ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · BATON ROUGE, LA · AUGUST 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/august-2025-report
Monthly Traffic Safety Analysis
1,345 CRASHES IN
BATON ROUGE, LA
AUGUST 2025
In August 2025, Baton Rouge recorded 1,345 motor vehicle crashes, a slight increase from the 1,342 crashes reported in August 2024. This represents a 0.22% year-over-year rise in total collisions. The most significant change observed was in crash fatalities, which doubled from 3 in the prior period to 6 in the current period.
1,345
▲ 0.2%was 1,342
Total Crash Events
6
▲ 100.0%was 3
Fatal Crashes
1,045
Injury Crashes
338
▲ 10.5%was 306
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 · 2025-08-01 to 2025-08-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year crash data for August indicates a stable trend in total collision volume, with 1,345 incidents in 2025 compared to 1,342 in 2024, an increase of just 0.22%. While the number of total injuries was unchanged at 1,045, the number of fatalities doubled from 3 to 6. This suggests that while overall crash frequency was flat, the severity of crashes increased.
338
Hit-and-Run Crashes — August 2025
▲ 10.5% vs prior (306)
Hit-and-run incidents increased in both count and as a proportion of total crashes. The number of hit-and-run crashes rose from 306 in August 2024 to 338 in August 2025, a 10.5% increase. This pushed the hit-and-run rate up from 22.8% to 25.1% of all crashes, indicating that roughly one in four collisions during the month involved a driver leaving the scene.
When Crashes Happen
The temporal pattern of crashes showed a shift in the peak day of the week between the two periods. In August 2024, Thursday was the most common day for crashes with 250 incidents, whereas in August 2025, Friday became the peak day with 256 crashes. Wednesday crashes also saw an increase from 186 to 210 year-over-year, while collisions on Thursdays decreased from 250 to 194.
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-08-01 to 2025-08-31 · Crash date field aggregated by weekday
Crash Severity Breakdown
The number of fatal crashes doubled from 3 in August 2024 to 6 in August 2025, causing the share of fatal crashes to increase from 0.2% to 0.4% of all collisions. Despite this increase in fatalities, the number of injury-related crashes remained unchanged at 1,045 incidents in both periods. Consequently, the proportion of crashes resulting in an injury was nearly identical, at 77.9% in the prior year and 77.7% in the current year.
Outcome by Severity (Crash Events)
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-08-01 to 2025-08-31 · 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 · 2025-08-01 to 2025-08-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors to crashes remained consistent year-over-year, with 'Violations' being the most cited factor in both periods. The count of crashes attributed to 'Violations' increased from 1,026 in August 2024 to 1,044 in August 2025. Conversely, crashes where 'Movement prior to crash' was a factor decreased from 266 to 255. The number of crashes related to 'Driver condition' held steady at 24 incidents in both months.
Officer-Reported Primary Contributing Cause
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-08-01 to 2025-08-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring during adverse weather conditions saw a notable increase year-over-year. Collisions in the rain more than doubled, rising from 43 in August 2024 to 92 in August 2025. Similarly, crashes on wet road surfaces increased from 75 to 143. Despite these increases, clear weather and dry road surfaces remained the predominant conditions for crashes in both periods, accounting for 1,137 and 1,192 crashes respectively in August 2025.
Weather
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-08-01 to 2025-08-31 · Weather condition at time of crash
Lighting
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-08-01 to 2025-08-31 · Lighting condition field
Road Surface
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-08-01 to 2025-08-31 · 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: 2025-08-01 through 2025-08-31
- Report generated: June 19, 2026
Data Coverage
- Reporting period: 2025-08-01 through 2025-08-31 (31 days)
- Geographic scope: Baton Rouge, LA
- Total crash records analyzed: 1,345
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: August 2025." Published June 19, 2026. Reporting period: 2025-08-01 to 2025-08-31. Data source: Baton Rouge Crash Data, Socrata Open Data. Available at: https://thatcarhitme.com/crash-data/louisiana/baton-rouge/august-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: 2025-08-01 – 2025-08-31
Generated: June 19, 2026 · All rights reserved