Skip to content

· Private foundation

Ken Hubbs 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.

$9k
Granted FY2024still arriving
52
Grants FY2024still arriving
1
States reached
$170
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, FY2019 to 2024.

Youth Development$40kRecreation & Sports$21kReligion$564
02FY2024 · 52 grants

Where the money goes

Grants by size, and the largest recipients.

$170
Median grant
1
States reached
$153k
Total assets
Largest grants
RecipientAmount
JORDAN GILLIGAN CO BIG BEAR HIGH SCHOOL$170
NEVAEH POSADAS CO AQUINAS HIGH SCHOOL$170
CAMILA BUCIO CO JURUPA HILLS HIGH SCHOOL$170
AMY GAONA CO KAISER HIGH SCHOOL$170
ADRIAN KEO CO EISENHOWER HIGH SCHOOL$170
ANTONIO CAMARAO CO KAISER HIGH SCHOOOL$170
KARLA TRIGUERO CO ARROYO VALLEY HIGH SCHOOL$170
MIA SOTO CO CARTER HIGH SCHOOL$170
JORDAN BARBA CO GRAND TERRACE HIGH SCHOOL$170
CONNOR MCALEER CO PACIFIC HIGH SCHOOL$170
JEANNA LOTZ CO ARROWHEAD CHRISTIAN HIGH SCHOOL$170
GENEVE ASHTON CO BLOOMINGTON HIGH SCHOOL$170
SU'RIAH WILLIAMS CO REDLANDS HIGH SCHOOL$170
CHRISTOPHER ACERO CO COLTON HIGH SCHOOL$170
MICHAEL CULLEN CO REDLANDS HIGH SCHOOL$170
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.

show:

Dollar for dollar, its grants (FY19–24) land where the poverty rate runs at 13%, against an area that typically sits at 13%. 98% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 13%PERRY AMADOR II: $565 → 14%JEREMY WAYMIRE: $565 → 14%KENDALL BOLOCK: $565 → 14%DANIELLE LILLEY: $565 → 14%OMAR YEHYA: $565 → 14%AUTUMN BENNETT: $565 → 14%JAYDEN DANIELS: $565 → 14%ALONDRAA SMITH: $565 → 14%ASHLEY ALVARADO: $565 → 14%ADAM MARTINEZ: $565 → 14%ROBERT YOUNGBLOOD: $565 → 14%MORGAN DIAZ: $565 → 14%PRESTON BONADIMAN: $564 → 14%NAYA ALKOURI: $564 → 14%EMELY OBREGON: $565 → 14%ANDRE GUYDON: $565 → 14%CAHLIK DOUGLAS: $564 → 14%APRIL REGALADO: $564 → 14%AIDALINA CASTRO: $565 → 14%AUSTIN SPARKS: $565 → 14%JAZMINE MATA: $564 → 14%JUSTIN ANGEL GONZALES: $564 → 14%ALYCIA FLORES: $565 → 14%ANTHONY ODENBAUGH: $565 → 14%JILLIAN FIGUEROA: $565 → 14%ROBERT CARDENAS GUILLEN: $564 → 14%DEVONTA BRIDGES: $565 → 14%ANGELA MELECIO: $564 → 14%JESSIKAH YBARRA: $565 → 14%JORGE RUVALCABA: $565 → 14%LUIS HERNANDEZ: $565 → 14%OLIVIA BALDWIN: $565 → 14%MARIANA SANCHEZ: $565 → 14%TAYLOR DEBENEDICTUS: $565 → 14%DANIEL JETT: $564 → 14%SOFIA DOMINGUEZ-GALLEGOS: $565 → 14%KAIA HOAK: $564 → 14%TRAYVON DAVIS: $565 → 14%BELLA ROCCO: $565 → 14%MANUEL RODRIGUEZ: $565 → 14%TAYLOR JACKSON: $565 → 14%ALYSSA DODSON: $565 → 14%SATAOA LAUMEA: $565 → 14%CHRISTIAN HUNTER: $565 → 14%DANIEL PENALOZA: $565 → 14%MADELINE GONZALES: $565 → 14%TYSON HEATON: $565 → 14%SYDNEE HUFF: $565 → 14%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.
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.
03Its field
04the grantee network

1 grantees tracked through their own filings, 2019–2024.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2019 to 2024, not grant rows in a single year, so this will not match the grant count on the cover. 1 of the 306 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.

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

Where the money sits, by cause and then by grantee

+199 more: $54,302 · Other+199 moreIglesia de Cristo Casa de Paz Ministerios Kairos: $564 · Religion
Other$54,302Religion$564

Showing the 200 largest grantees by grant value.

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

25%50%75%100%grantee revenue →↑ funder's share of their 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.

How much its grantees rely on government

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

2024
’21’22’23’24
no gov · 00%0%1%3%5%funder's share of their income ↑0%1%3%4%5%share of the org’s 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 · 0–5%
    typical government reliance, FY21–24
    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.
    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Ken Hubbs Foundation?

    Find your warmest path to Ken Hubbs 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.

    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 306 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

    Play a game based on Ken Hubbs’ filings →

    More from the funding graph