Monthly Traffic Safety Analysis

26 CRASHES IN
PEMBROKE, MA
OCTOBER 2023

All metrics benchmarked againstOctober 2022

Total crashes in Pembroke remained stable at 26 in October 2023, mirroring the 26 crashes reported in October 2022. Fatalities were zero in both periods, while total injuries decreased from 13 in October 2022 to 11 in October 2023. A notable shift includes the emergence of 2 hit-and-run crashes in October 2023, compared to none in the prior year, alongside a decrease in DUI crashes from 2 to 0.

26

Total Crash Events

0

Persons Killed

11

-15.4%was 13

Persons Injured

2

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 · 2023-10-01 to 2023-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates stability in total crash volume, with 26 crashes recorded in both October 2023 and October 2022. While total crashes remained flat, total injuries saw a slight decrease from 13 to 11. Fatalities remained at zero in both periods.

2

Hit-and-Run Crashes — October 2023

7.7% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

11

Motorists Injured

Prior: 13-15.4%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes remained Thursday in both periods, though the count decreased from 7 in October 2022 to 6 in October 2023. The peak hour shifted from 5 PM in October 2022 to 3 PM in October 2023, with both hours recording 4 crashes. Monday crashes decreased from 7 to 4, while Friday crashes increased from 0 to 4 year-over-year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both October 2023 and October 2022, with no fatal crashes reported. Total injuries decreased from 13 in October 2022 to 11 in October 2023. Specifically, serious injuries (code 'A') decreased from 1 to 0, and minor injuries (code 'B') decreased from 4 to 3, while possible injuries (code 'C') remained constant at 5.

Outcome by Severity (Crash Events)

Minor Injury3minor injury crashes11.5%
-25.0%prior 4
Possible Injury5possible injury crashes19.2%
0.0%prior 5
No Injury18no injury crashes69.2%
12.5%prior 16

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'No improper driving' increased from 8 in October 2022 to 9 in October 2023. 'Inattention' crashes saw a significant increase from 1 to 5, while 'Followed too closely' crashes decreased from 4 to 2. 'Failed to yield right of way' remained stable at 4 crashes in both periods.

Officer-Reported Primary Contributing Cause

No improper driving9 (34.6%)12.5%prior 8
Inattention5 (19.2%)
Failed to yield right of way4 (15.4%)
Followed too closely2 (7.7%)
Visibility obstructed1 (3.8%)
Distracted1 (3.8%)
Failure to keep in proper lane or running off road1 (3.8%)
Made an improper turn1 (3.8%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 18 in October 2022 to 23 in October 2023, while rain-related crashes decreased from 5 to 3. Crashes on dry road surfaces increased from 19 to 23, and those on wet surfaces decreased from 7 to 3. Daylight crashes increased from 18 to 20, and crashes in 'Dark - roadway not lighted' conditions increased from 3 to 5.

Weather

Clear23 (88.5%)
27.8%prior 18
Rain3 (11.5%)
-40.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Weather condition at time of crash

Lighting

Daylight20 (76.9%)
11.1%prior 18
Dark - roadway not lighted5 (19.2%)
Dark - unknown roadway lighting1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Lighting condition field

Road Surface

Dry23 (88.5%)
21.1%prior 19
Wet3 (11.5%)
-57.1%prior 7

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Road surface condition field

Vehicles & Demographics

The total number of persons involved in crashes decreased from 69 in October 2022 to 61 in October 2023. The 35-44 age group saw an increase in persons involved from 10 to 13, contrasting with a decrease from 16 to 8 in the 45-54 age group. TOYOTA remained the most frequently involved vehicle make, increasing from 9 vehicles in October 2022 to 13 in October 2023, while FORD decreased from 9 to 6 and CHEVROLET increased from 1 to 6.

Top Vehicle Makes (51 vehicles)

1
TOYOTA13 (25.5%)
44.4%prior 9
2
CHEVROLET6 (11.8%)
3
FORD6 (11.8%)
-33.3%prior 9
4
JEEP5 (9.8%)
0.0%prior 5
5
GMC3 (5.9%)
6
HONDA2 (3.9%)
7
NISSAN2 (3.9%)
8
TESL1 (2%)
9
ALUM1 (2%)
10
VOLKSWAGEN1 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Vehicle unit records

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

Sex Distribution (56 persons with recorded sex)

Male32 (57.1%)
23.1%prior 26
Female24 (42.9%)
-42.9%prior 42

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 35 mph speed zone increased slightly from 12 in October 2022 to 13 in October 2023. Conversely, crashes in the 40 mph zone decreased from 6 to 2, while crashes in the 45 mph zone increased from 1 to 5. No fatal crashes were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-10-01 to 2023-10-31 · 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: 2023-10-01 through 2023-10-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-10-01 through 2023-10-31 (31 days)
  • Geographic scope: PEMBROKE, MA
  • Total crash records analyzed: 26
  • Total persons involved: 61
  • Total vehicles involved: 51

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). "PEMBROKE, MA Crash Intelligence Report: October 2023." Published June 21, 2026. Reporting period: 2023-10-01 to 2023-10-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/pembroke/october-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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Pembroke, MA Crash Report — October 2023 | ThatCarHitMe.com