Monthly Traffic Safety Analysis

22 CRASHES IN
SANDWICH, MA
JULY 2023

All metrics benchmarked againstJuly 2022

In July 2023, Sandwich recorded 22 crashes, a decrease of 43.6% from the 39 crashes reported in July 2022. Despite this overall reduction in crash volume, total injuries increased by 25%, from 4 to 5, with the appearance of one serious injury crash in the current period.

22

▼ -43.6%was 39

Total Crash Events

0

Persons Killed

5

▲ 25.0%was 4

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 · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Total crashes decreased from 39 in July 2022 to 22 in July 2023, representing a 43.6% reduction year-over-year. While the number of crashes fell, the total number of injuries increased from 4 to 5, a 25% rise. Fatalities remained at zero in both periods.

1

Hit-and-Run Crashes — July 2023

▼ 0.0% vs prior (1)

The number of hit-and-run crashes remained stable at 1 in both July 2022 and July 2023. However, due to the overall decrease in total crashes, the hit-and-run rate increased from 2.6% in the prior period to 4.5% in the current period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 0→0.0%

5

Motorists Injured

Prior: 3↑66.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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. In July 2023, Monday was the peak day with 7 crashes, whereas Saturday was the peak day in July 2022 with 9 crashes. The peak hour also changed from 11 AM (5 crashes) in July 2022 to 5 PM (3 crashes) in July 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at zero in both July 2022 and July 2023. However, total injuries increased from 4 in July 2022 to 5 in July 2023. The severity distribution shows a notable change, with one serious injury crash recorded in July 2023, compared to none in the prior period.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes4.5%
Minor Injury2minor injury crashes9.1%
→0.0%prior 2
Possible Injury2possible injury crashes9.1%
→0.0%prior 2
No Injury17no injury crashes77.3%
↓-51.4%prior 35

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record

Top Contributing Factors

The landscape of contributing factors saw shifts year-over-year. Crashes attributed to "Failed to yield right of way" decreased significantly from 8 in July 2022 to 3 in July 2023. Conversely, crashes linked to "Inattention" increased from 5 in the prior period to 8 in the current period. Additionally, "No improper driving" and "Followed too closely" were among the top factors in July 2022 with 7 and 6 crashes respectively, but were not present in the current period's top factors.

Officer-Reported Primary Contributing Cause

Inattention8 (36.4%)↑60.0%prior 5
Other improper action3 (13.6%)
Failed to yield right of way3 (13.6%)↓-62.5%prior 8
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (9.1%)
Failure to keep in proper lane or running off road2 (9.1%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (4.5%)
Distracted1 (4.5%)
Over-correcting/over-steering1 (4.5%)
Disregarded traffic signs, signals, road markings1 (4.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather decreased from 33 in July 2022 to 19 in July 2023. Similarly, crashes during daylight hours reduced from 31 to 18 year-over-year. The number of crashes on dry road surfaces decreased from 38 to 20, while crashes on wet road surfaces saw a slight increase from 1 to 2.

Weather

Clear19 (90.5%)
↓-42.4%prior 33
Cloudy1 (4.8%)
Rain1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash

Lighting

Daylight18 (81.8%)
↓-41.9%prior 31
Dusk3 (13.6%)
Dark - roadway not lighted1 (4.5%)
↓-83.3%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field

Road Surface

Dry20 (90.9%)
↓-47.4%prior 38
Wet2 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (43 vehicles)

1
CHEVROLET11 (25.6%)
↑57.1%prior 7
2
TOYOTA6 (14%)
3
FORD4 (9.3%)
↓-50.0%prior 8
4
HONDA3 (7%)
↓-57.1%prior 7
5
VOLVO2 (4.7%)
6
GMC2 (4.7%)
7
LEXUS2 (4.7%)
8
MERCEDES-BENZ2 (4.7%)
9
JEEP1 (2.3%)
↓-87.5%prior 8
10
MAZDA1 (2.3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records

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

Sex Distribution (50 persons with recorded sex)

Female26 (52.0%)
↓-29.7%prior 37
Male24 (48.0%)
↓-52.0%prior 50

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Person-level records linked to crash events

Speed Limit Zones

The total number of crashes reported across all speed zones decreased from 39 in July 2022 to 22 in July 2023. Specifically, crashes in the 40 mph zone decreased from 9 to 5, and in the 45 mph zone from 6 to 2. Crashes at 30 mph remained consistent at 6 in both periods, and there were no fatal crashes in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-07-01 through 2023-07-31 (31 days)
  • Geographic scope: SANDWICH, MA
  • Total crash records analyzed: 22
  • Total persons involved: 62
  • Total vehicles involved: 43

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). "SANDWICH, MA Crash Intelligence Report: July 2023." Published June 21, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/sandwich/july-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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Sandwich, MA Crash Report — July 2023 | ThatCarHitMe.com