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· Private foundation

Harold & Sara Wetherbee Foundation Regions Bank Trust Department

Its FY2025 filing reports that it accepted unsolicited grant applications.

$82k
Granted FY2025still arriving
19
Grants FY2025still arriving
4
States reached
$13k
Largest
01What you fund
01

What you funded, over time

By grantee IRS cause code (NTEE).

A cause breakdown isn’t shown here: 100% of HAROLD & SARA WETHERBEE FOUNDATION REGIONS BANK TRUST DEPARTMENT’s grantee dollars fall outside its nine largest cause areas, whether because the recipient carries no IRS cause code or because its cause sits in the long tail. A chart would be mostly one residual band and misrepresent the portfolio.

02FY2025 · 19 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2025

  • Under $10k18 grants · $69k
  • $10k–50k1 grant · $13k
$3,700
Median grant
4
States reached
$1.1M
Total assets
Largest grants
RecipientAmount
GEORGIA STATE UNIVERSITY AND MADELIN VASQUEZ$13,000
KENNESAW STATE UNIVERSITY AND COURTNEY LOVE$4,700
GEORGIA INSTITUTE OF TECHNOLOGY AND CHIMDINMA J OHAMADIKE$4,200
GEORGIA SOUTHERN UNIVERSITY AND JA'NASIA BRADLEY$4,200
THE UNIVERSITY OF GEORGIA AND KAYLIE WILLIS$4,200
BERRY COLLEGE AND MAGGIE COX$4,200
THE UNIVERSITY OF GEORGIA AND MAGGIE IRVIN$4,200
LEE UNIVERSITY AND EMMA VANDENBERGH$4,200
TUSKEGEE UNIVERSITY AND AVENN SMITH$3,700
GEORGIA SOUTHERN UNIVERSITY AND SANIAH COLEMAN$3,700
FLORIDA A&M UNIVERSITY AND ASHANTI MORRIS$3,700
PIEDMONT UNIVERSITY AND ADDYSON WILLIS$3,700
KENNESAW STATE UNIVERSITY AND ALAYNA LAWTON$3,700
MOREHOUSE COLLEGE AND TABARRI MATHIS$3,700
KENNESAW STATE UNIVERSITY AND RYAN HICKS$3,500
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 (FY18–25) land where the poverty rate runs at 19%, against an area that typically sits at 17%. 57% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 17%COASTAL ALABAMA COMMUNITY COLLEGE AND GRACE SMITH: $3k → 12%TUSKEGEE UNIVERSITY AND LAILA HUNTER: $9k → 32%LEE UNIVERSITY AND EMMA VANDENBERGH: $4k → 13%KENNESAW STATE UNIVERSITY AND COURTNEY LOVE: $5k → 8%MOREHOUSE COLLEGE AND TABARRI MATHIS: $4k → 13%PIEDMONT UNIVERSITY AND ADDYSON WILLIS: $4k → 14%BERRY COLLEGE AND MAGGIE COX: $8k → 15%AUGUSTA UNIVERSITY AND JULIA SOLOMON: $4k → 18%GEORGIA SOUTHERN UNIVERSITY AND JA'NASIA BRADLEY: $4k → 24%GEORGIA COLLEGE & STATE UNIVERSITY AND CARLY JOHNSTON: $5k → 24%THE UNIVERSITY OF GEORGIA AND KAYLIE WILLIS: $5k → 27%ALBANY STATE UNIVERSITY AND MYKALA ECKLER: $7k → 28%FLORIDA A&M UNIVERSITY AND ASHANTI MORRIS: $4k → 19%TUSKEGEE UNIVERSITY AND AVENN SMITH: $4k → 32%KENNESAW STATE UNIVERSITY AND ALAYNA LAWTON: $4k → 8%CLARK ATLANTA UNIVERSITY AND KHALIL JACKSON: $3k → 13%BERRY COLLEGE AND MAGGIE COX: $4k → 15%AUGUSTA UNIVERSITY AND JULIA SOLOMON: $3k → 18%GEORGIA SOUTHERN UNIVERSITY AND SANIAH COLEMAN: $4k → 24%GEORGIA COLLEGE & STATE UNIVERSITY AND CARLY JOHNSTON: $4k → 24%THE UNIVERSITY OF GEORGIA AND DEANNA CUNNINGHAM: $5k → 27%ALBANY STATE UNIVERSITY AND JAMAREE BARFIELD: $3k → 28%KENNESAW STATE UNIVERSITY AND RYAN HICKS: $4k → 8%BERRY COLLEGE AND CANDACE SHIRLEY: $4k → 15%THE UNIVERSITY OF GEORGIA AND MAGGIE IRVIN: $4k → 27%ALBANY STATE UNIVERSITY AND DIAMOND CHILDS: $3k → 28%BERRY COLLEGE AND MAGGIE COX: $3k → 15%THE UNIVERSITY OF GEORGIA AND KAYLIE WILLIS: $4k → 27%THE UNIVERSITY OF GEORGIA AND KAMIL BAGAIN: $4k → 27%THE UNIVERSITY OF GEORGIA AND MORGAN ETHRIDGE: $4k → 27%THE UNIVERSITY OF GEORGIA AND KAYLIE WILLIS: $4k → 27%GEORGIA STATE UNIVERSITY AND MADELIN VASQUEZ: $13k → 13%THE UNIVERSITY OF GEORGIA AND KAYLIE WILLIS: $4k → 27%GEORGIA STATE UNIVERSITY AND MADELIN VASQUEZ: $8k → 13%THE UNIVERSITY OF GEORGIA AND RYAN HICKS: $3k → 27%GEORGIA STATE UNIVERSITY AND JAYLEN DOWELL: $5k → 13%THE UNIVERSITY OF GEORGIA AND DEANNA CUNNINGHAM: $3k → 27%THE UNIVERSITY OF GEORGIA AND WILL VAN BRACKLE: $3k → 27%THE UNIVERSITY OF GEORGIA AND WILL VAN BRACKLE: $3k → 27%THE UNIVERSITY OF GEORGIA AND EMILY BEALE: $3k → 27%THE UNIVERSITY OF GEORGIA AND DEANNA CUNNINGHAM: $3k → 27%GEORGIA INSTITUTE OF TECHNOLOGY AND CHIMDINMA J OHAMADIKE: $5k → 13%GEORGIA INSTITUTE OF TECHNOLOGY AND SOPHIA LIN: $5k → 13%GEORGIA INSTITUTE OF TECHNOLOGY AND CHIMDINMA J OHAMADIKE: $4k → 13%GEORGIA INSTITUTE OF TECHNOLOGY AND SOPHIA LIN: $3k → 13%GEORGIA INSTITUTE OF TECHNOLOGY AND CARTERION: $3k → 13%GEORGIA INSTITUTE OF TECHNOLOGY AND SOPHIA LIN: $3k → 13%GEORGIA INSTITUTE OF TECHNOLOGY AND SOPHIA LIN: $3k → 13%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.

