· Private foundation
Larry H Miller and Gail Miller 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
- Under $10k59 grants · $312k
- $10k–50k163 grants · $3.1M
- $50k–250k76 grants · $6.4M
- $250k+26 grants · $23M
| Recipient | Amount |
|---|---|
| Salt Lake County Foundation | $10,035,000 |
| University of Utah | $1,976,974 |
| Ukraine House DC Foundation Inc | $1,000,000 |
| Ogden-Weber Technical College Foundation | $1,000,000 |
| Friends Of Switchpoint Inc | $1,000,000 |
| Utah Historical Society | $1,000,000 |
| Neuroworx | $1,000,000 |
| Utah Summer Games Foundation | $625,000 |
| Brigham Young University | $600,000 |
| Utah's Promise | $500,000 |
| St George Musical Theater | $500,000 |
| Utah Symphony Utah Opera | $400,000 |
| Thanksgiving Point Institute | $325,000 |
| Huntsman Mental Health Foundation | $325,000 |
| Utah Sports Commission Foundation | $300,000 |
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 (FY21–24, $3.2M) land where the poverty rate runs at 9%, against an area that typically sits at 10%. 42% of those dollars go to grantees based in above-average-need neighborhoods. Your grants spread fairly evenly across need levels.
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.
Which US states your grants reach
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 +17% since the first grant, against +0% for the ones you funded once.
99 repeat relationships — 90 still active in FY2024, 9 since wound down; 229 grantees were first funded in FY2024 (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 FY2024, 62% of grant dollars renewed an existing relationship; $13M 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
- SLSalt Lake Community College Foundation3× · 2022–2024 · $7.9M · revenue +80%
- WSWATERFORD SCHOOL HOLDING CORPORATION4× · 2020–2024 · $5.1M · revenue +50%
- HMHUNTSMAN MENTAL HEALTH FOUNDATION2× · 2022–2024 · $3.8M · revenue +165% · 67% of their budget
Funded once
- SLSALT LAKE COUNTY PARKS AND RECone grant, 2021 · $4.0M
- ECENSIGN COLLEGEone grant, 2021 · $3.0M
- MFMAKE-A-WISH FOUNDATION OF UTAH INCgraduatedone grant, 2022 · $1.0M · revenue +60% · 26% of their budget
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.
Provide support to the University of Utah Growth Capital Partners Foundation in Charitable, Educational and Scientific purposes.
To serve as a catalyst for quality job growth and increased capital investment in the state.
To ensure utah families have the freedom and access to choose the best fit for their childs education.
Stimulate local business establishment, growth, and development by facilitating business to business and business to community relationships throughout Utah County.
For reference, the grantee most central to the portfolio’s shape is Make-a-Wish Foundation of Utah Inc and the most unlike its peers is Hollow Tree Honey Foundation. 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 22 years old; the field is 11. You back the established end — and your money leans older still.
The field is 30% startups (under 5 years old) — 8% of your grantees by number, and just 4% of your money.
The orgs you fund almost never close — 0.6% lost their exemption, against 16% 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.
301 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. 301 of the 420 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
Showing your 200 largest grantees by grant value.
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 SALT LAKE COUNTY FOUNDATION ↗
- Who funds INTERMOUNTAIN HEALTHCARE FOUNDATION INC ↗
- Who funds Salt Lake Community College Foundation ↗
- Who funds WATERFORD SCHOOL HOLDING CORPORATION ↗
- Who funds HUNTSMAN MENTAL HEALTH FOUNDATION ↗
- Who funds HALE CENTRE THEATRE ↗
- Who funds SHELTER THE HOMELESS INC ↗
- Who funds THE DR DALE B HULL FOUNDATION FOR NEUROLOGICAL REHABILITATION INC ↗
- Who funds THE POLICY PROJECT ↗
- Who funds EBA FOUNDATION ABIGAIL BLACK ELBAUM TRUSTEE ↗
- Who funds VOLUNTEERS OF AMERICA UTAH ↗
- Who funds UTAH FOOD BANK ↗
- Who funds ANASAZI FOUNDATION ↗
- Who funds The Community Foundation of Utah ↗
- Who funds The Other Side Academy ↗
- Who funds FRIENDS OF THE COALITION FKA FOOD & CARE COALITION OF UTAH VALLEY ↗
- Who funds MAKE-A-WISH FOUNDATION OF UTAH INC ↗
- Who funds FRIENDS OF SWITCHPOINT INC ↗
- Who funds UKRAINE HOUSE DC FOUNDATION INC ↗
- Who funds OGDEN - WEBER TECHNICAL COLLEGE FOUNDATION ↗
- Who funds Sutherland Institute ↗
- Who funds UTAH SYMPHONY & OPERA ↗
- Who funds SAFE HARBOR CRISIS CENTER ↗
- Who funds THE CHILDREN'S CENTER UTAH ↗
- Who funds UTAH'S PROMISE ↗
- Who funds MADISON HOUSE AUTISM FOUNDATION INC ↗
- Who funds GARY & JEANETTE HERBERT FOUNDATION ↗
- Who funds ST GEORGE MUSICAL THEATER ↗
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: Sorenson Legacy Foundation · George S and Dolores Dore Eccles Foundation · The Community Foundation of Utah · Ihc Health Services Inc · McCarthey Family Foundation · Lawrence & Janet Dee Foundation · Pacificorp Foundation Aka Pacific Power Foundation Aka Rocky Mountain Power Foundati · The Miner Foundation · Intermountain Community Care Foundation Inc · David Kelby Johnson Memorial Foundation · Marriner S Eccles Foundation · Kennecott Utah Copper Visitors Center Charitable 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 Larry H Miller and Gail Miller 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.
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Find your warmest path to Larry H Miller and Gail Miller 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.