ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · APRIL 2021
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-2021-report
Monthly Traffic Safety Analysis
1,103 CRASHES IN
AUSTIN, TX
APRIL 2021
In April 2021, Austin recorded 1,103 vehicle crashes, a 66.4% increase from the 663 crashes reported in April 2020. This year-over-year surge also saw a rise in total fatalities from 7 to 12. The most significant shift was the overall increase in traffic incidents, reversing the lower volumes seen in the prior year.
1,103
▲ 66.4%was 663
Total Crash Events
12
▲ 71.4%was 7
Persons Killed
721
▲ 77.6%was 406
Persons Injured
12
▲ 71.4%was 7
Fatal Crash Events
Note: "Persons Killed" (12) counts individual fatalities across all crash events. "Fatal" in the severity table below (12) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2021-04-01 to 2021-04-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Traffic crashes in Austin showed a significant upward trend in April 2021 compared to the same month in the previous year. Total crashes increased by 66.4%, from 663 to 1,103. This trend extended to crash outcomes, with total injuries rising by 77.6% and fatalities increasing from 7 to 12.
Vulnerable Road User Casualties
3
Pedestrians Killed
7
Motorists Killed
0
Pedestrians Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2021-04-01 to 2021-04-30 · 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 both consistency and change year-over-year. Thursday remained the peak day for crashes in both April 2020 (117 crashes) and April 2021 (210 crashes). However, the peak hour for collisions shifted slightly earlier, from 5 p.m. in the prior year to 4 p.m. in the current period. Overall, crash volumes were substantially higher across all days and most hours in April 2021.
Source: Austin Crash Reports · Socrata Open Data · 2021-04-01 to 2021-04-30 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2021-04-01 to 2021-04-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Despite a large increase in the total number of crashes, the severity distribution remained relatively stable year-over-year. The fatal crash rate was nearly unchanged, moving from 1.06 to 1.09 fatal crashes per 100 incidents. The proportion of crashes resulting in a fatality was 1.1% in both April 2020 and April 2021. Similarly, the percentages of serious injury (3.5% vs 3.3%) and no-injury crashes (48.4% vs 46.1%) saw only minor shifts between the two periods.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2021-04-01 to 2021-04-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2021-04-01 to 2021-04-30 · Most severe injury per crash record
Speed Limit Zones
Crashes increased across most speed zones in April 2021 compared to the prior year, with the 35 mph zone accounting for the most incidents in both periods. There was a significant increase in crashes on roads with speed limits of 60 mph or higher, more than doubling from 83 to 182 incidents. Fatal crashes were also recorded at higher speeds in 2021, with the 70 mph zone accounting for 4 fatalities and a fatal crash rate of 8.9%, up from zero fatalities in that zone in April 2020.
Fatal crashes by zone: 35 mph: 2 of 155 (1.29%) · 50 mph: 1 of 54 (1.852%) · 60 mph: 2 of 50 (4%) · 65 mph: 2 of 88 (2.273%) · 70 mph: 4 of 45 (8.889%)
Source: Austin Crash Reports · Socrata Open Data · 2021-04-01 to 2021-04-30 · 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: 2021-04-01 through 2021-04-30
- Report generated: July 5, 2026
Data Coverage
- Reporting period: 2021-04-01 through 2021-04-30 (30 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 1,103
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 2021." Published July 5, 2026. Reporting period: 2021-04-01 to 2021-04-30. 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-2021-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: 2021-04-01 – 2021-04-30
Generated: July 5, 2026 · All rights reserved