Monthly Traffic Safety Analysis

1,078 CRASHES IN
AUSTIN, TX
NOVEMBER 2023

All metrics benchmarked againstNovember 2022

In November 2023, Austin recorded 1,078 total vehicle crashes, a 6.3% decrease from the 1,151 crashes reported in November 2022. While total injuries saw a slight increase of 1.8% from 662 to 674, the most notable year-over-year change was a 45.5% reduction in traffic fatalities, which fell from 11 in the prior period to 6 in the current period.

1,078

▼ -6.3%was 1,151

Total Crash Events

6

▼ -45.5%was 11

Persons Killed

674

▲ 1.8%was 662

Persons Injured

6

▼ -40.0%was 10

Fatal Crash Events

Note: "Persons Killed" (6) counts individual fatalities across all crash events. "Fatal" in the severity table below (6) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Austin Crash Reports · Socrata Open Data · 2023-11-01 to 2023-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall traffic collisions in Austin showed a downward trend in November 2023 compared to the same month in the previous year, with total crashes falling by 6.3% from 1,151 to 1,078. This decrease was accompanied by a significant drop in fatalities, which declined from 11 to 6. However, the total number of injuries reported saw a minor increase of 1.8%, rising from 662 to 674.

Vulnerable Road User Casualties

3

Pedestrians Killed

Prior: 4↓-25.0%

2

Motorists Killed

Prior: 6↓-66.7%

0

Pedestrians Injured

Prior: 0→0.0%

0

Motorists Injured

Prior: 0→0.0%

Source: Austin Crash Reports · Socrata Open Data · 2023-11-01 to 2023-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes remained consistent year-over-year, with Wednesday being the peak day for collisions in both November 2023 (194 crashes) and November 2022 (185 crashes). Similarly, the 6 p.m. hour was the single hour with the most crashes in both periods. Despite an overall decrease in total crashes, the number of collisions during the peak hour increased from 84 to 109 year-over-year.

Source: Austin Crash Reports · Socrata Open Data · 2023-11-01 to 2023-11-30 · Crash date field aggregated by weekday

Source: Austin Crash Reports · Socrata Open Data · 2023-11-01 to 2023-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes decreased in November 2023 compared to the prior year, with the fatal crash rate falling from 0.87% to 0.56%. The number of fatal crashes dropped from 10 to 6, and crashes resulting in serious injury also saw a slight decline from 25 to 23. The overall proportion of crashes involving any level of injury (Serious, Minor, or Possible) remained stable, accounting for 42.8% of crashes in the current period versus 42.6% in the prior period.

Outcome by Severity (Crash Events)

Fatal6fatal crashes0.6%
↓-40.0%prior 10
Serious Injury23serious injury crashes2.1%
↓-8.0%prior 25
Minor Injury218minor injury crashes20.2%
↓-0.9%prior 220
Possible Injury220possible injury crashes20.4%
↓-10.2%prior 245
Injury71minor injury crashes6.6%
↓-9.0%prior 78
No Injury540no injury crashes50.1%
↓-5.8%prior 573

Source: Austin Crash Reports · Socrata Open Data · 2023-11-01 to 2023-11-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Austin Crash Reports · Socrata Open Data · 2023-11-01 to 2023-11-30 · Most severe injury per crash record

Speed Limit Zones

In both November 2023 and November 2022, the 30-35 mph speed zones saw the highest number of crashes, with counts increasing from 256 to 294 year-over-year. Crashes in 40-45 mph zones also increased from 209 to 243. While fatal crashes decreased overall, their distribution shifted; in November 2023, three of the five fatal crashes with a recorded speed limit occurred in 65 mph zones. In contrast, the prior period's fatal crashes were more distributed across zones, including three in 45 mph zones and three in 55 mph zones.

Fatal crashes by zone: 35 mph: 1 of 191 (0.524%) · 45 mph: 1 of 161 (0.621%) · 65 mph: 3 of 146 (2.055%)

Source: Austin Crash Reports · Socrata Open Data · 2023-11-01 to 2023-11-30 · 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: 2023-11-01 through 2023-11-30
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2023-11-01 through 2023-11-30 (30 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 1,078

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: November 2023." Published July 6, 2026. Reporting period: 2023-11-01 to 2023-11-30. 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/november-2023-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

Austin, TX Crash Report — November 2023 | ThatCarHitMe.com