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· Private foundation

McGraw Family Foundation

$855k
Granted FY2023
5
Grants FY2023
4
States reached
$305k
Largest
01What it funds
0196% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2023.

Religion$648kEducation$464kHuman Services$82kPhilanthropy$9kInternational$5kRecreation & Sports$3kHousing & Shelter$2kYouth Development$250Other$0
02FY2023 · 5 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2023

  • $10k–50k1 grant · $25k
  • $50k–250k2 grants · $275k
  • $250k+2 grants · $555k
$200,000
Median grant
4
States reached
$0
Total assets
Largest grants
RecipientAmount
creighton University$305,000
holy spirit Catholic church$250,000
Saint Veronica Church$200,000
casa de luz$75,000
Curetivity Foundation$25,000
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 (FY20–20, $7k) land where the poverty rate runs at 12%, against an area that typically sits at 10%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%Boys Town: $7k → 12%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.

Which US states its grants reach

IL
MI
NY
NV
IN
CT
CA
CO
NE
MO
NC
AL
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.

48%of every dollar goes to organizations it has funded before.
$578k · 9 repeat orgs$635k to everyone else

9 repeat relationships: 1 still active in FY2023, 8 since wound down; 4 grantees were first funded in FY2023 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

9
14

Total granted

$578k
$85k

Median revenue growth · since first grant

+56%
+134%

Still filing today

11%
14%

New vs renewed · share of each year

In FY2023, 36% of grant dollars renewed an existing relationship; $550k went to new ones.

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

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

’17’18’19’20’21’23
ReligionEducationHealthHuman ServicesOther
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

  • CU
    Creighton University
    4× · 2018–2023 · $330k · revenue +56%
  • SL
    ST LOUIS CATHOLIC CHURCH
    4× · 2017–2020 · $111k
  • DO
    DIOCESE OF SAN BERNARDINO
    5× · 2017–2021 · $37k

Funded once

  • DS
    DREXEL SCHOOLS
    one grant, 2017 · $40k
  • IG
    Individual grant recipient
    one grant, 2021 · $10k
  • LL
    Loma Linda University Childrens Hos
    one grant, 2020 · $10k
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

7 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. 7 of the 29 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)
7/7
Grantees still filing
6/7
Grew since first funded

Where the money sits, by cause and then by grantee

holy spirit Catholic church: $250,000 · Otherholy spirit Catholic churchSaint Veronica Church: $200,000 · OtherSaint Veronica ChurchST LOUIS CATHOLIC CHURCH: $111,400 · OtherST LOUIS CATHOLIC CHURCHDREXEL SCHOOLS: $40,000 · OtherDIOCESE OF SAN BERNARDINO: $37,348 · Otherread with me program: $31,000 · Other+16 more: $102,135 · Other+16 moreCreighton University: $329,500 · EducationCreighton University+1 more: $2,500 · EducationCASA DE LUZ: $75,000 · ReligionSAMARITAN'S PURSE: $5,000 · ReligionThe Curetivity Foundation: $25,000 · HealthDESERT COMMUNITY FOUNDATION: $8,500 · PhilanthropyFather Flanagan's Boys' Home: $7,000 · Human Services
Other$771,883Education$332,000Religion$80,000Health$25,000Philanthropy$8,500Human Services$7,000

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

25%50%75%100%$10M$100Mgrantee revenue →↑ funder's share of their budgetCreighton University: $329,500 over 4y, 0.0% of budgetCASA DE LUZ: $75,000 over 1y, 7.7% of budgetThe Curetivity Foundation: $25,000 over 1y, 0.8% of budgetDESERT COMMUNITY FOUNDATION: $8,500 over 2y, 0.1% of budgetFather Flanagan's Boys' Home: $7,000 over 1y, 0.0% of budgetSAMARITAN'S PURSE: $5,000 over 1y, 0.0% of budgetUniversity of Notre Dame du Lac: $2,500 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 Creighton University ↗
  • Who funds CASA DE LUZ ↗
  • Who funds The Curetivity Foundation ↗
  • Who funds DESERT COMMUNITY FOUNDATION ↗
  • Who funds Father Flanagan's Boys' Home ↗
  • Who funds SAMARITAN'S PURSE ↗
  • Who funds University of Notre Dame du Lac ↗

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.

Vanguard Charitable Endowment ProgramPA10.2× affinity5 shared granteesties to 2 of 2Hover any node to trace its alignments.Compare side by side →

Open a dossier: Vanguard Charitable Endowment Program · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund

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 McGraw Family Foundation funds: left to right is the share of its income from government, bottom to top the share from McGraw Family Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 10%1%3%6%10%funder's share of their income ↑0%3%5%8%10%share of the org’s income from government →
    no gov moneyreceives it· size = income
    1get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–10%
    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.
    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to McGraw Family Foundation?

    Find your warmest path to McGraw Family 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 29 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 2023, released 2023. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2024) is on record but names no grant recipient in the published copy, so the figures above are from FY2023, the most recent year this funder’s grantee list reached the public record.

    Source object · view filing

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