Technical note. Data Sources

Save this PDF as:

Size: px
Start display at page:

Transcription

2 Computation of Indices There are three types of segregation indices: Index of Dissimilarity (D), Isolation Indices (P*), and Exposure Indices (P*). The following formulas were used to generate segregation scores. The formulas given below are for white/black indices, but the same formulas may be used for all combinations of groups. The dissimilarity index (D) measures whether one particular group is distributed across schools in the metropolitan area in the same way as another group. A high value indicates that the two groups tend to attend different schools. D ranges from 0 to 100. A value of 60 (or above) is considered very high. It means that 60% (or more) of the members of one group would need to switch elementary schools in order for the two groups to be equally distributed. Values of 40 or 50 are usually considered a moderate level of segregation, and values of 30 or below are considered to be fairly low. Another measure of school segregation is a class of exposure indices (p*) that refer to the racial/ethnic composition of the elementary school attended by the average member of a given group. For example, the average Hispanic might attend elementary schools that are 40% Hispanic, 40% non-hispanic white,15% black, and 5% Asian. (Note that these various indices must add up to 100%.) The isolation index is the group s exposure to itself for example, the percentage of black students in the school attended by the average black student. Other exposure indices measure the group s exposure to other groups. Indices of exposure must range from 0 to 100, where a larger value means that the average group member attends elementary school with a higher percentage of children from the other group. Index of Dissimilarity Where: B = the school district black population B i = the black population of school i W = the school district white population W i = the white population of school i Isolation Index

3 Where: B = the school district black population B i = the black population of school i T i = the total population of school i Exposure Indices W i Where: B = the school district black population B i = the black population of school i W i = the white population of school i T i = the total population of school i Missing or Inconsistent Data The historical data from the University of Wisconsin included missing values for some cases in some years. Where data for school year were available, we used it. If not, we used either or, in a few cases, Because compliance with NCES reporting is voluntary for state education agencies, statewide gaps in the reporting of student racial composition occur on an annual basis. Student racial composition was not reported for Idaho for any year between 1989 and Therefore Idaho was omitted from our analysis. In 1989 schools in the following states did not report student racial composition: Georgia, Maine, Missouri, Montana, South Dakota, Virginia, and Wyoming. In 1999, schools in Tennessee did not report student racial composition. For these states we merged the student membership and racial composition data from the next year in which these variables were available. The table below shows the states that did not report racial composition for each time period, and the years in which data were extracted and added to the and files Montana, Wyoming ( ) Tennessee ( ) Missouri ( ) South Dakota, Virginia ( ) Georgia, Maine ( )

4 The historical data contain some internally inconsistent values. Certain adjustments were applied to them: a. When a school district has no elementary students for a group, the Index of Dissimilarity measures involving the group are treated as missing. The group s Isolation Index and the measures of exposure of this group to other groups are also treated as missing. Because there are no group members, exposure of other (non-missing) groups to this group is set to zero. b. When a school district has only one group, the Isolation Index for the group is 100 and the group s exposure to other groups is 0. All other indices are treated as missing. c. When the non-hispanic white exposure to minority students is greater than the percentage of minority students (which is logically impossible), it is treated as missing. d. Non-Hispanic white exposure to minority students should be equal to the sum of whites exposure to each minority group taken separately. When the calculated value provided in the file was more than two points lower or higher than the sume of exposures to individual minority groups, the value is treated as missing. e. When the non-hispanic white Isolation is negative (another logically impossible value), it is treated as missing. f. For school districts with only one school, the only valid information is the number of students in each race/ethnic group. There can be no segregation between schools, so all Index of Dissimilarity measures are set to zero. Exposure is simply the percentage of each group in the total school population. g. The Exposure Index for minority students to non-hispanic whites should be equal to a weighted average of each minority group s exposure to whites (where the weight is the size of that minority group s enrollment in the district). In some cases this expectation was violated. These were revised as follows: 1. When calculated measure is greater than the percentage of non-hispanic whites in the district (a logically impossible value), all exposure indices of minority children to whites are treated as missing. 2. When only the weighted average or the original minority-to-white exposure is greater than the percentage of whites, the other measure is used. 3. When neither the weighted average nor the original minority-to-white exposure is greater than the percentage of whites, but the difference between the two alternative measures is greater than two points, the weighted average is used. Geographic Units of Analysis This web site provides data for school districts and for metropolitan regions (more precisely: Metropolitan Statistical Areas, either MSAs or PMSAs, as defined by the U.S. Census Bureau in the year 2000).

