Yearly Traffic Safety Analysis

15,038 CRASHES IN
BATON ROUGE, LA
2025

All metrics benchmarked against2024

In 2025, Baton Rouge recorded 15,038 total traffic crashes, a 1.8% decrease from the 15,306 crashes reported in 2024. While overall crash totals saw a slight decline, the most significant year-over-year shift was a 22.3% reduction in the count of crashes attributed to 'Movement prior to crash' as a contributing factor. Conversely, the count of crashes attributed to 'Violations' increased by 4.6%.

15,038

▼ -1.8%was 15,306

Total Crash Events

34

▼ -12.8%was 39

Fatal Crashes

11,646

▼ -2.7%was 11,965

Injury Crashes

3,307

▼ -2.4%was 3,390

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 · 2025-01-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall traffic safety trends in Baton Rouge showed a slight improvement year-over-year. Total crashes fell by 1.8%, from 15,306 in 2024 to 15,038 in 2025. This downward trend was also reflected in crash outcomes, with total fatalities decreasing from 39 to 34 and total injuries declining from 11,965 to 11,646.

3,307

Hit-and-Run Crashes — 2025

▼ -2.4% vs prior (3,390)

The number of hit-and-run crashes in Baton Rouge saw a slight decline, falling from 3,390 in 2024 to 3,307 in 2025. The hit-and-run rate, representing the proportion of all crashes that were hit-and-runs, remained nearly stable, with a marginal decrease from 22.1% to 22.0%. This indicates a slightly decreasing trend in these types of incidents.

When Crashes Happen

The weekly pattern of crashes remained consistent between the two periods, with Friday being the peak day for collisions in both 2025 (2,543 crashes) and 2024 (2,633 crashes). Sunday was the day with the fewest crashes in both years. The general distribution of crashes throughout the week did not change significantly year-over-year.

Source: Baton Rouge Crash Data · Socrata Open Data · 2025-01-01 to 2025-12-31 · Crash date field aggregated by weekday

Crash Severity Breakdown

The severity of crashes saw a minor decrease in 2025 compared to the prior year. The fatal crash rate fell from 0.25% to 0.23%, with 34 fatal crashes in 2025 versus 39 in 2024. The proportion of crashes resulting in injury also decreased slightly from 78.2% to 77.4%, while the share of non-injury crashes rose from 21.6% to 22.3%.

Outcome by Severity (Crash Events)

Fatal34fatal crashes0.2%
↓-12.8%prior 39
Injury11,646minor injury crashes77.4%
↓-2.7%prior 11,965
No Injury3,358no injury crashes22.3%
↑1.7%prior 3,302

Source: Baton Rouge Crash Data · Socrata Open Data · 2025-01-01 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 · 2025-01-01 to 2025-12-31 · Most severe injury per crash record

Top Contributing Factors

'Violations' remained the top contributing factor in both years, with the count of related crashes increasing by 4.6% from 11,430 in 2024 to 11,955 in 2025. In contrast, the second-ranked factor, 'Movement prior to crash,' saw its count decrease by 22.3%, from 3,276 incidents to 2,544. Consequently, the share of crashes attributed to 'Violations' grew from a 74.7% share to a 79.5% share, while the share for 'Movement prior to crash' fell from 21.4% to 16.9%.

Officer-Reported Primary Contributing Cause

Violations11,955 (79.5%)↑4.6%prior 11,430
Movement prior to crash2,544 (16.9%)↓-22.3%prior 3,276
Driver condition255 (1.7%)↓-13.3%prior 294
Vehicle condition84 (0.6%)↑25.4%prior 67
Vision obstructions77 (0.5%)↑57.1%prior 49
Roadway condition35 (0.2%)↓-27.1%prior 48
Road surface29 (0.2%)↓-40.8%prior 49
Non-motorist action28 (0.2%)↓-24.3%prior 37
Weather condition15 (0.1%)↓-51.6%prior 31
Traffic control7 (0%)↓-50.0%prior 14

Source: Baton Rouge Crash Data · Socrata Open Data · 2025-01-01 to 2025-12-31 · Officer-reported primary contributory cause per crash

Road & Environmental Conditions

The vast majority of crashes in both periods occurred in clear weather on dry roads. However, there was a decrease in crashes under adverse conditions in 2025. Collisions on wet roads declined from 1,700 in 2024 to 1,367 in 2025, and crashes during rain fell from 1,140 to 877. The proportion of crashes on wet surfaces decreased from 11.1% to 9.1% year-over-year.

Weather

Clear12,840 (86.1%)
↑0.4%prior 12,783
Cloudy1,138 (7.6%)
↓-0.2%prior 1,140
Rain877 (5.9%)
↓-23.1%prior 1,140
Fog, smog, smoke17 (0.1%)
↓-22.7%prior 22
Snow14 (0.1%)
Other10 (0.1%)
→0.0%prior 10
Freezing rain or freezing drizzle4 (0.0%)
↓-75.0%prior 16
Severe crosswinds2 (0.0%)
Blowing snow2 (0.0%)
Blowing sand, soil, dirt1 (0.0%)

Source: Baton Rouge Crash Data · Socrata Open Data · 2025-01-01 to 2025-12-31 · Weather condition at time of crash

Lighting

Daylight11,093 (74.5%)
→-0.0%prior 11,097
Dark - continuous street lights2,677 (18.0%)
↓-6.2%prior 2,854
Dark - street lights at intersection only411 (2.8%)
↑3.8%prior 396
Dawn/dusk392 (2.6%)
↑2.1%prior 384
Dark - not lighted186 (1.2%)
↑8.8%prior 171
Dark - unknown lighting103 (0.7%)
↓-38.3%prior 167
Other21 (0.1%)
↓-19.2%prior 26

Source: Baton Rouge Crash Data · Socrata Open Data · 2025-01-01 to 2025-12-31 · Lighting condition field

Road Surface

Dry13,453 (90.1%)
↑1.0%prior 13,319
Wet1,367 (9.2%)
↓-19.6%prior 1,700
Water (standing, moving)49 (0.3%)
↑25.6%prior 39
Ice/frost30 (0.2%)
↓-6.3%prior 32
Mud, dirt, gravel8 (0.1%)
↓-11.1%prior 9
Snow7 (0.0%)
Other7 (0.0%)
↓-22.2%prior 9
Slush2 (0.0%)
Oil1 (0.0%)

Source: Baton Rouge Crash Data · Socrata Open Data · 2025-01-01 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: 2025-01-01 through 2025-12-31
  • Report generated: June 19, 2026

Data Coverage

  • Reporting period: 2025-01-01 through 2025-12-31 (365 days)
  • Geographic scope: Baton Rouge, LA
  • Total crash records analyzed: 15,038

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: 2025." Published June 19, 2026. Reporting period: 2025-01-01 to 2025-12-31. Data source: Baton Rouge Crash Data, Socrata Open Data. Available at: https://thatcarhitme.com/crash-data/louisiana/baton-rouge/2025-annual-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 — 2025 | ThatCarHitMe.com