Monthly Traffic Safety Analysis

143 CRASHES IN
HAVERHILL, MA
JUNE 2024

All metrics benchmarked againstJune 2023

In June 2024, HAVERHILL experienced 143 crashes, a 3.6% increase compared to the 138 crashes reported in June 2023. A notable shift was the increase in serious injury crashes, which rose from 0 in the prior period to 3 in the current period.

143

3.6%was 138

Total Crash Events

0

Persons Killed

39

44.4%was 27

Persons Injured

21

-4.5%was 22

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. 11 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a slight increase in crashes year-over-year, with total crashes rising from 138 in June 2023 to 143 in June 2024. This represents an increase of 5 crashes, or 3.6%.

21

Hit-and-Run Crashes — June 2024

-4.5% vs prior (22)

The number of hit-and-run crashes decreased slightly from 22 in June 2023 to 21 in June 2024. The hit-and-run rate also saw a minor decrease, moving from 15.9% in the prior period to 14.7% in the current period.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

3

Cyclists Injured

Prior: 0%

36

Motorists Injured

Prior: 2638.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · 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 Friday with 21 crashes in June 2023 to Monday with 25 crashes in June 2024. The peak crash hour also changed, moving from 4 PM with 18 crashes in June 2023 to 6 PM with 14 crashes in June 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at 0 in both periods. Total injuries increased by 44.4%, from 27 in June 2023 to 39 in June 2024. Serious injury crashes (severity A) increased from 0 in the prior period to 3 in the current period, while minor injury crashes (severity B) rose from 16 to 26.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes2.1%
Minor Injury26minor injury crashes18.2%
62.5%prior 16
Possible Injury2possible injury crashes1.4%
-60.0%prior 5
No Injury101no injury crashes70.6%
-4.7%prior 106

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, Inattention, saw a slight increase in count from 41 in June 2023 to 44 in June 2024. Crashes attributed to 'Failed to yield right of way' decreased significantly from 24 to 13, a 45.8% reduction in count. Conversely, 'Followed too closely' increased by 77.8% in count, from 9 to 16, and 'Failure to keep in proper lane or running off road' increased by 250% in count, from 4 to 14.

Officer-Reported Primary Contributing Cause

Inattention44 (30.8%)7.3%prior 41
Followed too closely16 (11.2%)77.8%prior 9
Failure to keep in proper lane or running off road14 (9.8%)
No improper driving14 (9.8%)-12.5%prior 16
Failed to yield right of way13 (9.1%)-45.8%prior 24
Over-correcting/over-steering5 (3.5%)
Physical impairment4 (2.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (2.1%)
Other improper action3 (2.1%)
Distracted3 (2.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 76 to 119, while those in 'Rain' decreased from 19 to 7. Similarly, crashes on 'Dry' road surfaces increased from 101 to 134, whereas crashes on 'Wet' surfaces decreased substantially from 35 to 7. Crashes in 'Dark - lighted roadway' conditions increased from 4 to 18.

Weather

Clear119 (84.4%)
56.6%prior 76
Cloudy11 (7.8%)
-60.7%prior 28
Rain7 (5.0%)
-63.2%prior 19
Clear/Clear3 (2.1%)
Cloudy/Clear1 (0.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Weather condition at time of crash

Lighting

Daylight113 (79.6%)
-5.8%prior 120
Dark - lighted roadway18 (12.7%)
Dusk5 (3.5%)
0.0%prior 5
Dark - roadway not lighted4 (2.8%)
Dawn1 (0.7%)
Dark - unknown roadway lighting1 (0.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Lighting condition field

Road Surface

Dry134 (94.4%)
32.7%prior 101
Wet7 (4.9%)
-80.0%prior 35
Water (standing, moving)1 (0.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved remained relatively stable, with 257 in June 2023 and 254 in June 2024. Honda vehicles involved in crashes increased from 34 to 46, while Toyota vehicles decreased from 46 to 32. The 0-15 age group saw an increase in persons involved from 17 to 28, and the 65+ age group also increased from 24 to 36.

Top Vehicle Makes (254 vehicles)

1
HONDA46 (18.1%)
35.3%prior 34
2
TOYOTA32 (12.6%)
-30.4%prior 46
3
FORD31 (12.2%)
10.7%prior 28
4
CHEVROLET28 (11%)
3.7%prior 27
5
NISSAN12 (4.7%)
-20.0%prior 15
6
HYUNDAI12 (4.7%)
7
ACURA10 (3.9%)
100.0%prior 5
8
SUBARU9 (3.5%)
-18.2%prior 11
9
KIA8 (3.1%)
14.3%prior 7
10
GMC7 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Vehicle unit records

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

Sex Distribution (285 persons with recorded sex)

Male156 (54.7%)
5.4%prior 148
Female129 (45.3%)
-5.1%prior 136

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph zones slightly decreased from 50 to 48, and those in 35 mph zones decreased from 39 to 27. Conversely, crashes in 65 mph zones increased from 15 to 19. No fatal crashes were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · 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: 2024-06-01 through 2024-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-06-01 through 2024-06-30 (30 days)
  • Geographic scope: HAVERHILL, MA
  • Total crash records analyzed: 143
  • Total persons involved: 334
  • Total vehicles involved: 254

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: June 2024." Published June 21, 2026. Reporting period: 2024-06-01 to 2024-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/haverhill/june-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

Haverhill, MA Crash Report — June 2024 | ThatCarHitMe.com