Monthly Traffic Safety Analysis

103 CRASHES IN
WEYMOUTH, MA
FEBRUARY 2022

All metrics benchmarked againstFebruary 2021

WEYMOUTH experienced a significant increase in crashes in February 2022 compared to February 2021, rising from 68 to 103 crashes, a 51.5% increase. This period also saw a substantial 150% rise in total injuries, from 14 to 35, and the occurrence of one serious injury crash compared to none in the prior year.

103

51.5%was 68

Total Crash Events

0

Persons Killed

35

150.0%was 14

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in WEYMOUTH showed a significant upward trend year-over-year, with total crashes increasing by 51.5% from 68 to 103. Concurrently, total injuries rose by 150%, from 14 to 35, while fatalities remained at zero in both periods.

1

Hit-and-Run Crashes — February 2022

0.0% vs prior (1)

The number of hit-and-run crashes remained constant at 1 in both February 2021 and February 2022. However, the hit-and-run crash rate decreased from 1.5% of all crashes in the prior period to 1% in the current period.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

34

Motorists Injured

Prior: 14142.9%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · 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 February 2021 (17 crashes) to Sunday in February 2022 (23 crashes). Similarly, the peak crash hour moved from 2 PM with 9 crashes in the prior period to 6 PM with 14 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero in both February 2021 and February 2022. However, the number of injury crashes increased, with serious injury crashes rising from 0 to 1, minor injury crashes from 8 to 15, and possible injury crashes from 3 to 10. The overall injury rate per crash increased from 20.6% in February 2021 to 34.0% in February 2022.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes1%
Minor Injury15minor injury crashes14.6%
87.5%prior 8
Possible Injury10possible injury crashes9.7%
233.3%prior 3
No Injury73no injury crashes70.9%
30.4%prior 56

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'Followed too closely' saw a substantial increase, rising from 2 crashes in February 2021 to 13 crashes in February 2022, a 550% increase in count. 'No improper driving' also increased by 11 crashes, from 21 to 32, representing a 52.4% rise in count. 'Inattention' crashes increased slightly from 13 to 14, a 7.7% increase in count.

Officer-Reported Primary Contributing Cause

No improper driving32 (31.1%)52.4%prior 21
Inattention14 (13.6%)7.7%prior 13
Followed too closely13 (12.6%)
Failed to yield right of way11 (10.7%)10.0%prior 10
Failure to keep in proper lane or running off road5 (4.9%)
Driving too fast for conditions4 (3.9%)
Over-correcting/over-steering4 (3.9%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (2.9%)
Distracted3 (2.9%)
Disregarded traffic signs, signals, road markings2 (1.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring on dry road surfaces increased by 82.8%, from 29 in February 2021 to 53 in February 2022. Crashes on icy road surfaces also saw a significant increase, rising by 125% from 4 to 9. Conversely, crashes during snowy conditions decreased by 25%, from 16 to 12.

Weather

Clear52 (50.5%)
79.3%prior 29
Snow12 (11.7%)
-25.0%prior 16
Cloudy7 (6.8%)
Snow/Sleet, hail (freezing rain or drizzle)6 (5.8%)
Rain4 (3.9%)
Clear/Unknown3 (2.9%)
Clear/Other3 (2.9%)
Sleet, hail (freezing rain or drizzle)3 (2.9%)
Cloudy/Sleet, hail (freezing rain or drizzle)2 (1.9%)
Unknown/Other2 (1.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Weather condition at time of crash

Lighting

Daylight52 (51.5%)
36.8%prior 38
Dark - lighted roadway38 (37.6%)
46.2%prior 26
Dark - roadway not lighted4 (4.0%)
Dawn3 (3.0%)
Dusk3 (3.0%)
Dark - unknown roadway lighting1 (1.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Lighting condition field

Road Surface

Dry53 (51.5%)
82.8%prior 29
Wet19 (18.4%)
5.6%prior 18
Snow18 (17.5%)
20.0%prior 15
Ice9 (8.7%)
Slush4 (3.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased by 51.6%, from 124 in February 2021 to 188 in February 2022. Among vehicle makes, JEEP-involved crashes saw a 200% increase, rising from 6 to 18. The age group 65+ experienced a 177.8% increase in persons involved in crashes, from 9 to 25.

Top Vehicle Makes (188 vehicles)

1
TOYOTA33 (17.6%)
6.5%prior 31
2
FORD25 (13.3%)
56.3%prior 16
3
HONDA19 (10.1%)
0.0%prior 19
4
JEEP18 (9.6%)
200.0%prior 6
5
CHEVROLET14 (7.4%)
75.0%prior 8
6
NISSAN14 (7.4%)
7
HYUNDAI9 (4.8%)
8
KIA6 (3.2%)
9
MERCEDES-BENZ5 (2.7%)
10
VOLKSWAGEN4 (2.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Vehicle unit records

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

Sex Distribution (207 persons with recorded sex)

Male127 (61.4%)
60.8%prior 79
Female80 (38.6%)
27.0%prior 63

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 40 mph speed zones increased by 125%, from 4 in February 2021 to 9 in February 2022. Crashes in 35 mph zones also rose by 78.6%, from 14 to 25. There were no fatal crashes reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-02-01 to 2022-02-28 · 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: 2022-02-01 through 2022-02-28
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-02-01 through 2022-02-28 (28 days)
  • Geographic scope: WEYMOUTH, MA
  • Total crash records analyzed: 103
  • Total persons involved: 220
  • Total vehicles involved: 188

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). "WEYMOUTH, MA Crash Intelligence Report: February 2022." Published June 21, 2026. Reporting period: 2022-02-01 to 2022-02-28. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/weymouth/february-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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Weymouth, MA Crash Report — February 2022 | ThatCarHitMe.com