Monthly Traffic Safety Analysis

44 CRASHES IN
FAIRHAVEN, MA
JULY 2023

All metrics benchmarked againstJuly 2022

In July 2023, FAIRHAVEN, MA experienced 44 total crashes, a decrease of 13.7% compared to the 51 crashes reported in July 2022. This period saw a notable reduction in serious injuries, decreasing from 3 to 1 year-over-year.

44

-13.7%was 51

Total Crash Events

0

Persons Killed

11

-8.3%was 12

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, total crashes in FAIRHAVEN, MA decreased year-over-year, falling from 51 in July 2022 to 44 in July 2023. This represents a 13.7% reduction in the total number of crash incidents.

3

Hit-and-Run Crashes — July 2023

0.0% vs prior (3)

The number of hit-and-run crashes remained constant at 3 in both July 2022 and July 2023. However, the hit-and-run rate increased from 5.9% in July 2022 to 6.8% in July 2023, due to a lower overall crash count 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%

10

Motorists Injured

Prior: 100.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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 Saturday in July 2022 (13 crashes) to Monday in July 2023 (10 crashes). The peak hour also changed, moving from 11 AM in July 2022 (9 crashes) to 10 PM in July 2023 (4 crashes).

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities reported in either July 2022 or July 2023. The number of serious injuries (Severity A) decreased from 3 to 1, while minor injuries (Severity B) increased from 3 to 6. The proportion of serious injury crashes decreased from 5.9% to 2.3% of total crashes, and possible injury crashes increased from 3.9% to 9.1% of total crashes.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.3%
-66.7%prior 3
Minor Injury6minor injury crashes13.6%
100.0%prior 3
Possible Injury4possible injury crashes9.1%
100.0%prior 2
No Injury23no injury crashes52.3%
-37.8%prior 37

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record

Top Contributing Factors

The count of 'Inattention' as a contributing factor decreased significantly from 11 in July 2022 to 5 in July 2023, a 54.5% reduction. Conversely, 'No improper driving' increased from 7 to 10 incidents, a 42.9% rise. 'Distracted' driving incidents also saw an increase from 2 to 3, representing a 50% change in count.

Officer-Reported Primary Contributing Cause

No improper driving10 (22.7%)42.9%prior 7
Inattention5 (11.4%)-54.5%prior 11
Distracted3 (6.8%)
Failure to keep in proper lane or running off road3 (6.8%)
Physical impairment2 (4.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (4.5%)
Other improper action2 (4.5%)
Over-correcting/over-steering2 (4.5%)
Glare1 (2.3%)
Exceeded authorized speed limit1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Clear weather conditions remained the dominant factor in both periods, accounting for 40 crashes in July 2022 and 41 in July 2023. Crashes occurring in daylight decreased from 44 in July 2022 to 33 in July 2023, while crashes in dark conditions (lighted or not lighted) collectively increased from 4 to 8. Dry road surfaces were prevalent in both years, with 49 crashes in July 2022 and 42 in July 2023.

Weather

Clear41 (93.2%)
2.5%prior 40
Cloudy2 (4.5%)
-66.7%prior 6
Clear/Cloudy1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash

Lighting

Daylight33 (75.0%)
-25.0%prior 44
Dark - lighted roadway4 (9.1%)
Dark - roadway not lighted4 (9.1%)
Dusk2 (4.5%)
Dawn1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field

Road Surface

Dry42 (95.5%)
-14.3%prior 49
Sand, mud, dirt, oil, gravel1 (2.3%)
Wet1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 102 in July 2022 to 76 in July 2023. The top vehicle makes, Toyota and Ford, maintained their positions, with Toyota decreasing from 13 to 12 and Ford remaining at 10. The 16-20 age group saw a decrease in persons involved from 15 to 9, and the 55-64 age group decreased from 21 to 10.

Top Vehicle Makes (76 vehicles)

1
TOYOTA12 (15.8%)
-7.7%prior 13
2
FORD10 (13.2%)
0.0%prior 10
3
HONDA5 (6.6%)
-44.4%prior 9
4
KIA4 (5.3%)
5
NISSAN4 (5.3%)
-50.0%prior 8
6
JEEP4 (5.3%)
-33.3%prior 6
7
CHEVROLET4 (5.3%)
8
VOLKSWAGEN4 (5.3%)
9
MAZDA3 (3.9%)
-62.5%prior 8
10
GMC3 (3.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records

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

Sex Distribution (72 persons with recorded sex)

Male43 (59.7%)
-24.6%prior 57
Female29 (40.3%)
-38.3%prior 47

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 25 mph zones decreased from 25 in July 2022 to 16 in July 2023. Conversely, crashes in 35 mph zones increased from 9 to 13 during the same period. No fatalities were reported in any speed zone for either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-07-01 through 2023-07-31 (31 days)
  • Geographic scope: FAIRHAVEN, MA
  • Total crash records analyzed: 44
  • Total persons involved: 92
  • Total vehicles involved: 76

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: July 2023." Published June 21, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/fairhaven/july-2023-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 — July 2023 | ThatCarHitMe.com