Yearly Traffic Safety Analysis

239 CRASHES IN
REHOBOTH, MA
2023

All metrics benchmarked against2022

In 2023, Rehoboth recorded 239 total vehicle crashes, a 9.1% decrease from the 263 crashes reported in 2022. While overall crashes declined, the most significant year-over-year change was the occurrence of two fatal crashes resulting in two deaths in 2023, compared to zero fatalities in the prior year. This introduction of fatal incidents occurred despite a 24.5% drop in the total number of people injured.

239

-9.1%was 263

Total Crash Events

2

Persons Killed

74

-24.5%was 98

Persons Injured

5

Hit-and-Run Crashes

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 5 crashes with unreported severity are not shown in the severity breakdown.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Traffic safety trends in Rehoboth showed a general improvement from 2022 to 2023, with total crashes falling by 9.1% from 263 to 239. The number of people injured in these incidents also decreased significantly by 24.5%, from 98 in 2022 to 74 in 2023. Despite this overall downward trend in crash and injury volume, the year was marked by the introduction of two traffic fatalities where there had been none the previous year.

5

Hit-and-Run Crashes — 2023

0.0% vs prior (5)

The number of hit-and-run crashes in Rehoboth remained unchanged, with five incidents reported in both 2023 and 2022. However, due to the overall decrease in total crashes in 2023, the hit-and-run rate saw a slight increase from 1.9% to 2.1% of all crashes. This indicates a stable volume of hit-and-run events but a slightly higher proportion relative to all crashes.

Vulnerable Road User Casualties

0

Cyclists Killed

Prior: 00.0%

2

Motorists Killed

Prior: 0%

5

Cyclists Injured

Prior: 1400.0%

69

Motorists Injured

Prior: 96-28.1%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes in Rehoboth showed both consistency and shifts year-over-year. Tuesday remained the peak day for crashes in both 2022 (45 crashes) and 2023 (46 crashes). However, the peak hour for collisions shifted from the mid-afternoon at 2 p.m. in 2022 to the evening commute hour of 5 p.m. in 2023, though both periods recorded an identical high of 24 crashes during their respective peak hours.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity in Rehoboth worsened in 2023, primarily due to the introduction of two fatal crashes, which were absent in 2022; these incidents represented 0.8% of all crashes. While the number of serious injury crashes remained unchanged at six, the count of minor injury crashes decreased from 40 to 32. The proportion of crashes resulting in no injuries remained stable, accounting for 72.0% of incidents in 2023 compared to 72.2% in 2022.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.8%
Serious Injury6serious injury crashes2.5%
0.0%prior 6
Minor Injury32minor injury crashes13.4%
-20.0%prior 40
Possible Injury22possible injury crashes9.2%
15.8%prior 19
No Injury172no injury crashes72%
-9.5%prior 190

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record

Top Contributing Factors

The leading contributing factors for crashes in Rehoboth saw notable shifts between 2022 and 2023. 'Followed too closely' saw a significant increase in incidents, with its count rising from 11 to 21, a 90.9% increase. Conversely, crashes attributed to 'Failed to yield right of way' decreased from 29 to 21, and 'Inattention' saw a sharp drop from 26 to 10 incidents. 'No improper driving' remained the most cited circumstance in both years but its count decreased from 98 to 87.

Officer-Reported Primary Contributing Cause

No improper driving87 (36.4%)-11.2%prior 98
Followed too closely21 (8.8%)90.9%prior 11
Failed to yield right of way21 (8.8%)-27.6%prior 29
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner14 (5.9%)55.6%prior 9
Failure to keep in proper lane or running off road11 (4.6%)-21.4%prior 14
Inattention10 (4.2%)-61.5%prior 26
Driving too fast for conditions10 (4.2%)-9.1%prior 11
Other improper action10 (4.2%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway8 (3.3%)-42.9%prior 14
Distracted7 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The environmental conditions under which crashes occurred in Rehoboth were remarkably similar between 2022 and 2023. In both periods, the vast majority of incidents happened in daylight (60.7% in 2023 vs. 58.2% in 2022) and on dry road surfaces (78.2% in 2023 vs. 72.2% in 2022). Crashes in dark, unlighted conditions accounted for 28.0% of the total in 2023, compared to 29.3% in the prior year, showing no significant shift in patterns related to adverse conditions.

