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· Private foundation

Shannon Isabel Tuw FBO Charities

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.

$113k
Granted FY2025still arriving
9
Grants FY2025still arriving
5
States reached
$25k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2018 to 2025.

Animals$650kPublic Safety & Disaster$100kCrime & Legal$75kHealth$50kHuman Services$50kReligion$50k
02FY2025 · 9 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k3 grants · $19k
  • $10k–50k6 grants · $94k
$12,500
Median grant
5
States reached
$2.3M
Total assets
Largest grants
RecipientAmount
ASSOCIATED HUMANE SOCIETIES$25,000
NATIONAL WILDLIFE FEDERATION$18,750
HILLSDALE VOLUNTEER AMBULANCE SVC$12,500
HUMANE SOCIETY OF BERGEN COUNTY$12,500
NORTH FORK ANIMAL WELFARE LEAGUE$12,500
HUMANE WORLD FOR ANIMALS$12,500
SALVATION ARMY NATIONAL HEADQUAR$6,250
HOLY TRINITY EPISCOPAL CHURCH$6,250
AMERICAN CANCER SOCIETY INC$6,250
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 (FY18–25) land where the poverty rate runs at 10%, against an area that typically sits at 7%. 85% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 7%NORTH FORK ANIMAL WELFARE LEAGUE: $13k → 7%HUMANE SOCIETY OF US NJ BRANCH: $13k → 14%HUMANE SOCIETY OF BERGEN COUNTY: $13k → 7%ASSOCIATED HUMANE SOCIETIES: $25k → 16%NATIONAL WILDLIFE FEDERATION: $19k → 6%NORTH FORK ANIMAL WELFARE LEAGUE: $13k → 7%HUMANE WORLD FOR ANIMALS: $13k → 14%HUMANE SOCIETY OF BERGEN COUNTY: $13k → 7%ASSOCIATED HUMANE SOCIETIES: $25k → 16%NATIONAL WILDLIFE FEDERATION: $19k → 6%NORTH FORK ANIMAL WELFARE LEAGUE: $13k → 7%HUMANE SOCIETY OF US NJ BRANCH: $13k → 14%HUMANE SOCIETY OF BERGEN COUNTY: $13k → 7%ASSOCIATED HUMANE SOCIETIES: $25k → 16%NATIONAL WILDLIFE FEDERATION: $19k → 6%NORTH FORK ANIMAL WELFARE LEAGUE: $13k → 7%HUMANE SOCIETY OF THE UNITED STATES: $13k → 14%HUMANE SOCIETY OF BERGEN COUNTY: $13k → 7%ASSOCIATED HUMANE SOCIETIES: $25k → 16%NATIONAL WILDLIFE FEDERATION: $19k → 6%NORTH FORK ANIMAL WELFARE LEAGUE: $13k → 7%HUMANE SOCIETY OF THE UNITED STATES: $13k → 14%HUMANE SOCIETY OF BERGEN COUNTY: $13k → 7%ASSOCIATED HUMANE SOCIETIES: $25k → 16%NATIONAL WILDLIFE FEDERATION: $19k → 6%NORTH FORK ANIMAL WELFARE LEAGUE: $13k → 7%HUMANE SOCIETY OF US NJ BRANCH: $13k → 14%HUMANE SOCIETY OF BERGEN COUNTY: $13k → 7%ASSOCIATED HUMANE SOCIETIES: $25k → 16%NATIONAL WILDLIFE FEDERATION: $19k → 6%NORTH FORK ANIMAL WELFARE LEAGUE: $13k → 7%HUMANE SOCIETY OF US NJ BRANCH: $13k → 14%HUMANE SOCIETY OF BERGEN COUNTY: $13k → 7%ASSOCIATED HUMANE SOCIETIES: $25k → 16%NATIONAL WILDLIFE FEDERATION: $19k → 6%NORTH FORK ANIMAL WELFARE LEAGUE: $13k → 7%HUMANE SOCIETY OF THE UNITED STATES: $13k → 14%HUMANE SOCIETY OF BERGEN COUNTY: $13k → 7%ASSOCIATED HUMANE SOCIETIES: $25k → 16%NATIONAL WILDLIFE FEDERATION: $19k → 6%HILLSDALE VOLUNTEER AMBULANCE SVC: $13k → 7%POLICEMANS BENEVOLENT NO 207: $13k → 7%POLICEMANS BENEVOLENT #207: $13k → 7%POLICEMANS BENEVOLENT #207: $13k → 7%HILLSDALE VOLUNTEER AMBULANCE SVC: $13k → 7%HILLSDALE VOLUNTEER AMBULANCE SVC: $13k → 7%HILLSDALE VOLUNTEER AMBULANCE SVC: $13k → 7%HILLSDALE VOLUNTEER AMBULANCE SVC: $13k → 7%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.

