Monthly Traffic Safety Analysis

31 CRASHES IN
DEDHAM, MA
AUGUST 2023

All metrics benchmarked againstAugust 2022

In August 2023, Dedham experienced 31 crashes, a decrease of 6.1% compared to the 33 crashes recorded in August 2022. Total fatalities remained at zero for both periods. A notable shift was the emergence of DUI-related crashes, which rose from zero in August 2022 to 3 in August 2023.

31

-6.1%was 33

Total Crash Events

0

Persons Killed

10

-16.7%was 12

Persons Injured

2

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.

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 data for August 2023 in Dedham indicates a slight downward trend in total crashes and injuries compared to August 2022. Total crashes decreased by 6.1%, from 33 to 31, while total injuries saw a 16.7% reduction, falling from 12 to 10. Fatalities remained unchanged at zero for both periods.

2

Hit-and-Run Crashes — August 2023

6.5% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 10.0%

9

Motorists Injured

Prior: 11-18.2%

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, with the peak day moving from Thursday in August 2022 (8 crashes) to Tuesday in August 2023 (9 crashes). The peak hour for crashes also changed, moving from 3 PM with 6 crashes in the prior period to 11 AM with 9 crashes in the current period.

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

Fatal crashes remained at zero in both August 2022 and August 2023. However, there was a notable change in injury severity, with serious injury crashes increasing from zero in August 2022 to 1 in August 2023. Minor injury crashes saw a slight increase from 2 to 3, while possible injury crashes decreased from 7 to 5 year-over-year.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes3.2%
Minor Injury3minor injury crashes9.7%
50.0%prior 2
Possible Injury5possible injury crashes16.1%
-28.6%prior 7
No Injury22no injury crashes71%
-4.3%prior 23

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

Among common contributing factors, crashes attributed to 'No improper driving' decreased by 2, from 9 in August 2022 to 7 in August 2023. Crashes due to 'Followed too closely' also saw a reduction, dropping from 5 to 4. Conversely, crashes where 'Failed to yield right of way' was a factor increased by 2, from 1 in the prior period to 3 in the current period.

Officer-Reported Primary Contributing Cause

No improper driving7 (22.6%)-22.2%prior 9
Followed too closely4 (12.9%)-20.0%prior 5
Failed to yield right of way3 (9.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (6.5%)
Fatigued/asleep2 (6.5%)
Other improper action1 (3.2%)
Physical impairment1 (3.2%)
Made an improper turn1 (3.2%)
Failure to keep in proper lane or running off road1 (3.2%)
Illness1 (3.2%)

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

Road surface conditions saw a shift, with crashes on wet roads increasing from 2 in August 2022 to 5 in August 2023, while crashes on dry roads decreased from 31 to 26. In terms of lighting, daylight crashes decreased from 27 to 22, and crashes in 'Dark - roadway not lighted' conditions increased from 3 to 5 year-over-year.

Weather

Clear/Clear14 (45.2%)
55.6%prior 9
Clear11 (35.5%)
-42.1%prior 19
Cloudy2 (6.5%)
Cloudy/Cloudy2 (6.5%)
Rain/Cloudy1 (3.2%)
Rain/Rain1 (3.2%)

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

Lighting

Daylight22 (71.0%)
-18.5%prior 27
Dark - roadway not lighted5 (16.1%)
Dark - lighted roadway2 (6.5%)
Dusk2 (6.5%)

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

Road Surface

Dry26 (83.9%)
-16.1%prior 31
Wet5 (16.1%)

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

Vehicles & Demographics

The age distribution of persons involved in crashes showed shifts, with the 45-54 age group experiencing a notable increase from 8 persons in August 2022 to 17 in August 2023. Conversely, the 35-44 age group saw a significant decrease from 19 to 5 persons. In vehicle makes, Toyota remained the most frequently involved, increasing from 10 to 11 vehicles, while Nissan, previously ranked second with 9 vehicles, was replaced in the top three by Honda with 5 vehicles.

Top Vehicle Makes (56 vehicles)

1
TOYOTA11 (19.6%)
10.0%prior 10
2
HONDA5 (8.9%)
3
SUBARU5 (8.9%)
-37.5%prior 8
4
FORD4 (7.1%)
-33.3%prior 6
5
JEEP3 (5.4%)
6
CHEVROLET3 (5.4%)
-50.0%prior 6
7
MAZDA3 (5.4%)
8
NISSAN3 (5.4%)
-66.7%prior 9
9
DODGE2 (3.6%)
10
CADI2 (3.6%)

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

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

Sex Distribution (65 persons with recorded sex)

Male34 (52.3%)
-22.7%prior 44
Female31 (47.7%)
6.9%prior 29

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 occurring in 55 mph speed zones decreased from 13 in August 2022 to 11 in August 2023. Similarly, crashes in 30 mph zones also saw a reduction, dropping from 9 to 6 year-over-year. There were no fatal crashes reported in any speed zone for 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: DEDHAM, MA
  • Total crash records analyzed: 31
  • Total persons involved: 73
  • Total vehicles involved: 56

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). "DEDHAM, 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/dedham/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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Dedham, MA Crash Report — August 2023 | ThatCarHitMe.com