ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · LITTLETON, 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/littleton/2025-annual-report
Yearly Traffic Safety Analysis
356 CRASHES IN
LITTLETON, MA
2025
In 2025, Littleton recorded 356 total crashes, a 16.0% increase from the 307 crashes in 2024. While total fatalities remained unchanged at 3 for both years, the data shows a significant shift in the timing of collisions. The most notable change was a 167% increase in crashes occurring during the 7 a.m. hour, which rose from 15 to 40 incidents year-over-year.
356
▲ 16.0%was 307
Total Crash Events
3
Persons Killed
74
▼ -2.6%was 76
Persons Injured
19
▲ 58.3%was 12
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. 4 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, traffic crashes in Littleton increased by 16.0% from 2024 to 2025, rising from 307 to 356 incidents. Despite the rise in total collisions, the number of resulting injuries saw a slight decrease from 76 to 74. Fatalities remained constant at 3 for both years, indicating that while crash frequency rose, the overall severity did not escalate at the same rate.
19
Hit-and-Run Crashes — 2025
▲ 58.3% vs prior (12)
Hit-and-run incidents increased significantly in both count and rate year-over-year. The number of hit-and-run crashes rose by 58.3%, from 12 in 2024 to 19 in 2025. Consequently, the hit-and-run rate, representing the proportion of all crashes that were hit-and-runs, trended upward from 3.9% to 5.3%.
Vulnerable Road User Casualties
1
Pedestrians Killed
2
Motorists Killed
0
Pedestrians Injured
74
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 crashes moved from Thursday in 2024 (56 crashes) to Friday in 2025 (68 crashes). More significantly, the peak hour for collisions shifted from 3 p.m. in the prior year (29 crashes) to the 7 a.m. morning commute in the current year. This hour saw a substantial increase from 15 to 40 crashes.
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
While the number of fatal crashes remained constant at 3 for both 2024 and 2025, the fatal crash rate per 100 crashes decreased from 0.98 to 0.84 due to a higher total number of incidents in the current year. The proportion of crashes resulting in any injury remained stable at approximately 18% for both periods. However, the composition of injuries shifted, with serious injury crashes decreasing from 7 to 2, while minor and possible injury crashes increased from a combined 45 incidents in 2024 to 59 in 2025.
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 top three contributing factors remained consistent year-over-year: "No improper driving," "Inattention," and "Followed too closely." However, the number of crashes attributed to "Driving too fast for conditions" more than doubled, increasing by 125% from 8 to 18 incidents. Conversely, crashes involving "Failed to yield right of way" were cut in half, decreasing from 14 to 7. The count of crashes where "No improper driving" was cited also rose significantly, from 85 to 110, a 29.4% increase.
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
Crashes occurring in adverse conditions saw a notable increase in 2025 compared to 2024. Collisions on roads with snow or ice rose from a combined 12 incidents to 35. Similarly, crashes in dark, unlighted conditions increased from 28 to 51. While the majority of crashes in both years occurred during daylight on dry roads, their proportional share of all crashes decreased in 2025 as the share of incidents in more challenging conditions grew.
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 top three vehicle makes involved in crashes remained Toyota, Honda, and Ford in both years, with only minor fluctuations in their counts. An analysis of the persons involved in crashes shows a notable increase in the 21-25 age group, whose count grew from 68 individuals in 2024 to 93 in 2025. This represents a shift in this group's share of all persons involved from 10.5% to 12.7%.
Top Vehicle Makes (645 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2025-01-01 to 2025-12-31 · Vehicle unit records
51 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (665 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
Crashes increased across most speed zones from 2024 to 2025, with a notable rise in zones posted at 25 mph (from 41 to 64 crashes) and 45 mph (from 37 to 51 crashes). The location of fatal crashes also shifted; whereas two of the three fatal crashes in 2024 occurred in 35 mph zones, the three fatal crashes in 2025 were each in different zones: 25 mph, 55 mph, and 65 mph.
Fatal crashes by zone: 25 mph: 1 of 64 (1.563%) · 55 mph: 1 of 45 (2.222%) · 65 mph: 1 of 84 (1.19%)
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: LITTLETON, MA
- Total crash records analyzed: 356
- Total persons involved: 732
- Total vehicles involved: 645
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). "LITTLETON, 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/littleton/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