· Private foundation
The Martin Family 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.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2017–2024.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2024
- $10k–50k2 grants · $20k
- $50k–250k2 grants · $200k
| Recipient | Amount |
|---|---|
| Ka Lima O Maui | $150,000 |
| J Walter Cameron Center | $50,000 |
| Hawaiian Canoe Club | $10,000 |
| Lahaina Restoration Foundation | $10,000 |
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.
Your human-services grants (FY17–17, $1k) land where the poverty rate runs at 9%, against an area that typically sits at 11%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Your grants skew toward lower-need ZIPs.
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.
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.
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.
And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +259% since the first grant, against +76% for the ones you funded once.
13 repeat relationships — 4 still active in FY2024, 9 since wound down.
How the two cohorts compare
Organizations
Total granted
Median revenue growth · since first grant
Still filing today
New vs renewed · share of each year
In FY2024, 100% of grant dollars renewed an existing relationship; $0 went to new ones.
Where new relationships form · theme of each grantee’s first grant
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
- MHMAUI HEALTH FOUNDATION5× · 2017–2022 · $424k · revenue +546%
- JWJ WALTER CAMERON CENTER4× · 2018–2024 · $300k · revenue +24%
- TLTHE LAHAINA RESTORATION FOUNDATION8× · 2017–2024 · $280k · revenue +621%
Funded once
- TRThe Reorganized Olowalu Cultural Reone grant, 2021 · $200k
- IGIndividual grant recipientone grant, 2020 · $100k
- LBLONG BEACH STATE FOUNDATIONgraduatedone grant, 2017 · $100k · revenue +160%
Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.
The map has a center of gravity: the average direction from the rest of the sector toward the organizations the foundation funds — the shape of its giving. Scoring every nonprofit along that direction surfaces the ones that look most like the portfolio. These are the closest matchesthat aren’t grantees — a resemblance in what they say they do, not a recommendation.
to rehabilitate, curate, and steward the natural and cultural resources of Kawa to honor the past, benefit the present, and preserve for the future generations of Ka'u, the Island of Hawaii and all humankind.
To re-establish the systems that sustain our community through educational initiatives and land-based practices that cultivate abundance, regenerate responsibilities, and promote collective health and well being.
For reference, the grantee most central to the portfolio’s shape is Partners in Development Foundation and the most unlike its peers is Haiku School Foundation. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
For each theme you fund, this compares how the sector’s money is shifting with how your own giving is shifting.
Sector change and giving change are each shown relative to their own range, growing (right) or shrinking (left); both normalized, so inflation isn’t mistaken for growth.
Your grantees are a median of 30 years old; the field is 15. You back the established end — and your money leans older still.
The field is 24% startups (under 5 years old) — 13% of your grantees by number, and just 4% of your money.
The orgs you fund almost never close — 0.0% lost their exemption, against 13% of the field you don’t fund.
Age = years since IRS exemption (a founding proxy). “Closed” = auto-revocation for 3 years of non-filing — a floor on closure, not proof, and bigger established orgs lapse least. Association, not causation.
23 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 2017–2025, not grant rows in a single year — so this will not match the grant count on the cover. 23 of the 44 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.
Where your money sits — by cause, then by grantee
Each org by its size and your share of it — top-left is where you’re load-bearing
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.
- Who funds Ka Lima O Maui Ltd ↗
- Who funds MAUI HEALTH FOUNDATION ↗
- Who funds J WALTER CAMERON CENTER ↗
- Who funds THE LAHAINA RESTORATION FOUNDATION ↗
- Who funds PACIFIC CANCER FOUNDATION ↗
- Who funds HAWAII COMMUNITY FOUNDATION ↗
- Who funds LONG BEACH STATE FOUNDATION ↗
- Who funds ALOHA HOUSE INC ↗
- Who funds HAIKU COMMUNITY ASSOCIATION ↗
- Who funds HAIKU SCHOOL FOUNDATION ↗
- Who funds HAWAIIAN KAMALI'I INC ↗
- Who funds MAUI FOOD BANK INC ↗
- Who funds WEST MAUI TAXPAYERS ASSOCIATION INC ↗
- Who funds KIMOKEO FOUNDATION ↗
- Who funds Friends of Childrens Justice Center ↗
- Who funds CENTER FOR TOMORROW'S LEADERS ↗
- Who funds Ke Kula O Piilani ↗
- Who funds Libertas Network ↗
- Who funds WEST MAUI IMPROVEMENT FOUNDATION ↗
- Who funds HOSPICE MAUI INC ↗
The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a tightly interlocked camp — most of these funders back each other's grantees too.
Open a dossier: Bendon Family Foundation · Maui United Way · Fred Baldwin Memorial Foundation · The Roy H and Lorraine M Okumura Foundation · Jeanne and Jim Riley Foundation · Bank of Hawaii Charitable Fdn · Atherton Family Foundation · The Harry and Jeanette Weinberg Foundation Inc · The O L Moore Foundation · The Laurence H Dorcy Hawaiian Foundation · Central Pacific Bank Foundation · Nuestro Futuro Inc
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.
Government reliance of your grantees
Every dot is one organization The Martin Family Foundation 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.
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.
Warm introductions · Powered by PlinthPlus
How do I get to The Martin Family Foundation?
Find your warmest path to The Martin Family Foundation 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.