5 Where we could establish that school districts had consolidated or fragmented over time, based on the geographic location and names of districts, we have recombined schools in and to create equivalent units. School districts from the data set were linked to those from NCES using the following identifiers: the district NCES code, the zip code of the district office, and the name of the district. In reporting metropolitan-level results, it is important to use a constant geography for the boundaries of metropolitan regions. We used the 2000 definitions for the metropolitan region, for the central city or central cities as defined by the Census Bureau, and for the suburban remainder of the metro. We matched individual schools to metro areas based on a public use file from the Census Bureau containing codes for the nation s 331 MSAs and corresponding State FIPS and mailing zip codes. Because the NCES CCD provides the State FIPS and mailing zip codes for each public school, we were able to match the schools to the MSA file. We then aggregated the school data to the MSA level. A central city/suburban code provided by NCES was used to determine whether a school was in the city or suburban portion of the metropolitan region. Data were aggregated on this basis to create city and suburban indices in and Calculating segregation indices for metropolitan regions in required additional computation. The original data set provided information for school districts, not individual schools. Therefore data were aggregated to metropolitan regions for entire school districts. Because many districts are known to cross over the city-suburban boundary, it was not possible to calculate separate city and suburban indices for Exposure Indices and Isolation Indices are simply weighted averages of group members exposure to other groups. Therefore the school district-level measures in the original file can be aggregated precisely to metropolitan regions. One difficulty is how to handle missing data. Where data are available for most school districts in a metropolitan region, can a reliable exposure index at the metro level be calculated if data are missing for some school districts in that region? We have taken a conservative approach to missing data. If data are available for exposure indices of a specific group in districts where at least 90% of the region s group members are enrolled, we have calculated and provided the indices for that group. The most common missing values are indices of exposure of blacks, Hispanics, and Asians to whites in Dissimilarity Indices can be calculated exactly only from the original school-level data. Therefore, the metropolitan Dissimilarity Indices for provided here are estimates based on simulations of data for individual schools. These estimates were developed through models in which every district was assumed to have only two schools a school in which one racial/ethnic group is over-represented, and a school in which it is under-represented. This is a reasonable assumption, because calculation of the Index of Dissimilarity for any district could be conducted in two ways that lead to the same result:

6 First, as shown in the formula above, one can compute for every school the degree to which one group is over-represented or under-represented compared to another group. Then the absolute values of these amounts are summed and divided by two. Second, one could combine the enrollments for all schools in which a group is over-represented, and compute the degree to which the group is over-represented in this aggregate. One could then combine the enrollments for all schools in which a group is under-represented, and compute the degree to which the group is under-represented in this aggregate. The absolute values of these (two) amounts should be the same and equal to the Index of Dissimilarity as calculated in the more usual way. Our approach is to estimate, for every school district, how many students of group A and group B are enrolled in each of the district s simulated two schools. We then compute metropolitan-level segregation indices from the simulated school-level data. The simulation is based on two pieces of information. One is the total number of each group in the district. In the example below for blacks and whites these are expressed as black T and white T. The other is the value of the Index of Dissimilarity (D) for the two groups in this district. In fact, there are multiple solutions to this simulation that would be consistent with this information because the size of each school is not fixed. We use an estimate that is approximately midway among these solutions, in which we assume that the first school includes at least half of the total district black population, plus an additional number that is larger in proportion to the extent of segregation in the district. We assume that the first school includes no more than half of the total district white population, less an additional number that is larger in proportion to the extent of segregation in the district: black 1 = (.5+(D/200))* black T white 1 = (.5-(D/200))* white T The numbers of black and white students in the simulated second school are simply the remainders. We tested the reliability of this estimate using real data from and The average simulated value of D across all metropolitan regions was equal to the actual value of D. In most cases it was within one point of the actual D, and in very few cases was it off by more than three points. This reliability stems from partly from the fact that an important component of metropolitan segregation is segregation between districts. This component is accurately captured in the district-level data. Variations in how each group is allocated between two schools as long as they preserve the district s dissimilarity index have little impact on the calculation of the metropolitan value.

