Monthly Traffic Safety Analysis

1,144 CRASHES IN
AUSTIN, TX
DECEMBER 2013

All metrics benchmarked againstDecember 2012

In December 2013, Austin recorded 1,144 total vehicle crashes, a 10.0% decrease from the 1,271 crashes reported in December 2012. Total injuries also declined by 17.2% from 877 to 726. The most significant year-over-year change was the number of fatalities, which fell by 72.7% from 11 in the prior period to 3 in the current period.

1,144

▼ -10.0%was 1,271

Total Crash Events

3

▼ -72.7%was 11

Persons Killed

726

▼ -17.2%was 877

Persons Injured

3

▼ -70.0%was 10

Fatal Crash Events

Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Austin Crash Reports · Socrata Open Data · 2013-12-01 to 2013-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Key traffic safety metrics showed a downward trend in Austin when comparing December 2013 to the same month in 2012. Total crashes decreased by 10.0% from 1,271 to 1,144. Similarly, total reported injuries fell by 17.2%, and total fatalities saw a substantial decrease from 11 to 3.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 1→0.0%

2

Motorists Killed

Prior: 7↓-71.4%

0

Pedestrians Injured

Prior: 0→0.0%

0

Motorists Injured

Prior: 0→0.0%

Source: Austin Crash Reports · Socrata Open Data · 2013-12-01 to 2013-12-31 · 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 largely consistent year-over-year, with Monday being the peak day for crashes in both December 2013 (229 crashes) and December 2012 (243 crashes). The 6 p.m. hour was also the peak time for collisions in both periods, accounting for 116 crashes in the current period and 105 in the prior. While the primary peaks held steady, there was a notable decrease in Saturday crashes from 197 to 147 year-over-year.

Source: Austin Crash Reports · Socrata Open Data · 2013-12-01 to 2013-12-31 · Crash date field aggregated by weekday

Source: Austin Crash Reports · Socrata Open Data · 2013-12-01 to 2013-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The overall severity of crashes decreased in December 2013 compared to the previous year. Fatal crashes dropped from 10 to 3, and their share of all crashes fell from 0.8% to 0.3%. The proportion of crashes resulting in any type of injury (Fatal, Serious, Minor, or Possible) decreased from 47.1% in December 2012 to 43.7% in December 2013. Correspondingly, the share of crashes with no reported injuries increased from 47.2% to 48.8%.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.3%
↓-70.0%prior 10
Serious Injury33serious injury crashes2.9%
↓-5.7%prior 35
Minor Injury244minor injury crashes21.3%
↓-14.1%prior 284
Possible Injury220possible injury crashes19.2%
↓-18.2%prior 269
Injury86minor injury crashes7.5%
↑17.8%prior 73
No Injury558no injury crashes48.8%
↓-7.0%prior 600

Source: Austin Crash Reports · Socrata Open Data · 2013-12-01 to 2013-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Austin Crash Reports · Socrata Open Data · 2013-12-01 to 2013-12-31 · Most severe injury per crash record

Speed Limit Zones

In both periods, the highest number of crashes occurred in 30–35 mph speed zones, though the count in this category decreased from 305 to 251 year-over-year. A significant shift occurred in the location of fatal crashes; while fatal crashes in December 2012 were recorded across a wide range of speed zones from 25 mph to 65 mph, all 3 fatal crashes in December 2013 occurred in higher speed zones of 55 mph or greater.

Fatal crashes by zone: 55 mph: 1 of 94 (1.064%) · 60 mph: 1 of 52 (1.923%) · 65 mph: 1 of 99 (1.01%)

Source: Austin Crash Reports · Socrata Open Data · 2013-12-01 to 2013-12-31 · 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: 2013-12-01 through 2013-12-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2013-12-01 through 2013-12-31 (31 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 1,144

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: December 2013." Published July 6, 2026. Reporting period: 2013-12-01 to 2013-12-31. 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/december-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 — December 2013 | ThatCarHitMe.com