ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · JUNE 2020
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/june-2020-report
Monthly Traffic Safety Analysis
863 CRASHES IN
AUSTIN, TX
JUNE 2020
In June 2020, Austin recorded 863 total vehicle crashes, a 36.3% decrease from the 1,355 crashes reported in June 2019. This downward trend was also reflected in the number of injuries, which fell from 870 to 562, a 35.4% drop. The most notable year-over-year shift was the overall reduction in crash volume, though the proportion of crashes resulting in serious injury or death increased.
863
▼ -36.3%was 1,355
Total Crash Events
5
▼ -16.7%was 6
Persons Killed
562
▼ -35.4%was 870
Persons Injured
5
▼ -16.7%was 6
Fatal Crash Events
Note: "Persons Killed" (5) counts individual fatalities across all crash events. "Fatal" in the severity table below (5) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2020-06-01 to 2020-06-30 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Comparing June 2020 to the same month in 2019, traffic safety metrics show a significant downward trend. Total crashes decreased by 36.3%, from 1,355 to 863 incidents. Similarly, the number of persons injured in these crashes fell by 35.4%, while fatalities saw a slight decrease from 6 to 5.
Vulnerable Road User Casualties
1
Pedestrians Killed
3
Motorists Killed
0
Pedestrians Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2020-06-01 to 2020-06-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
The temporal patterns of crashes shifted between June 2019 and June 2020. The peak day for crashes moved from Thursday (208 crashes) in the prior year to Friday (148 crashes) in the current period. The busiest hour for crashes also shifted slightly earlier, from the 5 p.m. hour in 2019 to the 4 p.m. hour in 2020, with crash volume during the peak hour decreasing from 111 to 66.
Source: Austin Crash Reports · Socrata Open Data · 2020-06-01 to 2020-06-30 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2020-06-01 to 2020-06-30 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
Although the total number of crashes decreased year-over-year, the severity of crashes that occurred showed a proportional increase. The fatal crash rate rose from 0.44% in June 2019 to 0.58% in June 2020. The proportion of crashes resulting in a serious injury also increased, from 2.7% to 4.2% of all incidents, while the share of crashes with 'Possible Injury' decreased from 22.3% to 18.9%.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2020-06-01 to 2020-06-30 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2020-06-01 to 2020-06-30 · Most severe injury per crash record
Speed Limit Zones
Crash counts declined across all posted speed limit zones from June 2019 to June 2020. The most significant raw decreases occurred in 45 mph zones (from 179 to 103 crashes) and 35 mph zones (from 199 to 131 crashes). Despite the overall reduction, the distribution of fatal crashes changed, with fatalities in the 35 mph zone increasing from one to two. Fatal crashes also occurred in the 50 mph and 60 mph zones in 2020, where none were recorded in the prior year's period.
Fatal crashes by zone: 35 mph: 2 of 131 (1.527%) · 50 mph: 1 of 47 (2.128%) · 55 mph: 1 of 64 (1.563%) · 60 mph: 1 of 32 (3.125%)
Source: Austin Crash Reports · Socrata Open Data · 2020-06-01 to 2020-06-30 · 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: 2020-06-01 through 2020-06-30
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2020-06-01 through 2020-06-30 (30 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 863
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: June 2020." Published July 6, 2026. Reporting period: 2020-06-01 to 2020-06-30. 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/june-2020-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: 2020-06-01 – 2020-06-30
Generated: July 6, 2026 · All rights reserved