ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · PITTSFIELD, 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/pittsfield/2025-annual-report
Yearly Traffic Safety Analysis
988 CRASHES IN
PITTSFIELD, MA
2025
In 2025, Pittsfield recorded 988 total traffic crashes, an increase of 6.9% from the 924 crashes reported in 2024. While the number of fatalities remained unchanged at 3 for both years, the total number of injuries decreased from 273 to 244. The most significant year-over-year change was a 75% increase in crashes involving speeding, which rose from 20 in 2024 to 35 in 2025.
988
▲ 6.9%was 924
Total Crash Events
3
Persons Killed
244
▼ -10.6%was 273
Persons Injured
65
▲ 14.0%was 57
Hit-and-Run Crashes
Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 50 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
Overall, the total number of crashes in Pittsfield increased by 6.9% from 924 in 2024 to 988 in 2025. Despite the rise in total incidents, the number of resulting injuries saw a decrease of 10.6%, falling from 273 to 244. The number of fatalities held steady at 3 in both periods.
65
Hit-and-Run Crashes — 2025
▲ 14.0% vs prior (57)
The number of hit-and-run incidents increased in 2025 compared to the prior year. There were 65 hit-and-run crashes recorded in 2025, a 14.0% rise from the 57 incidents in 2024. This represents an upward trend in the hit-and-run rate, which grew from 6.2% of all crashes in 2024 to 6.6% in 2025.
Vulnerable Road User Casualties
2
Pedestrians Killed
0
Cyclists Killed
1
Motorists Killed
0
Other Killed
12
Pedestrians Injured
20
Cyclists Injured
211
Motorists Injured
1
Other 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 remained largely consistent year-over-year, with Tuesday being the peak day for collisions in both 2025 (172 crashes) and 2024 (165 crashes). However, the peak hour for crashes shifted slightly later, from the 3 p.m. hour in 2024 (75 crashes) to the 4 p.m. hour in 2025 (90 crashes). The afternoon commute period continues to see the highest concentration of traffic incidents.
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
The distribution of crash severity shifted slightly towards less severe outcomes in 2025 compared to 2024. While the number of fatal crashes remained constant at 3, the proportion of crashes resulting in no injuries increased from 71.6% to 74.6% of all incidents. Correspondingly, the share of crashes involving possible injuries decreased from 6.6% to 5.0%, and serious injury crashes fell from 1.8% to 1.6% of the total.
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 in Pittsfield remained consistent, with 'Inattention' and 'Failed to yield right of way' being the top two cited driver actions after 'No improper driving' in both 2025 and 2024. The number of crashes attributed to 'Inattention' increased by 19.7%, from 147 to 176 incidents. Notably, crashes where 'Driving too fast for conditions' was a factor more than doubled, rising from 10 in 2024 to 23 in 2025, a 130% increase in count.
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
Crash conditions in 2025 were very similar to those in 2024, with the majority of incidents occurring in favorable environments. In 2025, 70.8% of crashes happened during daylight, compared to 71.2% in the prior year. Crashes on dry roads accounted for 78.5% of the total in 2025, a slight decrease from a 79.6% share in 2024, while incidents in clear weather made up 71.4% of crashes, down from 73.4%.
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 makes of vehicles involved in crashes showed high consistency, with Toyota, Ford, and Honda remaining among the top three most common makes in both 2025 and 2024. Regarding the demographics of persons involved, there was a notable shift in the age distribution. The 65+ age group saw its count increase from 275 to 321, becoming the largest represented age cohort in 2025, while involvement of the 16-20 age group also grew from 159 to 206 persons.
Top Vehicle Makes (1,835 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
232 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,835 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 speed zones remained concentrated in the 25 to 35 mph range for both periods. In 2025, the number of crashes in 30 mph zones decreased to 325 from 342 the previous year, while crashes in 25 mph zones increased from 187 to 204. There was a notable concentration of fatal crashes in 2025, with two occurring in the 35 mph zone, whereas in 2024, the three fatal crashes with recorded speed limits were spread across the 25, 30, and 40 mph zones.
Fatal crashes by zone: 35 mph: 2 of 214 (0.935%)
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: PITTSFIELD, MA
- Total crash records analyzed: 988
- Total persons involved: 2,080
- Total vehicles involved: 1,835
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). "PITTSFIELD, 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/pittsfield/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