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· Private foundation

Strok-Michals Family Foundation

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$15k
Granted FY2025still arriving
2
Grants FY2025still arriving
2
States reached
$10k
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, FY2017 to 2025.

Animals$81kHealth$20kHuman Services$10kYouth Development$5k
02FY2025 · 2 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k1 grant · $5k
  • $10k–50k1 grant · $10k
$10,000
Median grant
2
States reached
$119k
Total assets
Largest grants
RecipientAmount
LULU'S LOCKER RESCUE$10,000
KIDS IN THE SPOTLIGHT INC$4,514
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 (FY18–19, $11k) land where the poverty rate runs at 14%, against an area that typically sits at 11%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 11%OPEN HEART MAGIC: $7k → 14%OPEN HEART MAGIC: $4k → 14%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.

88%of every dollar goes to organizations it has funded before.
$102k · 8 repeat orgs$14k to everyone else

8 repeat relationships: 1 still active in FY2025, 7 since wound down; 1 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

8
2

Total granted

$102k
$10k

Median revenue growth · since first grant

-11%
+51%

Still filing today

75%
50%

New vs renewed · share of each year

In FY2025, 69% of grant dollars renewed an existing relationship; $5k went to new ones.

50%100%’17’18’19’20’21’22’23’24’25
RenewedFirst-time

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

’17’18’19’20’21’22’23’24’25
AnimalsHuman ServicesHealthYouth DevelopmentOther
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

  • LL
    LULUS LOCKER RESCUE
    4× · 2022–2025 · $34k · revenue -40%
  • OH
    OPEN HEART MAGIC
    2× · 2018–2019 · $11k · revenue +60%
  • WR
    WRIGHT-WAY RESCUE INC
    2× · 2018–2019 · $11k · revenue -26%

Funded once

  • RU
    Rush University Medical Centergraduated
    one grant, 2017 · $5k · revenue +51%
  • MI
    MAGICAID INC
    one grant, 2020 · $5k
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

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
Runaways Animal Rescue
Animals
2
Starfish Animal Rescue
Animals
3
Donna's Love Pet Rescue
Animals
4
Meows and Mutts Rescue

We are an animal rescue who takes dogs and cats from high kill shelters, off the streets and owner surrenders and get them vetted and adopted and we transport them out of high volume areas to the northeast.

Animals
5
Raskels Rescue
Animals
6
Hope Fur Paws Rescue

To help injured, abandoned and unwanted animals. We provide food, vet care that includes heartworm prevention and spay or neuter services, shelter and anything else needed.

Animals
7
Paws and Claws Animal Shelter
Animals
8
Unos Home for Wayward Cats and Dogs

Animal rescue organization

Animals
9
Kiss for Homeless Animals
Animals
10
Open Door Animal Sanctuary

The mission of Open Door Animal Sanctuary is to provide homeless cats and dogs with highest quality of life and a second chance to find a forever family. Open door is currently one of the largest no-kill shelters in the Greater St. Louis…

—
11
K911

To rescue abandoned and displaced cats and dogs, bring them back to health, provide all medical and prepare them for their new home

Animals
12
Wag Again Rescue

We opened up our clinic and through the low-cost wellness we provided, we kept approximately 14,600 dogs in their homes which means they werent in shelters, the streets, or being rehomed in 2024 and provided access to low-cost care to…

Animals
How this is measured
The grantee most central to the portfolio’s shape is Wright-Way Rescue Inc; the most unlike its peers is Rush University Medical Center. 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

8 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. 8 of the 11 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)
2
Early backer (in before they grew)
8/8
Grantees still filing
4/8
Grew since first funded

Where the money sits, by cause and then by grantee

LULUS LOCKER RESCUE: $33,808 · AnimalsLULUS LOCKER RESCUEWRIGHT-WAY RESCUE INC: $10,750 · AnimalsWRIGHT-WAY RESCUE INCStarfish Animal Rescue: $9,435 · AnimalsStarfish Animal RescueHOOVED ANIMAL RESCUE & PROTECTION SOCIETY: $9,435 · AnimalsHOOVED ANIMAL RESCUE & PROTECTION SOCIETYBEST FRIENDS ANIMAL SOCIETY: $8,000 · AnimalsBEST FRIENDS ANIMAL SOCIETYMUTTVILLE SENIOR DOG RESCUE: $9,800 · OtherMUTTVILLE SENIOR DOG RE…VARIETY- THE CHILDRENS CHARITY OF THE UNITED STATES: $9,800 · OtherVARIETY- THE CHILDRENS …MAGICAID INC: $4,500 · OtherMAGICAID INCOPEN HEART MAGIC: $10,750 · Human ServicesOPEN HEART…Rush University Medical Center: $5,000 · HealthKIDS IN THE SPOTLIGHT INC: $4,514 · Youth Development
Animals$71,428Other$24,100Human Services$10,750Health$5,000Youth Development$4,514

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

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetLULUS LOCKER RESCUE: $33,808 over 4y, 16% of budgetOPEN HEART MAGIC: $10,750 over 2y, 0.9% of budgetWRIGHT-WAY RESCUE INC: $10,750 over 2y, 0.2% of budgetStarfish Animal Rescue: $9,435 over 2y, 1.1% of budgetHOOVED ANIMAL RESCUE & PROTECTION SOCIETY: $9,435 over 2y, 1.3% of budgetBEST FRIENDS ANIMAL SOCIETY: $8,000 over 2y, 0.0% of budgetRush University Medical Center: $5,000 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.

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.

AbbVie FoundationIL12.4× affinity4 shared granteesties to 5 of 5Hover any node to trace its alignments.Compare side by side →

Open a dossier: AbbVie Foundation · The Bank of America Charitable Foundation Inc · Paypal Charitable Giving Fund · American Online Giving Foundation Inc · Donor Advised Charitable Giving Inc · 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 Strok-Michals Family Foundation funds: left to right is the share of its income from government, bottom to top the share from Strok-Michals Family Foundation. Bigger dots raise more.

2023
’20’21’22’23’24’25
no gov · 00%1%5%11%20%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
    0get no government money at all
    1report 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.
    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Strok-Michals Family Foundation?

    Find your warmest path to Strok-Michals 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 11 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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