ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · MIDDLEBOROUGH, MA · 2022
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/2022-annual-report
Yearly Traffic Safety Analysis
961 CRASHES IN
MIDDLEBOROUGH, MA
2022
In 2022, Middleborough recorded 961 total traffic crashes, an increase of 9.8% from the 875 crashes reported in 2021. While overall crashes and injuries increased, fatalities decreased from 3 to 2. The most significant year-over-year change was a 95.5% increase in hit-and-run incidents, which rose from 22 in 2021 to 43 in 2022.
961
▲ 9.8%was 875
Total Crash Events
2
▼ -33.3%was 3
Persons Killed
257
▲ 7.5%was 239
Persons Injured
43
▲ 95.5%was 22
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. 42 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend in traffic crashes shows an increase year-over-year. Total crashes rose by 9.8%, from 875 in 2021 to 961 in 2022. Similarly, the number of people injured increased by 7.5% from 239 to 257, while the number of fatalities decreased from 3 to 2.
43
Hit-and-Run Crashes — 2022
▲ 95.5% vs prior (22)
The number of hit-and-run crashes nearly doubled, increasing by 95.5% from 22 incidents in 2021 to 43 in 2022. This represents a significant upward trend. The hit-and-run rate, as a percentage of total crashes, also rose substantially from 2.5% to 4.5% year-over-year.
Vulnerable Road User Casualties
0
Pedestrians Killed
0
Cyclists Killed
2
Motorists Killed
0
Other Killed
1
Pedestrians Injured
4
Cyclists Injured
251
Motorists Injured
1
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Temporal patterns shifted between the two periods. In 2022, the peak day for crashes was Tuesday with 149 incidents, a change from Friday (138 incidents) in 2021. The peak hour for crashes also shifted an hour later, from 4 PM in 2021 (92 crashes) to 5 PM in 2022 (103 crashes), with the 3 PM to 5 PM period accounting for a larger share of crashes in the more recent year.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The number of fatal crashes decreased from 3 in 2021 to 2 in 2022, with the fatal crash rate falling from 0.34 to 0.21 per 100 crashes. The proportion of crashes resulting in serious injury remained stable at 2.6% of all incidents, though the absolute count rose from 23 to 25. The share of minor injury crashes declined from 10.5% to 8.8% of the total, while possible injury crashes saw their share increase from 7.2% to 8.3%.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Most severe injury per crash record
Top Contributing Factors
Inattention remained the top contributing factor in both years, though its count decreased by 8.6% from 197 incidents in 2021 to 180 in 2022. The top four factors were consistent across both periods. However, there were significant year-over-year increases in crashes attributed to 'Followed too closely,' which rose by 34.3% from 102 to 137 incidents, and 'Failed to yield right of way,' which increased by 34.4% from 90 to 121 incidents.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in clear weather and on dry roads constituted the majority in both years, with their proportions remaining relatively stable. The most significant change was observed in lighting conditions, where crashes on dark but lighted roadways increased by 56.6%, from 83 incidents in 2021 to 130 in 2022. Consequently, their share of total crashes grew from 9.5% to 13.5% year-over-year.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Road surface condition field
Vehicles & Demographics
The top five vehicle makes involved in crashes remained consistent year-over-year, led by Toyota and Ford in both periods. Analysis of persons involved in crashes shows notable demographic shifts, with the number of individuals in the 26-34 and 35-44 age groups increasing by 24.4% and 22.6% respectively. In contrast, the 65+ age group was the only cohort to see a decrease in crash involvement, falling by 12.6% from 222 individuals in 2021 to 194 in 2022.
Top Vehicle Makes (1,641 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Vehicle unit records
119 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,935 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes increased across most major speed zones year-over-year. The most substantial growth occurred in 25 mph zones, where incidents rose by 40% from 173 to 242. Fatal crashes also shifted to different speed zones; in 2022, the two fatal crashes occurred in 45 mph and 65 mph zones, whereas in 2021, the three fatal crashes were in 35, 40, and 50 mph zones.
Fatal crashes by zone: 45 mph: 1 of 153 (0.654%) · 65 mph: 1 of 133 (0.752%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-12-31 · 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: 2022-01-01 through 2022-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2022-01-01 through 2022-12-31 (365 days)
- Geographic scope: MIDDLEBOROUGH, MA
- Total crash records analyzed: 961
- Total persons involved: 2,060
- Total vehicles involved: 1,641
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: 2022." Published June 21, 2026. Reporting period: 2022-01-01 to 2022-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/middleborough/2022-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: 2022-01-01 – 2022-12-31
Generated: June 21, 2026 · All rights reserved