The Stanford Education Data Archive (SEDA) includes a number of publicly available data files, the technical documentation and data codebooks, listed on the following page. Data files are available in Stata (v13) and .csv formats.
In publications, please cite the data as:
Sean F. Reardon, Andrew D. Ho., Benjamin R. Shear, Erin M. Fahle, Demetra Kalogrides, & Richard DiSalvo. (2018). Stanford Education Data Archive (Version 2.1). http://purl.stanford.edu/db586ns4974.
If you have questions or note errors in the data, please contact us at sedasupport@stanford.edu
Notes
The currently available data include district and county level average achievement (for all students and by race/ethnicity and gender), district and county level racial/ethnic and gender achievement gaps, and district level demographic/socioeconomic data. The most recent release (currently, Version 2.1) should always be used for reporting and analysis. Previous versions of the data are still available to facilitate research replication. Please review the technical documentation and codebooks that accompany the data sets. These documents review the data construction process and describes the contents of each file.
Version 1.0
| Data description |
Download |
Documentation |
| This file contains district level means in grade equivalent units. There are multiple observations per district; one for each year, grade and subject.
|
Stata
| Excel
| CSV
| Codebook
|
| This file contains district level means in grade equivalent units. There are multiple observations per district, one for each subject; values are averaged across years and grades. |
Stata
| Excel
| |
| This file contains district level means in grade equivalent units. There is one observations per district; values are averaged across years, grades and subjects. |
Stata
| Excel
| |
| This file contains district level means in constant population standard deviation units. There are multiple observations per district; one for each year, grade and subject. |
Stata
| Excel
| CSV |
| This file contains district level means in constant population standard deviation units. There are multiple observations per district; one for each subject; values are averaged across years and grades. |
Stata
| Excel
| |
| This file contains district level means in constant population standard deviation units. There is one observations per district; values are averaged across years, grades and subjects. |
Stata
| Excel
| |
| This file contains district level means in NAEP-referenced units. Estimates are comparable between states. There are multiple observations per district; one for each year, grade and subject. |
Stata
| Excel
| CSV |
| This file contains district level means in state-referenced units. Estimates are comparable within states. There are multiple observations per district; one for each year, grade and subject. |
Stata
| Excel
| CSV |
| This file contains district level white-black and white-Hispanic achievement gaps. There are multiple observations per district; one for each year, grade and subject. |
Stata
| Excel
| CSV |
| This file contains district level white-black and white-Hispanic achievement gaps. There are multiple observations per district; one for each subject; values are averaged across years and grades. |
Stata
| Excel
| |
| This file contains district level white-black and white-Hispanic achievement gaps. There is one observations per district; values are averaged across years, grades and subjects. |
Stata
| Excel
| |
| This file contains district level covariates (socioeconomic, demographic, school level data). There are multiple observations per district; one for each year and grade. |
Stata
|
| CSV
| Codebook
|
| This file contains district level covariates (socioeconomic, demographic, school level data). There are multiple observations per district; one for each year. |
Stata
|
| CSV |
| This file contains district level covariates (socioeconomic, demographic, school level data). There is one observation per district. |
Stata
| Excel
| |
| This file contains a unique school identifier, an identifier indicating its NCES ID (the district to which it legally belongs), and the district in which it is included in our estimates. There is one observation per school. |
Stata |
|
CSV |
Documentation
|
Version 1.1
Technical Documentation
| Assessment Outcomes: Means and Standard Errors |
| Data Description |
Disaggregated by |
Download |
Documentation |
| File Title |
Description |
Metric |
Geographic Level |
Year |
Grade |
Subject |
|
|
|
| MeanA_V1.1 |
This file contains district level means in grade equivalent units. There are multiple observations per district; one for each year, grade and subject. |
