Monthly Traffic Safety Analysis

93 CRASHES IN
HAVERHILL, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

In August 2025, total crashes in HAVERHILL decreased to 93, down from 141 in August 2024, representing a 34.04% reduction. This notable decrease in overall incidents was accompanied by a significant reduction in hit-and-run crashes.

93

▼ -34.0%was 141

Total Crash Events

0

Persons Killed

30

▼ -21.1%was 38

Persons Injured

16

▼ -40.7%was 27

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crashes decreased by 48, from 141 in August 2024 to 93 in August 2025. This represents a 34.04% reduction in total crashes year-over-year.

16

Hit-and-Run Crashes — August 2025

▼ -40.7% vs prior (27)

Hit-and-run crashes decreased from 27 in August 2024 to 16 in August 2025. The hit-and-run rate also decreased from 19.1% to 17.2% year-over-year.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

30

Motorists Injured

Prior: 30→0.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

In August 2025, the peak day for crashes was Tuesday with 17 incidents, while in August 2024, Saturday and Thursday shared the peak with 27 crashes each. The peak crash hour shifted from 4 PM with 18 crashes in August 2024 to 10 AM with 9 crashes in August 2025, indicating a change in the busiest time for incidents.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Both August 2024 and August 2025 reported 0 total fatalities and 0 fatal crashes. Total injuries decreased from 38 in August 2024 to 30 in August 2025, with minor injuries (B) decreasing from 22 to 12. Serious injuries (A) remained constant at 2 in both periods.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes2.2%
→0.0%prior 2
Minor Injury12minor injury crashes12.9%
↓-45.5%prior 22
Possible Injury4possible injury crashes4.3%
↓-20.0%prior 5
No Injury64no injury crashes68.8%
↓-34.7%prior 98

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Inattention' decreased from 45 in August 2024 to 32 in August 2025, while 'Failed to yield right of way' crashes also saw a reduction from 16 to 7. 'Followed too closely' crashes slightly increased from 7 to 8. Crashes involving 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' decreased from 6 to 3, and 'Distracted' crashes decreased from 6 to 2.

Officer-Reported Primary Contributing Cause

Inattention32 (34.4%)↓-28.9%prior 45
No improper driving11 (11.8%)↓-35.3%prior 17
Followed too closely8 (8.6%)↑14.3%prior 7
Failed to yield right of way7 (7.5%)↓-56.3%prior 16
Failure to keep in proper lane or running off road7 (7.5%)↓-12.5%prior 8
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (3.2%)↓-50.0%prior 6
Over-correcting/over-steering3 (3.2%)
Visibility obstructed3 (3.2%)
Other improper action3 (3.2%)
Disregarded traffic signs, signals, road markings2 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 103 in August 2024 to 74 in August 2025, mirroring a drop in 'Cloudy' and 'Rain' incidents. The number of crashes on 'Dry' road surfaces decreased from 125 to 90, and on 'Wet' surfaces from 14 to 3. Crashes in 'Daylight' decreased from 108 to 64, while those in 'Dark - lighted roadway' increased from 20 to 23.

Weather

Clear74 (79.6%)
↓-28.2%prior 103
Clear/Clear9 (9.7%)
↑80.0%prior 5
Cloudy6 (6.5%)
↓-66.7%prior 18
Clear/Cloudy2 (2.2%)
Rain2 (2.2%)
↓-81.8%prior 11

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Weather condition at time of crash

Lighting

Daylight64 (69.6%)
↓-40.7%prior 108
Dark - lighted roadway23 (25.0%)
↑15.0%prior 20
Dusk3 (3.3%)
↓-57.1%prior 7
Dark - roadway not lighted2 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Lighting condition field

Road Surface

Dry90 (96.8%)
↓-28.0%prior 125
Wet3 (3.2%)
↓-78.6%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 250 in August 2024 to 173 in August 2025. All reported age groups saw a decrease in person counts, with the 65+ age group experiencing the largest numerical drop from 40 to 20 persons. Honda and Toyota vehicles involved both decreased, while Volvo vehicles involved increased from 1 to 6, and BMW from 2 to 5.

Top Vehicle Makes (173 vehicles)

1
TOYOTA24 (13.9%)
↓-29.4%prior 34
2
HONDA24 (13.9%)
↓-47.8%prior 46
3
CHEVROLET15 (8.7%)
↓-28.6%prior 21
4
FORD14 (8.1%)
↓-44.0%prior 25
5
NISSAN13 (7.5%)
↑8.3%prior 12
6
SUBARU7 (4%)
↓-46.2%prior 13
7
JEEP7 (4%)
↓-36.4%prior 11
8
VOLVO6 (3.5%)
9
HYUNDAI6 (3.5%)
↓-25.0%prior 8
10
BMW5 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Vehicle unit records

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

Sex Distribution (178 persons with recorded sex)

Male111 (62.4%)
↓-14.0%prior 129
Female67 (37.6%)
↓-55.0%prior 149

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph zones decreased significantly from 64 in August 2024 to 26 in August 2025, and 35 mph zone crashes also decreased from 35 to 28. Conversely, crashes in 25 mph zones increased from 11 to 16, and in 65 mph zones from 8 to 12. No fatalities were reported in any speed zone for either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · 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: 2025-08-01 through 2025-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-08-01 through 2025-08-31 (31 days)
  • Geographic scope: HAVERHILL, MA
  • Total crash records analyzed: 93
  • Total persons involved: 213
  • Total vehicles involved: 173

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). "HAVERHILL, MA Crash Intelligence Report: August 2025." Published June 21, 2026. Reporting period: 2025-08-01 to 2025-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/haverhill/august-2025-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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Haverhill, MA Crash Report — August 2025 | ThatCarHitMe.com