Monthly Traffic Safety Analysis

26 CRASHES IN
HANOVER, MA
SEPTEMBER 2022

All metrics benchmarked againstSeptember 2021

HANOVER, MA experienced 26 crashes in September 2022, a 4% increase from the 25 crashes reported in September 2021. Despite this slight rise in total crashes, the number of total injuries decreased by 45.45%, falling from 11 in the prior period to 6 in the current period.

26

4.0%was 25

Total Crash Events

0

Persons Killed

6

-45.5%was 11

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 · 2022-09-01 to 2022-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash activity in HANOVER saw a slight increase, with total crashes rising from 25 in September 2021 to 26 in September 2022, representing a 4% increase. Fatalities remained stable at 0 in both periods, while total injuries significantly decreased by 45.45%, from 11 to 6.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

6

Motorists Injured

Prior: 11-45.5%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · 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 Thursday in September 2021, with 8 incidents, to Friday in September 2022, with 6 incidents. The peak crash hour also changed, moving from 5 p.m. with 4 crashes in the prior period to 3 p.m. with 5 crashes in the current period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities reported in either September 2021 or September 2022. Total injuries decreased from 11 in September 2021 to 6 in September 2022. Notably, serious injury crashes (severity 'A') appeared in September 2022 with 1 incident, while there were 0 in September 2021; minor injury crashes (severity 'B') decreased from 4 (16% of crashes) to 2 (7.7% of crashes), and possible injury crashes (severity 'C') decreased from 5 (20% of crashes) to 2 (7.7% of crashes).

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes3.8%
Minor Injury2minor injury crashes7.7%
-50.0%prior 4
Possible Injury2possible injury crashes7.7%
-60.0%prior 5
No Injury21no injury crashes80.8%
31.3%prior 16

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Failed to yield right of way' decreased in count from 10 crashes (40% share) in September 2021 to 7 crashes (26.9% share) in September 2022. Conversely, 'Inattention' increased from 1 crash (4% share) to 5 crashes (19.2% share), and 'Failure to keep in proper lane or running off road' rose from 1 crash (4% share) to 4 crashes (15.4% share). 'Followed too closely' also saw a decrease in count from 4 crashes (16% share) to 1 crash (3.8% share).

Officer-Reported Primary Contributing Cause

Failed to yield right of way7 (26.9%)-30.0%prior 10
Inattention5 (19.2%)
Failure to keep in proper lane or running off road4 (15.4%)
No improper driving2 (7.7%)
Swerving or avoiding due to wind, slippery surface, vehicle, object, vulnerable user in roadway2 (7.7%)
Distracted1 (3.8%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (3.8%)
Followed too closely1 (3.8%)
Driving too fast for conditions1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions decreased from 15 in September 2021 to 13 in September 2022, while crashes in 'Cloudy' conditions increased from 5 to 9. The number of crashes on 'Wet' road surfaces increased from 4 in the prior period to 6 in the current period, whereas crashes on 'Dry' road surfaces decreased slightly from 21 to 20. Crashes occurring during 'Daylight' increased from 22 to 23, and those in 'Dark - lighted roadway' conditions increased from 1 to 2.

Weather

Clear13 (50.0%)
-13.3%prior 15
Cloudy9 (34.6%)
80.0%prior 5
Cloudy/Rain2 (7.7%)
Clear/Cloudy1 (3.8%)
Rain1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Weather condition at time of crash

Lighting

Daylight23 (88.5%)
4.5%prior 22
Dark - lighted roadway2 (7.7%)
Dark - roadway not lighted1 (3.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Lighting condition field

Road Surface

Dry20 (76.9%)
-4.8%prior 21
Wet6 (23.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (46 vehicles)

1
TOYOTA9 (19.6%)
80.0%prior 5
2
HONDA7 (15.2%)
40.0%prior 5
3
NISSAN5 (10.9%)
4
CHEVROLET4 (8.7%)
-20.0%prior 5
5
FORD4 (8.7%)
6
MERCEDES-BENZ3 (6.5%)
7
DODGE2 (4.3%)
8
GMC2 (4.3%)
9
KIA2 (4.3%)
10
JEEP1 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Vehicle unit records

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

Sex Distribution (58 persons with recorded sex)

Male37 (63.8%)
42.3%prior 26
Female21 (36.2%)
-32.3%prior 31

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph speed zone increased from 4 in September 2021 to 6 in September 2022, while those in the 35 mph zone decreased from 6 to 4. Crashes in the 40 mph speed zone saw a slight increase from 9 to 10. The 45 mph speed zone experienced a decrease from 3 crashes to 1 crash. No fatalities were reported in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-09-01 to 2022-09-30 · 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: 2022-09-01 through 2022-09-30
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-09-01 through 2022-09-30 (30 days)
  • Geographic scope: HANOVER, MA
  • Total crash records analyzed: 26
  • Total persons involved: 61
  • Total vehicles involved: 46

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: September 2022." Published June 21, 2026. Reporting period: 2022-09-01 to 2022-09-30. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/hanover/september-2022-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 — September 2022 | ThatCarHitMe.com