ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · APRIL 2024
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-2024-report
Monthly Traffic Safety Analysis
1,008 CRASHES IN
AUSTIN, TX
APRIL 2024
In April 2024, Austin recorded 1,008 total crashes, a 2.6% decrease from the 1,035 crashes reported in April 2023. While the number of total crashes and fatalities declined, the number of reported injuries increased significantly. Total injuries rose from 680 to 775, a year-over-year increase of nearly 14%.
1,008
▼ -2.6%was 1,035
Total Crash Events
4
▼ -33.3%was 6
Persons Killed
775
▲ 14.0%was 680
Persons Injured
4
▼ -33.3%was 6
Fatal Crash Events
Note: "Persons Killed" (4) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2024-04-01 to 2024-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Overall, total traffic crashes in Austin showed a slight decline in April 2024 compared to the same month in the prior year, falling by 2.6% from 1,035 to 1,008. This downward trend was also reflected in fatalities, which decreased from 6 to 4. However, the number of people injured in crashes rose by 14.0%, from 680 in April 2023 to 775 in April 2024.
Vulnerable Road User Casualties
2
Pedestrians Killed
2
Motorists Killed
0
Pedestrians Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2024-04-01 to 2024-04-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal pattern of crashes shifted between the two periods, with the peak day for collisions moving from Saturday (170 crashes) in April 2023 to Tuesday (168 crashes) in April 2024. The peak hour for crashes remained the 5 PM hour in both periods, though the number of incidents during this hour increased from 86 to 93. This reflects a broader shift from weekend-dominant crashes in the prior year to weekday-dominant crashes in the current period.
Source: Austin Crash Reports · Socrata Open Data · 2024-04-01 to 2024-04-30 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2024-04-01 to 2024-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Comparing crash severity year-over-year, the proportion of the most severe crashes decreased in April 2024. Fatal crashes fell from 6 to 4, representing 0.4% of all crashes compared to 0.6% in the prior year. Similarly, serious injury crashes declined from 35 to 29, with their share dropping from 3.4% to 2.9%. In contrast, the proportion of crashes involving minor or possible injuries increased, with minor injury crashes rising from 19.9% to 22.8% and possible injury crashes increasing from 21.9% to 24.0% of the total.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2024-04-01 to 2024-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2024-04-01 to 2024-04-30 · Most severe injury per crash record
Speed Limit Zones
The distribution of crashes across different speed zones shifted slightly towards higher speeds in April 2024. While crashes in 30-35 mph zones decreased from 275 to 254, incidents in 40-45 mph zones increased from 218 to 247, and crashes in zones 65 mph or higher rose from 184 to 200. The locations of fatal crashes also changed; in April 2023, fatalities occurred in 30, 45, and 55 mph zones, whereas in April 2024, fatal crashes were recorded in 35 mph and 65 mph zones.
Fatal crashes by zone: 35 mph: 1 of 169 (0.592%) · 65 mph: 1 of 152 (0.658%)
Source: Austin Crash Reports · Socrata Open Data · 2024-04-01 to 2024-04-30 · 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: 2024-04-01 through 2024-04-30
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2024-04-01 through 2024-04-30 (30 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 1,008
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 2024." Published July 5, 2026. Reporting period: 2024-04-01 to 2024-04-30. 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-2024-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: 2024-04-01 – 2024-04-30
Generated: July 5, 2026 · All rights reserved