ThatCarHitMe.com
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YEAR-OVER-YEAR CRASH REPORT · HAVERHILL, MA · 2025
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/haverhill/2025-annual-report
Yearly Traffic Safety Analysis
1,527 CRASHES IN
HAVERHILL, MA
2025
In 2025, Haverhill recorded 1,527 total traffic crashes, an 8% decrease from the 1,660 crashes reported in 2024. Despite the overall decline in collisions, the most significant year-over-year change was the occurrence of fatalities. The city experienced 4 deaths in 3 separate fatal crashes in 2025, whereas no fatalities were recorded in the prior year.
1,527
▼ -8.0%was 1,660
Total Crash Events
4
Persons Killed
410
▼ -11.4%was 463
Persons Injured
214
▼ -12.7%was 245
Hit-and-Run Crashes
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 133 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crashes in Haverhill showed a downward trend, decreasing by 8% from 1,660 in 2024 to 1,527 in 2025. The number of people injured in these incidents also declined by 11.4%, from 463 to 410. This general decrease in crash volume and injuries contrasts with the rise in fatalities from zero in 2024 to four in 2025.
214
Hit-and-Run Crashes — 2025
▼ -12.7% vs prior (245)
The number of hit-and-run incidents decreased from 245 in 2024 to 214 in 2025, a reduction of 31 crashes. This represents a downward trend in both the absolute count and the rate of occurrence. The hit-and-run rate, calculated as a percentage of total crashes, fell from 14.8% in the prior year to 14.0% in the current year.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Cyclists Killed
3
Motorists Killed
0
Other Killed
29
Pedestrians Injured
16
Cyclists Injured
356
Motorists Injured
9
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between the two years. In 2025, the peak day for crashes was Monday with 234 incidents, a change from 2024 when Tuesday saw the most crashes at 262. The peak hour for collisions also moved earlier in the day, from 4 PM in 2024 (164 crashes) to a tie between 12 PM and 2 PM in 2025 (120 crashes each).
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
A significant shift in crash severity occurred, with the fatal crash rate rising from 0% in 2024 to 0.2% in 2025, representing 3 fatal incidents. While the proportion of serious injury crashes remained constant at 1.8% for both years, the share of minor injury crashes increased from 14.2% to 15.2% of all collisions. Correspondingly, the share of crashes resulting in no injury decreased from 71.7% in 2024 to 70.0% in 2025.
Severity is per crash event (most severe injury). 3 fatal crash events resulted in 4 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record
Top Contributing Factors
Inattention remained the leading contributing factor in both periods, though its count decreased by 3.8% from 496 crashes in 2024 to 477 in 2025. The second and third most common factors switched ranks; 'Failed to yield right of way' increased in count by 13.5% (from 170 to 193 incidents) to become the second-leading factor, while crashes attributed to 'No improper driving' decreased by 10.3% (from 195 to 175 incidents). 'Driving too fast for conditions' saw a notable 25% reduction in count, from 60 crashes in 2024 to 45 in 2025.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The proportion of crashes occurring in daylight remained stable at approximately 67% in both 2024 and 2025. However, there was a significant shift in crashes related to road surface conditions. The share of crashes on snow or ice-covered roads increased from 4.5% of all crashes in 2024 (74 incidents) to 8.2% in 2025 (126 incidents). This corresponds with a decrease in the proportion of crashes on dry surfaces, which fell from 80.2% to 77.5% year-over-year.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes remained Honda, Toyota, and Ford in both years, with the number of vehicles from each make seeing a slight decline in 2025 in line with the overall crash reduction. Regarding the age of persons involved in crashes, the representation of different age groups shifted slightly. The 26-34 age group's share of total persons involved increased from 14.6% in 2024 to 15.9% in 2025, while the share for the 16-20 age group decreased from 9.8% to 9.2%.
Top Vehicle Makes (2,753 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
457 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (3,005 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across different speed zones shows a general decrease in volume, consistent with the overall trend. For instance, crashes in 30 mph zones fell from 644 to 557, and those in 65 mph zones decreased from 157 to 138. A significant new development in 2025 was the appearance of fatal crashes in specific speed zones where none occurred in 2024; two of the year's fatal crashes happened in 65 mph zones, and one occurred in a 45 mph zone.
Fatal crashes by zone: 45 mph: 1 of 29 (3.448%) · 65 mph: 2 of 138 (1.449%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-01-01 through 2025-12-31 (365 days)
- Geographic scope: HAVERHILL, MA
- Total crash records analyzed: 1,527
- Total persons involved: 3,454
- Total vehicles involved: 2,753
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: 2025." Published June 21, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/haverhill/2025-annual-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2025-01-01 – 2025-12-31
Generated: June 21, 2026 · All rights reserved