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Foundation Dossiers

Virginia · Private foundation

Garber Foundation

Its FY2024 filing reports that it accepted unsolicited grant applications.

$1k
Granted FY2018
1
Grants FY2018
1
Organizations funded FY2018
Read the full brief
Median grant, FY2018
$1,000
Largest grant, FY2018
$1,000
States reached, FY2018
1
Total assets, FY2018
$42k
Applications
Takes unsolicited applications
Per its most recent filing; check its own site

Top grantees

Largest recipients by total granted, FY2018 to FY2018, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Taras Shevchenko School of Ukrainian Studies of Greater Washington Inc$1,0001n/a

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About Garber Foundation

How much does Garber Foundation give?
Garber Foundation reported 1 grants totaling $1,000 in its FY2018 IRS filing.
What does Garber Foundation fund?
By grant dollars over FY2018 to FY2018, its largest causes are Education (100%).
Who are Garber Foundation's largest grantees?
By total granted over FY2018 to FY2018: Taras Shevchenko School of Ukrainian Studies of Greater Washington Inc ($1k).
Does Garber Foundation accept unsolicited applications?
Its most recent filing reports that it accepts unsolicited grant applications.
Where is Garber Foundation based?
Garber Foundation is based in VA.

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 1 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 2018, released 2018. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2024) is on record and reports no grant expense, so the figures above are from FY2018, the most recent year this funder made grants.

Source object · view filing

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More from the funding graph

The unnamed billions
grants reported with no recipient in the public record
The regranting layer
51% of grant dollars land in the regranting layer
The DAF merry-go-round
$9.7B circulates between donor-advised funds
The endowment market
who holds foundation money, and what just moved
The camps
funders cluster by geography, not ideology
By state
where grant money is based, and what stays home