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· Private foundation

St Mary's 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.

$140k
Granted FY2024still arriving
18
Grants FY2024still arriving
2
States reached
$26k
Largest
01What you fund
01100% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20172024.

Health$806kInternational$326kEducation$252kHousing & Shelter$189kFood & Nutrition$118kReligion$53kHuman Services$22kPublic Safety & Disaster$17k
02FY2024 · 18 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2024

  • Under $10k14 grants · $73k
  • $10k–50k4 grants · $68k
$5,000
Median grant
2
States reached
$896k
Total assets
Largest grants
RecipientAmount
CASA HOGAR DEL ANCIANO DE ENSENADA AC$25,700
Individual grant recipient$22,000
SISTERS OF ST JOSEPH OF CLUNY$10,000
SISTERS OF ST JOSEPH OF CLUNY$10,000
FUNDACION MARIA AC$7,500
MAIKONA CATHOLIC MISSION DIOCESE OF MARSABIT KENYA$7,000
ST PETER & PAUL ELEMENTARY SCHOOL$6,000
ST MARY MEDICAL CENTER - LOW VISION CENTER$5,000
FUNDATIAN SAINT MARY$5,000
ST MARGARET MARY ALACOQUE CHURCH$5,000
MARY STAR OF THE SEA ELEMENTARY SCHOOL$5,000
ST MARY'S ACADEMY$5,000
ST PETER & PAUL POVERTY PROGRAM$5,000
MASINYUSANE INC TOP LEARNER PROGRAM$5,000
SISTERS OF ST JOSEPH OF CLUNY$5,000
02The need
03

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 US giving — 28% of grant dollars ($496k). The need read here covers only this US portion; the 72% that went abroad ($1.3M) is mapped below.

show:

Dollar for dollar, your grants (FY17–24) land where the poverty rate runs at 14%, against an area that typically sits at 12%. 94% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 12%MASINYUSANE INC TOP LEARNER PROGRAM: $10k → 16%ST MARY'S ACADEMY: $6k → 14%LA PURISIMA CONCEPCION CHURCH: $5k → 14%SISTERS OF ST JOSEPH OF CLUNY: $10k → 7%MASINYUSANE INC TOP LEARNER PROGRAM: $5k → 16%ST MARY'S ACADEMY: $6k → 14%SISTERS OF ST JOSEPH OF CLUNY: $10k → 7%MASINYUSANE INC TOP LEARNER PROGRAM: $5k → 16%ST MARY'S ACADEMY: $6k → 14%SISTERS OF ST JOSEPH OF CLUNY: $5k → 7%MASINYUSANE INC TOP LEARNER PROGRAM: $5k → 16%ST MARY'S ACADEMY: $6k → 14%SISTERS OF ST JOSEPH OF CLUNY: $5k → 7%MASINYUSANE INC TOP LEARNER PROGRAM: $5k → 16%ST MARY'S ACADEMY: $6k → 14%ST MARY'S ACADEMY: $5k → 14%ST MARY'S ACADEMY: $5k → 14%HOLY NAME OF JESUS SCHOOL: $5k → 14%HOLY NAME OF JESUS SCHOOL: $5k → 14%ST JUSTIN EDUCATION FUND FOR LA DBA ASCENDING LIGHTS LEADERSHIP NETWORK: $6k → 14%HOLY NAME OF JESUS SCHOOL: $5k → 14%ASCENDING LIGHTS LEADERSHIP NETWORK: $6k → 14%HOLY NAME OF JESUS SCHOOL: $5k → 14%ASCENDING LIGHTS LEADERSHIP NETWORK: $6k → 14%HOLY NAME OF JESUS SCHOOL: $5k → 14%ASCENDING LIGHTS LEADERSHIP NETWORK: $6k → 14%HOLY NAME OF JESUS SCHOOL: $5k → 14%ST JUSTIN EDUCATION FUND FOR LA DBA ASCENDING LIGHTS LEADERSHIP NETWORK: $6k → 14%ASCENDING LIGHTS LEADERSHIP NETWORK: $6k → 14%QUEEN OF ANGELS CENTER - PRIESTLY FORMATION: $6k → 14%JUAN DIEGO HOUSE OF FORMATION: $6k → 14%QUEEN OF ANGELS CENTER - PRIESTLY FORMATION: $6k → 14%QUEEN OF ANGELS CENTER - PRIESTLY FORMATION: $6k → 14%QUEEN OF ANGELS CENTER - PRIESTLY FORMATION: $6k → 14%MOTHER OF SORROWS CATHOLIC CHURCH: $5k → 14%SISTERS OF ST JOSEPH OF CLUNY: $15k → 14%MARY STAR OF THE SEA ELEMENTARY SCHOOL: $5k → 14%MARY STAR OF THE SEA ELEMENTARY SCHOOL: $5k → 14%MARY STAR OF THE SEA ELEMENTARY SCHOOL: $5k → 14%ST PETER & PAUL ELEMENTARY SCHOOL: $10k → 14%ST PETER & PAUL POVERTY PROGRAM: $8k → 14%ST PETER & PAUL ELEMENTARY SCHOOL: $6k → 14%ST PETER & PAUL ELEMENTARY SCHOOL: $6k → 14%ST PETER & PAUL POVERTY PROGRAM: $6k → 14%SISTERS OF ST JOSEPH OF CLUNY: $10k → 14%QUEEN OF ANGELS CENTER - PRIESTLY FORMATION: $6k → 14%QUEEN OF ANGELS CENTER - PRIESTLY FORMATION: $6k → 14%ST MARGARET MARY CHURCH FOOD PROGRAM: $13k → 14%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

