ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · APRIL 2016
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/april-2016-report
Monthly Traffic Safety Analysis
1,457 CRASHES IN
AUSTIN, TX
APRIL 2016
In April 2016, Austin recorded 1,457 total vehicle crashes, a 17% increase from the 1,245 crashes reported in April 2015. While total fatalities decreased from 6 to 5, the number of injuries rose from 793 to 928, mirroring the overall increase in crash volume. The most significant year-over-year change was the overall rise in both total crashes and total injuries.
1,457
▲ 17.0%was 1,245
Total Crash Events
5
▼ -16.7%was 6
Persons Killed
928
▲ 17.0%was 793
Persons Injured
5
▼ -16.7%was 6
Fatal Crash Events
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2016-04-01 to 2016-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year data for April indicates an upward trend in crash incidents in Austin. Total crashes increased by 17% from 1,245 in April 2015 to 1,457 in April 2016. Similarly, the number of persons injured rose by 17% from 793 to 928, while fatalities saw a slight decrease from 6 to 5.
Vulnerable Road User Casualties
1
Pedestrians Killed
0
Pedestrians Injured
Source: Austin Crash Reports · Socrata Open Data · 2016-04-01 to 2016-04-30 · 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 shifts between April 2015 and April 2016. The peak day for crashes moved from Thursday (216 crashes) in the prior year to Friday (255 crashes) in the current year. While the 5 p.m. hour remained the peak time for collisions in both periods, the number of crashes during that hour decreased from 123 to 114. The data for April 2016 also indicates a higher concentration of crashes on Friday and Saturday, with 255 and 251 incidents respectively.
Source: Austin Crash Reports · Socrata Open Data · 2016-04-01 to 2016-04-30 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2016-04-01 to 2016-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Comparing crash severity, the fatal crash rate decreased from 0.48% in April 2015 to 0.34% in April 2016. The proportion of crashes resulting in serious injuries also saw a slight decline from 3.0% to 2.7% of all crashes. Conversely, the share of crashes categorized as 'Possible Injury' increased from 21.4% to 23.3%, and 'No Injury' crashes grew from 47.1% to 49.8% of the total.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2016-04-01 to 2016-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2016-04-01 to 2016-04-30 · Most severe injury per crash record
Speed Limit Zones
The distribution of crashes by speed limit showed an increase in volume across most zones, consistent with the overall trend. Crashes in the 35 mph zone increased from 181 to 261, representing a larger share of all speed-zoned crashes (22.9% in 2016 vs. 18.3% in 2015). A notable shift occurred in the location of fatal crashes; in April 2015, all 6 fatal crashes with recorded speed limits were in zones of 45 mph or higher. In contrast, in April 2016, the 4 fatal crashes with speed data occurred in lower speed zones, including 35 mph, 40 mph, and 45 mph.
Fatal crashes by zone: 35 mph: 1 of 261 (0.383%) · 40 mph: 2 of 94 (2.128%) · 45 mph: 1 of 183 (0.546%)
Source: Austin Crash Reports · Socrata Open Data · 2016-04-01 to 2016-04-30 · 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: 2016-04-01 through 2016-04-30
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2016-04-01 through 2016-04-30 (30 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 1,457
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: April 2016." Published July 6, 2026. Reporting period: 2016-04-01 to 2016-04-30. 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/april-2016-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: 2016-04-01 – 2016-04-30
Generated: July 6, 2026 · All rights reserved