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· Private foundation

The Peterman Foundation Inc

Its FY2025 filing reports that it accepted unsolicited grant applications.

$358k
Granted FY2025still arriving
10
Grants FY2025still arriving
1
States reached
$70k
Largest
01What you fund
01100% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20202025.

Animals$1.5MHuman Services$132k
02FY2025 · 10 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2025

  • Under $10k2 grants · $10k
  • $10k–50k5 grants · $146k
  • $50k–250k3 grants · $203k
$30,500
Median grant
1
States reached
$4.4M
Total assets
Largest grants
RecipientAmount
PET HELPERS INC$70,000
ANIMAL FRIENDS OF NORTH$70,000
MOUNTAINEER SPAY NEUTER ASSIST PRO$62,500
MARION COUNTY HUMANE SOCIETY$35,000
MOUNTAINEERS FOR MUTTS$30,500
STEPPING STONES$30,437
HOMEWARD BOUND WV INC$30,000
PRESTON COUNTY HUMANE SOCIET$20,000
DAVIS CREW KITTENS$7,500
APPALACHIAN PEACE PAWS RESCUE$2,500
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 (FY20–25) land where the poverty rate runs at 17%, against an area that typically sits at 13%. 100% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 13%HOMEWARD BOUND WV INC: $20k → 14%PET HELPERS INC: $70k → 15%TAYLOR COUNTY HUMANE SOCIETY: $10k → 16%MOUNTAINEER SPAY NEUTER ASSIST PRO: $50k → 19%HOMEWARD BOUND WV INC: $20k → 14%PET HELPERS INC: $60k → 15%MOUNTAINEER SPAY NEUTER ASSIST PRO: $50k → 19%HOMEWARD BOUND WV INC: $20k → 14%PET HELPERS INC: $50k → 15%MOUNTAINEER SPAY NEUTER ASSIST PRO: $50k → 19%HOMEWARD BOUND WV INC: $20k → 14%PET HELPERS INC: $50k → 15%MOUNTAINEER SPAY NEUTER ASSIST PRO: $50k → 19%HOMEWARD BOUND WV INC: $20k → 14%PET HELPERS INC: $50k → 15%MOUNTAINEER SPAY NEUTER ASSIST PRO: $50k → 19%PRESTON COUNTY HUMANE SOCIET: $20k → 14%PET HELPERS INC: $50k → 15%STEPPING STONES: $25k → 19%PRESTON COUNTY HUMANE SOCIETY: $10k → 14%MARION COUNTY HUMANE SOCIETY: $35k → 15%STEPPING STONES: $16k → 19%PRESTON COUNTY HUMANE SOCIETY: $10k → 14%MARION COUNTY HUMANE SOCIETY: $25k → 15%STEPPING STONES: $16k → 19%PRESTON COUNTY HUMANE SOCIETY: $10k → 14%MARION COUNTY HUMANE SOCIETY: $25k → 15%DAVIS CREW KITTENS: $8k → 19%MARION COUNTY HUMANE SOCIETY: $25k → 15%APPALACHIAN PEACE PAWS RESCUE: $5k → 19%MARION COUNTY HUMANE SOCIETY: $25k → 15%APPALACHIAN PEACE PAWS RESCUE: $5k → 19%MARION COUNTY HUMANE SOCIETY: $25k → 15%ANIMAL FRIENDS OF NORTH: $70k → 19%ANIMAL FRIENDS OF NORTH: $60k → 19%ANIMAL FRIENDS OF NORTH CENTRAL WV: $50k → 19%ANIMAL FRIENDS OF NORTH CENTRAL WV: $50k → 19%ANIMAL FRIENDS OF NORTH CENTRAL WV: $50k → 19%ANIMAL FRIENDS OF NORTH: $50k → 19%MOUNTAINEERS FOR MUTTS: $31k → 19%STEPPING STONES: $30k → 19%STEPPING STONES: $28k → 19%MOUNTAINEERS FOR MUTTS: $24k → 19%MOUNTAINEERS FOR MUTTS: $19k → 19%MOUNTAINEERS FOR MUTTS: $19k → 19%MOUNTAINEERS FOR MUTTS: $19k → 19%MOUNTAINEERS FOR MUTTS: $19k → 19%STEPPING STONES: $17k → 19%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.

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.

99%of every dollar goes to organizations you’ve funded before.
$1.6M · 13 repeat orgs$10k to everyone else

And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +33% since the first grant, against -15% for the ones you funded once.

