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CRASH INTELLIGENCE REPORT · BATON ROUGE, LA · JANUARY 2023
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
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GET: https://thatcarhitme.com/api/crash-data/reports/data/louisiana/baton-rouge/january-2023-report
Monthly Traffic Safety Analysis
1,153 CRASHES IN
BATON ROUGE, LA
JANUARY 2023
In January 2023, Baton Rouge recorded 1,153 motor vehicle crashes. These incidents resulted in 6 fatalities and 892 injuries. A significant portion of these crashes, 77.4%, involved at least one reported injury, while 0.5% of crashes were fatal.
1,153
Total Crash Events
6
Fatal Crashes
892
Injury Crashes
25.0%
Hit-and-Run Rate
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 · 2023-01-01 to 2023-01-31 · Aggregate counts from crash, person, and vehicle records
288
Hit-and-Run Crashes — January 2023
Based on initial officer reports, 288 crashes in January 2023 were classified as hit-and-run incidents. This represents 25% of all crashes during the period. This classification is based on the determination made by the responding officer at the scene.
When Crashes Happen
Crash analysis indicates that incidents were most frequent on Tuesday, which saw 204 crashes, while Sunday had the lowest count at 127. A majority of crashes, 740 incidents or 64.2%, occurred during daylight hours. Crashes in darkness with continuous street lighting were the next most common lighting condition, accounting for 279 incidents.
Source: Baton Rouge Crash Data · Socrata Open Data · 2023-01-01 to 2023-01-31 · Crash date field aggregated by weekday
Crash Severity Breakdown
Of the 1,153 crashes reported, 77.4% (892 crashes) resulted in an injury, while 22.1% (255 crashes) were recorded as having no injuries. There were 6 fatal crashes, accounting for 0.5% of the total. These 6 crash events resulted in a total of 6 fatalities.
Outcome by Severity (Crash Events)
Source: Baton Rouge Crash Data · Socrata Open Data · 2023-01-01 to 2023-01-31 · 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 · 2023-01-01 to 2023-01-31 · Most severe injury per crash record
Top Contributing Factors
The most cited contributing factor to crashes was 'Violations,' which was noted in 833 incidents, or 72.2% of the total. The second most common factor was 'Movement prior to crash,' listed in 257 cases (22.3%). Other factors such as 'Driver condition' and 'Vehicle condition' were cited in a much smaller percentage of crashes, at 2.4% and 0.9% respectively.
Officer-Reported Primary Contributing Cause
Source: Baton Rouge Crash Data · Socrata Open Data · 2023-01-01 to 2023-01-31 · Officer-reported primary contributory cause per crash
Road & Environmental Conditions
The majority of crashes occurred in favorable environmental conditions. Specifically, 79.5% of crashes (917) happened in 'Clear' weather, and 82.1% (946) were on 'Dry' road surfaces. Adverse conditions were less frequent, with rain reported in 86 crashes and wet roads in 154 crashes.
Weather
Source: Baton Rouge Crash Data · Socrata Open Data · 2023-01-01 to 2023-01-31 · Weather condition at time of crash
Lighting
Source: Baton Rouge Crash Data · Socrata Open Data · 2023-01-01 to 2023-01-31 · Lighting condition field
Road Surface
Source: Baton Rouge Crash Data · Socrata Open Data · 2023-01-01 to 2023-01-31 · Road surface condition field
Relation to Roadway
The vast majority of crashes, 931 incidents or approximately 80.7%, occurred on the primary roadway travel lanes. A smaller portion of crashes happened adjacent to the main travel lanes. These included 64 crashes in a parking lane or zone and 44 on the roadside.
Relation to Roadway
"Other" combines 3 smaller categories (8 records): Median (4), Separator/traffic island (2), On shoulder, left side (2).
Source: Baton Rouge Crash Data · Socrata Open Data · 2023-01-01 to 2023-01-31 · Crash-level records
Crash Location Type
Crashes were most prevalent on city streets, which accounted for 532 incidents, or 46.1% of the total for the month. Major thoroughfares also saw significant crash activity, with 217 crashes on interstates and 177 on state highways. Crashes on private property or off-road locations were reported in 71 cases.
Crash Location Type
Source: Baton Rouge Crash Data · Socrata Open Data · 2023-01-01 to 2023-01-31 · Crash-level records
Manner of Collision
The most common type of collision was a front-to-rear crash, representing 410 incidents or 35.6% of all crashes. Sideswipes involving vehicles traveling in the same direction were the second most frequent type, with 176 occurrences (15.3%). Crashes not involving two motor vehicles, such as collisions with fixed objects, made up 150 incidents (13.0%).
Manner of Collision
"Other" combines 14 smaller categories (165 records): Angle - left opposite direction (25), Backing - rear to front (20), Angle - right into flow (19), Front to front - left against flow (18), Backing - rear to side (14), Angle - right across flow (12), Front to front - right against flow (10), Angle - left across flow (9), Sideswipe - left overtake (9), Sideswipe - opposite direction (9), Backing - rear to rear (8), Angle - right overtake (6), Sideswipe - right overtake (3), Angle - left overtake (3).
Source: Baton Rouge Crash Data · Socrata Open Data · 2023-01-01 to 2023-01-31 · Crash-level records
Vehicles Per Crash
The majority of crashes, 977 incidents or 84.7%, involved two vehicles. Single-vehicle crashes accounted for 86 incidents, representing 7.5% of the total. Multi-vehicle crashes involving three or more vehicles were less common, with 72 crashes involving three vehicles and 16 involving four vehicles.
Vehicles Per Crash
Source: Baton Rouge Crash Data · Socrata Open Data · 2023-01-01 to 2023-01-31 · Crash-level records
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: 2023-01-01 through 2023-01-31
- Report generated: June 19, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-01-31 (31 days)
- Geographic scope: Baton Rouge, LA
- Total crash records analyzed: 1,153
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: January 2023." Published June 19, 2026. Reporting period: 2023-01-01 to 2023-01-31. Data source: Baton Rouge Crash Data, Socrata Open Data. Available at: https://thatcarhitme.com/crash-data/louisiana/baton-rouge/january-2023-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: 2023-01-01 – 2023-01-31
Generated: June 19, 2026 · All rights reserved