Monthly Traffic Safety Analysis

970 CRASHES IN
AUSTIN, TX
DECEMBER 2025

All metrics benchmarked againstDecember 2024

In December 2025, Austin recorded 970 total traffic crashes, an 8.1% decrease from the 1,055 crashes documented in December 2024. This downward trend was accompanied by a notable drop in severe outcomes, with traffic fatalities decreasing from 16 to 10 year-over-year. The number of crashes resulting in serious injuries was also cut nearly in half, falling from 27 to 14.

970

-8.1%was 1,055

Total Crash Events

10

-37.5%was 16

Persons Killed

638

-2.6%was 655

Persons Injured

11

-21.4%was 14

Fatal Crash Events

Note: "Persons Killed" (10) counts individual fatalities across all crash events. "Fatal" in the severity table below (11) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Austin Crash Reports · Socrata Open Data · 2025-12-01 to 2025-12-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall traffic safety metrics improved in December 2025 compared to the same month in the prior year. The total number of crashes fell by 8.1%, from 1,055 to 970. This decline was mirrored in crash outcomes, as total fatalities dropped by 37.5% (from 16 to 10) and total injuries decreased from 655 to 638.

Vulnerable Road User Casualties

3

Pedestrians Killed

Prior: 5-40.0%

2

Cyclists Killed

Prior: 0%

5

Motorists Killed

Prior: 9-44.4%

0

Pedestrians Injured

Prior: 00.0%

0

Cyclists Injured

Prior: 00.0%

0

Motorists Injured

Prior: 00.0%

Source: Austin Crash Reports · Socrata Open Data · 2025-12-01 to 2025-12-31 · 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 the two periods. The day with the highest crash volume changed from Friday (169 crashes) in December 2024 to Wednesday (168 crashes) in December 2025. The peak hour for crashes remained consistent at the 6 p.m. hour for both years, although the number of incidents during this hour decreased from 88 to 71.

Source: Austin Crash Reports · Socrata Open Data · 2025-12-01 to 2025-12-31 · Crash date field aggregated by weekday

Source: Austin Crash Reports · Socrata Open Data · 2025-12-01 to 2025-12-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes decreased year-over-year, with the proportion of fatal crashes falling from 1.3% to 1.1% of total incidents. More significantly, the share of crashes involving a serious injury was nearly halved, dropping from 2.6% (27 crashes) in December 2024 to 1.4% (14 crashes) in December 2025. In contrast, the proportion of crashes with minor injuries rose from 20.9% to 23.2%.

Severity is per crash event (most severe injury). 11 fatal crash events resulted in 10 persons killed.

Outcome by Severity (Crash Events)

Fatal11fatal crashes1.1%
-21.4%prior 14
Serious Injury14serious injury crashes1.4%
-48.1%prior 27
Minor Injury225minor injury crashes23.2%
1.8%prior 221
Possible Injury173possible injury crashes17.8%
-10.4%prior 193
Injury76minor injury crashes7.8%
11.8%prior 68
No Injury471no injury crashes48.6%
-11.5%prior 532

Source: Austin Crash Reports · Socrata Open Data · 2025-12-01 to 2025-12-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Austin Crash Reports · Socrata Open Data · 2025-12-01 to 2025-12-31 · Most severe injury per crash record

Speed Limit Zones

Crash locations shifted across different speed zones year-over-year. Incidents in 35 mph zones increased from 156 to 184, making it the most frequent speed zone for crashes in December 2025, while crashes on roads with a 65 mph speed limit decreased from 171 to 138. The distribution of fatal crashes also changed; while the 35, 65, and 70 mph zones each recorded 3 fatal crashes in the prior period, the 40 mph zone saw the highest number of fatal incidents (3) in the current period.

Fatal crashes by zone: 40 mph: 3 of 68 (4.412%) · 45 mph: 2 of 170 (1.176%) · 50 mph: 2 of 40 (5%) · 55 mph: 1 of 75 (1.333%) · 65 mph: 1 of 138 (0.725%) · 70 mph: 1 of 28 (3.571%) · 85 mph: 1 of 1 (100%)

Source: Austin Crash Reports · Socrata Open Data · 2025-12-01 to 2025-12-31 · 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: 2025-12-01 through 2025-12-31
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2025-12-01 through 2025-12-31 (31 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 970

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 2025." Published July 6, 2026. Reporting period: 2025-12-01 to 2025-12-31. 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-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

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