Use NSF Award Search to find and export individual awards, and NSF by the Numbers for predefined trends and comparisons. The key to a reliable funding tracker is to decide what “funding” means first: new awards, obligations made during a fiscal year, or another measure. Those figures can describe different activity and use different time bases.
Decide what you want to measure
NSF award records and dashboard metrics answer related but distinct questions. Before searching or comparing years, choose the measure and keep its definition with every total or chart.
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- New awards funded: a count of awards based on the fiscal year in which the funding decision was made.
- Award obligation amount: funds obligated during the displayed fiscal year. This can include new awards as well as increments or supplements to awards made earlier; it is not automatically the amount of new awards announced that year.
- Funding rate: a dashboard metric with its own defined denominator and scope. Consult the current codebook rather than assuming it is comparable to an award count or obligation total.
- Institution or program history: a record-level view of awards associated with a recipient or program, which may not match a dashboard measure unless the filters and time basis align.
The NSF by the Numbers codebook distinguishes decision fiscal year from the fiscal year funds were obligated. It also documents scope restrictions and exclusions, including metrics that exclude actions funded by NSF mandatory appropriations and obligation coverage limited to listed directorates and offices. Check its current definitions, refresh date, and available years before publishing or relying on a comparison.
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Find awards in NSF Award Search
NSF Award Search covers projects funded since 1989. Its searchable fields include titles, abstracts, names, institutions, programs, and other award information. A broad search is useful for discovery; the advanced form is better when you already know the investigator, recipient, program, keyword, award date, or award number you need.
Search with the right terms
- Searches are case-insensitive. Enclose a phrase in double quotes to search for an exact phrase.
- Use uppercase
AND,OR, orNOTfor Boolean combinations. - Keyword and program-officer searches support the documented
*and?wildcards. - For a program-specific query, use the exact program name or element code when possible. NSF-wide programs such as CAREER or REU are more accurately found with a program reference code.
If you do not know the exact program entry, start broadly, inspect program names in the results, then rerun the search using the exact name or code. NSF describes exact program names and codes as the most accurate way to find program records; a broad keyword match may include unrelated awards.
Filter and sort the results
Refine results by state, country, NSF organization, award amount, or award type. You can sort by fields including award number, title, start date, location, and principal investigator name. The interface’s result prediction is accurate through 3,000 records; if the query exceeds that, narrow it with more specific terms or filters.
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Download and preserve a repeatable dataset
The Award Search results interface can export up to 3,000 results as CSV, XML, Excel, or text. The selected sort order carries into the export. For a complete set of awards made in a fiscal year, NSF provides separate zipped XML downloads rather than a single unrestricted results-page export. Federal fiscal years run from October 1 through September 30.
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- Check the result count and refine the query if it exceeds 3,000.
- Choose a sort order that will make review or comparison easier.
- Export the results in the format your analysis requires, or use the fiscal-year XML download for annual bulk records.
- Save the query terms, filters, retrieval date, export format, and metric definition alongside the file. NSF’s interface does not thereby create an audit log; keeping these details is a practical way to make your own analysis reproducible.
Award Search provides award abstracts, not copies of submitted proposals. NSF identifies proposals as confidential intellectual property of the organizations that submit them.
Use the API or bulk XML for recurring analysis
NSF’s developer resources identify an Award Search API for information about NSF spending, supported research, and outcomes. The National Center for Science and Engineering Statistics (NCSES) also describes the public award database as available through API and XML downloads in its 2022 report.
Do not assume the API and XML contain identical fields: NCSES specifically notes that their available fields differ. Before building a recurring pipeline, check the current API documentation for endpoint syntax, authentication, rate limits, update cadence, and the live schema. The 2022 report describes XML files available in spring 2020, so its record count and field details are historical rather than proof of today’s database size or exact schema.
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Use NSF by the Numbers for official summaries
NSF by the Numbers offers state views, yearly trends, detailed award information, and institution factsheets. Its instructions describe exploring metrics by state, NSF directorate, and institution, as well as comparing selected filters. It is a useful starting point for high-level scans and predefined official comparisons.
Use individual Award Search records or exports when you need custom groupings, a record-level audit, or a measure that differs from the dashboard’s definitions. The dashboard’s award counts, obligation amounts, and funding rates should not be treated as interchangeable: confirm the codebook definition for the specific metric you select.
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Make institution, program, and year comparisons fair
For a comparison between institutions, programs, or years, make the following choices explicit and consistent:
- Metric: state whether the comparison is a count of new awards, obligations, funding rate, or another quantity.
- Time basis: distinguish the decision fiscal year used for new-award counts from the fiscal year of obligation used for obligation amounts.
- Scope: apply consistent NSF organizations, directorates, and award categories, and note any codebook exclusions or coverage limits.
- Recipient and geography: use a consistent attribution unit, such as institution, state, organization, or principal investigator.
- Data source and extraction: record whether the figures came from dashboard metrics, web results, API, or XML, and account for the web interface’s result cap and API/XML field differences.
These controls help prevent a common misreading: a change in obligations may reflect supplements or increments to earlier awards, while a new-award count tracks decisions made in that fiscal year. Label the measure and its basis wherever you display the result.
What the available figures can—and cannot—show
NCSES reported that nearly a quarter of federal obligations for basic research performed by U.S. academic institutions came through NSF, citing FY 2019–20 data. That is historical context, not a current funding-share estimate. The same 2022 report counted 464,647 XML award records in files available on the NSF website in spring 2020; that figure is a dated snapshot, not the current size of the award database.
The source pages cited here do not establish a current total award-record count or a current NSF share of federal funding. Avoid presenting either historical figure as current.
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