ThatCarHitMe.com
An Injuria.ai Company
YEAR-OVER-YEAR CRASH REPORT · AUSTIN, TX · DECEMBER 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/december-2024-report
Monthly Traffic Safety Analysis
1,055 CRASHES IN
AUSTIN, TX
DECEMBER 2024
In December 2024, there were 1,055 total crashes in Austin, a 1.7% increase from the 1,037 crashes recorded in December 2023. The most significant year-over-year change was a 60% increase in total fatalities, which rose from 10 to 16. The number of fatal crashes also increased from 9 to 14 during the same period.
1,055
▲ 1.7%was 1,037
Total Crash Events
16
▲ 60.0%was 10
Persons Killed
655
▲ 1.1%was 648
Persons Injured
14
▲ 55.6%was 9
Fatal Crash Events
Note: "Persons Killed" (16) counts individual fatalities across all crash events. "Fatal" in the severity table below (14) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.
Source: Austin Crash Reports · Socrata Open Data · 2024-12-01 to 2024-12-31 · Aggregate counts from crash, person, and vehicle records
Trend Summary
Year-over-year data indicates a slight increase in overall crash volume for December. Total crashes rose by 1.7%, from 1,037 in December 2023 to 1,055 in December 2024. This trend is mirrored by a 1.1% increase in total injuries and a more substantial 60% rise in fatalities.
Vulnerable Road User Casualties
5
Pedestrians Killed
9
Motorists Killed
0
Pedestrians Injured
0
Motorists Injured
Source: Austin Crash Reports · Socrata Open Data · 2024-12-01 to 2024-12-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)
When Crashes Happen
Temporal crash patterns showed some consistency and some shifts between December 2023 and December 2024. Friday remained the peak day for crashes in both periods, although the total count on Fridays decreased from 212 to 169. The peak hour for collisions was also unchanged at 6 PM, but the number of crashes during this hour increased from 75 to 88. Overall, the daily distribution of crashes became more uniform in December 2024 compared to the previous year, which had a pronounced spike on Fridays.
Source: Austin Crash Reports · Socrata Open Data · 2024-12-01 to 2024-12-31 · Crash date field aggregated by weekday
Source: Austin Crash Reports · Socrata Open Data · 2024-12-01 to 2024-12-31 · Crash time field aggregated by hour (0-23)
Crash Severity Breakdown
The severity of crashes increased year-over-year. The number of fatal crashes rose from 9 in December 2023 to 14 in December 2024, with the corresponding fatal crash rate increasing from 0.87 to 1.33 per 100 crashes. While the proportion of 'Possible Injury' crashes decreased from 21.0% to 18.3%, the share of 'Serious Injury' crashes remained stable at approximately 2.5% and 'Minor Injury' crashes saw a slight increase from 20.0% to 20.9%.
Severity is per crash event (most severe injury). 14 fatal crash events resulted in 16 persons killed.
Outcome by Severity (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2024-12-01 to 2024-12-31 · KABCO injury classification scale
Severity Distribution (Crash Events)
Source: Austin Crash Reports · Socrata Open Data · 2024-12-01 to 2024-12-31 · Most severe injury per crash record
Speed Limit Zones
A comparison of crashes by posted speed limit shows a shift towards higher-speed roadways. While crashes in 30-45 mph zones decreased, collisions in zones with speed limits of 65 mph or higher increased from 173 to 222 year-over-year. The number of fatal crashes in these high-speed zones also rose, with the 65 mph zone seeing fatalities increase from 1 to 3 and the 70 mph zone seeing fatalities increase from 1 to 3. Consequently, the fatality rate for crashes in 70 mph zones rose from 2.8% to 8.3%.
Fatal crashes by zone: 35 mph: 3 of 156 (1.923%) · 40 mph: 1 of 74 (1.351%) · 45 mph: 1 of 164 (0.61%) · 55 mph: 1 of 104 (0.962%) · 60 mph: 1 of 71 (1.408%) · 65 mph: 3 of 171 (1.754%) · 70 mph: 3 of 36 (8.333%)
Source: Austin Crash Reports · Socrata Open Data · 2024-12-01 to 2024-12-31 · 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: 2024-12-01 through 2024-12-31
- Report generated: July 6, 2026
Data Coverage
- Reporting period: 2024-12-01 through 2024-12-31 (31 days)
- Geographic scope: Austin, TX
- Total crash records analyzed: 1,055
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: December 2024." Published July 6, 2026. Reporting period: 2024-12-01 to 2024-12-31. 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/december-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: 2024-12-01 – 2024-12-31
Generated: July 6, 2026 · All rights reserved