Monthly Traffic Safety Analysis

31 CRASHES IN
WESTFORD, MA
APRIL 2022

All metrics benchmarked againstApril 2021

In April 2022, WESTFORD experienced 31 crashes, a 13.9% decrease from the 36 crashes recorded in April 2021. Total injuries decreased from 10 to 9, while serious injury crashes increased from 1 to 2 during the same period.

31

-13.9%was 36

Total Crash Events

0

Persons Killed

9

-10.0%was 10

Persons Injured

3

50.0%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. 3 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for April 2022 shows a downward trend compared to April 2021, with total crashes decreasing by 13.9% from 36 to 31. Total injuries also saw a 10% reduction, falling from 10 to 9. Fatalities remained stable at zero in both periods.

3

Hit-and-Run Crashes — April 2022

50.0% vs prior (2)

The number of hit-and-run crashes increased from 2 in April 2021 to 3 in April 2022. Consequently, the hit-and-run crash rate rose from 5.6% of total crashes in April 2021 to 9.7% in April 2022, indicating an upward trend.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

9

Motorists Injured

Prior: 10-10.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted year-over-year, with April 2022's peak crash day being Monday with 13 incidents, compared to Saturday with 7 incidents in April 2021. The peak crash hour also changed from 4p in April 2021 to 8p in April 2022, though both hours recorded 5 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero in both April 2021 and April 2022. However, the proportion of serious injury crashes increased from 2.8% (1 crash) in April 2021 to 6.5% (2 crashes) in April 2022. Minor injury crashes decreased from 5 to 2, while possible injury crashes increased from 2 to 4 year-over-year.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes6.5%
100.0%prior 1
Minor Injury2minor injury crashes6.5%
-60.0%prior 5
Possible Injury4possible injury crashes12.9%
100.0%prior 2
No Injury20no injury crashes64.5%
-28.6%prior 28

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Most severe injury per crash record

Top Contributing Factors

The count of crashes attributed to 'Inattention' remained stable at 8 in both April 2021 and April 2022. Crashes due to 'Failed to yield right of way' increased from 4 in April 2021 to 5 in April 2022. Conversely, crashes involving 'Followed too closely' decreased from 4 to 3 during the same period.

Officer-Reported Primary Contributing Cause

Inattention8 (25.8%)0.0%prior 8
Failed to yield right of way5 (16.1%)
No improper driving4 (12.9%)
Followed too closely3 (9.7%)
Failure to keep in proper lane or running off road2 (6.5%)
Fatigued/asleep2 (6.5%)
History heart/epilepsy/fainting1 (3.2%)
Other improper action1 (3.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

In April 2022, 26 crashes occurred in clear weather, a decrease from 29 in April 2021. The number of crashes in dark conditions increased from 6 in April 2021 to 8 in April 2022, with 'Dark - lighted roadway' incidents rising from 3 to 7. The proportion of crashes on wet road surfaces remained stable at 3 in both periods, while crashes on snowy surfaces were reported only in April 2021.

Weather

Clear26 (86.7%)
-10.3%prior 29
Cloudy/Rain2 (6.7%)
Rain2 (6.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Weather condition at time of crash

Lighting

Daylight21 (70.0%)
-30.0%prior 30
Dark - lighted roadway7 (23.3%)
Dark - roadway not lighted1 (3.3%)
Dusk1 (3.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Lighting condition field

Road Surface

Dry27 (90.0%)
-15.6%prior 32
Wet3 (10.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Road surface condition field

Vehicles & Demographics

The age distribution of persons involved in crashes showed shifts, with the 35-44 age group experiencing a significant decrease from 12 persons in April 2021 to 2 in April 2022. The 16-20 age group also saw a decrease from 11 to 7 persons. In terms of vehicle makes, Toyota, which was the top make with 12 vehicles in April 2021, saw its count decrease to 6, falling behind Ford and Honda in April 2022.

Top Vehicle Makes (50 vehicles)

1
FORD10 (20%)
0.0%prior 10
2
HONDA9 (18%)
0.0%prior 9
3
TOYOTA6 (12%)
-50.0%prior 12
4
SUBARU3 (6%)
5
NISSAN3 (6%)
6
CHEVROLET2 (4%)
7
GMC2 (4%)
8
MITS1 (2%)
9
THMS1 (2%)
10
VOLKSWAGEN1 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Vehicle unit records

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

Sex Distribution (49 persons with recorded sex)

Male30 (61.2%)
-23.1%prior 39
Female19 (38.8%)
-29.6%prior 27

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone decreased from 17 in April 2021 to 15 in April 2022, while crashes in the 40 mph zone decreased from 9 to 8. Crashes in the 65 mph zone also saw a reduction from 6 to 3. There were no fatal crashes recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-04-01 to 2022-04-30 · 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: 2022-04-01 through 2022-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-04-01 through 2022-04-30 (30 days)
  • Geographic scope: WESTFORD, MA
  • Total crash records analyzed: 31
  • Total persons involved: 54
  • Total vehicles involved: 50

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). "WESTFORD, MA Crash Intelligence Report: April 2022." Published June 21, 2026. Reporting period: 2022-04-01 to 2022-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/westford/april-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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Westford, MA Crash Report — April 2022 | ThatCarHitMe.com