ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · MARCH 2026
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/texas/austin/march-2026-report
Monthly Traffic Safety Analysis
832 CRASHES IN
AUSTIN, TX
MARCH 2026
In March 2026, Austin recorded 832 total vehicle crashes, a 21.6% decrease from the 1,061 crashes reported in March 2025. This downward trend was also reflected in crash outcomes, with total injuries falling from 741 to 520. The most significant year-over-year change was a 76.5% reduction in traffic fatalities, which dropped from 17 in the prior period to 4 in the current period.
832
▼ -21.6%was 1,061
Total Crash Events
4
▼ -76.5%was 17
Persons Killed
520
▼ -29.8%was 741
Persons Injured
4
▼ -69.2%was 13
Fatal Crash Events
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2026-03-01 to 2026-03-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for March 2026 indicates a significant downward trend compared to the same month in the prior year. Total crashes fell by 21.6%, from 1,061 to 832. This improvement extended to crash severity, as total injuries decreased by 29.8% and fatalities saw a substantial 76.5% drop year-over-year.
Vulnerable Road User Casualties
2
Pedestrians Killed
0
Pedestrians Injured
Source: Austin Crash Reports · Socrata Open Data · 2026-03-01 to 2026-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between March 2025 and March 2026. The day with the highest crash volume moved from Thursday (184 crashes) in the prior year to Tuesday (133 crashes) in the current year. Similarly, the peak time for collisions shifted from the 4 p.m. hour in 2025 to the 5 p.m. hour in 2026, with the number of crashes during that peak hour decreasing from 80 to 60.
Source: Austin Crash Reports · Socrata Open Data · 2026-03-01 to 2026-03-31 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2026-03-01 to 2026-03-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Year-over-year data shows a decrease in the most severe crash outcomes. The proportion of crashes resulting in a fatality fell from 1.2% in March 2025 to 0.5% in March 2026, with the total number of fatal crashes dropping from 13 to 4. While the share of serious injury crashes increased from 2.0% to 3.0%, the proportion of 'Possible Injury' crashes declined from 18.4% to 15.7%. The share of crashes with no reported injuries rose slightly from 47.0% to 48.9%.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2026-03-01 to 2026-03-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2026-03-01 to 2026-03-31 · Most severe injury per crash record
Speed Limit Zones
The distribution of crashes across different speed zones remained relatively stable year-over-year, with the largest share of collisions in both periods occurring in 40-55 mph zones. In March 2026, crashes in these zones accounted for 40.9% of the total, compared to 39.2% in March 2025. However, there was a notable change in where fatal crashes occurred. While the prior year saw 2 of its 13 fatalities in a 35 mph zone, all 4 fatalities in the current period happened on roads with speed limits of 40 mph or higher.
Fatal crashes by zone: 40 mph: 1 of 69 (1.449%) · 60 mph: 1 of 43 (2.326%) · 65 mph: 2 of 109 (1.835%)
Source: Austin Crash Reports · Socrata Open Data · 2026-03-01 to 2026-03-31 · Posted speed limit at crash location
Data Sources & Methodology
Primary Data Source
All crash data in this report is sourced from Austin Crash Reports (https://data.austintexas.gov/d/y2wy-tgr5), 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)
- Dataset URL: https://data.austintexas.gov/d/y2wy-tgr5
- Data format: Structured JSON via REST API
- Record types queried: Crash events, person records, and vehicle unit records
- Date filter applied: 2026-03-01 through 2026-03-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2026-03-01 through 2026-03-31 (31 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 832
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). "Austin, TX Crash Intelligence Report: March 2026." Published July 5, 2026. Reporting period: 2026-03-01 to 2026-03-31. Data source: Austin Crash Reports, Socrata Open Data. Dataset: https://data.austintexas.gov/d/y2wy-tgr5. Available at: https://thatcarhitme.com/crash-data/texas/austin/march-2026-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: Austin Crash Reports · Socrata
Period: 2026-03-01 – 2026-03-31
Generated: July 5, 2026 · All rights reserved