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OLS Field Name OLS Field Data
Main Title Guidance for statistical determination of appropriate percent minority and percent proverty distributional cutoff values using census data for an EPA Region II environmental justice project /
Author Nash, Maliha S. ; Flatman, G. T. ; Ebert, D. W. ; Cross, C. L.
Other Authors
Author Title of a Work
Flatman, George T.
Ebert, Donald W.
Cross, Chad L.
CORP Author Environmental Protection Agency, Las Vegas, NV. National Exposure Research Lab.
Publisher U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Environmental Sciences Division,
Year Published 2001
Report Number EPA 600-R-01-078; NERL-LV-ESD-01-121
Stock Number PB2002-101193
OCLC Number 48453776
Additional Subjects Probability distribution ; Environmnetal justice ; Statistical analysis ; Minorities ; Poverty ; Census data ; Cutoff values ; Sampling ; Decision units ; Distribution ; Community of Concern(COC) ; Environmental Protection Agency
Internet Access
Description Access URL
http://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P1005I1V.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EJBD ARCHIVE EPA 600-R-01-078 Headquarters Library/Washington,DC 04/16/2018
NTIS  PB2002-101193 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 01/01/1988
Collation 20 pages : maps ; 28 cm
Abstract
The goal of this project is to identify a GIS and a statistical procedure which will objectively, reproducibly, and statistically identify a 'Community of Concern' (COC) which is defined as a community with a 'minority' or 'below-poverty' population. We shall demonstrate the procedure using the census data for the state of New Jersey and New York located in EPA's Region 11. This exercise in classification sounds straightforward and doable, but the choice of threshold values or cutoff values and changes of scale (e.g., census block groups to counties) changes the number and location of the COC, and may raise questions and criticism. An objective statistical algorithm is needed for identifying and locating the COC on the map of the Region. This is a non-trivial statistical problem. Because the data have time and space dimensions and skewed probability distributions, hypothesis testing, confidence intervals, and ratios and proportions are inappropriate and hence have the potential to mislead decision-makers. Descriptive analyses of the probability distribution of the data when aggregated to the appropriate scale (census block or group, census tract, town, township, county, state, or region) is an appropriate approach for the data and will give the desired quality for identification of a COC. Decisions will be made from the probability of the cutoff, not from arbitrary cutoff. In this context, it is important to define units and scale. The basic (indivisible) sampling unit of data or information is the census 'block group.' The decision unit changes (e.g., census block group, census tract, township, county, or state) and is chosen by the specific question to be answered. To change scale to a different decision unit other than the census block group (sampling unit), all of the spatially included sampling units in the new decision unit must have the counts of their characteristics summed over the desired decision unit and the desired percentages recomputed. The counts or frequencies are additive but the percentages or relative frequencies (probabilities) are not.
Notes
"October 2001." "EPA 600-R-01-078." Cover title. Includes bibliographical references.