APPENDIX A. Tables. Appendix A Tables 119

118 The Condition of Education 2012 APPENDIX A Tables Appendix A Tables 119 Indicator 1 Enrollment Trends by Age Table A-1-1. Percentage of the population ages 3 34 enrolled in school, by age group: October

The Changing Racial and Ethnic Composition of U.S. Public Schools

Report AUGUST 30, 2007 The Changing Racial and Ethnic Composition of U.S. Public Schools Richard Fry Senior Research Associate, Pew Hispanic Center The recent U.S. Supreme Court decisions on school desegregation

Oklahoma City Public Schools Oklahoma

Oklahoma City Public Schools Oklahoma PAGE DATA 2 Background Information 3 Trends in Overall Reading, Mathematics, and Science Proficiency READING 4 Reading Performance and Improvement at the Proficient

Broward County Public Schools Florida

Broward County Public Schools Florida PAGE DATA 2 Background Information 3 Trends in Overall Reading, Mathematics, and Science Proficiency READING 4 Reading Performance and Improvement at the Proficient

San Diego Unified School District California

San Diego Unified School District California PAGE DATA 2 Background Information 3 Trends in Overall Reading, Mathematics, and Science Proficiency READING 4 Reading Performance and Improvement at the Proficient

High School Graduation Rates in Maryland Technical Appendix

High School Graduation Rates in Maryland Technical Appendix Data All data for the brief were obtained from the National Center for Education Statistics Common Core of Data (CCD). This data represents the

STATISTICAL BRIEF #137

Medical Expenditure Panel Survey STATISTICAL BRIEF #137 Agency for Healthcare Research and Quality August 26 Treatment of Sore Throats: Antibiotic Prescriptions and Throat Cultures for Children under 18

Educational Attainment in the United States: 2003

Educational Attainment in the United States: 2003 Population Characteristics Issued June 2004 P20-550 The population in the United States is becoming more educated, but significant differences in educational

Employment and Earnings of Registered Nurses in 2010

Employment and Earnings of Registered Nurses in 2010 Thursday, May 25, 2011 The Bureau of Labor Statistics (BLS) released 2010 occupational employment data on May 17, 2011. This document provides several

April 2014. For Kids Sake: State-Level Trends in Children s Health Insurance. A State-by-State Analysis

April 2014 For Kids Sake: State-Level Trends in Children s Health Insurance A State-by-State Analysis 2 STATE HEALTH ACCESS DATA ASSISTANCE CENTER Contents Executive Summary... 4 Introduction... 5 National

SECTION 1. Participation in Education

The indicators in this section of The Condition of Education report trends in enrollments across all levels of education. Enrollment is a key indicator of the scope of and access to educational opportunities

Data Collection Summary

Education for Children and Youths Program Data Collection Summary From the School Year 2011 12 Federally Required State Data Collection for the McKinney Vento Education Assistance Improvements Act of 2001

CIVIL RIGHTS DATA COLLECTION

U.S. Department of Education Office for Civil Rights CIVIL RIGHTS DATA COLLECTION Data Snapshot: Early Childhood Education Issue Brief No. 2 (March 2014) For other data snapshots in the series, visit the

School to College. Alaska DIPLOMAS COUNT. Can State P-16 Councils Ease the Transition? 2008 With Support from the Bill & Melinda Gates Foundation

Alaska School to College Can State P-16 Councils Ease the Transition? A Special Supplement to Education Week s DIPLOMAS COUNT 2008 With Support from the Bill & Melinda Gates Foundation About Diplomas Count

The Multigroup Entropy Index (Also Known as Theil s H or the Information Theory Index)

The Multigroup Entropy Index (Also Known as Theil s H or the Information Theory Index) John Iceland 1 University of Maryland December 2004 1 These indexes were prepared under contract to the U.S. Census

School Enrollment: 2000

School Enrollment: 2000 Census 2000 Brief Issued August 2003 C2KBR-26 According to Census 2000, more than onefourth of the U.S. population aged 3 and older attended in the spring of 2000. The 76.6 million

STATE DATA CENTER. District of Columbia MONTHLY BRIEF

District of Columbia STATE DATA CENTER MONTHLY BRIEF N o v e m b e r 2 0 1 2 District Residents Health Insurance Coverage 2000-2010 By Minwuyelet Azimeraw Joy Phillips, Ph.D. This report is based on data

University System of Georgia Enrollment Trends and Projections to 2018

University System of Georgia Enrollment Trends and Projections to 2018 Introduction: Projections of USG Headcount Enrollment Enrollment projections use past trends and information on other variables to

