Monthly Traffic Safety Analysis

85 CRASHES IN
LEOMINSTER, MA
AUGUST 2023

All metrics benchmarked againstAugust 2022

In August 2023, LEOMINSTER, MA recorded 85 crashes, a decrease of 9 crashes or 9.6% compared to the 94 crashes in August 2022. A notable shift is the absence of fatalities in August 2023, down from one fatality in the prior year.

85

▼ -9.6%was 94

Total Crash Events

0

▼ -100.0%was 1

Persons Killed

25

▼ -10.7%was 28

Persons Injured

5

▲ 25.0%was 4

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 LEOMINSTER, MA trended downward year-over-year. Total crashes decreased by 9 incidents, representing a 9.6% reduction from 94 crashes in August 2022 to 85 crashes in August 2023.

5

Hit-and-Run Crashes — August 2023

▲ 25.0% vs prior (4)

The number of hit-and-run crashes increased from 4 in August 2022 to 5 in August 2023. The hit-and-run rate also rose from 4.3% of total crashes to 5.9% year-over-year, indicating an upward trend in such incidents.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 1↓-100.0%

25

Motorists Injured

Prior: 25→0.0%

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 with 22 crashes in August 2022 to Thursday and Wednesday, both with 17 crashes, in August 2023. The peak hour for crashes also changed, moving from 5 PM with 10 crashes in August 2022 to 4 PM with 12 crashes 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

Fatalities decreased from 1 in August 2022 to 0 in August 2023, a significant improvement. Total injuries also saw a reduction, dropping from 28 to 25. While minor and possible injuries decreased, serious injuries increased slightly from 3 to 4.

Outcome by Severity (Crash Events)

Serious Injury4serious injury crashes4.7%
↑33.3%prior 3
Minor Injury10minor injury crashes11.8%
↓-23.1%prior 13
Possible Injury4possible injury crashes4.7%
↓-42.9%prior 7
No Injury67no injury crashes78.8%
↓-4.3%prior 70

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 leading contributing factor, though its count decreased from 34 in August 2022 to 23 in August 2023, a 32.4% reduction. Crashes attributed to 'Failed to yield right of way' increased by 5, from 13 to 18, representing a 38.5% rise. 'Followed too closely' decreased from 13 to 11 crashes, a 15.4% reduction.

Officer-Reported Primary Contributing Cause

Inattention23 (27.1%)↓-32.4%prior 34
Failed to yield right of way18 (21.2%)↑38.5%prior 13
Followed too closely11 (12.9%)↓-15.4%prior 13
Failure to keep in proper lane or running off road6 (7.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner4 (4.7%)
No improper driving4 (4.7%)↓-55.6%prior 9
Made an improper turn2 (2.4%)
Distracted2 (2.4%)
Disregarded traffic signs, signals, road markings2 (2.4%)
Other improper action2 (2.4%)

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 clear weather conditions decreased from 78 in August 2022 to 61 in August 2023. Conversely, crashes during rainy weather increased from 4 to 6, and those on wet road surfaces increased from 7 to 12. Daylight crashes decreased from 75 to 68, while crashes in dark-lighted roadway conditions decreased from 14 to 10.

Weather

Clear61 (71.8%)
↓-21.8%prior 78
Cloudy11 (12.9%)
↑22.2%prior 9
Rain6 (7.1%)
Clear/Cloudy3 (3.5%)
Cloudy/Rain3 (3.5%)
Clear/Unknown1 (1.2%)

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

Lighting

Daylight68 (80.0%)
↓-9.3%prior 75
Dark - lighted roadway10 (11.8%)
↓-28.6%prior 14
Dusk5 (5.9%)
Dark - roadway not lighted2 (2.4%)

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

Road Surface

Dry73 (85.9%)
↓-16.1%prior 87
Wet12 (14.1%)
↑71.4%prior 7

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

Vehicles & Demographics

The age group 16-20 saw a decrease in representation from 30 persons in August 2022 to 23 in August 2023, while the 65+ age group also decreased from 34 to 21 persons. Toyota and Honda vehicles were involved in more crashes, increasing by 2 and 3 respectively. Chevrolet vehicles saw a notable decrease in involvement, dropping from 23 to 9.

Top Vehicle Makes (158 vehicles)

1
TOYOTA30 (19%)
↑7.1%prior 28
2
HONDA25 (15.8%)
↑13.6%prior 22
3
FORD15 (9.5%)
↓-16.7%prior 18
4
JEEP11 (7%)
↑37.5%prior 8
5
NISSAN11 (7%)
→0.0%prior 11
6
CHEVROLET9 (5.7%)
↓-60.9%prior 23
7
HYUNDAI8 (5.1%)
8
DODGE7 (4.4%)
↑40.0%prior 5
9
KIA5 (3.2%)
↓-28.6%prior 7
10
AUDI4 (2.5%)

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

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

Sex Distribution (190 persons with recorded sex)

Male105 (55.3%)
↓-11.8%prior 119
Female85 (44.7%)
↓-15.8%prior 101

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 30 mph speed limit zone decreased from 41 in August 2022 to 36 in August 2023, with no fatalities recorded in this zone in the current period compared to one fatality previously. Crashes in the 25 mph zone decreased from 18 to 11. Conversely, crashes in the 55 mph zone increased from 6 to 10.

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: LEOMINSTER, MA
  • Total crash records analyzed: 85
  • Total persons involved: 197
  • Total vehicles involved: 158

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). "LEOMINSTER, 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/leominster/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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Leominster, MA Crash Report — August 2023 | ThatCarHitMe.com