Race and Sex Breakdown (Currently for 2022 and 2023 Only)
Data Dashboards
Race and Sex Breakdown (Currently for 2022 and 2023 Only)
SPOTLITE includes any incident where police use firearms—including those with non-fatal outcomes—as well as pursuits or any other uses of force that result in a civilian death.
SPOTLITE assesses a person’s ascribed racial, ethnic, and sex characteristics based on the person’s image and name alone. SPOTLITE provides ascribed racial, ethnic, and sex characteristics generated from the perceptions of third-party observers using only name and image information because this is likely to be the kind of information available to law enforcement personnel encountering a civilian on the street. Currently these data are available nationally for 2022 and 2023, and from 2014 to 2023 for the state of Illinois only. The SPOTLITE team is already working on expanding the characteristics of involved civilians data and will update this dashboard as soon as new data are available.
SPOTLITE is a project of the Cline Center for Advanced Social Research at the University of Illinois. SPOTLITE is nonpartisan and nonadvocacy. It is designed to supply high-quality data that can drive productive conversations about policing in the United States.
SPOTLITE is a continually-evolving work in progress. To get SPOTLITE data into the hands of American communities as soon as possible, we release each new data layer or feature as soon as it is completed, rather than waiting until all planned elements are in place. The SPOTLITE team is already working on updating the incident count dashboard to the present, and eventually transitioning to a nearly real-time monitoring capability. Additional planned enhancements include an anomaly detector for identifying counties with higher or lower numbers of SPOTLITE incidents than would be expected from nationwide trends, specifying precise incident locations, identifying involved agencies, as well as documenting whether any civilians or officers were injured or killed in an incident.
Our pace of bringing these planned enhancements to the public is set by available funding to support the SPOTLITE program. If you or your organization is interested in learning more about how to financially support the SPOTLITE effort, please email the Cline Center at spotlite@illinois.edu or click here to donate.
- SPOTLITE relies on a limited number of standard categories for classifying racial and ethnic characteristics that reflect Office of Management and Budget guidelines used by the US Census Bureau and other federal agencies.
- To improve comparability, our approach follows a common practice among law enforcement agencies of combining ethnicity with race into a single set of categories. SPOTLITE uses a five-category racial/ethnic typology (Native American, White, Black, Asian or Asian Pacific Islander, and Hispanic or Latino) and a three-category typology (White, Black, and Other).
- The SPOTLITE registry documents ascribed racial and ethnic characteristics rather than self-identified racial or ethnic characteristics. By “ascribed” we mean externally-perceived characteristics that can be assessed by third-party observers. Racial disparities can be challenging to measure in lethal force incidents involving police, and this difficulty is a major reason why such data are not already widely available. Race is also a multidimensional construct that encompasses a person’s own subjective racial or ethnic identities as well as how other persons perceive that person’s identities. Because civilians often die in lethal force events, collecting data on subjective identities with high levels of validity becomes impossible. In contrast, ascribed racial and ethnic characteristics can be assessed more consistently based on image and name information alone.
- SPOTLITE likely underrepresents the number of Hispanics and Latinos in the data, largely due to miscategorizing people as White or Black who may identify as Hispanic or Latino.
- SPOTLITE likely underrepresents the number of Native Americans and Alaska Natives in the data, largely due to underreporting in news coverage and the potential miscategorization of Native Americans or Alaska Natives into other categories.
- SPOTLITE only records one racial/ethnic category per individual.
- Many individuals cannot be reliably classified using ascribed characteristics alone.
- Numbers will change as we develop new information.
For more details on how the data were constructed, see the SPOTLITE Data section of this website.
- SPOTLITE relies on a binary category for classifying perceived sex characteristics that reflects standard reporting practices of federal agencies.
- The SPOTLITE registry documents perceived sex characteristics only. By “perceived sex” we mean externally-perceived or externally-presented characteristics that can be assessed by third-party observers. Sex and gender are multidimensional constructs that encompass a person’s own subjective identities as well as how other persons perceive that person’s identities. Because civilians often die in lethal force events, collecting data on subjective identities with high levels of validity becomes impossible. In contrast, perceived sex characteristics can be assessed more consistently based on image and name information alone.
- The SPOTLITE registry ascribes only those identity markers for perceived sex that are represented in available image and name data. In contrast, since gender identities cannot be reliably ascribed using image and name data alone, no information on gender is reported here.
- In cases where involved civilians have transitioned from male to female or female to male, every effort is undertaken to use the name and image representing the person’s most recent identity.
- SPOTLITE likely underrepresents categories of individuals for whom a binary sex classification is inappropriate or inapplicable. Such individuals may be mistakenly characterized as male or female based only on externally-presented characteristics in available name or image data.
- SPOTLITE only records one sex category per individual.
- Many individuals cannot be reliably classified using perceived sex characteristics alone.
- Numbers will change as we develop new information.