ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · APRIL 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/april-2025-report
Monthly Traffic Safety Analysis
993 CRASHES IN
AUSTIN, TX
APRIL 2025
In April 2025, Austin recorded 993 total traffic crashes, a 1.5% decrease from the 1,008 crashes reported in April 2024. Despite the overall decline in collisions and a 14.5% drop in total injuries from 775 to 663, the most notable shift was an increase in fatalities, which rose from 4 to 6 year-over-year.
993
▼ -1.5%was 1,008
Total Crash Events
6
▲ 50.0%was 4
Persons Killed
663
▼ -14.5%was 775
Persons Injured
6
▲ 50.0%was 4
Fatal Crash Events
Note: "Persons Killed" (6) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2025-04-01 to 2025-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall traffic crash volume in Austin showed a slight decrease in April 2025 compared to the same month in the previous year, with total crashes falling by 1.5% from 1,008 to 993. This downward trend was more pronounced for injuries, which decreased by 14.5% from 775 to 663. However, the number of fatalities increased from 4 in April 2024 to 6 in April 2025.
Vulnerable Road User Casualties
2
Pedestrians Killed
1
Motorists Killed
0
Pedestrians Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2025-04-01 to 2025-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes showed some shifts between April 2024 and April 2025. The peak day for crashes moved from Tuesday (168 crashes) in the prior year to Wednesday (172 crashes) in the current period. While the 5 p.m. hour remained the most frequent time for crashes in both periods, the number of incidents during this peak hour decreased from 93 to 68. Notably, crashes on Mondays decreased from 156 to 99, while Wednesday crashes increased from 134 to 172.
Source: Austin Crash Reports · Socrata Open Data · 2025-04-01 to 2025-04-30 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2025-04-01 to 2025-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
While total crashes declined, the severity profile shifted in April 2025 compared to the previous year. The number of fatal crashes increased from 4 to 6, raising the fatal crash rate from 0.4% to 0.6% of all incidents. Conversely, crashes resulting in serious injuries saw a significant reduction, falling from 29 incidents (2.9% of total) in April 2024 to 16 (1.6% of total) in April 2025. The proportion of crashes involving possible injuries also decreased from 24.0% to 20.5%, while the share of non-injury crashes increased from 42.5% to 47.6%.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2025-04-01 to 2025-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2025-04-01 to 2025-04-30 · Most severe injury per crash record
Speed Limit Zones
The distribution of crashes across different speed zones remained relatively consistent year-over-year, with the largest number of crashes in both periods occurring in 35 mph and 45 mph zones. In April 2025, there was a slight decrease in crashes reported in 50-55 mph zones from 159 to 130, while incidents in zones marked 70 mph or higher increased from 48 to 56. Fatal crashes were recorded across a broader range of speed limits in the current period, with two fatalities in 30 mph zones and two in 60 mph zones, where none were recorded in the prior year's data for April.
Fatal crashes by zone: 30 mph: 2 of 84 (2.381%) · 60 mph: 2 of 69 (2.899%) · 65 mph: 1 of 130 (0.769%) · 70 mph: 1 of 40 (2.5%)
Source: Austin Crash Reports · Socrata Open Data · 2025-04-01 to 2025-04-30 · 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: 2025-04-01 through 2025-04-30
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2025-04-01 through 2025-04-30 (30 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 993
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: April 2025." Published July 5, 2026. Reporting period: 2025-04-01 to 2025-04-30. 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/april-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: 2025-04-01 – 2025-04-30
Generated: July 5, 2026 · All rights reserved