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Sara Srygley; Nurfadila Khairunnisa; Diana Elliott – Appalachian Regional Commission, 2024
This chartbook is the 14th version to be produced for the Appalachian Regional Commission (ARC) by the Population Reference Bureau (PRB). The Chartbook describes the diversity of the Appalachian Region on a host of demographic and economic measures and provides an important annual view of the area and its people. The data contained in the…
Descriptors: Demography, Geographic Location, Community Surveys, Data Analysis
Pollard, Kevin; Jacobsen, Linda A. – Appalachian Regional Commission, 2021
This report presents state- and county-level data for the Appalachian Region. The 12 chapters focus on: (1) Population Basics; (2) Age; (3) Race and Hispanic Origin; (4) Housing Occupancy, Tenure, and Type; (5) Education, Device Ownership, and Internet Access; (6) Labor Force, Employment, and Unemployment; (7) Transportation and Commuting…
Descriptors: Rural Areas, Urban Areas, Geographic Regions, Regional Characteristics
Pollard, Kelvin; Jacobsen, Linda A. – Appalachian Regional Commission, 2019
This study examines state- and county-level data for the 13 Appalachian states from the 2013-2017 American Community Survey (ACS) and from U.S. Census Bureau population estimates on topics including population, age, race and ethnicity, housing occupancy and tenure, education, labor force, employment and unemployment, income and poverty, health…
Descriptors: Geographic Regions, Community Surveys, Population Trends, Population Distribution
Pollard, Kelvin; Jacobsen, Linda A. – Appalachian Regional Commission, 2020
This report presents state- and county-level data for the Appalachian Region. The 12 chapters focus on: (1) Population Basics; (2) Age; (3) Race and Hispanic Origin; (4) Housing Occupancy, Tenure, and Type; (5) Education, Device Ownership, and Internet Access; (6) Labor Force, Employment, and Unemployment; (7) Transportation and Commuting…
Descriptors: Regional Characteristics, Geographic Regions, Population Trends, Population Distribution
Pollard, Kelvin; Jacobsen, Linda A. – Appalachian Regional Commission, 2018
This study examines state- and county-level data for the Appalachian Region. The 11 chapters focus on: (1) Population Basics; (2) Age; (3) Race and Hispanic Origin; (4) Housing Occupancy, Tenure, and Type; (5) Education; (6) Labor Force, Employment, Unemployment, and Commuting Patterns; (7) Income and Poverty; (8) Health Insurance Coverage (9)…
Descriptors: Community Surveys, Population Distribution, Population Trends, Age Differences
Lueken, Martin F. – EdChoice, 2016
This report follows up on previous work that examined the fiscal effects of private school voucher programs. It estimates the total fiscal effects of tax-credit scholarship programs--another type of private school choice program--on state governments, state and local taxpayers, and school districts combined. Based on a range of assumptions, these…
Descriptors: Educational Finance, Tax Credits, Educational Vouchers, Private Schools
Pollard, Kelvin; Jacobsen, Linda A. – Appalachian Regional Commission, 2017
This study examines state- and county-level data on population, age, race and ethnicity, housing occupancy and housing tenure, education, labor force, employment and unemployment, income and poverty, health insurance coverage, disability status, migration patterns, and veteran status from the 2011-2015 American Community Survey (ACS) for the 13…
Descriptors: Community Surveys, Population Distribution, Population Trends, Age Differences
Nowicki, Jacqueline M. – US Government Accountability Office, 2017
Growth of voucher and education savings account (ESA) programs has drawn attention to how states ensure accountability and transparency to parents and the public. With over half of voucher and ESA programs designed for students with disabilities, there is interest in the information parents receive about special education services and rights when…
Descriptors: Private Schools, School Choice, Accountability, Disabilities
Pollard, Kelvin; Jacobsen, Linda A. – Appalachian Regional Commission, 2016
This study examines state- and county-level data on population, age, race and ethnicity, housing occupancy and housing tenure, education, labor force, employment and unemployment, income and poverty, health insurance coverage, disability status, migration patterns, and veteran status from the 2010-2014 American Community Survey (ACS) for the 13…
Descriptors: Community Surveys, Housing, Ethnicity, Race
Rice, Catherine – Centers for Disease Control and Prevention, 2009
Problem/Condition: Autism spectrum disorders (ASDs) are a group of developmental disabilities characterized by atypical development in socialization, communication, and behavior. ASDs typically are apparent before age 3 years, with associated impairments affecting multiple areas of a person's life. Because no biologic marker exists for ASDs,…
Descriptors: Age Differences, Gender Differences, Incidence, Autism
DiPerna, Paul, Ed. – Friedman Foundation for Educational Choice, 2012
School choice is a common sense idea that gives all parents the power and freedom to choose their child's education, while encouraging healthy competition among schools and other institutions to better serve students' needs and priorities. It is a public policy that allows a parent/guardian or student to choose a district, charter, or private…
Descriptors: Private Schools, School Choice, Public Policy, Guides
National Center for Education Statistics, 2011
Representative samples of fourth- and eighth-grade public school students from 21 urban districts participated in the 2011 National Assessment of Educational Progress (NAEP) in mathematics. Eighteen of the districts participating in the 2011 NAEP Trial Urban District Assessment (TUDA) participated in earlier assessment years, while three districts…
Descriptors: Achievement Gap, Algebra, Comparative Analysis, Disabilities
National Center for Education Statistics, 2011
Representative samples of fourth- and eighth-grade public school students from 21 urban districts participated in the 2011 National Assessment of Educational Progress (NAEP) in reading. Eighteen of the districts participating in the 2011 NAEP Trial Urban District Assessment (TUDA) participated in earlier assessment years, while three districts…
Descriptors: Achievement Gap, Comparative Analysis, Disabilities, Educational Assessment
Center on Education Policy, 2010
Georgia has made some changes in its testing program in recent years. As a result, trend data were only available for reading in grades 4 and 8 from 2006 through 2009, and only at the proficient and advanced levels. In math, data were only available for the high school level from 2004 through 2009. Achievement data for low income students were…
Descriptors: Achievement Gap, Achievement Gains, Reading Achievement, Mathematics Achievement
US Department of Education, 2012
This State-specific summary report serves as an assessment of Georgia's Year 1 Race to the Top implementation, highlighting successes and accomplishments, identifying challenges, and providing lessons learned from implementation to date. Georgia's first-year accomplishments include awarding the State's first five Race to the Top Innovation Fund…
Descriptors: Academic Achievement, Academic Standards, Accountability, Achievement Gains
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