Monthly Traffic Safety Analysis

1,071 CRASHES IN
AUSTIN, TX
FEBRUARY 2014

All metrics benchmarked againstFebruary 2013

In February 2014, Austin recorded 1,071 total traffic crashes, an 8.4% decrease from the 1,169 crashes reported in February 2013. This overall decline was accompanied by a notable reduction in crash severity, with total injuries falling by 19.9% from 923 to 739 year-over-year. The number of traffic fatalities also decreased from 7 to 5 over the same period.

1,071

▼ -8.4%was 1,169

Total Crash Events

5

▼ -28.6%was 7

Persons Killed

739

▼ -19.9%was 923

Persons Injured

4

▼ -42.9%was 7

Fatal Crash Events

Note: "Persons Killed" (5) 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 · 2014-02-01 to 2014-02-28 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Year-over-year data for February indicates a general downward trend in traffic collisions in Austin. Total crashes fell by 8.4%, from 1,169 in February 2013 to 1,071 in February 2014. Similarly, the human toll saw a significant reduction, with total injuries dropping by 19.9% and fatalities decreasing from 7 to 5.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 4↓-75.0%

3

Motorists Killed

Prior: 3→0.0%

0

Pedestrians Injured

Prior: 0→0.0%

0

Motorists Injured

Prior: 0→0.0%

Source: Austin Crash Reports · Socrata Open Data · 2014-02-01 to 2014-02-28 · 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 broadly consistent year-over-year, with Friday being the peak day for collisions in both February 2014 (204 crashes) and February 2013 (200 crashes). The peak hour for crashes shifted slightly from 5 p.m. in the prior year (100 crashes) to 4 p.m. in the current year (90 crashes), though both fall within the evening commute period. A notable decrease in collisions was observed on Saturdays, which saw 193 crashes in 2013 compared to 159 in 2014.

Source: Austin Crash Reports · Socrata Open Data · 2014-02-01 to 2014-02-28 · Crash date field aggregated by weekday

Source: Austin Crash Reports · Socrata Open Data · 2014-02-01 to 2014-02-28 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

Crash severity improved in February 2014 compared to the previous year. The proportion of fatal crashes decreased from 0.6% to 0.4% of all collisions, and serious injury crashes fell from 3.8% to 2.8%. Correspondingly, the share of crashes resulting in no injuries increased from 41.7% in February 2013 to 47.2% in February 2014, suggesting a shift towards less severe outcomes overall.

Severity is per crash event (most severe injury). 4 fatal crash events resulted in 5 persons killed.

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.4%
↓-42.9%prior 7
Serious Injury30serious injury crashes2.8%
↓-33.3%prior 45
Minor Injury246minor injury crashes23%
↓-20.4%prior 309
Possible Injury223possible injury crashes20.8%
↓-10.8%prior 250
Injury62minor injury crashes5.8%
↓-11.4%prior 70
No Injury506no injury crashes47.2%
↑3.7%prior 488

Source: Austin Crash Reports · Socrata Open Data · 2014-02-01 to 2014-02-28 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Austin Crash Reports · Socrata Open Data · 2014-02-01 to 2014-02-28 · Most severe injury per crash record

Speed Limit Zones

The distribution of crashes across speed zones remained relatively stable, with the 30-35 mph range accounting for the most crashes in both February 2013 (297 crashes) and February 2014 (296 crashes). There was a notable decrease in collisions within 40-45 mph zones, from 221 to 192. In February 2014, all 4 fatal crashes occurred in zones of 50 mph or less, with 3 of them in 50 mph zones. This contrasts with the prior year, where the 7 fatal crashes were distributed across a wider range of speed limits up to 65 mph.

Fatal crashes by zone: 30 mph: 1 of 122 (0.82%) · 50 mph: 3 of 67 (4.478%)

Source: Austin Crash Reports · Socrata Open Data · 2014-02-01 to 2014-02-28 · 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: 2014-02-01 through 2014-02-28
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2014-02-01 through 2014-02-28 (28 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 1,071

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: February 2014." Published July 5, 2026. Reporting period: 2014-02-01 to 2014-02-28. 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/february-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 — February 2014 | ThatCarHitMe.com