Monthly Traffic Safety Analysis

155 CRASHES IN
HAVERHILL, MA
JULY 2023

All metrics benchmarked againstJuly 2022

In July 2023, HAVERHILL experienced 155 total crashes, a notable increase from the 119 crashes recorded in July 2022. This represents a 30.25% rise in overall crash incidents year-over-year.

155

30.3%was 119

Total Crash Events

0

Persons Killed

51

2.0%was 50

Persons Injured

24

-4.0%was 25

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 · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a substantial increase in crash incidents in HAVERHILL, with total crashes rising from 119 in July 2022 to 155 in July 2023. This marks a 30.25% increase in crashes year-over-year.

24

Hit-and-Run Crashes — July 2023

-4.0% vs prior (25)

The number of hit-and-run crashes slightly decreased from 25 in July 2022 to 24 in July 2023. This resulted in the hit-and-run rate declining from 21% of total crashes in the prior period to 15.5% in the current period.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

3

Pedestrians Injured

Prior: 30.0%

1

Cyclists Injured

Prior: 2-50.0%

45

Motorists Injured

Prior: 450.0%

2

Other Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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 Tuesday in July 2022, which saw 23 incidents, to Monday in July 2023, with 29 incidents. The peak hour also changed from 3 PM in July 2022, recording 17 crashes, to 5 PM in July 2023, with 15 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Both July 2022 and July 2023 reported zero fatalities and fatal crashes. The total number of injured persons increased slightly from 50 in July 2022 to 51 in July 2023. At the crash level, incidents with serious injuries (severity A) decreased from 4 (3.4% share) in July 2022 to 1 (0.6% share) in July 2023, while crashes with minor injuries (severity B) increased from 33 to 35.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes0.6%
-75.0%prior 4
Minor Injury35minor injury crashes22.6%
6.1%prior 33
Possible Injury4possible injury crashes2.6%
300.0%prior 1
No Injury104no injury crashes67.1%
62.5%prior 64

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record

Top Contributing Factors

Inattention remained the leading contributing factor, increasing from 32 crashes in July 2022 to 42 crashes in July 2023, a 31.25% increase in count. Crashes attributed to 'Failed to yield right of way' also rose from 16 to 22, marking a 37.5% increase in count. Conversely, crashes categorized as 'No improper driving' decreased from 16 to 13.

Officer-Reported Primary Contributing Cause

Inattention42 (27.1%)31.3%prior 32
Failed to yield right of way22 (14.2%)37.5%prior 16
No improper driving13 (8.4%)-18.8%prior 16
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner9 (5.8%)80.0%prior 5
Failure to keep in proper lane or running off road8 (5.2%)
Distracted7 (4.5%)40.0%prior 5
Followed too closely6 (3.9%)
Disregarded traffic signs, signals, road markings6 (3.9%)
Other improper action5 (3.2%)
Visibility obstructed4 (2.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 101 in July 2022 to 114 in July 2023. Incidents on 'Wet' road surfaces saw a significant rise, increasing from 7 crashes in July 2022 to 22 crashes in July 2023. The number of crashes occurring during 'Daylight' conditions also increased from 84 to 119 year-over-year.

Weather

Clear114 (74.0%)
12.9%prior 101
Cloudy17 (11.0%)
88.9%prior 9
Rain12 (7.8%)
Rain/Cloudy5 (3.2%)
Clear/Clear3 (1.9%)
-50.0%prior 6
Cloudy/Cloudy1 (0.6%)
Cloudy/Rain1 (0.6%)
Rain/Other1 (0.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash

Lighting

Daylight119 (77.8%)
41.7%prior 84
Dark - lighted roadway26 (17.0%)
36.8%prior 19
Dark - roadway not lighted5 (3.3%)
-28.6%prior 7
Dusk2 (1.3%)
Dawn1 (0.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field

Road Surface

Dry132 (85.7%)
20.0%prior 110
Wet22 (14.3%)
214.3%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 217 in July 2022 to 293 in July 2023, a 35% rise. Honda and Toyota remained the top two vehicle makes involved, with Honda increasing from 31 to 56 and Toyota from 34 to 47. The number of persons involved across all age groups and both male and female categories also increased year-over-year.

Top Vehicle Makes (293 vehicles)

1
HONDA56 (19.1%)
80.6%prior 31
2
TOYOTA47 (16%)
38.2%prior 34
3
FORD31 (10.6%)
0.0%prior 31
4
NISSAN23 (7.8%)
91.7%prior 12
5
CHEVROLET23 (7.8%)
35.3%prior 17
6
JEEP13 (4.4%)
8.3%prior 12
7
KIA10 (3.4%)
8
HYUNDAI9 (3.1%)
50.0%prior 6
9
DODGE9 (3.1%)
12.5%prior 8
10
SUBARU7 (2.4%)
16.7%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records

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

Sex Distribution (320 persons with recorded sex)

Male170 (53.1%)
40.5%prior 121
Female150 (46.9%)
54.6%prior 97

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone increased from 50 in July 2022 to 57 in July 2023. Incidents within the 35 mph zone also rose from 27 to 36. Notably, crashes in the 65 mph zone more than doubled, increasing from 6 to 14 year-over-year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-07-01 through 2023-07-31 (31 days)
  • Geographic scope: HAVERHILL, MA
  • Total crash records analyzed: 155
  • Total persons involved: 385
  • Total vehicles involved: 293

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: July 2023." Published June 21, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/haverhill/july-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

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Haverhill, MA Crash Report — July 2023 | ThatCarHitMe.com