ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · NORTH ATTLEBOROUGH, MA · 2024
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.
Yearly Traffic Safety Analysis
537 CRASHES IN
NORTH ATTLEBOROUGH, MA
2024
In North Attleborough, total traffic crashes increased by 7.6%, from 499 incidents in 2023 to 537 in 2024. While total crashes rose, the number of fatalities decreased from 3 to 2. The most significant shift in crash causation was a 42% increase in the count of incidents attributed to 'Followed too closely,' which became the top contributing factor in 2024.
537
▲ 7.6%was 499
Total Crash Events
2
▼ -33.3%was 3
Persons Killed
165
▲ 5.8%was 156
Persons Injured
39
▲ 8.3%was 36
Hit-and-Run Crashes
Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities. 8 crashes with unreported severity are not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends show an increase in volume year-over-year. Total crashes rose by 7.6% from 499 to 537, and the number of persons injured increased by 5.8% from 156 to 165. Conversely, the number of traffic-related fatalities declined from 3 in 2023 to 2 in 2024.
39
Hit-and-Run Crashes — 2024
▲ 8.3% vs prior (36)
Hit-and-run incidents saw a slight increase in both count and rate. The number of hit-and-run crashes rose from 36 in 2023 to 39 in 2024, an 8.3% increase. As a percentage of all crashes, the hit-and-run rate edged up slightly from 7.2% to 7.3%, indicating a relatively stable but slightly worsening trend.
Vulnerable Road User Casualties
1
Pedestrians Killed
1
Cyclists Killed
0
Motorists Killed
3
Pedestrians Injured
1
Cyclists Injured
161
Motorists Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes showed some shifts between the two periods. The peak day for crashes moved from Wednesday (85 crashes) in 2023 to Thursday (94 crashes) in 2024. The peak hour for collisions remained consistent at 5 p.m. in both years, though the number of crashes during this hour increased from 49 to 58.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes shifted year-over-year. The rate of fatal crashes decreased from 0.6% to 0.4% of all incidents. However, the number of crashes resulting in serious injuries increased from 3 to 8, more than doubling their share of total crashes from 0.6% to 1.5%. The total count of injury-involved crashes was identical at 116 for both years, though they represented a smaller proportion of the higher crash total in 2024 (21.6% vs. 23.2%).
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors for crashes changed between 2023 and 2024. 'Followed too closely' became the primary factor in 2024, with its count rising 42.2% from 83 to 118 incidents, supplanting 'No improper driving' which was the top category in 2023. Another notable change was a 112.5% increase in the count of crashes attributed to 'Failure to keep in proper lane,' which grew from 16 to 34 incidents. Conversely, crashes involving 'Inattention' decreased in count by 19.4%, from 67 to 54.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The distribution of crashes across different environmental conditions remained largely consistent year-over-year. The proportion of crashes occurring on dry road surfaces was nearly identical, at 77.0% in 2023 and 76.4% in 2024. Similarly, crashes in adverse road conditions (wet, snow, ice, or slush) accounted for 22.2% of incidents in 2023 and 22.3% in 2024. There was a minor shift in lighting, with the share of crashes in daylight increasing from 67.3% to 70.0%.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Road surface condition field
Vehicles & Demographics
The top three vehicle makes involved in crashes—Toyota, Honda, and Ford—retained their rankings from 2023 to 2024 with modest increases in counts. Analysis of the age of persons involved in crashes shows a notable demographic shift. The 45-54 age group's involvement increased significantly, with their count rising by 34.6% from 130 to 175, and their share of all persons involved growing from 10.9% to 14.0%. In contrast, the 65+ age group's representation decreased from 10.9% to 9.3% of all persons.
Top Vehicle Makes (998 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Vehicle unit records
66 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (1,144 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · Person-level records linked to crash events
Speed Limit Zones
There was a slight shift in crashes toward higher speed zones in 2024. The proportion of crashes in zones of 40 mph or higher increased from 56.2% in 2023 to 58.9% in 2024, driven by a 20.4% rise in crashes within the 65 mph zone (from 98 to 118). Fatal crashes also occurred in different speed environments; in 2023, all 3 fatalities occurred in zones of 40 mph or higher, while in 2024, one of the two fatal crashes occurred in a 30 mph zone.
Fatal crashes by zone: 30 mph: 1 of 147 (0.68%)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-01-01 to 2024-12-31 · 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: 2024-01-01 through 2024-12-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-01-01 through 2024-12-31 (366 days)
- Geographic scope: NORTH ATTLEBOROUGH, MA
- Total crash records analyzed: 537
- Total persons involved: 1,246
- Total vehicles involved: 998
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). "NORTH ATTLEBOROUGH, MA Crash Intelligence Report: 2024." Published June 21, 2026. Reporting period: 2024-01-01 to 2024-12-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/north-attleborough/2024-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: 2024-01-01 – 2024-12-31
Generated: June 21, 2026 · All rights reserved