· Private foundation
Margaret Raphael Foundation
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.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2020–2025.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2025
- Under $10k2 grants · $13k
- $10k–50k15 grants · $319k
- $50k–250k3 grants · $175k
| Recipient | Amount |
|---|---|
| BEAVER COUNTY HUMANE SOCIETY | $75,000 |
| GUARDIAN ANGELS MEDICAL SERVICE DOGS INC | $50,000 |
| ORPHANS OF THE STORM | $50,000 |
| HOPE HAVEN FARM SANCTUARY | $37,300 |
| ANIMAL FRIENDS | $35,000 |
| SOUTH HILLS PET RESCUE | $35,000 |
| ARABIAN RESCUE MISSION INC | $32,000 |
| HUMANE ANIMAL RESCUE | $25,000 |
| HOMELESS CAT MANAGEMENT TEAM | $20,000 |
| TAMERLAINE SANCTUARY & PRESERVE | $20,000 |
| RUNAWAYS ANIMAL RESCUE | $20,000 |
| BIRD LAB INC | $20,000 |
| NO DOG LEFT BEHIND | $15,000 |
| WILDLIFE WORKS | $15,000 |
| NATIONAL AVIARY PITTSBURGH INC | $15,000 |
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 (FY21–25, $318k) land where the poverty rate runs at 16%, against an area that typically sits at 11%. 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.
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 +30% since the first grant, against +3% for the ones you funded once.
26 repeat relationships — 16 still active in FY2025, 10 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, 89% of grant dollars renewed an existing relationship; $55k 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
- BCBEAVER COUNTY HUMANE SOCIETY5× · 2020–2025 · $310k · revenue +63%
- GAGUARDIAN ANGELS MEDICAL SERVICE DOGS INC4× · 2021–2025 · $308k · revenue +20%
- OOORPHANS OF THE STORM3× · 2022–2025 · $150k · revenue +44%
Funded once
- APAnimal Protectors of Allegheny Valleyone grant, 2020 · $25k · revenue -4%
- MMMALCOLMS MAGIC COMMUNITY CAT ALLIANCEone grant, 2020 · $25k · revenue +4%
- MFMonroeville Foundation Incone grant, 2020 · $23k
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.
Animal Rescue
To help injured, abandoned and unwanted animals. We provide food, vet care that includes heartworm prevention and spay or neuter services, shelter and anything else needed.
Animal Welfare
An animal rescue/adoption Agency. Rescued animals are from kill shelters or owner surrenders facing hardship then rehabbed/medical completed while in foster care then adopted into loving homes.
Find homes for homeless/abandoned dogs. Provide full vet car and housing while awaiting adoption,
Animal Welfare
To help rescue unwanted pets
Animal rescue
For reference, the grantee most central to the portfolio’s shape is Humane Animal Rescue and the most unlike its peers is Bird Lab 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 22 years old; the field is 19. You back the established end — and your money leans older still.
The field is 18% startups (under 5 years old) — 8% of your grantees by number, and just 2% of your money.
The orgs you fund almost never close — 2% lost their exemption, against 9% 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.
38 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. 38 of the 47 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 BEAVER COUNTY HUMANE SOCIETY ↗
- Who funds GUARDIAN ANGELS MEDICAL SERVICE DOGS INC ↗
- Who funds HEAL ANIMAL RESCUE ↗
- Who funds ORPHANS OF THE STORM ↗
- Who funds THE ARABIAN RESCUE MISSION INC ↗
- Who funds HOPE HAVEN FARM SANCTUARY ↗
- Who funds Humane Society Of Westmoreland County ↗
- Who funds WILDLIFE WORKS INC ↗
- Who funds WASHINGTON AREA HUMANE SOCIETY ↗
- Who funds HUMANE ANIMAL RESCUE ↗
- Who funds Animal Friends Inc ↗
- Who funds BUTLER COUNTY HUMANE SOCIETY ↗
- Who funds SPERANZA ANIMAL RESCUE INC ↗
- Who funds No Dog Left Behind ↗
- Who funds Runaways Animal Rescue ↗
- Who funds Bird Lab Inc ↗
- Who funds Senior Hearts Rescue and Renewal ↗
- Who funds NATIONAL AVIARY IN PITTSBURGH INC ↗
- Who funds PAW WARRIORS INC ↗
- Who funds Animal Protectors of Allegheny Valley ↗
- Who funds MALCOLMS MAGIC COMMUNITY CAT ALLIANCE ↗
- Who funds CLUB PET ADOPTION INC ↗
- Who funds Monroeville Foundation Inc ↗
- Who funds TAMERLAINE FARM ANIMAL SANCTUARY ↗
- Who funds HOMELESS CAT MANAGEMENT TEAM INC ↗
- Who funds UNITED DISABILITIES SERVICES ↗
- Who funds PILOTS TO THE RESCUE INC ↗
- Who funds Washington Humane Society ↗
- Who funds GRAY PAWS SANCTUARY ↗
- Who funds NO DOG LEFT BEHIND INC ↗
- Who funds Outreach Teen and Family Services Inc ↗
- Who funds ORPHANS OF THE STORM INC ↗
- Who funds Bedford County Humane Society ↗
- Who funds Humane Society of Greene County 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: The Pittsburgh Foundation · Eqt Foundation · Peterson Family Foundation-Tr · Shear Family Foundation Inc · The Cigna Group Foundation · Fred J and Shirley H Jordan Foundation · The United Way of Southwestern Pennsylvania · Jessie Corson Trust · James and Melanie Crockard Foundation · Herbert G Feldman Charitable Foundation · Edward B Dunlap Jr Foundation · Hillman Family Foundations
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 Margaret Raphael 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.
Warm introductions · Powered by PlinthPlus
How do I get to Margaret Raphael Foundation?
Find your warmest path to Margaret Raphael 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.