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· Private foundation
This foundation does not accept unsolicited requests — it funds preselected organizations.
By grantee IRS cause code (NTEE).
A cause breakdown isn’t shown here: 51% of FRANKLIN FAMILY FOUNDATION’s grantee dollars go to organizations outside the IRS cause taxonomy (common for large international and research funders), so a chart would be mostly “unclassified” and misrepresent the portfolio.
Beneath the NTEE codes, this is what the grant descriptions actually say.
…and in their own words, year by year
Words distinctive to each year’s grant purposes (TF-IDF) · event-driven terms in cyan.
Your grants by size, and where they go.
By grant size · FY2024
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Your human-services grants (FY18–23, $21k) land where the poverty rate runs at 12% — the area typically sits at 8%. 100% of those dollars reach neighborhoods with above-average need. 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 line in 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, United Way ALICE — shown as context about the area, never attributed to your giving.
The same grants, placed two ways — where each recipient sits, and where its stated purpose earmarks the money.
About 13% of FRANKLIN FAMILY FOUNDATION’s grant dollars are earmarked, by their stated purpose, for a different county than the recipient’s own address — money that lands at a nonprofit in one place but is meant to do its work in another. Read by recipient address, 97% of the giving stays in VA; read by stated purpose it is 94% — less of the work is directed home than the recipients' locations suggest.
Recipient view: each grant at its grantee’s ZIP, mapped to a county. Directed view: each grant at the county its stated purpose names, falling back to the recipient’s county when the purpose names no place; US grants only. A county shows only if it carries the top 95% of that view’s dollars. Purposes are read from the foundation’s own 990 grant descriptions.
Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.
26 repeat relationships — 4 still active in FY2024, 22 since wound down; 2 grantees were first funded in FY2024 (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 FY2024, 97% of grant dollars renewed an existing relationship; $3k 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.
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.
Virignia commonwealth university intellectual property foundation's mission is to foster a culture of innovation at virginia commonwealth university (vcu) and to protect and commercialize inventions created by the vcu research enterprise…
To support the educational,scientific & charitable activities of vcu.
New schools of virginia creates more high quality educational opportunities for youth and families in virginia.
Support for individuals impacted by inherited bleeding disorders.
The primary purpose is to receive, manage and expend funds to benefit the uva law school.
To provide excellence in the delivery of healthcare.
The mission of the foundation is to provide brands and services that promote applied research and technological innovations that, in turn, contribute positively to the economic strength of the hampton roads region and the commonwealth of…
Our mission is to improve the health of the communities we serve through our commitment to a common purpose of better patient care, better community health, and lower cost.
The mission of Good Shepherd Episcopal School is to inspire each child to achieve academic excellence within a diverse, nurturing community that builds character and fosters respect for one another and our shared environment, locally and…
Inspire students to contribute to knowledge, justice and positive change.
To provide administrative services to university entities, university associated organizations, or other entities involved in activities which support the university. to engage in matters pertaining to real property for the benefit of the…
For reference, the grantee most central to the portfolio’s shape is St Jude Children's Research Hospital and the most unlike its peers is Children's Hospital of the King's. 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 29 years old; the field is 14. You back the established end — and your money leans older still.
The field is 25% startups (under 5 years old) — 4% of your grantees by number, and just 0% of your money.
The orgs you fund almost never close — 0.0% lost their exemption, against 12% 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.
Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue.
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
A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.
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: Hampton Roads Community Foundation · Tidewater Jewish Foundation Inc · C Barker Champions for Charity Inc · Townebank Foundation · Sentara Health · Dominion Energy Charitable Foundation · United Way of South Hampton Roads · The Windward Foundation · The Ruffin Family Foundation · The Charity Bowl Football Game · Chesapeake Bay Wine Classic Foundation · Patricia and Douglas Perry 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.
Every dot is one organisation FRANKLIN FAMILY 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. 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.
Through Plinth
This dossier was generated cold from public filings. In Plinth it’s a working system — every applicant assessed and every grant monitored. Here’s a taste, run on one of your grantees: CHESAPEAKE BAY WINE CLASSIC FOUNDATION.
Agentic due diligence · confidence × risk
~3 months of operating runway; revenue grew over 6 filed years.
6 years of Form 990 filings, still active; revenue up 2.6× since.
US 501(c)(3); EIN 541831607 on file with current IRS Form 990 filings.
Board composition & governance documents — verified live in Plinth from the applicant.
OFAC / UN sanctions screening — run live in Plinth at assessment.
Staffing, M&E and activity alignment — assessed live in Plinth from submitted proposals.
Live · Plinth’s real DD engine
Run the actual assessment on CHESAPEAKE BAY WINE CLASSIC FOUNDATION, cold from public data.
Generated live from public IRS filings + open web sources by Plinth’s agentic engine. Shown as an illustration of the product, not a formal assessment.
Post-award monitoring · continuous checks
What you see here is static and public. In Plinth it’s operational — the full six-pillar framework on every applicant (with their own documents + live registry and sanctions checks), monitoring dashboards on every award, custom board reports, and eligibility routing for intake.
Preview generated from this grantee’s public IRS filings and independent reporting. Pillars marked “live in Plinth” require the applicant’s submitted documents. Shown as illustration, not a formal assessment.
Warm introductions · Powered by PlinthPro
Find your warmest path to Franklin Family Foundation through people who sit on both boards. Search for your organization and Plinth traces the introduction across shared trustees and officers.
Every link is a documented governance overlap in public IRS 990 filings — not a personal network — and each hop carries its own confidence tier. Low-confidence or distant paths are held back rather than guessed.