ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · HAVERHILL, MA · DECEMBER 2023
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/december-2023-report
Monthly Traffic Safety Analysis
157 CRASHES IN
HAVERHILL, MA
DECEMBER 2023
Total crashes in HAVERHILL, MA decreased by 5.42% from 166 in December 2022 to 157 in December 2023. Concurrently, total injuries decreased from 40 to 34. The most notable shift was the increase in total fatalities from 0 in the prior period to 1 in the current period.
157
▼ -5.4%was 166
Total Crash Events
1
Persons Killed
34
▼ -15.0%was 40
Persons Injured
21
▼ -19.2%was 26
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) 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 · 2023-12-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, crashes in HAVERHILL, MA saw a slight decline year-over-year, decreasing by 5.42% from 166 to 157 total crashes. Total injuries also decreased by 15%, from 40 to 34. However, a significant change was observed in crash outcomes, with total fatalities increasing from 0 to 1.
21
Hit-and-Run Crashes — December 2023
▼ -19.2% vs prior (26)
Hit-and-run crashes decreased from 26 in December 2022 to 21 in December 2023, representing a 19.23% decrease in count. The hit-and-run crash rate also decreased year-over-year, from 15.7% to 13.4% of total crashes.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Motorists Killed
0
Pedestrians Injured
34
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · 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 Monday with 30 crashes in December 2022 to Saturday with 32 crashes in December 2023. The peak hour for crashes also changed, moving from 6 PM with 18 crashes in the prior period to 11 AM with 17 crashes in the current period. Crashes on Sunday decreased from 30 to 19, while Saturday crashes increased from 17 to 32.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The fatal crash rate increased from 0% in December 2022 to 0.64% in December 2023, with one fatal crash reported. Serious injuries decreased from 2 crashes (1.2% share) to 1 crash (0.6% share), and minor injuries decreased from 24 crashes (14.5% share) to 17 crashes (10.8% share). Possible injury crashes saw a slight increase from 5 crashes (3% share) to 6 crashes (3.8% share).
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Most severe injury per crash record
Top Contributing Factors
The contributing factor 'Inattention' increased significantly, rising from 32 crashes to 43 crashes, representing a 34.38% increase in count, and its share of total crashes grew from 19.3% to 27.4%. Conversely, 'No improper driving' decreased by 26.67% in count, from 30 crashes to 22 crashes, and 'Failed to yield right of way' decreased by 25.93%, from 27 crashes to 20 crashes. 'Followed too closely' saw a notable increase of 114.29% in count, from 7 crashes to 15 crashes.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Weather-related crashes showed shifts, with incidents during 'Rain' increasing from 15 to 25, while crashes during 'Snow' decreased from 19 to 0. Correspondingly, 'Wet' road surface crashes increased from 27 to 36, whereas 'Ice' and 'Snow' related road surface crashes decreased significantly from 14 to 3 and 13 to 0, respectively. Crashes occurring during 'Daylight' decreased slightly from 73 to 70, while crashes during 'Dusk' increased from 5 to 10.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Road surface condition field
Vehicles & Demographics
The total number of vehicles involved in crashes decreased from 296 in December 2022 to 287 in December 2023. There was a decrease in person counts for younger age groups, with the 0-15 age group decreasing from 34 to 18, and the 16-20 age group decreasing from 49 to 42. Conversely, older age groups saw increases, with the 65+ age group rising from 26 to 41, and the 35-44 age group increasing from 59 to 66. Among top vehicle makes, HONDA decreased from 54 to 48, while TOYOTA increased from 38 to 41 and FORD increased from 30 to 35.
Top Vehicle Makes (287 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Vehicle unit records
47 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (331 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · Person-level records linked to crash events
Speed Limit Zones
The 15 mph speed zone recorded one fatal crash in December 2023, compared to zero in December 2022, making it the only zone with a fatal crash across both periods. Crashes in the 30 mph speed zone decreased from 73 to 56, while crashes in the 65 mph speed zone increased from 10 to 16. The 25 mph speed zone maintained a consistent count of 18 crashes across both periods.
Fatal crashes by zone: 15 mph: 1 of 4 (25%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-12-01 to 2023-12-31 · 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: 2023-12-01 through 2023-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2023-12-01 through 2023-12-31 (31 days)
- Geographic scope: HAVERHILL, MA
- Total crash records analyzed: 157
- Total persons involved: 379
- Total vehicles involved: 287
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: December 2023." Published June 21, 2026. Reporting period: 2023-12-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/haverhill/december-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2023-12-01 – 2023-12-31
Generated: June 21, 2026 · All rights reserved