· Private foundation
Kurgo Foundation
Its FY2019 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 FY2018–2019.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2019
- Under $10k17 grants · $35k
- $10k–50k3 grants · $30k
| Recipient | Amount |
|---|---|
| LAWRENCEVILLE UNITED | $10,000 |
| BLUEPATH SERVICE DOGS | $10,000 |
| PAWS FOR LIFE INC | $10,000 |
| HEARTLAND ANIMAL SHELTER | $7,500 |
| PROJECT POOCH | $5,000 |
| PAWS NEW ENGLAND | $3,000 |
| THERAPET | $2,500 |
| Individual grant recipient | $2,500 |
| OPERATION OVERWATCH | $2,000 |
| SAVE A DOG INC | $2,000 |
| SWEET PAWS RESCUE | $1,935 |
| GREAT DOG RESCUE NEW ENGLAND | $1,000 |
| SALEM ANIMAL RESCUE LEAGUE | $1,000 |
| NORTHEAST COONHOUD RESCUE | $1,000 |
| PHINNEY'S FRIENDS | $1,000 |
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 (FY18–18, $1k) land where the poverty rate runs at 10%, against an area that typically sits at 10%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Your grants skew toward lower-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.
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 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.
The Organization's mission is to rescue dogs from high-kill animal shelters and place them in loving forever homes. All dogs rescued are given necessary medical care prior to adoption, including required vaccinations. Dogs are placed in…
Find homes for homeless/abandoned dogs. Provide full vet car and housing while awaiting adoption,
To help rescue unwanted pets
Animal rescue organization dedicated to finding homes for animals at the animal shelter. we also provde vet care foster homes, and assistance with homing for special needs animals.
Rescue animals
At Paws From Afar Rescue, a 501c3, New England foster based dog rescue, where the wagging tails meet their happy tails. Our mission is a joyful one: to sprinkle a little magic in matching rescue dogs with their perfect human buddies.
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.
For reference, the grantee most central to the portfolio’s shape is Save a Dog Inc and the most unlike its peers is Lawrenceville United. 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 16. You back the established end — and your money leans older still.
The field is 22% startups (under 5 years old) — 5% of your grantees by number, and just 3% of your money.
The orgs you fund almost never close — 0.0% lost their exemption, against 13% 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.
22 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. 22 of the 25 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 PAWS FOR LIFE INC ↗
- Who funds Lawrenceville United ↗
- Who funds BLUEPATH SERVICE DOGS INC ↗
- Who funds HEARTLAND ANIMAL SHELTER NFP ↗
- Who funds PROJECT POOCH ↗
- Who funds Paws New England ↗
- Who funds THE THERAPET ANIMAL ASSISTED THERAPY FOUNDATION ↗
- Who funds SAVE A DOG INC ↗
- Who funds Sweet Paws Rescue Inc ↗
- Who funds PETCO LOVE ↗
- Who funds LIVE AND LET LIVE FARM INC ↗
- Who funds SALEM ANIMAL RESCUE LEAGUE ↗
- Who funds UNITED ANIMAL NATIONS DBA REDROVER ↗
- Who funds BUTTE HUMANE SOCIETY ↗
- Who funds ANIMAL SERVICES FOUNDATION OF VENTURA COUNTY ↗
- Who funds MILITARY WORKING DOG TEAM SUPPORT ASSOCIATION INC ↗
- Who funds PHINNEY'S FRIENDS INC ↗
- Who funds OPERATION DELTA DOG INC ↗
- Who funds NORTH VALLEY ANIMAL DISASTER GROUP ↗
- Who funds MERRIMACK RIVER FELINE RESCUE SOCIETY INC ↗
- Who funds HELLO BULLY ↗
- Who funds NORTHEAST COONHOUND RESCUE 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 Pfizer Foundation Inc · The Duffield Family Foundation Dba Maddie's Fund · Greater Good Charities · American Tower Corporation Foundation Inc · Petsmart Charities Inc · Analog Devices Foundation · Eastern Bank Foundation · AbbVie Foundation · Network for Good · The Bank of America Charitable Foundation Inc · Charities Aid Foundation America · Jpmorgan Chase 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 Kurgo 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 Kurgo Foundation?
Find your warmest path to Kurgo 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.