Grade Equivilant Units |
District |
x |
x |
x |
Stata |
CSV |
Codebook |
| MeanB_V1.1 |
This file contains district level means in grade equivalent units. There are multiple observations per district, one for each subject; values are averaged across years and grades. |
Grade Equivilant Units |
District |
|
|
x |
Stata |
CSV |
| MeanC_V1.1 |
This file contains district level means in grade equivalent units. There is one observations per district; values are averaged across years, grades and subjects. |
Grade Equivilant Units |
District |
|
|
|
Stata |
CSV |
| MeanD_V1.1 |
This file contains district level means in constant population standard deviation units. There are multiple observations per district; one for each year, grade and subject. |
Standard Deviation Units |
District |
x |
x |
x |
Stata |
CSV |
| MeanE_V1.1 |
This file contains district level means in constant population standard deviation units. There are multiple observations per district; one for each subject; values are averaged across years and grades. |
Standard Deviation Units |
District |
|
|
x |
Stata |
CSV |
| MeanF_V1.1 |
This file contains district level means in constant population standard deviation units. There is one observations per district; values are averaged across years, grades and subjects. |
Standard Deviation Units |
District |
|
|
|
Stata |
CSV |
| MeanG_V1.1 |
This file contains district level means in NAEP-referenced units. Estimates are comparable between states. There are multiple observations per district; one for each year, grade and subject. |
NAEP |
District |
x |
x |
x |
Stata |
CSV |
| MeanH_V1.1 |
This file contains district level means in state-referenced units. Estimates are comparable within states. There are multiple observations per district; one for each year, grade and subject. |
State Referenced |
District |
x |
x |
x |
Stata |
CSV |
| Assessment Outcomes: Achievement Gaps |
| Data Description |
Disaggregated by |
Dowload |
Documentation |
| File Title |
Description |
Metric |
Geographic Level |
Year |
Grade |
Subject |
|
|
|
| GapA_V1.1 |
This file contains district level white-black and white-Hispanic achievement gaps. There are multiple observations per district; one for each year, grade and subject. |
Standard Deviation Units |
District |
x |
x |
x |
Stata |
CSV |
Codebook |
| GapB_V1.1 |
This file contains district level white-black and white-Hispanic achievement gaps. There are multiple observations per district; one for each subject; values are averaged across years and grades. |
Standard Deviation Units |
District |
|
|
x |
Stata |
CSV |
| GapC_V1.1 |
This file contains district level white-black and white-Hispanic achievement gaps. There is one observations per district; values are averaged across years, grades and subjects. |
Standard Deviation Units |
District |
|
|
|
Stata |
CSV |
| Covariates |
| Data Description |
Disaggregated by |
Dowload |
Documentation |
| File Title |
Description |
Metric |
Geographic Level |
Year |
Grade |
Subject |
|
|
|
| CovA_V1.1 |
This file contains district level covariates (socioeconomic, demographic, school level data). There are multiple observations per district; one for each year and grade. |
- |
District |
x |
x |
|
Stata |
CSV |
Codebook |
| CovB_V1.1 |
This file contains district level covariates (socioeconomic, demographic, school level data). There are multiple observations per district; one for each year. |
- |
District |
x |
|
|
Stata |
CSV |
| CovC_V1.1 |
This file contains district level covariates (socioeconomic, demographic, school level data). There is one observation per district. |
- |
District |
|
|
|
Stata |
CSV |
| Ancillary Files |
| Data Description |
Disaggregated by |
Dowload |
Documentation |
| File Title |
Description |
Metric |
Geographic Level |
Year |
Grade |
Subject |
|
|
|
| AncillaryA_V1.1 |
This file contains a unique school identifier, an identifier indicating its NCES ID (the district to which it legally belongs), and the district in which it is included in our estimates. There is one observation per school. |
- |
District |
|
|
|
Stata |
CSV |
|
| AncillaryB_V1.1 |
This file contains the shape file that corresponds to the district crosswalk. |
- |
National |
|
|
|
File |
|
|
Version 2.0
This page contains four sets of files:
- Technical Documentation and Codebooks
- Test Score Estimates: Means, Standard Deviations, and Achievement Gaps
- Covariate Data Files
- Ancillary Data Files
Errata: The first release of SEDA 2.0 had an error in the pooled gap estimates. The current files incorporate the fix. See the technical documentation for details.
