Monthly Traffic Safety Analysis

1,222 CRASHES IN
AUSTIN, TX
APRIL 2014

All metrics benchmarked againstApril 2013

In April 2014, Austin recorded 1,222 total traffic crashes, a slight decrease of 1.0% from the 1,234 crashes reported in April 2013. While the number of total fatalities remained unchanged at six, the most significant year-over-year change was a 31.7% reduction in crashes resulting in serious injuries, which fell from 41 to 28.

1,222

-1.0%was 1,234

Total Crash Events

6

Persons Killed

925

-2.1%was 945

Persons Injured

6

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 · 2014-04-01 to 2014-04-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall, traffic crash trends in Austin showed a slight decline in April 2014 compared to the same month in the previous year. Total crashes decreased by 1.0% from 1,234 to 1,222, and the number of people injured fell by 2.1% from 945 to 925. The number of fatalities remained stable, with six deaths recorded in both periods.

Vulnerable Road User Casualties

4

Pedestrians Killed

Prior: 333.3%

1

Motorists Killed

Prior: 2-50.0%

0

Pedestrians Injured

Prior: 00.0%

0

Motorists Injured

Prior: 00.0%

Source: Austin Crash Reports · Socrata Open Data · 2014-04-01 to 2014-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes shifted slightly between April 2013 and April 2014. The day with the most crashes moved from Tuesday (199 crashes) in the prior year to Friday (214 crashes) in the current period. The peak hour for collisions also changed, with the 4 p.m. and 5 p.m. hours tying for the most incidents (102 each) in April 2014, whereas the 4 p.m. hour was the sole peak in the previous year with 108 crashes.

Source: Austin Crash Reports · Socrata Open Data · 2014-04-01 to 2014-04-30 · Crash date field aggregated by weekday

Source: Austin Crash Reports · Socrata Open Data · 2014-04-01 to 2014-04-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes shifted towards less severe outcomes in April 2014 compared to April 2013. While the number of fatal crashes remained constant at six (0.5% of all crashes in both periods), there was a notable decrease in serious injury crashes, which fell from 41 (3.3% of total) to 28 (2.3% of total). Correspondingly, the proportion of crashes with no reported injuries increased from 41.4% to 44.5% year-over-year.

Outcome by Severity (Crash Events)

Fatal6fatal crashes0.5%
0.0%prior 6
Serious Injury28serious injury crashes2.3%
-31.7%prior 41
Minor Injury293minor injury crashes24%
-8.4%prior 320
Possible Injury288possible injury crashes23.6%
3.6%prior 278
Injury63minor injury crashes5.2%
-19.2%prior 78
No Injury544no injury crashes44.5%
6.5%prior 511

Source: Austin Crash Reports · Socrata Open Data · 2014-04-01 to 2014-04-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Austin Crash Reports · Socrata Open Data · 2014-04-01 to 2014-04-30 · Most severe injury per crash record

Speed Limit Zones

Analysis of crashes by posted speed limit shows a shift towards moderate-speed zones in April 2014. The number of crashes in 30–35 mph zones increased from 296 to 333, while collisions in 65 mph or higher zones decreased from 126 to 94. A significant change was also observed in the location of fatal crashes; in April 2013, all four fatal crashes with speed data occurred in zones of 55 mph or higher. In contrast, in April 2014, three of the five fatal crashes with speed data occurred in zones of 50 mph or less.

Fatal crashes by zone: 40 mph: 2 of 123 (1.626%) · 45 mph: 1 of 148 (0.676%) · 50 mph: 1 of 82 (1.22%) · 65 mph: 1 of 58 (1.724%)

Source: Austin Crash Reports · Socrata Open Data · 2014-04-01 to 2014-04-30 · 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: 2014-04-01 through 2014-04-30
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2014-04-01 through 2014-04-30 (30 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 1,222

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: April 2014." Published July 6, 2026. Reporting period: 2014-04-01 to 2014-04-30. 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/april-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 — April 2014 | ThatCarHitMe.com