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Incarceration rates by state. From various years; latest available as of June 2024. State, federal, and local inmates. [1] This article has lists of US states and US territories by incarceration and correctional supervision rates. There are also counts of inmates for various categories.
In statistics, a k-th percentile, also known as percentile score or centile, is a score (e.g., a data point) below which a given percentage k of arranged scores in its frequency distribution falls ("exclusive" definition) or a score at or below which a given percentage falls ("inclusive" definition); i.e. a score in the k-th percentile would be above approximately k% of all scores in its set.
The Office of Management and Budget (OMB) has designated more than 1,000 statistical areas for the United States and Puerto Rico. [2] These statistical areas are important geographic delineations of population clusters used by the OMB, the United States Census Bureau, planning organizations, and federal, state, and local government entities.
Location: Leavenworth, Kansas: Coordinates: 1]: Status: Operational: Security class: Medium-security (with minimum-security satellite camp): Population: 1,706 [1,579 at the FCI, 127 in prison camp] (September 2024; official BOP website): Opened: 1903: Managed by: Federal Bureau of Prisons: Warden: Donald Hudson: The Federal Correctional Institution, Leavenworth [2] is a medium-security federal ...
The Kansas Department of Corrections (KDOC) [1] is a cabinet-level agency of Kansas that operates the state's correctional facilities, both juvenile and adult, the state's parole system, and the state's Prisoner Review Board.
Kearney County was established on March 6, 1873, and was dissolved in 1883, with the land area being split between Hamilton and Finney counties. It was reestablished with its original borders in 1887, and organized on March 27, 1888. In 1889, the name was corrected to Kearny County (without an extra "e") to match the last name of Philip Kearny ...
The figure illustrates the percentile rank computation and shows how the 0.5 × F term in the formula ensures that the percentile rank reflects a percentage of scores less than the specified score. For example, for the 10 scores shown in the figure, 60% of them are below a score of 4 (five less than 4 and half of the two equal to 4) and 95% are ...
If data are placed in order, then the lower quartile is central to the lower half of the data and the upper quartile is central to the upper half of the data. These quartiles are used to calculate the interquartile range, which helps to describe the spread of the data, and determine whether or not any data points are outliers.