ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · FEBRUARY 2023
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/february-2023-report
Monthly Traffic Safety Analysis
1,028 CRASHES IN
AUSTIN, TX
FEBRUARY 2023
In February 2023, Austin recorded 1,028 total crashes, a 6.1% decrease from the 1,095 crashes reported in February 2022. During this period, total traffic fatalities also declined from 10 to 8. The most significant change in collision dynamics was a 36.3% reduction in single-vehicle crashes where the vehicle was going straight, which fell from 300 incidents in 2022 to 191 in 2023.
1,028
▼ -6.1%was 1,095
Total Crash Events
8
▼ -20.0%was 10
Persons Killed
706
▲ 1.1%was 698
Persons Injured
8
▼ -20.0%was 10
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 · 2023-02-01 to 2023-02-28 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic safety trends in Austin showed a general improvement in February 2023 compared to the same month in 2022. The total number of crashes decreased by 6.1%, from 1,095 to 1,028, and the number of traffic fatalities fell by 20% from 10 to 8. In contrast, the total number of people injured saw a slight increase of 1.1%, rising from 698 to 706.
Vulnerable Road User Casualties
2
Pedestrians Killed
1
Cyclists Killed
5
Motorists Killed
0
Pedestrians Injured
0
Cyclists Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2023-02-01 to 2023-02-28 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed some shifts between February 2022 and February 2023. The peak day for collisions moved from Thursday (179 crashes) in 2022 to Friday (188 crashes) in 2023. The 5 p.m. hour remained the most frequent time for crashes in both periods, though the number of incidents during that hour decreased from 77 to 71 year-over-year.
Source: Austin Crash Reports · Socrata Open Data · 2023-02-01 to 2023-02-28 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2023-02-01 to 2023-02-28 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes in Austin trended slightly less severe in February 2023 compared to the prior year. The fatal crash rate, as a percentage of all collisions, decreased from 0.91% to 0.78%. The proportion of crashes resulting in serious injuries also fell from 3.7% to 3.2%. Meanwhile, the share of no-injury crashes remained nearly unchanged, accounting for 47.9% of incidents compared to 48.0% in the previous year.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2023-02-01 to 2023-02-28 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2023-02-01 to 2023-02-28 · Most severe injury per crash record
Speed Limit Zones
Crash distribution across speed zones shifted in February 2023, with fewer incidents occurring at the highest and lowest speed limits compared to February 2022. Collisions in zones 65 mph or higher decreased from 201 to 167, and crashes in zones 25 mph or less fell from 30 to 24. Most notably, fatalities in the highest speed zones (65+ mph) dropped from 5 to 2. Conversely, one fatal crash was recorded in a 25 mph zone in 2023, a category that had zero fatalities in the prior period.
Fatal crashes by zone: 25 mph: 1 of 15 (6.667%) · 35 mph: 1 of 176 (0.568%) · 40 mph: 1 of 59 (1.695%) · 45 mph: 1 of 135 (0.741%) · 50 mph: 1 of 51 (1.961%) · 55 mph: 1 of 106 (0.943%) · 65 mph: 1 of 113 (0.885%) · 75 mph: 1 of 16 (6.25%)
Source: Austin Crash Reports · Socrata Open Data · 2023-02-01 to 2023-02-28 · 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: 2023-02-01 through 2023-02-28
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2023-02-01 through 2023-02-28 (28 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 1,028
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: February 2023." Published July 6, 2026. Reporting period: 2023-02-01 to 2023-02-28. 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/february-2023-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: 2023-02-01 – 2023-02-28
Generated: July 6, 2026 · All rights reserved