SEDA 4.1

The Stanford Education Data Archive (SEDA) is an initiative aimed at harnessing data to help researchers, policymakers, educators, and parents learn how to improve educational opportunity for all children. SEDA is publicly available and includes measures of academic achievement, racial and socioeconomic composition and segregation, and other features of the schooling system. These data can be used to generate evidence about what policies and contexts are most effective at increasing educational opportunity.

SEDA 4.1 was published in June 2021 and is the latest release of the main SEDA data. The archive includes a range of detailed data on educational conditions, contexts, and outcomes in schools and school districts across the United States from 2009 to 2018. It includes data at a range of institutional and geographic levels of aggregation, including schools, districts, counties, commuting zones, metropolitan areas, and states. It includes measures of academic achievement, achievement gaps, school and neighborhood racial and socioeconomic composition, school and neighborhood racial and socioeconomic segregation patterns, and other features of the schooling system.

***Errata: On 09/21/2023 errors were identified in some of the original data files. The following files are no longer available:

seda_county_poolsub_cs_4.1

seda_county_poolsub_gcs_4.1

seda_commzone_poolsub_cs_4.1

seda_commzone_poolsub_gcs_4.1

seda_geodist_poolsub_cs_4.1

seda_geodist_poolsub_gcs_4.1

seda_metro_poolsub_cs_4.1

seda_metro_poolsub_gcs_4.1

seda_state_poolsub_cs_4.1

seda_state_poolsub_gcs_4.1

Please delete any locally stored copies of these files. Corrected versions of these files are available for download. These files can be identified by the word “corrected” at the end of the filename (e.g., seda_state_poolsub_gcs_4.1_corrected).

DATA USE AGREEMENT:

You agree not to use the data sets for commercial advantage, or in the course of for-profit activities. Commercial entities wishing to use this Service should contact Stanford University’s Office of Technology Licensing (info@otlmail.stanford.edu).

You agree that you will not use these data to identify or to otherwise infringe the privacy or confidentiality rights of individuals.

THE DATA SETS ARE PROVIDED “AS IS” AND STANFORD MAKES NO REPRESENTATIONS AND EXTENDS NO WARRANTIES OF ANY KIND, EXPRESS OR IMPLIED. STANFORD SHALL NOT BE LIABLE FOR ANY CLAIMS OR DAMAGES WITH RESPECT TO ANY LOSS OR OTHER CLAIM BY YOU OR ANY THIRD PARTY ON ACCOUNT OF, OR ARISING FROM THE USE OF THE DATA SETS.

You agree that this Agreement and any dispute arising under it is governed by the laws of the State of California of the United States of America, applicable to agreements negotiated, executed, and performed within California.

You agree to acknowledge the Stanford Education Data Archive as the source of these data. In publications, please cite the data as:

Reardon, S. F., Ho, A. D., Shear, B. R., Fahle, E. M., Kalogrides, D., Jang, H., & Chavez, B. (2021). Stanford Education Data Archive (Version 4.1). [https://purl.stanford.edu/xv742vh9296] [https://doi.org/10.25740/xv742vh9296]

Subject to your compliance with the terms and conditions set forth in this Agreement, Stanford grants you a revocable, non-exclusive, non-transferable right to access and make use of the Data Sets.