Skip to content
Perfect 33 Foundation at a glanceAlso receives grants: funding profile →

· Public charity

Perfect 33 Foundation

To raise funds to support youth athletics, education, and to support the military and their families

$375k
Granted FY2021
6
Grants FY2021
3
States reached
$200k
Largest
01What it fundsRead
02The needRead
03Its fieldRead
04Through PlinthRead
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 2021.

Health$395kPublic Benefit$300kHuman Services$55kYouth Development$38kPublic Safety & Disaster$35kRecreation & Sports$5kFood & Nutrition$5kEducation$5k
02FY2021 · 6 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2021

  • Under $10k4 grants · $20k
  • $50k–250k2 grants · $350k
$5,000
Median grant
3
States reached
$232k
Total assets
Largest grants
RecipientAmount
CHARLES H KEATING FOUNDATION$200,000
KRISTIN OSBORN LLC$150,000
ST KATHERINE DREXEL ACADEMY$5,000
KIDS STEP TO SUCCESS$5,000
KIRK GIBSON FOUNDATION FOR PARKINSONS$5,000
AUTISM TREE PROJECT FOUNATION$5,000
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:

Its human-services grants (FY19–19, $55k) land where the poverty rate runs at 11%, against an area that typically sits at 9%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 9%PENINSULA YMCA: $50k → 11%DONNIE EDWARD BEST DEFENSE FOUNDATION: $5k → 11%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

Closest unfunded matches

The nonprofits that most resemble its grantees but are not funded by it, scored along the direction from the rest of the field toward the portfolio. A resemblance in what they say they do, not a recommendation.

1
The Kim and Don Richards Family Foundation
Philanthropy
2
The Family Foundation
Philanthropy
3
San Francisco Family Foundation
—
4
Mr and Mrs Kirk Swingle Foundation
—
5
Kenny Gordon Foundation
Philanthropy
6
The Gibson Family Foundation
Philanthropy
7
Gk Legacy Foundation
Philanthropy
8
The Gould Kerr Family Foundation
Philanthropy
9
A Family Foundation
Philanthropy
10
Clark Gillies Foundation
Human Services
11
The Craig Snider Foundation
Philanthropy
12
Channel Islands Young Men's Christian Association

The channel islands ymca is a charitable organization providing programs based upon christian principles to people of all ages, races, religious beliefs and economic status, to promote youth development, healthy living and social…

Human Services
How this is measured
The grantee most central to the portfolio’s shape is Charles Humphrey Keating Iv Foundation; the most unlike its peers is The Git-R-Done Foundation. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
04the grantee network

11 grantees tracked through their own filings, 2017–2025.

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

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 11 of the 15 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.

1
Load-bearing (≥25% of a budget)
4
Early backer (in before they grew)
10/11
Grantees still filing
9/11
Grew since first funded

Where the money sits, by cause and then by grantee

KAIZEN BRAIN CENTER: $225,000 · OtherKAIZEN BRAIN CENTERKRISTIN OSBORN LLC: $150,000 · OtherKRISTIN OSBORN LLCVICTORY CONFERENCE CENTER: $25,000 · OtherVICTORY CONFERENCE CENTER+2 more: $10,000 · OtherCHARLES HUMPHREY KEATING IV FOUNDATION: $300,000 · Public BenefitCHARLES HUMPHREY KEATING IV FOUNDATIONYMCA OF SAN DIEGO COUNTY: $50,000 · Human ServicesDONNIE EDWARDS BEST DEFENSE FOUNDATION: $5,000 · Human ServicesMARIANO RIVERA PUBLIC FOUNDATION: $35,000 · InternationalTHE KIRK H AND JOANN P GIBSON FAMILY FOUNDATION FOR PARKINSON'S RESEARCH: $10,000 · HealthRonald McDonald House Global: $5,000 · HealthAUTISM TREE PROJECT INC: $5,000 · HealthTHE GIT-R-DONE FOUNDATION: $7,500 · PhilanthropyGREAT LAKES BURN CAMP INC: $5,000 · Recreation & SportsCATHOLIC COMMUNITY FOUNDATION OF SAN DIEGO: $5,000 · Religion
Other$410,000Public Benefit$300,000Human Services$55,000International$35,000Health$20,000Philanthropy$7,500Recreation & Sports$5,000Religion$5,000

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

25%50%75%100%$100k$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetCHARLES HUMPHREY KEATING IV FOUNDATION: $300,000 over 2y, 8.3% of budgetYMCA OF SAN DIEGO COUNTY: $50,000 over 1y, 0.0% of budgetMARIANO RIVERA PUBLIC FOUNDATION: $35,000 over 1y, 9.4% of budgetTHE KIRK H AND JOANN P GIBSON FAMILY FOUNDATION FOR PARKINSON'S RESEARCH: $10,000 over 2y, 1.6% of budgetTHE GIT-R-DONE FOUNDATION: $7,500 over 1y, 1.7% of budgetGREAT LAKES BURN CAMP INC: $5,000 over 1y, 1.0% of budgetRonald McDonald House Global: $5,000 over 1y, 0.0% of budgetCATHOLIC COMMUNITY FOUNDATION OF SAN DIEGO: $5,000 over 1y, 0.1% of budgetKIDS STEPS TO SUCCESS INC: $5,000 over 1y, 70% of budgetAUTISM TREE PROJECT INC: $5,000 over 1y, 1.2% of budgetDONNIE EDWARDS BEST DEFENSE FOUNDATION: $5,000 over 1y, 0.8% of 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.

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a tightly interlocked group: most of these funders back each other's grantees too.

American Online Givin…Donor Advised Charita…Fidelity Investments …Amazonsmile Foundation
American Online Giving Foundation IncDE5.1× affinity4 shared granteesties to 3 of 3Hover any node to trace its alignments.Compare side by side →

Open a dossier: American Online Giving Foundation Inc · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · Amazonsmile Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization Perfect 33 Foundation funds: left to right is the share of its income from government, bottom to top the share from Perfect 33 Foundation. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 10%5%19%42%75%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
    1get no government money at all
    3report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    typical government reliance, FY20–24
    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 Perfect 33 Foundation?

    Find your warmest path to Perfect 33 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 15 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 e-file return for fiscal year 2021, released 2021. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

    Play a game based on Perfect 33’s filings →

    More from the funding graph

    The unnamed billions
    grants reported with no recipient in the public record
    The regranting layer
    51% of grant dollars land in the regranting layer
    The DAF merry-go-round
    $9.7B circulates between donor-advised funds
    The endowment market
    who holds foundation money, and what just moved
    The camps
    funders cluster by geography, not ideology
    By state
    where grant money is based, and what stays home