Monthly Traffic Safety Analysis

1,157 CRASHES IN
AUSTIN, TX
OCTOBER 2024

All metrics benchmarked againstOctober 2023

In October 2024, Austin recorded 1,157 total vehicle crashes, a slight decrease of 1.5% from the 1,174 crashes reported in October 2023. While the total number of crashes remained relatively stable, there was a notable year-over-year decrease in traffic fatalities. The number of persons killed in crashes fell from 6 in the prior period to 4 in the current period.

1,157

▼ -1.4%was 1,174

Total Crash Events

4

▼ -33.3%was 6

Persons Killed

795

▲ 6.9%was 744

Persons Injured

4

▼ -42.9%was 7

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 · 2024-10-01 to 2024-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall traffic crash volume in Austin showed a slight decline in October 2024 compared to the same month in the previous year, with total crashes falling by 1.5% from 1,174 to 1,157. Despite this marginal decrease in total incidents, the number of reported injuries rose by 6.8%, from 744 to 795. Conversely, traffic fatalities saw a significant year-over-year reduction, dropping by 33.3% from 6 to 4.

Vulnerable Road User Casualties

2

Pedestrians Killed

Prior: 5↓-60.0%

2

Motorists Killed

Prior: 1↑100.0%

0

Pedestrians Injured

Prior: 0→0.0%

0

Motorists Injured

Prior: 0→0.0%

Source: Austin Crash Reports · Socrata Open Data · 2024-10-01 to 2024-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes showed some shifts between October 2023 and October 2024. The peak day for crashes moved from Tuesday (191 crashes) in the prior year to Wednesday (196 crashes) in the current year. The afternoon rush hour remained the most frequent time for collisions, though the specific peak hour shifted one hour earlier from 5 p.m. (104 crashes) in 2023 to 4 p.m. (76 crashes) in 2024.

Source: Austin Crash Reports · Socrata Open Data · 2024-10-01 to 2024-10-31 · Crash date field aggregated by weekday

Source: Austin Crash Reports · Socrata Open Data · 2024-10-01 to 2024-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes shifted year-over-year, with a lower proportion of the most and least severe outcomes. The share of fatal crashes decreased from 0.6% of all incidents in October 2023 to 0.3% in October 2024, while crashes resulting in no injuries fell from 50.4% to 44.9% of the total. Conversely, the share of crashes involving minor or possible injuries increased, with minor injury crashes rising from 19.3% to 22.8% and possible injury crashes increasing from 19.9% to 21.9%.

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.3%
↓-42.9%prior 7
Serious Injury32serious injury crashes2.8%
↓-8.6%prior 35
Minor Injury264minor injury crashes22.8%
↑16.3%prior 227
Possible Injury253possible injury crashes21.9%
↑8.1%prior 234
Injury85minor injury crashes7.3%
↑7.6%prior 79
No Injury519no injury crashes44.9%
↓-12.3%prior 592

Source: Austin Crash Reports · Socrata Open Data · 2024-10-01 to 2024-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Austin Crash Reports · Socrata Open Data · 2024-10-01 to 2024-10-31 · Most severe injury per crash record

Speed Limit Zones

There was a noticeable shift in the distribution of crashes across different speed zones year-over-year. Crashes in the 40–45 mph range increased from 227 incidents to 297, becoming the most frequent zone for collisions in October 2024. Concurrently, crashes on roads with speed limits of 50 mph or higher saw a decline. In October 2023, two fatalities were recorded in a 40 mph zone, while in October 2024, all four recorded fatalities occurred on roads with speed limits of 45 mph or higher.

Fatal crashes by zone: 45 mph: 1 of 212 (0.472%) · 50 mph: 1 of 59 (1.695%) · 55 mph: 1 of 83 (1.205%) · 60 mph: 1 of 91 (1.099%)

Source: Austin Crash Reports · Socrata Open Data · 2024-10-01 to 2024-10-31 · 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: 2024-10-01 through 2024-10-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2024-10-01 through 2024-10-31 (31 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 1,157

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: October 2024." Published July 6, 2026. Reporting period: 2024-10-01 to 2024-10-31. 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/october-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 — October 2024 | ThatCarHitMe.com