ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · AUGUST 2014
Purpose: Machine-readable JSON endpoint for AI agents, LLMs, researchers, and programmatic consumers. Returns all underlying crash data and AI-generated commentary without HTML.
Authentication: None required. Public endpoint.
GET: https://thatcarhitme.com/api/crash-data/reports/data/texas/austin/august-2014-report
Monthly Traffic Safety Analysis
1,146 CRASHES IN
AUSTIN, TX
AUGUST 2014
In August 2014, Austin recorded 1,146 total vehicle crashes, an 8.0% decrease from the 1,245 crashes reported in August 2013. Despite the overall reduction in collisions, the number of fatalities more than doubled, increasing from 3 in the prior year to 7 in the current period. This rise in fatalities occurred even as the number of injuries fell by 16.6% from 918 to 766.
1,146
▼ -8.0%was 1,245
Total Crash Events
7
▲ 133.3%was 3
Persons Killed
766
▼ -16.6%was 918
Persons Injured
7
▲ 133.3%was 3
Fatal Crash Events
Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (7) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2014-08-01 to 2014-08-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic safety trends showed a year-over-year improvement in volume, with total crashes falling by 8.0% from 1,245 to 1,146. The number of people injured in these incidents also saw a significant decline, decreasing by 16.6% from 918 to 766. However, this positive trend in crash and injury reduction did not extend to fatalities, which rose from 3 to 7.
Vulnerable Road User Casualties
1
Pedestrians Killed
3
Motorists Killed
0
Pedestrians Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2014-08-01 to 2014-08-31 · 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. Friday was the peak day for collisions in both August 2014 (221 crashes) and August 2013 (220 crashes). The peak hour for crashes shifted slightly earlier, from 6 PM in the prior year (88 crashes) to 5 PM in the current year (94 crashes), indicating a concentration of incidents during the late afternoon commute.
Source: Austin Crash Reports · Socrata Open Data · 2014-08-01 to 2014-08-31 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2014-08-01 to 2014-08-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes decreased, the severity of those crashes worsened year-over-year. The proportion of fatal crashes more than doubled, rising from 0.2% of all crashes in August 2013 to 0.6% in August 2014. The share of crashes resulting in serious injuries remained stable at approximately 3.0%, while the proportion of minor injury crashes fell from 24.7% to 22.0%. Correspondingly, crashes with no reported injuries increased as a share of the total, from 43.9% to 46.4%.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2014-08-01 to 2014-08-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2014-08-01 to 2014-08-31 · Most severe injury per crash record
Speed Limit Zones
The distribution of crashes by speed limit saw a decrease in incidents in 30-35 mph zones (from 329 to 289) and 40-45 mph zones (from 237 to 214), while crashes in 50-55 mph zones increased from 141 to 192. Fatal crashes also shifted to higher speed zones. In August 2013, all 3 fatal crashes occurred in zones posted at 45-50 mph. In contrast, August 2014 saw its 7 fatal crashes spread across zones ranging from 35 mph to 70 mph, with 3 of the 7 fatalities occurring in zones of 65 mph or higher.
Fatal crashes by zone: 35 mph: 1 of 166 (0.602%) · 40 mph: 2 of 87 (2.299%) · 55 mph: 1 of 113 (0.885%) · 65 mph: 1 of 46 (2.174%) · 70 mph: 2 of 43 (4.651%)
Source: Austin Crash Reports · Socrata Open Data · 2014-08-01 to 2014-08-31 · 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: 2014-08-01 through 2014-08-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2014-08-01 through 2014-08-31 (31 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 1,146
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: August 2014." Published July 5, 2026. Reporting period: 2014-08-01 to 2014-08-31. 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/august-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
ThatCarHitMe.com
An Injuria.ai Company
Crash Data Intelligence
Data: Austin Crash Reports · Socrata
Period: 2014-08-01 – 2014-08-31
Generated: July 5, 2026 · All rights reserved