ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · SEPTEMBER 2022
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-2022-report
Monthly Traffic Safety Analysis
1,201 CRASHES IN
AUSTIN, TX
SEPTEMBER 2022
In September 2022, Austin recorded 1,201 total crashes, a 2.2% increase from the 1,175 crashes reported in September 2021. While total crashes saw a slight rise, the number of injuries increased more significantly by 8.2%, from 816 to 883. Fatalities also increased from 10 to 11 persons killed year-over-year.
1,201
▲ 2.2%was 1,175
Total Crash Events
11
▲ 10.0%was 10
Persons Killed
883
▲ 8.2%was 816
Persons Injured
10
▲ 11.1%was 9
Fatal Crash Events
Note: "Persons Killed" (11) counts individual fatalities across all crash events. "Fatal" in the severity table below (10) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2022-09-01 to 2022-09-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, traffic collisions in Austin showed a slight upward trend in September 2022 compared to the same month in 2021. The total number of crashes increased by 2.2%, from 1,175 to 1,201. This was accompanied by an 8.2% rise in total injuries and a 10% increase in fatalities, with the number of persons killed rising from 10 to 11.
Vulnerable Road User Casualties
5
Pedestrians Killed
5
Motorists Killed
0
Pedestrians Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2022-09-01 to 2022-09-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes remained largely consistent year-over-year. Friday was the peak day for crashes in both September 2022 (225 crashes) and September 2021 (205 crashes), and the 5 PM hour remained the peak time for collisions in both periods. However, the number of crashes occurring on Thursdays increased from 179 to 192, making it the second-busiest day in the current period, while crashes during the 6 PM hour also saw a notable increase from 67 to 85.
Source: Austin Crash Reports · Socrata Open Data · 2022-09-01 to 2022-09-30 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2022-09-01 to 2022-09-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The overall severity of crashes showed a mixed but stable pattern between September 2021 and September 2022. The proportion of fatal crashes remained constant at 0.8% of all incidents, though the absolute count rose from 9 to 10. The share of serious injury crashes decreased slightly from 3.4% to 3.2%. Notably, there was a shift within injury categories, with the proportion of minor injury crashes increasing from 19.9% to 21.7%, while possible injury crashes decreased from 24.5% to 22.6%.
Severity is per crash event (most severe injury). 10 fatal crash events resulted in 11 persons killed.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2022-09-01 to 2022-09-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2022-09-01 to 2022-09-30 · Most severe injury per crash record
Speed Limit Zones
In September 2022, there was a notable increase in crashes occurring in lower speed zones, with collisions on roads posted at 35 mph or less rising from 287 to 324. A significant change occurred in the distribution of fatal crashes: in September 2021, the 7 fatal crashes with recorded speed limits were spread across seven different speed zones. In contrast, in September 2022, 4 of the 6 fatal crashes with recorded speed limits occurred in zones posted at 55 mph.
Fatal crashes by zone: 35 mph: 1 of 197 (0.508%) · 55 mph: 4 of 121 (3.306%) · 70 mph: 1 of 64 (1.563%)
Source: Austin Crash Reports · Socrata Open Data · 2022-09-01 to 2022-09-30 · 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: 2022-09-01 through 2022-09-30
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2022-09-01 through 2022-09-30 (30 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 1,201
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 2022." Published July 6, 2026. Reporting period: 2022-09-01 to 2022-09-30. 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-2022-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: 2022-09-01 – 2022-09-30
Generated: July 6, 2026 · All rights reserved