| Technical Documentation and Codebooks |
| File Name |
Download |
| SEDA_documentation_v20 |
PDF |
| SEDA_codebook_geodist_v20 |
Excel |
| SEDA_codebook_county_v20 |
Excel |
| SEDA_codebook_cov_geodist_v20 |
Excel |
| SEDA_codebook_crosswalk_v20 |
Excel |
| Test Score Estimates: Means, Standard Deviations, and Achievement Gaps |
| File Name |
Form |
Metric |
Disaggregated by |
Download |
| Geographic District |
County |
Year |
Grade |
Subject |
Group |
| All |
Race |
Race Gaps |
| SEDA_geodist_long_CS_v20 |
Long |
CS |
X |
|
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_geodist_long_GCS_v20 |
Long |
GCS |
X |
|
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_geodist_long_NAEP_v20 |
Long |
NAEP |
X |
|
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_geodist_long_State_v20 |
Long |
State |
X |
|
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_geodist_poolsub_CS_v20 |
Pooled |
CS |
X |
|
|
|
X |
X |
X |
X |
Stata |
CSV |
| SEDA_geodist_poolsub_GCS_v20 |
Pooled |
GCS |
X |
|
|
|
X |
X |
X |
X |
Stata |
CSV |
| SEDA_geodist_pool_CS_v20 |
Pooled |
CS |
X |
|
|
|
|
X |
X |
X |
Stata |
CSV |
| SEDA_geodist_pool_GCS_v20 |
Pooled |
GCS |
X |
|
|
|
|
X |
X |
X |
Stata |
CSV |
| Download All SEDA V2.0 Geographic District-Level Files |
Stata |
CSV |
| SEDA_county_long_CS_v20 |
Long |
CS |
|
X |
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_county_long_GCS_v20 |
Long |
GCS |
|
X |
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_county_long_NAEP_v20 |
Long |
NAEP |
|
X |
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_county_long_State_v20 |
Long |
State |
|
X |
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_county_poolsub_CS_v20 |
Pooled |
CS |
|
X |
|
|
X |
X |
X |
X |
Stata |
CSV |
| SEDA_county_poolsub_GCS_v20 |
Pooled |
GCS |
|
X |
|
|
X |
X |
X |
X |
Stata |
CSV |
| SEDA_county_pool_CS_v20 |
Pooled |
CS |
|
X |
|
|
|
X |
X |
X |
Stata |
CSV |
| SEDA_county_pool_GCS_v20 |
Pooled |
GCS |
|
X |
|
|
|
X |
X |
X |
Stata |
CSV |
| Download All SEDA V2.0 County-Level Files |
Stata |
CSV |
Metric: CS = Cohort Scale; GCS = Grade Scale; NAEP = NAEP Scale; State = State-referenced Scale
Academic Years: 2008/09 – 2014/15
Grades: 3 – 8
Subjects: Math, ELA
Race: white, black, Hispanic, and Asian
Race Gaps: white-black, white-Hispanic, white-Asian
| Covariate Data |
| File Name |
Form |
Disaggregated by |
Download |
| District |
Year |
Grade |
| SEDA_cov_geodist_long_v20 |
Long |
X |
X |
X |
Stata |
CSV |
| SEDA_cov_geodist_poolyr_v20 |
Pooled |
X |
X |
|
Stata |
CSV |
| SEDA_cov_geodist_pool_v20 |
Pooled |
X |
|
|
Stata |
CSV |
| Ancillary Data |
| File Name |
Disaggregated by |
Download |
| School |
District |
Year |
| SEDA_crosswalk_v20 |
X |
|
X |
Stata |
CSV |
| SEDA_shapefiles_v20 |
|
X |
|
Zip |
Version 2.1
This page contains five sets of files:
- Technical Documentation and Codebooks
- Data Files Used in News Articles
- Test Score Estimates: Means, Standard Deviations, and Achievement Gaps
- Covariate Data Files
- Ancillary Data Files
| Technical Documentation and Codebooks |
| File Name |
Download |
| SEDA_documentation_v21 |
PDF |
| SEDA_codebook_geodist_v21 |
Excel |
| SEDA_codebook_county_v21 |
Excel |
| SEDA_codebook_cov_geodist_v21 |
Excel |
| SEDA_codebook_crosswalk_v21 |
Excel |
