Monthly Traffic Safety Analysis

50 CRASHES IN
SOMERVILLE, MA
JUNE 2024

All metrics benchmarked againstJune 2023

Total crashes in Somerville for June 2024 were 50, a decrease from 61 crashes in June 2023, representing an 18.03% reduction year-over-year. Fatalities remained at zero in both periods. A notable shift was the increase in DUI crashes from 0 in June 2023 to 3 in June 2024.

50

-18.0%was 61

Total Crash Events

0

Persons Killed

19

-9.5%was 21

Persons Injured

2

-33.3%was 3

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash incidents in Somerville experienced a downward trend year-over-year, with total crashes decreasing by 11, from 61 in June 2023 to 50 in June 2024. This represents an 18.03% reduction in the total number of crashes. Injuries also saw a decrease, falling from 21 to 19.

2

Hit-and-Run Crashes — June 2024

-33.3% vs prior (3)

Hit-and-run crashes decreased from 3 incidents in June 2023 to 2 incidents in June 2024. The hit-and-run crash rate also saw a slight decrease, moving from 4.9% in the prior period to 4% in the current period.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

0

Other Killed

Prior: 00.0%

2

Pedestrians Injured

Prior: 1100.0%

3

Cyclists Injured

Prior: 4-25.0%

13

Motorists Injured

Prior: 130.0%

1

Other Injured

Prior: 3-66.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted between the two periods. In June 2023, the peak day for crashes was Sunday with 14 incidents, while in June 2024, Saturday, Tuesday, and Friday all shared the peak with 9 incidents each. The peak crash hour also changed, moving from 3 PM with 9 crashes in June 2023 to 10 AM with 6 crashes in June 2024.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero in both June 2023 and June 2024. The distribution of injury severities changed, with serious injuries (Severity A) appearing in June 2024 (3 crashes, 6% share) but not in June 2023. Minor injury crashes decreased from 16 (26.2% share) in the prior period to 9 (18% share) in the current period.

Outcome by Severity (Crash Events)

Serious Injury3serious injury crashes6%
Minor Injury9minor injury crashes18%
-43.8%prior 16
Possible Injury6possible injury crashes12%
50.0%prior 4
No Injury29no injury crashes58%
-27.5%prior 40

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Most severe injury per crash record

Top Contributing Factors

The most frequent contributing factor in both periods was "No improper driving," which increased from 13 crashes in June 2023 to 19 crashes in June 2024. "Failed to yield right of way" saw a significant decrease, falling from 8 crashes in the prior period to 2 crashes in the current period. Conversely, "Inattention" increased from 3 crashes in June 2023 to 6 crashes in June 2024.

Officer-Reported Primary Contributing Cause

No improper driving19 (38%)46.2%prior 13
Inattention6 (12%)
Followed too closely5 (10%)-16.7%prior 6
Disregarded traffic signs, signals, road markings3 (6%)
Failure to keep in proper lane or running off road2 (4%)
Failed to yield right of way2 (4%)-75.0%prior 8
Driving too fast for conditions2 (4%)
Exceeded authorized speed limit1 (2%)
Distracted1 (2%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

In June 2024, 42 crashes occurred under clear weather conditions (Clear or Clear/Clear), compared to 43 in June 2023. Crashes on dry road surfaces decreased from 51 in June 2023 to 43 in June 2024. Daylight conditions accounted for 33 crashes in June 2024, a decrease from 49 crashes in June 2023.

Weather

Clear35 (72.9%)
9.4%prior 32
Clear/Clear7 (14.6%)
-36.4%prior 11
Rain4 (8.3%)
Cloudy/Rain1 (2.1%)
Cloudy1 (2.1%)
-87.5%prior 8

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Weather condition at time of crash

Lighting

Daylight33 (66.0%)
-32.7%prior 49
Dark - lighted roadway11 (22.0%)
22.2%prior 9
Dawn2 (4.0%)
Dusk2 (4.0%)
Dark - roadway not lighted1 (2.0%)
Dark - unknown roadway lighting1 (2.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Lighting condition field

Road Surface

Dry43 (86.0%)
-15.7%prior 51
Wet7 (14.0%)
-30.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes decreased from 110 in June 2023 to 89 in June 2024. Toyota, the top make in June 2023 with 19 vehicles, saw a decrease to 16 vehicles in June 2024, while Honda increased from 16 to 18 vehicles. The largest age group involved in crashes shifted from 26-34 year olds (35 persons) in the prior period to 26-34 year olds (20 persons) and 35-44 year olds (18 persons) in the current period, though counts for these groups decreased overall.

Top Vehicle Makes (89 vehicles)

1
HONDA18 (20.2%)
12.5%prior 16
2
TOYOTA16 (18%)
-15.8%prior 19
3
FORD8 (9%)
-20.0%prior 10
4
NISSAN7 (7.9%)
-22.2%prior 9
5
SUBARU6 (6.7%)
-25.0%prior 8
6
CHEVROLET5 (5.6%)
7
VOLKSWAGEN3 (3.4%)
8
HYUNDAI3 (3.4%)
9
KIA3 (3.4%)
10
AUDI2 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Vehicle unit records

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

Sex Distribution (98 persons with recorded sex)

Male57 (58.2%)
-24.0%prior 75
Female41 (41.8%)
-6.8%prior 44

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 25 mph zones decreased from 26 in June 2023 to 20 in June 2024. The 20 mph zones also saw a decrease in crashes, from 10 to 8. Notably, a 15 mph speed zone appeared in the current period with 1 crash, while a 65 mph speed zone, present in the prior period with 2 crashes, was not observed in the current data.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-06-01 to 2024-06-30 · 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: 2024-06-01 through 2024-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2024-06-01 through 2024-06-30 (30 days)
  • Geographic scope: SOMERVILLE, MA
  • Total crash records analyzed: 50
  • Total persons involved: 113
  • Total vehicles involved: 89

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). "SOMERVILLE, MA Crash Intelligence Report: June 2024." Published June 21, 2026. Reporting period: 2024-06-01 to 2024-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/somerville/june-2024-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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Somerville, MA Crash Report — June 2024 | ThatCarHitMe.com