NCES 2011-034 U.S. DEPARTMENT OF EDUCATION

NCES 2011-034 U.S. DEPARTMENT OF EDUCATION The Condition of Education 2011 in Brief MAY 2011 Editors Susan Aud National Center for Education Statistics Gretchen Hannes American Institutes for Research

Arizona Fact Sheet. I. Enrollment and Growth since 2000: Racial/Ethnic Composition of Charter School:

Arizona Fact Sheet I. Enrollment and Growth since 2000: In Arizona, charter school enrollment increased from 45,596 students in 2000-01 to 98,728 in 2007-08 (a 117% increase from 2000 to 2007), and 9.2%

WAGE REPORTS FOR WORKERS COVERED BY FEDERAL OLD-AGE INSURANCE IN 1937

WAGE REPORTS FOR WORKERS COVERED BY FEDERAL OLD-AGE INSURANCE IN 937 JOHN J. CORSON* 3 DURING 937 approximately 3 million men and women worked in employment covered by Federal old-age insurance. They received

Wisconsin s High School Graduating Class: Projections by Race to 2018

Wisconsin s High School Graduating Class: Projections by Race to 2018 Clare Huhn Academic Planning and Analysis Office of the Provost University of Wisconsin-Madison April, 2004 INTRODUCTION The current

Census Data on Uninsured Women and Children September 2009

March of Dimes Foundation Office of Government Affairs 1146 19 th Street, NW, 6 th Floor Washington, DC 20036 Telephone (202) 659-1800 Fax (202) 296-2964 marchofdimes.com nacersano.org Census Data on Uninsured

Chart Pack. Table of Contents: In States That Don t Expand Medicaid, Who Gets New Coverage Assistance Under the ACA and Who Doesn t?

In States That Don t Expand Medicaid, Who Gets New Coverage Assistance Under the ACA and Who Doesn t? Chart Pack Table of Contents: Table 1. Median Income of Uninsured Adults, by State and Eligibility

Characteristics of Public and Private Elementary and Secondary School Teachers in the United States:

NCES 2013-314 U.S. DEPARTMENT OF EDUCATION Characteristics of Public and Private Elementary and Secondary School Teachers in the United States: Results From the 2011 12 Schools and Staffing Survey First

What is the Health Insurance Continuation Program (HICP)?

What is the Health Insurance Continuation Program (HICP)? HICP is one of the five program components specified in the Ryan White CARE Act for which Title II funds may be spent. Eligible Metropolitan Areas

RECONNECTING OPPORTUNITY YOUTH

RECONNECTING OPPORTUNITY YOUTH Data Reference Guide March 2015 Patrick Sims Opportunity Youth Opportunity youth are young adults aged 16-24 years who are neither connected to school nor work. These young

Full Health Indicators Report for DeSoto County, MS

Full Health Indicators Report for DeSoto County, MS DeSoto County, MS Social & Economic Factors Economic and social insecurity often are associated with poor health. Poverty, unemployment, and lack of

Race and Ethnicity. Hispanics were Ohio s fastest growing racial/ethnic group, growing by 40.2%

Race and Ethnicity Quick Glimpse... While still predominantly white, Ohio s has diversified since 2000. The number of White, non-s declined in Ohio & all 7 cities since 2000 s were Ohio s fastest growing

The Registered Nurse Population

The Registered Nurse Population Initial Findings from the 2008 National Sample Survey of Registered Nurses March 2010 U.S. Department of Health and Human Services Health Resources and Services Administration

BEATING THE ODDS. Overview. September 23, 2015. Richard Woods, Georgia s School Superintendent. Educating Georgia s Future gadoe.

BEATING THE ODDS Overview September 23, 2015 What Makes a System Charter School High-Quality? Strong Academic Results Financial Sustainability Well- Trained and High- Functioning Local School Governing

PRIVATE SCHOOL RACIAL ENROLLMENTS AND SEGREGATION

PRIVATE SCHOOL RACIAL ENROLLMENTS AND SEGREGATION Sean F. Reardon Pennsylvania State University John T. Yun Harvard Graduate School of Education June 26, 2002 The Civil Rights Project Harvard University

TECHNICAL ASSISTANCE BULLETIN. Disproportionality Rates for Children of Color in Foster Care

TECHNICAL ASSISTANCE BULLETIN Disproportionality Rates for Children of Color in Foster Care MAY 2011 Brief Authored by: Joshua Padilla, M.A. Alicia Summers, Ph.D. Research Assistant Research Associate

