For Researchers

This page provides links to all CSDH data, with crosswalk and related files, to be used easily in research. If you use this database, please cite as “COVID-19 School Data Hub, School Learning Model Database”. Additionally, if you are planning to use the data for research purposes, please consider completing this CSDH Data Use Form so we can be in touch with data updates.

All State School and District COVID-19 Case Data
All State Masking Data

Other Public Data

Below we provide additional data sources which can be merged with the school learning model data. Except where noted, these files include NCES IDs.

2019-20 Common Core of Data (CCD) School and District Demographic Files

The 2019-20 school and district demographic files from the Common Core of Data include basic identifying information for each public school and district, including the NCES identification numbers, location information, and demographic information. In addition, these files include student enrollment by race/ethnicity; information about teacher, staff, and administrator count; and the number of schools included as part of each district. The 2019-20 files are the most recent available.

Learn More About the Common Core of Data (CCD)

Download NCES CCD District Demographics, 2019-20

Download NCES CCD School Demographics, 2019-20

SafeGraph Data

SafeGraph data measure in-person visits to K-12 public schools in the United States from January 2019 through December 2020 using aggregated, anonymized mobile phone data released each month. To determine whether the school is engaged in distance learning during the pandemic, researchers compared year-over-year change in attendance to each school. These data are compiled into the publicly accessible U.S. School Closure and Distance Learning Database, covering 94% of school districts spanning 98% of counties in the United States.

Visit the U.S. School Closure & Distance Learning Database

Download SafeGraph Data

Burbio's K-12 School Opening Data

Burbio's School Opening Tracker audits a comprehensive set of K-12 learning plans across districts representing 3,000 US counties in the US. School districts in the data set are a mix of sizes and distributed nationally in such a way to represent local decision-making across the country. Burbio's data team grades districts by learning plan: Virtual, Traditional In Person, and Hybrid, providing critical insight into this key economic driver at the county and local level. Data from the 2020-2021 School year are available via direct agreement with Burbio. Please contact Dennis Rouche at dennis@burbio.com.

Visit Burbio's K-12 School Opening Tracker

NCES School District and Zip Code Crosswalk

This file provides a crosswalk of school district identifiers and location information, including: district name, state name, NCES district ID, state FIPS, county FIPS, county name, zip code (location), zip code (mailing).

Download NCES District-Zip Code Crosswalk

Community Case Rate Data by District

Community case rate data for COVID-19, by NCES district ID, zip code and week. Case rates are reported at the county level and distributed within a zip code based on HUD estimates.

Download Community Case Rate Data

Download Community Case Rate Codebook

Other Private Data

Below we provide suggested resources as examples of databases that could be used in conjunction with the school learning model data to further explore outcomes related to student learning and health.

Zearn

Zearn is the nonprofit educational organization behind Zearn Math, the top-rated math learning platform used by millions of elementary students nationwide. Zearn Math supports teachers with research-backed curriculum and digital lessons, with billions of math problems solved on the platform to date. Everything we do is driven by the belief that every kid can be a math kid. To learn more, please contact Billy McRae, Director of Research and Strategy, at billy@zearn.org.

Visit Zearn

Kinsa Health

Kinsa has hyper-local data on local illness trends, down to the district, school and grade level. This data could be used to better understand how knowledge of local illness trends leads to behavior changes, improves health of students and staff, reduces absenteeism and ultimately improves educational outcomes. To learn more, please contact Justin Greenberg, Director of Strategic Communications & Government Affairs at Kinsa, at justin.greenberg@kinsahealth.com.

Visit Kinsa