Monthly Traffic Safety Analysis

27 CRASHES IN
WEBSTER, MA
AUGUST 2022

All metrics benchmarked againstAugust 2021

Total crashes remained constant at 27 in August 2022 and August 2021. Total injuries decreased from 9 in August 2021 to 7 in August 2022, while hit-and-run crashes doubled from 1 to 2 during the same period. There were no fatalities reported in either month.

27

Total Crash Events

0

Persons Killed

7

-22.2%was 9

Persons Injured

2

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The total number of crashes remained stable year-over-year, with 27 crashes reported in both August 2022 and August 2021. However, total injuries decreased by 22.2% from 9 in August 2021 to 7 in August 2022, indicating a slight improvement in injury outcomes despite consistent crash volume.

2

Hit-and-Run Crashes — August 2022

100.0% vs prior (1)

Hit-and-run crashes increased by 100% year-over-year, rising from 1 crash in August 2021 to 2 crashes in August 2022. The hit-and-run rate also increased from 3.7% of total crashes in August 2021 to 7.4% in August 2022.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

7

Motorists Injured

Prior: 9-22.2%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

In August 2022, the peak day for crashes shifted to Monday with 6 crashes, compared to Wednesday with 6 crashes in August 2021. The peak crash hour in August 2022 was 3 PM with 5 crashes, a change from 2 PM with 4 crashes in August 2021, suggesting a shift in peak activity times.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities in either August 2022 or August 2021. Serious injuries (severity 'A') decreased from 2 in August 2021 to 0 in August 2022, and minor injuries (severity 'B') decreased from 5 to 2. Conversely, possible injuries (severity 'C') increased from 0 in August 2021 to 3 in August 2022, and crashes with no injury increased from 18 to 21.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes7.4%
-60.0%prior 5
Possible Injury3possible injury crashes11.1%
No Injury21no injury crashes77.8%
16.7%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Most severe injury per crash record

Top Contributing Factors

The count of crashes attributed to "Inattention" increased from 5 in August 2021 to 9 in August 2022, an 80% increase in count, making it the most frequent factor in the current period with a 33.3% share. Concurrently, "No improper driving" decreased from 9 crashes in August 2021 to 6 crashes in August 2022, a 33.3% decrease in count, shifting its ranking from most frequent to second most frequent.

Officer-Reported Primary Contributing Cause

Inattention9 (33.3%)80.0%prior 5
No improper driving6 (22.2%)-33.3%prior 9
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (7.4%)
Glare1 (3.7%)
Driving too fast for conditions1 (3.7%)
Made an improper turn1 (3.7%)
Distracted1 (3.7%)
Other improper action1 (3.7%)
Failure to keep in proper lane or running off road1 (3.7%)
Disregarded traffic signs, signals, road markings1 (3.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 21 in August 2021 to 23 in August 2022. The number of crashes on wet road surfaces decreased from 3 in August 2021 to 1 in August 2022, indicating fewer crashes under adverse road conditions. Crashes during daylight hours increased from 21 to 24, while those in dark-lighted roadway conditions decreased from 4 to 3.

Weather

Clear23 (88.5%)
9.5%prior 21
Clear/Cloudy1 (3.8%)
Cloudy1 (3.8%)
Cloudy/Rain1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Weather condition at time of crash

Lighting

Daylight24 (88.9%)
14.3%prior 21
Dark - lighted roadway3 (11.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Lighting condition field

Road Surface

Dry25 (96.2%)
4.2%prior 24
Wet1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (47 vehicles)

1
TOYOTA12 (25.5%)
33.3%prior 9
2
HONDA5 (10.6%)
3
FORD4 (8.5%)
-20.0%prior 5
4
NISSAN4 (8.5%)
5
JEEP3 (6.4%)
6
CHEVROLET2 (4.3%)
7
GMC2 (4.3%)
8
PLYM1 (2.1%)
9
PTRB1 (2.1%)
10
SUBARU1 (2.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Vehicle unit records

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

Sex Distribution (49 persons with recorded sex)

Male29 (59.2%)
20.8%prior 24
Female20 (40.8%)
-37.5%prior 32

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 30 mph speed zones remained relatively stable, with 13 in August 2021 and 14 in August 2022. There was a notable decrease in crashes in 65 mph zones, dropping from 4 in August 2021 to 2 in August 2022. Conversely, crashes in 25 mph zones increased from 2 in August 2021 to 4 in August 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · 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: 2022-08-01 through 2022-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-08-01 through 2022-08-31 (31 days)
  • Geographic scope: WEBSTER, MA
  • Total crash records analyzed: 27
  • Total persons involved: 58
  • 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). "WEBSTER, MA Crash Intelligence Report: August 2022." Published June 21, 2026. Reporting period: 2022-08-01 to 2022-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/webster/august-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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Webster, MA Crash Report — August 2022 | ThatCarHitMe.com