Working With Our Data
If you would like to suggest additional analyses, or have suggestions for other content that would be helpful for the research community, please submit your ideas via our contact form.
Much of the documentation on this site was originally made possible by a grant from the Lumina Foundation. Lumina Foundation, an Indianapolis-based private foundation, is committed to enrolling and graduating more students from college — especially 21st century students: low-income students, students of color, first-generation students, and adult learners. Lumina’s goal is to increase the percentage of Americans who hold high-quality degrees and credentials to 60 percent by 2025. Lumina pursues this goal in three ways: by identifying and supporting effective practice, through public policy advocacy, and by using communications and convening power to build public will for change.
The National Student Clearinghouse as an Integral Part of the National Postsecondary Data Infrastructure
NSC as an Integral Part of the National Postsecondary Data Infrastructure
NOTE: “The National Student Clearinghouse as an Integral Part of the National Postsecondary Data Infrastructure” paper was released on May 18, 2016, as part of the “Envisioning the National Postsecondary Data Infrastructure in the 21st Century” series.
Data Coverage
The table with coverage rates from 2017 onward includes a refined definition of four-year institutions that breaks out Primarily Associate Degree Granting Baccalaureate Institutions (PABs) into a separate category. The data are being provided in an Excel format for the convenience of researchers who would like to make coverage-based adjustments in studies that use longitudinal Clearinghouse data.
Data Elements
Since the 2008-09 academic year, the Clearinghouse has provided its participating institutions with the option to include thirteen additional data elements in their enrollment submissions. These additional data elements help make Clearinghouse data more comprehensive and enable StudentTracker participants to utilize a more robust data set. Since it is optional for institutions to report these elements, institutions and researchers may find it helpful to know how frequently these elements have been reported. This document provides the most up-to-date data coverage of the additional data elements, disaggregated by institutional sector.
Reporting of NSC Additional Data Elements (September 2025)
Student gender is currently an optional data element in Clearinghouse Enrollment Reporting, but it is important for a variety of research projects. In order to make use of gender for research projects, the Research Center has developed the gender imputation process described in the following PDF. Using this process, the Research Center is able to obtain gender for over 91 percent of enrollment records.
Lookup Tables
Clearinghouse School Code to IPEDS Unit-ID Crosswalk Table
This crosswalk table provides a general guideline for mapping between the 8-digit postsecondary institution codes in the Clearinghouse’s database and the 6-digit IPEDS unit IDs. Every postsecondary institution and branch code combination ever used in the Clearinghouse to provide a variety of NSC data and research services (e.g., enrollment reporting, transcript services) are contained once (and only once) in this table. Each of the colleges’ main and branch campus code combinations are mapped to IPEDS unit IDs wherever possible. Take note that this general guideline does not always produce a one-on-one matching: Multiple Clearinghouse institution codes may map to a single IPEDS unit ID, while some Clearinghouse institution codes do not map to any IPEDS unit ID as those were created for compliance reporting or administrative purposes.
Clearinghouse Institution Code to IPEDS Unit-ID Crosswalk Table (April 2023)
Institution Lookup Tables
Our publications often include analyses by institutional characteristics such as whether an institution is primarily online and/or multi-state, primarily associate degree-granting baccalaureate institution, or serving a minority student population. The following lookup tables provide lists of institutions identified in the Clearinghouse data as of July 2025 that meet the definition of each institution category. To illustrate how each institutional category could be applied to research studies, we list a recent publication that utilizes each characteristic as well as the original data source(s) from which the categories were derived.
Primarily Online and Multi-State Institutions (July 2025) Historically Black Colleges and Universities (HBCUs) (July 2025) Hispanic Serving Institutions (HSIs) (July 2025) Primarily Associate Degree Granting Baccalaureate Institutions (PABs) (July 2025)
CIP Code Lookup Table
This lookup table allows StudentTracker users to easily assign a standardized Classification of Instructional Program (CIP) code to the free-text course of study descriptions reported to the Clearinghouse through its DegreeVerify service. This mapping of free-text course of study descriptions to CIP codes is based on the same logic used by the Research Center in its own research projects. In the lookup table, each unique course of study description is associated with the single CIP code under which it most frequently appears in postsecondary institutions’ data submissions to the Clearinghouse. The lookup table is available in both Excel and tab-delimited text formats.
Credential Level Lookup Table
This lookup table allows StudentTracker users to easily assign a standardized credential level (certificate, associate, bachelor’s, etc.) to the free-text degree titles reported to the Clearinghouse through its DegreeVerify service. This mapping of free-text degree titles to standardized credential levels is based on the degree levels reported by institutions when available, and invokes text-parsing logic used by the Research Center in its own research projects for cases where institutions did not explicitly report a degree level. The lookup table is available in both Excel and tab-delimited text formats.
Credential Level Lookup Table
Credential Level Lookup Table (June 2025)
Using StudentTracker for High Schools Reports: Considerations for Measuring the College Enrollment Rates of High School Graduates
Increasingly, the results are also being used to inform accountability metrics for schools, districts, and states concerned about the performance of secondary schools. In many cases, these metrics are published without fully explaining the source and nature of the data and its limitations.
As the most comprehensive source of national student-level college enrollment data, the Clearinghouse is committed to providing transparency regarding the quality, reliability, and accuracy of its data, and of the reports that can be derived from it. Our belief is that the more our data users understand about the data, the better equipped they will be to use it wisely. This document is intended to inform high schools and districts about what to expect from Clearinghouse data accessed through StudentTracker reports.
Considerations in Using StudentTracker for High Schools Reports (December 2014)
FERPA Implications for Researchers
Impact of Directory Information Blocks on StudentTracker Results (November 2017)
FERPA Block Rate Details (July 2024)
Notes from the Field
Researchers Talk About Using Clearinghouse Data
Our goal is to provide a venue to encourage the sharing of lessons learned about using our data in research, and also to offer greater transparency about the strengths and weaknesses of the data. We hope this helps researchers to become better informed when using our data for policy analysis and academic research.
We are particularly grateful to the researchers below for their valuable contributions, which help us to better understand how our data are being used in the field and help other researchers to use it more effectively. We are always open to feedback and will continue to post reports by others discussing Clearinghouse data.
Note: NSC data coverage rates in “The Missing Manual” are from 2011. For current and historical coverage rates (2003-present) by state and sector, see Data Coverage.