Based on these categories, there’s a lot of noise in the report's “Undocumented immigrants: Non-US citizen, Not Legal Permanent Resident” and “Documented immigrants: Non-US citizen, Legal Permanent Resident” categories. @AlexNowrasteh describes the implications of this noise
Because the characteristics of those in the dataset are of great consequence, analyzing all rows without collapsing (and one can easily collapse and sum over crimes) leads to a distorted view of the population of interest...
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... and this doesn't yet address the noise in the citizen variable
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... the "by individual" table above provides an example. How does it account for inconsistencies in the "citizen" variable, wherein one "IDNO" can be coded citizen and noncitizen at two different points in time?
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