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· Private foundation

Our Lady of the Lake Foundation Inc

Its FY2021 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$841k
Granted FY2021
15
Grants FY2021
4
States reached
$725k
Largest

Read this first · the figures below need context

87% of Our Lady of the Lake Foundation Inc’s FY2021 grant dollars went to Archdiocese Of Milwaukee Catholic Community Foundation Inc, not to grantees.

Its money now reaches organizations through that sponsor, which does not report who recommended each grant. FY2021 names 6 organizations directly, so a portfolio cannot be read from it.

Organizations named directly on the return

4
20
6
21

Amber years are those where most dollars went to a sponsor.

01What you fund
0193% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20202021.

Philanthropy$737kEducation$130kInternational$20kReligion$9kRecreation & Sports$4kHealth$300Arts & Culture$175Other$0
02FY2021 · 15 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2021

  • Under $10k9 grants · $13k
  • $10k–50k4 grants · $43k
  • $50k–250k1 grant · $60k
  • $250k+1 grant · $725k
$2,000
Median grant
4
States reached
$0
Total assets
Largest grants
RecipientAmount
CATHOLIC COMMUNITY FOUNDATION$725,000
ST FRANCIS BORGIA SCHOOL$60,000
ST FRANCIS BORGIA SCHOOL$13,000
ANDEAN HEALTH AND DEVELOPMENT$10,000
MESSMER CATHOLIC SCHOOLS$10,000
HOPE FOR HAITI$10,000
SEATON CATHOLIC SCHOOLS$5,000
UNIVERSITY OF NOTRE DAME$2,000
DIOCESE OF VENICE IN FLORIDA$2,000
DOMINICAN HIGH SCHOOL$1,279
Individual grant recipient$1,000
NATIONAL SHRINE OF OUR LADY OF GOOD$1,000
MAKE A WISH FOUNDATION$300
DIVINE SAVIOR HIGH SCHOOL$200
MILWAUKEE PBS$75
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.

show:

Dollar for dollar, your grants (FY20–21) land where the poverty rate runs at 16%, against an area that typically sits at 11%. 90% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 11%Order of Malta: $2k → 17%Diocese of Venice: $2k → 9%HOPE FOR HAITI: $10k → 10%ST FRANCIS BORGIA SCHOOL: $60k → 6%NATIONAL SHRINE OF OUR LADY OF GOOD: $1k → 10%Messmer Catholic Schools: $20k → 17%UNIVERSITY OF NOTRE DAME: $2k → 13%MAKE A WISH FOUNDATION: $300 → 14%Missionary Oblates: $72 → 16%DIOCESE OF VENICE IN FLORIDA: $2k → 9%ST FRANCIS BORGIA SCHOOL: $13k → 6%MESSMER CATHOLIC SCHOOLS: $10k → 17%University of Notre Dame: $2k → 13%St Francis Borgia: $6k → 6%CATHOLIC COMMUNITY FOUNDATION: $725k → 17%SEATON CATHOLIC SCHOOLS: $5k → 17%Archdiocese of Milwaukee: $1k → 17%CATHOLIC STEWARD APPEAL: $1k → 17%DOMINICAN HIGH SCHOOL: $1k → 17%Dominican High School: $1k → 17%Marquette University: $20k → 17%Milwaukee PBS: $100 → 17%MILWAUKEE PBS: $75 → 17%Divine Savior Holy Angles: $1k → 17%DIVINE SAVIOR HIGH SCHOOL: $200 → 17%United Way of Greater Milwaukee: $12k → 17%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.

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.

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.

18%of every dollar goes to organizations you’ve funded before.
$32k · 3 repeat orgs$146k to everyone else

3 repeat relationships — 3 still active in FY2021, 0 since wound down; 9 grantees were first funded in FY2021 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

3
8

Total granted

$32k
$44k

Still filing today

0%
25%

New vs renewed · share of each year

In FY2021, 10% of grant dollars renewed an existing relationship; $103k went to new ones.

