ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · OCTOBER 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/october-2022-report
Monthly Traffic Safety Analysis
1,251 CRASHES IN
AUSTIN, TX
OCTOBER 2022
In October 2022, Austin recorded 1,251 vehicle crashes, a 1.1% increase from the 1,238 crashes in October 2021. While the total number of crashes remained relatively stable, the number of fatalities rose significantly, increasing by 62.5% from 8 in the prior year to 13 in the current period.
1,251
▲ 1.1%was 1,238
Total Crash Events
13
▲ 62.5%was 8
Persons Killed
898
▲ 7.8%was 833
Persons Injured
12
▲ 71.4%was 7
Fatal Crash Events
Note: "Persons Killed" (13) counts individual fatalities across all crash events. "Fatal" in the severity table below (12) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2022-10-01 to 2022-10-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year crash data for October indicates a relatively stable trend in total collision volume, with a 1.1% increase from 1,238 crashes in 2021 to 1,251 in 2022. However, the severity of outcomes worsened, as total injuries increased by 7.8% from 833 to 898, and total fatalities rose from 8 to 13.
Vulnerable Road User Casualties
6
Pedestrians Killed
5
Motorists Killed
0
Pedestrians Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2022-10-01 to 2022-10-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The peak day for crashes shifted from Friday in October 2021 (240 crashes) to Saturday in October 2022 (217 crashes). The peak collision hour also moved later in the afternoon, from 4 p.m. in the prior year (86 crashes) to 5 p.m. in the current period (99 crashes). Crash distribution during the week changed notably, with Monday crashes increasing from 148 to 204 while Friday crashes decreased from 240 to 167 year-over-year.
Source: Austin Crash Reports · Socrata Open Data · 2022-10-01 to 2022-10-31 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2022-10-01 to 2022-10-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The proportion of fatal crashes increased from 0.6% of all crashes (7 incidents) in October 2021 to 1.0% (12 incidents) in October 2022. Crashes resulting in serious injuries also grew as a share of the total, rising from 3.0% (37 crashes) to 3.6% (45 crashes). Conversely, the proportion of crashes with no reported injuries decreased slightly from 46.6% to 45.8%.
Severity is per crash event (most severe injury). 12 fatal crash events resulted in 13 persons killed.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2022-10-01 to 2022-10-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2022-10-01 to 2022-10-31 · Most severe injury per crash record
Speed Limit Zones
The distribution of crashes across speed zones changed between the two periods. Crashes on roads with speed limits of 65 mph or more increased from 182 to 226, while collisions in 40-45 mph zones decreased from 291 to 244. Fatal crashes were recorded in lower speed zones in October 2022, with two fatalities occurring in 30-35 mph zones, where none were reported in the prior year's period. Roadways with a 65 mph speed limit accounted for 3 fatal crashes in both October 2021 and October 2022.
Fatal crashes by zone: 30 mph: 1 of 71 (1.408%) · 35 mph: 1 of 219 (0.457%) · 40 mph: 2 of 74 (2.703%) · 45 mph: 1 of 170 (0.588%) · 55 mph: 1 of 125 (0.8%) · 60 mph: 1 of 46 (2.174%) · 65 mph: 3 of 146 (2.055%)
Source: Austin Crash Reports · Socrata Open Data · 2022-10-01 to 2022-10-31 · 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: 2022-10-01 through 2022-10-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2022-10-01 through 2022-10-31 (31 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 1,251
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: October 2022." Published July 6, 2026. Reporting period: 2022-10-01 to 2022-10-31. 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/october-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: 2022-10-01 – 2022-10-31
Generated: July 6, 2026 · All rights reserved