Monthly Traffic Safety Analysis

25 CRASHES IN
HADLEY, MA
APRIL 2023

All metrics benchmarked againstApril 2022

In April 2023, Hadley experienced 25 crashes, a slight decrease of 4% compared to 26 crashes in April 2022. Despite the minor reduction in overall incidents, total injuries saw a significant 100% increase, rising from 2 injuries in the prior period to 4 in the current period. This period also saw the emergence of pedestrian and cyclist-involved crashes, with one of each, which were absent in the prior year.

25

-3.8%was 26

Total Crash Events

0

Persons Killed

4

100.0%was 2

Persons Injured

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash frequency in Hadley remained relatively stable year-over-year, with a minor decrease of 1 crash, or 4%, from 26 crashes in April 2022 to 25 crashes in April 2023. However, injuries increased substantially by 100%, from 2 to 4, indicating a rise in crash severity despite the stable number of incidents. Fatalities remained at zero in both periods.

1

Hit-and-Run Crashes — April 2023

4.0% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

1

Cyclists Injured

Prior: 0%

2

Motorists Injured

Prior: 20.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · 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. The peak day for crashes moved from Friday in April 2022 (5 crashes) to Sunday in April 2023 (6 crashes). Similarly, the peak hour for crashes changed from 3 PM in April 2022 (5 crashes) to 12 PM in April 2023 (5 crashes).

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While no fatal crashes occurred in either period, the severity of crashes increased in April 2023. Total injuries rose by 100%, from 2 in April 2022 to 4 in April 2023. The proportion of crashes resulting in minor injury increased from 3.8% in the prior period to 16% in the current period, with possible injuries declining from 3.8% to 0%.

Outcome by Severity (Crash Events)

Minor Injury4minor injury crashes16%
300.0%prior 1
No Injury21no injury crashes84%
0.0%prior 21

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Most severe injury per crash record

Top Contributing Factors

Inattention emerged as the leading contributing factor in April 2023 with 10 crashes, a substantial increase of 7 crashes (233%) from 3 in April 2022. Followed too closely also saw an increase, rising by 1 crash (33%) from 3 to 4. Conversely, crashes attributed to No improper driving decreased by 1 crash (25%), from 4 to 3, and Failed to yield right of way decreased by 3 crashes from 4 to 1.

Officer-Reported Primary Contributing Cause

Inattention10 (40%)
Followed too closely4 (16%)
No improper driving3 (12%)
Visibility obstructed2 (8%)
Failure to keep in proper lane or running off road2 (8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (8%)
Distracted1 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions saw a slight increase from 15 to 17, while those in cloudy conditions decreased from 7 to 5. The proportion of crashes in daylight decreased from 80.8% in April 2022 to 72% in April 2023, with a corresponding increase in the proportion of crashes occurring in dark conditions from 19.2% to 24%. Crashes on wet road surfaces remained stable at 6 incidents in both periods.

Weather

Clear17 (68.0%)
13.3%prior 15
Cloudy5 (20.0%)
-28.6%prior 7
Rain2 (8.0%)
Rain/Rain1 (4.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Weather condition at time of crash

Lighting

Daylight18 (72.0%)
-14.3%prior 21
Dark - roadway not lighted4 (16.0%)
Dark - lighted roadway2 (8.0%)
Dusk1 (4.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Lighting condition field

Road Surface

Dry19 (76.0%)
-5.0%prior 20
Wet6 (24.0%)
0.0%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (50 vehicles)

1
HONDA12 (24%)
50.0%prior 8
2
FORD5 (10%)
3
KIA4 (8%)
4
HYUNDAI4 (8%)
5
TOYOTA4 (8%)
-63.6%prior 11
6
SUBARU4 (8%)
7
CHEVROLET3 (6%)
8
VOLKSWAGEN2 (4%)
9
JEEP2 (4%)
10
NISSAN2 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Vehicle unit records

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

Sex Distribution (58 persons with recorded sex)

Female29 (50.0%)
-3.3%prior 30
Male29 (50.0%)
45.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · Person-level records linked to crash events

Speed Limit Zones

The distribution of crashes across speed zones shifted, with the highest number of crashes moving from the 40 mph zone (10 crashes) in April 2022 to the 35 mph zone (11 crashes) in April 2023. Crashes in the 40 mph zone decreased by 5 incidents, while crashes in the 35 mph zone increased by 3 incidents. There were no fatal crashes reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-04-01 to 2023-04-30 · 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: 2023-04-01 through 2023-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-04-01 through 2023-04-30 (30 days)
  • Geographic scope: HADLEY, MA
  • Total crash records analyzed: 25
  • Total persons involved: 60
  • Total vehicles involved: 50

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 2023." Published June 21, 2026. Reporting period: 2023-04-01 to 2023-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/hadley/april-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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