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Pennsylvania · Private foundation

Jonathans Forever Young Run

Its FY2025 filing reports that it accepted unsolicited grant applications.

$22k
Granted FY2025(still arriving)
7
Grants FY2025
Read the full brief
Median grant, FY2025
$3,500
Largest grant, FY2025
$6,000
States reached, FY2025
1
Total assets, FY2025
$37k
Applications
Takes unsolicited applications
Per its most recent filing; check its own site

Top grantees

Largest grants in FY2025.

Individual grant recipient$6,000
Individual grant recipient$6,000
Individual grant recipient$4,000
Individual grant recipient$3,500
Individual grant recipient$1,000
Individual grant recipient$1,000
Pine Richland Touchdown Club$500

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Warm introductions · Powered by PlinthPlus

How do I get to Jonathans Forever Young Run?

Find your warmest path to Jonathans Forever Young Run through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

About Jonathans Forever Young Run

How much does Jonathans Forever Young Run give?
Jonathans Forever Young Run reported 7 grants totaling $22,000 in its FY2025 IRS filing.
What does Jonathans Forever Young Run fund?
By grant dollars over FY2025 to FY2025, its largest causes are Education (98%), Recreation & Sports (2%).
Does Jonathans Forever Young Run accept unsolicited applications?
Its most recent filing reports that it accepts unsolicited grant applications.
Where is Jonathans Forever Young Run based?
Jonathans Forever Young Run is based in PA.

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 7 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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