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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 you fund
01100% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20172025.

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

Where the money goes

Your grants by size, and where they go.

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

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:

Your 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 your 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

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.

88%of every dollar goes to organizations you’ve 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

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

  • LL
    LULUS LOCKER RESCUE
    4× · 2022–2025 · $34k · revenue -40%
  • OH
    OPEN HEART MAGIC
    2× · 2018–2019 · $11k · revenue +31%
  • 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

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

04Your field

The map has a center of gravity: the average direction from the rest of the sector toward the organizations the foundation funds — the shape of its giving. Scoring every nonprofit along that direction surfaces the ones that look most like the portfolio. These are the closest matchesthat aren’t grantees — 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

For reference, the grantee most central to the portfolio’s shape is Wright-Way Rescue Inc and 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 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. 8 of the 11 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)
8/8
Grantees still filing
4/8
Grew since you first funded

Where your money sits — by cause, 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 org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ your 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
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.

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.

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

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 Strok-Michals Family 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.

2023
202122232425
no gov · 00%1%5%11%20%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
    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, 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 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 directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 11 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 2025, released 2025. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Source object · view filing

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