3 datasets found
  1. Stanford Open Policing Project - Texas

    • kaggle.com
    zip
    Updated Jul 11, 2017
    + more versions
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    Stanford Open Policing Project (2017). Stanford Open Policing Project - Texas [Dataset]. https://www.kaggle.com/stanford-open-policing/stanford-open-policing-project-texas
    Explore at:
    zip(422936780 bytes)Available download formats
    Dataset updated
    Jul 11, 2017
    Dataset authored and provided by
    Stanford Open Policing Project
    Area covered
    Texas
    Description

    Context:

    On a typical day in the United States, police officers make more than 50,000 traffic stops. The Stanford Open Policing Project team is gathering, analyzing, and releasing records from millions of traffic stops by law enforcement agencies across the country. Their goal is to help researchers, journalists, and policymakers investigate and improve interactions between police and the public.

    If you'd like to see data regarding other states, please go to https://www.kaggle.com/stanford-open-policing.

    Content:

    This dataset includes over 2 gb of stop data from Texas, covering all of 2010 onwards. Please see the data readme for the full details of the available fields.

    Acknowledgements:

    This dataset was kindly made available by the Stanford Open Policing Project. If you use it for a research publication, please cite their working paper: E. Pierson, C. Simoiu, J. Overgoor, S. Corbett-Davies, V. Ramachandran, C. Phillips, S. Goel. (2017) “A large-scale analysis of racial disparities in police stops across the United States”.

    Inspiration:

    • How predictable are the stop rates? Are there times and places that reliably generate stops?
    • Concerns have been raised about jurisdictions using civil forfeiture as a funding mechanism rather than to properly fight drug trafficking. Can you identify any jurisdictions that may be exhibiting this behavior?
  2. Number of forcible rape cases U.S. 2023, by state

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Number of forcible rape cases U.S. 2023, by state [Dataset]. https://www.statista.com/statistics/232524/forcible-rape-cases-in-the-us-by-state/
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, Texas had the highest number of forcible rape cases in the United States, with 15,097 reported rapes. Delaware had the lowest number of reported forcible rape cases at 194. Number vs. rate It is perhaps unsurprising that Texas and California reported the highest number of rapes, as these states have the highest population of states in the U.S. When looking at the rape rate, or the number of rapes per 100,000 of the population, a very different picture is painted: Alaska was the state with the highest rape rate in the country in 2023, with California ranking as 30th in the nation. The prevalence of rape Rape and sexual assault are notorious for being underreported crimes, which means that the prevalence of sex crimes is likely much higher than what is reported. Additionally, more than a third of women worry about being sexually assaulted, and most sexual assaults are perpetrated by someone the victim knew.

  3. O

    Credit Law Delinquent List

    • tabc.texas.gov
    • data.texas.gov
    • +2more
    csv, xlsx, xml
    Updated Oct 22, 2025
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    Texas Alcoholic Beverage Commission (2025). Credit Law Delinquent List [Dataset]. https://www.tabc.texas.gov/public-information/tabc-delinquent-list/
    Explore at:
    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Oct 22, 2025
    Dataset authored and provided by
    Texas Alcoholic Beverage Commission
    Description

    Based on the delivery period, the publication date of the delinquent list becomes effective five business days (M-F) subsequent to the due date excluding federal and state holidays, Saturdays and Sundays.

    **To avoid unnecessary delays in processing time and to allow retailers adequate time to reconcile delinquencies, please report delinquent accounts by the reporting dates shown.

    If the due date (10th or 25th) or publication date falls on a Saturday, Sunday, or a state or federal holiday, the due date or publication date shall be the next regular business day.

    To allow adequate processing time, Sellers that have been granted an exception waiver to utilize a paper-based process to submit paper notices of default and/or cash law affidavits to the Commission, should submit those notices to the appropriate regional office within two business days following the 10th or 25th for credit law and with two days of receipt of the NFS check for cash law affidavits.

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Close
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Stanford Open Policing Project (2017). Stanford Open Policing Project - Texas [Dataset]. https://www.kaggle.com/stanford-open-policing/stanford-open-policing-project-texas
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Stanford Open Policing Project - Texas

Data on Traffic and Pedestrian Stops by Police in Texas

Explore at:
zip(422936780 bytes)Available download formats
Dataset updated
Jul 11, 2017
Dataset authored and provided by
Stanford Open Policing Project
Area covered
Texas
Description

Context:

On a typical day in the United States, police officers make more than 50,000 traffic stops. The Stanford Open Policing Project team is gathering, analyzing, and releasing records from millions of traffic stops by law enforcement agencies across the country. Their goal is to help researchers, journalists, and policymakers investigate and improve interactions between police and the public.

If you'd like to see data regarding other states, please go to https://www.kaggle.com/stanford-open-policing.

Content:

This dataset includes over 2 gb of stop data from Texas, covering all of 2010 onwards. Please see the data readme for the full details of the available fields.

Acknowledgements:

This dataset was kindly made available by the Stanford Open Policing Project. If you use it for a research publication, please cite their working paper: E. Pierson, C. Simoiu, J. Overgoor, S. Corbett-Davies, V. Ramachandran, C. Phillips, S. Goel. (2017) “A large-scale analysis of racial disparities in police stops across the United States”.

Inspiration:

  • How predictable are the stop rates? Are there times and places that reliably generate stops?
  • Concerns have been raised about jurisdictions using civil forfeiture as a funding mechanism rather than to properly fight drug trafficking. Can you identify any jurisdictions that may be exhibiting this behavior?
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