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· Private foundation

Tri-State Advocacy Project

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.

$16k
Granted FY2025still arriving
17
Grants FY2025still arriving
3
States reached
$3k
Largest
01What it funds
0188% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2021 to 2025.

Health$27kHousing & Shelter$13kHuman Services$5kEducation$5kMembership Benefit$1kFood & Nutrition$1kRecreation & Sports$775Employment$91Other$0
02FY2025 · 17 grants

Where the money goes

Grants by size, and the largest recipients.

$942
Median grant
3
States reached
$61k
Total assets
Largest grants
RecipientAmount
Individual grant recipient$2,595
Individual grant recipient$2,550
Individual grant recipient$1,900
Individual grant recipient$1,500
Individual grant recipient$1,184
Individual grant recipient$1,050
Individual grant recipient$1,023
PENN STATE HEALTH$1,000
Individual grant recipient$942
Individual grant recipient$904
Individual grant recipient$550
ASSOCIATION OF REHAB NURSES$500
Individual grant recipient$404
Individual grant recipient$205
Individual grant recipient$111
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

show:

Dollar for dollar, its grants (FY21–25) land where the poverty rate runs at 13%, against an area that typically sits at 11%. 58% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 11%FRANCINE TUCKER: $300 → 10%SUSAN SNYDER: $1k → 6%ROBERTA BROOKS: $100 → 7%EDWARD TURNER: $1k → 9%HIGHMARK BLUE SHIELD: $1k → 9%MATTHEW ETTER: $2k → 9%IREEN NADEEM: $600 → 10%JOHN DENBY: $2k → 10%MARILYN O'FALLON: $205 → 11%KIM PLATT: $942 → 11%RICHARD HERNANDEZ: $1k → 11%DAVID CORT: $550 → 12%TINA KRASULAK: $904 → 12%PENN STATE HEALTH: $1k → 12%DANIEL FISHER: $1k → 13%TRACY CROSS: $3k → 15%TEYA REVIERE: $6k → 22%JARED VIDELL: $2k → 11%ALICIA MIRANDA: $2k → 14%ASSOCIATION OF REHAB NURSES: $500 → 5%RAYMOND PATRICK: $91 → 11%DANIELLE JOHNSON: $100 → 19%CAROL TIGGETT: $3k → 6%LESLIE TAYLOR: $285 → 9%MICHAEL LEBOFEE: $100 → 10%ANTONIO MENEDEZ: $2k → 11%MICHAEL SPANO: $1k → 11%MICHAEL WALKER: $111 → 13%TRACY CROSS: $1k → 15%JAMES DAVIS: $250 → 22%CAROL TIGGETT: $2k → 6%BOBBY RISKO: $2k → 11%PAUL WENTZ: $565 → 11%TRACY CROSS: $810 → 15%PEOUPMELISSA HENG: $402 → 22%CAROL TIGGETT: $1k → 6%BRANDON YOUNGER: $1k → 11%DEBRA CROSS: $700 → 15%MAE HOLLOWAY: $3k → 22%GLORIA SUTTON: $225 → 6%TRACY CROSS: $410 → 15%WYDIA MCQUEEN: $404 → 22%JOSEPH MYERS: $213 → 6%FREDRICK PENSYL: $305 → 15%MEIY LEI: $100 → 22%NIKI DALESSIO: $550 → 6%LARRY THOMPSON: $160 → 22%RENEE BROWN: $3k → 22%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its field
04the grantee network

2 grantees tracked through their own filings, 2017–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 2 of the 52 grantees resolved in that span have returns of their own we could reconcile.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
2/2
Grantees still filing
0/2
Grew since first funded

Where the money sits, by cause and then by grantee

Individual grant recipient: $5,956 · OtherIndividual grant recipientIndividual grant recipient: $5,945 · OtherIndividual grant recipientIndividual grant recipient: $5,663 · OtherIndividual grant recipientIndividual grant recipient: $2,550 · OtherIndividual grant recipient: $2,500 · OtherIndividual grant recipient: $2,376 · OtherIndividual grant recipient: $2,000 · OtherIndividual grant recipient: $1,908 · OtherIndividual grant recipient: $1,900 · Other+41 more: $23,210 · Other+41 morePenn State Health: $1,000 · HealthBRAIN INJURY ASSOCIATION OF DELAWARE: $195 · Human Services
Other$54,008Health$1,000Human Services$195

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetPenn State Health: $1,000 over 1y, 0.0% of budgetBRAIN INJURY ASSOCIATION OF DELAWARE: $195 over 1y, 0.5% of budget
Grantee by grantee: a decade per organization, before and after funding

A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.

  • Who funds Penn State Health ↗

How much its grantees rely on government

Each dot is one organization Tri-State Advocacy Project funds: left to right is the share of its income from government, bottom to top the share from Tri-State Advocacy Project. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%1%3%4%5%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    1report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    typical government reliance, FY20–25
    How this is measured
    Government income is each org’s traced federal awards (USASpending grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that a grant caused the public funding. Coverage is precision-first, a floor rather than a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12 to 24 months.
    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Tri-State Advocacy Project?

    Find your warmest path to Tri-State Advocacy Project 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.

    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 52 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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