ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · BATON ROUGE, LA · 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/louisiana/baton-rouge/august-2024-report
Monthly Traffic Safety Analysis
1,342 CRASHES IN
BATON ROUGE, LA
AUGUST 2024
In August 2024, Baton Rouge recorded 1,342 vehicle crashes, a slight decrease from the 1,351 crashes reported in August 2023. This represents a year-over-year reduction of less than 1% in total incidents. Despite the minor drop in overall collisions, the number of fatalities increased from one in the prior period to three in the current period.
1,342
▼ -0.7%was 1,351
Total Crash Events
3
▲ 200.0%was 1
Fatal Crashes
1,045
▼ -2.7%was 1,074
Injury Crashes
306
▲ 3.0%was 297
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 · 2024-08-01 to 2024-08-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash volume in Baton Rouge remained relatively stable year-over-year, with a minor decrease of 9 crashes from 1,351 in August 2023 to 1,342 in August 2024. The number of injuries also saw a slight decline, falling from 1,074 to 1,045. However, fatalities rose from one to three over the same period.
306
Hit-and-Run Crashes — August 2024
▲ 3.0% vs prior (297)
Hit-and-run incidents saw a slight increase in both count and rate year-over-year. In August 2024, there were 306 hit-and-run crashes, up from 297 in August 2023. This corresponds to an increase in the hit-and-run rate from 22.0% to 22.8% of all crashes, indicating a slight upward trend for this type of incident.
When Crashes Happen
The temporal patterns of crashes showed some consistency year-over-year. Thursday remained the peak day for crashes in both August 2023 (248 crashes) and August 2024 (250 crashes). There was a noticeable change in other daily patterns, with Saturday crashes increasing from 133 to 192 year-over-year, while crashes on Mondays decreased from 203 to 150.
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-08-01 to 2024-08-31 · Crash date field aggregated by weekday
Crash Severity Breakdown
Crash severity worsened in August 2024 compared to the previous year, as the number of fatal crashes increased from one to three. This caused the fatal crash rate to rise from 0.07% to 0.22% of all incidents. The proportion of crashes resulting in injury decreased from 79.5% (1,074 crashes) in the prior period to 77.9% (1,045 crashes) in the current period.
Outcome by Severity (Crash Events)
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-08-01 to 2024-08-31 · 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 · 2024-08-01 to 2024-08-31 · Most severe injury per crash record
Top Contributing Factors
Violations remained the top contributing factor in both periods, cited in 1,026 crashes in August 2024, an increase in count from 1,014 crashes in August 2023. 'Movement prior to crash' was the second-most common factor, with its count decreasing slightly from 272 to 266. Crashes attributed to 'Driver condition' saw a notable drop in count, falling from 35 incidents in the prior year to 24 in the current year.
Officer-Reported Primary Contributing Cause
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-08-01 to 2024-08-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crashes in adverse conditions increased in August 2024 compared to the previous year. The number of crashes occurring in rain nearly doubled, rising from 22 to 43, and incidents on wet road surfaces more than doubled from 34 to 75. While most crashes in both periods occurred in daylight, the count of crashes in darkness with continuous street lights increased from 152 to 196.
Weather
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-08-01 to 2024-08-31 · Weather condition at time of crash
Lighting
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-08-01 to 2024-08-31 · Lighting condition field
Road Surface
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-08-01 to 2024-08-31 · 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: 2024-08-01 through 2024-08-31
- Report generated: June 19, 2026
Data Coverage
- Reporting period: 2024-08-01 through 2024-08-31 (31 days)
- Geographic scope: Baton Rouge, LA
- Total crash records analyzed: 1,342
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 2024." Published June 19, 2026. Reporting period: 2024-08-01 to 2024-08-31. Data source: Baton Rouge Crash Data, Socrata Open Data. Available at: https://thatcarhitme.com/crash-data/louisiana/baton-rouge/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: Baton Rouge Crash Data · Socrata
Period: 2024-08-01 – 2024-08-31
Generated: June 19, 2026 · All rights reserved