· Public charity
Hawaii Government Employees Association Afscme Local 152 Afl-Cio
Preserve and advance employee rights and benefits through collective bargaining, legislative advocacy and political action.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2017–2021.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2021
- Under $10k1 grant · $6k
- $10k–50k2 grants · $22k
| Recipient | Amount |
|---|---|
| UNIVERSITY OF HAWAII FOUNDATION | $12,250 |
| NAVY LEAGUE OF THE US HONOLULU COUNCIL | $10,000 |
| CHARLES R KENDALL SCHOLARSHIP AND EDUCATION FUND | $6,000 |
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 (FY17–20, $33k) land where the poverty rate runs at 9%, against an area that typically sits at 8%. 100% of those 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 5% of Hawaii Government Employees Association Afscme Local 152 Afl-Cio’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, 94% of the giving stays in HI; read by stated purpose it is 91% — 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.
4 repeat relationships — 2 still active in FY2021, 2 since wound down; 1 grantees were first funded in FY2021 (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 FY2021, 65% of grant dollars renewed an existing relationship; $10k 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
- UOUNIVERSITY OF HAWAII FOUNDATION7× · 2017–2023 · $72k · revenue +56%
- CRCHARLES R KENDALL SCHOLARSHIP & EDUCATION FUND5× · 2017–2021 · $36k · revenue +11%
- HEHAWAII EMPLOYEES LIFELINE PROGRAM3× · 2017–2020 · $18k · revenue +24%
Funded once
- DLDST LLCone grant, 2019 · $12k
- AFAFSCME FALLEN HEROES FUNDone grant, 2018 · $10k · revenue -42%
- SCSHIDLER COLLEGE OF BUSINESS ALUMNI ASSOCIATIONgraduatedone grant, 2017 · $5k · revenue +39%
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.
The hawaii culinary education foundation's mission is to provide hawaiis culinary students and professional access to the best knowledge and exposure to cutting-edge techniques through a variety of programs and educational opportunities…
Scholarships and awards are granted to the hualalai community employees, their spouses, and their children. medical awards cover expenses incurred beyond medical insurance, and educational scholarships are for preschool through college,…
Hawaii Farmers Union Foundation believes in sustainable agriculture and local food systems that promote a healthy environment and strong communities. Its mission is to build a supportive regenerative agricultural system where farmers can…
Hawai`i people`s fund supports, funds, and amplifies the work of hawai`i- based grassroots organizations challenging systems of oppression.
For reference, the grantee most central to the portfolio’s shape is Lanakila Pacific and the most unlike its peers is Maui Huliau Foundation. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
9 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.
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 UNIVERSITY OF HAWAII FOUNDATION ↗
- Who funds CHARLES R KENDALL SCHOLARSHIP & EDUCATION FUND ↗
- Who funds HAWAII EMPLOYEES LIFELINE PROGRAM ↗
- Who funds LANAKILA PACIFIC ↗
- Who funds NAVY LEAGUE OF THE US-HONOLULU COUNCIL ↗
- Who funds AFSCME FALLEN HEROES FUND ↗
- Who funds SHIDLER COLLEGE OF BUSINESS ALUMNI ASSOCIATION ↗
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: Tradewind Group Foundation · Amazonsmile 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 Hawaii Government Employees Association Afscme Local 152 Afl-Cio 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.