ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · MARCH 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/march-2016-report
Monthly Traffic Safety Analysis
1,488 CRASHES IN
AUSTIN, TX
MARCH 2016
In March 2016, Austin recorded 1,488 traffic crashes, a 15.7% increase from the 1,286 crashes reported in March 2015. Despite the overall rise in collisions, the number of fatalities decreased from 10 to 6 year-over-year. The total number of injuries also saw an increase, rising from 868 in the prior period to 948 in the current period.
1,488
▲ 15.7%was 1,286
Total Crash Events
6
▼ -40.0%was 10
Persons Killed
948
▲ 9.2%was 868
Persons Injured
8
▼ -27.3%was 11
Fatal Crash Events
Note: "Persons Killed" (6) 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 · 2016-03-01 to 2016-03-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend shows a significant year-over-year increase in traffic collisions in March 2016 compared to the same month in 2015. Total crashes rose by 15.7% from 1,286 to 1,488, and total injuries increased by 9.2% from 868 to 948. In contrast, traffic fatalities saw a notable decrease, falling by 40% from 10 to 6.
Vulnerable Road User Casualties
2
Pedestrians Killed
4
Motorists Killed
0
Pedestrians Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2016-03-01 to 2016-03-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between the two periods. In March 2016, the peak day for crashes was Thursday with 271 incidents, a change from March 2015 when Monday was the peak day with 209 crashes. The peak hour for collisions remained consistent at 5 p.m. in both years, though the number of crashes during that hour was nearly identical, with 107 in 2016 versus 109 in 2015. Crashes during the morning commute hours of 7 a.m. and 8 a.m. were higher in 2016, totaling 150 incidents compared to 117 in the prior year.
Source: Austin Crash Reports · Socrata Open Data · 2016-03-01 to 2016-03-31 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2016-03-01 to 2016-03-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Year-over-year, the severity of crashes decreased proportionally even as the total number of crashes increased. The fatal crash rate fell from 0.86% in March 2015 to 0.54% in March 2016, with the count of fatal crashes dropping from 11 to 8. The proportion of crashes resulting in serious injuries also declined from 3.1% to 2.6%. Conversely, the share of crashes with no reported injuries increased from 46.3% to 49.4% of all incidents.
Severity is per crash event (most severe injury). 8 fatal crash events resulted in 6 persons killed.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2016-03-01 to 2016-03-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2016-03-01 to 2016-03-31 · Most severe injury per crash record
Speed Limit Zones
Crashes shifted across different speed zones year-over-year, with increases in zones of 35 mph or less and 50 mph or more, while decreasing in the 40-45 mph range from 285 to 255 incidents. The distribution of fatal crashes also changed significantly. In March 2015, 9 of the 10 recorded fatal crashes occurred in zones of 45 mph or higher, including 5 in 55 mph zones. In contrast, March 2016 saw fatal crashes spread across lower speed zones, including incidents in 30, 35, and 40 mph zones, and only one fatal crash in a 55 mph zone.
Fatal crashes by zone: 30 mph: 1 of 145 (0.69%) · 35 mph: 1 of 221 (0.452%) · 40 mph: 3 of 88 (3.409%) · 45 mph: 1 of 167 (0.599%) · 55 mph: 1 of 179 (0.559%)
Source: Austin Crash Reports · Socrata Open Data · 2016-03-01 to 2016-03-31 · 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: 2016-03-01 through 2016-03-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2016-03-01 through 2016-03-31 (31 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 1,488
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: March 2016." Published July 5, 2026. Reporting period: 2016-03-01 to 2016-03-31. 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/march-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: 2016-03-01 – 2016-03-31
Generated: July 5, 2026 · All rights reserved