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 1 gb of stop data from Illinois, 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][1]. If you use it for a research publication, please cite their [working paper][2]: 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? [1]: https://openpolicing.stanford.edu/ [2]: https://5harad.com/papers/traffic-stops.pdf