SED Results and Reports

SED Reports

The following reports using data collected by the Survey of Earned Doctorates (SED) are available to the public free of charge from NSF's website: http://www.nsf.gov/statistics/doctorates See below for a detailed description of each report.

SED Digest and Summary Tables

This annual report of research doctorate recipients presents characteristics of the doctorate-granting institutions and the doctorate recipients, including demographics, educational history, financial support for graduate study, and postgraduation plans. Electronic versions of the data tables as well as an interactive version of highlighted trends are available on the NSF website.

Latest SED Digest Report and Data Tables

Doctorate Recipients from U.S. Universities, 2014: http://www.nsf.gov/statistics/sed/

SED Digest Report and Data Tables Archive

Past editions of the digest report and tables are available for download here: http://www.nsf.gov/statistics/2016/nsf16300/archives.cfm

InfoBriefs and Special Reports

These short reports, based on SED data, highlight specific issues in doctoral education and are published intermittently.

SED Tools

The following tools can be used to generate additional reports.

WebCASPAR

The federal government’s WebCASPAR database provides easy access to a large body of statistical data resources for science and engineering (S&E) at U.S. academic institutions. While WebCASPAR emphasizes S&E, it contains information on non-S&E also. Selected SED variables (such as baccalaureate origin, doctoral institution characteristics, doctoral field of study, etc.) are aggregated at the institution level in WebCASPAR.

Use the following link to access this tool: https://ncsesdata.nsf.gov/webcaspar/

SED Tabulation Engine

​The SED Tabulation Engine is a data tool that provides access to selected variables from the SED. It complements the WebCASPAR tool by performing tabulations on the 2006 and beyond data. The tabulation engine includes a disclosure control mechanism that protects the identity of respondents when using the gender, citizenship, or race/ethnicity variables.

Use the following link to access this tool: https://ncses.norc.org/NSFTabEngine/#WELCOME