Monthly Traffic Safety Analysis

47 CRASHES IN
WESTBOROUGH, MA
JANUARY 2022

All metrics benchmarked againstJanuary 2021

Total crashes in WESTBOROUGH, MA increased by 9.3% year-over-year, rising from 43 in January 2021 to 47 in January 2022. The most notable shift was an 80% increase in total injuries, climbing from 5 in the prior period to 9 in the current period.

47

9.3%was 43

Total Crash Events

0

Persons Killed

9

80.0%was 5

Persons Injured

0

-100.0%was 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.

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

Trend Summary

Overall, crash activity in WESTBOROUGH, MA showed an upward trend year-over-year. Total crashes increased by 4, from 43 in January 2021 to 47 in January 2022. This 9.3% rise in crashes was accompanied by an 80% increase in total injuries, which went from 5 to 9 during the same period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

9

Motorists Injured

Prior: 4125.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · 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 Thursday in January 2021, with 9 crashes, to Tuesday in January 2022, with 11 crashes. The peak hour also changed, moving from 11 AM with 7 crashes in the prior year to 5 PM with 6 crashes in the current year. Crashes on Mondays significantly increased from 4 to 10, while crashes on Fridays decreased from 8 to 3.

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

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

Crash Severity Breakdown

There were no fatal crashes or fatalities reported in either January 2021 or January 2022. Crashes resulting in minor injuries increased from 3 (7% of total crashes) in the prior period to 5 (10.6% of total crashes) in the current period. The number of crashes with possible injuries remained stable at 1 in both periods, representing 2.3% and 2.1% of total crashes, respectively.

Outcome by Severity (Crash Events)

Minor Injury5minor injury crashes10.6%
66.7%prior 3
Possible Injury1possible injury crashes2.1%
0.0%prior 1
No Injury41no injury crashes87.2%
10.8%prior 37

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

Severity Distribution (Crash Events)

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

Top Contributing Factors

The count of 'No improper driving' as a contributing factor saw a substantial increase, rising from 4 in January 2021 to 14 in January 2022. 'Followed too closely' also increased by 2 crashes, from 3 to 5 year-over-year. Conversely, 'Driving too fast for conditions' decreased by 2 crashes, from 4 to 2, and 'Disregarded traffic signs, signals, road markings' decreased from 2 to 1 crash.

Officer-Reported Primary Contributing Cause

No improper driving14 (29.8%)
Inattention10 (21.3%)0.0%prior 10
Followed too closely5 (10.6%)
Failed to yield right of way5 (10.6%)0.0%prior 5
Over-correcting/over-steering3 (6.4%)
Driving too fast for conditions2 (4.3%)
Failure to keep in proper lane or running off road1 (2.1%)
Exceeded authorized speed limit1 (2.1%)
Wrong side or wrong way1 (2.1%)
Disregarded traffic signs, signals, road markings1 (2.1%)

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

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 26 in January 2021 to 30 in January 2022, while crashes in 'Snow' conditions decreased from 9 to 4. Regarding road surface, crashes on 'Slush' increased from 1 to 5, and 'Ice' conditions saw an increase from 1 to 3 crashes. The number of crashes during 'Daylight' increased from 21 to 25, and crashes in 'Dark - lighted roadway' conditions rose from 9 to 12.

Weather

Clear30 (65.2%)
15.4%prior 26
Cloudy5 (10.9%)
Snow4 (8.7%)
-55.6%prior 9
Rain/Sleet, hail (freezing rain or drizzle)1 (2.2%)
Sleet, hail (freezing rain or drizzle)1 (2.2%)
Sleet, hail (freezing rain or drizzle)/Fog, smog, smoke1 (2.2%)
Sleet, hail (freezing rain or drizzle)/Rain1 (2.2%)
Snow/Blowing sand, snow1 (2.2%)
Clear/Cloudy1 (2.2%)
Rain1 (2.2%)

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

Lighting

Daylight25 (54.3%)
19.0%prior 21
Dark - lighted roadway12 (26.1%)
33.3%prior 9
Dark - roadway not lighted6 (13.0%)
-25.0%prior 8
Dawn2 (4.3%)
Dusk1 (2.2%)

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

Road Surface

Dry28 (60.9%)
0.0%prior 28
Snow7 (15.2%)
-22.2%prior 9
Slush5 (10.9%)
Ice3 (6.5%)
Wet3 (6.5%)

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

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 75 in January 2021 to 86 in January 2022. Toyota became the top vehicle make involved, rising from 11 to 18, while Honda decreased from 16 to 12. The age group 26-34 saw the largest increase in persons involved, rising from 12 to 18, and persons aged 45-54 increased from 16 to 20.

Top Vehicle Makes (86 vehicles)

1
TOYOTA18 (20.9%)
63.6%prior 11
2
HONDA12 (14%)
-25.0%prior 16
3
FORD10 (11.6%)
66.7%prior 6
4
NISSAN6 (7%)
5
MERCEDES-BENZ5 (5.8%)
6
MAZDA4 (4.7%)
7
JEEP4 (4.7%)
-42.9%prior 7
8
DODGE3 (3.5%)
9
CHEVROLET3 (3.5%)
-57.1%prior 7
10
ACURA2 (2.3%)

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

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

Sex Distribution (96 persons with recorded sex)

Male57 (59.4%)
16.3%prior 49
Female39 (40.6%)
18.2%prior 33

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

Speed Limit Zones

Crashes in 65 mph speed zones saw a significant increase, rising from 2 in January 2021 to 8 in January 2022. Conversely, crashes in 30 mph speed zones decreased from 16 to 13, and 45 mph zones decreased from 9 to 6. There were no fatal crashes reported in any speed zone during either period.

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

Data Coverage

  • Reporting period: 2022-01-01 through 2022-01-31 (31 days)
  • Geographic scope: WESTBOROUGH, MA
  • Total crash records analyzed: 47
  • Total persons involved: 103
  • Total vehicles involved: 86

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). "WESTBOROUGH, MA Crash Intelligence Report: January 2022." Published June 21, 2026. Reporting period: 2022-01-01 to 2022-01-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westborough/january-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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Westborough, MA Crash Report — January 2022 | ThatCarHitMe.com