Monthly Traffic Safety Analysis

25 CRASHES IN
HARWICH, MA
DECEMBER 2025

All metrics benchmarked againstDecember 2024

In December 2025, HARWICH experienced 25 total crashes, an 8.7% increase from the 23 crashes reported in December 2024. Despite the rise in total crashes, overall injuries decreased by 41.7%, from 12 in the prior year to 7 in the current period. A notable shift was the emergence of 3 hit-and-run crashes in December 2025, compared to none in December 2024.

25

8.7%was 23

Total Crash Events

0

Persons Killed

7

-41.7%was 12

Persons Injured

3

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 · 2025-12-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend indicates a slight increase in crash frequency, with total crashes rising from 23 in December 2024 to 25 in December 2025. This represents an 8.7% increase in crashes year-over-year. Despite this, total injuries saw a significant decrease.

3

Hit-and-Run Crashes — December 2025

12.0% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

7

Motorists Injured

Prior: 11-36.4%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · 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 Saturday, with 5 crashes in December 2024, to Sunday, with 6 crashes in December 2025. Similarly, the peak hour for crashes moved from 4 PM (3 crashes) in the prior year to 6 PM (5 crashes) in the current period. Crashes on Saturdays significantly decreased from 5 to 1, while Sunday crashes increased from 2 to 6.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

There were no fatal crashes or fatalities recorded in either December 2024 or December 2025. Total injuries decreased from 12 in December 2024 to 7 in December 2025, representing a 41.7% reduction. Serious injury crashes (code 'A') were reported for the first time in the current period with 1 crash, while minor injury crashes (code 'B') decreased from 7 (30.4% share) to 3 (12% share).

Outcome by Severity (Crash Events)

Serious Injury1serious injury crashes4%
Minor Injury3minor injury crashes12%
-57.1%prior 7
Possible Injury1possible injury crashes4%
-50.0%prior 2
No Injury20no injury crashes80%
42.9%prior 14

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Most severe injury per crash record

Top Contributing Factors

The top contributing factor shifted from 'Failed to yield right of way' (8 crashes, 34.8% share) in December 2024 to 'Followed too closely' (6 crashes, 24% share) and 'No improper driving' (6 crashes, 24% share) in December 2025. Crashes attributed to 'Followed too closely' increased from 1 to 6, while 'Failed to yield right of way' crashes decreased from 8 to 3. 'Inattention' crashes also decreased from 4 to 2.

Officer-Reported Primary Contributing Cause

Followed too closely6 (24%)
No improper driving6 (24%)
Failed to yield right of way3 (12%)-62.5%prior 8
Inattention2 (8%)
Driving too fast for conditions2 (8%)
Failure to keep in proper lane or running off road1 (4%)
Operating vehicle in erratic, reckless, careless, negligent or aggressive manner1 (4%)
Glare1 (4%)
Other improper action1 (4%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crashes occurring in 'Clear' weather increased from 12 to 16, while those in 'Cloudy' conditions decreased from 5 to 1. Crashes on 'Snow' road surfaces increased from 2 to 5, and the number of crashes occurring in 'Dark - roadway not lighted' conditions rose from 5 to 9. Conversely, crashes during 'Daylight' hours decreased from 14 to 9.

Weather

Clear16 (64.0%)
33.3%prior 12
Snow3 (12.0%)
Clear/Clear2 (8.0%)
Snow/Snow1 (4.0%)
Cloudy1 (4.0%)
-80.0%prior 5
Clear/Snow1 (4.0%)
Snow/Blowing sand, snow1 (4.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Dark - roadway not lighted9 (36.0%)
80.0%prior 5
Daylight9 (36.0%)
-35.7%prior 14
Dark - lighted roadway5 (20.0%)
Dark - unknown roadway lighting1 (4.0%)
Dusk1 (4.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry14 (56.0%)
0.0%prior 14
Wet6 (24.0%)
20.0%prior 5
Snow5 (20.0%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (45 vehicles)

1
TOYOTA9 (20%)
-10.0%prior 10
2
HONDA8 (17.8%)
3
FORD7 (15.6%)
4
KIA3 (6.7%)
5
SUBARU3 (6.7%)
6
JEEP3 (6.7%)
7
RAM1 (2.2%)
8
CHEVROLET1 (2.2%)
-80.0%prior 5
9
VOLKSWAGEN1 (2.2%)
10
DODGE1 (2.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Vehicle unit records

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

Sex Distribution (48 persons with recorded sex)

Male29 (60.4%)
3.6%prior 28
Female19 (39.6%)
-5.0%prior 20

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · Person-level records linked to crash events

Speed Limit Zones

The distribution of crashes across speed zones saw some shifts, with crashes in the 30 mph zone decreasing from 8 to 7, and the 35 mph zone decreasing from 5 to 3. Crashes in the 40 mph and 50 mph zones each increased from 3 to 4. Additionally, crashes were recorded in the 25 mph (1 crash) and 45 mph (2 crashes) zones in December 2025, which were not present in December 2024. No fatal crashes occurred in any speed zone during either period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-12-01 to 2025-12-31 · 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: 2025-12-01 through 2025-12-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2025-12-01 through 2025-12-31 (31 days)
  • Geographic scope: HARWICH, MA
  • Total crash records analyzed: 25
  • Total persons involved: 55
  • Total vehicles involved: 45

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). "HARWICH, MA Crash Intelligence Report: December 2025." Published June 21, 2026. Reporting period: 2025-12-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/harwich/december-2025-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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Harwich, MA Crash Report — December 2025 | ThatCarHitMe.com