National Neighborhood Data Archive (NaNDA): School Counts and Characteristics by School District, United States, 2000-2018

Principal Investigator(s):  View help for Principal Investigator(s) Min Hee Kim, University of California San Francisco Philip R. Lee Institute for Health Policy Studies; Mao Li, University of Michigan. Institute for Social Research; Dominique Sylvers, University of Michigan. Institute for Social Research; Michael Esposito, Washington University in St. Louis; Iris Gomez-Lopez, University of Michigan. Institute for Social Research; Philippa Clarke, University of Michigan. Institute for Social Research; Megan Chenoweth, University of Michigan. Institute for Social Research

Version:  View help for Version V1

Name File Type Size Last Modified
NaNDA_School_Characteristics_by_District_2000-2018_v1-0.pdf application/pdf 221.3 KB 12/10/2021 09:17:AM
nanda_schools0018D_01P.sas7bdat application/x-sas-data 114.1 MB 12/03/2021 09:01:AM
nanda_schools_district_2000-2018_01P.dta application/x-stata-dta 83.8 MB 12/03/2021 10:26:AM
nanda_schools_district_2000-2018_01P_csv_with_readme.zip application/zip 21.9 MB 12/03/2021 08:57:AM

Project Citation: 

Kim, Min Hee, Li, Mao, Sylvers, Dominique, Esposito, Michael, Gomez-Lopez, Iris, Clarke, Philippa, and Chenoweth, Megan. National Neighborhood Data Archive (NaNDA): School Counts and Characteristics by School District, United States, 2000-2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-12-10. https://doi.org/10.3886/E156042V1

Project Description

Summary:  View help for Summary This dataset contains data on schools and school districts within the United States from 2000 through 2018. Key variables include district-level enrollment by race and ethnicity; numbers of teachers and counselors; teacher-student ratios; counts of public, private, and charter schools within districts; and expenditures and revenue, including per-pupil revenue.

A curated version of this data is available through ICPSR at https://doi.org/10.3886/ICPSR38569.v1


Funding Sources:  View help for Funding Sources United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (RF1-AG-057540); United States Department of Health and Human Services. Administration for Community Living. National Institute on Disability, Independent Living, and Rehabilitation Research (90RTHF0001)

Scope of Project

Subject Terms:  View help for Subject Terms public schools; private schools; education; school enrollments
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 2000 – 2018
Collection Date(s):  View help for Collection Date(s) 2020 – 2021
Universe:  View help for Universe School districts in the United States, including U.S. island territories.
Data Type(s):  View help for Data Type(s) aggregate data

Methodology

Data Source:  View help for Data Source
  • School district fiscal and nonfiscal data, and counts of public, charter, and magnet schools from 2000-2018, come from the U. S. Department of Education’s Common Core of Data (CCD).
  • Private school counts come from the Private School Universe Survey (PSS).
  • School district boundary shapefiles from the National Center for Education Statistics were used to assign schools to a school district.
Unit(s) of Observation:  View help for Unit(s) of Observation year, school district
Geographic Unit:  View help for Geographic Unit school district

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Published Versions

V1 [2021-12-10]

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DDI 2.5

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This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.