ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · BATON ROUGE, LA · JULY 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/july-2024-report
Monthly Traffic Safety Analysis
1,128 CRASHES IN
BATON ROUGE, LA
JULY 2024
In July 2024, Baton Rouge recorded 1,128 total crashes, a 9.8% increase from the 1,027 crashes reported in July 2023. This overall rise in collisions was accompanied by a notable increase in crash severity. The number of people injured in crashes grew by 16.3% from 783 to 911, while the number of fatalities doubled from two to four.
1,128
▲ 9.8%was 1,027
Total Crash Events
4
▲ 100.0%was 2
Fatal Crashes
911
▲ 16.3%was 783
Injury Crashes
248
▲ 7.8%was 230
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 · 2024-07-01 to 2024-07-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year, traffic crashes in Baton Rouge showed an upward trend in July. Total collisions increased by 9.8%, from 1,027 in July 2023 to 1,128 in July 2024. This increase was reflected in outcomes, with total injuries rising by 16.3% and total fatalities doubling from two to four.
248
Hit-and-Run Crashes — July 2024
▲ 7.8% vs prior (230)
The total number of hit-and-run incidents increased from 230 in July 2023 to 248 in July 2024. However, despite this rise in absolute numbers, the hit-and-run rate as a percentage of total crashes saw a slight decrease. The rate fell from 22.4% in the prior year to 22.0% in the current period.
When Crashes Happen
The temporal pattern of crashes shifted between the two periods, with the peak day moving from Monday in July 2023 (184 crashes) to Tuesday in July 2024 (208 crashes). Crashes on Tuesdays and Wednesdays saw significant year-over-year increases, rising from 123 to 208 and 140 to 204, respectively. In contrast, the combined count of crashes on Saturdays and Sundays decreased from 262 in the prior year to 224 in the current period.
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-07-01 to 2024-07-31 · Crash date field aggregated by weekday
Crash Severity Breakdown
Crash severity increased in July 2024 compared to the previous year. The number of fatal crashes doubled from 2 to 4, and the corresponding fatal crash rate rose from 0.19% to 0.35%. The proportion of crashes resulting in an injury also increased, accounting for 80.8% of all incidents in July 2024 (911 crashes) compared to 76.2% in July 2023 (783 crashes). Consequently, the share of crashes with no reported injuries decreased from 23.6% to 18.9%.
Outcome by Severity (Crash Events)
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-07-01 to 2024-07-31 · 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 · 2024-07-01 to 2024-07-31 · Most severe injury per crash record
Top Contributing Factors
The ranking of top contributing factors remained consistent year-over-year, with "Violations" being the most cited factor in both periods. The count of crashes attributed to violations increased from 758 in July 2023 to 837 in July 2024. Similarly, the second-ranked factor, "Movement prior to crash," saw its count increase from 230 to 240 incidents. Crashes linked to "Driver condition" also rose, from 19 to 24.
Officer-Reported Primary Contributing Cause
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-07-01 to 2024-07-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
While clear weather and dry roads were the predominant conditions in both periods, crashes in adverse weather increased significantly year-over-year. The number of crashes occurring in rain rose from 24 in July 2023 to 132 in July 2024. Correspondingly, crashes on wet road surfaces increased from 32 to 218. The proportion of crashes happening in daylight conditions increased slightly from 77.4% to 80.6% of all crashes.
Weather
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-07-01 to 2024-07-31 · Weather condition at time of crash
Lighting
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-07-01 to 2024-07-31 · Lighting condition field
Road Surface
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-07-01 to 2024-07-31 · 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: 2024-07-01 through 2024-07-31
- Report generated: June 19, 2026
Data Coverage
- Reporting period: 2024-07-01 through 2024-07-31 (31 days)
- Geographic scope: Baton Rouge, LA
- Total crash records analyzed: 1,128
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 2024." Published June 19, 2026. Reporting period: 2024-07-01 to 2024-07-31. Data source: Baton Rouge Crash Data, Socrata Open Data. Available at: https://thatcarhitme.com/crash-data/louisiana/baton-rouge/july-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: 2024-07-01 – 2024-07-31
Generated: June 19, 2026 · All rights reserved