Monthly Traffic Safety Analysis

20 CRASHES IN
SOUTH HADLEY, MA
JULY 2022

All metrics benchmarked againstJuly 2021

In July 2022, South Hadley recorded 20 crashes, the same number as in July 2021. Despite the stable number of total crashes, there was a notable 400% increase in total injuries, rising from 1 in the prior period to 5 in the current period. Additionally, hit-and-run crashes increased from 0 to 2 year-over-year.

20

Total Crash Events

0

Persons Killed

5

400.0%was 1

Persons Injured

2

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The total number of crashes in South Hadley remained stable year-over-year, with 20 crashes reported in both July 2022 and July 2021. This represents a 0% change in overall crash volume. However, the number of persons injured in these crashes increased significantly from 1 to 5.

2

Hit-and-Run Crashes — July 2022

10.0% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

5

Motorists Injured

Prior: 1400.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · 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 Monday with 6 crashes in July 2021 to Wednesday with 4 crashes in July 2022. The peak hour for crashes remained consistent at 3 PM, experiencing a slight increase from 3 crashes in the prior period to 4 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While there were no fatalities in either period, the severity distribution of crashes changed notably. Total injuries increased from 1 in July 2021 to 5 in July 2022. The current period saw 1 serious injury, 3 minor injuries, and 1 possible injury, whereas the prior period only recorded 1 minor injury.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes5%
Minor Injury3minor injury crashes15%
200.0%prior 1
Possible Injury1possible injury crashes5%
No Injury14no injury crashes70%
-17.6%prior 17

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Most severe injury per crash record

Top Contributing Factors

Comparing common contributing factors, crashes attributed to 'No improper driving' increased from 4 to 5, and 'Failed to yield right of way' increased from 1 to 3. Factors like 'Failure to keep in proper lane or running off road' (2 crashes in prior period) and 'Operating defective equipment' (1 crash in prior period) were not reported in the current period, while 'Over-correcting/over-steering' and 'Distracted' each appeared with 1 crash in the current period but were absent in the prior period.

Officer-Reported Primary Contributing Cause

No improper driving5 (25%)
Inattention4 (20%)
Failed to yield right of way3 (15%)
Other improper action1 (5%)
Over-correcting/over-steering1 (5%)
Made an improper turn1 (5%)
Followed too closely1 (5%)
Glare1 (5%)
Distracted1 (5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 11 in July 2021 to 18 in July 2022, while crashes in adverse weather conditions (Cloudy, Rain variants) decreased from 10 to 2. Similarly, crashes on dry road surfaces increased from 12 to 19, and crashes on wet road surfaces decreased from 7 to 1 year-over-year. Crashes during daylight hours increased from 13 to 15, while crashes in dark conditions (lighted/unlighted) decreased from 5 to 4.

Weather

Clear18 (90.0%)
63.6%prior 11
Cloudy2 (10.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Weather condition at time of crash

Lighting

Daylight15 (75.0%)
15.4%prior 13
Dark - lighted roadway3 (15.0%)
-40.0%prior 5
Dark - roadway not lighted1 (5.0%)
Dusk1 (5.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Lighting condition field

Road Surface

Dry19 (95.0%)
58.3%prior 12
Wet1 (5.0%)
-85.7%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (35 vehicles)

1
FORD7 (20%)
2
TOYOTA6 (17.1%)
3
HONDA4 (11.4%)
-33.3%prior 6
4
SUBARU3 (8.6%)
5
CHEVROLET3 (8.6%)
6
HYUNDAI3 (8.6%)
7
GMC2 (5.7%)
8
VOLKSWAGEN1 (2.9%)
9
BUIC1 (2.9%)
10
MAZDA1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Vehicle unit records

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

Sex Distribution (34 persons with recorded sex)

Male19 (55.9%)
11.8%prior 17
Female15 (44.1%)
-28.6%prior 21

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes at the 15 mph speed limit increased from 1 to 2, while crashes at the 25 mph speed limit decreased from 7 to 4. The number of crashes at 30 mph and 40 mph remained stable at 7 and 3, respectively. New speed zones appearing in the current period's crash data include 10 mph (1 crash), 35 mph (1 crash), and 50 mph (1 crash), while the 20 mph zone (1 crash) was present in the prior period but not the current.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-07-01 to 2022-07-31 · 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: 2022-07-01 through 2022-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-07-01 through 2022-07-31 (31 days)
  • Geographic scope: SOUTH HADLEY, MA
  • Total crash records analyzed: 20
  • Total persons involved: 40
  • Total vehicles involved: 35

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). "SOUTH HADLEY, MA Crash Intelligence Report: July 2022." Published June 21, 2026. Reporting period: 2022-07-01 to 2022-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/south-hadley/july-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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South Hadley, MA Crash Report — July 2022 | ThatCarHitMe.com