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· Private foundation

How Can We Change That Foundation

Its FY2020 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$3k
Granted FY2020
10
Grants FY2020
1
States reached
$1k
Largest
01What it funds
01FY2020 · 10 grants

Where the money goes

Grants by size, and the largest recipients.

$100
Median grant
1
States reached
$0
Total assets
Largest grants
RecipientAmount
BISHOP ENGLAND HIGH SCHOOL$1,000
CHARLESTON CATHOLIC SCHOOL$1,000
CHARLESTON CATHOLIC SCHOOL$1,000
CHARLESTON AREA URBAN LEAGUE$100
ALZHEIMER'S ASSOCIATION$100
CHILDREN'S MUSEUM OF THE LOWCOUNTRY$75
PAY IT FORWARD-CHARLESTON$53
MAKE-A-WISH$50
ONE WORLD HEALTH$50
BIG BROTHERS BIG SISTERS OF THE LOWCOUNTRY$50
02The need
02

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 (FY20–20, $153) land where the poverty rate runs at 12%, 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%CHARLESTON AREA URBAN LEAGUE: $100 → 12%PAY IT FORWARD-CHARLESTON: $53 → 12%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 field
03the 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 9 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)
2
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

CHARLESTON CATHOLIC SCHOOL: $2,000 · OtherCHARLESTON CATHOLIC SCHOOLBISHOP ENGLAND HIGH SCHOOL: $1,000 · OtherBISHOP ENGLAND HIGH SCHOOL+1 more: $100 · OtherTRIDENT URBAN LEAGUE: $100 · Human ServicesPay it Forward Charleston: $53 · Human ServicesChildren's Museum of the Lowcountry: $75 · Arts & CultureBig Brothers Big Sisters of the Lowcountry: $50 · Youth DevelopmentOneWorld Health: $50 · InternationalMAKE-A-WISH FOUNDATION OF SC INC: $50 · Health
Other$3,100Human Services$153Arts & Culture$75Youth Development$50International$50Health$50

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 budgetTRIDENT URBAN LEAGUE: $100 over 1y, 0.0% of budgetChildren's Museum of the Lowcountry: $75 over 1y, 0.0% of budgetPay it Forward Charleston: $53 over 1y, 0.0% of budgetBig Brothers Big Sisters of the Lowcountry: $50 over 1y, 0.0% of budgetOneWorld Health: $50 over 1y, 0.0% of budgetMAKE-A-WISH FOUNDATION OF SC INC: $50 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.

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.

Coastal Community Foundation of South Carolina IncSC19.8× affinity7 shared granteesties to 9 of 9Hover any node to trace its alignments.Compare side by side →

Open a dossier: Coastal Community Foundation of South Carolina Inc · Publix Super Markets Charities Inc · Baird Foundation Inc · The Blackbaud Giving Fund · The Bank of America Charitable Foundation Inc · National Philanthropic Trust · American Online Giving Foundation Inc · Fidelity Investments Charitable Gift Fund · Donor Advised Charitable Giving Inc · 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 How Can We Change That Foundation funds: left to right is the share of its income from government, bottom to top the share from How Can We Change That Foundation. Bigger dots raise more.

2023
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%23%45%68%90%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    3report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–90%
    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 9 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 2020, released 2020. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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