Monthly Traffic Safety Analysis

1,264 CRASHES IN
AUSTIN, TX
JANUARY 2014

All metrics benchmarked againstJanuary 2013

In January 2014, Austin recorded 1,264 vehicle crashes, a 17.5% increase compared to the 1,076 crashes reported in January 2013. While overall crashes and the number of people injured (851, up from 764) increased, the most notable year-over-year change was a significant decrease in traffic fatalities. The number of deaths fell by 66.7%, from 9 in the prior year's period to 3 in the current period.

1,264

▲ 17.5%was 1,076

Total Crash Events

3

▼ -66.7%was 9

Persons Killed

851

▲ 11.4%was 764

Persons Injured

2

▼ -75.0%was 8

Fatal Crash Events

Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (2) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Austin Crash Reports · Socrata Open Data · 2014-01-01 to 2014-01-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Year-over-year data for January shows a rising trend in the total number of traffic crashes in Austin. Collisions increased by 17.5%, from 1,076 in January 2013 to 1,264 in January 2014. The number of people injured in these incidents also rose by 11.4% to 851, while traffic fatalities saw a sharp decline from 9 to 3.

Vulnerable Road User Casualties

3

Motorists Killed

Prior: 6↓-50.0%

0

Motorists Injured

Prior: 0→0.0%

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

When Crashes Happen

The day with the highest number of crashes shifted from Tuesday (196 crashes) in January 2013 to Wednesday (260 crashes) in January 2014. The peak hour for collisions, however, remained consistent year-over-year, with 6 p.m. being the most frequent time for crashes in both periods. In January 2014, crashes were more concentrated on Wednesday, Thursday, and Friday, which together accounted for 56.3% of the month's total, a more pronounced midweek peak than in the prior year.

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

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

Crash Severity Breakdown

The severity of crashes decreased from January 2013 to January 2014. The fatal crash rate fell from 0.7% (8 fatal crashes) to 0.2% (2 fatal crashes) of all collisions. The proportion of crashes resulting in serious injuries also declined from 3.5% to 2.5% year-over-year. Correspondingly, the share of crashes with no reported injuries increased from 42.9% in the prior period to 49.5% in the current period.

Severity is per crash event (most severe injury). 2 fatal crash events resulted in 3 persons killed.

Outcome by Severity (Crash Events)

Fatal2fatal crashes0.2%
↓-75.0%prior 8
Serious Injury32serious injury crashes2.5%
↓-15.8%prior 38
Minor Injury289minor injury crashes22.9%
↑19.4%prior 242
Possible Injury252possible injury crashes19.9%
↓-0.4%prior 253
Injury63minor injury crashes5%
↓-13.7%prior 73
No Injury626no injury crashes49.5%
↑35.5%prior 462

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

Severity Distribution (Crash Events)

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

Speed Limit Zones

Crashes became more prevalent in higher speed zones in January 2014 compared to the previous year. While 30-35 mph zones remained a high-frequency area for collisions in both periods (261 in 2013 vs. 281 in 2014), crashes in 50-60 mph zones increased by 47.3% from 182 to 268. The two fatal crashes in January 2014 occurred in 40 mph and 50 mph zones. This contrasts with January 2013, where fatal crashes with associated speed data were recorded in 25 mph, 30 mph, and 70 mph zones.

Fatal crashes by zone: 40 mph: 1 of 102 (0.98%) · 50 mph: 1 of 78 (1.282%)

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

Data Coverage

  • Reporting period: 2014-01-01 through 2014-01-31 (31 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 1,264

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: January 2014." Published July 5, 2026. Reporting period: 2014-01-01 to 2014-01-31. 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/january-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

ThatCarHitMe.com · An Injuria.ai Company

Austin, TX Crash Report — January 2014 | ThatCarHitMe.com