Monthly Traffic Safety Analysis

1,121 CRASHES IN
AUSTIN, TX
NOVEMBER 2020

All metrics benchmarked againstNovember 2019

In November 2020, Austin recorded 1,121 total vehicle crashes, a 17.8% decrease from the 1,364 crashes reported in November 2019. This overall reduction in collisions was accompanied by a significant drop in traffic fatalities. The number of people killed in crashes fell from 8 in the prior period to 3 in the current period, representing a 62.5% year-over-year decrease.

1,121

▼ -17.8%was 1,364

Total Crash Events

3

▼ -62.5%was 8

Persons Killed

654

▼ -20.0%was 817

Persons Injured

3

▼ -62.5%was 8

Fatal Crash Events

Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (3) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Austin Crash Reports · Socrata Open Data · 2020-11-01 to 2020-11-30 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Crash data for November 2020 indicates a downward trend in traffic collisions compared to the same month in 2019. Total crashes fell by 17.8%, from 1,364 to 1,121. Similarly, the number of injuries decreased by 19.9% from 817 to 654, and total fatalities dropped from 8 to 3.

Vulnerable Road User Casualties

2

Pedestrians Killed

Prior: 3↓-33.3%

1

Motorists Killed

Prior: 3↓-66.7%

0

Pedestrians Injured

Prior: 0→0.0%

0

Motorists Injured

Prior: 0→0.0%

Source: Austin Crash Reports · Socrata Open Data · 2020-11-01 to 2020-11-30 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes showed some consistency year-over-year, with Friday remaining the peak day for collisions in both November 2019 (282 crashes) and November 2020 (184 crashes). The evening commute hour of 6 p.m. was also the peak hour in both periods, though the volume dropped from 107 to 86 crashes. While overall crash counts were down, Sunday saw an increase in collisions, rising from 134 in the prior period to 181 in the current period.

Source: Austin Crash Reports · Socrata Open Data · 2020-11-01 to 2020-11-30 · Crash date field aggregated by weekday

Source: Austin Crash Reports · Socrata Open Data · 2020-11-01 to 2020-11-30 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

The severity of crashes decreased from November 2019 to November 2020. The number of fatal crashes dropped from 8 to 3, and their proportion of all crashes fell from 0.6% to 0.3%. While the count of serious injury crashes saw a slight decline from 32 to 30, their share of total crashes increased from 2.3% to 2.7%. The share of 'No Injury' crashes rose slightly to 50.5% of all incidents in the current period, up from 49.9% previously.

Outcome by Severity (Crash Events)

Fatal3fatal crashes0.3%
↓-62.5%prior 8
Serious Injury30serious injury crashes2.7%
↓-6.3%prior 32
Minor Injury222minor injury crashes19.8%
↓-18.4%prior 272
Possible Injury201possible injury crashes17.9%
↓-27.2%prior 276
Injury99minor injury crashes8.8%
↑4.2%prior 95
No Injury566no injury crashes50.5%
↓-16.9%prior 681

Source: Austin Crash Reports · Socrata Open Data · 2020-11-01 to 2020-11-30 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Austin Crash Reports · Socrata Open Data · 2020-11-01 to 2020-11-30 · Most severe injury per crash record

Speed Limit Zones

Year-over-year, the distribution of crashes across different speed zones showed a general decrease in line with the overall trend. The most significant reduction in crash volume occurred in mid-range speed zones (35-50 mph), which saw 394 crashes in November 2020 compared to 516 in the prior year. Fatal crashes also shifted; while the prior period recorded 3 fatalities in 45 mph zones, the current period had none in that speed range. In November 2020, two of the three fatal crashes occurred in 35 mph zones, with the third happening in a 60 mph zone.

Fatal crashes by zone: 35 mph: 2 of 144 (1.389%) · 60 mph: 1 of 33 (3.03%)

Source: Austin Crash Reports · Socrata Open Data · 2020-11-01 to 2020-11-30 · 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: 2020-11-01 through 2020-11-30
  • Report generated: July 6, 2026

Data Coverage

  • Reporting period: 2020-11-01 through 2020-11-30 (30 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 1,121

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 2020." Published July 6, 2026. Reporting period: 2020-11-01 to 2020-11-30. 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-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

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Austin, TX Crash Report — November 2020 | ThatCarHitMe.com