Monthly Traffic Safety Analysis

35 CRASHES IN
LUDLOW, MA
AUGUST 2023

All metrics benchmarked againstAugust 2022

Total crashes in Ludlow decreased from 39 in August 2022 to 35 in August 2023, representing a 10.3% reduction. Concurrently, total injuries saw a more significant decline of 36.4%, falling from 11 to 7. The most notable year-over-year shift was this substantial decrease in total injuries.

35

-10.3%was 39

Total Crash Events

0

Persons Killed

7

-36.4%was 11

Persons Injured

3

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. 3 crashes with unreported severity are not shown in the severity breakdown.

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 Ludlow for August 2023 showed a downward trend compared to August 2022. Total crashes decreased by 10.3%, from 39 to 35, while total injuries saw a more substantial decline of 36.4%, falling from 11 to 7. This indicates a positive year-over-year improvement in traffic safety outcomes for the month.

3

Hit-and-Run Crashes — August 2023

0.0% vs prior (3)

The number of hit-and-run crashes remained constant at 3 incidents in both August 2022 and August 2023. Despite the consistent count, the hit-and-run crash rate increased slightly from 7.7% in August 2022 to 8.6% in August 2023. This represents an increase of 0.9 percentage points in the rate.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

7

Motorists Injured

Prior: 9-22.2%

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 shifted from Tuesday in August 2022, with 13 incidents, to Monday in August 2023, with 7 incidents. The peak hour also changed, moving from 5 PM with 5 crashes in August 2022 to 6 PM with 4 crashes in August 2023. While both periods show similar evening peak times, the overall distribution across days of the week appears more spread out in August 2023.

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

There were no fatal crashes or fatalities reported in either August 2022 or August 2023. Total injuries decreased from 11 in August 2022 to 7 in August 2023, a 36.4% reduction. Specifically, possible injury crashes decreased from 4 in August 2022 to 1 in August 2023, while serious and minor injury crashes remained constant at 1 and 4 respectively.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes2.9%
0.0%prior 1
Minor Injury4minor injury crashes11.4%
0.0%prior 4
Possible Injury1possible injury crashes2.9%
-75.0%prior 4
No Injury26no injury crashes74.3%
4.0%prior 25

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

Inattention remained the most frequent contributing factor, with 12 crashes in both periods. Crashes attributed to 'No improper driving' increased from 8 in August 2022 to 11 in August 2023, representing a 37.5% increase in count. Conversely, 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' decreased from 3 crashes to 2 crashes, a 33.3% reduction in count, and 'Followed too closely' saw a 50% reduction in count, decreasing from 2 crashes to 1 crash.

Officer-Reported Primary Contributing Cause

Inattention12 (34.3%)0.0%prior 12
No improper driving11 (31.4%)37.5%prior 8
Failed to yield right of way2 (5.7%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner2 (5.7%)
Distracted2 (5.7%)
Driving too fast for conditions1 (2.9%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (2.9%)
Followed too closely1 (2.9%)
Failure to keep in proper lane or running off road1 (2.9%)

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

Clear weather conditions continued to be the most common for crashes, accounting for 22 incidents in August 2023, down from 29 in August 2022. The number of crashes occurring in daylight conditions remained relatively stable, with 30 in August 2023 compared to 29 in August 2022. Crashes on dry road surfaces decreased slightly from 32 in August 2022 to 30 in August 2023, while crashes on wet surfaces remained at 5 in both periods.

Weather

Clear22 (62.9%)
-24.1%prior 29
Clear/Cloudy6 (17.1%)
Clear/Other2 (5.7%)
Cloudy2 (5.7%)
Cloudy/Rain1 (2.9%)
Rain1 (2.9%)
Rain/Cloudy1 (2.9%)

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

Lighting

Daylight30 (85.7%)
3.4%prior 29
Dark - lighted roadway4 (11.4%)
Dusk1 (2.9%)

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

Road Surface

Dry30 (85.7%)
-6.3%prior 32
Wet5 (14.3%)
0.0%prior 5

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

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 64 in August 2022 to 69 in August 2023. Honda remained the top vehicle make involved, increasing from 9 vehicles in August 2022 to 11 in August 2023. The most represented age group for persons involved shifted from 55-64 years (12 persons) in August 2022 to 26-34 years (12 persons) in August 2023.

Top Vehicle Makes (69 vehicles)

1
HONDA11 (15.9%)
22.2%prior 9
2
FORD9 (13%)
50.0%prior 6
3
GMC5 (7.2%)
4
NISSAN5 (7.2%)
5
TOYOTA4 (5.8%)
-33.3%prior 6
6
HYUNDAI4 (5.8%)
-20.0%prior 5
7
CHEVROLET3 (4.3%)
-40.0%prior 5
8
AUDI3 (4.3%)
9
JEEP2 (2.9%)
10
CHRYSLER2 (2.9%)

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

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

Sex Distribution (65 persons with recorded sex)

Male37 (56.9%)
8.8%prior 34
Female28 (43.1%)
3.7%prior 27

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 the 35 mph speed limit zone saw a notable decrease, falling from 16 in August 2022 to 9 in August 2023, a 43.8% reduction. Conversely, crashes in the 65 mph speed limit zone increased from 0 in August 2022 to 7 in August 2023. Crashes in the 25 mph zone decreased from 11 to 7, while crashes in the 40 mph zone increased from 0 to 2. No fatal crashes were reported in any speed zone during either period.

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: LUDLOW, MA
  • Total crash records analyzed: 35
  • Total persons involved: 78
  • Total vehicles involved: 69

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). "LUDLOW, 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/ludlow/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

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