ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · JULY 2025
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/july-2025-report
Monthly Traffic Safety Analysis
925 CRASHES IN
AUSTIN, TX
JULY 2025
In July 2025, Austin recorded 925 total traffic crashes, a 3.2% decrease from the 956 crashes reported in July 2024. While total crashes and fatalities (9, down from 11) saw a modest decline, the most significant year-over-year change was a sharp reduction in serious injuries, which fell from 43 to 22. Conversely, pedestrian fatalities increased from 3 in the prior period to 5 in the current period.
925
▼ -3.2%was 956
Total Crash Events
9
▼ -18.2%was 11
Persons Killed
600
▼ -5.7%was 636
Persons Injured
9
Fatal Crash Events
Note: "Persons Killed" (9) counts individual fatalities across all crash events. "Fatal" in the severity table below (9) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2025-07-01 to 2025-07-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, key traffic safety metrics in Austin showed a downward trend in July 2025 compared to the same month in 2024. Total crashes decreased by 3.2%, from 956 to 925. Similarly, the number of people injured in these incidents fell by 5.7% from 636 to 600, and total fatalities declined from 11 to 9.
Vulnerable Road User Casualties
5
Pedestrians Killed
1
Cyclists Killed
2
Motorists Killed
0
Pedestrians Injured
0
Cyclists Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2025-07-01 to 2025-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The timing of crashes showed some shifts between July 2024 and July 2025. The peak day for crashes moved from Wednesday (145 crashes) in the prior year to Thursday (177 crashes) in the current period. The busiest hour for collisions shifted one hour earlier, from 5 p.m. in 2024 (78 crashes) to 4 p.m. in 2025 (73 crashes). Crash volumes in the current period were more concentrated on Thursday and Friday, whereas they were more evenly distributed across the weekdays in the prior year.
Source: Austin Crash Reports · Socrata Open Data · 2025-07-01 to 2025-07-31 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2025-07-01 to 2025-07-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While the number of fatal crashes remained constant at 9 for both periods, the proportion of serious injury crashes saw a significant decrease, falling from 4.5% of all crashes in July 2024 to 2.4% in July 2025. This corresponds to a drop from 43 to 22 serious injury incidents. Consequently, the share of crashes resulting in no injury increased from 47.1% to 48.9% year-over-year, and the proportion of crashes involving minor or possible injuries remained relatively stable at approximately 41%.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2025-07-01 to 2025-07-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2025-07-01 to 2025-07-31 · Most severe injury per crash record
Speed Limit Zones
Year-over-year data shows a shift in the distribution of crashes across different speed zones. Crashes in 30-45 mph zones decreased, while incidents in 50-60 mph zones increased from 191 to 223. The location of the 9 fatal crashes also shifted; in July 2024, a significant portion occurred in higher speed zones, including 3 fatal crashes in 65 mph zones. In contrast, July 2025 saw fatal crashes concentrated in mid-range speed zones, with 8 of the 9 fatal crashes occurring on roads with posted limits between 30 and 55 mph.
Fatal crashes by zone: 30 mph: 1 of 61 (1.639%) · 35 mph: 1 of 147 (0.68%) · 45 mph: 3 of 151 (1.987%) · 50 mph: 2 of 63 (3.175%) · 55 mph: 2 of 82 (2.439%)
Source: Austin Crash Reports · Socrata Open Data · 2025-07-01 to 2025-07-31 · 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: 2025-07-01 through 2025-07-31
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2025-07-01 through 2025-07-31 (31 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 925
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: July 2025." Published July 5, 2026. Reporting period: 2025-07-01 to 2025-07-31. 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/july-2025-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: 2025-07-01 – 2025-07-31
Generated: July 5, 2026 · All rights reserved