Monthly Traffic Safety Analysis

79 CRASHES IN
ANDOVER, MA
AUGUST 2025

All metrics benchmarked againstAugust 2024

Total crashes in Andover decreased from 84 in August 2024 to 79 in August 2025, a reduction of 5 crashes or 5.95%. The most notable shift was a significant increase in hit-and-run crashes, which doubled year-over-year.

79

▼ -6.0%was 84

Total Crash Events

0

Persons Killed

21

▼ -8.7%was 23

Persons Injured

12

▲ 100.0%was 6

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Andover saw a slight decrease year-over-year, with total crashes falling by 5.95% from 84 in August 2024 to 79 in August 2025. This indicates a minor downward trend in the total number of crashes.

12

Hit-and-Run Crashes — August 2025

▲ 100.0% vs prior (6)

Hit-and-run crashes significantly increased year-over-year, rising from 6 incidents in August 2024 to 12 incidents in August 2025, a 100% increase in count. Consequently, the hit-and-run rate more than doubled, climbing from 7.1% of total crashes in August 2024 to 15.2% in August 2025. This indicates a clear upward trend in hit-and-run incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

21

Motorists Injured

Prior: 23↓-8.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal distribution of crashes shifted year-over-year. In August 2024, the peak day for crashes was Saturday with 17 incidents, and the peak hour was 5 PM with 10 incidents. In contrast, August 2025 saw Friday become the peak day with 19 crashes, and 2 PM emerged as the peak hour with 8 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Both August 2024 and August 2025 recorded zero fatalities and zero fatal crashes. Total injuries decreased slightly from 23 in August 2024 to 21 in August 2025. While August 2024 reported 9 minor injuries and 8 possible injuries, August 2025 recorded 3 serious injuries, 8 minor injuries, and 5 possible injuries, indicating a shift in the distribution of injury severities with the introduction of serious injuries.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes3.8%
Minor Injury8minor injury crashes10.1%
↓-11.1%prior 9
Possible Injury5possible injury crashes6.3%
↓-37.5%prior 8
No Injury59no injury crashes74.7%
↓-11.9%prior 67

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'Failed to yield right of way' decreased from 20 incidents in August 2024 to 14 in August 2025, a 30% reduction in count. Conversely, 'Followed too closely' increased from 12 incidents to 17, a 41.7% rise in count. The factor 'No improper driving' remained stable with 8 incidents in both periods.

Officer-Reported Primary Contributing Cause

Followed too closely17 (21.5%)↑41.7%prior 12
Failed to yield right of way14 (17.7%)↓-30.0%prior 20
Inattention9 (11.4%)↓-10.0%prior 10
No improper driving8 (10.1%)→0.0%prior 8
Failure to keep in proper lane or running off road7 (8.9%)↓-30.0%prior 10
Other improper action4 (5.1%)
Fatigued/asleep3 (3.8%)
Disregarded traffic signs, signals, road markings2 (2.5%)
Driving too fast for conditions2 (2.5%)↓-60.0%prior 5
Exceeded authorized speed limit2 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The proportion of crashes occurring in clear weather conditions remained dominant, with 60 incidents in August 2024 (Clear and Clear/Clear combined) and 69 incidents in August 2025 (Clear and Clear/Clear combined). Crashes on wet road surfaces decreased from 11 in August 2024 to 5 in August 2025, a 54.5% reduction. Crashes during daylight hours remained the majority, accounting for 60 incidents in August 2024 and 58 in August 2025.

Weather

Clear/Clear46 (59.7%)
↑109.1%prior 22
Clear23 (29.9%)
↓-39.5%prior 38
Cloudy2 (2.6%)
↓-60.0%prior 5
Rain/Rain2 (2.6%)
Unknown/Unknown1 (1.3%)
Clear/Cloudy1 (1.3%)
Cloudy/Cloudy1 (1.3%)
↓-80.0%prior 5
Rain/Cloudy1 (1.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Weather condition at time of crash

Lighting

Daylight58 (76.3%)
↓-3.3%prior 60
Dark - lighted roadway10 (13.2%)
↑11.1%prior 9
Dark - roadway not lighted6 (7.9%)
↓-40.0%prior 10
Dawn1 (1.3%)
Dusk1 (1.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Lighting condition field

Road Surface

Dry71 (93.4%)
↓-2.7%prior 73
Wet5 (6.6%)
↓-54.5%prior 11

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes remained stable, with 151 in August 2024 and 152 in August 2025. HONDA and TOYOTA remained the top two vehicle makes involved in crashes in both periods, though Honda's involvement decreased from 35 to 26, and Toyota's from 27 to 19. The age distribution of persons involved saw a decrease in the 16-20 and 21-25 age groups, while the 26-34 and 35-44 age groups saw an increase in representation.

Top Vehicle Makes (152 vehicles)

1
HONDA26 (17.1%)
↓-25.7%prior 35
2
TOYOTA19 (12.5%)
↓-29.6%prior 27
3
FORD12 (7.9%)
↓-7.7%prior 13
4
JEEP10 (6.6%)
↑100.0%prior 5
5
SUBARU8 (5.3%)
6
MERCEDES-BENZ7 (4.6%)
7
NISSAN6 (3.9%)
↓-45.5%prior 11
8
ACURA5 (3.3%)
→0.0%prior 5
9
KIA5 (3.3%)
10
CHEVROLET4 (2.6%)
↓-50.0%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Vehicle unit records

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

Sex Distribution (166 persons with recorded sex)

Male89 (53.6%)
↓-30.5%prior 128
Female77 (46.4%)
↑35.1%prior 57

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · Person-level records linked to crash events

Speed Limit Zones

The distribution of crashes across speed zones saw minor shifts year-over-year. Crashes in the 25 MPH zone increased from 17 in August 2024 to 20 in August 2025, while crashes in the 65 MPH zone slightly decreased from 27 to 26. There were no fatal crashes reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-08-01 to 2025-08-31 · 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: 2025-08-01 through 2025-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-08-01 through 2025-08-31 (31 days)
  • Geographic scope: ANDOVER, MA
  • Total crash records analyzed: 79
  • Total persons involved: 197
  • Total vehicles involved: 152

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: August 2025." Published June 21, 2026. Reporting period: 2025-08-01 to 2025-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/andover/august-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 — August 2025 | ThatCarHitMe.com