Monthly Traffic Safety Analysis

47 CRASHES IN
FAIRHAVEN, MA
FEBRUARY 2022

All metrics benchmarked againstFebruary 2021

In February 2022, FAIRHAVEN experienced 47 total crashes, an 80.8% increase compared to the 26 crashes recorded in February 2021. The number of total injuries also saw a significant rise, from 4 in the prior period to 13 in the current period, representing a 225% increase. A notable shift was the emergence of 2 serious injury crashes in the current period, whereas none were reported in the prior year.

47

80.8%was 26

Total Crash Events

0

Persons Killed

13

225.0%was 4

Persons Injured

3

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. 8 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 data for February 2022 indicates an upward trend in FAIRHAVEN, with total crashes increasing from 26 in the prior year to 47, an 80.8% rise. Similarly, total injuries rose substantially from 4 to 13, marking a 225% increase year-over-year. Fatalities remained at zero in both periods.

3

Hit-and-Run Crashes — February 2022

6.4% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

13

Motorists Injured

Prior: 4225.0%

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 temporal distribution of crashes shifted year-over-year; in February 2022, the peak day for crashes was Monday with 12 incidents, while the peak hour was 4 p.m. with 6 incidents. This contrasts with February 2021, where Friday was the peak day with 5 crashes and 6 p.m. was the peak hour, also with 4 crashes.

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

There were no fatalities in either February 2021 or February 2022. Total injuries increased from 4 in the prior period to 13 in the current period. The current period saw 2 serious injuries (severity 'A'), which were absent in the prior period, while minor injuries (severity 'B') increased from 1 to 5, and possible injuries (severity 'C') increased from 2 to 4.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes4.3%
Minor Injury5minor injury crashes10.6%
400.0%prior 1
Possible Injury4possible injury crashes8.5%
100.0%prior 2
No Injury28no injury crashes59.6%
33.3%prior 21

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

Comparing contributing factors, 'Inattention' crashes increased significantly from 3 in February 2021 to 15 in February 2022, a 400% change in count. Crashes attributed to 'No improper driving' also rose from 4 to 12, a 200% change in count. 'Driving too fast for conditions' maintained a count of 3 crashes in both periods, while 'Failed to yield right of way' crashes decreased from 3 to 2.

Officer-Reported Primary Contributing Cause

Inattention15 (31.9%)
No improper driving12 (25.5%)
Driving too fast for conditions3 (6.4%)
Failed to yield right of way2 (4.3%)
Distracted1 (2.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2.1%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (2.1%)

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 in 'Clear' weather conditions increased from 15 in February 2021 to 26 in February 2022. Incidents on 'Dry' road surfaces also rose, from 12 to 21, and those on 'Snow' surfaces increased from 4 to 9. The number of crashes occurring during 'Daylight' conditions increased from 18 to 33 year-over-year.

Weather

Clear26 (56.5%)
73.3%prior 15
Snow5 (10.9%)
Cloudy5 (10.9%)
Rain/Cloudy2 (4.3%)
Cloudy/Rain2 (4.3%)
Clear/Cloudy2 (4.3%)
Rain2 (4.3%)
Clear/Snow1 (2.2%)
Cloudy/Snow1 (2.2%)

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

Lighting

Daylight33 (71.7%)
83.3%prior 18
Dark - lighted roadway7 (15.2%)
Dark - unknown roadway lighting3 (6.5%)
Dark - roadway not lighted2 (4.3%)
Dawn1 (2.2%)

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

Road Surface

Dry21 (45.7%)
75.0%prior 12
Wet10 (21.7%)
25.0%prior 8
Snow9 (19.6%)
Slush4 (8.7%)
Ice2 (4.3%)

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

Vehicles & Demographics

Top Vehicle Makes (80 vehicles)

1
TOYOTA15 (18.8%)
150.0%prior 6
2
HONDA12 (15%)
3
FORD9 (11.3%)
28.6%prior 7
4
CHEVROLET7 (8.8%)
16.7%prior 6
5
KIA5 (6.3%)
6
NISSAN4 (5%)
7
SUBARU3 (3.8%)
8
HYUNDAI3 (3.8%)
9
JEEP3 (3.8%)
10
VOLKSWAGEN2 (2.5%)

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

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

Sex Distribution (94 persons with recorded sex)

Male50 (53.2%)
78.6%prior 28
Female44 (46.8%)
69.2%prior 26

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 25 mph zones increased from 8 in February 2021 to 17 in February 2022, while those in 35 mph zones rose from 3 to 10. Conversely, crashes in 15 mph zones decreased from 4 to 1, and in 30 mph zones from 4 to 2. 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: FAIRHAVEN, MA
  • Total crash records analyzed: 47
  • Total persons involved: 103
  • Total vehicles involved: 80

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). "FAIRHAVEN, 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/fairhaven/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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Fairhaven, MA Crash Report — February 2022 | ThatCarHitMe.com