ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · BATON ROUGE, LA · OCTOBER 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/louisiana/baton-rouge/october-2025-report
Monthly Traffic Safety Analysis
1,552 CRASHES IN
BATON ROUGE, LA
OCTOBER 2025
In October 2025, Baton Rouge recorded 1,552 total vehicle crashes, a 4.5% increase from the 1,485 crashes documented in October 2024. This period also saw a rise in crash severity, with two fatal crashes reported compared to none in the prior year. The most notable year-over-year change was a significant increase in collisions occurring on wet roads, which more than doubled from 57 to 136 incidents.
1,552
▲ 4.5%was 1,485
Total Crash Events
2
Fatal Crashes
1,196
▲ 4.2%was 1,148
Injury Crashes
344
▲ 5.2%was 327
Hit-and-Run Crashes
Note: "Fatal Crashes" and "Injury Crashes" count crash events — this source publishes crash-level counts only, not individual persons.
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-10-01 to 2025-10-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crash trends in Baton Rouge show an increase year-over-year for the month of October. Total collisions rose from 1,485 to 1,552, and the number of injuries increased from 1,148 to 1,196. The most serious change was the emergence of 2 fatalities in October 2025, where none had been recorded in the same month of the previous year.
344
Hit-and-Run Crashes — October 2025
▲ 5.2% vs prior (327)
The number of hit-and-run incidents increased from 327 in October 2024 to 344 in October 2025. The hit-and-run rate also saw a slight upward trend, rising from 22.0% to 22.2% of all crashes year-over-year.
When Crashes Happen
The temporal patterns of crashes shifted year-over-year. The peak day for collisions moved from Thursday (265 crashes) in October 2024 to Friday (289 crashes) in October 2025. Crashes on Fridays saw a substantial increase from 218 to 289 incidents, and Wednesday crashes also rose from 234 to 276. Hourly crash data was not available for comparison in either period.
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-10-01 to 2025-10-31 · Crash date field aggregated by weekday
Crash Severity Breakdown
Crash severity increased in October 2025 compared to the previous year. Two fatal crashes, accounting for 0.1% of the total, were recorded, whereas there were no fatal crashes in October 2024. While the number of injury crashes increased from 1,148 to 1,196, their proportion of total crashes remained stable, slightly decreasing from 77.3% to 77.1% year-over-year.
Outcome by Severity (Crash Events)
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-10-01 to 2025-10-31 · Severity derived from reported fatal/injury indicators (no KABCO A/B/C codes)
Severity Distribution (Crash Events)
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-10-01 to 2025-10-31 · Most severe injury per crash record
Top Contributing Factors
In both periods, 'Violations' was the leading contributing factor, with the count of crashes attributed to it growing from 1,127 to 1,222, an 8.4% increase in count. In contrast, the second-ranked factor, 'Movement prior to crash,' saw its count decrease by 13.8%, from 320 incidents in the prior year to 276 in the current period. The number of crashes linked to 'Vision obstructions' also saw a notable increase, rising from 1 to 9.
Officer-Reported Primary Contributing Cause
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-10-01 to 2025-10-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
There was a marked shift in crashes related to adverse conditions year-over-year. Collisions during rain increased by 77%, from 48 to 85 incidents. Correspondingly, crashes on wet road surfaces more than doubled, increasing from 57 in October 2024 to 136 in October 2025. The majority of crashes in both periods occurred in clear weather and on dry roads.
Weather
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-10-01 to 2025-10-31 · Weather condition at time of crash
Lighting
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-10-01 to 2025-10-31 · Lighting condition field
Road Surface
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-10-01 to 2025-10-31 · Road surface condition field
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Baton Rouge Crash Data, accessed programmatically via the Socrata 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: Socrata 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: 2025-10-01 through 2025-10-31
- Report generated: June 19, 2026
Data Coverage
- Reporting period: 2025-10-01 through 2025-10-31 (31 days)
- Geographic scope: Baton Rouge, LA
- Total crash records analyzed: 1,552
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). "Baton Rouge, LA Crash Intelligence Report: October 2025." Published June 19, 2026. Reporting period: 2025-10-01 to 2025-10-31. Data source: Baton Rouge Crash Data, Socrata Open Data. Available at: https://thatcarhitme.com/crash-data/louisiana/baton-rouge/october-2025-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: Baton Rouge Crash Data · Socrata
Period: 2025-10-01 – 2025-10-31
Generated: June 19, 2026 · All rights reserved