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.

Beyond the US — 72% of all-years giving ($1.3M)

7 countries, by the recipient’s country on the filing.

grant dollars sentlessmore
Mexico$767k · 32 grants
Kenya$295k · 16 grants
Romania$199k · 8 grants
Ethiopia$10k · 2 grants
India$5k · 1 grant
Chad$5k · 1 grant
France$5k · 1 grant

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. International giving is mapped by the recipient’s country from the same 990 filings; comparable need data isn’t available at that grain.

04

Where the work is directed

The same grants, placed two ways — where each recipient sits, and where its stated purpose earmarks the money.

About 9% of St Mary's 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.

St Mary's Foundationlessmore of its giving
Placed by recipient address · 55% directed abroad (not shown)

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.

03Your edge
repeat funding

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.

90%of every dollar goes to organizations you’ve funded before.
$1.6M · 24 repeat orgs$173k to everyone else

24 repeat relationships — 16 still active in FY2024, 8 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

24
8

Total granted

$1.6M
$173k

Still filing today

8%
0%

New vs renewed · share of each year

In FY2024, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’17’18’19’20’21’22’23’24
RenewedFirst-time

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

  • FM
    FUNDACION MARIA AC
    8× · 2017–2024 · $330k
  • SO
    SISTERS OF ST JOSEPH OF CLUNY
    8× · 2017–2024 · $267k
  • IG
    Individual grant recipient
    8× · 2017–2024 · $228k

Funded once

  • IG
    Individual grant recipient
    one grant, 2018 · $140k
  • AO
    ASOCIATIA OPERELE PONTIFICALE MISIONARE
    one grant, 2023 · $10k
  • JD
    JUAN DIEGO HOUSE OF FORMATION
    one grant, 2017 · $6k

Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.

04Your field
05the grantee network

2 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 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 2 of the 32 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.

0
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
2/2
Grantees still filing
1/2
Grew since you first funded

Where your money sits — by cause, then by grantee

FUNDACION MARIA AC — $329,761 · OtherFUNDACION MARIA ACSISTERS OF ST JOSEPH OF CLUNY — $267,000 · OtherSISTERS OF ST JOSEPH OF CLUNYIndividual grant recipient — $227,945 · OtherIndividual grant recipientCASA HOGAR DEL ANCIANO DE ENSENADA AC — $144,140 · OtherCASA HOGAR DEL ANCIANO DE ENSENADA ACIndividual grant recipient — $140,000 · OtherIndividual grant recipientMAIKONA CATHOLIC MISSION DIOCESE OF MARSABIT KENYA — $93,400 · OtherASILO SAN VICENTE DE ATOTONILCO EL ALTO AC — $65,135 · Other+25 more — $515,363 · Other+25 more
Other$1,782,744

Each org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%$1.0Mgrantee revenue →↑ your share of their budgetAssistance League of San Pedro-South Bay — $7,000 over 2y, 0.5% of budgetNEW LIFE BEGINNINGS INC — $5,000 over 2y, 0.7% of budget
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 Assistance League of San Pedro-South Bay
  • Who funds NEW LIFE BEGINNINGS INC

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 set of overlaps that mostly run through you, not between each other.

Amazonsmile FoundationWA3.2× affinity5 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: 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 St Mary's 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.

2024
202122232425
no gov · 00%0%1%3%5%your 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, FY2025

    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.

    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to St Mary's Foundation?

    Find your warmest path to St Mary's 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 directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 32 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your 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. How we build these →

    Generated from your IRS Form 990-PF e-file return for fiscal year 2024, released 2024. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Source object · view filing

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