ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · BATON ROUGE, LA · JUNE 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/june-2025-report
Monthly Traffic Safety Analysis
1,080 CRASHES IN
BATON ROUGE, LA
JUNE 2025
In June 2025, Baton Rouge recorded 1,080 vehicle crashes, a 1.4% increase from the 1,065 crashes reported in June 2024. While the total number of crashes saw a slight rise, the number of fatalities decreased significantly, falling from 4 in the prior year period to 1 in the current period. The most notable shift in contributing factors was an 11.4% increase in the count of crashes attributed to violations.
1,080
▲ 1.4%was 1,065
Total Crash Events
1
▼ -75.0%was 4
Fatal Crashes
841
▲ 2.7%was 819
Injury Crashes
229
▲ 6.0%was 216
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 · 2025-06-01 to 2025-06-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash volume in Baton Rouge showed a slight increase year-over-year, with total collisions rising by 1.4% from 1,065 in June 2024 to 1,080 in June 2025. The number of injuries also increased by 2.7%, from 819 to 841. However, fatalities saw a notable decrease from 4 to 1 over the same period.
229
Hit-and-Run Crashes — June 2025
▲ 6.0% vs prior (216)
The number of hit-and-run incidents increased from 216 in June 2024 to 229 in June 2025. This corresponds to a rise in the hit-and-run rate, which climbed from 20.3% to 21.2% of all crashes. The data indicates an upward trend in both the absolute count and the proportion of hit-and-run crashes year-over-year.
When Crashes Happen
The temporal pattern of crashes shifted between the two periods. In June 2025, Monday was the peak day for crashes with 191 incidents, a change from June 2024 when Thursday was the most frequent day for crashes with 178 incidents. Friday saw an identical number of crashes in both periods, with 153 incidents.
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-06-01 to 2025-06-30 · Crash date field aggregated by weekday
Crash Severity Breakdown
Crash severity improved year-over-year, with the fatal crash rate decreasing from 0.38% in June 2024 to 0.09% in June 2025, corresponding to a drop in fatal crashes from 4 to 1. The proportion of crashes resulting in an injury saw a slight increase, rising from 76.9% to 77.9% of all incidents. Consequently, the share of crashes with no injuries decreased slightly from 22.7% to 22.0%.
Outcome by Severity (Crash Events)
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-06-01 to 2025-06-30 · 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 · 2025-06-01 to 2025-06-30 · Most severe injury per crash record
Top Contributing Factors
Violations remained the top contributing factor in both periods, with the count of crashes attributed to this factor increasing by 11.4% from 787 in June 2024 to 877 in June 2025. 'Movement prior to crash' was the second-leading factor in both years, but its count decreased by 33.2%, from 235 incidents to 157. Crashes related to 'Driver condition' remained relatively stable, with 19 in the prior period and 20 in the current period.
Officer-Reported Primary Contributing Cause
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-06-01 to 2025-06-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in clear weather and on dry roads remained the most common scenario in both periods. The number of crashes occurring during rain increased from 49 in June 2024 to 59 in June 2025, and crashes on wet road surfaces saw an increase from 86 to 96 incidents. Conversely, the number of crashes happening in non-daylight conditions decreased from 205 to 180 year-over-year.
Weather
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-06-01 to 2025-06-30 · Weather condition at time of crash
Lighting
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-06-01 to 2025-06-30 · Lighting condition field
Road Surface
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-06-01 to 2025-06-30 · 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: 2025-06-01 through 2025-06-30
- Report generated: June 19, 2026
Data Coverage
- Reporting period: 2025-06-01 through 2025-06-30 (30 days)
- Geographic scope: Baton Rouge, LA
- Total crash records analyzed: 1,080
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: June 2025." Published June 19, 2026. Reporting period: 2025-06-01 to 2025-06-30. Data source: Baton Rouge Crash Data, Socrata Open Data. Available at: https://thatcarhitme.com/crash-data/louisiana/baton-rouge/june-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: 2025-06-01 – 2025-06-30
Generated: June 19, 2026 · All rights reserved