Weather

Clear178 (74.8%)
-7.3%prior 192
Cloudy19 (8.0%)
-36.7%prior 30
Rain17 (7.1%)
54.5%prior 11
Cloudy/Rain8 (3.4%)
33.3%prior 6
Snow4 (1.7%)
-20.0%prior 5
Rain/Cloudy2 (0.8%)
Snow/Sleet, hail (freezing rain or drizzle)2 (0.8%)
Clear/Cloudy1 (0.4%)
Sleet, hail (freezing rain or drizzle)/Snow1 (0.4%)
Snow/Cloudy1 (0.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Weather condition at time of crash

Lighting

Daylight145 (60.9%)
-5.2%prior 153
Dark - roadway not lighted67 (28.2%)
-13.0%prior 77
Dark - lighted roadway13 (5.5%)
0.0%prior 13
Dusk9 (3.8%)
-18.2%prior 11
Dawn4 (1.7%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Lighting condition field

Road Surface

Dry187 (78.6%)
-1.6%prior 190
Wet40 (16.8%)
-4.8%prior 42
Ice5 (2.1%)
-54.5%prior 11
Snow4 (1.7%)
-71.4%prior 14
Water (standing, moving)1 (0.4%)
Slush1 (0.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Road surface condition field

Vehicles & Demographics

The top three vehicle makes involved in crashes—Toyota, Ford, and Chevrolet—remained unchanged in rank between 2022 and 2023. However, the age demographics of persons involved in crashes showed a noticeable shift. In 2022, the 16-20 and 26-34 age groups were most represented with 73 individuals each. In 2023, the most-involved age brackets shifted older to the 26-34 and 35-44 groups (71 individuals each), while the number of persons aged 16-20 involved in crashes decreased substantially from 73 to 40.

Top Vehicle Makes (370 vehicles)

1
TOYOTA67 (18.1%)
6.3%prior 63
2
FORD50 (13.5%)
25.0%prior 40
3
CHEVROLET36 (9.7%)
2.9%prior 35
4
HONDA30 (8.1%)
-9.1%prior 33
5
NISSAN16 (4.3%)
-40.7%prior 27
6
BMW13 (3.5%)
116.7%prior 6
7
KIA12 (3.2%)
-20.0%prior 15
8
GMC11 (3%)
57.1%prior 7
9
SUBARU11 (3%)
-57.7%prior 26
10
HYUNDAI11 (3%)
-31.3%prior 16

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Vehicle unit records

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

Sex Distribution (429 persons with recorded sex)

Male272 (63.4%)
3.8%prior 262
Female155 (36.1%)
-20.9%prior 196
X / Unspecified2 (0.5%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · Person-level records linked to crash events

Speed Limit Zones

In both 2022 and 2023, the 40 mph speed zone was the site of the most crashes, with 82 and 71 incidents respectively. A notable shift occurred in the 50 mph zone, where the number of crashes increased from 38 to 57 year-over-year. The most critical change was the emergence of fatalities in 2023, with one fatal crash recorded in a 25 mph zone and another in a 40 mph zone, whereas no fatal crashes were reported in any speed zone in 2022.

Fatal crashes by zone: 25 mph: 1 of 13 (7.692%) · 40 mph: 1 of 71 (1.408%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-01-01 through 2023-12-31 (365 days)
  • Geographic scope: REHOBOTH, MA
  • Total crash records analyzed: 239
  • Total persons involved: 467
  • Total vehicles involved: 370

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: 2023." Published June 21, 2026. Reporting period: 2023-01-01 to 2023-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/rehoboth/2023-annual-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 — 2023 | ThatCarHitMe.com