Monthly Traffic Safety Analysis

2 CRASHES IN
BATON ROUGE, LA
JANUARY 2021

In January 2021, Baton Rouge reported 2 traffic crashes, which resulted in 0 fatalities and 1 injury. The crashes were evenly divided by severity, with one incident causing an injury and the other resulting in no injuries. The manner of collision was also split, with one rear-end crash and one incident not involving a collision between two motor vehicles.

2

Total Crash Events

0

Fatal Crashes

1

Injury Crashes

0

Fatal Crash Events

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 · 2021-01-01 to 2021-01-31 · Aggregate counts from crash, person, and vehicle records

When Crashes Happen

During this period, traffic incidents were recorded on Wednesday and Saturday, with one crash occurring on each day. Both crashes reportedly took place during the 1 a.m. hour. The incidents were evenly split between lighting conditions, with one crash taking place in daylight and the other occurring in darkness.

Source: Baton Rouge Crash Data · Socrata Open Data · 2021-01-01 to 2021-01-31 · Crash date field aggregated by weekday

Crash Severity Breakdown

Of the two crashes reported, severity was evenly distributed, with one crash (50%) resulting in an injury and the other (50%) involving no injuries. There were 0 fatal crashes recorded during this period.

Outcome by Severity (Crash Events)

Injury1minor injury crashes50%
No Injury1no injury crashes50%

Source: Baton Rouge Crash Data · Socrata Open Data · 2021-01-01 to 2021-01-31 · 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 · 2021-01-01 to 2021-01-31 · Most severe injury per crash record

Road & Environmental Conditions

Based on available lighting data, the two crashes were evenly split between different conditions. One crash, representing 50% of the total, occurred during "Daylight". The other incident (50%) took place in darkness where street lights were present only at an intersection.

Lighting

Dark - street lights at intersection only1 (50.0%)
Daylight1 (50.0%)

Source: Baton Rouge Crash Data · Socrata Open Data · 2021-01-01 to 2021-01-31 · Lighting 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: 2021-01-01 through 2021-01-31
  • Report generated: June 19, 2026

Data Coverage

  • Reporting period: 2021-01-01 through 2021-01-31 (31 days)
  • Geographic scope: Baton Rouge, LA
  • Total crash records analyzed: 2

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 2021." Published June 19, 2026. Reporting period: 2021-01-01 to 2021-01-31. Data source: Baton Rouge Crash Data, Socrata Open Data. Available at: https://thatcarhitme.com/crash-data/louisiana/baton-rouge/january-2021-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

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Baton Rouge, LA Crash Report — January 2021 | ThatCarHitMe.com