Highlights and Trends: ASHA Counts for Year End 2009

Highlights and Trends: ASHA Counts for Year End 2009 Constituents -- How many are there? How have the numbers changed? v ASHA currently represents 140,039 speech-language pathologists, audiologists, and

THE WTCHR ENROLLMENT SUMMARY January 31, 2005

THE WTCHR ENROLLMENT SUMMARY January 31, 2005 This report summarizes the enrollment characteristics of all 71,609* people who registered with the World Trade Center Health Registry (WTCHR). Enrollment

NON-RESIDENT INDEPENDENT, PUBLIC, AND COMPANY ADJUSTER LICENSING CHECKLIST

NON-RESIDENT INDEPENDENT, PUBLIC, AND COMPANY ADJUSTER LICENSING CHECKLIST ** Utilize this list to determine whether or not a non-resident applicant may waive the Oklahoma examination or become licensed

State Tax Information

State Tax Information The information contained in this document is not intended or written as specific legal or tax advice and may not be relied on for purposes of avoiding any state tax penalties. Neither

Parental Educational Attainment and Higher Educational Opportunity

Parental Educational Attainment and Higher Educational Opportunity Federal higher education policy recognizes certain student characteristics as limiting higher educational opportunity, and has created

State Tax Information

State Tax Information The information contained in this document is not intended or written as specific legal or tax advice and may not be relied on for purposes of avoiding any state tax penalties. Neither

National Sample Survey of Registered Nurses March 2004. Preliminary Findings

The Registered Nurse Population: National Sample Survey of Registered Nurses March 2004 Preliminary Findings Preliminary Findings 2004 National Sample Survey of Registered Nurses The (NSSRN) is the Nation

California Fact Sheet

California Fact Sheet I. Enrollment and Growth since 2000 In California, charter school enrollment increased from 112,065 students in 2000-01 to 238,226 in 2007-08 (113 increase from 2000-2007). In 2007-08,

Social Work Salaries by Race & Ethnicity

N A S W C e n t e r f o r W o r k f o r c e S t u d i e s & S o c i a l W o r k P r a c t i c e Social Work Salaries by Race & Ethnicity occupational profile 2011 National Association of Social Workers.

The States and Their Community Colleges

EDUCATION POLICY BRIEF May 2008 The Nelson A. Rockefeller Institute of Government The public policy research arm of the State University of New York The States and Their Community Colleges Every state

U.S. Teenage Pregnancy Statistics Overall Trends, Trends by Race and Ethnicity And State-by-State Information

U.S. Teenage Pregnancy Statistics Overall Trends, Trends by Race and Ethnicity And State-by-State Information The Alan Guttmacher Institute 120 Wall Street, New York, NY 10005 www.guttmacher.org Updated

Public School Teacher Experience Distribution. Public School Teacher Experience Distribution

Public School Teacher Experience Distribution Lower Quartile Median Upper Quartile Mode Alabama Percent of Teachers FY Public School Teacher Experience Distribution Lower Quartile Median Upper Quartile

Higher Education in Florida: Trends and Key Issues. 1990-2014 The LeRoy Collins Institute Dr. Carol Weissert, Director

Higher Education in Florida: Trends and Key Issues 1990-2014 The LeRoy Collins Institute Dr. Carol Weissert, Director Key Observations Florida universities are more accessible than those in many other

High School Graduation and the No Child Left Behind Act

Connecticut The Policy Context High School Graduation and the No Child Left Behind Act The federal No Child Left Behind Act (NCLB), enacted in 2002, holds states and the schools under their jurisdictions

In Brief. Contraception Counts: Ranking State Efforts

In Brief 2006 Series, No. 1 Contraception Counts: ing Efforts Unintended pregnancy is a major public health and social problem in the United s. Of the six million pregnancies that occur among American

Health Coverage for the Hispanic Population Today and Under the Affordable Care Act

on on medicaid and and the the uninsured Health Coverage for the Population Today and Under the Affordable Care Act April 2013 Over 50 million s currently live in the United States, comprising 17 percent

Certificate Production and the Race toward Higher Degree Attainment December 2010

State Higher Education Executive Officers Certificate Production and the Race toward Higher Degree Attainment December 2010 ----- A report from the State Higher Education Executive Officers utilizing the

