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YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · NOVEMBER 2014
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/november-2014-report
Monthly Traffic Safety Analysis
1,216 CRASHES IN
AUSTIN, TX
NOVEMBER 2014
In November 2014, Austin recorded 1,216 total vehicle crashes, a 4.4% increase from the 1,165 crashes documented in November 2013. During this same period, the number of fatalities resulting from these crashes rose from 7 to 8. A notable year-over-year shift occurred in the temporal pattern of collisions, with the peak day for crashes moving from Friday in 2013 to Saturday in 2014.
1,216
▲ 4.4%was 1,165
Total Crash Events
8
▲ 14.3%was 7
Persons Killed
775
▼ -6.2%was 826
Persons Injured
8
▲ 33.3%was 6
Fatal Crash Events
Note: "Persons Killed" (8) 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 · 2014-11-01 to 2014-11-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year data for November indicates a rising trend in the total number of crashes, with a 4.4% increase from 1,165 in 2013 to 1,216 in 2014. While total crashes and fatalities (from 7 to 8) increased, the number of reported injuries decreased by 6.2%, falling from 826 to 775. This suggests a mixed trend in overall crash outcomes for the month.
Vulnerable Road User Casualties
3
Pedestrians Killed
3
Motorists Killed
0
Pedestrians Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2014-11-01 to 2014-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Comparing temporal patterns, the peak day for crashes shifted from Friday in November 2013, which saw 266 crashes, to Saturday in November 2014, with 209 crashes. While the peak day changed, the peak hour for collisions remained the 6 p.m. hour for both periods. The number of crashes during this peak hour saw an increase from 106 in the prior year to 119 in the current year.
Source: Austin Crash Reports · Socrata Open Data · 2014-11-01 to 2014-11-30 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2014-11-01 to 2014-11-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes shifted slightly between November 2013 and November 2014. The number of fatal crashes increased from 6 to 8, raising the fatal crash rate from 0.52% to 0.66% of all incidents. While fatal crashes became proportionally more frequent, the share of crashes involving serious injuries decreased from 3.3% to 3.0%. Concurrently, the proportion of crashes resulting in no injury rose from 47.3% to 50.2% of all incidents.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2014-11-01 to 2014-11-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2014-11-01 to 2014-11-30 · Most severe injury per crash record
Speed Limit Zones
A comparison of crashes by posted speed limit indicates a shift toward mid-range speed zones. In November 2014, crashes in zones between 40 and 55 mph increased to 445 incidents from 380 in the prior year. Conversely, collisions in both lower speed zones (35 mph and under) and higher speed zones (60 mph and over) saw a decrease. Fatal crashes were recorded across a wider range of speed limits in 2014, with one fatality occurring in a 25 mph zone, whereas the lowest speed zone with a fatality in 2013 was 30 mph.
Fatal crashes by zone: 25 mph: 1 of 21 (4.762%) · 30 mph: 1 of 137 (0.73%) · 35 mph: 1 of 182 (0.549%) · 40 mph: 1 of 95 (1.053%) · 55 mph: 1 of 135 (0.741%) · 65 mph: 1 of 55 (1.818%)
Source: Austin Crash Reports · Socrata Open Data · 2014-11-01 to 2014-11-30 · 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: 2014-11-01 through 2014-11-30
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2014-11-01 through 2014-11-30 (30 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 1,216
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: November 2014." Published July 5, 2026. Reporting period: 2014-11-01 to 2014-11-30. 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/november-2014-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: 2014-11-01 – 2014-11-30
Generated: July 5, 2026 · All rights reserved