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New York · Private foundation

David and Lauren Hayes Foundation

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$17k
Granted FY2025(still arriving)
7
Grants FY2025
7
Organizations funded FY2024
Read the full brief
Median grant, FY2025
$1,500
Largest grant, FY2025
$7,500
States reached, FY2025
1
Total assets, FY2025
$245k
Applications
Preselected organizations only
Per its most recent filing; check its own site
93% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2024 to 2025.

Education$30kReligion$19kHealth$7kArts & Culture$4kEnvironment$3kOther$0

Top grantees

Largest recipients by total granted, FY2024 to FY2025, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Saint Gregory's School$17,50020%
Fordham University$10,00010%
Ekwanok Scholarship Trust Inc$1,00010%
University at Albany Foundation$1,00010%
St Pius X Church$5001n/a

Plus 6 recipients with no EIN on record ($31k), not named here.

Compare David and Lauren Hayes Foundation with peer funders

About David and Lauren Hayes Foundation

How much does David and Lauren Hayes Foundation give?
David and Lauren Hayes Foundation reported 7 grants totaling $16,750 in its FY2025 IRS filing.
What does David and Lauren Hayes Foundation fund?
By grant dollars over FY2024 to FY2025, its largest causes are Education (48%), Religion (31%), Health (11%).
Who are David and Lauren Hayes Foundation's largest grantees?
By total granted over FY2024 to FY2025: Saint Gregory's School ($18k), Fordham University ($10k), Ekwanok Scholarship Trust Inc ($1k).
Does David and Lauren Hayes Foundation accept unsolicited applications?
Its most recent filing reports that it funds preselected organizations and does not take unsolicited requests. Check the foundation's own site before ruling it out.
Where is David and Lauren Hayes Foundation based?
David and Lauren Hayes Foundation is based in NY.

On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 11 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

How this is measured
Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

Generated from the IRS Form 990-PF e-file return for fiscal year 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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