Monthly Traffic Safety Analysis

128 CRASHES IN
WALTHAM, MA
AUGUST 2023

All metrics benchmarked againstAugust 2022

In August 2023, Waltham experienced 128 total crashes, an increase from 116 crashes reported in August 2022, representing a 10.3% rise year-over-year. The number of serious injury crashes saw a notable increase, rising by 50% from 14 to 21. Fatalities remained at zero in both periods.

128

10.3%was 116

Total Crash Events

0

Persons Killed

37

5.7%was 35

Persons Injured

27

-10.0%was 30

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Waltham show an upward trend year-over-year, with total crashes increasing from 116 in August 2022 to 128 in August 2023. This represents a 10.3% increase in crash volume. Total injuries also saw a slight rise, from 35 to 37, a 5.7% increase, while fatalities remained unchanged at zero.

27

Hit-and-Run Crashes — August 2023

-10.0% vs prior (30)

The number of hit-and-run crashes decreased from 30 in August 2022 to 27 in August 2023. Consequently, the hit-and-run crash rate also saw a decline, moving from 25.9% of total crashes in August 2022 to 21.1% in August 2023.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 2-50.0%

1

Cyclists Injured

Prior: 4-75.0%

35

Motorists Injured

Prior: 2920.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · 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 2023, the peak day for crashes was Wednesday with 27 incidents, compared to Monday with 26 crashes in August 2022. The peak crash hour also changed, moving from 12 PM with 13 crashes in August 2022 to 5 PM with 19 crashes in August 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities in either August 2022 or August 2023. Serious injury (A) crashes increased from 14 (12.1% of total crashes) in August 2022 to 21 (16.4%) in August 2023. Conversely, possible injury (C) crashes decreased from 11 (9.5%) to 4 (3.1%) over the same period.

Outcome by Severity (Crash Events)

Serious Injury21serious injury crashes16.4%
50.0%prior 14
Minor Injury3minor injury crashes2.3%
-25.0%prior 4
Possible Injury4possible injury crashes3.1%
-63.6%prior 11
No Injury90no injury crashes70.3%
23.3%prior 73

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Most severe injury per crash record

Top Contributing Factors

Several contributing factors saw notable changes in crash counts. 'Inattention' crashes decreased from 33 in August 2022 to 14 in August 2023. Meanwhile, crashes attributed to 'Followed too closely' more than doubled, increasing from 5 to 11, and 'No improper driving' crashes increased from 20 to 25.

Officer-Reported Primary Contributing Cause

No improper driving25 (19.5%)25.0%prior 20
Inattention14 (10.9%)-57.6%prior 33
Failed to yield right of way11 (8.6%)-21.4%prior 14
Followed too closely11 (8.6%)120.0%prior 5
Failure to keep in proper lane or running off road9 (7%)80.0%prior 5
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner7 (5.5%)
Disregarded traffic signs, signals, road markings4 (3.1%)
Other improper action4 (3.1%)
Distracted3 (2.3%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (1.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Regarding crash conditions, crashes occurring in 'Clear' weather decreased from 93 in August 2022 to 82 in August 2023, while 'Rain' conditions saw an increase from 3 to 9 crashes. Crashes occurring in 'Wet' road surface conditions increased from 7 to 24, corresponding with a decrease in 'Dry' road surface crashes from 108 to 101. Crashes occurring in 'Dark - lighted roadway' conditions increased from 15 to 26.

Weather

Clear82 (65.1%)
-11.8%prior 93
Cloudy15 (11.9%)
15.4%prior 13
Rain9 (7.1%)
Rain/Cloudy7 (5.6%)
Clear/Clear5 (4.0%)
Cloudy/Rain4 (3.2%)
Clear/Cloudy2 (1.6%)
Unknown/Unknown2 (1.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Weather condition at time of crash

Lighting

Daylight89 (70.6%)
0.0%prior 89
Dark - lighted roadway26 (20.6%)
73.3%prior 15
Dusk6 (4.8%)
Dark - roadway not lighted3 (2.4%)
Dawn1 (0.8%)
Dark - unknown roadway lighting1 (0.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Lighting condition field

Road Surface

Dry101 (80.8%)
-6.5%prior 108
Wet24 (19.2%)
242.9%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 227 in August 2022 to 241 in August 2023. Toyota remained the most frequently involved make, with its count rising from 37 to 39, while Honda's involvement decreased from 27 to 23. The 35-44 age group saw a notable increase in persons involved, rising from 34 to 46.

Top Vehicle Makes (241 vehicles)

1
TOYOTA39 (16.2%)
5.4%prior 37
2
HONDA23 (9.5%)
-14.8%prior 27
3
FORD22 (9.1%)
46.7%prior 15
4
NISSAN15 (6.2%)
200.0%prior 5
5
JEEP14 (5.8%)
75.0%prior 8
6
SUBARU14 (5.8%)
180.0%prior 5
7
CHEVROLET13 (5.4%)
62.5%prior 8
8
HYUNDAI11 (4.6%)
9
LEXUS8 (3.3%)
10
VOLKSWAGEN6 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Vehicle unit records

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

Sex Distribution (242 persons with recorded sex)

Male144 (59.5%)
11.6%prior 129
Female98 (40.5%)
16.7%prior 84

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone decreased from 82 in August 2022 to 64 in August 2023. Conversely, crashes in the 25 mph speed zone increased significantly from 5 to 25, and crashes in the 55 mph zone rose from 9 to 16. No fatal crashes were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · 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: 2023-08-01 through 2023-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-08-01 through 2023-08-31 (31 days)
  • Geographic scope: WALTHAM, MA
  • Total crash records analyzed: 128
  • Total persons involved: 317
  • Total vehicles involved: 241

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: August 2023." Published June 21, 2026. Reporting period: 2023-08-01 to 2023-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/waltham/august-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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Waltham, MA Crash Report — August 2023 | ThatCarHitMe.com