Monthly Traffic Safety Analysis

33 CRASHES IN
HANOVER, MA
JUNE 2023

All metrics benchmarked againstJune 2022

Total crashes in Hanover increased by 22.22%, from 27 in June 2022 to 33 in June 2023. Concurrently, total injuries decreased by 50%, falling from 10 to 5 over the same period. This suggests a shift towards less severe crashes despite an overall increase in crash incidents.

33

22.2%was 27

Total Crash Events

0

Persons Killed

5

-50.0%was 10

Persons Injured

0

Fatal Crash Events

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 · 2023-06-01 to 2023-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the number of crashes in Hanover increased by 22.22% year-over-year, rising from 27 crashes in June 2022 to 33 crashes in June 2023. In contrast, the total number of injuries decreased by 50%, from 10 injuries in June 2022 to 5 injuries in June 2023. This indicates an increase in crash frequency but a notable reduction in injury severity for the period.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

5

Motorists Injured

Prior: 10-50.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · 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 Monday with 6 crashes in June 2022 to Tuesday with 8 crashes in June 2023. The peak hour for crashes also changed, moving from 5 p.m. with 4 crashes in June 2022 to 7 p.m. with 4 crashes in June 2023.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatal crashes remained at 0 in both June 2022 and June 2023. The proportion of crashes resulting in any injury (Serious, Minor, or Possible) decreased from 25.9% (7 crashes) in June 2022 to 12.1% (4 crashes) in June 2023. Specifically, minor injury crashes (severity B) decreased from 4 to 1, and possible injury crashes (severity C) decreased from 3 to 2, while serious injury crashes (severity A) appeared with 1 crash in June 2023 after none were recorded in June 2022.

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes3%
Minor Injury1minor injury crashes3%
-75.0%prior 4
Possible Injury2possible injury crashes6.1%
-33.3%prior 3
No Injury29no injury crashes87.9%
52.6%prior 19

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor, "Failed to yield right of way," decreased by 37.5% in count, from 16 crashes in June 2022 to 10 crashes in June 2023. Conversely, crashes attributed to "No improper driving" saw a significant increase in count, rising from 1 in June 2022 to 7 in June 2023. "Failure to keep in proper lane or running off road" also increased in count from 1 to 4 crashes, and "Followed too closely" increased from 2 to 3 crashes.

Officer-Reported Primary Contributing Cause

Failed to yield right of way10 (30.3%)-37.5%prior 16
No improper driving7 (21.2%)
Failure to keep in proper lane or running off road4 (12.1%)
Followed too closely3 (9.1%)
Other improper action2 (6.1%)
Inattention2 (6.1%)
Distracted1 (3%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (3%)
Wrong side or wrong way1 (3%)
Disregarded traffic signs, signals, road markings1 (3%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in clear weather conditions increased from 16 in June 2022 to 21 in June 2023. Similarly, crashes on dry road surfaces increased from 22 to 28 between the two periods. The number of crashes in wet road conditions remained constant at 5 for both June 2022 and June 2023.

Weather

Clear21 (63.6%)
31.3%prior 16
Cloudy8 (24.2%)
14.3%prior 7
Rain2 (6.1%)
Cloudy/Rain1 (3.0%)
Rain/Cloudy1 (3.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Weather condition at time of crash

Lighting

Daylight24 (72.7%)
4.3%prior 23
Dark - lighted roadway5 (15.2%)
Dusk2 (6.1%)
Dark - roadway not lighted1 (3.0%)
Dawn1 (3.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Lighting condition field

Road Surface

Dry28 (84.8%)
27.3%prior 22
Wet5 (15.2%)
0.0%prior 5

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Road surface condition field

Vehicles & Demographics

The total number of vehicles involved in crashes increased from 50 in June 2022 to 63 in June 2023. The top vehicle make involved shifted from TOYOTA (14 vehicles) in June 2022 to FORD (13 vehicles) in June 2023. TOYOTA vehicles involved decreased from 14 to 6, while NISSAN vehicles involved increased from 4 to 7.

Top Vehicle Makes (63 vehicles)

1
FORD13 (20.6%)
2
NISSAN7 (11.1%)
3
CHEVROLET6 (9.5%)
4
JEEP6 (9.5%)
5
TOYOTA6 (9.5%)
-57.1%prior 14
6
HONDA4 (6.3%)
7
LEXUS3 (4.8%)
8
CHRYSLER3 (4.8%)
9
HYUNDAI3 (4.8%)
10
SUBARU2 (3.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Vehicle unit records

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

Sex Distribution (81 persons with recorded sex)

Female41 (50.6%)
13.9%prior 36
Male40 (49.4%)
60.0%prior 25

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in 40 mph speed zones decreased from 16 in June 2022 to 11 in June 2023. Conversely, crashes in 35 mph speed zones increased from 3 in June 2022 to 10 in June 2023. Crashes in 30 mph speed zones also saw an increase, rising from 4 to 6 between the two periods. No fatal crashes were recorded in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2023-06-01 to 2023-06-30 · 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: 2023-06-01 through 2023-06-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2023-06-01 through 2023-06-30 (30 days)
  • Geographic scope: HANOVER, MA
  • Total crash records analyzed: 33
  • Total persons involved: 83
  • Total vehicles involved: 63

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). "HANOVER, MA Crash Intelligence Report: June 2023." Published June 21, 2026. Reporting period: 2023-06-01 to 2023-06-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/hanover/june-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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Hanover, MA Crash Report — June 2023 | ThatCarHitMe.com