Monthly Traffic Safety Analysis

1,298 CRASHES IN
AUSTIN, TX
OCTOBER 2014

All metrics benchmarked againstOctober 2013

In October 2014, Austin recorded 1,298 total vehicle crashes, a 4.9% decrease from the 1,365 crashes reported in October 2013. While total collisions and fatalities declined year-over-year, the total number of persons injured saw a slight increase of 1.5%. The most notable temporal shift was the peak day for crashes, which moved from Thursday in the prior year to Friday in the current period, which saw 289 collisions.

1,298

▼ -4.9%was 1,365

Total Crash Events

6

▼ -25.0%was 8

Persons Killed

941

▲ 1.5%was 927

Persons Injured

6

▼ -14.3%was 7

Fatal Crash Events

Note: "Persons Killed" (6) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Austin Crash Reports · Socrata Open Data · 2014-10-01 to 2014-10-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, the trend for traffic collisions in Austin showed a decrease in volume and severity in October 2014 compared to the previous year. Total crashes fell by 4.9% from 1,365 to 1,298, and the number of fatalities dropped from 8 to 6. In contrast, the total number of people injured increased slightly from 927 in October 2013 to 941 in October 2014.

Vulnerable Road User Casualties

6

Motorists Killed

Prior: 7↓-14.3%

0

Motorists Injured

Prior: 0→0.0%

Source: Austin Crash Reports · Socrata Open Data · 2014-10-01 to 2014-10-31 · 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 a notable shift between October 2013 and October 2014. The peak day for collisions moved from Thursday (239 crashes) in the prior year to Friday (289 crashes) in the current period. The peak hour for crashes, however, remained consistent at 5 p.m. in both years, with 105 crashes in October 2014 compared to 110 in the same hour the previous year.

Source: Austin Crash Reports · Socrata Open Data · 2014-10-01 to 2014-10-31 · Crash date field aggregated by weekday

Source: Austin Crash Reports · Socrata Open Data · 2014-10-01 to 2014-10-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes remained broadly similar year-over-year, with a slight decrease in the fatal crash rate from 0.51% to 0.46% of all crashes. While the proportion of crashes resulting in serious (2.8%) or minor (23.3%) injuries was nearly unchanged, there was a small increase in the share of crashes involving 'Possible Injury,' which rose from 21.3% to 22.8%. Correspondingly, the percentage of crashes with no reported injuries decreased from 46.8% in October 2013 to 44.6% in October 2014.

Outcome by Severity (Crash Events)

Fatal6fatal crashes0.5%
↓-14.3%prior 7
Serious Injury36serious injury crashes2.8%
↓-2.7%prior 37
Minor Injury303minor injury crashes23.3%
↓-4.1%prior 316
Possible Injury296possible injury crashes22.8%
↑1.7%prior 291
Injury78minor injury crashes6%
↑4.0%prior 75
No Injury579no injury crashes44.6%
↓-9.4%prior 639

Source: Austin Crash Reports · Socrata Open Data · 2014-10-01 to 2014-10-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Austin Crash Reports · Socrata Open Data · 2014-10-01 to 2014-10-31 · Most severe injury per crash record

Speed Limit Zones

The distribution of crashes across different speed zones remained largely consistent between the two periods, with the largest number of crashes in both years occurring in 30-35 mph zones. There was a reduction in collisions occurring in zones of 65 mph or higher, which fell from 133 to 118. In October 2014, fatal crashes were recorded in zones with speed limits of 40, 45, and 55 mph, whereas in the prior year, the 7 fatal crashes were more widely distributed across zones ranging from 35 mph to 70 mph.

Fatal crashes by zone: 40 mph: 3 of 121 (2.479%) · 45 mph: 1 of 165 (0.606%) · 55 mph: 1 of 138 (0.725%)

Source: Austin Crash Reports · Socrata Open Data · 2014-10-01 to 2014-10-31 · 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: 2014-10-01 through 2014-10-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2014-10-01 through 2014-10-31 (31 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 1,298

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 2014." Published July 5, 2026. Reporting period: 2014-10-01 to 2014-10-31. 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-2014-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 2014 | ThatCarHitMe.com