ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · HARWICH, MA · 2025
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/harwich/2025-annual-report
Yearly Traffic Safety Analysis
231 CRASHES IN
HARWICH, MA
2025
In 2025, Harwich recorded 231 total crashes, a 17.8% decrease from the 281 crashes reported in 2024. While overall crashes and injuries declined, the most notable change was the occurrence of one fatal crash in 2025, compared to zero in the prior year. Total injuries also saw a reduction, falling from 93 to 66.
231
▼ -17.8%was 281
Total Crash Events
1
Persons Killed
66
▼ -29.0%was 93
Persons Injured
5
Hit-and-Run Crashes
Note: "Persons Killed" (1) counts individual fatalities across all crash events. "Fatal" in the severity table below (1) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 2 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend in traffic crashes in Harwich shows a year-over-year decline. Total crashes decreased by 17.8%, from 281 in 2024 to 231 in 2025. Similarly, the number of people injured in these incidents fell by 29.0%, from 93 to 66, although one fatality was recorded in 2025 where there were none the previous year.
5
Hit-and-Run Crashes — 2025
▼ 0.0% vs prior (5)
The total number of hit-and-run crashes remained unchanged, with 5 incidents reported in both 2024 and 2025. However, because the total number of crashes decreased in 2025, the hit-and-run rate as a percentage of all crashes increased. The rate rose from 1.8% in the prior year to 2.2% in the current year, indicating that hit-and-runs constituted a larger proportion of total incidents.
Vulnerable Road User Casualties
1
Motorists Killed
66
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between the two periods. The peak day for collisions moved from Wednesday (51 crashes) in 2024 to Friday (40 crashes) in 2025. The peak hour for crashes remained consistent at 4 p.m. in both years, although the volume during that hour decreased from 32 to 27 incidents. Monthly patterns also varied, with the highest crash volume shifting from July in the prior year to August in the current year.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity saw a mixed change year-over-year. While the prior year had no fatal crashes, the current year recorded one, resulting in a fatal crash rate of 0.43%. The proportion of crashes involving serious injuries remained stable (2.8% vs 3.0% share), while minor injury crashes increased in both count (from 38 to 40) and share of total crashes (from 13.5% to 17.3%). Conversely, crashes involving possible injuries saw a sharp decline, falling from 21 incidents to 6.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors for crashes shifted between the two years. 'Failed to yield right of way' remained the top cited factor in both periods, but its count decreased by 42.9%, from 70 crashes in 2024 to 40 in 2025. 'Inattention' saw a similar reduction, dropping from the second-leading factor with 48 crashes to the fourth with 27. In contrast, crashes attributed to 'Followed too closely' increased in count from 33 to 37, a 12.1% change in count, moving it from the fourth to the third most common factor.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
While the majority of crashes in both years occurred in daylight on dry roads, there were some shifts in conditions. The proportion of crashes happening on non-dry road surfaces like wet, snow, or ice increased from 16.0% in 2024 to 19.0% in 2025. Similarly, the share of crashes occurring in dark conditions grew, with incidents in darkness (both lighted and unlighted roadways) rising from 17.4% to 20.0% of all crashes. The percentage of crashes during clear weather decreased from 70.8% to 63.2%.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Road surface condition field
Vehicles & Demographics
The most common vehicle makes involved in crashes remained consistent, with Toyota and Ford ranking first and second in both years, though with slightly fewer vehicles involved in 2025. Honda moved into the third position, displacing Chevrolet from the prior year's top three. An analysis of persons involved in crashes shows a shift in age demographics; the 16-20 age group's share of involvement increased from 9.5% to 12.0%, while the 26-34 age group's share decreased from 14.4% to 12.4%.
Top Vehicle Makes (433 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
25 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (491 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Person-level records linked to crash events
Speed Limit Zones
The distribution of crashes across different speed zones shifted year-over-year. The proportion of crashes occurring in lower-speed zones of 30 mph or less increased from 38.3% to 43.8% of all crashes with a recorded speed limit. Conversely, the share of crashes in higher-speed zones of 40 mph or more decreased from 43.1% to 38.5%. The single fatal crash in 2025 occurred in a 50 mph zone, whereas no fatal crashes were recorded in any speed zone in the prior year.
Fatal crashes by zone: 50 mph: 1 of 37 (2.703%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 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: 2025-01-01 through 2025-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2025-01-01 through 2025-12-31 (365 days)
- Geographic scope: HARWICH, MA
- Total crash records analyzed: 231
- Total persons involved: 524
- Total vehicles involved: 433
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: 2025." Published June 21, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/harwich/2025-annual-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
ThatCarHitMe.com · An Injuria.ai Company
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly
Period: 2025-01-01 – 2025-12-31
Generated: June 21, 2026 · All rights reserved