Monthly Traffic Safety Analysis

100 CRASHES IN
HAVERHILL, MA
JULY 2025

All metrics benchmarked againstJuly 2024

In July 2025, HAVERHILL, MA experienced 100 crashes, a decrease from 108 crashes in July 2024. This represents a 7.41% reduction in total crashes year-over-year. The most notable shift was a significant decrease in hit-and-run crashes, which fell by 38.46%.

100

-7.4%was 108

Total Crash Events

0

Persons Killed

29

-6.5%was 31

Persons Injured

16

-38.5%was 26

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 · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for July 2025 in HAVERHILL, MA indicates a downward trend compared to July 2024. Total crashes decreased by 7.41%, from 108 to 100, while total injuries also saw a reduction from 31 to 29.

16

Hit-and-Run Crashes — July 2025

-38.5% vs prior (26)

Hit-and-run crashes decreased significantly from 26 in July 2024 to 16 in July 2025, representing a 38.46% reduction in count. The hit-and-run rate also fell from 24.1% to 16% year-over-year, indicating a downward trend.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

2

Pedestrians Injured

Prior: 1100.0%

2

Cyclists Injured

Prior: 20.0%

25

Motorists Injured

Prior: 28-10.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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 slightly year-over-year; the peak crash day moved from Monday with 21 crashes in July 2024 to Wednesday with 21 crashes in July 2025. The peak crash hour also changed, occurring at 4 p.m. with 12 crashes in July 2024 and at 3 p.m. with 15 crashes in July 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at zero for both July 2024 and July 2025. However, serious injury crashes increased from 1 in July 2024 to 4 in July 2025, representing a rise from 0.9% to 4% of total crashes. Conversely, possible injury crashes decreased significantly from 8 to 1 year-over-year.

Outcome by Severity (Crash Events)

Serious Injury4serious injury crashes4%
300.0%prior 1
Minor Injury20minor injury crashes20%
25.0%prior 16
Possible Injury1possible injury crashes1%
-87.5%prior 8
No Injury65no injury crashes65%
-9.7%prior 72

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'Inattention' increased by 7 crashes, from 35 in July 2024 to 42 in July 2025. 'Failed to yield right of way' also saw an increase of 5 crashes, rising from 7 to 12. Notably, crashes attributed to 'speeding' decreased substantially from 7 in July 2024 to just 1 in July 2025.

Officer-Reported Primary Contributing Cause

Inattention42 (42%)20.0%prior 35
Failed to yield right of way12 (12%)71.4%prior 7
No improper driving12 (12%)-20.0%prior 15
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner6 (6%)
Failure to keep in proper lane or running off road4 (4%)
Disregarded traffic signs, signals, road markings3 (3%)
Illness2 (2%)
Made an improper turn2 (2%)
Distracted2 (2%)
Over-correcting/over-steering2 (2%)-60.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 87 in July 2024 to 71 in July 2025, while those in 'Clear/Clear' conditions increased from 3 to 14. The number of crashes on 'Dry' road surfaces decreased from 104 to 92, and crashes on 'Wet' surfaces increased from 4 to 6 year-over-year.

Weather

Clear71 (72.4%)
-18.4%prior 87
Clear/Clear14 (14.3%)
Cloudy7 (7.1%)
-36.4%prior 11
Rain3 (3.1%)
Rain/Cloudy2 (2.0%)
Fog, smog, smoke1 (1.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash

Lighting

Daylight78 (78.8%)
-4.9%prior 82
Dark - lighted roadway14 (14.1%)
0.0%prior 14
Dusk4 (4.0%)
Dawn2 (2.0%)
Dark - roadway not lighted1 (1.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Lighting condition field

Road Surface

Dry92 (93.9%)
-11.5%prior 104
Wet6 (6.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes remained relatively stable, increasing slightly from 187 to 189. There was a notable shift in the age distribution of persons involved, with the 0-15 age group decreasing from 16 to 8 and the 16-20 age group decreasing from 31 to 15. Conversely, the 65+ age group saw an increase from 22 to 28 persons involved.

Top Vehicle Makes (189 vehicles)

1
HONDA30 (15.9%)
11.1%prior 27
2
TOYOTA28 (14.8%)
33.3%prior 21
3
CHEVROLET16 (8.5%)
14.3%prior 14
4
FORD15 (7.9%)
-31.8%prior 22
5
NISSAN10 (5.3%)
0.0%prior 10
6
SUBARU10 (5.3%)
-28.6%prior 14
7
JEEP6 (3.2%)
-53.8%prior 13
8
BMW5 (2.6%)
0.0%prior 5
9
KIA5 (2.6%)
10
MERCEDES-BENZ4 (2.1%)
-20.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Vehicle unit records

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

Sex Distribution (181 persons with recorded sex)

Male104 (57.5%)
-9.6%prior 115
Female77 (42.5%)
-10.5%prior 86

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · Person-level records linked to crash events

Speed Limit Zones

Fatal crash rates remained at zero across all speed zones in both periods. Crashes in 35 mph speed zones decreased from 27 in July 2024 to 20 in July 2025. Additionally, crashes in 65 mph speed zones saw a notable reduction from 12 to 4 year-over-year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-07-01 through 2025-07-31 (31 days)
  • Geographic scope: HAVERHILL, MA
  • Total crash records analyzed: 100
  • Total persons involved: 228
  • Total vehicles involved: 189

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: July 2025." Published June 21, 2026. Reporting period: 2025-07-01 to 2025-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/haverhill/july-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 — July 2025 | ThatCarHitMe.com