Population, by Race and Ethnicity: 2000 and 2011

Table 1 Population, by Race and Ethnicity: 2000 and 2011 Universe: 2000 and 2011 resident population 2011 population 2000 population Percent, 2011 Percent, 2000 Hispanic 51,927,158 35,204,480 16.7 12.5

The Performance and State Policies Of Higher Education in Illinois: Insights from a Five- State Policy Review Project

The Performance and State Policies Of Higher Education in Illinois: Insights from a Five- State Policy Review Project Laura W. Perna Joni Finney Patrick Callan With Assistance from: Michael Armijo, Jamey

STATISTICAL BRIEF #273

STATISTICAL BRIEF #273 December 29 Employer-Sponsored Health Insurance for Employees of State and Local Governments, by Census Division, 28 Beth Levin Crimmel, M.S. Introduction Employees of state and

other distance education innovations, have changed distance education offerings.

WEB TABLES DEPARTMENT OF EDUCATION JUNE 2014 NCES 2014-023 Enrollment in Distance Education Courses, by State: Fall 2012 Postsecondary enrollment in, particularly those offered online, has rapidly increased

Educational Attainment: Understanding the Data

Educational Attainment: Understanding the Data Sandy Baum George Washington University Alisa Federico Cunningham Independent Consultant Courtney Tanenbaum American Institutes for Research working paper

THE FUTURE OF HIGHER EDUCATION IN TEXAS

THE FUTURE OF HIGHER EDUCATION IN TEXAS WOODY L. HUNT, CHAIRMAN HIGHER EDUCATION STRATEGIC PLANNING COMMITTEE September 17, 2015 1 Let s talk about higher education in Texas and the educational competitiveness

Neighborhood Diversity Characteristics in Iowa and their Implications for Home Loans and Business Investment

Neighborhood Diversity Characteristics in Iowa and their Implications for Home Loans and Business Investment Liesl Eathington Dave Swenson Regional Capacity Analysis Program ReCAP Department of Economics,

Iowa School District Profiles. Central City

Iowa School District Profiles Overview This profile describes enrollment trends, student performance, income levels, population, and other characteristics of the Central City public school district. The

Summary and Highlights...2. Introduction...3. I. Methodology, Limitations and Issues of Interpreting the HSA Account Data...3

February 2009 A Preliminary Analysis of Health Savings Account Balances, Contributions and Withdrawals 2007 & January June 2008 TABLE OF CONTENTS Summary and Highlights.................................................2

Net-Temps Job Distribution Network

Net-Temps Job Distribution Network The Net-Temps Job Distribution Network is a group of 25,000 employment-related websites with a local, regional, national, industry and niche focus. Net-Temps customers'

Cash Rents Methodology and Quality Measures

ISSN: 2167-129X Cash Rents Methodology and Quality Measures Released August 1, 2014, by the National Agricultural Statistics Service (NASS), Agricultural Statistics Board, United States Department of Agriculture

Institution: University of Connecticut (129020) Part C Selection

Fall Enrollment 2013-14 Overview Fall Enrollment Overview The Fall Enrollment component collects student enrollment counts by level of student, enrollment status, gender and race/ethnicity. In addition,

Population, by Race and Ethnicity: 2000 and 2010

Table 1 Population, by Race and Ethnicity: 2000 and 2010 Universe: 2000 and 2010 resident population 2010 population 2000 population Percent, 2010 Percent, 2000 Hispanic 50,729,570 35,204,480 16.4 12.5

Participation and pass rates for college preparatory transition courses in Kentucky

U.S. Department of Education March 2014 Participation and pass rates for college preparatory transition courses in Kentucky Christine Mokher CNA Key findings This study of Kentucky students who take college

Demographic Profile of ASHA Members Providing Bilingual Services March 2016

Demographic Profile of ASHA Members Providing Bilingual Services March 2016 Introduction State data on the number of bilingual speech-language pathologists (SLPs) and audiologists are frequently requested

Revenues and Expenditures for Public Elementary and Secondary Education: School Year 2011 12 (Fiscal Year 2012) First Look

NCES 2014-301 U.S. DEPARTMENT OF EDUCATION Revenues and Expenditures for Public Elementary and Secondary Education: School Year 2011 12 (Fiscal Year 2012) First Look Revenues and Expenditures for Public

FALLING THROUGH THE NET II: NEW DATA ON THE DIGITAL DIVIDE NATIONAL TELECOMMUNICATIONS AND INFORMATION ADMINISTRATION PROJECT COORDINATORS

