ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · NATICK, MA · AUGUST 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.
GET: https://thatcarhitme.com/api/crash-data/reports/data/massachusetts/natick/august-2024-report
Monthly Traffic Safety Analysis
67 CRASHES IN
NATICK, MA
AUGUST 2024
In August 2024, Natick experienced 67 total crashes, a slight decrease of 1.5% compared to the 68 crashes recorded in August 2023. While total injuries decreased by 18.8% from 16 to 13, the most notable shift was a 200% increase in hit-and-run crashes, rising from 2 to 6 incidents year-over-year. Fatalities remained at zero in both periods, indicating no change in the most severe crash outcomes.
67
▼ -1.5%was 68
Total Crash Events
0
Persons Killed
13
▼ -18.8%was 16
Persons Injured
6
▲ 200.0%was 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. 1 crash with unreported severity is not shown in the severity breakdown.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend indicates a slight decrease in total crashes, falling from 68 in August 2023 to 67 in August 2024, a 1.5% reduction. Total injuries also saw a downward trend, decreasing by 18.8% from 16 to 13. However, hit-and-run crashes showed a significant upward trend, tripling in number.
6
Hit-and-Run Crashes — August 2024
▲ 200.0% vs prior (2)
Hit-and-run crashes significantly increased from 2 in August 2023 to 6 in August 2024, representing a 200% rise. The hit-and-run crash rate also increased from 2.9% of all crashes in August 2023 to 9% in August 2024. This indicates an upward trend in hit-and-run incidents year-over-year, despite a slight decrease in overall crash numbers.
Vulnerable Road User Casualties
0
Cyclists Killed
0
Motorists Killed
0
Other Killed
1
Cyclists Injured
11
Motorists Injured
1
Other Injured
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · 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 Thursday in August 2023 (13 crashes) to Tuesday in August 2024 (13 crashes), with the same number of incidents on the peak day. The peak crash hour shifted from 5 PM in August 2023, which saw 11 crashes, to 4 PM in August 2024, with 7 crashes. This indicates a shift in the busiest times for crash occurrences, although the total number of crashes on the peak day remained consistent.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash date field aggregated by weekday
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
There were no fatal crashes or fatalities reported in either August 2023 or August 2024. The total number of injuries decreased from 16 in August 2023 to 13 in August 2024, an 18.8% reduction. The proportion of serious injury crashes remained stable at 1.5% in both periods, while minor injury crashes slightly increased from 10.3% to 11.9% and possible injury crashes decreased from 8.8% to 6%.
Outcome by Severity (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factor, "Inattention," saw a slight increase from 24 crashes in August 2023 to 25 crashes in August 2024, a 4.2% rise. Crashes attributed to "No improper driving" decreased from 13 to 11, a 15.4% reduction, while "Followed too closely" also decreased from 10 to 9 crashes, a 10% reduction. Notably, crashes due to "Failed to yield right of way" increased significantly from 2 in August 2023 to 7 in August 2024, a 250% increase.
Officer-Reported Primary Contributing Cause
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The number of crashes occurring in clear weather conditions increased from 53 in August 2023 to 59 in August 2024, an 11.3% rise, while cloudy weather crashes decreased by 55.6% from 9 to 4. Crashes on dry road surfaces slightly increased from 60 to 62, a 3.3% change, while wet road crashes decreased from 8 to 5, a 37.5% reduction. Crashes during daylight hours increased from 51 to 58, a 13.7% increase, whereas crashes in dark-lighted roadway conditions decreased from 10 to 7, a 30% reduction.
Weather
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Weather condition at time of crash
Lighting
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Lighting condition field
Road Surface
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Road surface condition field
Vehicles & Demographics
Vehicle make rankings shifted slightly, with Toyota being involved in 20 crashes in August 2024 compared to Honda's 24 in August 2023. Honda's involvement decreased from 24 to 16 vehicles, a 33.3% reduction, and Ford's decreased from 16 to 14 vehicles, a 12.5% reduction. The total number of persons involved in crashes increased from 161 in August 2023 to 168 in August 2024, a 4.3% increase.
Top Vehicle Makes (126 vehicles)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Vehicle unit records
6 persons with unknown or unrecorded age excluded from age chart.
Sex Distribution (162 persons with recorded sex)
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · Person-level records linked to crash events
Speed Limit Zones
Crashes in 25 mph zones increased from 5 in August 2023 to 7 in August 2024, a 40% increase, and crashes in 30 mph zones saw a 50% increase, rising from 16 to 24. Conversely, crashes in 50 mph zones decreased from 10 to 7, a 30% reduction, and crashes in 65 mph zones dropped from 5 to 1, an 80% decrease. No fatal crashes were recorded in any speed zone during either period.
Source: Massachusetts Crash Data (MassDOT CDV) · Arcgis_yearly Open Data · 2024-08-01 to 2024-08-31 · 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: 2024-08-01 through 2024-08-31
- Report generated: June 21, 2026
Data Coverage
- Reporting period: 2024-08-01 through 2024-08-31 (31 days)
- Geographic scope: NATICK, MA
- Total crash records analyzed: 67
- Total persons involved: 168
- Total vehicles involved: 126
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). "NATICK, MA Crash Intelligence Report: August 2024." Published June 21, 2026. Reporting period: 2024-08-01 to 2024-08-31. Data source: Massachusetts Crash Data (MassDOT CDV), Arcgis_yearly Open Data. Available at: https://thatcarhitme.com/crash-data/massachusetts/natick/august-2024-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: 2024-08-01 – 2024-08-31
Generated: June 21, 2026 · All rights reserved