Monthly Traffic Safety Analysis

17 CRASHES IN
MEDWAY, MA
JULY 2022

All metrics benchmarked againstJuly 2021

Total crashes in MEDWAY decreased slightly by 5.6%, from 18 in July 2021 to 17 in July 2022. A notable year-over-year shift was the appearance of hit-and-run crashes, increasing from zero in the prior period to two in the current period. Fatalities remained at zero in both comparative periods.

17

-5.6%was 18

Total Crash Events

0

Persons Killed

6

-14.3%was 7

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. 2 crashes with unreported severity are 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

Overall crash activity in MEDWAY showed a slight downward trend, with total crashes decreasing from 18 in July 2021 to 17 in July 2022. This represents a 5.6% reduction in crashes year-over-year.

2

Hit-and-Run Crashes — July 2022

11.8% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

6

Motorists Injured

Prior: 60.0%

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 Tuesday in July 2021 (5 crashes) to Wednesday in July 2022 (5 crashes). The peak hour also changed significantly, moving from 10 AM (3 crashes) in the prior period to 6 AM (3 crashes) in the current period. Notably, crashes occurring at 4 AM increased from zero to two, and at 6 AM from zero to three, while crashes at 10 AM decreased from three to one.

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

Total injuries decreased by one, from 7 in July 2021 to 6 in July 2022. The proportion of crashes resulting in minor injury (severity B) increased from 16.7% (3 out of 18 crashes) in the prior period to 29.4% (5 out of 17 crashes) in the current period. Crashes with possible injury (severity C) were reported in the prior period with 4 crashes (22.2% of 18), but were not among the listed severity categories for the current period. Fatal crashes remained at zero in both periods.

Outcome by Severity (Crash Events)

Minor Injury5minor injury crashes29.4%
66.7%prior 3
No Injury10no injury crashes58.8%
66.7%prior 6

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

No improper driving became the most frequently cited contributing factor in July 2022, increasing by 4 crashes from 3 in the prior period to 7 in the current period, representing a 133.3% increase in count. Conversely, Inattention, a factor in 3 crashes (16.7% share) in July 2021, was not listed among the top contributing factors in July 2022. Failed to yield right of way decreased by 1 crash, from 3 in the prior period to 2 in the current period.

Officer-Reported Primary Contributing Cause

No improper driving7 (41.2%)
Failed to yield right of way2 (11.8%)
Glare1 (5.9%)
History heart/epilepsy/fainting1 (5.9%)
Followed too closely1 (5.9%)
Other improper action1 (5.9%)
Failure to keep in proper lane or running off road1 (5.9%)

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 16 in July 2022. Conversely, crashes on wet road surfaces decreased from 4 in the prior period to 1 in the current period. Crashes occurring in daylight decreased from 16 to 14, while those in dark conditions increased from 2 to 3.

Weather

Clear/Clear14 (82.4%)
40.0%prior 10
Clear2 (11.8%)
Rain1 (5.9%)

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

Lighting

Daylight14 (82.4%)
-12.5%prior 16
Dark - lighted roadway2 (11.8%)
Dark - roadway not lighted1 (5.9%)

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

Road Surface

Dry16 (94.1%)
14.3%prior 14
Wet1 (5.9%)

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 (30 vehicles)

1
TOYOTA6 (20%)
0.0%prior 6
2
FORD5 (16.7%)
-28.6%prior 7
3
NISSAN3 (10%)
4
HONDA2 (6.7%)
5
MAZDA2 (6.7%)
6
DODGE2 (6.7%)
7
GMC2 (6.7%)
8
SUBARU2 (6.7%)
9
MACK1 (3.3%)
10
FRHT1 (3.3%)

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

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

Sex Distribution (34 persons with recorded sex)

Male21 (61.8%)
16.7%prior 18
Female13 (38.2%)
-45.8%prior 24

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

The highest number of crashes shifted to the 35 mph speed zone, increasing by 3 crashes from 4 in July 2021 to 7 in July 2022. Meanwhile, crashes in the 30 mph zone decreased by 1, from 4 to 3. There were no fatal crashes reported in any speed limit zone during either period.

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: MEDWAY, MA
  • Total crash records analyzed: 17
  • Total persons involved: 44
  • Total vehicles involved: 30

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). "MEDWAY, 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/medway/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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Medway, MA Crash Report — July 2022 | ThatCarHitMe.com