Monthly Traffic Safety Analysis

105 CRASHES IN
HAVERHILL, MA
FEBRUARY 2024

All metrics benchmarked againstFebruary 2023

Total crashes in February 2024 decreased to 105, a 5.4% reduction from 111 crashes in February 2023. The most notable shift was a 300% increase in serious injury crashes, rising from 1 in the prior period to 4 in the current period.

105

-5.4%was 111

Total Crash Events

0

Persons Killed

22

-4.3%was 23

Persons Injured

11

-52.2%was 23

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash trends for February show a slight decrease year-over-year, with total crashes falling by 6, from 111 in February 2023 to 105 in February 2024. Total injuries also saw a minor reduction, decreasing by 1 from 23 to 22, while fatalities remained at 0 in both periods.

11

Hit-and-Run Crashes — February 2024

-52.2% vs prior (23)

Hit-and-run incidents decreased significantly year-over-year. The number of hit-and-run crashes fell from 23 in February 2023 to 11 in February 2024. This also led to a reduction in the hit-and-run rate, which dropped from 20.7% to 10.5% of all crashes.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 0%

1

Cyclists Injured

Prior: 0%

20

Motorists Injured

Prior: 22-9.1%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · 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 year-over-year. In February 2023, Monday was the peak day for crashes with 23 incidents, whereas in February 2024, Friday became the peak day with 21 crashes. The peak hour for crashes shifted from 4 p.m. in February 2023 to 5 p.m. in February 2024, with both hours recording 11 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While total injuries remained relatively stable, the distribution of injury severity changed. Serious injury (A) crashes increased from 1 in February 2023 to 4 in February 2024, representing a 300% increase. Conversely, minor injury (B) crashes decreased from 12 to 8, and possible injury (C) crashes increased from 1 to 6. Fatal crashes remained at 0 in both periods.

Outcome by Severity (Crash Events)

Serious Injury4serious injury crashes3.8%
300.0%prior 1
Minor Injury8minor injury crashes7.6%
-33.3%prior 12
Possible Injury6possible injury crashes5.7%
500.0%prior 1
No Injury81no injury crashes77.1%
-8.0%prior 88

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Most severe injury per crash record

Top Contributing Factors

Several contributing factors saw notable year-over-year changes. Crashes attributed to "Failed to yield right of way" increased by 9, from 7 in February 2023 to 16 in February 2024. Conversely, "Failure to keep in proper lane or running off road" crashes decreased by 9, from 13 to 4. "Driving too fast for conditions," which accounted for 9 crashes in the prior period, was not a top factor in the current period.

Officer-Reported Primary Contributing Cause

Inattention36 (34.3%)-2.7%prior 37
Failed to yield right of way16 (15.2%)128.6%prior 7
No improper driving7 (6.7%)16.7%prior 6
Disregarded traffic signs, signals, road markings5 (4.8%)
Other improper action4 (3.8%)
Followed too closely4 (3.8%)-33.3%prior 6
Glare4 (3.8%)
Failure to keep in proper lane or running off road4 (3.8%)-69.2%prior 13
Distracted4 (3.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner3 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crash conditions showed shifts, particularly regarding weather and road surface. Crashes occurring in "Clear" weather increased from 75 to 84, while crashes in "Snow" conditions decreased significantly from 15 to 0. Similarly, crashes on "Dry" road surfaces increased from 81 to 94, whereas those on "Snow" surfaces dropped from 14 to 0. For lighting, crashes in "Dark - lighted roadway" increased from 26 to 33, while those in "Dark - roadway not lighted" decreased from 9 to 2.

Weather

Clear84 (81.6%)
12.0%prior 75
Cloudy10 (9.7%)
11.1%prior 9
Rain5 (4.9%)
Clear/Clear4 (3.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Weather condition at time of crash

Lighting

Daylight64 (61.5%)
-4.5%prior 67
Dark - lighted roadway33 (31.7%)
26.9%prior 26
Dusk5 (4.8%)
-16.7%prior 6
Dark - roadway not lighted2 (1.9%)
-77.8%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Lighting condition field

Road Surface

Dry94 (89.5%)
16.0%prior 81
Wet10 (9.5%)
-16.7%prior 12
Ice1 (1.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes remained stable, with 194 in February 2023 and 192 in February 2024. Among vehicle makes, HONDA increased its involvement from 34 to 41, and HYUNDAI saw an increase from 4 to 10. The age group 0-15 years old saw a significant increase in persons involved, rising from 14 to 32, while the 45-54 age group decreased from 36 to 28.

Top Vehicle Makes (192 vehicles)

1
HONDA41 (21.4%)
20.6%prior 34
2
TOYOTA24 (12.5%)
26.3%prior 19
3
FORD22 (11.5%)
22.2%prior 18
4
CHEVROLET15 (7.8%)
-28.6%prior 21
5
JEEP11 (5.7%)
37.5%prior 8
6
HYUNDAI10 (5.2%)
7
SUBARU8 (4.2%)
-20.0%prior 10
8
NISSAN7 (3.6%)
-30.0%prior 10
9
VOLKSWAGEN6 (3.1%)
10
MERCEDES-BENZ5 (2.6%)
-44.4%prior 9

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Vehicle unit records

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

Sex Distribution (236 persons with recorded sex)

Female123 (52.1%)
33.7%prior 92
Male113 (47.9%)
-8.9%prior 124

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph zones increased from 34 in February 2023 to 47 in February 2024, making it the most frequent speed zone for crashes in the current period. Crashes in 35 mph zones decreased from 28 to 24. There were no fatal crashes recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-02-01 to 2024-02-29 · 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: 2024-02-01 through 2024-02-29
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-02-01 through 2024-02-29 (29 days)
  • Geographic scope: HAVERHILL, MA
  • Total crash records analyzed: 105
  • Total persons involved: 261
  • Total vehicles involved: 192

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: February 2024." Published June 21, 2026. Reporting period: 2024-02-01 to 2024-02-29. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/haverhill/february-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

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