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· Private foundation

Ralph and Christine Clermont Charitable 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
9
Grants FY2024still arriving
5
States reached
$3k
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, FY2020 to 2024.

Religion$26kHealth$10kCommunity Improvement$5kHuman Services$3kEducation$2k
02FY2024 · 9 grants

Where the money goes

Grants by size, and the largest recipients.

$800
Median grant
5
States reached
$0
Total assets
Largest grants
RecipientAmount
OUR LADY OF PEACE CATHOLIC CHURCH$3,075
ST CLEMENT'S CATHOLIC CHURCH$2,250
OUR LADY'S INN$1,000
CATHOLIC EDUCATION FOUNDATION$1,000
EQUESTRIAN ORDER OF THE HOLY SEPULCHRE$800
ST PAUL'S LUTHERAN CHURCH$500
Individual grant recipient$500
ANNUAL CATHOLIC APPEAL$250
MOTHER OF GOOD COUNSEL$100
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 (FY20–24, $3k) land where the poverty rate runs at 21%, against an area that typically sits at 8%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%OUR LADY'S INN: $1k → 21%OUR LADY'S INN: $500 → 21%OUR LADY'S INN: $500 → 21%OUR LADY'S INN: $500 → 21%OUR LADY'S INN: $100 → 21%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 grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

83%of every dollar goes to organizations it has funded before.
$38k · 7 repeat orgs$8k to everyone else

7 repeat relationships: 5 still active in FY2024, 2 since wound down; 4 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

7
4

Total granted

$38k
$6k

Median revenue growth · since first grant

+41%
+75%

Still filing today

14%
50%

New vs renewed · share of each year

In FY2024, 80% of grant dollars renewed an existing relationship; $2k went to new ones.

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

Where new relationships form · theme of each grantee’s first grant

’20’21’22’23’24
Human ServicesPublic Safety & DisasterEducationHealthOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). 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

  • SC
    ST CLEMENT'S CATHOLIC CHURCH
    5× · 2020–2024 · $13k
  • SC
    SSM CARDINAL GLENNON FUND
    2× · 2021–2022 · $10k
  • OL
    OUR LADY OF PEACE CATHOLIC CHURCH
    5× · 2020–2024 · $8k

Funded once

  • KU
    KPMG US FOUNDATION INCgraduated
    one grant, 2022 · $5k · revenue +37%
  • LA
    LOYOLA ACADEMY OF ST LOUISgraduated
    one grant, 2022 · $1k · revenue +75%
  • CP
    CISTERCIAN PREP SCHOOL
    one grant, 2020 · $100
How this is measured

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

04Its field
04the grantee network

4 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. 4 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.

0
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
4/4
Grantees still filing
3/4
Grew since first funded

Where the money sits, by cause and then by grantee

ST CLEMENT'S CATHOLIC CHURCH: $12,675 · OtherST CLEMENT'S CATHOLIC CHURCHSSM CARDINAL GLENNON FUND: $10,200 · OtherSSM CARDINAL GLENNON FUNDOUR LADY OF PEACE CATHOLIC CHURCH: $7,625 · OtherOUR LADY OF PEACE CATHOLIC CHURCHIndividual grant recipient: $2,000 · OtherEQUESTRIAN ORDER OF THE HOLY SEPULCHRE: $1,800 · OtherST PAUL'S LUTHERAN CHURCH: $1,500 · Other+5 more: $1,900 · OtherKPMG US FOUNDATION INC: $5,000 · Public Safety & DisasterKPMG US FOUN…OUR LADYS INN: $2,600 · Human ServicesLOYOLA ACADEMY OF ST LOUIS: $1,000 · EducationMOTHER OF GOOD COUNSEL HOME: $100 · Health
Other$37,700Public Safety & Disaster$5,000Human Services$2,600Education$1,000Health$100

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

25%50%75%100%$10Mgrantee revenue →↑ funder's share of their budgetKPMG US FOUNDATION INC: $5,000 over 1y, 0.0% of budgetOUR LADYS INN: $2,600 over 5y, 0.0% of budgetLOYOLA ACADEMY OF ST LOUIS: $1,000 over 1y, 0.0% of budgetMOTHER OF GOOD COUNSEL HOME: $100 over 1y, 0.0% 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.

  • Who funds KPMG US FOUNDATION INC ↗
  • Who funds OUR LADYS INN ↗
  • Who funds LOYOLA ACADEMY OF ST LOUIS ↗
  • Who funds MOTHER OF GOOD COUNSEL HOME ↗

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.

St Louis Community Foundation IncMO15.5× affinity5 shared granteesties to 6 of 6Hover any node to trace its alignments.Compare side by side →

Open a dossier: St Louis Community Foundation Inc · Roman Catholic Foundation of Eastern Missouri · American Endowment Foundation · Vanguard Charitable Endowment Program · 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 Ralph and Christine Clermont Charitable Foundation funds: left to right is the share of its income from government, bottom to top the share from Ralph and Christine Clermont Charitable Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 10%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
    1get no government money at all
    2report 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, FY20–25
    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.

    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-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

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