Monthly Traffic Safety Analysis

1,364 CRASHES IN
AUSTIN, TX
NOVEMBER 2019

All metrics benchmarked againstNovember 2018

In November 2019, Austin recorded 1,364 motor vehicle crashes, a 1.5% increase from the 1,344 crashes reported in November 2018. While total fatalities remained unchanged at 8 for both periods, the number of injuries rose by 7.1% from 763 to 817. A notable year-over-year change was the 55.6% increase in crashes involving pedestrians, which rose from 27 in the prior period to 42 in the current period.

1,364

▲ 1.5%was 1,344

Total Crash Events

8

Persons Killed

817

▲ 7.1%was 763

Persons Injured

8

Fatal Crash Events

Note: "Persons Killed" (8) counts individual fatalities across all crash events. "Fatal" in the severity table below (8) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Austin Crash Reports · Socrata Open Data · 2019-11-01 to 2019-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall crash volume in Austin showed a slight increase in November 2019 compared to the previous year, rising 1.5% from 1,344 to 1,364 incidents. While the number of fatalities was stable at 8 in both periods, the number of reported injuries grew by 7.1%, from 763 to 817. This indicates a minor rise in crash frequency alongside a more pronounced increase in injury outcomes.

Vulnerable Road User Casualties

3

Pedestrians Killed

Prior: 4↓-25.0%

3

Motorists Killed

Prior: 3→0.0%

0

Pedestrians Injured

Prior: 0→0.0%

0

Motorists Injured

Prior: 0→0.0%

Source: Austin Crash Reports · Socrata Open Data · 2019-11-01 to 2019-11-30 · 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 largely consistent year-over-year. Friday was the peak day for crashes in both November 2019 (282 crashes) and November 2018 (234 crashes), and the 6 PM hour was the peak hour in both periods. However, crashes during the 6 PM peak hour decreased from 125 to 107. A shift was observed in weekend versus weekday totals, with weekend (Saturday-Sunday) crashes increasing from 328 to 356, while weekday (Monday-Friday) crashes saw a slight decrease from 1,016 to 1,008.

Source: Austin Crash Reports · Socrata Open Data · 2019-11-01 to 2019-11-30 · Crash date field aggregated by weekday

Source: Austin Crash Reports · Socrata Open Data · 2019-11-01 to 2019-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The number of fatal crashes remained unchanged at 8 in both November 2019 and November 2018, with the fatal crash rate holding steady at approximately 0.6%. Crashes resulting in serious injuries decreased from 36 to 32, but there was a notable increase in crashes classified with 'Possible Injury,' which rose from 222 to 276. This shift contributed to an overall increase in total persons injured from 763 to 817 year-over-year, even as the proportion of no-injury crashes decreased from 52.3% to 49.9% of all incidents.

Outcome by Severity (Crash Events)

Fatal8fatal crashes0.6%
→0.0%prior 8
Serious Injury32serious injury crashes2.3%
↓-11.1%prior 36
Minor Injury272minor injury crashes19.9%
↓-2.5%prior 279
Possible Injury276possible injury crashes20.2%
↑24.3%prior 222
Injury95minor injury crashes7%
↓-1.0%prior 96
No Injury681no injury crashes49.9%
↓-3.1%prior 703

Source: Austin Crash Reports · Socrata Open Data · 2019-11-01 to 2019-11-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Austin Crash Reports · Socrata Open Data · 2019-11-01 to 2019-11-30 · Most severe injury per crash record

Speed Limit Zones

The distribution of crashes across speed zones shifted between the two periods. In November 2019, there was an increase in crashes in 40-45 mph zones (from 203 to 252) and 50-60 mph zones (from 203 to 220). Conversely, collisions in the highest speed zones (65 mph or more) decreased from 164 to 131. In November 2019, the highest number of fatal crashes (3) occurred in 45 mph zones, whereas in November 2018, fatalities were more evenly distributed with one fatal crash each across several higher speed zones.

Fatal crashes by zone: 35 mph: 2 of 190 (1.053%) · 45 mph: 3 of 171 (1.754%) · 55 mph: 1 of 106 (0.943%) · 70 mph: 1 of 34 (2.941%)

Source: Austin Crash Reports · Socrata Open Data · 2019-11-01 to 2019-11-30 · 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: 2019-11-01 through 2019-11-30
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2019-11-01 through 2019-11-30 (30 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 1,364

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 2019." Published July 5, 2026. Reporting period: 2019-11-01 to 2019-11-30. 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-2019-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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Austin, TX Crash Report — November 2019 | ThatCarHitMe.com