FALLING THROUGH THE NET II: NEW DATA ON THE DIGITAL DIVIDE NATIONAL TELECOMMUNICATIONS AND INFORMATION ADMINISTRATION PROJECT COORDINATORS James W. McConnaughey, Senior Economist Office of Policy Analysis

A Study About Identity Theft Prepared For: The National Foundation for Credit Counseling Prepared By: Harris Interactive Inc. Public Relations Research 1 INTRODUCTION AND METHODOLOGY This Identity Theft

Opportunities Suspended: The Disparate Impact of Disciplinary Exclusion from School EXECUTIVE SUMMARY

Opportunities Suspended: The Disparate Impact of Disciplinary Exclusion from School By Daniel J. Losen 1 and Jonathan Gillespie 2 EXECUTIVE SUMMARY Does anybody know how many students were suspended from

FACTBOOK. The Condition. Excelencia in Education www.edexcelencia.org

FACTBOOK The Condition Education2015 of Latinos in Excelencia in Education www.edexcelencia.org 1 THE CONDITION OF LATINOS IN EDUCATION: 2015 FACTBOOK JANUARY 2015 COMPILED BY: Deborah A. Santiago, COO

Projections of Education Statistics to 2022

Projections of Education Statistics to 2022 Forty-first Edition 18 018 2019 2019 2020 2020 2021 2021 2022 2022 NCES 2014-051 U.S. DEPARTMENT OF EDUCATION Projections of Education Statistics to 2022 Forty-first

Health Insurance Coverage. America. 2003 Data Update. Medicaid and the Uninsured

Health Insurance Coverage in America 2003 Data Update November 2004 T H E K A I S E R C O M M I S S I O N O N Medicaid and the Uninsured kaiser commission on medicaid and the uninsured Beginning with our

THE CHARACTERISTICS OF PERSONS REPORTING STATE CHILDREN S HEALTH INSURANCE PROGRAM COVERAGE IN THE MARCH 2001 CURRENT POPULATION SURVEY 1

THE CHARACTERISTICS OF PERSONS REPORTING STATE CHILDREN S HEALTH INSURANCE PROGRAM COVERAGE IN THE MARCH 2001 CURRENT POPULATION SURVEY 1 Charles Nelson and Robert Mills HHES Division, U.S. Bureau of the

State Government Tax Collections Summary Report: 2013

State Government Tax Collections Summary Report: 2013 Governments Division Briefs By Sheila O Sullivan, Russell Pustejovsky, Edwin Pome, Angela Wongus, and Jesse Willhide Released April 8, 2014 G13-STC

Three-Year Moving Averages by States % Home Internet Access

Three-Year Moving Averages by States % Home Internet Access Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana

Revenues and Expenditures for Public Elementary and Secondary Education: School Year 2012 13 (Fiscal Year 2013)

Revenues and Expenditures for Public Elementary and Secondary Education: School Year 2012 13 (Fiscal Year 2013) First Look NCES 2015-301 U.S. DEPARTMENT OF EDUCATION Revenues and Expenditures for Public

STATISTICAL BRIEF #117

Medical Expenditure Panel Survey STATISTICAL BRIEF #117 Agency for Healthcare Research and Quality March 2006 Children s Dental Visits and Expenses, United States, 2003 Erwin Brown, Jr. Introduction Regular

Office of Institutional Research & Planning

NECC Northern Essex Community College NECC College Math Tutoring Center Results Spring 2011 The College Math Tutoring Center at Northern Essex Community College opened its doors to students in the Spring

Economic Impact and Variation in Costs to Provide Community Pharmacy Services

Economic Impact and Variation in Costs to Provide Community Pharmacy Services Todd Brown MHP, R.Ph. Associate Clinical Specialist and Vice Chair Department of Pharmacy Practice School of Pharmacy Northeastern

Diversity in South Texas

Diversity in South Texas James E. Bonson, MPAS, PA-C Assistant Professor/Clinical Coordinator School of Health Professions Department of Physician Assistant Studies UT Health Science Center - San Antonio

Enrollment Projections. New York City Public Schools. 2012-13 to 2021-22. Volume II

Enrollment Projections for the New York City Public Schools 2012-13 to 2021-22 Volume II Prepared for the New York City School Construction Authority February 2013 2 TABLE OF CO TE TS Page Executive Summary...

