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.
These files include the percentage of the school year (according to available data) that each school or district offered instruction that was fully in-person, hybrid, or virtual. Currently, the district file includes all 46 states with available data, using district-level data if available, or aggregated school-level data if not. The school file includes the 35 states where we have school-level data.
Last update: 9/30/22. The most recent update includes ONLY the percentage of the year that schools or districts were in-person, hybrid, or virtual, and EXCLUDES the percentage of the year that entities were closed, which had been included previously.
All School Learning Model Data includes a zipped file with all available school-level learning model data files. You may access the zipped CSV files and the zipped Excel files below. The data can be merged using the STATA code provided.
Last update: 9/30/22
All District Learning Model Data includes a zipped file with all available district-level learning model data files. You may access the zipped CSV files and the zipped Excel files below. The data can be merged using the STATA code provided.
Last update: 9/30/22
All State School and District COVID-19 Case Data includes a zipped file with all available COVID-19 data files, listed by state.
Other Public Data
2020-21 Common Core of Data (CCD) School and District Demographic Files
The 2020-21 school and district demographic files from the Common Core of Data include basic identifying information for each public school and district, including: NCES identification numbers; location information; student enrollment by race/ethnicity; grade levels offered; information about teacher, staff, and administrator counts; the number of schools included as part of each district; and indicators for charter, magnet, virtual, and Title-I eligible schools, among other variables.
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.
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 firstname.lastname@example.org.
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).
Other Private Data
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 email@example.com.
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 firstname.lastname@example.org.