Monthly Traffic Safety Analysis

1,027 CRASHES IN
BATON ROUGE, LA
JULY 2023

All metrics benchmarked againstJuly 2022

In July 2023, Baton Rouge recorded 1,027 total vehicle crashes, a significant increase from the 10 crashes reported in July 2022. This surge was accompanied by a rise in fatalities from zero to two and injuries from 9 to 783. The most notable year-over-year shift was the substantial increase in overall crash volume and a corresponding rise in the hit-and-run rate.

1,027

10170.0%was 10

Total Crash Events

2

Fatal Crashes

783

8600.0%was 9

Injury Crashes

230

22900.0%was 1

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 · 2023-07-01 to 2023-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Traffic crashes in Baton Rouge saw a substantial year-over-year increase. Total collisions rose from 10 in July 2022 to 1,027 in July 2023. Similarly, the number of injuries increased from 9 to 783, and two fatalities were recorded in July 2023, compared to none in the prior year's period.

230

Hit-and-Run Crashes — July 2023

22900.0% vs prior (1)

Hit-and-run incidents increased significantly in both count and rate. The number of hit-and-run crashes rose from 1 in July 2022 to 230 in July 2023. The corresponding rate also increased, with hit-and-runs accounting for 22.4% of all crashes in the current period, up from 10% in the prior year.

When Crashes Happen

The temporal pattern of crashes shifted between the two periods. In July 2023, Monday was the peak day for crashes with 184 incidents. This contrasts with July 2022, when Friday was the busiest day with 4 crashes.

Source: Baton Rouge Crash Data · Socrata Open Data · 2023-07-01 to 2023-07-31 · Crash date field aggregated by weekday

Crash Severity Breakdown

While the total number of injury and fatal crashes increased, the severity distribution shifted. The proportion of crashes resulting in an injury decreased from 90% in July 2022 to 76.2% in July 2023. In July 2023, there were 2 fatal crashes, accounting for 0.2% of the total, whereas no fatal crashes were recorded in the same month of the previous year.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.2%
Injury783minor injury crashes76.2%
8600.0%prior 9
No Injury242no injury crashes23.6%
24100.0%prior 1

Source: Baton Rouge Crash Data · Socrata Open Data · 2023-07-01 to 2023-07-31 · 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 · 2023-07-01 to 2023-07-31 · Most severe injury per crash record

Top Contributing Factors

Officer-Reported Primary Contributing Cause

Violations758 (73.8%)
Movement prior to crash230 (22.4%)
Driver condition19 (1.9%)
Vehicle condition10 (1%)
Vision obstructions4 (0.4%)
Roadway condition2 (0.2%)
Weather condition1 (0.1%)
Non-motorist action1 (0.1%)
Road surface1 (0.1%)
Traffic control1 (0.1%)

Source: Baton Rouge Crash Data · Socrata Open Data · 2023-07-01 to 2023-07-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

Crash conditions varied significantly year-over-year, particularly concerning weather. In July 2023, 90.8% of crashes occurred in clear weather, a substantial increase from 40% in July 2022. The proportion of crashes on dry road surfaces also increased slightly from 90% to 94.2% year-over-year, while crashes during daylight hours remained the dominant condition in both periods, at 80% in 2022 and 77.4% in 2023.

Weather

Clear933 (93.0%)
Cloudy46 (4.6%)
820.0%prior 5
Rain24 (2.4%)

Source: Baton Rouge Crash Data · Socrata Open Data · 2023-07-01 to 2023-07-31 · Weather condition at time of crash

Lighting

Daylight795 (79.3%)
9837.5%prior 8
Dark - continuous street lights143 (14.3%)
Dark - street lights at intersection only31 (3.1%)
Dawn/dusk13 (1.3%)
Dark - not lighted11 (1.1%)
Dark - unknown lighting6 (0.6%)
Other3 (0.3%)

Source: Baton Rouge Crash Data · Socrata Open Data · 2023-07-01 to 2023-07-31 · Lighting condition field

Road Surface

Dry967 (96.2%)
10644.4%prior 9
Wet32 (3.2%)
Water (standing, moving)3 (0.3%)
Other2 (0.2%)
Oil1 (0.1%)

Source: Baton Rouge Crash Data · Socrata Open Data · 2023-07-01 to 2023-07-31 · 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: 2023-07-01 through 2023-07-31
  • Report generated: June 19, 2026

Data Coverage

  • Reporting period: 2023-07-01 through 2023-07-31 (31 days)
  • Geographic scope: Baton Rouge, LA
  • Total crash records analyzed: 1,027

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 2023." Published June 19, 2026. Reporting period: 2023-07-01 to 2023-07-31. Data source: Baton Rouge Crash Data, Socrata Open Data. Available at: https://thatcarhitme.com/crash-data/louisiana/baton-rouge/july-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

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Baton Rouge, LA Crash Report — July 2023 | ThatCarHitMe.com