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· Private foundation

Ocean Mokum Foundation

Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$255k
Granted FY2024still arriving
3
Grants FY2024still arriving
2
States reached
$200k
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, FY2022 to 2024.

Science & Tech$4.0MAnimals$899kEnvironment$748kArts & Culture$15k
02FY2024 · 3 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • $10k–50k2 grants · $55k
  • $50k–250k1 grant · $200k
$40,000
Median grant
2
States reached
$2.5M
Total assets
Largest grants
RecipientAmount
INNOCEANA$200,000
BIMINI BIOLOGICAL FIELD STATION FOUNDATION AKA SHARK LAB$40,000
ACT OF CONNECTICUT$15,000
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.

US giving: 78% of grant dollars ($4.4M). The need read here covers only this US portion; the 22% that went abroad ($1.2M) is mapped below.

None of its grants could be placed against low income need for this view.

Beyond the US: 22% of all-years giving ($1.2M)

2 countries, by the recipient’s country on the filing.

grant dollars sentlessmore
Costa Rica$748k · 2 grants
Bahamas$470k · 1 grant
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. International giving is mapped by the recipient’s country from the same 990 filings; comparable need data isn’t available at that grain.
03Its field
04the grantee network

2 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. 2 of the 4 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.

1
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
2/2
Grantees still filing
2/2
Grew since first funded

Where the money sits, by cause and then by grantee

OCEAN EXPLORATION TRUST INC: $4,000,000 · EnvironmentOCEAN EXPLORATION TRUST INCBIMINI BIOLOGICAL FIELD STATION FOUNDATION AKA SHARK LAB: $898,500 · OtherBIMINI BIOLOGICAL FIELD STATION …INNOCEANA: $747,700 · OtherINNOCEANAACT OF CONNECTICUT: $15,000 · Arts & Culture
Environment$4,000,000Other$1,646,200Arts & Culture$15,000

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

25%50%75%100%$10Mgrantee revenue →↑ funder's share of their budgetOCEAN EXPLORATION TRUST INC: $4,000,000 over 1y, 27% of budgetACT OF CONNECTICUT: $15,000 over 1y, 0.5% 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.

  • Who funds OCEAN EXPLORATION TRUST INC ↗
  • Who funds ACT OF CONNECTICUT ↗

How much its grantees rely on government

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

2024
’20’21’22’23’24’25
no gov · 00%2%8%17%30%funder's share of their income ↑0%6%13%19%25%share of the org’s income from government →median 5%
  • Ocean Exploration Trust Inc: 5% of income from government
  • Act of Connecticut: 1% of 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 · 0–25%
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 4 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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