ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · HAVERHILL, MA · JANUARY 2024
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/january-2024-report
Monthly Traffic Safety Analysis
160 CRASHES IN
HAVERHILL, MA
JANUARY 2024
In January 2024, HAVERHILL experienced 160 crashes, an increase of 15.11% compared to 139 crashes in January 2023. A notable shift was the absence of fatalities in the current period, down from 1 fatality in the prior year, despite a significant increase in total injuries from 21 to 38. This indicates a rise in crash frequency and injury severity, but a reduction in fatal outcomes.
160
▲ 15.1%was 139
Total Crash Events
0
▼ -100.0%was 1
Persons Killed
38
▲ 81.0%was 21
Persons Injured
25
▲ 38.9%was 18
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. 12 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crash data for HAVERHILL indicates an upward trend in January 2024 compared to January 2023, with total crashes increasing by 21, representing a 15.11% rise. Total injuries also saw a substantial increase of 17, an 80.95% jump year-over-year. However, fatalities decreased from 1 in the prior period to 0 in the current period.
25
Hit-and-Run Crashes — January 2024
▲ 38.9% vs prior (18)
Hit-and-run crashes increased from 18 in January 2023 to 25 in January 2024, representing an increase of 7 incidents. The hit-and-run rate also rose from 12.9% in the prior period to 15.6% in the current period, indicating an upward trend in these types of incidents.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Motorists Killed
6
Pedestrians Injured
32
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns for crashes in January shifted year-over-year. The peak day for crashes moved from Monday, with 36 incidents in the prior period, to Tuesday, with 38 incidents in the current period. Similarly, the peak hour for crashes changed from 3 PM (14 crashes) in the prior year to 4 PM (15 crashes) in the current year.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Fatalities in HAVERHILL decreased from 1 in January 2023 to 0 in January 2024, resulting in a fatal crash rate reduction from 0.72% to 0%. However, total injuries increased by 80.95%, from 21 to 38, with serious injuries (code 'A') appearing in the current period (3 crashes) where none were recorded in the prior period. Minor injury (code 'B') crashes increased from 15 to 19, and possible injury (code 'C') crashes increased from 5 to 9.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factor, 'Inattention,' increased from 37 crashes in the prior period to 41 crashes in the current period, maintaining its top rank. 'Driving too fast for conditions' saw a significant increase of 11 crashes, rising from 12 to 23, and moving from the third to the second most frequent factor. Conversely, 'Failed to yield right of way' decreased by 5 crashes, from 15 to 10, dropping from the second to the fifth position.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in 'Clear' weather conditions increased by 19, from 55 in the prior period to 74 in the current period, while 'Snow' condition crashes increased by 11, from 18 to 29. Regarding road surface, 'Dry' condition crashes increased by 11 (from 64 to 75), and 'Snow' condition crashes also increased by 11 (from 27 to 38), whereas 'Wet' condition crashes decreased by 11, from 40 to 29. For lighting, 'Daylight' crashes rose by 15 (from 69 to 84), and 'Dark - lighted roadway' crashes increased by 10 (from 48 to 58), while 'Dark - roadway not lighted' crashes decreased by 7, from 15 to 8.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes increased from 256 in the prior period to 279 in the current period. Honda and Toyota remained the top two vehicle makes involved, with Honda increasing from 44 to 48 and Toyota from 37 to 40. Ford saw a decrease of 9 vehicles involved (from 34 to 25), while Chevrolet experienced a significant increase of 12 vehicles (from 13 to 25), moving from the sixth to the third most involved make.
Top Vehicle Makes (279 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Vehicle unit records
45 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (293 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · Person-level records linked to crash events
Speed Limit Zones
The number of crashes occurring in 30 mph zones increased by 2, from 59 to 61, and in 35 mph zones by 7, from 32 to 39. Crashes in 65 mph zones also increased by 5, from 13 to 18. Notably, the 30 mph zone, which recorded 1 fatality in the prior period, had no fatalities in the current period.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-01-31 · 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: 2024-01-01 through 2024-01-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-01-31 (31 days)
- Geographic scope: HAVERHILL, MA
- Total crash records analyzed: 160
- Total persons involved: 339
- Total vehicles involved: 279
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: January 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-01-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/haverhill/january-2024-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: 2024-01-01 – 2024-01-31
Generated: June 21, 2026 · All rights reserved