Parent Layer: Social and cultural well-being

Name: Low Income Populations (Census) normalized

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Description: The Low-Income metric is derived from American Community Survey data published by the Census Bureau. The ACS is administered on a rolling basis to a small annual sample of households: samples for the estimate of low-income population and total population in households with income estimated used for this feature were collected from 2016 to 2020. Thus, the concentration of low-income individuals does not describe a point in time, as do the race/ethnicity counts. This metric identifies group block areas (Block Groups (BGs) are statistical divisions of census tracts, generally defined to contain between 600 and 3,000 people) where individuals living in low-income households are disproportionately present in comparison to the total households population of the ACCEL project region. The relative concentration of low-income individuals is expressed categorically.----------------This raster has been modified from the base 30m version in the following ways:-------- - It has been aggregated from a 30m to a 300m scale by averaging across the 30m values-------- - The normalized values are rescaled based on the full range of potential values, with -1 representing high values, and 1 representing low values. This interpretation reflects concerns for projects to benefit low-income populations, with areas of higher densities considered to benefit more from investments (lower values) than areas with limited or no low-income populations (higher values).----------------- Unit Of Measure: Categorical

Copyright Text: USDA Forest Service - Washington Office (WO): The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.

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