ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · SEPTEMBER 2017
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/september-2017-report
Monthly Traffic Safety Analysis
1,378 CRASHES IN
AUSTIN, TX
SEPTEMBER 2017
In September 2017, Austin recorded 1,378 total traffic crashes, a figure nearly identical to the 1,372 crashes reported in September 2016. Despite the stable number of total incidents, the number of fatalities increased from 6 to 7 year-over-year. This increase was driven by a rise in deaths among motor-vehicle occupants, which doubled from 2 to 4, and pedestrians, which also doubled from 1 to 2.
1,378
▲ 0.4%was 1,372
Total Crash Events
7
▲ 16.7%was 6
Persons Killed
848
▼ -5.9%was 901
Persons Injured
7
▲ 16.7%was 6
Fatal Crash Events
Note: "Persons Killed" (7) counts individual fatalities across all crash events. "Fatal" in the severity table below (7) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2017-09-01 to 2017-09-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The overall trend in crash frequency was stable, with total incidents increasing by just 6, or 0.4%, from September 2016 to September 2017. However, this stability in volume masks a shift in outcomes. While total reported injuries decreased by 5.9% from 901 to 848, the number of traffic fatalities rose from 6 to 7 over the same period.
Vulnerable Road User Casualties
2
Pedestrians Killed
1
Cyclists Killed
4
Motorists Killed
0
Pedestrians Injured
0
Cyclists Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2017-09-01 to 2017-09-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The primary temporal patterns of crashes remained consistent year-over-year, with Friday being the peak day for crashes and 5 p.m. being the peak hour in both periods. However, there was a shift in the weekly distribution of crashes. Crashes on Thursdays decreased from 233 to 189, while crashes on Saturdays increased significantly from 177 to 216.
Source: Austin Crash Reports · Socrata Open Data · 2017-09-01 to 2017-09-30 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2017-09-01 to 2017-09-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes shifted year-over-year, with the fatal crash rate increasing from 0.4% to 0.5% of all incidents. Conversely, the proportion of crashes resulting in non-fatal injuries decreased, with serious injury crashes falling from 2.9% to 2.5% of the total and possible injury crashes dropping from 22.9% to 20.2%. Consequently, the share of crashes involving no injury rose from 45.1% in the prior year to 49.4% in the current period.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2017-09-01 to 2017-09-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2017-09-01 to 2017-09-30 · Most severe injury per crash record
Speed Limit Zones
Year-over-year, crashes shifted toward higher speed zones. Incidents in zones of 35 mph or less decreased from 342 to 326, while crashes in zones of 60 mph or more increased from 191 to 212. Fatal crashes became more frequent in 40-45 mph zones, with 3 fatalities occurring in September 2017 compared to just 1 in September 2016. In contrast, fatalities in 55 mph zones decreased from 2 to 1.
Fatal crashes by zone: 30 mph: 1 of 111 (0.901%) · 40 mph: 1 of 83 (1.205%) · 45 mph: 2 of 148 (1.351%) · 55 mph: 1 of 147 (0.68%) · 60 mph: 1 of 63 (1.587%)
Source: Austin Crash Reports · Socrata Open Data · 2017-09-01 to 2017-09-30 · 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: 2017-09-01 through 2017-09-30
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2017-09-01 through 2017-09-30 (30 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 1,378
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: September 2017." Published July 6, 2026. Reporting period: 2017-09-01 to 2017-09-30. 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/september-2017-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: 2017-09-01 – 2017-09-30
Generated: July 6, 2026 · All rights reserved