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Hospital Auxiliary at a glanceAlso receives grants: funding profile →

· Public charity

Hospital Auxiliary

To render aid, assistance & comfort to the patients of hilton head hospital and coastal carolina hospital and to their families and friends through an in-service volunteer program, and to enrich the quality of life, health and education of the citizens & residents the hilton head island, bluffton and hardeeville area.

$67k
Granted FY2025still arriving
4
Grants FY2025still arriving
—
States reached
$30k
Largest
01What it fundsRead
02Its granteesRead
03Its fieldRead
01What it funds
0190% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2024.

Education$360kOther$0
02FY2025 · 4 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k2 grants · $14k
  • $10k–50k2 grants · $53k
$22,750
Median grant
—
States reached
$216k
Total assets
Largest grants
RecipientAmount
USCB$30,453
TECHNICAL COLLEGE OF THE LOW COUNTR$22,750
UNIVERSITY OF SOUTH CAROLINA$8,250
VARIOUS$5,500
02Its 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.
$504k · 5 repeat orgs$8k to everyone else

5 repeat relationships: 4 still active in FY2025, 1 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

5
1

Total granted

$504k
$8k

Still filing today

0%
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%’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

  • U
    USCB
    7× · 2017–2025 · $179k
  • TC
    TECHNICAL COLLEGE OF THE LOW COUNTR
    7× · 2017–2025 · $136k
  • IG
    Individual grant recipient
    2× · 2019–2021 · $84k

Funded once

  • MU
    MEDICAL UNIVERSITY OF SC
    one grant, 2023 · $8k
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.

03Its field
03the grantee network

0 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. 0 of the 6 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)
0/0
Grantees still filing
0/0
Grew since first funded

Where the money sits, by cause and then by grantee

USCB: $178,553 · OtherUSCBTECHNICAL COLLEGE OF THE LOW COUNTR: $136,250 · OtherTECHNICAL COLLEGE OF THE LOW COUNTRIndividual grant recipient: $84,076 · OtherIndividual grant recipientVARIOUS: $69,000 · OtherVARIOUSUNIVERSITY OF SOUTH CAROLINA: $35,750 · OtherUNIVERSITY OF SOUTH CAROLINA+1 more: $7,500 · Other
Other$511,129

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

25%50%75%100%grantee revenue →↑ funder's share of their 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.

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 6 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 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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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