ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · HAVERHILL, MA · 2022
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/2022-annual-report
Yearly Traffic Safety Analysis
1,602 CRASHES IN
HAVERHILL, MA
2022
In Haverhill, total vehicle crashes increased by 5.3% from 1,522 in 2021 to 1,602 in 2022. While the number of crashes and injuries rose, the number of fatalities decreased from 4 in the prior year to 2 in the current year. A notable shift occurred in crashes involving pedestrians, which increased from 19 in 2021 to 37 in 2022.
1,602
▲ 5.3%was 1,522
Total Crash Events
2
▼ -50.0%was 4
Persons Killed
430
▲ 10.8%was 388
Persons Injured
259
▲ 16.7%was 222
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 132 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend shows an increase in crash incidents year-over-year. Total crashes rose from 1,522 to 1,602, and total injuries increased from 388 to 430. However, the number of fatalities was halved, decreasing from 4 in 2021 to 2 in 2022, indicating a rise in collision frequency but a drop in the most severe outcomes.
259
Hit-and-Run Crashes — 2022
▲ 16.7% vs prior (222)
Hit-and-run incidents trended upward between the two periods. The total count of hit-and-run crashes increased from 222 in 2021 to 259 in 2022. Correspondingly, the hit-and-run rate as a percentage of all crashes also rose, from 14.6% in the prior year to 16.2% in the current year.
Vulnerable Road User Casualties
2
Pedestrians Killed
0
Cyclists Killed
0
Motorists Killed
0
Other Killed
25
Pedestrians Injured
12
Cyclists Injured
385
Motorists Injured
8
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The daily pattern of crashes remained consistent, with Friday being the peak day for collisions in both 2021 (261 crashes) and 2022 (267 crashes). However, the peak hour for crashes shifted earlier in the day, moving from 5 p.m. in 2021 (126 crashes) to 3 p.m. in 2022 (136 crashes). Crashes during the 2 p.m. hour saw a significant increase from 91 to 129 year-over-year.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity saw a downward shift year-over-year. The number of fatal crashes decreased from 4 to 2, and the fatal crash rate per 100 crashes fell from 0.26 to 0.12. The proportion of crashes resulting in minor injuries increased from 14.7% in 2021 to 16.2% in 2022, while the share of crashes with serious injuries (1.6% to 1.4%) and no injuries (72.4% to 71.3%) saw slight decreases.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record
Top Contributing Factors
Inattention remained the top contributing factor in both periods, with the count of such incidents rising from 420 in 2021 to 456 in 2022, an 8.6% increase. 'Failed to yield right of way' also saw a notable increase in count, from 158 to 189 incidents. The number of crashes attributed to 'Driving too fast for conditions' grew by 34.1%, from 41 incidents in 2021 to 55 in 2022.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Year-over-year, the distribution of crashes across lighting and road surface conditions remained largely stable, with most incidents in both periods occurring in daylight (1,061 in 2022 vs. 985 in 2021) and on dry roads (1,240 vs. 1,178). However, crashes on icy surfaces more than tripled, increasing from 13 in 2021 to 45 in 2022. Crashes in snowy weather also increased from 36 to 50.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The top five vehicle makes involved in crashes—Honda, Toyota, Ford, Chevrolet, and Nissan—were identical in both 2022 and 2021, with minimal changes in their respective counts. In terms of persons involved, the 0-15 age group saw a significant increase in representation, growing from 220 individuals in 2021 to 315 in 2022. Conversely, the 26-34 age group saw a decrease in involvement from 607 to 549 persons.
Top Vehicle Makes (2,864 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
498 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (3,206 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes became more concentrated in 30 mph zones, which saw an increase from 544 incidents in 2021 to 622 in 2022. Fatalities shifted away from higher speed zones; in 2021, two fatalities occurred in 65 mph zones, whereas in 2022, no fatalities were recorded in zones above 35 mph. The two fatalities in 2022 occurred in 30 mph and 35 mph zones, consistent with the single fatality in each of those zones in the prior year.
Fatal crashes by zone: 30 mph: 1 of 622 (0.161%) · 35 mph: 1 of 394 (0.254%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: HAVERHILL, MA
- Total crash records analyzed: 1,602
- Total persons involved: 3,680
- Total vehicles involved: 2,864
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: 2022." Published June 21, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/haverhill/2022-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: 2022-01-01 – 2022-12-31
Generated: June 21, 2026 · All rights reserved