Monthly Traffic Safety Analysis

1,220 CRASHES IN
AUSTIN, TX
JUNE 2013

All metrics benchmarked againstJune 2012

In June 2013, Austin recorded 1,220 total crashes, a 6.7% increase from the 1,143 crashes reported in June 2012. This rise was accompanied by an increase in both fatalities, from 10 to 11, and injuries, from 844 to 975. The most significant year-over-year shift was in pedestrian-involved crashes, which more than doubled from 16 to 33 incidents.

1,220

6.7%was 1,143

Total Crash Events

11

10.0%was 10

Persons Killed

975

15.5%was 844

Persons Injured

11

10.0%was 10

Fatal Crash Events

Note: "Persons Killed" (11) counts individual fatalities across all crash events. "Fatal" in the severity table below (11) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Austin Crash Reports · Socrata Open Data · 2013-06-01 to 2013-06-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash data for June indicates a rising trend year-over-year. Total crashes increased by 6.7%, from 1,143 in June 2012 to 1,220 in June 2013. This increase was accompanied by a 10% rise in fatalities (from 10 to 11) and a 15.5% rise in total injuries (from 844 to 975).

Vulnerable Road User Casualties

4

Pedestrians Killed

Prior: 333.3%

1

Cyclists Killed

Prior: 0%

4

Motorists Killed

Prior: 40.0%

0

Pedestrians Injured

Prior: 00.0%

0

Cyclists Injured

Prior: 00.0%

0

Motorists Injured

Prior: 00.0%

Source: Austin Crash Reports · Socrata Open Data · 2013-06-01 to 2013-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes showed a shift between June 2012 and June 2013. The peak day for crashes moved from Friday (244 incidents) in the prior year to Saturday (205 incidents) in the current year. While the 5 p.m. hour remained the peak time for collisions in both periods, the number of crashes during that hour increased from 93 to 100.

Source: Austin Crash Reports · Socrata Open Data · 2013-06-01 to 2013-06-30 · Crash date field aggregated by weekday

Source: Austin Crash Reports · Socrata Open Data · 2013-06-01 to 2013-06-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes increased year-over-year. The proportion of crashes resulting in a serious injury rose from 2.0% (23 incidents) in June 2012 to 2.9% (35 incidents) in June 2013. Correspondingly, the share of crashes with no reported injuries decreased from 43.7% to 40.0%. The fatal crash rate saw a slight increase from 0.87% to 0.9% of all crashes.

Outcome by Severity (Crash Events)

Fatal11fatal crashes0.9%
10.0%prior 10
Serious Injury35serious injury crashes2.9%
52.2%prior 23
Minor Injury308minor injury crashes25.2%
16.2%prior 265
Possible Injury282possible injury crashes23.1%
6.8%prior 264
Injury96minor injury crashes7.9%
17.1%prior 82
No Injury488no injury crashes40%
-2.2%prior 499

Source: Austin Crash Reports · Socrata Open Data · 2013-06-01 to 2013-06-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Austin Crash Reports · Socrata Open Data · 2013-06-01 to 2013-06-30 · Most severe injury per crash record

Speed Limit Zones

Year-over-year data shows a shift in crashes toward higher speed zones. The number of crashes in zones posted at 65 mph or higher increased from 86 in June 2012 to 127 in June 2013. Crashes in 30-35 mph zones also rose from 270 to 293. In June 2013, the highest number of fatal crashes (4) occurred in 35 mph zones, an increase from 2 fatalities in that zone during the same month of the prior year.

Fatal crashes by zone: 30 mph: 1 of 117 (0.855%) · 35 mph: 4 of 176 (2.273%) · 40 mph: 1 of 81 (1.235%) · 45 mph: 1 of 144 (0.694%) · 60 mph: 1 of 69 (1.449%) · 65 mph: 1 of 99 (1.01%)

Source: Austin Crash Reports · Socrata Open Data · 2013-06-01 to 2013-06-30 · 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: 2013-06-01 through 2013-06-30
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2013-06-01 through 2013-06-30 (30 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 1,220

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: June 2013." Published July 6, 2026. Reporting period: 2013-06-01 to 2013-06-30. 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/june-2013-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 — June 2013 | ThatCarHitMe.com