National Neighborhood Data Archive (NaNDA): Neighborhood-School Gap by Census Tract, United States, 2009-2010 and 2015-2016

Principal Investigator(s):  View help for Principal Investigator(s) Iris Gomez-Lopez, University of Michigan. Institute for Social Research; 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; 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
  Supplemental-Data 12/10/2021 12:51:PM
NaNDA_NS_Gap_by_Census_Tract_2009-2010_2015-2016_v1-1.pdf application/pdf 575.9 KB 09/29/2022 10:35:AM
nanda_nsgap0916T_02P.sas7bdat application/x-sas-data 14 MB 12/03/2021 09:07:AM
nanda_nsgap_tract_0910_1516_02P.dta application/x-stata-dta 8 MB 12/03/2021 10:59:AM
nanda_nsgap_tract_0910_1516_02P_csv_with_readme.zip application/zip 4.7 MB 12/03/2021 09:06:AM

Project Citation: 

Gomez-Lopez, Iris, Kim, Min Hee, Li, Mao, Sylvers, Dominique, Esposito, Michael, Clarke, Philippa, and Chenoweth, Megan. National Neighborhood Data Archive (NaNDA): Neighborhood-School Gap by Census Tract, United States, 2009-2010 and 2015-2016. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-12-10. https://doi.org/10.3886/E156043V1

Project Description

Summary:  View help for Summary This dataset contains measures of neighborhood-school gap for 2009-2010 and 2015-2016. Neighborhood-school gap (NS gap) refers to the discrepancy between the demographics of a public school and its surrounding community. For example, if 60% of a school’s student body is Black, but 30% of the neighborhood population is Black, the school has a positive Black neighborhood-school gap. The dataset measures gaps in race and poverty between elementary school student populations and the census tracts that those elementary schools serve. Data is at the census tract level. Supplemental data containing component variables used to calculate NS gap at the school and block group level is also available.

A curated version of this data is available through ICPSR at: http://dx.doi.org/10.3886/ICPSR38579.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; school choice
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 2009 – 2016 (2009-2010, 2015-2016)
Collection Date(s):  View help for Collection Date(s) 2020 – 2021
Universe:  View help for Universe Census tracts 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 attendance boundaries for 2009-2010 were obtained from the School Attendance Boundary Information System (SABINS) through the IPUMS National Historical Geographic Information System (NHGIS).
  • School attendance boundaries for 2015-2016 come from the National Center for Education Statistics.
  • We obtained administrative data on elementary schools from the Department of Education’s Common Core of Data (CCD).
  • Data on neighborhood demographics comes from the American Community Survey five-year summary files. For compatibility with other NaNDA datasets, we used ACS 2008-2012 to create 2009-2010 NS gap measures, and ACS 2013-2017 to create 2015-2016. 
  • We used the 2010 TIGER/Line shapefiles for census block groups and aggregated measures to the census tract level.
Unit(s) of Observation:  View help for Unit(s) of Observation year, census tract
Geographic Unit:  View help for Geographic Unit census tract

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