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Bucket Foundation at a glance

· 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 it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
01What it funds
0175% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2025.

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

Where the money goes

Grants by size, and the largest recipients.

$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

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

show:

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

area typical 11%HUMANE FARMING ASSOCIATION: $500 → 8%BEAUTY'S HAVEN EQUINE RESCUE: $3k → 16%PEACE LOVE AND ANIMALS RESCUE: $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 & ANIMALS: $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%ELIZABETH SAIN PRIVATE RESCUE: $1k → 11%SUREATHA WILSON: $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%TIM SMITH: $500 → 11%ELIZABETH SAIN PRIVATE RESCUE: $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
How this is measured
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.

Which US states its grants reach

WA
NY
NJ
CA
VA
TN
AL
TX
FL
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

93%of every dollar goes to organizations it has 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
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). 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%
How this is measured

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

04Its field

Closest unfunded matches

The nonprofits that most resemble its grantees but are not funded by it, scored along the direction from the rest of the field toward the portfolio. 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
How this is measured
The grantee most central to the portfolio’s shape is Humane Farming Association; 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 grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, 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.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

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

Where the money sits, by cause and 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 grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's 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
Grantee by grantee: a decade per organization, before and after funding

A decade per grantee: revenue shaded, 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 ↗

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a tightly interlocked group: most of these funders back each other's grantees too.

Paypal Charitable Giv…Amazonsmile Foundation
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

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization Bucket Foundation funds: left to right is the share of its income from government, bottom to top the share from Bucket Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 10%0%1%3%5%funder's 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, FY20–25
    How this is measured
    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 a grant caused the public funding. Coverage is precision-first, a floor rather than 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 to 24 months.

    On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 27 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

    How this is measured
    Each figure carries one of six labels. Filed is what the funder reported on its 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.

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

    Source object · view filing

    Play a game based on Bucket’s filings →

    More from the funding graph

    The unnamed billions
    grants reported with no recipient in the public record
    The regranting layer
    51% of grant dollars land in the regranting layer
    The DAF merry-go-round
    $9.7B circulates between donor-advised funds
    The endowment market
    who holds foundation money, and what just moved
    The camps
    funders cluster by geography, not ideology
    By state
    where grant money is based, and what stays home