-11.1%prior 9
3
VOLKSWAGEN3 (6.4%)
4
FORD3 (6.4%)
5
SUBARU3 (6.4%)
-40.0%prior 5
6
NISSAN3 (6.4%)
7
HYUNDAI2 (4.3%)
8
JEEP2 (4.3%)
-60.0%prior 5
9
KIA2 (4.3%)
10
CHEVROLET2 (4.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Vehicle unit records

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

Sex Distribution (50 persons with recorded sex)

Female30 (60.0%)
-18.9%prior 37
Male20 (40.0%)
-16.7%prior 24

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Person-level records linked to crash events

Speed Limit Zones

There were no fatal crashes reported across any speed zones in either period. Crashes in the 40 mph zone saw a substantial increase of 233.3%, rising from 3 crashes in April 2021 to 10 crashes in April 2022. Conversely, crashes in the 35 mph zone decreased by 46.7%, from 15 crashes to 8 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · 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: 2022-04-01 through 2022-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-04-01 through 2022-04-30 (30 days)
  • Geographic scope: HADLEY, MA
  • Total crash records analyzed: 26
  • Total persons involved: 52
  • Total vehicles involved: 47

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). "HADLEY, MA Crash Intelligence Report: April 2022." Published June 21, 2026. Reporting period: 2022-04-01 to 2022-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/hadley/april-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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Hadley, MA Crash Report — April 2022 | ThatCarHitMe.com