| Data Files Used in News Articles |
| Article and Date |
Paper |
Data |
Where Boys Outperform Girls in Math:
Rich, White and Suburban Districts. New York Times. 6/13/2018 |
Gender Achievement Gaps in U.S. School Districts. Reardon, S.F., Fahle, E.M., Kalogrides, D., Podolsky, A., & Zárate, R.C. (2018) |
Excel* |
Data |
| *Notes about the data are included in the Excel spreadsheet. |
| Test Score Estimates: Means, Standard Deviations, and Achievement Gaps |
| File Name |
Form |
Metric |
Disaggregated by |
Download |
| Unit |
Year |
Grade |
Subject |
Means & SDs |
Gaps |
| All |
Race |
Gender |
Race |
Gender |
| SEDA_geodist_long_CS_v21 |
Long |
CS |
Geographic District |
X |
X |
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_geodist_long_GCS_v21 |
Long |
GCS |
Geographic District |
X |
X |
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_geodist_long_NAEP_v21 |
Long |
NAEP |
Geographic District |
X |
X |
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_geodist_long_State_v21 |
Long |
State |
Geographic District |
X |
X |
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_geodist_poolsub_CS_v21 |
Pooled |
CS |
Geographic District |
|
|
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_geodist_poolsub_GCS_v21 |
Pooled |
GCS |
Geographic District |
|
|
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_geodist_pool_CS_v21 |
Pooled |
CS |
Geographic District |
|
|
|
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_geodist_pool_GCS_v21 |
Pooled |
GCS |
Geographic District |
|
|
|
X |
X |
X |
X |
X |
Stata |
CSV |
| Download All SEDA V2.1 Geographic District Files |
Stata |
CSV |
| SEDA_county_long_CS_v21 |
Long |
CS |
County |
X |
X |
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_county_long_GCS_v21 |
Long |
GCS |
County |
X |
X |
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_county_long_NAEP_v21 |
Long |
NAEP |
County |
X |
X |
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_county_long_State_v21 |
Long |
State |
County |
X |
X |
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_county_poolsub_CS_v21 |
Pooled |
CS |
County |
|
|
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_county_poolsub_GCS_v21 |
Pooled |
GCS |
County |
|
|
X |
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_county_pool_CS_v21 |
Pooled |
CS |
County |
|
|
|
X |
X |
X |
X |
X |
Stata |
CSV |
| SEDA_county_pool_GCS_v21 |
Pooled |
GCS |
County |
|
|
|
X |
X |
X |
X |
X |
Stata |
CSV |
| Download All SEDA V2.1 County Files |
Stata |
CSV |
Metric: CS = Cohort Scale; GCS = Grade Scale; NAEP = NAEP Scale; State = State-referenced Scale
Academic Years: 2008/09 – 2014/15
Grades: 3 – 8
Subjects: Math, ELA
Race: white, black, Hispanic, and Asian
Race Gaps: white-black, white-Hispanic, white-Asian
Gender: male, female
Gender Gaps: male-female
| Covariate Data |
| File Name |
Form |
Disaggregated by |
Download |
| District |
Year |
Grade |
| SEDA_cov_geodist_long_v21 |
Long |
X |
X |
X |
Stata |
CSV |
| SEDA_cov_geodist_poolyr_v21 |
Pooled |
X |
X |
|
Stata |
CSV |
| SEDA_cov_geodist_pool_v21 |
Pooled |
X |
|
|
Stata |
CSV |
| Ancillary Data |
| File Name |
Disaggregated by |
Download |
| School |
District |
Year |
| SEDA_crosswalk_v21 |
X |
|
X |
Stata |
CSV |
| SEDA_shapefiles_v20 |
|
X |
|
Stata |
CSV |