13 repeat relationships — 10 still active in FY2025, 3 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

13
1

Total granted

$1.6M
$10k

Median revenue growth · since first grant

+33%
-15%

Still filing today

54%
100%

New vs renewed · share of each year

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

50%100%’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

  • PH
    PET HELPERS INCORPORATED
    6× · 2020–2025 · $330k · revenue +28% · 33% of their budget
  • MC
    MARION COUNTY HUMANE SOCIETY
    6× · 2020–2025 · $160k · revenue +91%
  • AF
    ANIMAL FRIENDS OF NORTH CENTRAL WV
    3× · 2020–2022 · $150k · revenue +137%

Funded once

  • TC
    TAYLOR COUNTY HUMANE SOCIETY
    one grant, 2022 · $10k · revenue -15%

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
Humane Society of Hardy County Inc

The Humane Society Hardy County strives reduce feral animal populations while enhancing the health of our communities and providing for those animals that may be adopted, a safe, nurturing, and healthy environment.

Animals
2
Mineral County Humane Society Inc

rescue-spay-neuter and adopt into forever homes

Animals
3
Doddridge County Humane Society Inc

Animal Shelter

Animals
4
Wayne County Humane Society
Animals
5
Butler County Humane Society
Animals
6
Berkeley County Humane Society

Animal welfare

Animals
7
Phelps County Animal Rescue

provide shelter and care for dogs and cats

Animals
8
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
9
Starke County Humane Society Inc

Animal shelter

Animals
10
Williams County Humane Society

To spay and neuter animals and provide shelter

11
Stephens County Humane Society

We are a non-profit, no-kill animal rescue shelterToday, the Humane Society providesMedical treatment for animals,shots and heart worm tests, medications,foster homes, care and feed for fostered animals not housed at the shelter, trailer…

Animals
12
Pleasants County Humane Society Inc

Shelter & loving care for strays

Recreation & Sports

For reference, the grantee most central to the portfolio’s shape is Mountaineers for Mutts Corp and the most unlike its peers is Stepping Stones Inc. 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

8 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. 8 of the 14 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.

3
Load-bearing (≥25% of a budget)
3
Early backer (in before they grew)
8/8
Grantees still filing
7/8
Grew since you first funded

Where your money sits — by cause, then by grantee

PET HELPERS INCORPORATED — $330,000 · AnimalsPET HELPERS INCORPORATEDMARION COUNTY HUMANE SOCIETY — $160,000 · AnimalsMARION COUNTY HUMANE SOCIETYANIMAL FRIENDS OF NORTH CENTRAL WV — $150,000 · AnimalsANIMAL FRIENDS OF NORTH CENTRAL WVHOMEWARD BOUND WV INC — $130,000 · AnimalsHOMEWARD BOUND WV INCMOUNTAINEERS FOR MUTTS CORP — $128,000 · AnimalsMOUNTAINEERS FOR MUTTS CORPPRESTON COUNTY HUMANE SOCIETY INC — $50,000 · Animals+1 more — $10,000 · AnimalsMOUNTAINEER SPAY NEUTER ASSIST PRO — $312,500 · OtherMOUNTAINEER SPAY NEUTER ASSIST PROANIMAL FRIENDS OF NORTH — $180,000 · OtherANIMAL FRIENDS OF NORTHSTEPPING STONES INC — $132,214 · OtherSTEPPING STONES INCPRESTON COUNTY HUMANE SOCIET — $25,000 · Other+3 more — $45,000 · Other+3 more
Animals$958,000Other$694,714

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

25%50%75%100%$100k$1.0Mgrantee revenue →↑ your share of their budgetPET HELPERS INCORPORATED — $330,000 over 6y, 33% of budgetMARION COUNTY HUMANE SOCIETY — $160,000 over 6y, 9.9% of budgetANIMAL FRIENDS OF NORTH CENTRAL WV — $150,000 over 3y, 17% of budgetSTEPPING STONES INC — $132,214 over 6y, 2.2% of budgetHOMEWARD BOUND WV INC — $130,000 over 6y, 31% of budgetMOUNTAINEERS FOR MUTTS CORP — $128,000 over 6y, 26% of budgetTAYLOR COUNTY HUMANE SOCIETY — $10,000 over 1y, 11% 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 PET HELPERS INCORPORATED
  • Who funds MARION COUNTY HUMANE SOCIETY
  • Who funds ANIMAL FRIENDS OF NORTH CENTRAL WV
  • Who funds STEPPING STONES INC
  • Who funds HOMEWARD BOUND WV INC
  • Who funds MOUNTAINEERS FOR MUTTS CORP
  • Who funds PRESTON COUNTY HUMANE SOCIETY INC
  • Who funds TAYLOR COUNTY HUMANE SOCIETY

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.

Network for GoodDC7.7× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: Network for Good · 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 The Peterman Foundation Inc 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 · 00%3%10%23%40%your share of their income ↑0%1%3%4%5%share of the org’s income from government
    no gov moneyreceives it· size = income
    0get no government money at all
    4report 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, 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.

    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to The Peterman Foundation Inc?

    Find your warmest path to The Peterman Foundation Inc 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 directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 14 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

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