Area Deprivation Index by Census Block Group

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The 2015 Area Deprivation Index is now available! The ADI map displays rankings of neighborhoods by socioeconomic status disadvantage in a region of interest (e.g. at the state or national level). It includes factors for the theoretical domains of income, education, employment, and housing quality. It can be used to inform health delivery and policy, especially for the most disadvantaged neighborhood groups. The 2015 ADI (v2.0) was constructed using the 2011-2015 5-year estimates from the US Census’ American Community Survey. The methods are identical to the 2013 ADI construction.

Chronic Absenteeism by School District, 2015-16

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This layer displays information about chronic absenteeism from the U.S. Department of Education Civil Rights Data Collection (CRDC). According to the CRDC, a chronically absent studentis a student who is absent 15 or more school days during the school year. A student is absent if he or she is not physically on school grounds and is not participating in instruction or instruction-related activities at an approved off-grounds location for at least half the school day.Each day that a student is absent for 50 percent or more of the school day should be counted. Any day that a student is absent for less than 50 percent of the school day should not be counted. The number of absences is based on the totalnumber of school days absent. Chronically absent students include students who areabsent for any reason (e.g., illness, suspension, the need to care for a family member), regardless of whether absences areexcused or unexcused.

School-district data are aggreagted from school-level records. Calculated percentages only reflect chronic absenteeism among schools within the district with valid (unsupressed) data. For more information, please see the definitions for Chronic Student Absenteeism from the CRDC Survey.

Opportunity Index Score

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The Opportunity Index is a composite measure that draws upon important economic, educational, health, and community-related indicators of opportunity. The Index was launched in 2011 and has since been updated regularly. It provides insight into the multidimensional nature of opportunity in the United States. The indicators are broken down geographically to measure opportunity for individual states and counties, as well as aid policymakers and other stakeholders as they work to increase opportunity in our nation

Primary Care Physician Access

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This layer displays the rate of physicians per 10,000 population and the total number of physicians at the census tract and county level. Other related layers include various specialities and the number of primary care providers within 5 miles of a census tract.

4th Grade Reading Proficiency by school district and county, 2016-17

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This layer displays reading proficiency rates for counties and school districts across the United States. Data are acquired from the US Department of Education (ED) EdFacts 2016-17 data tables. Z-Scores are calculated for counties within states displaying the magnitude of each county’s deviation above or below the state average.

Population Change, 2018 by County, Population Estimates and Components of Change 2016-2018

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The Census Bureau’s Population Estimates Program (PEP) produces estimates of the population for the United States, its states, counties, cities, and towns, as well as for the Commonwealth of Puerto Rico and its municipios. Demographic components of population change (births, deaths, and migration) are produced at the national, state, and county levels of geography. Additionally, housing unit estimates are produced for the nation, states, and counties.

PEP annually utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census and produce a time series of estimates of population, demographic components of change, and housing units. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year.

4th Grade Reading Proficiency by school district and county, 2015-16

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This layer displays reading proficiency rates for counties and school districts across the United States. Data are acquired from the US Department of Education (ED) EdFacts 2015-16 data tables. Z-Scores are calculated for counties within states displaying the magnitude of each county’s deviation above or below the state average.

Adult Obesity by County, 2016

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Layer displays the estimated percentage of adults who are in obese across all counties in the United States. These figures are multi-year modelled estimates based on survey data from the CDC Behavioral Risk Factor Surveillance System.

NPDES Missouri Animal Feeding Operations – Animal Unit, Type

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Animal Feeding Operations (AFOs) are agricultural operations where animals are kept and raised in confined situations. An AFO is a lot or facility (other than an aquatic animal production facility) where the following conditions are met:

animals have been, are, or will be stabled or confined and fed or maintained for a total of 45 days or more in any 12-month period, and
crops, vegetation, forage growth, or post-harvest residues are not sustained in the normal growing season over any portion of the lot or facility.

AFOs that meet the regulatory definition of a concentrated animal feeding operation (CAFO) are regulated under the NPDES permitting program. The NPDES program regulates the discharge of pollutants from point sources to waters of the United States.

American Communities Project

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The 15 community types identified in the American Communities Project (ACP) were derived from a standard clustering method of analysis, conducted by political scientist Iris Hui, PhD, where a set of 36 different indicators – everything from population density to military service members – were sorted using an algorithm that identified like places.
The majority of the data used to define the types in the ACP came from the U.S. Census American Community Survey, 2008-2012. Data on religious adherence and faith came from the Religious Congregations and Membership Study, 2010.