Monthly Traffic Safety Analysis

26 CRASHES IN
REHOBOTH, MA
SEPTEMBER 2022

All metrics benchmarked againstSeptember 2021

In September 2022, Rehoboth experienced 26 crashes, a 4% increase compared to the 25 crashes reported in September 2021. The most notable year-over-year shift was the emergence of speeding-related crashes, which increased from 0 in the prior period to 4 in the current period.

26

4.0%was 25

Total Crash Events

0

Persons Killed

14

75.0%was 8

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

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash data for September 2022 indicates a slight increase in total crashes, rising from 25 in September 2021 to 26. This period also saw a significant 75% increase in total injuries, from 8 to 14.

1

Hit-and-Run Crashes — September 2022

3.8% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Cyclists Injured

Prior: 0%

13

Motorists Injured

Prior: 862.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · 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 Saturday with 7 crashes in September 2021 to Thursday with 6 crashes in September 2022. The peak crash hour also shifted, from 4 PM in the prior period to 1 PM in the current period, with both hours recording 4 crashes.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities reported in either September 2021 or September 2022. However, total injuries increased by 75%, from 8 in the prior period to 14 in the current period, with serious injuries increasing from 1 to 2 and possible injuries from 1 to 4. The proportion of crashes with no injuries decreased from 72% in September 2021 to 50% in September 2022.

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes7.7%
100.0%prior 1
Minor Injury6minor injury crashes23.1%
20.0%prior 5
Possible Injury4possible injury crashes15.4%
300.0%prior 1
No Injury13no injury crashes50%
-27.8%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Most severe injury per crash record

Top Contributing Factors

The number of crashes attributed to 'No improper driving' decreased from 8 in the prior period to 6 in the current period. Conversely, 'Inattention' increased from 2 crashes to 4 crashes, and 'Driving too fast for conditions' appeared in the current period with 3 crashes, not being a top factor in the prior period. 'Failed to yield right of way' and 'Failure to keep in proper lane or running off road' both increased from 1 crash to 3 crashes year-over-year.

Officer-Reported Primary Contributing Cause

No improper driving6 (23.1%)-25.0%prior 8
Inattention4 (15.4%)
Failure to keep in proper lane or running off road3 (11.5%)
Driving too fast for conditions3 (11.5%)
Failed to yield right of way3 (11.5%)
Distracted2 (7.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (7.7%)
Followed too closely1 (3.8%)
History heart/epilepsy/fainting1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The proportion of crashes occurring in clear weather conditions slightly increased from 84% in September 2021 to 88.5% in September 2022. A notable shift was observed in lighting conditions, where the proportion of crashes occurring during daylight decreased from 80% in the prior period to 69.2% in the current period. Crashes on dry road surfaces remained proportionally similar, at 84% in September 2021 and 84.6% in September 2022.

Weather

Clear23 (88.5%)
9.5%prior 21
Rain2 (7.7%)
Cloudy/Rain1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Weather condition at time of crash

Lighting

Daylight18 (69.2%)
-10.0%prior 20
Dark - lighted roadway4 (15.4%)
Dark - roadway not lighted2 (7.7%)
Dark - unknown roadway lighting1 (3.8%)
Dawn1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Lighting condition field

Road Surface

Dry22 (84.6%)
4.8%prior 21
Wet3 (11.5%)
Water (standing, moving)1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (40 vehicles)

1
TOYOTA7 (17.5%)
-12.5%prior 8
2
FORD6 (15%)
-14.3%prior 7
3
DODGE5 (12.5%)
4
HONDA4 (10%)
5
NISSAN3 (7.5%)
6
CHEVROLET3 (7.5%)
7
SUBARU2 (5%)
8
HYUNDAI2 (5%)
9
KIA2 (5%)
10
VOLKSWAGEN1 (2.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Vehicle unit records

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

Sex Distribution (44 persons with recorded sex)

Male32 (72.7%)
28.0%prior 25
Female12 (27.3%)
-33.3%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Person-level records linked to crash events

Speed Limit Zones

There were no fatal crashes in any speed zone during either period. Crashes occurring in the 50 mph speed limit zone saw a substantial increase, rising from 1 crash in September 2021 to 10 crashes in September 2022. Conversely, crashes in the 35 mph zone decreased from 8 to 4, and in the 40 mph zone from 7 to 4, indicating a shift in crash distribution towards higher speed limit areas.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · 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: 2022-09-01 through 2022-09-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-09-01 through 2022-09-30 (30 days)
  • Geographic scope: REHOBOTH, MA
  • Total crash records analyzed: 26
  • Total persons involved: 45
  • Total vehicles involved: 40

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). "REHOBOTH, MA Crash Intelligence Report: September 2022." Published June 21, 2026. Reporting period: 2022-09-01 to 2022-09-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/rehoboth/september-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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Rehoboth, MA Crash Report — September 2022 | ThatCarHitMe.com