By Paul R. Voss,Krisztina Marton,Panel on Statistical Methods for Measuring the Group Quarters Population in the American Community Survey,Committee on National Statistics,Division of Behavioral and Social Sciences and Education,National Research Council
In the early Nineties, the Census Bureau proposed a software of constant size as a potential replacement to the collection of certain social, fiscal, and housing info from a pattern of the U.S. inhabitants as a part of the decennial census. the yank group Survey (ACS) grew to become a truth in 2005, and has integrated team quarters (GQ)-such locations as correctional amenities for adults, scholar housing, nursing amenities, inpatient hospice amenities, and armed forces barracks-since 2006, basically to extra heavily mirror the layout and knowledge items of the census long-form sample.
The selection to incorporate crew quarters within the ACS allows the Census Bureau to supply a complete benchmark of the whole U.S. inhabitants (not simply these residing in households). besides the fact that, the truth that the ACS needs to depend on a pattern of what's a small and extremely diversified inhabitants, mixed with constrained investment on hand for survey operations, makes the ACS GQ sampling, information assortment, weighting, and estimation approaches extra complicated and the estimates extra prone to difficulties stemming from those barriers. the worries are magnified in small parts, rather by way of harmful results at the overall inhabitants estimates produced for small areas.
Small Populations, huge Effects presents an in-depth evaluation of the statistical method for measuring the GQ inhabitants within the ACS. This record addresses problems linked to measuring the GQ inhabitants and the explanation for together with GQs within the ACS. contemplating consumer wishes for ACS info and of operational feasibility and compatibility with the remedy of the family inhabitants within the ACS, the record recommends possible choices to the survey layout and different methodological beneficial properties that could make the ACS extra precious for clients of small-area data.
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