Monthly Traffic Safety Analysis

11 CRASHES IN
HARWICH, MA
MARCH 2026

All metrics benchmarked againstMarch 2025

In March 2026, HARWICH experienced 11 crashes, marking an 8.3% decrease from the 12 crashes recorded in March 2025. Total injuries also saw a decrease, falling from 5 to 4. A notable shift was observed in the manner of collision, with Rear-end crashes increasing significantly from 1 in the prior period to 6 in the current period.

11

-8.3%was 12

Total Crash Events

0

Persons Killed

4

-20.0%was 5

Persons Injured

2

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 · 2026-03-01 to 2026-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, crash activity in HARWICH showed a slight decline year-over-year, with total crashes decreasing by 8.3% from 12 in March 2025 to 11 in March 2026. Similarly, the total number of injuries fell by 20%, from 5 to 4 over the same period, indicating a downward trend in both crash frequency and injury severity.

2

Hit-and-Run Crashes — March 2026

18.2% hit-and-run rate this period vs 0.0% prior. Prior period: 0.

Vulnerable Road User Casualties

0

Motorists Killed

Prior: 00.0%

4

Motorists Injured

Prior: 5-20.0%

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · 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 Monday in March 2025 (3 crashes) to Tuesday in March 2026 (3 crashes), although the crash count on the peak day remained the same. The peak hour remained consistent at 4 p.m. in both periods, with crashes at this hour increasing from 3 in March 2025 to 4 in March 2026.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Crash date field aggregated by weekday

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Fatalities remained at 0 in both March 2025 and March 2026. The number of serious injuries (severity code A) decreased from 1 in the prior period to 0 in the current period. Minor injuries (severity code B) increased from 1 to 2, while possible injuries (severity code C) remained stable at 1.

Outcome by Severity (Crash Events)

Minor Injury2minor injury crashes18.2%
100.0%prior 1
Possible Injury1possible injury crashes9.1%
No Injury8no injury crashes72.7%
-20.0%prior 10

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Most severe injury per crash record

Top Contributing Factors

The contributing factor 'Followed too closely' emerged as a significant factor in March 2026, accounting for 3 crashes, up from 0 in March 2025. 'Failed to yield right of way' crashes decreased from 3 to 2, while 'No improper driving' and 'Inattention' factors remained stable at 3 and 2 crashes respectively. 'Driving too fast for conditions' crashes decreased from 1 to 0.

Officer-Reported Primary Contributing Cause

Followed too closely3 (27.3%)
No improper driving3 (27.3%)
Failed to yield right of way2 (18.2%)
Inattention2 (18.2%)
Other improper action1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Clear weather conditions were associated with more crashes in March 2026, increasing from 5 crashes to 8 crashes year-over-year, while cloudy conditions decreased from 6 crashes to 1 crash. Crashes occurring in daylight decreased from 11 to 9, while those in 'Dark - roadway not lighted' conditions increased from 1 to 2. Dry road surface crashes increased from 6 to 9, and wet surface crashes decreased from 4 to 2, with the absence of crashes on snow or sand/mud/dirt/oil/gravel in the current period.

Weather

Clear6 (54.5%)
20.0%prior 5
Clear/Clear2 (18.2%)
Cloudy1 (9.1%)
-80.0%prior 5
Rain/Cloudy1 (9.1%)
Rain/Rain1 (9.1%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Weather condition at time of crash

Lighting

Daylight9 (81.8%)
-18.2%prior 11
Dark - roadway not lighted2 (18.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Lighting condition field

Road Surface

Dry9 (81.8%)
50.0%prior 6
Wet2 (18.2%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Road surface condition field

Vehicles & Demographics

Top Vehicle Makes (21 vehicles)

1
HONDA4 (19%)
2
CHEVROLET3 (14.3%)
3
BMW2 (9.5%)
4
GMC2 (9.5%)
5
TOYOTA2 (9.5%)
6
KIA1 (4.8%)
7
MICB1 (4.8%)
8
NISSAN1 (4.8%)
9
THMS1 (4.8%)
10
DODGE1 (4.8%)

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Vehicle unit records

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

Sex Distribution (21 persons with recorded sex)

Female11 (52.4%)
22.2%prior 9
Male10 (47.6%)
-23.1%prior 13

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · Person-level records linked to crash events

Speed Limit Zones

Crashes in the 30 mph zone decreased from 3 in March 2025 to 2 in March 2026, and crashes in the 40 mph zone decreased from 4 to 2. Conversely, crashes in the 50 mph zone increased from 2 to 4 year-over-year. The prior period included 1 crash in a 10 mph zone and 1 in a 45 mph zone, which were not present in the current period, while 1 crash occurred in a 55 mph zone in the current period, which was not present in the prior period.

Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2026-03-01 to 2026-03-31 · 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: 2026-03-01 through 2026-03-31
  • Report generated: June 21, 2026

Data Coverage

  • Reporting period: 2026-03-01 through 2026-03-31 (31 days)
  • Geographic scope: HARWICH, MA
  • Total crash records analyzed: 11
  • Total persons involved: 25
  • Total vehicles involved: 21

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: March 2026." Published June 21, 2026. Reporting period: 2026-03-01 to 2026-03-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/harwich/march-2026-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 — March 2026 | ThatCarHitMe.com