Skip to content
Plinth

· Private foundation

Bucket 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.

$21k
Granted FY2025still arriving
7
Grants FY2025still arriving
2
States reached
$9k
Largest
01What you fund
0175% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20172025.

Animals$125kEducation$5kScience & Tech$1kOther$0
02FY2025 · 7 grants

Where the money goes

Your grants by size, and where they go.

$2,190
Median grant
2
States reached
$37k
Total assets
Largest grants
RecipientAmount
FELINES & CANINES RESCUE CENTER$8,561
Individual grant recipient$4,300
Individual grant recipient$4,000
LUNA FARMS RESCUE$2,190
ELIZABETH SAIN PRIVATE RESCUE$1,000
Individual grant recipient$500
ZIGGY'S TREE WILDLIFE RESCUE$250
02The need
03

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.

show:

Dollar for dollar, your grants (FY17–25) land where the poverty rate runs at 12%, against an area that typically sits at 11%. 93% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 11%HUMANE FARMING ASSOCIATION: $500 → 8%BEAUTY'S HAVEN EQUINE RESCUE: $3k → 16%PEACE LOVE & ANIMALS: $250 → 10%MADISON ANIMAL RESCUE FOUNDATION: $2k → 11%RESCUE RANGERS: $3k → 13%HASRA: $1k → 13%ZIGGY'S TREE WILDLIFE RESCUE: $500 → 17%AKHAL-TEKE DSLD RESEARCH: $1k → 10%DARLENE FLETCHER: $500 → 6%MIDDLEBURG HUMANE FOUNDATION: $1k → 6%HUMANE FARMING ASSOCIATION: $500 → 8%PEACE LOVE AND ANIMALS RESCUE: $250 → 10%NELL JOHNSTON: $5k → 11%RESCUE RANGERS: $2k → 13%ZIGGY'S TREE WILDLIFE RESCUE: $250 → 17%NELL JOHNSTON: $4k → 11%ZIGGY'S TREE WILDLIFE RESCUE: $250 → 17%SUREATHA WILSON: $4k → 11%ZIGGY'S TREE WILDLIFE RESCUE: $250 → 17%NELL JOHNSTON: $3k → 11%ZIGGY'S TREE WILDLIFE RESCUE: $250 → 17%NELL JOHNSTON: $2k → 11%ZIGGY'S TREE WILDLIFE RESCUE: $250 → 17%SUREATHA WILSON: $2k → 11%ZIGGY'S TREE WILDLIFE RESCUE: $250 → 17%ELIZABETH SAIN PRIVATE RESCUE: $1k → 11%ZIGGY'S TREE WILDLIFE RESCUE: $250 → 17%TIM SMITH: $1k → 11%SUREATHA WILSON: $1k → 11%ELIZABETH SAIN PRIVATE RESCUE: $1k → 11%SUREATHA WILSON: $1k → 11%SUREATHA WILSON: $900 → 11%SUREATHA WILSON: $720 → 11%ELIZABETH SAIN PRIVATE RESCUE: $500 → 11%ELIZABETH SAIN PRIVATE RESCUE: $500 → 11%ELIZABETH SAIN PRIVATE RESCUE: $500 → 11%ELIZABETH SAIN PRIVATE RESCUE: $500 → 11%ELIZABETH SAIN PRIVATE RESCUE: $500 → 11%TIM SMITH: $500 → 11%ELIZABETH SAIN PRIVATE RESCUE: $500 → 11%ELIZABETH SAIN PRIVATE RESCUE: $500 → 11%LOST PAWS TRAPPING TEAM: $1k → 11%ROCKING M RESCUE & REHAB: $500 → 11%LUNA FARMS RESCUE: $6k → 11%LUNA FARMS RESCUE: $2k → 11%LUNA FARMS RESCUE: $2k → 11%NORTH ALABAMA SPAY SERVICE: $1k → 11%LUNA FARMS RESCUE: $1k → 11%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

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

WA
NY
NJ
CA
VA
TN
AL
TX
FL

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.

03Your edge
repeat funding

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.

93%of every dollar goes to organizations you’ve funded before.
$146k · 12 repeat orgs$11k to everyone else

12 repeat relationships — 7 still active in FY2025, 5 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

12
15

Total granted

$146k
$11k

Median revenue growth · since first grant

+38%
+48%

Still filing today

33%
47%

New vs renewed · share of each year

In FY2025, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’17’18’19’20’21’22’23’24’25
RenewedFirst-time

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

  • FI
    Felines Inc
    9× · 2017–2025 · $96k · revenue +38%
  • HF
    HUMANE FARMING ASSOCIATION
    2× · 2021–2023 · $1k · revenue +11%
  • TA
    THE AMERICAN SOCIETY FOR THE PREVENTION OF CRUELTY TO ANIMALS
    2× · 2020–2021 · $250 · revenue +37%

Funded once

  • BH
    BEAUTY'S HAVEN FARM & EQUINE RESCUEgraduated
    one grant, 2017 · $3k · revenue +165%
  • MA
    MADISON ANIMAL RESCUE FOUNDATION INC
    one grant, 2017 · $2k · revenue -73%
  • MH
    MIDDLEBURG HUMANE FOUNDATIONgraduated
    one grant, 2017 · $1k · revenue +120%

Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.

