Monthly Traffic Safety Analysis

33 CRASHES IN
DEDHAM, MA
AUGUST 2022

All metrics benchmarked againstAugust 2021

Total crashes in DEDHAM, MA decreased from 38 in August 2021 to 33 in August 2022, representing a 13.16% reduction. A notable shift in injury severity was observed, with possible injury crashes increasing from 3 to 7, while minor injury crashes decreased from 5 to 2.

33

-13.2%was 38

Total Crash Events

0

Persons Killed

12

-20.0%was 15

Persons Injured

0

-100.0%was 1

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. 1 crash with unreported severity is not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in DEDHAM, MA showed a downward trend year-over-year, decreasing by 13.16% from 38 crashes in August 2021 to 33 crashes in August 2022. This represents a reduction of 5 crashes in the current period compared to the prior year.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

11

Motorists Injured

Prior: 15-26.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · 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 8 crashes in August 2021 to Thursday with 8 crashes in August 2022. The peak crash hour also changed significantly, moving from 10 PM with 4 crashes in the prior period to 3 PM with 6 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Total injuries decreased from 15 in August 2021 to 12 in August 2022, with no fatalities reported in either period. Minor injury crashes decreased from 5 (13.2% share) to 2 (6.1% share), while possible injury crashes increased from 3 (7.9% share) to 7 (21.2% share).

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes6.1%
-60.0%prior 5
Possible Injury7possible injury crashes21.2%
133.3%prior 3
No Injury23no injury crashes69.7%
-20.7%prior 29

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'No improper driving' saw an increase in count from 6 in August 2021 to 9 in August 2022. Conversely, crashes attributed to 'Inattention' decreased from 6 to 3, and 'Disregarded traffic signs, signals, road markings' crashes dropped from 4 to 1 year-over-year.

Officer-Reported Primary Contributing Cause

No improper driving9 (27.3%)50.0%prior 6
Followed too closely5 (15.2%)-16.7%prior 6
Inattention3 (9.1%)-50.0%prior 6
Failure to keep in proper lane or running off road3 (9.1%)
Distracted2 (6.1%)
Fatigued/asleep1 (3%)
Driving too fast for conditions1 (3%)
Failed to yield right of way1 (3%)
Disregarded traffic signs, signals, road markings1 (3%)
Other improper action1 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions remained prevalent, accounting for 19 crashes in August 2022 compared to 20 in August 2021. Crashes during 'Daylight' conditions remained dominant, with 27 in the current period versus 28 in the prior period, while crashes on 'Dry' road surfaces decreased from 36 to 31 year-over-year.

Weather

Clear19 (57.6%)
-5.0%prior 20
Clear/Clear9 (27.3%)
-18.2%prior 11
Clear/Cloudy3 (9.1%)
Cloudy1 (3.0%)
Cloudy/Rain1 (3.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Weather condition at time of crash

Lighting

Daylight27 (81.8%)
-3.6%prior 28
Dark - lighted roadway3 (9.1%)
-50.0%prior 6
Dark - roadway not lighted3 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Lighting condition field

Road Surface

Dry31 (93.9%)
-13.9%prior 36
Wet2 (6.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Road surface condition field

Vehicles & Demographics

The leading vehicle make involved in crashes shifted from Honda (16 vehicles) in August 2021 to Toyota (10 vehicles) in August 2022. While the 35-44 age group remained the most represented in both periods (20 persons in prior, 19 in current), the 16-20 age group saw a notable decrease from 14 persons to 3 persons year-over-year.

Top Vehicle Makes (58 vehicles)

1
TOYOTA10 (17.2%)
-33.3%prior 15
2
NISSAN9 (15.5%)
50.0%prior 6
3
SUBARU8 (13.8%)
4
CHEVROLET6 (10.3%)
-14.3%prior 7
5
FORD6 (10.3%)
20.0%prior 5
6
JEEP3 (5.2%)
7
HONDA2 (3.4%)
-87.5%prior 16
8
KIA1 (1.7%)
9
LAND ROVER1 (1.7%)
10
LEXUS1 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Vehicle unit records

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

Sex Distribution (73 persons with recorded sex)

Male44 (60.3%)
-24.1%prior 58
Female29 (39.7%)
-31.0%prior 42

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes occurring in 55 mph speed zones saw a slight decrease from 14 in August 2021 to 13 in August 2022. Conversely, crashes in 30 mph zones increased from 5 to 9 year-over-year, with no fatal crashes reported across any speed zone in either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-08-01 to 2022-08-31 · 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: 2022-08-01 through 2022-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-08-01 through 2022-08-31 (31 days)
  • Geographic scope: DEDHAM, MA
  • Total crash records analyzed: 33
  • Total persons involved: 78
  • Total vehicles involved: 58

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 2022." Published June 21, 2026. Reporting period: 2022-08-01 to 2022-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/dedham/august-2022-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 2022 | ThatCarHitMe.com