Monthly Traffic Safety Analysis

9 CRASHES IN
MONTAGUE, MA
JULY 2023

All metrics benchmarked againstJuly 2022

In July 2023, MONTAGUE experienced 9 total crashes, a 25% decrease compared to the 12 crashes recorded in July 2022. Despite this reduction in crash volume, total injuries rose significantly by 150%, from 2 injuries in the prior period to 5 injuries in the current period. Fatalities remained at zero in both comparative periods.

9

-25.0%was 12

Total Crash Events

0

Persons Killed

5

150.0%was 2

Persons Injured

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 shows a decrease in total crashes, falling by 25% from 12 in July 2022 to 9 in July 2023. Conversely, total injuries increased substantially by 150%, rising from 2 persons injured in the prior year to 5 persons injured in the current year. Fatalities remained stable with no recorded incidents in either period.

1

Hit-and-Run Crashes — July 2023

11.1% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

5

Motorists Injured

Prior: 0%

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 in July 2023 was Friday, with 2 incidents, shared with Thursday, whereas in July 2022, Friday was also the peak day with 3 crashes. The peak hour remained consistent at 2 p.m. in both periods, although the number of crashes at this hour decreased from 3 in July 2022 to 2 in July 2023.

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

Fatalities remained at zero in both July 2022 and July 2023. The distribution of injury severity shifted, with July 2022 reporting 1 serious injury crash (8.3% of crashes) and 11 no injury crashes (91.7%). In July 2023, there were 2 minor injury crashes (22.2%) and 1 possible injury crash (11.1%), while crashes resulting in no injury decreased to 5 (55.6% of crashes).

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes22.2%
Possible Injury1possible injury crashes11.1%
No Injury5no injury crashes55.6%
-54.5%prior 11

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

The contributing factor 'Inattention' saw a 50% decrease in count, from 4 crashes in July 2022 to 2 crashes in July 2023, with its share decreasing from 33.3% to 22.2%. 'No improper driving' also decreased by 33.3% in count, from 3 crashes to 2 crashes. 'Disregarded traffic signs, signals, road markings' remained constant at 1 crash in both periods, while factors like 'Operating vehicle in erratic, reckless, careless, negligent or aggressive manner' and 'Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway' appeared in July 2023 but were not among the top factors in July 2022.

Officer-Reported Primary Contributing Cause

Inattention2 (22.2%)
No improper driving2 (22.2%)
Disregarded traffic signs, signals, road markings1 (11.1%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (11.1%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway1 (11.1%)

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

Regarding weather conditions, crashes occurring in 'Clear' weather decreased from 10 in July 2022 to 5 in July 2023, while 'Rain' conditions maintained 2 crashes in both periods. Road surface conditions showed a decrease in 'Dry' crashes from 10 to 7, with 'Wet' crashes remaining at 2. Lighting conditions cannot be compared due to a lack of data for the current period.

Weather

Clear5 (55.6%)
-50.0%prior 10
Rain2 (22.2%)
Clear/Unknown1 (11.1%)
Cloudy1 (11.1%)

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

Road Surface

Dry7 (77.8%)
-30.0%prior 10
Wet2 (22.2%)

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

Vehicles & Demographics

Top Vehicle Makes (14 vehicles)

1
FORD2 (14.3%)
2
SUBARU2 (14.3%)
3
TOYOTA2 (14.3%)
-60.0%prior 5
4
GMC2 (14.3%)
5
KIA1 (7.1%)
6
HYUNDAI1 (7.1%)
7
CHEVROLET1 (7.1%)
-80.0%prior 5
8
NISSAN1 (7.1%)

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

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

Sex Distribution (12 persons with recorded sex)

Male7 (58.3%)
-46.2%prior 13
Female5 (41.7%)
-44.4%prior 9

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

Fatalities remained at 0 across all speed zones in both July 2022 and July 2023. Crashes in the 20 mph zone decreased from 3 to 1, and in the 25 mph zone from 3 to 2. The 30 mph zone, which had no crashes in the prior period, recorded 3 crashes in the current period, while crashes in the 40 mph and 50 mph zones each decreased from 3 to 1.

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: MONTAGUE, MA
  • Total crash records analyzed: 9
  • Total persons involved: 15
  • Total vehicles involved: 14

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). "MONTAGUE, 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/montague/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

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