ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · JUNE 2015
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/june-2015-report
Monthly Traffic Safety Analysis
1,270 CRASHES IN
AUSTIN, TX
JUNE 2015
In June 2015, there were 1,270 total crashes in Austin, a 6.5% increase from the 1,193 crashes recorded in June 2014. While total injuries decreased by 12.1%, the number of fatalities rose from 5 to 8 year-over-year. The most notable shift was the increase in fatal crashes, which more than doubled from 4 to 9, causing the fatal crash rate to rise from 0.34% to 0.71%.
1,270
▲ 6.5%was 1,193
Total Crash Events
8
▲ 60.0%was 5
Persons Killed
820
▼ -12.1%was 933
Persons Injured
9
▲ 125.0%was 4
Fatal Crash Events
Note: "Persons Killed" (8) counts individual fatalities across all crash events. "Fatal" in the severity table below (9) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2015-06-01 to 2015-06-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, the total number of crashes increased by 6.5% from June 2014 to June 2015. This upward trend in crash volume was accompanied by a significant 60% increase in fatalities, rising from 5 to 8. In contrast, the total number of injuries reported saw a decrease of 12.1% over the same period, dropping from 933 to 820.
Vulnerable Road User Casualties
3
Pedestrians Killed
1
Cyclists Killed
3
Motorists Killed
0
Pedestrians Injured
0
Cyclists Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2015-06-01 to 2015-06-30 · 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 some changes between the two periods. The peak day for crashes shifted from Monday (205 crashes) in June 2014 to Tuesday (241 crashes) in June 2015. However, the peak hour for collisions remained consistent year-over-year, occurring at 5 p.m. in both periods, with 114 crashes in 2015 compared to 120 in 2014.
Source: Austin Crash Reports · Socrata Open Data · 2015-06-01 to 2015-06-30 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2015-06-01 to 2015-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Crash severity distribution shifted significantly year-over-year, with the proportion of fatal crashes more than doubling from 0.3% in June 2014 to 0.7% in June 2015. Conversely, the share of crashes resulting in serious injuries decreased from 3.1% to 2.2%. The proportion of crashes with no injuries increased from 44.0% to 49.2%, indicating a rise in less severe incidents alongside the increase in fatal events.
Severity is per crash event (most severe injury). 9 fatal crash events resulted in 8 persons killed.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2015-06-01 to 2015-06-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2015-06-01 to 2015-06-30 · Most severe injury per crash record
Speed Limit Zones
Crashes increased across most speed zones from June 2014 to June 2015, with notable growth in zones of 65 mph or more, which saw an increase from 96 to 136 crashes. The distribution of fatal crashes by speed limit also changed significantly. In June 2014, the 3 fatal crashes recorded in speed-posted zones occurred on roads with limits of 55 mph or higher. In contrast, June 2015 saw 8 fatal crashes spread across a wider range of speed zones, including 4 fatal crashes in 30-35 mph zones and 1 in a 25 mph zone.
Fatal crashes by zone: 25 mph: 1 of 25 (4%) · 30 mph: 2 of 109 (1.835%) · 35 mph: 2 of 201 (0.995%) · 45 mph: 1 of 165 (0.606%) · 55 mph: 1 of 134 (0.746%) · 65 mph: 1 of 70 (1.429%)
Source: Austin Crash Reports · Socrata Open Data · 2015-06-01 to 2015-06-30 · 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: 2015-06-01 through 2015-06-30
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2015-06-01 through 2015-06-30 (30 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 1,270
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 2015." Published July 5, 2026. Reporting period: 2015-06-01 to 2015-06-30. 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-2015-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: 2015-06-01 – 2015-06-30
Generated: July 5, 2026 · All rights reserved