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· Public charity

Captains for Clean Water Inc

To advance education, awareness, and scientifically supported solutions to restore and protect marine ecosystems and our way of life for future generations.

$11k
Granted FY2025still arriving
1
Grants FY2025still arriving
1
States reached
$10k
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, FY2017 to 2025.

Environment$48kEducation$44kPublic Safety & Disaster$31kRecreation & Sports$15k
02FY2025 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 1 grants below total $10,000, the rows itemized in this filing. The $11,000 headline is the total grant expense on the return; the other $1,000 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.
$10,000
Median grant
1
States reached
$2.9M
Total assets
Largest grants
RecipientAmount
THEODORE ROOSEVELT CONSERVATION PARTNERSHIP$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 (FY21–21, $13k) 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%FISH FOR CHANGE: $13k → 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

Closest unfunded matches

The nonprofits that most resemble its grantees but are not funded by it, scored along the direction from the rest of the field toward the portfolio. A resemblance in what they say they do, not a recommendation.

1
The Coral Reef and Marine Science Foundation Inc C/O James Bildner
—
2
Clean Reefs
Environment
3
Coral Conservancy
—
4
Sociedad Ambiente Marino

Environmental and water protection and education

Education
5
Gulf Fishery Research Foundation
Environment
6
Symbioseas

Marine research

Science & Tech
7
For the Fishes

To address, educate, coordinate, and enhance enforcement capacity to end teh trade in coral reef wildlife for household and other small display aquariums. our supply and demand side strategies are directed locally and globally to…

Animals
8
Sea Change Foundation
Human Services
9
Reef Ball Foundation Inc

To rehabilitate our world's oceanreef ecosystems and to protect our natural reef systems using reef ball artificial reef technologies. reef balls are artificial reef modules placed in the ocean to form reef habitats.

Animals
10
Reef Environmental Education Foundation

Reef environmental education foundation (reef) was established as a nonprofit organization in 1990. reef conserves marine environments worldwide. our mission is to protect biodiversity and ocean life by actively engaging and inspiring the…

Recreation & Sports
11
Ocean First Institute

The mission of Ocean First Institute is ocean conservation through research and education. We work to deepen the natural connection between people and the ocean. We educate and empower people to understand the ocean is our life support…

Education
12
Angler Action Foundation Inc

Improve the future of gamefish stocks in Florida

Animals
How this is measured
The grantee most central to the portfolio’s shape is Theodore Roosevelt Conservation Partnership Inc; the most unlike its peers is Ocean Habitats Inc. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
04the grantee network

8 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)
6/8
Grantees still filing
4/8
Grew since first funded

Where the money sits, by cause and then by grantee

FLORIDA GULF COAST UNIVERSITY FOUNDATION INC: $58,681 · EducationFLORIDA GULF COAST UNIVERSITY FOUNDATION INCSANIBEL CAPTIVA ISLANDS CHAMBER OF COMMERCE INC: $25,000 · Community ImprovementSANIBEL CAPTIVA ISLA…THEODORE ROOSEVELT CONSERVATION PARTNERSHIP INC: $15,000 · AnimalsTHEODORE ROO…Fish For Change: $13,000 · Human ServicesFish For C…EVERGLADES LAW CENTER INC: $10,000 · EnvironmentSANIBEL SEA SCHOOL INC: $5,000 · OtherOCEAN HABITATS INC: $5,000 · OtherHERMAN LUCERNE MEMORIAL FOUNDATION INC: $6,100 · Recreation & Sports
Education$58,681Community Improvement$25,000Animals$15,000Human Services$13,000Environment$10,000Other$10,000Recreation & Sports$6,100

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

25%50%75%100%$1.0M$10Mgrantee revenue →↑ funder's share of their budgetFLORIDA GULF COAST UNIVERSITY FOUNDATION INC: $58,681 over 5y, 0.2% of budgetSANIBEL CAPTIVA ISLANDS CHAMBER OF COMMERCE INC: $25,000 over 1y, 5.2% of budgetTHEODORE ROOSEVELT CONSERVATION PARTNERSHIP INC: $15,000 over 2y, 0.1% of budgetFish For Change: $13,000 over 1y, 6.3% of budgetEVERGLADES LAW CENTER INC: $10,000 over 1y, 3.5% of budgetHERMAN LUCERNE MEMORIAL FOUNDATION INC: $6,100 over 1y, 3.6% of budgetSANIBEL SEA SCHOOL INC: $5,000 over 1y, 0.3% 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 set of overlaps that mostly run through this funder rather than between each other.

Amazonsmile FoundationWA2.4× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: 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 Captains for Clean Water Inc funds: left to right is the share of its income from government, bottom to top the share from Captains for Clean Water Inc. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 30%1%3%6%10%funder's share of their income ↑0%1%3%4%5%share of the org’s income from government →
    no gov moneyreceives it· size = income
    3get no government money at all
    1report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    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 Captains for Clean Water Inc?

    Find your warmest path to Captains for Clean Water 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 8 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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