Look for complete geospatial metadata in this layer's associated xml document available from the download link * Metric Name: Poverty Percentile * * Tier: 1 * Data Vintage: 2021 * Unit Of Measure: Percentile * Represent element and pillar: Yes * Type and distribution of data: Continuous distribution representing percent values. Raw data range from 0.013 to 99.937. * Translation: Where are the areas with the fewest low-income communities? * Translation method and outcome: Raw data values translated to **** range from +1 to -1 representing more favorable to less favorable conditions, respectively, with investments begin directed at less favorable areas to improve conditions, in this case to infuse resources into communities that are most in need. **** The proposition of more favorable is based on the objective of understanding where community investments are less critical. More favorable (translated to +1) set at 0.013 % low-income populations (negative linear slope), and less favorable (translated to -1) set at 99.937% low income. Figure 177. Histogram and scoring criterion of current condition for poverty percentile across the Central Coast Figure 178. Histogram of translated current condition for low-income population across the Central Coast Figure 179. Maps displaying raw metric and translated metric of current condition poverty percentile across the Central Coast * Metric Definition and Relevance: Percent of population living below two times the federal poverty level. The U.S. Census Bureau determines the federal poverty level each year. The poverty level is based on the size of the household and the age of family members. If a person or family’s total income before taxes is less than the poverty level, the person or family are considered in poverty. Many studies have found that people living in poverty are more likely than others to become ill from pollution. * Credits: California Environmental Protection Agency, CalEnviroScreen 4.0 \--Office of Environmental Health Hazard Assessment, CAL EPA