ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MIDDLEBOROUGH, MA · 2025
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/middleborough/2025-annual-report
Yearly Traffic Safety Analysis
966 CRASHES IN
MIDDLEBOROUGH, MA
2025
In 2025, Middleborough recorded 966 total crashes, a 4.9% increase from the 921 crashes in 2024. While total reported injuries decreased from 305 to 282, the number of hit-and-run incidents saw a substantial year-over-year increase of 44.8%, rising from 58 to 84.
966
▲ 4.9%was 921
Total Crash Events
5
▲ 25.0%was 4
Persons Killed
282
▼ -7.5%was 305
Persons Injured
84
▲ 44.8%was 58
Hit-and-Run Crashes
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 25 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends in Middleborough show a slight increase year-over-year, with total collisions rising by 4.9% from 921 in 2024 to 966 in 2025. Despite the rise in total crashes and a small increase in fatalities from 4 to 5, the number of people injured in these incidents decreased by 7.5%.
84
Hit-and-Run Crashes — 2025
▲ 44.8% vs prior (58)
Hit-and-run incidents increased significantly in 2025 compared to the prior year. The total count of hit-and-run crashes rose by 44.8%, from 58 in 2024 to 84 in 2025. This upward trend is also reflected in the hit-and-run rate, which climbed from 6.3% to 8.7% of all crashes.
Vulnerable Road User Casualties
0
Cyclists Killed
5
Motorists Killed
0
Other Killed
6
Cyclists Injured
275
Motorists Injured
1
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between the two periods. In 2025, Monday became the peak day for crashes with 181 incidents, a notable increase from 128 in the prior year when Wednesday was the most frequent crash day. The peak hour for crashes remained consistent at 3 PM, though the volume during this hour increased by 11.1% from 90 to 100 incidents year-over-year.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes remained relatively stable year-over-year, with the number of fatal crashes holding at 4 for both 2025 and 2024. The fatal crash rate saw a marginal decrease from 0.43% to 0.41%. The proportion of crashes resulting in serious or possible injuries also decreased, while the share of non-injury crashes grew from 74.0% to 74.9% of all incidents.
Severity is per crash event (most severe injury). 4 fatal crash events resulted in 5 persons killed.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors for crashes in Middleborough remained consistent, with "Inattention" being the most cited factor in both 2025 (188 crashes) and 2024 (200 crashes). Despite its top ranking, the count of crashes attributed to inattention decreased by 6%. Conversely, crashes where "No improper driving" was noted increased in count by 21.2% from 151 to 183, and incidents involving "Followed too closely" rose by 9.0% from 122 to 133.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions were broadly similar between 2025 and 2024, with the majority of incidents in both years occurring in daylight (around 69% of crashes) and on dry roads (78.4% in 2025 vs 76.2% in 2024). There was a shift in reported weather conditions, with the proportion of crashes during "Clear" weather decreasing from 73.1% to 66.4%. Concurrently, crashes in "Cloudy" conditions saw an increase in count from 57 to 90.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field
Vehicles & Demographics
The vehicle makes most frequently involved in crashes showed little change, with Toyota, Ford, and Chevrolet holding the top three spots in both 2025 and 2024 with similar incident counts. There was a discernible shift in the age demographics of persons involved in collisions, as the number of individuals in the 35-44 age group increased by 15.5% year-over-year. In contrast, involvement for the 26-34 age group decreased by 12.3%.
Top Vehicle Makes (1,696 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
189 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,870 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across speed zones shifted notably year-over-year. Crashes in 65 mph zones increased by 17.3% from 127 to 149, while incidents in 45 mph zones fell by 31.3% from 147 to 101. The location of fatal crashes also changed; whereas three of the four fatal crashes in 2024 occurred in 40 mph zones, the four fatal crashes in 2025 were distributed across 35, 40, 50, and 65 mph zones.
Fatal crashes by zone: 35 mph: 1 of 135 (0.741%) · 40 mph: 1 of 125 (0.8%) · 50 mph: 1 of 66 (1.515%) · 65 mph: 1 of 149 (0.671%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · 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: 2025-01-01 through 2025-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-01-01 through 2025-12-31 (365 days)
- Geographic scope: MIDDLEBOROUGH, MA
- Total crash records analyzed: 966
- Total persons involved: 2,067
- Total vehicles involved: 1,696
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). "MIDDLEBOROUGH, MA Crash Intelligence Report: 2025." Published June 21, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/middleborough/2025-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2025-01-01 – 2025-12-31
Generated: June 21, 2026 · All rights reserved