ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · MAY 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/may-2015-report
Monthly Traffic Safety Analysis
1,284 CRASHES IN
AUSTIN, TX
MAY 2015
In May 2015, Austin recorded 1,284 total vehicle crashes, a 6.6% increase from the 1,205 crashes documented in May 2014. While total injuries remained relatively stable, increasing from 881 to 888, the number of fatalities rose significantly. Fatalities increased by 80%, from 5 in the prior period to 9 in the current period, resulting from 8 fatal crashes compared to 4 the previous year.
1,284
▲ 6.6%was 1,205
Total Crash Events
9
▲ 80.0%was 5
Persons Killed
888
▲ 0.8%was 881
Persons Injured
8
▲ 100.0%was 4
Fatal Crash Events
Note: "Persons Killed" (9) counts individual fatalities across all crash events. "Fatal" in the severity table below (8) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2015-05-01 to 2015-05-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Crash data for May indicates an upward trend compared to the same month last year. Total crashes increased by 6.6%, from 1,205 in May 2014 to 1,284 in May 2015. This rise was accompanied by a notable increase in crash severity, with total fatalities climbing from 5 to 9 year-over-year.
Vulnerable Road User Casualties
3
Pedestrians Killed
5
Motorists Killed
0
Pedestrians Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2015-05-01 to 2015-05-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes in May 2015 were largely consistent with the prior year. Friday remained the day with the most crashes, increasing from 222 to 258 incidents, and the 5 p.m. hour continued to be the peak time for collisions, rising from 99 to 114 crashes. One notable shift occurred in the ranking of busiest days; while Friday was the peak in both years, the second-highest crash day moved from Thursday (218 crashes) in 2014 to Saturday (203 crashes) in 2015.
Source: Austin Crash Reports · Socrata Open Data · 2015-05-01 to 2015-05-31 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2015-05-01 to 2015-05-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Year-over-year data shows a shift towards more severe outcomes in May 2015. The number of fatal crashes doubled from 4 to 8, causing the fatal crash rate to increase from 0.33% to 0.62% of all crashes. Similarly, crashes resulting in serious injuries grew from 31 (2.6% of total) to 41 (3.2% of total). Conversely, crashes involving minor injuries decreased from 290 to 269, representing a smaller share of the total at 21.0% compared to 24.1% in the prior year.
Severity is per crash event (most severe injury). 8 fatal crash events resulted in 9 persons killed.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2015-05-01 to 2015-05-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2015-05-01 to 2015-05-31 · Most severe injury per crash record
Speed Limit Zones
The distribution of crashes across different speed zones saw increases in most categories year-over-year. Crashes in zones 35 mph or less grew from 345 to 377, while incidents in zones 60 mph or higher increased from 147 to 184. In May 2015, fatal crashes were concentrated in zones between 30 mph and 50 mph, with two fatalities occurring in 45 mph zones and another two in 50 mph zones, which recorded no fatalities in the prior year's period. This contrasts with May 2014, where the four fatal crashes were more dispersed, with one each in 30, 35, 40, and 55 mph zones.
Fatal crashes by zone: 30 mph: 1 of 144 (0.694%) · 35 mph: 1 of 206 (0.485%) · 40 mph: 1 of 83 (1.205%) · 45 mph: 2 of 169 (1.183%) · 50 mph: 2 of 82 (2.439%)
Source: Austin Crash Reports · Socrata Open Data · 2015-05-01 to 2015-05-31 · 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: 2015-05-01 through 2015-05-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2015-05-01 through 2015-05-31 (31 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 1,284
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: May 2015." Published July 5, 2026. Reporting period: 2015-05-01 to 2015-05-31. 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/may-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: 2015-05-01 – 2015-05-31
Generated: July 5, 2026 · All rights reserved