Monthly Traffic Safety Analysis

37 CRASHES IN
FAIRHAVEN, MA
MAY 2022

All metrics benchmarked againstMay 2021

In May 2022, FAIRHAVEN, MA experienced 37 total crashes, an increase from 30 crashes in May 2021, representing a 23.3% rise year-over-year. Despite this increase in total crashes, the number of total injuries decreased from 9 to 5, marking a 44.4% reduction. There were no fatal crashes in either period.

37

23.3%was 30

Total Crash Events

0

Persons Killed

5

-44.4%was 9

Persons Injured

2

-33.3%was 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. 9 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Total crashes in FAIRHAVEN, MA increased from 30 in May 2021 to 37 in May 2022. This represents a 23.3% increase in crashes year-over-year. Conversely, total injuries decreased by 44.4% from 9 to 5 during the same period.

2

Hit-and-Run Crashes — May 2022

-33.3% vs prior (3)

The number of hit-and-run crashes decreased from 3 in May 2021 to 2 in May 2022. Consequently, the hit-and-run rate decreased from 10% of total crashes in May 2021 to 5.4% in May 2022.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

4

Motorists Injured

Prior: 9-55.6%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Sunday in both periods, with 8 crashes recorded on this day in both May 2021 and May 2022. The peak hour for crashes remained 2 PM, increasing slightly from 4 crashes in May 2021 to 5 crashes in May 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Total injuries decreased from 9 in May 2021 to 5 in May 2022, a 44.4% reduction. There were no fatal crashes or fatalities in either May 2021 or May 2022. The number of crashes with Minor Injury (B) remained constant at 5, while crashes with Possible Injury (C) decreased from 2 in May 2021 to 0 in May 2022.

Outcome by Severity (Crash Events)

Minor Injury5minor injury crashes13.5%
0.0%prior 5
No Injury23no injury crashes62.2%
9.5%prior 21

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'No improper driving' increased from 5 in May 2021 to 9 in May 2022, an 80% rise. Conversely, 'Inattention' crashes decreased from 9 in May 2021 to 5 in May 2022, a 44.4% reduction, shifting its rank from the most frequent factor to the second most frequent. 'Failed to yield right of way' crashes doubled from 2 in May 2021 to 4 in May 2022.

Officer-Reported Primary Contributing Cause

No improper driving9 (24.3%)80.0%prior 5
Inattention5 (13.5%)-44.4%prior 9
Failed to yield right of way4 (10.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (8.1%)
Other improper action2 (5.4%)
Driving too fast for conditions1 (2.7%)
Over-correcting/over-steering1 (2.7%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (2.7%)
Visibility obstructed1 (2.7%)
Followed too closely1 (2.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 18 in May 2021 to 31 in May 2022. Crashes on 'Wet' road surfaces significantly decreased from 7 in May 2021 to 2 in May 2022, a 71.4% reduction. Crashes during 'Daylight' conditions also increased from 21 in May 2021 to 27 in May 2022.

Weather

Clear31 (86.1%)
72.2%prior 18
Cloudy2 (5.6%)
Clear/Cloudy1 (2.8%)
Cloudy/Rain1 (2.8%)
Rain1 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Weather condition at time of crash

Lighting

Daylight27 (75.0%)
28.6%prior 21
Dark - lighted roadway5 (13.9%)
Dark - roadway not lighted3 (8.3%)
Dark - unknown roadway lighting1 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Lighting condition field

Road Surface

Dry35 (94.6%)
52.2%prior 23
Wet2 (5.4%)
-71.4%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 55 in May 2021 to 67 in May 2022. FORD remained the top vehicle make involved, increasing from 8 vehicles in May 2021 to 10 in May 2022. The 65+ age group saw a substantial increase in involvement, from 5 persons in May 2021 to 13 in May 2022, a 160% rise.

Top Vehicle Makes (67 vehicles)

1
FORD10 (14.9%)
25.0%prior 8
2
TOYOTA9 (13.4%)
50.0%prior 6
3
CHEVROLET8 (11.9%)
60.0%prior 5
4
HONDA6 (9%)
-25.0%prior 8
5
JEEP4 (6%)
6
NISSAN4 (6%)
7
MAZDA3 (4.5%)
8
MITS3 (4.5%)
9
ACURA2 (3%)
10
GMC2 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Vehicle unit records

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

Sex Distribution (65 persons with recorded sex)

Male45 (69.2%)
18.4%prior 38
Female20 (30.8%)
-13.0%prior 23

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 25 MPH speed zones increased from 12 in May 2021 to 22 in May 2022, an 83.3% rise. Crashes in 35 MPH zones also increased from 5 in May 2021 to 6 in May 2022. There were no fatal crashes reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-05-01 to 2022-05-31 · 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: 2022-05-01 through 2022-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-05-01 through 2022-05-31 (31 days)
  • Geographic scope: FAIRHAVEN, MA
  • Total crash records analyzed: 37
  • Total persons involved: 82
  • Total vehicles involved: 67

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: May 2022." Published June 21, 2026. Reporting period: 2022-05-01 to 2022-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/fairhaven/may-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 — May 2022 | ThatCarHitMe.com