Monthly Traffic Safety Analysis

1,164 CRASHES IN
AUSTIN, TX
SEPTEMBER 2014

All metrics benchmarked againstSeptember 2013

In September 2014, Austin recorded 1,164 total traffic crashes, a 5.6% decrease from the 1,233 crashes recorded in September 2013. This overall reduction was accompanied by a significant year-over-year shift in crash outcomes. The most notable change was the decrease in traffic fatalities, which fell from 6 in the prior year period to 2 in the current period.

1,164

▼ -5.6%was 1,233

Total Crash Events

2

▼ -66.7%was 6

Persons Killed

777

▼ -9.7%was 860

Persons Injured

2

▼ -66.7%was 6

Fatal Crash Events

Note: "Persons Killed" (2) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Austin Crash Reports · Socrata Open Data · 2014-09-01 to 2014-09-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Data for September shows a downward trend in traffic collisions compared to the same month in the previous year. Total crashes fell by 5.6%, from 1,233 to 1,164. This trend extended to crash outcomes, with total injuries decreasing by 9.7% from 860 to 777 and fatalities dropping from 6 to 2.

Vulnerable Road User Casualties

2

Motorists Killed

Prior: 5↓-60.0%

0

Motorists Injured

Prior: 0→0.0%

Source: Austin Crash Reports · Socrata Open Data · 2014-09-01 to 2014-09-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The timing of crashes showed some changes between the two periods. While the 5 p.m. hour remained the peak time for collisions in both September 2013 (126 crashes) and September 2014 (89 crashes), the peak day of the week shifted. In 2013, Friday was the day with the most crashes (217), whereas in 2014, the peak shifted to Tuesday (203 crashes).

Source: Austin Crash Reports · Socrata Open Data · 2014-09-01 to 2014-09-30 · Crash date field aggregated by weekday

Source: Austin Crash Reports · Socrata Open Data · 2014-09-01 to 2014-09-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes decreased in September 2014 compared to the prior year. Fatal crashes fell from 6 events (0.5% of total) to 2 events (0.2% of total). Similarly, crashes resulting in serious injuries declined from 47 (3.8% of total) to 41 (3.5% of total). Conversely, the proportion of crashes with no reported injuries increased from 46.0% in 2013 to 48.8% in 2014, even as the absolute count remained nearly identical (567 vs. 568).

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.2%
↓-66.7%prior 6
Serious Injury41serious injury crashes3.5%
↓-12.8%prior 47
Minor Injury226minor injury crashes19.4%
↓-17.8%prior 275
Possible Injury257possible injury crashes22.1%
↓-6.5%prior 275
Injury70minor injury crashes6%
↑11.1%prior 63
No Injury568no injury crashes48.8%
↑0.2%prior 567

Source: Austin Crash Reports · Socrata Open Data · 2014-09-01 to 2014-09-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Austin Crash Reports · Socrata Open Data · 2014-09-01 to 2014-09-30 · Most severe injury per crash record

Speed Limit Zones

Crash distribution across speed zones remained largely consistent year-over-year, with the 30-35 mph range accounting for the most incidents in both periods (307 in 2013 vs. 315 in 2014). A notable decrease occurred in zones of 60 mph and higher, where crashes fell from 199 to 168. The distribution of fatal crashes also changed; in September 2013, fatalities occurred in zones ranging from 30 mph to 60 mph, while in September 2014, both fatal crashes occurred in zones of 55 mph or higher.

Fatal crashes by zone: 55 mph: 1 of 110 (0.909%) · 60 mph: 1 of 67 (1.493%)

Source: Austin Crash Reports · Socrata Open Data · 2014-09-01 to 2014-09-30 · 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: 2014-09-01 through 2014-09-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2014-09-01 through 2014-09-30 (30 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 1,164

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: September 2014." Published July 5, 2026. Reporting period: 2014-09-01 to 2014-09-30. 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/september-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 — September 2014 | ThatCarHitMe.com