Monthly Traffic Safety Analysis

1,205 CRASHES IN
AUSTIN, TX
MAY 2014

All metrics benchmarked againstMay 2013

In May 2014, Austin recorded 1,205 total crashes, a 1.3% decrease from the 1,221 crashes reported in May 2013. Despite the slight drop in overall collisions, the most notable year-over-year shift was an increase in fatalities, which rose from 3 to 5. Concurrently, the total number of injuries declined from 937 to 881.

1,205

▼ -1.3%was 1,221

Total Crash Events

5

▲ 66.7%was 3

Persons Killed

881

▼ -6.0%was 937

Persons Injured

4

▲ 33.3%was 3

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 · 2014-05-01 to 2014-05-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

The overall trend in crash volume was relatively stable, showing a slight year-over-year decrease of 1.3% from 1,221 incidents in May 2013 to 1,205 in May 2014. While total injuries fell by 6.0%, from 937 to 881, the number of persons killed in crashes increased from 3 to 5 during the same period.

Vulnerable Road User Casualties

4

Motorists Killed

Prior: 1↑300.0%

0

Motorists Injured

Prior: 0→0.0%

Source: Austin Crash Reports · Socrata Open Data · 2014-05-01 to 2014-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

Temporal crash patterns remained broadly similar year-over-year, with Friday being the peak day for collisions in both May 2013 (254 crashes) and May 2014 (222 crashes). However, the single busiest hour for crashes shifted slightly later in the evening commute, moving from the 4 p.m. hour in 2013 (113 crashes) to the 5 p.m. hour in 2014 (99 crashes).

Source: Austin Crash Reports · Socrata Open Data · 2014-05-01 to 2014-05-31 · Crash date field aggregated by weekday

Source: Austin Crash Reports · Socrata Open Data · 2014-05-01 to 2014-05-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes shifted between the two periods. The number of fatal crashes increased from 3 to 4, raising the fatal crash rate from 0.25% to 0.33% of all incidents. In contrast, crashes resulting in serious injuries declined, falling from 42 incidents (3.4% of total) in May 2013 to 31 (2.6% of total) in May 2014. The proportion of crashes with no reported injuries increased from 41.9% to 45.5%.

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

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.3%
↑33.3%prior 3
Serious Injury31serious injury crashes2.6%
↓-26.2%prior 42
Minor Injury290minor injury crashes24.1%
↓-7.9%prior 315
Possible Injury270possible injury crashes22.4%
↓-2.9%prior 278
Injury62minor injury crashes5.1%
↓-12.7%prior 71
No Injury548no injury crashes45.5%
↑7.0%prior 512

Source: Austin Crash Reports · Socrata Open Data · 2014-05-01 to 2014-05-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Austin Crash Reports · Socrata Open Data · 2014-05-01 to 2014-05-31 · Most severe injury per crash record

Speed Limit Zones

The distribution of crashes by posted speed limit showed a shift toward mid-range speed zones. Compared to the prior year, collisions increased in 40-45 mph zones (from 219 to 262) and 50-60 mph zones (from 204 to 252). Crashes decreased in zones of 30-35 mph (from 324 to 316) and in zones of 65 mph or more (from 116 to 96). The four fatal crashes in May 2014 occurred in zones with posted limits of 30, 35, 40, and 55 mph.

Fatal crashes by zone: 30 mph: 1 of 134 (0.746%) · 35 mph: 1 of 182 (0.549%) · 40 mph: 1 of 111 (0.901%) · 55 mph: 1 of 122 (0.82%)

Source: Austin Crash Reports · Socrata Open Data · 2014-05-01 to 2014-05-31 · 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: 2014-05-01 through 2014-05-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2014-05-01 through 2014-05-31 (31 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 1,205

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: May 2014." Published July 5, 2026. Reporting period: 2014-05-01 to 2014-05-31. 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/may-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 — May 2014 | ThatCarHitMe.com