99%of every dollar goes to organizations it has funded before.
$963k · 13 repeat orgs$13k to everyone else

13 repeat relationships: 9 still active in FY2025, 4 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

13
2

Total granted

$963k
$13k

Still filing today

46%
0%

New vs renewed · share of each year

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

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

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

’18’19’20’21’22’23’24’25
AnimalsHealthOther
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

  • AH
    ASSOCIATED HUMANE SOCIETIES INC
    8× · 2018–2025 · $200k · revenue +89%
  • NW
    NATIONAL WILDLIFE FEDERATION
    8× · 2018–2025 · $150k · revenue +87%
  • NF
    NORTH FORK ANIMAL WELFARE LEAGUE
    8× · 2018–2025 · $100k · revenue +28%

Funded once

  • SA
    SALVATION ARMY NATIONAL CORP
    one grant, 2024 · $6k
  • SA
    SALVATION ARMY NATIONAL HEADQUARTERS
    one grant, 2023 · $6k
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
04the grantee network

6 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. 6 of the 15 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)
0
Early backer (in before they grew)
6/6
Grantees still filing
4/6
Grew since first funded

Where the money sits, by cause and then by grantee

ASSOCIATED HUMANE SOCIETIES INC: $200,000 · AnimalsASSOCIATED HUMANE SOCIETIES INCNATIONAL WILDLIFE FEDERATION: $150,000 · AnimalsNATIONAL WILDLIFE FEDERATIONHUMANE SOCIETY OF BERGEN COUNTY LOST PET INC: $100,000 · AnimalsHUMANE SOCIETY OF BERGEN COUNTY LOST PET INCNORTH FORK ANIMAL WELFARE LEAGUE: $100,000 · AnimalsNORTH FORK ANIMAL WELFARE LEAGUEHumane World for Animals Inc: $50,000 · AnimalsHumane World for Animals IncHILLSDALE VOLUNTEER AMBULANCE SVC: $100,000 · OtherHILLSDALE VOLUNTEER AMBULANCE SVCHOLY TRINITY EPISCOPAL CHURCH: $50,000 · OtherHOLY TRINITY EPISCOPAL CHURCHPOLICEMANS BENEVOLENT NO 207: $50,000 · OtherPOLICEMANS BENEVOLENT NO 207HUMANE SOCIETY OF US NJ BRANCH: $50,000 · OtherHUMANE SOCIETY OF US NJ BRANCHSALVATION ARMY NATIONAL HEADQUAR: $37,500 · OtherSALVATION ARMY NATIONAL HEADQUARPOLICEMANS BENEVOLENT #207: $25,000 · OtherPOLICEMANS BENEVOLENT #207AMERICAN CANCER SOCIETY: $18,750 · OtherAMERICAN CANCER SOCIETY+2 more: $12,500 · OtherAMERICAN CANCER SOCIETY INC: $31,250 · Health
Animals$600,000Other$343,750Health$31,250

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 budgetASSOCIATED HUMANE SOCIETIES INC: $200,000 over 8y, 0.3% of budgetNATIONAL WILDLIFE FEDERATION: $150,000 over 8y, 0.0% of budgetHUMANE SOCIETY OF BERGEN COUNTY LOST PET INC: $100,000 over 8y, 14% of budgetNORTH FORK ANIMAL WELFARE LEAGUE: $100,000 over 8y, 1.5% of budgetHumane World for Animals Inc: $50,000 over 4y, 0.0% of budgetAMERICAN CANCER SOCIETY INC: $31,250 over 5y, 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 ASSOCIATED HUMANE SOCIETIES INC ↗
  • Who funds NATIONAL WILDLIFE FEDERATION ↗
  • Who funds HUMANE SOCIETY OF BERGEN COUNTY LOST PET INC ↗
  • Who funds NORTH FORK ANIMAL WELFARE LEAGUE ↗
  • Who funds Humane World for Animals Inc ↗
  • Who funds AMERICAN CANCER SOCIETY INC ↗

How much its grantees rely on government

Each dot is one organization Shannon Isabel Tuw FBO Charities funds: left to right is the share of its income from government, bottom to top the share from Shannon Isabel Tuw FBO Charities. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 20%1%4%8%15%funder's share of their income ↑0%3%5%8%10%share of the org’s income from government →
    no gov moneyreceives it· size = income
    2get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–10%
    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 15 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

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