Monthly Traffic Safety Analysis

71 CRASHES IN
ANDOVER, MA
MAY 2025

All metrics benchmarked againstMay 2024

In May 2025, Andover experienced 71 total crashes, a decrease from the 86 crashes recorded in May 2024. This represents a 17.4% reduction year-over-year. The most notable shift was a 52.6% decrease in total injuries, falling from 38 in the prior period to 18 in the current period.

71

-17.4%was 86

Total Crash Events

0

Persons Killed

18

-52.6%was 38

Persons Injured

9

12.5%was 8

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crashes in Andover decreased by 17.4% year-over-year, from 86 crashes in May 2024 to 71 crashes in May 2025. Total injuries also saw a significant decline, decreasing by 52.6% from 38 to 18 during the same period.

9

Hit-and-Run Crashes — May 2025

12.5% vs prior (8)

Hit-and-run crashes increased from 8 in May 2024 to 9 in May 2025. The hit-and-run rate also saw an increase, rising from 9.3% in the prior period to 12.7% in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

18

Motorists Injured

Prior: 38-52.6%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · 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 with 19 crashes in May 2024 to Thursday with 16 crashes in May 2025. However, the peak hour for crashes remained consistent at 3 PM in both periods, each recording 10 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities reported in either May 2024 or May 2025. Total injuries decreased by 52.6%, from 38 to 18, year-over-year. Serious injuries, which accounted for 2 crashes (2.3%) in May 2024, were not reported in May 2025, while minor injuries decreased from 18 crashes (20.9%) to 8 crashes (11.3%).

Outcome by Severity (Crash Events)

Minor Injury8minor injury crashes11.3%
-55.6%prior 18
Possible Injury7possible injury crashes9.9%
0.0%prior 7
No Injury54no injury crashes76.1%
-6.9%prior 58

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Followed too closely' decreased by 9, from 22 in May 2024 to 13 in May 2025, while 'Failed to yield right of way' decreased by 5 crashes, from 16 to 11. Conversely, 'Exceeded authorized speed limit' crashes increased by 3, from 2 to 5, and 'Driving too fast for conditions' increased by 2 crashes, from 3 to 5.

Officer-Reported Primary Contributing Cause

Followed too closely13 (18.3%)-40.9%prior 22
No improper driving12 (16.9%)0.0%prior 12
Failed to yield right of way11 (15.5%)-31.3%prior 16
Inattention6 (8.5%)20.0%prior 5
Exceeded authorized speed limit5 (7%)
Driving too fast for conditions5 (7%)
Failure to keep in proper lane or running off road3 (4.2%)
Disregarded traffic signs, signals, road markings2 (2.8%)-66.7%prior 6
Distracted2 (2.8%)
Fatigued/asleep2 (2.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 43 in May 2024 to 22 in May 2025, while those in 'Clear/Clear' conditions increased from 21 to 25. Crashes on 'Wet' road surfaces saw a slight increase from 15 to 17, despite a reduction in 'Rain' conditions from 8 crashes to 3. Crashes during 'Daylight' decreased from 67 to 51, but crashes at 'Dawn' increased from 1 to 3.

Weather

Clear/Clear25 (35.2%)
19.0%prior 21
Clear22 (31.0%)
-48.8%prior 43
Rain/Rain7 (9.9%)
Cloudy4 (5.6%)
-20.0%prior 5
Rain/Cloudy4 (5.6%)
Cloudy/Cloudy3 (4.2%)
Rain3 (4.2%)
-62.5%prior 8
Cloudy/Clear2 (2.8%)
Clear/Cloudy1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Weather condition at time of crash

Lighting

Daylight51 (71.8%)
-23.9%prior 67
Dark - lighted roadway7 (9.9%)
0.0%prior 7
Dark - roadway not lighted7 (9.9%)
0.0%prior 7
Dawn3 (4.2%)
Dusk2 (2.8%)
Other1 (1.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Lighting condition field

Road Surface

Dry54 (76.1%)
-21.7%prior 69
Wet17 (23.9%)
13.3%prior 15

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 180 in May 2024 to 132 in May 2025. While most age groups saw a decrease in persons involved, the '65+' age group increased from 13 persons in May 2024 to 17 persons in May 2025. The top vehicle makes, Honda and Toyota, both saw decreases in involvement, with Honda dropping from 33 to 24 and Toyota from 28 to 16.

Top Vehicle Makes (132 vehicles)

1
HONDA24 (18.2%)
-27.3%prior 33
2
TOYOTA16 (12.1%)
-42.9%prior 28
3
CHEVROLET11 (8.3%)
-21.4%prior 14
4
FORD10 (7.6%)
-23.1%prior 13
5
SUBARU8 (6.1%)
0.0%prior 8
6
NISSAN7 (5.3%)
0.0%prior 7
7
ACURA6 (4.5%)
-14.3%prior 7
8
MERCEDES-BENZ5 (3.8%)
9
MAZDA4 (3%)
10
KIA4 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Vehicle unit records

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

Sex Distribution (136 persons with recorded sex)

Male82 (60.3%)
-21.2%prior 104
Female54 (39.7%)
-46.5%prior 101

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 65 mph speed zones decreased from 35 in May 2024 to 28 in May 2025, a 20% reduction. In contrast, crashes in 25 mph zones increased by 70%, from 10 to 17 crashes. No fatalities were recorded in any speed zone for either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-05-01 to 2025-05-31 · 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: 2025-05-01 through 2025-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-05-01 through 2025-05-31 (31 days)
  • Geographic scope: ANDOVER, MA
  • Total crash records analyzed: 71
  • Total persons involved: 157
  • Total vehicles involved: 132

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: May 2025." Published June 21, 2026. Reporting period: 2025-05-01 to 2025-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/andover/may-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 — May 2025 | ThatCarHitMe.com