Monthly Traffic Safety Analysis

80 CRASHES IN
ANDOVER, MA
JUNE 2025

All metrics benchmarked againstJune 2024

Total crashes in Andover for June 2025 were 80, a decrease of 27.27% compared to 110 crashes in June 2024. The most notable year-over-year shift was the increase in total fatalities from 0 in June 2024 to 1 in June 2025.

80

▼ -27.3%was 110

Total Crash Events

1

Persons Killed

23

▼ -30.3%was 33

Persons Injured

12

▼ -14.3%was 14

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Andover decreased year-over-year, with total crashes falling from 110 in June 2024 to 80 in June 2025, representing a 27.27% reduction. However, total fatalities increased from 0 to 1, while total injuries decreased from 33 to 23.

12

Hit-and-Run Crashes — June 2025

▼ -14.3% vs prior (14)

The number of hit-and-run crashes decreased from 14 in June 2024 to 12 in June 2025. Despite the decrease in count, the hit-and-run rate increased from 12.7% of total crashes in June 2024 to 15% in June 2025.

Vulnerable Road User Casualties

1

Motorists Killed

Prior: 0→%

23

Motorists Injured

Prior: 32↓-28.1%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · 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 Wednesday with 24 crashes in June 2024 to Thursday with 15 crashes in June 2025. The peak hour for crashes also changed, moving from 12 p.m. with 13 crashes in June 2024 to 4 p.m. with 9 crashes in June 2025.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The fatal crash rate increased from 0% in June 2024 to 1.25% in June 2025, with one fatal crash reported in the current period. The number of injury crashes (serious, minor, possible) decreased from 23 in June 2024 to 15 in June 2025, and their proportion of total crashes slightly decreased from 20.91% to 18.75%.

Outcome by Severity (Crash Events)

Fatal1fatal crashes1.3%
Serious Injury1serious injury crashes1.3%
Minor Injury8minor injury crashes10%
↓-38.5%prior 13
Possible Injury6possible injury crashes7.5%
↓-40.0%prior 10
No Injury60no injury crashes75%
↓-28.6%prior 84

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Followed too closely' decreased by 6 crashes, from 20 in June 2024 to 14 in June 2025. 'Failed to yield right of way' saw a significant decrease of 15 crashes, dropping from 20 to 5. Conversely, 'Inattention' crashes increased by 1, from 13 to 14, and 'No improper driving' remained stable at 17 crashes in both periods.

Officer-Reported Primary Contributing Cause

No improper driving17 (21.3%)→0.0%prior 17
Inattention14 (17.5%)↑7.7%prior 13
Followed too closely14 (17.5%)↓-30.0%prior 20
Failure to keep in proper lane or running off road7 (8.8%)→0.0%prior 7
Failed to yield right of way5 (6.3%)↓-75.0%prior 20
Over-correcting/over-steering3 (3.8%)
Fatigued/asleep3 (3.8%)
Wrong side or wrong way3 (3.8%)
Disregarded traffic signs, signals, road markings2 (2.5%)
Distracted2 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The proportion of crashes occurring in clear weather conditions decreased from 90% in June 2024 to 72.5% in June 2025. Concurrently, the proportion of crashes on wet road surfaces increased from 3.64% to 12.5%. The proportion of crashes occurring in dark conditions (lighted or not lighted) slightly increased from 10.91% to 15%.

Weather

Clear/Clear29 (36.7%)
↑16.0%prior 25
Clear29 (36.7%)
↓-60.3%prior 73
Cloudy7 (8.9%)
→0.0%prior 7
Cloudy/Cloudy7 (8.9%)
Rain/Rain3 (3.8%)
Cloudy/Rain2 (2.5%)
Rain/Cloudy1 (1.3%)
Rain1 (1.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Weather condition at time of crash

Lighting

Daylight65 (82.3%)
↓-30.9%prior 94
Dark - lighted roadway7 (8.9%)
Dark - roadway not lighted5 (6.3%)
↓-37.5%prior 8
Dawn1 (1.3%)
Dusk1 (1.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Lighting condition field

Road Surface

Dry68 (87.2%)
↓-35.2%prior 105
Wet10 (12.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Road surface condition field

Vehicles & Demographics

Honda crashes decreased from 36 in June 2024 to 19 in June 2025, and Toyota crashes decreased from 30 to 17. Chevrolet crashes increased from 3 to 12, while Ford crashes decreased from 26 to 9. The number of persons aged 21-25 involved in crashes decreased from 31 to 16, and those aged 26-34 decreased from 50 to 31.

Top Vehicle Makes (144 vehicles)

1
HONDA19 (13.2%)
↓-47.2%prior 36
2
TOYOTA17 (11.8%)
↓-43.3%prior 30
3
CHEVROLET12 (8.3%)
4
KIA11 (7.6%)
5
FORD9 (6.3%)
↓-65.4%prior 26
6
NISSAN8 (5.6%)
→0.0%prior 8
7
SUBARU6 (4.2%)
↓-14.3%prior 7
8
JEEP6 (4.2%)
↓-57.1%prior 14
9
MERCEDES-BENZ4 (2.8%)
10
VOLKSWAGEN4 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Vehicle unit records

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

Sex Distribution (151 persons with recorded sex)

Male89 (58.9%)
↓-38.6%prior 145
Female62 (41.1%)
↓-22.5%prior 80

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 65 mph speed zones decreased from 47 in June 2024 to 33 in June 2025. A fatal crash occurred in a 65 mph zone in June 2025, where none were reported in the same zone in June 2024. Crashes in 25 mph speed zones increased slightly from 20 to 23.

Fatal crashes by zone: 65 mph: 1 of 33 (3.03%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-06-01 to 2025-06-30 · 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: 2025-06-01 through 2025-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-06-01 through 2025-06-30 (30 days)
  • Geographic scope: ANDOVER, MA
  • Total crash records analyzed: 80
  • Total persons involved: 182
  • Total vehicles involved: 144

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). "ANDOVER, MA Crash Intelligence Report: June 2025." Published June 21, 2026. Reporting period: 2025-06-01 to 2025-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/andover/june-2025-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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Andover, MA Crash Report — June 2025 | ThatCarHitMe.com