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Hopewill Foundation Inc at a glanceAlso receives grants: funding profile →

· Public charity

Hopewill Foundation Inc

To raise funds for nephcure kidney international non-profit organization to fund research related to the cause of the debilitating kidney disease focal segmental glomerulosclerosis (fsgs).

$510k
Granted FY2024still arriving
4
Grants FY2024still arriving
2
States reached
$460k
Largest
01What it fundsRead
02The needRead
03Its fieldRead
04Through PlinthRead
01What it funds
01100% classified

What it funded, over time

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

Health$2.7MPublic Safety & Disaster$50kYouth Development$13kHousing & Shelter$10k
02FY2024 · 4 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • $10k–50k3 grants · $50k
  • $250k+1 grant · $460k
$30,000
Median grant
2
States reached
$765k
Total assets
Largest grants
RecipientAmount
NEPHCURE KIDNEY INTERNATIONAL$460,000
METROPOLITAN MINISTRIES$30,000
FEEDING AMERICA TAMPA BAY INC$10,000
RONALD MCDONALD HOUSE CHARITIES OF TAMPA BAY INC$10,000
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:

Its human-services grants (FY24–24, $30k) land where the poverty rate runs at 13%, against an area that typically sits at 9%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 9%METROPOLITAN MINISTRIES: $30k → 13%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
04the grantee network

7 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.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
7/7
Grantees still filing
5/7
Grew since first funded

Where the money sits, by cause and then by grantee

NEPHCURE KIDNEY INTERNATIONAL: $2,710,000 · PhilanthropyNEPHCURE KIDNEY INTERNATIONALMETROPOLITAN MINISTRIES INC: $30,000 · Human ServicesBig Brothers Big Sisters of Tampa Bay Inc: $12,500 · OtherSTARTING RIGHT NOW: $10,000 · OtherTAMPA GENERAL HOSPITAL FOUNDATION INC: $10,000 · HealthRONALD MCDONALD HOUSE CHARITIES OF TAMPA BAY INC: $10,000 · HealthFEEDING AMERICA TAMPA BAY INC: $10,000 · Food & Nutrition
Philanthropy$2,710,000Human Services$30,000Other$22,500Health$20,000Food & Nutrition$10,000

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

25%50%75%100%$10M$100Mgrantee revenue →↑ funder's share of their budgetNEPHCURE KIDNEY INTERNATIONAL: $2,710,000 over 8y, 12% of budgetMETROPOLITAN MINISTRIES INC: $30,000 over 1y, 0.1% of budgetBig Brothers Big Sisters of Tampa Bay Inc: $12,500 over 1y, 0.2% of budgetTAMPA GENERAL HOSPITAL FOUNDATION INC: $10,000 over 1y, 0.2% of budgetSTARTING RIGHT NOW: $10,000 over 1y, 0.3% of budgetRONALD MCDONALD HOUSE CHARITIES OF TAMPA BAY INC: $10,000 over 1y, 0.1% of budgetFEEDING AMERICA TAMPA BAY INC: $10,000 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.

How much its grantees rely on government

Each dot is one organization Hopewill Foundation Inc funds: left to right is the share of its income from government, bottom to top the share from Hopewill Foundation Inc. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 30%1%4%8%15%funder's share of their income ↑0%1%3%4%5%share of the org’s income from government →median 2%
  • Big Brothers Big Sisters of Tampa Bay Inc: 3% of income from government
  • Feeding America Tampa Bay Inc: 2% of income from government
  • Metropolitan Ministries Inc: 0% of income from government
no gov moneyreceives it· size = income
3get no government money at all
0rely on government for over half their income
⤢ axis zoomed · 0–5%
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.
04Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Hopewill Foundation Inc?

Find your warmest path to Hopewill 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 from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 7 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

Play a game based on Hopewill’s filings →

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