Monthly Traffic Safety Analysis

64 CRASHES IN
SOMERVILLE, MA
JUNE 2022

All metrics benchmarked againstJune 2021

In June 2022, Somerville experienced 64 total crashes, an 18.5% increase from 54 crashes in June 2021. Despite this rise in total crashes, total injuries decreased by 19.2% from 26 to 21, representing the most notable shift year-over-year. Fatalities remained at zero in both periods.

64

18.5%was 54

Total Crash Events

0

Persons Killed

21

-19.2%was 26

Persons Injured

4

-33.3%was 6

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 · 2022-06-01 to 2022-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Total crashes in Somerville increased by 18.5% year-over-year, rising from 54 in June 2021 to 64 in June 2022. Conversely, total injuries decreased by 19.2%, from 26 to 21. Fatalities remained stable at zero for both periods.

4

Hit-and-Run Crashes — June 2022

-33.3% vs prior (6)

The number of hit-and-run crashes decreased from 6 in the prior period to 4 in the current period. This led to a reduction in the hit-and-run rate from 11.1% to 6.3% of total crashes, indicating a downward trend year-over-year.

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%

2

Cyclists Injured

Prior: 20.0%

18

Motorists Injured

Prior: 22-18.2%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · 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 Wednesday (14 crashes) in the prior period to Saturday (16 crashes) in the current period. The peak crash hour also shifted from 2 PM (6 crashes) in June 2021 to 3 PM (8 crashes) in June 2022. Crashes on Saturday notably increased from 8 to 16 year-over-year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatalities reported in either the current or prior period. Total injuries decreased from 26 in June 2021 to 21 in June 2022, representing a 19.2% reduction. The proportion of crashes resulting in no injury increased from 57.4% to 70.3% year-over-year.

Outcome by Severity (Crash Events)

Minor Injury12minor injury crashes18.8%
-14.3%prior 14
Possible Injury7possible injury crashes10.9%
0.0%prior 7
No Injury45no injury crashes70.3%
45.2%prior 31

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Followed too closely' saw a significant increase in count, rising from 1 crash in the prior period to 7 crashes in the current period. Conversely, 'Failed to yield right of way' decreased from 7 crashes to 4 crashes. 'Disregarded traffic signs, signals, road markings' increased from 2 crashes to 5 crashes, while 'Exceeded authorized speed limit' was noted in 2 crashes previously but none currently.

Officer-Reported Primary Contributing Cause

No improper driving11 (17.2%)10.0%prior 10
Followed too closely7 (10.9%)
Disregarded traffic signs, signals, road markings5 (7.8%)
Failure to keep in proper lane or running off road4 (6.3%)
Inattention4 (6.3%)-33.3%prior 6
Failed to yield right of way4 (6.3%)-42.9%prior 7
Other improper action3 (4.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (3.1%)
Operating defective equipment1 (1.6%)
Illness1 (1.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 42 in the prior period to 60 in the current period. Concurrently, crashes on wet road surfaces decreased from 9 to 2. Crashes in daylight conditions increased from 40 to 51, while those in dark-lighted conditions remained relatively stable, decreasing slightly from 12 to 11.

Weather

Clear50 (78.1%)
85.2%prior 27
Clear/Clear10 (15.6%)
-33.3%prior 15
Cloudy3 (4.7%)
Cloudy/Rain1 (1.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Weather condition at time of crash

Lighting

Daylight51 (79.7%)
27.5%prior 40
Dark - lighted roadway11 (17.2%)
-8.3%prior 12
Dawn1 (1.6%)
Dusk1 (1.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Lighting condition field

Road Surface

Dry61 (95.3%)
35.6%prior 45
Wet2 (3.1%)
-77.8%prior 9
Other1 (1.6%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Road surface condition field

Vehicles & Demographics

Toyota remained the most frequent vehicle make involved in crashes, with its count increasing from 20 to 26 vehicles. Honda also saw an increase in involvement, from 13 to 18 vehicles. The 26-34 age group experienced the largest increase in persons involved, rising from 30 to 42.

Top Vehicle Makes (130 vehicles)

1
TOYOTA26 (20%)
30.0%prior 20
2
HONDA18 (13.8%)
38.5%prior 13
3
NISSAN13 (10%)
44.4%prior 9
4
FORD13 (10%)
5
JEEP10 (7.7%)
6
CHEVROLET6 (4.6%)
-25.0%prior 8
7
HYUNDAI5 (3.8%)
0.0%prior 5
8
VOLKSWAGEN4 (3.1%)
9
ACURA3 (2.3%)
10
MERCEDES-BENZ3 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Vehicle unit records

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

Sex Distribution (141 persons with recorded sex)

Male85 (60.3%)
25.0%prior 68
Female56 (39.7%)
69.7%prior 33

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · Person-level records linked to crash events

Speed Limit Zones

No fatal crashes were recorded in any speed zone during either period. Crashes in 25 mph zones increased from 26 to 32 year-over-year. Notably, crashes in 35 mph zones more than tripled, rising from 4 in June 2021 to 13 in June 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-06-01 to 2022-06-30 · 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: 2022-06-01 through 2022-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-06-01 through 2022-06-30 (30 days)
  • Geographic scope: SOMERVILLE, MA
  • Total crash records analyzed: 64
  • Total persons involved: 166
  • Total vehicles involved: 130

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 2022." Published June 21, 2026. Reporting period: 2022-06-01 to 2022-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/somerville/june-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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Somerville, MA Crash Report — June 2022 | ThatCarHitMe.com