Monthly Traffic Safety Analysis

994 CRASHES IN
AUSTIN, TX
MARCH 2024

All metrics benchmarked againstMarch 2023

Total crashes in Austin decreased by 18.1% from 1,213 in March 2023 to 994 in March 2024. This downward trend was accompanied by a 12.2% reduction in total injuries, from 820 to 720. The most notable shift was a 39.6% drop in serious injury crashes, which fell from 48 to 29 year-over-year, while total fatalities decreased slightly from 9 to 8.

994

▼ -18.1%was 1,213

Total Crash Events

8

▼ -11.1%was 9

Persons Killed

720

▼ -12.2%was 820

Persons Injured

8

▼ -11.1%was 9

Fatal Crash Events

Note: "Persons Killed" (8) counts individual fatalities across all crash events. "Fatal" in the severity table below (8) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Austin Crash Reports · Socrata Open Data · 2024-03-01 to 2024-03-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Traffic crashes in Austin showed a significant downward trend in the year-over-year comparison for March. Total reported crashes fell by 18.1%, from 1,213 in March 2023 to 994 in March 2024. Correspondingly, the number of people injured in these incidents decreased by 12.2% from 820 to 720.

Vulnerable Road User Casualties

4

Pedestrians Killed

Prior: 4→0.0%

4

Motorists Killed

Prior: 3↑33.3%

0

Pedestrians Injured

Prior: 0→0.0%

0

Motorists Injured

Prior: 0→0.0%

Source: Austin Crash Reports · Socrata Open Data · 2024-03-01 to 2024-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes remained largely consistent between the two periods. Friday was the day with the highest number of crashes in both March 2024 (199 crashes) and March 2023 (223 crashes). The evening commute continued to be the peak time for incidents, though the specific peak hour shifted slightly from 4 p.m. in the prior year (83 crashes) to 5 p.m. in the current period (72 crashes).

Source: Austin Crash Reports · Socrata Open Data · 2024-03-01 to 2024-03-31 · Crash date field aggregated by weekday

Source: Austin Crash Reports · Socrata Open Data · 2024-03-01 to 2024-03-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While the total number of fatal crashes decreased from 9 to 8, the proportion of all crashes that were fatal increased slightly from 0.7% to 0.8% year-over-year. There was a positive shift in injury outcomes, as the share of crashes involving a serious injury dropped from 4.0% (48 incidents) to 2.9% (29 incidents). The proportion of crashes with no injuries also decreased from 47.2% to 45.4%.

Outcome by Severity (Crash Events)

Fatal8fatal crashes0.8%
↓-11.1%prior 9
Serious Injury29serious injury crashes2.9%
↓-39.6%prior 48
Minor Injury224minor injury crashes22.5%
↓-10.0%prior 249
Possible Injury211possible injury crashes21.2%
↓-16.3%prior 252
Injury71minor injury crashes7.1%
↓-14.5%prior 83
No Injury451no injury crashes45.4%
↓-21.2%prior 572

Source: Austin Crash Reports · Socrata Open Data · 2024-03-01 to 2024-03-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Austin Crash Reports · Socrata Open Data · 2024-03-01 to 2024-03-31 · Most severe injury per crash record

Speed Limit Zones

The distribution of crashes across different speed zones was similar between the two periods, with roads posted at 30-35 mph consistently seeing the highest volume of incidents. In March 2024, there was a notable concentration of fatal crashes in high-speed zones; 4 of the 8 total fatalities occurred on roads with speed limits of 65 mph or higher. This contrasts with March 2023, where only one fatality was reported in a zone of 65 mph or higher.

Fatal crashes by zone: 30 mph: 1 of 111 (0.901%) · 35 mph: 2 of 172 (1.163%) · 45 mph: 1 of 160 (0.625%) · 65 mph: 3 of 136 (2.206%) · 75 mph: 1 of 15 (6.667%)

Source: Austin Crash Reports · Socrata Open Data · 2024-03-01 to 2024-03-31 · 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: 2024-03-01 through 2024-03-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2024-03-01 through 2024-03-31 (31 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 994

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 2024." Published July 5, 2026. Reporting period: 2024-03-01 to 2024-03-31. 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-2024-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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Austin, TX Crash Report — March 2024 | ThatCarHitMe.com