Monthly Traffic Safety Analysis

35 CRASHES IN
WALPOLE, MA
JANUARY 2022

All metrics benchmarked againstJanuary 2021

Total crashes in Walpole, MA increased from 26 in January 2021 to 35 in January 2022, representing a 34.6% rise year-over-year. This period also saw an increase in crashes where no improper driving was cited, rising from 3 to 7 incidents.

35

34.6%was 26

Total Crash Events

0

Persons Killed

3

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.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash incidents in Walpole, MA increased year-over-year, with 35 crashes recorded in January 2022 compared to 26 crashes in January 2021. This marks an increase of 9 crashes, or a 34.6% rise.

1

Hit-and-Run Crashes — January 2022

2.9% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Pedestrians Killed

Prior: 00.0%

0

Motorists Killed

Prior: 00.0%

1

Pedestrians Injured

Prior: 10.0%

2

Motorists Injured

Prior: 20.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · 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 Friday with 6 incidents in January 2021 to Thursday and Wednesday, both with 7 incidents, in January 2022. The peak hour for crashes also changed from 8 AM with 4 incidents in January 2021 to 4 PM with 4 incidents in January 2022. Notably, crashes on Wednesday increased from 0 to 7, while crashes on Friday decreased from 6 to 3.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both January 2021 and January 2022. The total number of injured persons also remained stable at 3 across both periods. While January 2021 reported 1 serious injury crash, January 2022 did not record any serious injury crashes, with minor injury crashes increasing from 1 to 2.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes5.7%
100.0%prior 1
No Injury33no injury crashes94.3%
50.0%prior 22

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · Most severe injury per crash record

Top Contributing Factors

Crashes attributed to 'No improper driving' increased from 3 in January 2021 to 7 in January 2022, a 133.3% increase in count. 'Failed to yield right of way' crashes rose from 1 to 4, a 300% increase in count. 'Followed too closely' appeared as a factor in 3 crashes in January 2022, having not been listed in the prior period's top factors.

Officer-Reported Primary Contributing Cause

No improper driving7 (20%)
Failed to yield right of way4 (11.4%)
Followed too closely3 (8.6%)
Distracted2 (5.7%)
Other improper action2 (5.7%)
Inattention2 (5.7%)
Glare1 (2.9%)
Driving too fast for conditions1 (2.9%)
Failure to keep in proper lane or running off road1 (2.9%)
Disregarded traffic signs, signals, road markings1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather conditions increased from 16 in January 2021 to 28 in January 2022. Crashes on 'Dry' road surfaces also saw an increase from 21 to 23 incidents year-over-year. Furthermore, crashes under 'Daylight' conditions increased from 15 to 22 incidents.

Weather

Clear28 (82.4%)
75.0%prior 16
Snow2 (5.9%)
Cloudy1 (2.9%)
Rain1 (2.9%)
Cloudy/Rain1 (2.9%)
Clear/Rain1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · Weather condition at time of crash

Lighting

Daylight22 (62.9%)
46.7%prior 15
Dark - lighted roadway7 (20.0%)
16.7%prior 6
Dark - roadway not lighted4 (11.4%)
Dawn1 (2.9%)
Dusk1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · Lighting condition field

Road Surface

Dry23 (67.6%)
9.5%prior 21
Wet4 (11.8%)
Ice3 (8.8%)
Snow3 (8.8%)
Slush1 (2.9%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (59 vehicles)

1
HONDA8 (13.6%)
2
TOYOTA8 (13.6%)
60.0%prior 5
3
FORD8 (13.6%)
33.3%prior 6
4
JEEP5 (8.5%)
5
NISSAN4 (6.8%)
6
GMC3 (5.1%)
7
MERCEDES-BENZ3 (5.1%)
8
CHEVROLET3 (5.1%)
9
SUBARU2 (3.4%)
10
LEXUS2 (3.4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · Vehicle unit records

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

Sex Distribution (67 persons with recorded sex)

Male38 (56.7%)
0.0%prior 38
Female29 (43.3%)
61.1%prior 18

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · Person-level records linked to crash events

Speed Limit Zones

No fatalities were recorded in any speed zone for either period. Crashes in the 30 mph zone increased from 9 in January 2021 to 13 in January 2022. Similarly, crashes in the 35 mph zone rose from 7 to 9 incidents, and those in the 40 mph zone increased from 1 to 3 incidents. The 20 mph and 33 mph zones, each with 1 crash in January 2021, did not report any crashes in January 2022.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2022-01-01 to 2022-01-31 · 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: 2022-01-01 through 2022-01-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2022-01-01 through 2022-01-31 (31 days)
  • Geographic scope: WALPOLE, MA
  • Total crash records analyzed: 35
  • Total persons involved: 69
  • Total vehicles involved: 59

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). "WALPOLE, MA Crash Intelligence Report: January 2022." Published June 21, 2026. Reporting period: 2022-01-01 to 2022-01-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/walpole/january-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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Walpole, MA Crash Report — January 2022 | ThatCarHitMe.com