Monthly Traffic Safety Analysis

49 CRASHES IN
BELLINGHAM, MA
AUGUST 2023

All metrics benchmarked againstAugust 2022

In August 2023, Bellingham experienced 49 crashes, a decrease of 3.9% compared to the 51 crashes reported in August 2022. The most notable year-over-year shift was a 35.7% reduction in total injuries, falling from 14 to 9.

49

-3.9%was 51

Total Crash Events

0

Persons Killed

9

-35.7%was 14

Persons Injured

0

-100.0%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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash activity in Bellingham showed a slight downward trend in August 2023, with total crashes decreasing by 3.9% from 51 to 49. More significantly, total injuries saw a substantial decrease of 35.7%, from 14 in August 2022 to 9 in August 2023.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

9

Motorists Injured

Prior: 14-35.7%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · 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 Tuesday in both August 2022 and August 2023, with 11 crashes reported on this day in both periods. However, the peak hour shifted from 5p with 8 crashes in August 2022 to 4p with 5 crashes in August 2023. Notably, Sunday crashes increased by 75%, from 4 to 7, while Monday crashes decreased by 62.5%, from 8 to 3.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both August 2022 and August 2023. Total injuries decreased from 14 to 9 year-over-year, representing a 35.7% reduction. While August 2023 saw 2 serious injury crashes (4.1% of total crashes), none were reported in August 2022, and minor injury crashes decreased from 7 (13.7% share) to 2 (4.1% share).

Outcome by Severity (Crash Events)

Serious Injury2serious injury crashes4.1%
Minor Injury2minor injury crashes4.1%
-71.4%prior 7
Possible Injury3possible injury crashes6.1%
0.0%prior 3
No Injury42no injury crashes85.7%
7.7%prior 39

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Most severe injury per crash record

Top Contributing Factors

The count of crashes attributed to 'No improper driving' increased significantly by 133.3%, from 6 in August 2022 to 14 in August 2023, becoming the top contributing factor. Crashes due to 'Inattention' remained constant at 10 in both periods, while 'Failed to yield right of way' crashes increased by 66.7%, from 3 to 5. Conversely, crashes attributed to 'Followed too closely' decreased by 60%, from 5 to 2.

Officer-Reported Primary Contributing Cause

No improper driving14 (28.6%)133.3%prior 6
Inattention10 (20.4%)0.0%prior 10
Failed to yield right of way5 (10.2%)
Distracted3 (6.1%)
Other improper action3 (6.1%)
Fatigued/asleep2 (4.1%)
Followed too closely2 (4.1%)-60.0%prior 5
Operating defective equipment1 (2%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (2%)
Driving too fast for conditions1 (2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Daylight' conditions decreased from 46 in August 2022 to 41 in August 2023, a 10.9% reduction. Concurrently, crashes in 'Dark - lighted roadway' conditions increased by 66.7%, from 3 to 5. Crashes on 'Wet' road surfaces increased by 33.3%, from 6 to 8, while those on 'Dry' surfaces decreased by 8.9%, from 45 to 41.

Weather

Clear38 (77.6%)
-5.0%prior 40
Cloudy7 (14.3%)
40.0%prior 5
Cloudy/Rain2 (4.1%)
Rain2 (4.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Weather condition at time of crash

Lighting

Daylight41 (83.7%)
-10.9%prior 46
Dark - lighted roadway5 (10.2%)
Dusk2 (4.1%)
Dark - roadway not lighted1 (2.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Lighting condition field

Road Surface

Dry41 (83.7%)
-8.9%prior 45
Wet8 (16.3%)
33.3%prior 6

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Road surface condition field

Vehicles & Demographics

The number of Toyota vehicles involved in crashes increased by 16.7%, from 18 in August 2022 to 21 in August 2023, maintaining its position as the most frequent make. Ford vehicles involved in crashes decreased by 47.1%, from 17 to 9, dropping from the second to the third most common make. Chevrolet vehicles saw a 42.9% increase, from 7 to 10, moving from fourth to second most frequent make.

Top Vehicle Makes (90 vehicles)

1
TOYOTA21 (23.3%)
16.7%prior 18
2
CHEVROLET10 (11.1%)
42.9%prior 7
3
FORD9 (10%)
-47.1%prior 17
4
HYUNDAI7 (7.8%)
5
JEEP6 (6.7%)
6
HONDA5 (5.6%)
-37.5%prior 8
7
SUBARU4 (4.4%)
8
DODGE3 (3.3%)
-40.0%prior 5
9
BUIC2 (2.2%)
10
KIA2 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Vehicle unit records

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

Sex Distribution (113 persons with recorded sex)

Male59 (52.2%)
-6.3%prior 63
Female54 (47.8%)
-1.8%prior 55

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 30 mph zones saw a significant increase of 200%, rising from 2 in August 2022 to 6 in August 2023. Conversely, crashes in 35 mph zones decreased by 31.3%, from 16 to 11, and 25 mph zones saw a 15.8% decrease, from 19 to 16. Crashes in 45 mph and 65 mph zones remained unchanged year-over-year.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-08-01 to 2023-08-31 · 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: 2023-08-01 through 2023-08-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-08-01 through 2023-08-31 (31 days)
  • Geographic scope: BELLINGHAM, MA
  • Total crash records analyzed: 49
  • Total persons involved: 116
  • Total vehicles involved: 90

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). "BELLINGHAM, MA Crash Intelligence Report: August 2023." Published June 21, 2026. Reporting period: 2023-08-01 to 2023-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/bellingham/august-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

Bellingham, MA Crash Report — August 2023 | ThatCarHitMe.com