· Private foundation
Earl W and Ina G Tabor Foundation
Its FY2025 filing reports that it accepted unsolicited grant applications.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2017–2025.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2025
- Under $10k20 grants · $77k
- $10k–50k2 grants · $35k
- $50k–250k1 grant · $100k
| Recipient | Amount |
|---|---|
| Tioga Co Ptnrshp for Comm Health | $100,000 |
| Valley Youth Initiative | $20,000 |
| Individual grant recipient | $15,000 |
| Mansfield Food Pantry | $7,300 |
| Tioga Co Agricultural Assoc | $6,600 |
| Tioga County Partnership for Community Health | $6,600 |
| Compassion Center of Westfield | $6,200 |
| Tioga Partnership for Community Health | $5,352 |
| Child Hunger Outreach Partners | $5,000 |
| Trinity Lutheran School | $5,000 |
| Make-A-Wish Foundation | $5,000 |
| Tioga Community Food Bank | $4,000 |
| Westfield Youth Baseball Assoc | $3,719 |
| Knoxville Food Pantry | $3,500 |
| Blossburg UMS Food Pantry | $3,000 |
Do your dollars go where the need is?
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Your human-services grants (FY17–24, $117k) land where the poverty rate runs at 12%, against an area that typically sits at 12%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.
US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving.
Who you back again
Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.
And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +45% since the first grant, against +29% for the ones you funded once.
34 repeat relationships — 19 still active in FY2025, 15 since wound down; 4 grantees were first funded in FY2025 (too recent to call).
How the two cohorts compare
Organizations
Total granted
Median revenue growth · since first grant
Still filing today
New vs renewed · share of each year
In FY2025, 88% of grant dollars renewed an existing relationship; $26k went to new ones.
Where new relationships form · theme of each grantee’s first grant
First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). The earliest year is left-censored: relationships that predate the data read as “new.” Theme is the grantee’s IRS cause.
Backed again, and grew
- TLTHE LEARNING TREE OF WELLSBORO6× · 2017–2024 · $97k · revenue +48%
- PIPARTNERS IN PROGRESS INC7× · 2017–2025 · $81k · revenue +176%
- MFMANSFIELD FOOD PANTRY8× · 2018–2025 · $49k · revenue +128%
Funded once
- IGIndividual grant recipientone grant, 2017 · $25k
- WEWELLSBORO ELEMENTARY PTOone grant, 2018 · $23k · revenue -83%
- TGTioga Grange #1223one grant, 2023 · $20k
Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.
The map has a center of gravity: the average direction from the rest of the sector toward the organizations the foundation funds — the shape of its giving. Scoring every nonprofit along that direction surfaces the ones that look most like the portfolio. These are the closest matchesthat aren’t grantees — a resemblance in what they say they do, not a recommendation.
To provide volunteer fire and rescue services to the borough of wellsboro and the townships of charleston, delmar and shippen in tioga county pennsylvania.
Library services to community
To provide free library services to all residents of the borough of woodstown and the township of pilesgrove
Public Library open free of charge to all members of the community
Operation of non-profit public liabrary in waterford, pa
The organization operates a library for the use of the general public
To provide free public library services to the community at its main location and three branches located in plains and wilkes-barre, pa
Operate a public library
Operation of a community library in honey brook, pennsylvania.
To eliminate food insecurity in the towns of waldoboro, bremen, and nobleboro.
For reference, the grantee most central to the portfolio’s shape is Wellsboro Foundation Inc and the most unlike its peers is Three Springs Ministries Inc. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
Your grantees are a median of 25 years old; the field is 25. You back the younger end — and your money leans older still.
The field is 13% startups (under 5 years old) — 6% of your grantees by number, and just 1% of your money.
The orgs you fund almost never close — 0.0% lost their exemption, against 4% of the field you don’t fund.
Age = years since IRS exemption (a founding proxy). “Closed” = auto-revocation for 3 years of non-filing — a floor on closure, not proof, and bigger established orgs lapse least. Association, not causation.
24 grantees tracked through their own filings, 2017–2025.
Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.
Counted here: distinct organizations you funded across 2017–2025, not grant rows in a single year — so this will not match the grant count on the cover. 24 of the 72 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.
Where your money sits — by cause, then by grantee
Each org by its size and your share of it — top-left is where you’re load-bearing
Go grantee by grantee — a decade per org, and how each moved after you funded them
A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.
- Who funds THE LEARNING TREE OF WELLSBORO ↗
- Who funds PARTNERS IN PROGRESS INC ↗
- Who funds WELLSBORO AREA EDUCATION FOUNDATION ↗
- Who funds MANSFIELD FOOD PANTRY ↗
- Who funds HIS THOUSAND HILLS INC ↗
- Who funds WELLSBORO RIDING CLUB INC ↗
- Who funds WELLSBORO ELEMENTARY PTO ↗
- Who funds DEANE CENTER FOR THE PERFORMING ARTS INC ↗
- Who funds WELLSBORO FOUNDATION INC ↗
- Who funds WELLSBORO AREA FOOD PANTRY ↗
- Who funds TIOGA COUNTY PARTNERSHIP FOR COMMUNITY HEALTH ↗
- Who funds WELLSBORO LITTLE LEAGUE ↗
- Who funds YMCA OF THE ROSES ↗
- Who funds WELLSBORO COMMUNITY FOUNDATION ↗
- Who funds WESTFIELD PUBLIC LIBRARY ↗
- Who funds THREE SPRINGS MINISTRIES INC ↗
The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a tightly interlocked camp — most of these funders back each other's grantees too.
Open a dossier: Horace B Packer Foundation Inc · Charles Knox & Margaret C Etner Foundation · Ernest L & Mildred Roberts Sweet Foundation · Deerfield Charitable Trust · David G Patterson Foundation · Dunham Family Foundation · Baker Foundation · Central Pennsylvania Food Bank · Marsha Kay Mase Foundation · McInroy-Sheffer People Trust Ta · First Community Foundation Partnership of Pennsylvania · Albert S & Mary Guiles Krieger Foundation
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.
Government reliance of your grantees
Every dot is one organization Earl W and Ina G Tabor Foundation funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.
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 your grant caused the public funding. Coverage is precision-first — a floor, not 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 12–24 months.
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Find your warmest path to Earl W and Ina G Tabor Foundation 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.