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Barkmerica at a glanceAlso receives grants: funding profile →

· Private foundation

Barkmerica

SERVING ANIMALS, CHILDREN, THE ELDERLY, AND THOSE IN NEED OF A HELPING HAND.

$270k
Granted FY2025still arriving
6
Grants FY2025still arriving
3
States reached
$170k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
05Through PlinthRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2025.

Animals$325kYouth Development$116kCommunity Improvement$103kHuman Services$85kPublic Safety & Disaster$25kRecreation & Sports$10k
02FY2025 · 6 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k2 grants · $3k
  • $10k–50k2 grants · $37k
  • $50k–250k2 grants · $230k
$25,000
Median grant
3
States reached
$1.1M
Total assets
Largest grants
RecipientAmount
A Path 4 Paws$170,000
Starting Over Animal Refuge$60,000
High Desert Police K9 Association$25,000
Individual grant recipient$11,870
Clark County Junior Livestock Association$2,000
Amor Peludo$756
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:

Its human-services grants (FY23–23, $75k) land where the poverty rate runs at 13%, against an area that typically sits at 10%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%Hope for Prisoners: $75k → 13%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.
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.

81%of every dollar goes to organizations it has funded before.
$536k · 6 repeat orgs$127k to everyone else

Grantees it renews have grown median revenue +122% since the first grant, against +48% for those funded once.

6 repeat relationships: 4 still active in FY2025, 2 since wound down; 2 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

6
4

Total granted

$536k
$100k

Median revenue growth · since first grant

+122%
+48%

Still filing today

50%
50%

New vs renewed · share of each year

In FY2025, 90% of grant dollars renewed an existing relationship; $27k went to new ones.

50%100%’20’21’23’24’25
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’20’21’23’24’25
AnimalsYouth DevelopmentHuman ServicesOther
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

  • SO
    STARTING OVER ANIMAL REFUGE INC
    2× · 2024–2025 · $70k · revenue +122% · 50% of their budget
  • AP
    AMOR PELUDO
    3× · 2023–2025 · $10k · revenue +313%
  • VP
    VEGAS PET RESCUE PROJECT
    2× · 2021–2024 · $10k · revenue +107%

Funded once

  • HF
    HOPE FOR PRISONERS INCgraduated
    one grant, 2023 · $75k · revenue +48%
  • CY
    Can You Spare A Story
    one grant, 2021 · $10k
  • RP
    ROSE PARK SPORTS ASSOCIATION
    one grant, 2021 · $10k
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
Desert Dog Rescue Inc

Animal rescue

Animals
2
Hope Fur Paws 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.

Animals
3
Purple Paws 2nd Chance Rescue
Animals
4
Donna's Love Pet Rescue
Animals
5
Recycled Pets Rescue

To provide care for orphaned pets

—
6
Bacan dog rescue

Dog Rescue and adoptions

Animals
7
Pets Without Partners

Find homes for homeless/abandoned dogs. Provide full vet car and housing while awaiting adoption,

Animals
8
Pound Pets Inc

Animal Rescue - finding homes for abandoned animals in Granite City, spaying and neutering stray animals and feral cats

Animals
9
Pom and the Hound Animal Refuge

Animal Welfare

—
10
Jl Animal Rescue Inc
Animals
11
J-Lo's Animal Rescue & Sanctuary in

Animal care and rescue

Animals
12
All About Animals Rescue Inc

Rescue and rehome homeless cats and dogs

Animals
How this is measured
The grantee most central to the portfolio’s shape is Vegas Pet Rescue Project; the most unlike its peers is High Desert Police K9 Association. 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

9 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. 9 of the 12 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.

2
Load-bearing (≥25% of a budget)
5
Early backer (in before they grew)
7/9
Grantees still filing
6/9
Grew since first funded

Where the money sits, by cause and then by grantee

A Path 4 Paws: $230,000 · OtherA Path 4 PawsIndividual grant recipient: $102,788 · OtherIndividual grant recipientHIGH DESERT POLICE K9 ASSOCIATION: $25,000 · OtherHIGH DESERT POLICE K9 ASSOCIATION+2 more: $20,000 · OtherLADY DI TALKS TO YOUTH AND PARENTS: $113,500 · Youth DevelopmentLADY DI TALKS TO YO…+1 more: $2,000 · Youth DevelopmentSTARTING OVER ANIMAL REFUGE INC: $70,000 · AnimalsSTARTING OVER AN…AMOR PELUDO: $9,961 · AnimalsAMOR PELUDOVEGAS PET RESCUE PROJECT: $9,800 · AnimalsVEGAS PET RESCUE…Nuzzles & Co: $5,000 · AnimalsHOPE FOR PRISONERS INC: $75,000 · Human ServicesHOPE FOR PRI…
Other$377,788Youth Development$115,500Animals$94,761Human Services$75,000

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$1.0Mgrantee revenue →↑ funder's share of their budgetLADY DI TALKS TO YOUTH AND PARENTS: $113,500 over 4y, 66% of budgetHOPE FOR PRISONERS INC: $75,000 over 1y, 2.3% of budgetSTARTING OVER ANIMAL REFUGE INC: $70,000 over 2y, 50% of budgetVEGAS PET RESCUE PROJECT: $9,800 over 2y, 2.0% of budgetNuzzles & Co: $5,000 over 1y, 0.3% 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.

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 set of overlaps that mostly run through this funder rather than between each other.

Amazonsmile Foundation
Amazonsmile FoundationWA1.8× affinity5 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: 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 Barkmerica funds: left to right is the share of its income from government, bottom to top the share from Barkmerica. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 10%5%19%42%75%funder's share of their income ↑0%1%3%4%5%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
    ⤢ axis zoomed · 0–5%
    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.
    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Barkmerica?

    Find your warmest path to Barkmerica 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.

    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 12 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 Barkmerica’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