Monthly Traffic Safety Analysis

1,093 CRASHES IN
AUSTIN, TX
JULY 2022

All metrics benchmarked againstJuly 2021

In July 2022, Austin recorded 1,093 motor vehicle crashes, representing an 8.4% decrease from the 1,193 crashes reported in July 2021. The total number of injuries also saw a slight decline from 835 to 814 over the same period. The most significant year-over-year change was a substantial reduction in fatalities, which fell from 11 in the prior period to 3 in the current period.

1,093

▼ -8.4%was 1,193

Total Crash Events

3

▼ -72.7%was 11

Persons Killed

814

▼ -2.5%was 835

Persons Injured

4

▼ -42.9%was 7

Fatal Crash Events

Note: "Persons Killed" (3) counts individual fatalities across all crash events. "Fatal" in the severity table below (4) counts crash events where at least one fatality occurred. A single crash can result in multiple fatalities.

Source: Austin Crash Reports · Socrata Open Data · 2022-07-01 to 2022-07-31 · Aggregate counts from crash, person, and vehicle records

Trend Summary

Overall traffic crash trends in Austin showed a decline in July 2022 compared to the same month in the previous year. Total crashes fell by 8.4%, from 1,193 to 1,093. This downward trend was also reflected in crash outcomes, with total injuries decreasing by 2.5% and total fatalities dropping from 11 to 3.

Vulnerable Road User Casualties

1

Pedestrians Killed

Prior: 1→0.0%

2

Motorists Killed

Prior: 9↓-77.8%

0

Pedestrians Injured

Prior: 0→0.0%

0

Motorists Injured

Prior: 0→0.0%

Source: Austin Crash Reports · Socrata Open Data · 2022-07-01 to 2022-07-31 · Mode classified from person records (driver/passenger → motorist; pedestrian; bicyclist → cyclist; in-line skater / unspecified → other)

When Crashes Happen

The temporal patterns of crashes in Austin remained largely consistent between July 2021 and July 2022. Friday was the peak day for crashes in both periods, with 218 and 217 incidents, respectively. Similarly, the 5 p.m. hour was the single busiest hour for collisions in both years, accounting for 87 crashes in 2021 and 77 in 2022, indicating that the evening commute continues to be the primary peak crash time.

Source: Austin Crash Reports · Socrata Open Data · 2022-07-01 to 2022-07-31 · Crash date field aggregated by weekday

Source: Austin Crash Reports · Socrata Open Data · 2022-07-01 to 2022-07-31 · Crash time field aggregated by hour (0-23)

Crash Severity Breakdown

While total crashes decreased, the severity distribution showed a mixed pattern year-over-year. The proportion of fatal crashes fell from 0.6% of all incidents (7 crashes) in July 2021 to 0.4% (4 crashes) in July 2022. In contrast, the share of crashes resulting in a serious injury increased from 3.5% to 4.5% of all collisions. The percentage of crashes with no reported injuries decreased slightly from 45.4% to 44.1%.

Severity is per crash event (most severe injury). 4 fatal crash events resulted in 3 persons killed.

Outcome by Severity (Crash Events)

Fatal4fatal crashes0.4%
↓-42.9%prior 7
Serious Injury49serious injury crashes4.5%
↑16.7%prior 42
Minor Injury246minor injury crashes22.5%
↓-1.2%prior 249
Possible Injury232possible injury crashes21.2%
↓-15.0%prior 273
Injury80minor injury crashes7.3%
→0.0%prior 80
No Injury482no injury crashes44.1%
↓-11.1%prior 542

Source: Austin Crash Reports · Socrata Open Data · 2022-07-01 to 2022-07-31 · KABCO injury classification scale

Severity Distribution (Crash Events)

Source: Austin Crash Reports · Socrata Open Data · 2022-07-01 to 2022-07-31 · Most severe injury per crash record

Speed Limit Zones

In July 2022, the highest number of crashes occurred in 45 mph zones (180 crashes), a shift from July 2021 when 35 mph zones saw the most incidents (196 crashes). Fatal crashes remained concentrated in higher speed zones in both periods. All 4 fatalities in July 2022 occurred in zones with speed limits of 45 mph or higher, compared to all 7 fatalities in the prior year which also occurred in zones of 45 mph or higher.

Fatal crashes by zone: 45 mph: 1 of 180 (0.556%) · 50 mph: 1 of 71 (1.408%) · 55 mph: 2 of 113 (1.77%)

Source: Austin Crash Reports · Socrata Open Data · 2022-07-01 to 2022-07-31 · 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: 2022-07-01 through 2022-07-31
  • Report generated: July 5, 2026

Data Coverage

  • Reporting period: 2022-07-01 through 2022-07-31 (31 days)
  • Geographic scope: Austin, TX
  • Total crash records analyzed: 1,093

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: July 2022." Published July 5, 2026. Reporting period: 2022-07-01 to 2022-07-31. 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/july-2022-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 — July 2022 | ThatCarHitMe.com