ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · 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/2015-annual-report
Yearly Traffic Safety Analysis
15,223 CRASHES IN
AUSTIN, TX
2015
In 2015, Austin recorded 15,223 total crashes, a 6.0% increase from the 14,365 crashes documented in 2014. While the number of injuries remained stable, the most significant year-over-year change was a 71.2% rise in total fatalities, which increased from 59 to 101. The proportion of crashes that were fatal also increased, rising from 0.38% to 0.64%.
15,223
▲ 6.0%was 14,365
Total Crash Events
101
▲ 71.2%was 59
Persons Killed
10,030
Persons Injured
98
▲ 78.2%was 55
Fatal Crash Events
Note: "Persons Killed" (101) counts individual fatalities across all crash events. "Fatal" in the severity table below (98) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2015-01-01 to 2015-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall crash trends in Austin showed an upward trajectory between 2014 and 2015. Total crashes rose by 6.0%, from 14,365 to 15,223. This increase was accompanied by a sharp 71.2% rise in fatalities, from 59 to 101, while the total number of injuries remained nearly unchanged, increasing by just 4 individuals from 10,026 to 10,030.
Vulnerable Road User Casualties
31
Pedestrians Killed
2
Cyclists Killed
53
Motorists Killed
0
Pedestrians Injured
0
Cyclists Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2015-01-01 to 2015-12-31 · 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 highly consistent year-over-year. Friday was the peak day for crashes in both 2015 (2,514 crashes) and 2014 (2,429 crashes). Similarly, the 5 p.m. hour was the single busiest hour for collisions in both periods, accounting for 1,229 crashes in 2015 and 1,100 in 2014. No significant shifts in the daily or hourly distribution of crashes were observed between the two years.
Source: Austin Crash Reports · Socrata Open Data · 2015-01-01 to 2015-12-31 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2015-01-01 to 2015-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes worsened between 2014 and 2015, with the proportion of fatal crashes increasing from 0.4% to 0.6% of all collisions. The share of serious injury crashes remained stable at approximately 2.7% in both years. There was a notable shift within non-serious injury categories, as the proportion of crashes involving minor injuries decreased from 22.2% to 19.4%, while crashes with possible or no injuries saw their combined share increase.
Severity is per crash event (most severe injury). 98 fatal crash events resulted in 101 persons killed.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2015-01-01 to 2015-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2015-01-01 to 2015-12-31 · Most severe injury per crash record
Speed Limit Zones
Crashes increased across all speed zones from 2014 to 2015. A significant shift occurred in the location of fatal crashes, with a notable increase on higher-speed roads. In 2015, there were 22 fatal crashes in 45 mph zones and another 22 in 55 mph zones, up from 4 and 9 fatal crashes in those respective zones in 2014. Conversely, the number of fatal crashes in 40 mph zones decreased from 10 in 2014 to 6 in 2015.
Fatal crashes by zone: 25 mph: 2 of 231 (0.866%) · 30 mph: 10 of 1,499 (0.667%) · 35 mph: 11 of 2,369 (0.464%) · 40 mph: 6 of 1,152 (0.521%) · 45 mph: 22 of 1,906 (1.154%) · 50 mph: 6 of 880 (0.682%) · 55 mph: 22 of 1,688 (1.303%) · 60 mph: 3 of 930 (0.323%) · 65 mph: 4 of 832 (0.481%) · 70 mph: 3 of 572 (0.524%)
Source: Austin Crash Reports · Socrata Open Data · 2015-01-01 to 2015-12-31 · 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: 2015-01-01 through 2015-12-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2015-01-01 through 2015-12-31 (365 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 15,223
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: 2015." Published July 6, 2026. Reporting period: 2015-01-01 to 2015-12-31. 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/2015-annual-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: 2015-01-01 – 2015-12-31
Generated: July 6, 2026 · All rights reserved