Which US states your grants reach

NE
TN
NC
SC
LA
AL
GA
FL

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.

61%of every dollar goes to organizations you’ve funded before.
$305k · 46 repeat orgs$195k to everyone else

46 repeat relationships — 6 still active in FY2025, 40 since wound down; 13 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

46
65

Total granted

$305k
$146k

Still filing today

0%
0%

New vs renewed · share of each year

In FY2025, 40% of grant dollars renewed an existing relationship; $49k went to new ones.

50%100%’17’18’19’20’21’22’23’24’25
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

  • GS
    GEORGIA STATE UNIVERSITY AND MADELIN VASQUEZ
    2× · 2024–2025 · $21k
  • TU
    THE UNIVERSITY OF GEORGIA AND KAYLIE WILLIS
    4× · 2022–2025 · $16k
  • BC
    BERRY COLLEGE AND MAGGIE COX
    3× · 2023–2025 · $15k

Funded once

  • TU
    TUSKEGEE UNIVERSITY AND LAILA HUNTER
    one grant, 2024 · $9k
  • AS
    ALBANY STATE UNIVERSITY AND MYKALA ECKLER
    one grant, 2024 · $7k
  • GS
    GEORGIA STATE UNIVERSITY AND JAYLEN DOWELL
    one grant, 2018 · $5k

Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.

04Your field
04the grantee network

0 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. 0 of the 124 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.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
0/0
Grantees still filing
0/0
Grew since you first funded

Where your money sits — by cause, then by grantee

GEORGIA STATE UNIVERSITY AND MADELIN VASQUEZ — $21,000 · Other+123 more — $479,085 · Other+123 more
Other$500,085

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

25%50%75%100%grantee revenue →↑ your share of their 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.

Government reliance of your grantees

Every dot is one organization Harold & Sara Wetherbee Foundation Regions Bank Trust Department 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
2021222324
no gov · 00%0%1%3%5%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
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    typical government reliance, FY2024

    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 Harold & Sara Wetherbee Foundation Regions Bank Trust Department?

    Find your warmest path to Harold & Sara Wetherbee Foundation Regions Bank Trust Department 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 124 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

    More from the funding graph