Monthly Traffic Safety Analysis

92 CRASHES IN
WALTHAM, MA
APRIL 2026

All metrics benchmarked againstApril 2025

Total crashes in Waltham decreased from 103 in April 2025 to 92 in April 2026, representing a 10.68% reduction. The most notable year-over-year shift was a 75% decrease in speeding-related crashes, dropping from 8 crashes in the prior period to 2 crashes in the current period.

92

-10.7%was 103

Total Crash Events

0

Persons Killed

24

-22.6%was 31

Persons Injured

7

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 · 2026-04-01 to 2026-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash trends in Waltham show a decrease year-over-year, with total crashes falling by 10.68% from 103 in April 2025 to 92 in April 2026. This decline was accompanied by a 22.58% reduction in total injuries, from 31 to 24.

7

Hit-and-Run Crashes — April 2026

0.0% vs prior (7)

The number of hit-and-run crashes remained constant at 7 in both April 2025 and April 2026. However, the hit-and-run crash rate increased slightly from 6.8% to 7.6% of all crashes, representing an 11.76% relative increase.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

23

Motorists Injured

Prior: 27-14.8%

1

Other Injured

Prior: 0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · 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 Tuesday in April 2025, with 26 crashes, to Friday in April 2026, with 21 crashes. The peak hour remained 3 PM in both periods, though the count decreased from 10 crashes in April 2025 to 9 crashes in April 2026.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities in either April 2025 or April 2026. Total injuries decreased by 22.58%, from 31 to 24. Serious injuries, recorded as 3 in April 2026, were not present in the April 2025 data, while minor injuries decreased from 13 to 11.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes3.3%
Minor Injury11minor injury crashes12%
-15.4%prior 13
Possible Injury7possible injury crashes7.6%
-41.7%prior 12
No Injury69no injury crashes75%
-9.2%prior 76

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'Inattention' increased by 12% in count, from 25 in April 2025 to 28 in April 2026. 'Failed to yield right of way' crashes also increased by 28.57% in count, from 14 to 18. Conversely, crashes involving 'Driving too fast for conditions' decreased by 100% in count, from 6 in April 2025 to 0 in April 2026.

Officer-Reported Primary Contributing Cause

Inattention28 (30.4%)12.0%prior 25
Failed to yield right of way18 (19.6%)28.6%prior 14
Followed too closely8 (8.7%)-20.0%prior 10
No improper driving8 (8.7%)-42.9%prior 14
Failure to keep in proper lane or running off road6 (6.5%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner6 (6.5%)
Visibility obstructed3 (3.3%)
Disregarded traffic signs, signals, road markings2 (2.2%)
Exceeded authorized speed limit2 (2.2%)
Made an improper turn1 (1.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in rainy weather conditions decreased by 57.1% in count, from 14 in April 2025 to 6 in April 2026. Conversely, crashes on dry road surfaces increased by 10.1% in count, from 69 to 76. Daylight crashes decreased by 6.1%, from 82 to 77, while crashes in dark-lighted roadway conditions remained stable at 12.

Weather

Clear49 (53.3%)
-3.9%prior 51
Cloudy18 (19.6%)
5.9%prior 17
Clear/Clear10 (10.9%)
100.0%prior 5
Rain6 (6.5%)
-57.1%prior 14
Rain/Cloudy3 (3.3%)
-57.1%prior 7
Cloudy/Rain2 (2.2%)
Clear/Cloudy1 (1.1%)
Rain/Rain1 (1.1%)
-80.0%prior 5
Sleet, hail (freezing rain or drizzle)1 (1.1%)
Snow1 (1.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Weather condition at time of crash

Lighting

Daylight77 (83.7%)
-6.1%prior 82
Dark - lighted roadway12 (13.0%)
0.0%prior 12
Dark - roadway not lighted1 (1.1%)
-80.0%prior 5
Dark - unknown roadway lighting1 (1.1%)
Dusk1 (1.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Lighting condition field

Road Surface

Dry76 (82.6%)
10.1%prior 69
Wet16 (17.4%)
-48.4%prior 31

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased by 4.32%, from 185 in April 2025 to 177 in April 2026. The age group 45-54 saw a 55% increase in persons involved, rising from 20 to 31, while the 55-64 age group experienced a 67.65% decrease, from 34 to 11. Toyota remained the top vehicle make involved, increasing from 42 to 47.

Top Vehicle Makes (177 vehicles)

1
TOYOTA47 (26.6%)
11.9%prior 42
2
HONDA22 (12.4%)
15.8%prior 19
3
FORD17 (9.6%)
-10.5%prior 19
4
CHEVROLET11 (6.2%)
0.0%prior 11
5
NISSAN10 (5.6%)
42.9%prior 7
6
KIA8 (4.5%)
7
TESL6 (3.4%)
8
AUDI6 (3.4%)
9
HYUNDAI5 (2.8%)
10
JEEP5 (2.8%)
-28.6%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Vehicle unit records

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

Sex Distribution (199 persons with recorded sex)

Male123 (61.8%)
0.8%prior 122
Female75 (37.7%)
1.4%prior 74
X / Unspecified1 (0.5%)
0.0%prior 1

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph zones increased by 10.2% in count, from 49 in April 2025 to 54 in April 2026. Conversely, crashes in 55 mph zones decreased by 50% in count, from 18 to 9. No fatal crashes were recorded in any speed limit zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-04-01 to 2026-04-30 · 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: 2026-04-01 through 2026-04-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2026-04-01 through 2026-04-30 (30 days)
  • Geographic scope: WALTHAM, MA
  • Total crash records analyzed: 92
  • Total persons involved: 213
  • Total vehicles involved: 177

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). "WALTHAM, MA Crash Intelligence Report: April 2026." Published June 21, 2026. Reporting period: 2026-04-01 to 2026-04-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/waltham/april-2026-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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Waltham, MA Crash Report — April 2026 | ThatCarHitMe.com