ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · 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/2023-annual-report
Yearly Traffic Safety Analysis
13,040 CRASHES IN
AUSTIN, TX
2023
In 2023, Austin recorded 13,040 total vehicle crashes, a 4.6% decrease from the 13,664 crashes in 2022. The most significant year-over-year change was a 23.1% reduction in traffic fatalities, which fell from 117 in the prior period to 90 in the current period. Total injuries also declined by 5.2%, from 9,139 to 8,661.
13,040
▼ -4.6%was 13,664
Total Crash Events
90
▼ -23.1%was 117
Persons Killed
8,661
▼ -5.2%was 9,139
Persons Injured
93
▼ -18.4%was 114
Fatal Crash Events
Note: "Persons Killed" (90) counts individual fatalities across all crash events. "Fatal" in the severity table below (93) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2023-01-01 to 2023-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
The data indicates a downward trend in traffic incidents year-over-year. Total crashes decreased by 4.6% from 13,664 to 13,040, and total injuries fell by 5.2% from 9,139 to 8,661. Fatalities saw the largest decline, dropping 23.1% from 117 in 2022 to 90 in 2023, signaling a reduction in both the frequency and severity of crashes.
Vulnerable Road User Casualties
38
Pedestrians Killed
6
Cyclists Killed
36
Motorists Killed
0
Pedestrians Injured
0
Cyclists Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2023-01-01 to 2023-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal distribution of crashes remained consistent between the two periods. Friday was the peak day for crashes in both 2023 (2,169 crashes) and 2022 (2,206 crashes). Similarly, the 5 PM hour was the peak time for collisions in both years, accounting for 974 crashes in 2023 and 997 in 2022, reflecting a slight reduction in volume during these peak times.
Source: Austin Crash Reports · Socrata Open Data · 2023-01-01 to 2023-12-31 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2023-01-01 to 2023-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes lessened in 2023 compared to the prior year. The number of fatal crashes decreased from 114 to 93, and serious injury crashes fell from 461 to 405. Consequently, the proportion of fatal crashes dropped from 0.8% to 0.7% of all incidents, and serious injury crashes declined from 3.4% to 3.1%. Crashes resulting in no injury represented a slightly larger share of the total, increasing from 47.1% to 47.6%.
Severity is per crash event (most severe injury). 93 fatal crash events resulted in 90 persons killed.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2023-01-01 to 2023-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2023-01-01 to 2023-12-31 · Most severe injury per crash record
Speed Limit Zones
The overall distribution of crashes across different speed zones was similar year-over-year, with 35 mph zones seeing the most incidents in both periods (2,256 in 2023 vs. 2,147 in 2022). However, there was a notable shift in the location of fatal crashes. The number of fatal incidents in 55 mph zones decreased from 21 to 12, and those in 65 mph zones fell from 18 to 13. In contrast, zones with 45 mph speed limits saw a slight increase in fatal crashes from 15 to 16.
Fatal crashes by zone: 25 mph: 3 of 283 (1.06%) · 30 mph: 3 of 1,108 (0.271%) · 35 mph: 10 of 2,256 (0.443%) · 40 mph: 8 of 872 (0.917%) · 45 mph: 16 of 1,963 (0.815%) · 50 mph: 6 of 671 (0.894%) · 55 mph: 12 of 1,351 (0.888%) · 60 mph: 3 of 746 (0.402%) · 65 mph: 13 of 1,563 (0.832%) · 70 mph: 5 of 527 (0.949%) · 75 mph: 1 of 164 (0.61%) · 80 mph: 1 of 9 (11.111%)
Source: Austin Crash Reports · Socrata Open Data · 2023-01-01 to 2023-12-31 · 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: 2023-01-01 through 2023-12-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2023-01-01 through 2023-12-31 (365 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 13,040
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: 2023." Published July 5, 2026. Reporting period: 2023-01-01 to 2023-12-31. 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/2023-annual-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: 2023-01-01 – 2023-12-31
Generated: July 5, 2026 · All rights reserved