Monthly Traffic Safety Analysis

92 CRASHES IN
MIDDLEBOROUGH, MA
JULY 2023

All metrics benchmarked againstJuly 2022

In July 2023, MIDDLEBOROUGH experienced 92 crashes, marking a 27.8% increase from the 72 crashes recorded in July 2022. Notably, total fatalities decreased significantly from 2 in the prior period to 0 in the current period.

92

27.8%was 72

Total Crash Events

0

-100.0%was 2

Persons Killed

43

115.0%was 20

Persons Injured

4

300.0%was 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 · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates an increase in total crashes year-over-year, with 92 crashes in July 2023 compared to 72 in July 2022, representing a 27.8% rise. Despite this increase in crash volume, the number of fatalities decreased from 2 to 0.

4

Hit-and-Run Crashes — July 2023

300.0% vs prior (1)

Hit-and-run crashes increased from 1 in July 2022 to 4 in July 2023. This resulted in the hit-and-run crash rate rising from 1.4% to 4.3% year-over-year.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 2-100.0%

1

Pedestrians Injured

Prior: 0%

42

Motorists Injured

Prior: 19121.1%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The peak day for crashes shifted from Sunday with 18 crashes in July 2022 to Monday with 20 crashes in July 2023. Similarly, the peak hour for crashes moved from 4 p.m. with 7 crashes in the prior year to 5 p.m. with 12 crashes in the current year, indicating a shift in daily crash patterns.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Total fatalities decreased from 2 in July 2022 to 0 in July 2023, while total injuries increased from 20 to 43. The fatal crash rate dropped from 2.78% to 0%. The proportion of crashes resulting in serious injuries remained similar, at 6.9% in July 2022 and 6.5% in July 2023.

Outcome by Severity (Crash Events)

Serious Injury6serious injury crashes6.5%
20.0%prior 5
Minor Injury14minor injury crashes15.2%
366.7%prior 3
Possible Injury7possible injury crashes7.6%
40.0%prior 5
No Injury64no injury crashes69.6%
28.0%prior 50

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Most severe injury per crash record

Top Contributing Factors

Among contributing factors, 'Failed to yield right of way' saw the largest increase in count, rising from 9 crashes in July 2022 to 18 crashes in July 2023. 'Inattention' also increased in count from 14 to 19 crashes year-over-year. Conversely, 'Distracted' crashes decreased in count from 5 in the prior period to 3 in the current period.

Officer-Reported Primary Contributing Cause

Inattention19 (20.7%)35.7%prior 14
Failed to yield right of way18 (19.6%)100.0%prior 9
Followed too closely13 (14.1%)8.3%prior 12
No improper driving11 (12%)57.1%prior 7
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner8 (8.7%)
Fatigued/asleep3 (3.3%)
Exceeded authorized speed limit3 (3.3%)
Distracted3 (3.3%)-40.0%prior 5
Other improper action3 (3.3%)
Failure to keep in proper lane or running off road2 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 64 in July 2022 to 73 in July 2023. Crashes on wet road surfaces saw a notable rise in count, from 1 in the prior period to 11 in the current period. The number of crashes occurring in daylight conditions increased from 60 to 76 year-over-year.

Weather

Clear73 (81.1%)
14.1%prior 64
Cloudy10 (11.1%)
66.7%prior 6
Rain7 (7.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash

Lighting

Daylight76 (82.6%)
26.7%prior 60
Dark - lighted roadway6 (6.5%)
Dark - roadway not lighted6 (6.5%)
Dawn2 (2.2%)
Dusk2 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field

Road Surface

Dry80 (87.9%)
12.7%prior 71
Wet11 (12.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 127 in July 2022 to 172 in July 2023. Ford and Honda vehicles saw notable increases in involvement, with Ford rising from 15 to 25 and Honda from 9 to 16. The 16-20 age group experienced a substantial increase in persons involved, from 14 in the prior year to 26 in the current year.

Top Vehicle Makes (172 vehicles)

1
FORD25 (14.5%)
66.7%prior 15
2
TOYOTA19 (11%)
11.8%prior 17
3
HONDA16 (9.3%)
77.8%prior 9
4
CHEVROLET14 (8.1%)
27.3%prior 11
5
HYUNDAI10 (5.8%)
-23.1%prior 13
6
NISSAN10 (5.8%)
25.0%prior 8
7
GMC8 (4.7%)
8
JEEP6 (3.5%)
0.0%prior 6
9
DODGE6 (3.5%)
10
RAM5 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Vehicle unit records

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

Sex Distribution (195 persons with recorded sex)

Male111 (56.9%)
44.2%prior 77
Female84 (43.1%)
29.2%prior 65

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 25 mph speed zone increased from 17 in July 2022 to 24 in July 2023, and those in the 35 mph zone rose from 9 to 20. Crashes in the 65 mph speed zone decreased from 15 to 11. No fatalities were recorded in any speed zone in July 2023, compared to 1 fatality each in the 45 mph and 65 mph zones in July 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-07-01 through 2023-07-31 (31 days)
  • Geographic scope: MIDDLEBOROUGH, MA
  • Total crash records analyzed: 92
  • Total persons involved: 213
  • Total vehicles involved: 172

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: July 2023." Published June 21, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/middleborough/july-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

ThatCarHitMe.com · An Injuria.ai Company

Middleborough, MA Crash Report — July 2023 | ThatCarHitMe.com