50%100%’20’21
RenewedFirst-time

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

’20’21
InternationalEducationPhilanthropyOther

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

  • MI
    MESSMER INC
    2× · 2020–2021 · $30k
  • DH
    DOMINICAN HIGH SCHOOL
    2× · 2020–2021 · $2k
  • MP
    Milwaukee PBS
    2× · 2020–2021 · $175

Funded once

  • MU
    Marquette University
    one grant, 2020 · $20k · revenue +24%
  • UW
    UNITED WAY OF GREATER MILWAUKEE & WAUKESHA COUNTY INC
    one grant, 2020 · $12k · revenue -14%
  • IG
    Individual grant recipient
    one grant, 2020 · $6k

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

04Your field
04the grantee network

7 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. 7 of the 22 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)
0
Early backer (in before they grew)
7/7
Grantees still filing
5/7
Grew since you first funded

Where your money sits — by cause, then by grantee

ARCHDIOCESE OF MILWAUKEE CATHOLIC COMMUNITY FOUNDATION INC — $725,000 · PhilanthropyARCHDIOCESE OF MILWAUKEE CATHOLIC COMMUNITY FOUNDATION INC+1 more — $12,000 · PhilanthropyST FRANCIS BORGIA SCHOOL — $73,000 · OtherST FRANCIS BORG…MESSMER INC — $30,000 · OtherMESSMER INCIndividual grant recipient — $6,000 · OtherSEATON CATHOLIC SCHOOLS INC — $5,000 · Other+12 more — $12,776 · Other+12 moreMarquette University — $20,000 · EducationUniversity of Notre Dame du Lac — $4,000 · EducationANDEAN HEALTH AND DEVELOPMENT INC — $10,000 · InternationalHOPE FOR HAITI INC — $10,000 · International
Philanthropy$737,000Other$126,776Education$24,000International$20,000

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

25%50%75%100%$10M$100Mgrantee revenue →↑ your share of their budgetARCHDIOCESE OF MILWAUKEE CATHOLIC COMMUNITY FOUNDATION INC — $725,000 over 1y, 13% of budgetMarquette University — $20,000 over 1y, 0.0% of budgetUNITED WAY OF GREATER MILWAUKEE & WAUKESHA COUNTY INC — $12,000 over 1y, 0.0% of budgetANDEAN HEALTH AND DEVELOPMENT INC — $10,000 over 1y, 0.5% of budgetHOPE FOR HAITI INC — $10,000 over 1y, 0.0% of budgetUniversity of Notre Dame du Lac — $4,000 over 2y, 0.0% of budgetMAKE-A-WISH FOUNDATION OF ILLINOIS INC — $300 over 1y, 0.0% 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 ARCHDIOCESE OF MILWAUKEE CATHOLIC COMMUNITY FOUNDATION INC
  • Who funds Marquette University
  • Who funds UNITED WAY OF GREATER MILWAUKEE & WAUKESHA COUNTY INC
  • Who funds ANDEAN HEALTH AND DEVELOPMENT INC
  • Who funds HOPE FOR HAITI INC
  • Who funds University of Notre Dame du Lac
  • Who funds MAKE-A-WISH FOUNDATION OF ILLINOIS 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 tightly interlocked camp — most of these funders back each other's grantees too.

Archdiocese of Milwaukee Catholic Community Foundation IncWI13.6× affinity4 shared granteesties to 10 of 10Hover any node to trace its alignments.Compare side by side →

Open a dossier: Archdiocese of Milwaukee Catholic Community Foundation Inc · Evan & Marion Helfaer Foundation · United Way of Greater Milwaukee & Waukesha County Inc · Greater Milwaukee Foundation Inc · The Ayco Charitable Foundation · National Philanthropic Trust · American Endowment Foundation · Vanguard Charitable Endowment Program · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · 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 Our Lady of the Lake Foundation Inc 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%1%4%8%15%your share of their income ↑0%3%5%8%10%share of the org’s income from governmentmedian 0%
  • Hope for Haiti Inc0% of 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 · 0–10%
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 Our Lady of the Lake Foundation Inc?

Find your warmest path to Our Lady of the Lake Foundation Inc 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 22 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 2021, released 2021. Filings run roughly 12–24 months behind; figures are dated accordingly.

Source object · view filing

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