\$7.5 appropriation \$6.5 2011 2012 2013 2014 2015 2016. Preschool Development Grants

School Readiness: High-Quality Early Learning Head Start \$10.5 \$9.5 \$10.1 +\$1.5 +17.7% \$8.5 \$7.5 +\$2.1 +27.0% \$6.5 for fiscal year 2010 Included in the budget is \$1.078 billion to ensure that every Head

Facing Cost-Sensitive Shoppers, Health Plan Providers Must Demonstrate Value

w Reports: Health Insurance Marketplace Exchange Enrollment Satisfaction Improves Significantly in Second Year Facing Cost-Sensitive Shoppers, Health Plan Providers Must Demonstrate Value WESTLAKE VILLAGE,

Education Program Beneficiaries

Education Program Beneficiaries Prepared by the National Center for Veterans Analysis and Statistics January 2014 Current VA Education Programs The Post-9/11 GI Bill - Chapter 33, sections 3301-3324, of

Teacher Attrition and Mobility:

NCES 2014-077 U.S. DEPARTMENT OF EDUCATION Teacher Attrition and Mobility: Results From the 2012 13 Teacher Follow-up Survey First Look Teacher Attrition and Mobility: Results From the 2012 13 Teacher

Racial/Ethnic Disproportionality in Special Education METROPOLITAN CENTER FOR URBAN EDUCATION. Data Analysis Workbook. Dr. Edward Fergus Roey Ahram

Racial/Ethnic Disproportionality in Special Education METROPOLITAN CENTER FOR URBAN EDUCATION Data Analysis Workbook Dr. Edward Fergus Roey Ahram Racial/Ethnic Disproportionality in Special Education Data

In 2013, 75.9 million workers age 16 and older in the. Characteristics of Minimum Wage Workers, 2013. Highlights CONTENTS

U.S. BUREAU OF LABOR STATISTICS M A R C H 2 0 1 4 R E P O R T 1 0 4 8 Characteristics of Minimum Wage Workers, 2013 below the figure of 13.4 percent in 1979, when data were first collected on a regular

STATISTICAL BRIEF #435

STATISTICAL BRIEF #435 April 2014 Premiums and Employee Contributions for Employer-Sponsored Health Insurance: Private versus Public Sector, 2012 Karen E. Davis, MA Introduction Employer-sponsored health

State Government Subsidies for Retirement Plans Sponsored by Local Governments. National Conference of State Legislatures, January 2010

Government Subsidies for Retirement Plans Sponsored by Local Governments National Conference of State Legislatures, January 2010 In many states, city and county governments, independent school districts,

Workers Compensation State Guidelines & Availability

ALABAMA Alabama State Specific Release Form Control\Release Forms_pdf\Alabama 1-2 Weeks ALASKA ARIZONA Arizona State Specific Release Form Control\Release Forms_pdf\Arizona 7-8 Weeks by mail By Mail ARKANSAS

Knocking. at the College Door WICHE. Projections of High School Graduates by Sex and for Major Metropolitan Areas. October 2013

Knocking at the College Door Projections of High School Graduates by Sex and for Major Metropolitan Areas October 2013 WICHE Western Interstate Commission for Higher Education WICHE Knocking at the College

LIKELY EFFECTS OF PORTABILITY ON DISTRICTS TITLE I ALLOCATIONS

LIKELY EFFECTS OF PORTABILITY ON DISTRICTS TITLE I ALLOCATIONS edtrust.org BY NATASHA USHOMIRSKY AND DAVID WILLIAMS FEBRUARY 2015 Introduction At the core of the federal Title I program is a bargain: a

Computer and Internet Use in the United States: 2003

Computer and Internet Use in the United States: 2003 Special Studies Issued October 2005 P23-208 Introduction This report provides information about the characteristics of households and people who have

Identifying Top Performing High Schools for the Best High Schools Rankings

Identifying Top Performing High Schools for the Best High Schools Rankings Analytical Methodology and Technical Appendices Prepared for U.S. News & World Report by RTI International May 2015 Acknowledgments

Assessing the Enrollment Trends and Financial Impacts of Charter Schools on Rural and Non-Rural School Districts in Pennsylvania

Assessing the Enrollment Trends and Financial Impacts of Charter Schools on Rural and Non-Rural School Districts in Pennsylvania By: Kai A. Schafft, Ph.D., Erica Frankenberg, Ed.D., Ed Fuller, Ph.D., William