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 Nineteen Nineties, the Census Bureau proposed a software of constant dimension as a potential substitute to the collection of unique social, financial, and housing information from a pattern of the U.S. inhabitants as a part of the decennial census. the yank group Survey (ACS) grew to become a fact in 2005, and has incorporated workforce quarters (GQ)-such areas as correctional amenities for adults, scholar housing, nursing amenities, inpatient hospice amenities, and army barracks-since 2006, basically to extra heavily reflect the layout and knowledge items of the census long-form sample.
The determination to incorporate crew quarters within the ACS allows the Census Bureau to supply a accomplished benchmark of the whole U.S. inhabitants (not simply these dwelling in households). even if, the truth that the ACS needs to depend upon a pattern of what's a small and extremely varied inhabitants, mixed with restricted investment to be had for survey operations, makes the ACS GQ sampling, info assortment, weighting, and estimation tactics extra advanced and the estimates extra vulnerable to difficulties stemming from those barriers. the troubles are magnified in small parts, really by way of unsafe results at the overall inhabitants estimates produced for small areas.
Small Populations, huge Effects presents an in-depth evaluate of the statistical technique for measuring the GQ inhabitants within the ACS. This file addresses problems linked to measuring the GQ inhabitants and the explanation for together with GQs within the ACS. contemplating consumer wishes for ACS facts and of operational feasibility and compatibility with the therapy of the loved ones inhabitants within the ACS, the file recommends possible choices to the survey layout and different methodological beneficial properties which may make the ACS extra important for clients of small-area data.
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