04Your field

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.

1
Global Animal Partnership
Animals
2
Fur Animal Rescue

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.

Animals
3
Global Canine and Feline Rescue Association Inc

We rescue cats and dogs suffered on the street and in endangered locations in both new york and china. the mission of our no-kill shelter is to provide stray cats with safe haven and veterinary care before placing them in forever loving…

Animals
4
Muddy Paws Farm Rescue

Muddy Paws Farm Rescue provides a loving forever home to farm animals who are neglected, abused, bound for slaughter, or otherwise need a new forever home.

Animals
5
Anas Safe Haven Rescue Inc

Animal Welfare

Animals
6
K911

To rescue abandoned and displaced cats and dogs, bring them back to health, provide all medical and prepare them for their new home

Animals
7
Grace Farm Animal Rescue and Sanctu
Animals
8
Runaways Animal Rescue
Animals
9
Animal Rescue and Adoption Agency Inc

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.

Animals
10
Heavens Home Rescue Inc

Heavens Home Rescue saves dogs and cats from high kill shelters. We focus our efforts on abuse cases feral dogs hospice cases and pregnant and nursing dogs and cats and the prevention of cruelty to animals.

Animals
11
Sunset Farms Sanctuary

We provide shelter food and vet care for abandoned abused and neglected animals

Animals
12
Cat Tail Farms Feline Sanctuary

Animal rescue and housing

Animals

For reference, the grantee most central to the portfolio’s shape is Humane Farming Association and the most unlike its peers is The American Society for the Prevention of Cruelty to Animals. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.

04the grantee network

11 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 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 11 of the 27 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.

0
Load-bearing (≥25% of a budget)
4
Early backer (in before they grew)
11/11
Grantees still filing
9/11
Grew since you first funded

Where your money sits — by cause, then by grantee

Felines Inc — $96,086 · AnimalsFelines IncLuna Farms Inc — $10,370 · AnimalsLuna Farms Inc+8 more — $7,807 · Animals+8 moreIndividual grant recipient — $13,750 · OtherIndividual grant recipientIndividual grant recipient — $9,120 · OtherIndividual grant recipientELIZABETH SAIN PRIVATE RESCUE — $5,750 · OtherELIZABETH SAIN PRIVATE RESCUERESCUE RANGERS INC — $4,750 · OtherRESCUE RANGERS INCZIGGY'S TREE WILDLIFE RESCUE — $2,500 · OtherZIGGY'S TREE WILDLIFE RESCUEIndividual grant recipient — $1,600 · Other+11 more — $5,195 · Other+11 more
Animals$114,263Other$42,665

Each org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ your share of their budgetFelines Inc — $96,086 over 9y, 1.9% of budgetLuna Farms Inc — $10,370 over 4y, 2.3% of budgetBEAUTY'S HAVEN FARM & EQUINE RESCUE — $2,500 over 1y, 1.2% of budgetMADISON ANIMAL RESCUE FOUNDATION INC — $2,000 over 1y, 1.1% of budgetMIDDLEBURG HUMANE FOUNDATION — $1,000 over 1y, 0.1% of budgetHASRA INC — $1,000 over 1y, 0.3% of budgetHUMANE FARMING ASSOCIATION — $1,000 over 2y, 0.0% of budgetTHE AMERICAN SOCIETY FOR THE PREVENTION OF CRUELTY TO ANIMALS — $250 over 2y, 0.0% of budgetBAT CONSERVATION INTERNATIONAL — $100 over 1y, 0.0% of budgetMERCY FOR ANIMALS INC — $30 over 1y, 0.0% of budgetPROJECT K9 HERO — $27 over 1y, 0.0% of budget
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 Felines Inc
  • Who funds Luna Farms Inc
  • Who funds BEAUTY'S HAVEN FARM & EQUINE RESCUE
  • Who funds MADISON ANIMAL RESCUE FOUNDATION INC
  • Who funds MIDDLEBURG HUMANE FOUNDATION
  • Who funds HASRA INC
  • Who funds HUMANE FARMING ASSOCIATION
  • Who funds THE AMERICAN SOCIETY FOR THE PREVENTION OF CRUELTY TO ANIMALS
  • Who funds BAT CONSERVATION INTERNATIONAL
  • Who funds MERCY FOR ANIMALS INC
  • Who funds PROJECT K9 HERO

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.

Paypal Charitable Giving FundDC8.7× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: Paypal Charitable Giving Fund · Amazonsmile 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 Bucket 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.

2024
202122232425
no gov · 10%0%1%3%5%your share of their income ↑0%25%50%75%100%share of the org’s income from government
    no gov moneyreceives it· size = income
    1get no government money at all
    2report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    typical government reliance, FY2025

    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.

    On method. Every financial figure here is read directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 27 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears. How we build these →

    Generated from your IRS Form 990-PF e-file return for fiscal year 2025, released 2025. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Source object · view filing

    More from the funding graph