· Private foundation
Leonard and Lois Green Charitable Foundation
Its FY2025 filing reports that it accepted unsolicited grant applications.
What you funded, over time
Every grant clustered by its grantee’s IRS cause code (NTEE), by year — across FY2017–2025.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2025
- Under $10k16 grants · $62k
- $10k–50k16 grants · $188k
- $50k–250k2 grants · $208k
- $250k+1 grant · $1.0M
| Recipient | Amount |
|---|---|
| BABSON COLLEGE | $1,000,000 |
| NATIONAL STUTTERING FOUNDATION | $130,000 |
| RUMSON JEWISH CENTER | $78,409 |
| NY RACE TRACK CHAPLAINCY | $27,500 |
| WILL 2 TREP INC | $15,000 |
| MOUNTAIN SCHOOL AT WINHALL | $15,000 |
| BACKSTRETCH EMPLOYEE SERVICE TEAM | $10,000 |
| JEWISH EDUCATION LOAN FUND INC | $10,000 |
| ARTIC ICE PROJECT | $10,000 |
| EQUALITY NORTH CAROLINA | $10,000 |
| 9 MILE PROJECT | $10,000 |
| GLOBAL PROJECT AGAINST HATE AND EXTREMISM | $10,000 |
| MEGHAN ROSE BRADLEY FOUNDATION | $10,000 |
| PARTNERS IN HEALTH | $10,000 |
| ST ANDREW'S SCHOOL | $10,000 |
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 (FY18–24, $39k) land where the poverty rate runs at 11%, against an area that typically sits at 10%. 98% 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.
Which US states your grants reach
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 +13% since the first grant, against +5% for the ones you funded once.
40 repeat relationships — 18 still active in FY2025, 22 since wound down; 17 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, 86% of grant dollars renewed an existing relationship; $204k 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
BABSON COLLEGE5× · 2018–2025 · $6.5M · revenue +26%- NVNEW VOCATIONS RACEHORSE ADOPTION6× · 2020–2025 · $68k · revenue +94%
- JHJEREMY'S HEROES INC8× · 2018–2025 · $66k · revenue +31% · 43% of their budget
Funded once
- MSMEMORIAL SLOAN KETTERING CANCER CENTERone grant, 2020 · $1.0M
- GFGCSEN FOUNDATIONone grant, 2023 · $350k · revenue -54% · 52% of their budget
- RBRWJ BARNABAS HEALTHone grant, 2020 · $103k
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.
Operate a state-of-the-art, world-class genomic research center that creates and uses advanced genomics to understand the genetic basis of disease. for more information, see schedule o.
Nyu is a private university with approximately 60,000 matriculating students in 20 schools and institutes. nyu's primary missions are education, research and scholarship, and patient care.
Research, education and general - princeton university is a private not-for-profit, non-sectarian institution of higher learning with approximately 5,700 undergraduate and 3,300 graduate students. 2,500 students graduated in the 2024-2025…
Undergraduate, graduate, and professional education and research across a broad array of academic domains.
Provide clinical instruction to and supervision of medical school students, interns and residents and, incident thereto, rendering professional services.
To educate students to be ethical and socially responsible leaders in a global community.
The mission of the institute is to translate basic genetic and molecular mechanisms of schizophrenia and related developmental brain disorders into clinical advances that change the lives of affected individuals. it is catalyzing a new…
Provide an independent forum for those who dare to read, think, speak, and write to advance the professional, literary, and scientific understanding of sea power and other issues critical to global security.
Susan g. komen 's mission is to save lives by meeting the most critical needs in our communities & investing in breakthrough research to prevent & cure breast cancer.
We educate the next generation of leaders to improve the health of our society.
The mission of mit is to advance knowledge and educate students in science, technology, and other areas of scholarship that will best serve the nation and the world in the 21st century.
Provide clinical instruction to and supervision of medical school students, interns and residents and, incident thereto, rendering professional services.
