ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · BATON ROUGE, LA · DECEMBER 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/december-2025-report
Monthly Traffic Safety Analysis
1,238 CRASHES IN
BATON ROUGE, LA
DECEMBER 2025
In December 2025, Baton Rouge recorded 1,238 traffic crashes, a 4.3% decrease from the 1,293 crashes reported in December 2024. This period also saw a significant reduction in traffic fatalities, which fell from 5 in the prior year to 1 in the current period. Overall, key metrics including total crashes, injuries, and fatalities all showed a year-over-year decline.
1,238
▼ -4.3%was 1,293
Total Crash Events
1
▼ -80.0%was 5
Fatal Crashes
949
▼ -6.0%was 1,010
Injury Crashes
261
▼ -10.0%was 290
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 · 2025-12-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic safety metrics in Baton Rouge showed a general improvement in December 2025 compared to the same month in 2024. Total crashes decreased by 4.3%, falling from 1,293 to 1,238. This downward trend was also reflected in crash outcomes, with total injuries declining by 6.0% and fatalities dropping from 5 to 1.
261
Hit-and-Run Crashes — December 2025
▼ -10.0% vs prior (290)
The number of hit-and-run incidents decreased in December 2025 compared to the same month in the prior year, falling from 290 to 261. The hit-and-run rate, which represents the percentage of total crashes that were hit-and-runs, also saw a modest decline. The rate dropped from 22.4% in December 2024 to 21.1% in December 2025, indicating a slight downward trend for this type of crash.
When Crashes Happen
The peak day for crashes shifted from Monday (240 crashes) in December 2024 to Thursday (208 crashes) in December 2025. While weekday crashes remained dominant in both periods, crash counts on Monday and Tuesday saw notable decreases year-over-year. Weekend crash counts were mixed, with Saturday remaining stable at 138 incidents while Sunday crashes decreased from 138 to 93.
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-12-01 to 2025-12-31 · Crash date field aggregated by weekday
Crash Severity Breakdown
Crash severity decreased in December 2025 compared to the previous year. The number of fatal crashes dropped from 5 to 1, and the total number of injuries fell from 1,010 to 949. While injury-involved crashes still constituted the majority of incidents, their share of the total decreased slightly from 78.1% to 76.7%. Conversely, the proportion of crashes resulting in no injuries increased from 21.5% to 23.3%.
Outcome by Severity (Crash Events)
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-12-01 to 2025-12-31 · 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 · 2025-12-01 to 2025-12-31 · Most severe injury per crash record
Top Contributing Factors
In both periods, 'Violations' was the leading contributing factor, and its count increased from 958 crashes in December 2024 to 1,022 in December 2025, a 6.7% rise. In contrast, crashes attributed to 'Movement prior to crash,' the second-ranked factor, decreased by 39.9% from 283 to 170 incidents. Crashes linked to 'Driver condition' also saw a significant drop, falling by 33.3% from 27 to 18 incidents year-over-year.
Officer-Reported Primary Contributing Cause
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-12-01 to 2025-12-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
Crash conditions remained broadly similar year-over-year, with the majority of incidents in both periods occurring in clear weather and on dry roads. Crashes during rainy conditions decreased from 154 to 119, and their share of the total fell from 11.9% to 9.6%. Similarly, incidents on wet road surfaces declined from 216 to 187. The distribution of crashes across different lighting conditions showed minimal change between December 2024 and December 2025.
Weather
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-12-01 to 2025-12-31 · Weather condition at time of crash
Lighting
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-12-01 to 2025-12-31 · Lighting condition field
Road Surface
Source: Baton Rouge Crash Data · Socrata Open Data · 2025-12-01 to 2025-12-31 · 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: 2025-12-01 through 2025-12-31
- Report generated: June 19, 2026
Data Coverage
- Reporting period: 2025-12-01 through 2025-12-31 (31 days)
- Geographic scope: Baton Rouge, LA
- Total crash records analyzed: 1,238
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: December 2025." Published June 19, 2026. Reporting period: 2025-12-01 to 2025-12-31. Data source: Baton Rouge Crash Data, Socrata Open Data. Available at: https://thatcarhitme.com/crash-data/louisiana/baton-rouge/december-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: 2025-12-01 – 2025-12-31
Generated: June 19, 2026 · All rights reserved