ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · BATON ROUGE, LA · JULY 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/july-2025-report
Monthly Traffic Safety Analysis
1,117 CRASHES IN
BATON ROUGE, LA
JULY 2025
In July 2025, Baton Rouge recorded 1,117 vehicle crashes, a slight decrease from the 1,128 crashes documented in July 2024. This represents a 1.0% year-over-year reduction in total collisions. The most significant change was a 50% decrease in traffic fatalities, which fell from 4 in the prior period to 2 in the current period.
1,117
▼ -1.0%was 1,128
Total Crash Events
2
▼ -50.0%was 4
Fatal Crashes
842
▼ -7.6%was 911
Injury Crashes
242
▼ -2.4%was 248
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 · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, key traffic safety metrics in Baton Rouge showed a slight improvement in July 2025 compared to the same month last year. Total crashes decreased by 1.0% from 1,128 to 1,117. Similarly, the number of people injured in crashes fell by 7.6% from 911 to 842, and fatalities were reduced by half, from 4 to 2.
242
Hit-and-Run Crashes — July 2025
▼ -2.4% vs prior (248)
The number of hit-and-run incidents showed a slight year-over-year decrease. In July 2025, there were 242 hit-and-run crashes, down from 248 in July 2024. The hit-and-run rate, which measures the proportion of all crashes that are hit-and-runs, also trended down marginally, from 22.0% to 21.7%.
When Crashes Happen
The temporal pattern of crashes shifted between the two periods. In July 2025, the peak day for crashes was Thursday, with 218 incidents, an increase from 143 on Thursdays in the prior year. This contrasts with July 2024, when Tuesday was the peak day with 208 crashes. Weekend crashes (Saturday and Sunday combined) saw a slight decrease from 224 in the prior year to 213 in the current year.
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday
Crash Severity Breakdown
Crash severity decreased in July 2025 compared to the prior year. The number of fatal crashes was cut in half, from 4 to 2. The proportion of crashes resulting in an injury also declined, from 80.8% (911 incidents) in July 2024 to 75.4% (842 incidents) in July 2025. Conversely, crashes with no reported injuries increased their share of all incidents from 18.9% to 24.4%.
Outcome by Severity (Crash Events)
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-07-01 to 2025-07-31 · 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 · 2025-07-01 to 2025-07-31 · Most severe injury per crash record
Top Contributing Factors
The leading contributing factors remained consistent year-over-year, with 'Violations' being the most cited cause in both periods. The count of crashes attributed to violations increased by 4.5%, from 837 in July 2024 to 875 in July 2025. In contrast, crashes linked to 'Movement prior to crash' decreased in count by 12.9% (from 240 to 209), and those related to 'Driver condition' fell by 8.3% (from 24 to 22).
Officer-Reported Primary Contributing Cause
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-07-01 to 2025-07-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes occurring in adverse conditions saw a notable decrease in July 2025 compared to the previous year. The number of incidents on wet road surfaces fell from 218 to 160, and crashes during rain dropped from 132 to 92. Consequently, the share of crashes on dry roads increased from 78.5% to 84.5% of all crashes. Crashes in daylight conditions remained the majority in both periods, accounting for 82.5% of incidents in July 2025, up from 80.6% in July 2024.
Weather
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-07-01 to 2025-07-31 · Weather condition at time of crash
Lighting
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-07-01 to 2025-07-31 · Lighting condition field
Road Surface
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
- Report generated: June 19, 2026
Data Coverage
- Reporting period: 2025-07-01 through 2025-07-31 (31 days)
- Geographic scope: Baton Rouge, LA
- Total crash records analyzed: 1,117
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: July 2025." Published June 19, 2026. Reporting period: 2025-07-01 to 2025-07-31. Data source: Baton Rouge Crash Data, Socrata Open Data. Available at: https://thatcarhitme.com/crash-data/louisiana/baton-rouge/july-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: 2025-07-01 – 2025-07-31
Generated: June 19, 2026 · All rights reserved