For reference, the grantee most central to the portfolio’s shape is Food for the Poor Inc and the most unlike its peers is Blue Buffalo Foundation Inc. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
For each theme you fund, this compares how the sector’s money is shifting with how your own giving is shifting.
Sector change and giving change are each shown relative to their own range, growing (right) or shrinking (left); both normalized, so inflation isn’t mistaken for growth.
Your grantees are a median of 32 years old; the field is 17. You back the established end — and your money leans older still.
The field is 20% startups (under 5 years old) — 7% of your grantees by number, and just 1% of your money.
The orgs you fund almost never close — 1% lost their exemption, against 11% 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.
91 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. 91 of the 167 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 BABSON COLLEGE ↗
- Who funds GCSEN FOUNDATION ↗
- Who funds THOROUGHBRED CHARITIES OF AMERICA INC ↗
- Who funds NEW VOCATIONS RACEHORSE ADOPTION ↗
- Who funds JEREMY'S HEROES INC ↗
- Who funds OCALA FARM MINISTRY INC ↗
- Who funds LITTLE ANGELS SERVICE DOGS ↗
- Who funds PLANNED PARENTHOOD FEDERATION OF AMERICA INC ↗
- Who funds STABLE RECOVERY INC ↗
- Who funds KOOL KIDS FOUNDATION INC ↗
- Who funds THE BRIDGE OF BOOKS FOUNDATION INC ↗
- Who funds BACKSTRETCH EMPLOYEE SERVICE TEAM OF NEW YORK INC ↗
- Who funds BLUE BUFFALO FOUNDATION INC ↗
- Who funds RFH Touchdown Club Inc ↗
- Who funds MEGHAN ROSE BRADLEY FOUNDATION INC ↗
- Who funds TAKE 2 SECOND CAREER THOROUGHBRED PROGRAM INC ↗
- Who funds THE MOUNTAIN SCHOOL AT WINHALL INC ↗
- Who funds PARTNERS IN HEALTH A NONPROFIT CORPORATION ↗
- Who funds MONMOUTH UNIVERSITY INC ↗
- Who funds OJ ANDERSON SCHOLARSHIP FOUNDATION INC ↗
- Who funds NATIONAL MUSEUM OF RACING INC ↗
- Who funds MONMOUTH DAY CARE CENTER INC ↗
- Who funds CAROLINA ABORTION FUND ↗
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: Thoroughbred Charities of America Inc · The Charles and Mary Heider Family Foundation · New Jersey Natural Gas Company Charity Inc · Blue Grass Community Foundation Inc · Nafzger Family Foundation · John William Pope Foundation · American Express Foundation · Oceanfirst Foundation · Columbia Bank Foundation · The Pfizer Foundation Inc · Chubb Charitable Foundation · Verizon 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 Leonard and Lois Green Charitable 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, a single department, or state — and drag the year to watch it move.
- Hias Inc — 88% of income from government
- Eva's Village Inc — 19% of income from government
- Jersey Shore Dream Center — 14% of income from government
- Preeclampsia Foundation Inc — 9% of income from government
- Dana-Farber Cancer Institute Inc — 7% of income from government
- Monmouth Day Care Center Inc — 6% of income from government
- Lunch Break Inc — 4% of income from government
- Mote Marine Laboratory Inc — 4% of income from government
- Babson College — 3% of income from government
- University of Hartford — 1% of income from government
- Monmouth University Inc — 0% of income from government
- Eckerd College — 0% of income from government
- Partners in Health a Nonprofit Corporation — 0% of income from government
- Pan-Massachusetts Challenge Inc — 0% of income from government
- Horse Farms Forever Inc — 0% of income from government
- Wounded Warrior Project Inc — 0% of income from government
- Food for the Poor Inc — 0% of income from government
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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How do I get to Leonard and Lois Green Charitable Foundation?
Find your warmest path to Leonard and Lois Green Charitable 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.