Monthly Traffic Safety Analysis

15 CRASHES IN
SCITUATE, MA
MAY 2023

All metrics benchmarked againstMay 2022

SCITUATE, MA experienced a stable number of total crashes, with 15 incidents in May 2023, identical to the 15 crashes recorded in May 2022. However, total injuries saw a significant increase of 400%, rising from 2 in May 2022 to 10 in May 2023, representing the most notable year-over-year shift.

15

Total Crash Events

0

Persons Killed

10

400.0%was 2

Persons Injured

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend for total crashes in SCITUATE, MA remained stable year-over-year, with 15 crashes reported in both May 2023 and May 2022. Despite this stability in crash count, total injuries saw a substantial increase, rising from 2 in May 2022 to 10 in May 2023.

1

Hit-and-Run Crashes — May 2023

6.7% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

10

Motorists Injured

Prior: 2400.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · 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 between the two periods. In May 2023, the peak day for crashes was Thursday with 3 incidents, and the peak hour was 3 PM with 4 crashes. This contrasts with May 2022, where Friday was the peak day with 4 crashes, and 4 PM was the peak hour, also with 4 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities and fatal crashes remained at zero in both May 2023 and May 2022. Total injuries, however, increased from 2 in May 2022 to 10 in May 2023. The proportion of crashes with minor injuries rose from 13.3% (2 crashes) in May 2022 to 20% (3 crashes) in May 2023, and crashes with possible injuries, absent in May 2022, accounted for 13.3% (2 crashes) in May 2023.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes20%
50.0%prior 2
Possible Injury2possible injury crashes13.3%
No Injury10no injury crashes66.7%
-23.1%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Failed to yield right of way' increased from 2 crashes in May 2022 to 5 crashes in May 2023, a 150% increase in count. 'No improper driving' remained consistent with 5 crashes in both periods. Factors like 'Distracted' appeared in May 2023 with 2 crashes, while 'Inattention' and 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner', each with 2 crashes in May 2022, were not listed in May 2023.

Officer-Reported Primary Contributing Cause

Failed to yield right of way5 (33.3%)
No improper driving5 (33.3%)0.0%prior 5
Distracted2 (13.3%)
Followed too closely1 (6.7%)
Glare1 (6.7%)
Other improper action1 (6.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Clear weather remained the dominant condition for crashes, accounting for 13 incidents in both May 2023 and May 2022. Crashes occurring in daylight increased from 10 in May 2022 to 14 in May 2023, while those in 'Dark - lighted roadway' decreased from 5 to 1 during the same period. Road surface condition data was not available for comparison in May 2023.

Weather

Clear13 (86.7%)
0.0%prior 13
Clear/Unknown1 (6.7%)
Cloudy1 (6.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Weather condition at time of crash

Lighting

Daylight14 (93.3%)
40.0%prior 10
Dark - lighted roadway1 (6.7%)
-80.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Lighting condition field

Vehicles & Demographics

Top Vehicle Makes (33 vehicles)

1
CHEVROLET5 (15.2%)
2
HONDA4 (12.1%)
3
FORD4 (12.1%)
-33.3%prior 6
4
JEEP3 (9.1%)
5
SUBARU3 (9.1%)
6
NISSAN3 (9.1%)
7
DODGE2 (6.1%)
8
TOYOTA1 (3%)
9
AUDI1 (3%)
10
CHRYSLER1 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Vehicle unit records

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

Sex Distribution (40 persons with recorded sex)

Female23 (57.5%)
76.9%prior 13
Male17 (42.5%)
-10.5%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 20 MPH zones increased from 1 in May 2022 to 2 in May 2023, while those in 30 MPH zones decreased from 7 to 3. Crashes in 35 MPH zones emerged with 5 incidents in May 2023, having none recorded in May 2022. Both periods reported zero fatalities across all speed zones.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-05-01 to 2023-05-31 · 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: 2023-05-01 through 2023-05-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-05-01 through 2023-05-31 (31 days)
  • Geographic scope: SCITUATE, MA
  • Total crash records analyzed: 15
  • Total persons involved: 42
  • Total vehicles involved: 33

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). "SCITUATE, MA Crash Intelligence Report: May 2023." Published June 21, 2026. Reporting period: 2023-05-01 to 2023-05-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/scituate/may-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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Scituate, MA Crash Report — May 2023 | ThatCarHitMe.com