ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · BATON ROUGE, LA · SEPTEMBER 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/september-2024-report
Monthly Traffic Safety Analysis
1,263 CRASHES IN
BATON ROUGE, LA
SEPTEMBER 2024
In September 2024, Baton Rouge recorded 1,263 motor vehicle crashes, a 4.6% decrease from the 1,324 crashes documented in September 2023. Despite the overall reduction in collisions, the number of fatalities increased from 3 to 5 during the same period. Total reported injuries saw a slight decline from 1,027 to 984.
1,263
▼ -4.6%was 1,324
Total Crash Events
5
▲ 66.7%was 3
Fatal Crashes
984
▼ -4.2%was 1,027
Injury Crashes
280
▼ -15.2%was 330
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 · 2024-09-01 to 2024-09-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends in Baton Rouge show a year-over-year decrease for September. Total collisions fell by 4.6%, from 1,324 in September 2023 to 1,263 in September 2024. This represents a net reduction of 61 reported crash events.
280
Hit-and-Run Crashes — September 2024
▼ -15.2% vs prior (330)
Hit-and-run incidents showed a downward trend in September 2024 compared to the same month in the prior year. The total count of hit-and-run crashes decreased by 15.2%, from 330 to 280. The hit-and-run rate, which measures the proportion of all crashes that are hit-and-runs, also declined from 24.9% in September 2023 to 22.2% in September 2024.
When Crashes Happen
The temporal patterns of crashes showed some year-over-year shifts for September. Friday remained the peak day for collisions in both September 2023 (267 crashes) and September 2024 (226 crashes). However, the distribution of crashes during the week changed, with Monday crashes increasing from 160 to 208, while Saturday crashes decreased from 210 to 137. Data on peak crash hours was not available for comparison.
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-09-01 to 2024-09-30 · Crash date field aggregated by weekday
Crash Severity Breakdown
While total crashes decreased, the severity of collisions worsened in September 2024 compared to the previous year. The number of fatal crashes increased from 3 to 5, and the total number of fatalities rose from 3 to 5. Consequently, the fatal crash share of all crashes increased from 0.2% to 0.4%. The proportion of crashes involving injuries remained largely unchanged, accounting for 77.6% of crashes in September 2023 and 77.9% in September 2024.
Outcome by Severity (Crash Events)
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-09-01 to 2024-09-30 · 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 · 2024-09-01 to 2024-09-30 · Most severe injury per crash record
Top Contributing Factors
The ranking of the top contributing factors remained consistent year-over-year, with 'Violations' being the most cited factor in both September 2023 and September 2024. The count of crashes attributed to 'Violations' was stable, moving from 966 to 969. In contrast, crashes related to 'Movement prior to crash' decreased in count from 314 to 246. The number of crashes involving 'Driver condition' as a factor held steady at 20 for both periods.
Officer-Reported Primary Contributing Cause
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-09-01 to 2024-09-30 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
A comparison of crash conditions reveals a significant increase in collisions occurring during adverse weather. The number of crashes in the rain grew from 26 in September 2023 to 124 in September 2024. Correspondingly, crashes on wet road surfaces increased from 38 to 168. Crashes in clear weather and on dry roads both decreased. Lighting conditions for crashes remained relatively stable between the two periods, with most collisions in both years occurring during daylight.
Weather
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-09-01 to 2024-09-30 · Weather condition at time of crash
Lighting
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-09-01 to 2024-09-30 · Lighting condition field
Road Surface
Source: Baton Rouge Crash Data · Socrata Open Data · 2024-09-01 to 2024-09-30 · 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: 2024-09-01 through 2024-09-30
- Report generated: June 19, 2026
Data Coverage
- Reporting period: 2024-09-01 through 2024-09-30 (30 days)
- Geographic scope: Baton Rouge, LA
- Total crash records analyzed: 1,263
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: September 2024." Published June 19, 2026. Reporting period: 2024-09-01 to 2024-09-30. Data source: Baton Rouge Crash Data, Socrata Open Data. Available at: https://thatcarhitme.com/crash-data/louisiana/baton-rouge/september-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: 2024-09-01 – 2024-09-30
Generated: June 19, 2026 · All rights reserved