· Private foundation
Dolores F Martin Foundation
Its FY2025 filing reports that it accepted unsolicited grant applications.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2019–2025.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2025
- Under $10k3 grants · $11k
- $10k–50k4 grants · $53k
- $50k–250k1 grant · $75k
| Recipient | Amount |
|---|---|
| Punahou School | $74,500 |
| Portuguese Genealogical Society | $22,500 |
| DTL Foundation | $10,000 |
| Kuilei Cliffs | $10,000 |
| Shriners Hospitals for Children Honolulu | $10,000 |
| Maui Film & Research Inc | $5,000 |
| The Reserved Joel Hulu Mahoe Resource Center | $5,000 |
| Hawaiian Music Perpetuation Society | $1,000 |
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.
Dollar for dollar, your grants (FY19–25) land where the poverty rate runs at 9%, against an area that typically sits at 8%. 100% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-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.
Where the work is directed
The same grants, placed two ways — where each recipient sits, and where its stated purpose earmarks the money.
About 6% of Dolores F Martin Foundation’s grant dollars are earmarked, by their stated purpose, for a different county than the recipient’s own address — money that lands at a nonprofit in one place but is meant to do its work in another. Read by recipient address, 99% of the giving stays in HI; read by stated purpose it is 84% — less of the work is directed home than the recipients' locations suggest.
Recipient view: each grant at its grantee’s ZIP, mapped to a county. Directed view: each grant at the county its stated purpose names, falling back to the recipient’s county when the purpose names no place; US grants only. A county shows only if it carries the top 95% of that view’s dollars. Purposes are read from the foundation’s own 990 grant descriptions.
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 +46% since the first grant, against +9% for the ones you funded once.
22 repeat relationships — 5 still active in FY2025, 17 since wound down; 3 grantees were first funded in FY2025 (too recent to call).
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 FY2025, 88% of grant dollars renewed an existing relationship; $16k 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
- PSPUNAHOU SCHOOL7× · 2019–2025 · $532k · revenue +33%
- UOUNIVERSITY OF HAWAII FOUNDATION4× · 2019–2022 · $85k · revenue +164%
- BMBISHOP MUSEUM4× · 2019–2023 · $68k · revenue +94%
Funded once
- HMHONOLULU MUSEUM OF ARTone grant, 2019 · $20k · revenue -29%
- MGMOANALUA GARDENS FOUNDATION INCgraduatedone grant, 2020 · $10k · revenue +102%
- DHDIAMOND HEAD THEATREone grant, 2019 · $10k · revenue -34%
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.
In 1972, kumu hula george lanakilakekiahiali`i na`ope and kahu wendell silva created our organization to preserve hawaiian culture through dance. from that idea they formed the kalihi-palama culture & arts society, inc. (kpcas) to provide…
For reference, the grantee most central to the portfolio’s shape is Hawaiian Historical Society and the most unlike its peers is Lunalilo Home. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
Your grantees are a median of 49 years old; the field is 16. You back the established end — and your money leans older still.
The field is 23% startups (under 5 years old) — 9% 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.
30 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. 30 of the 46 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 PUNAHOU SCHOOL ↗
- Who funds UNIVERSITY OF HAWAII FOUNDATION ↗
- Who funds HUI HANAI ↗
- Who funds BISHOP MUSEUM ↗
- Who funds SHRINERS HOSPITALS FOR CHILDREN ↗
- Who funds LUNALILO HOME ↗
- Who funds AWAIAULU INC ↗
- Who funds WASHINGTON PLACE FOUNDATION ↗
- Who funds HONOLULU MUSEUM OF ART ↗
- Who funds THE LAHAINA RESTORATION FOUNDATION ↗
- Who funds DAUGHTERS OF HAWAII ↗
- Who funds MOANALUA GARDENS FOUNDATION INC ↗
- Who funds DIAMOND HEAD THEATRE ↗
- Who funds FRIENDS OF SHRINERS HOSPITALS - HONOLULU INC ↗
- Who funds HISTORIC HAWAI'I FOUNDATION ↗
- Who funds THE CENTER FOR INDEPENDENT DOCUMENTARY INC ↗
- Who funds ST ANDREW'S SCHOOLS ↗
- Who funds HAWAII COMMUNITY FOUNDATION ↗
- Who funds HULA PRESERVATION SOCIETY ↗
- Who funds HAWAII PUBLIC RADIO ↗
- Who funds NATIVE HAWAIIAN LEGAL CORPORATION ↗
- Who funds LOKAHI PACIFIC ↗
- Who funds HAWAII ACADEMY OF RECORDING ARTS ↗
- Who funds KAUAI HISTORICAL SOCIETY ↗
- Who funds THE NATIONAL MUSEUM OF WOMEN IN THE ARTS ↗
- Who funds HAWAIIAN HISTORICAL SOCIETY ↗
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: Christina Hassell & Watters O Martin Jr Family Foundation · Atherton Family Foundation · Hawaii Council for Humanities · The Strong Foundation · Council for Native Hawaiian Advancement · J Watumull Fund · Trustees of the Estate of Bernice Pauahi Bishop Dba Kamehameha Schools · Abigail K K Kawananakoa Foundation · The Queen's Medical Center · Bank of Hawaii Charitable Fdn · Zadoc W & Lawrence N Brown Foundation · Castiglione A Casauria Foundation
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 Dolores F Martin 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.
- The Center for Independent Documentary Inc — 6% of income from government
- Shriners Hospitals for Children — 0% of income from government
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 Dolores F Martin Foundation?
Find your warmest path to Dolores F Martin 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.