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· Private foundation

The Babinski 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.

$1k
Granted FY2024still arriving
1
Grants FY2024still arriving
1
States reached
$1k
Largest
01What it funds
0180% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2024.

Animals$505kFood & Nutrition$1kRecreation & Sports$1kCommunity Improvement$1kEducation$700Public Safety & Disaster$20Other$0
02FY2024 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

$1,000
Median grant
1
States reached
$66M
Total assets
Largest grants
RecipientAmount
MINNESOTA VETERINARY MEDICAL FOUNDATION$1,000
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:

Dollar for dollar, its grants (FY17–24) land where the poverty rate runs at 11%, against an area that typically sits at 6%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 6%MINNESOTA VETERINARY MEDICAL FOUNDATION: $1k → 6%GAYLORD FIRE DEPARTMENT: $20 → 8%CONFIDENCE LEARNING CENTER: $1k → 11%LEECH LAKE LEGACY: $500k → 11%COMMUNITY ACTION OF PEQUOT LAKES: $1k → 14%SIOUX FALLS AREA HUMANE SOCIETY: $500 → 9%GAYLORD FIRE DEPARTMENT: $20 → 8%KIDS AGAINST HUNGER: $1k → 11%PEQUOT LAKES SCHOOL: $700 → 14%SIOUX FALLS AREA HUMANE SOCIETY: $500 → 9%GAYLORD FIRE DEPARTMENT: $20 → 8%SIOUX FALLS AREA HUMANE SOCIETY: $500 → 9%GAYLORD FIRE DEPARTMENT RELIEF ASSISTANCE: $20 → 8%SIOUX FALLS AREA HUMANE SOCIETY: $500 → 9%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 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
Lacrescent Animal Rescue Inc

Established in 2005, La Crescent Animal Rescue (LAR) is an all-volunteer, non-profit 501(c) 3 organization dedicated to the protection and welfare of animals in La Crescent, Minnesota. Our rescue shelter depends solely on the support and…

Animals
2
Animal Humane Society

Animal Humane Society (AHS) established in 1878 and incorporated as a nonprofit charitable organization in 1891 works to engage the hearts, hands, and minds of the community to help animals. AHS's vision is to compassionately and…

Animals
3
Lake County Animal Services Dba Orphan Dog Rescue

We provide emergency medical services, spays ands neuters for animals in need.

—
4
Siouxland Humane Society Inc

Provide services and programs that promote humane treatment of animals in the siouxland area. the organization operates a shelter, adopts animals to the public, promotes the spay/neuter of pets, provides educational programs and materials…

Animals
5
Lake County Humane Society

Animal shelter/pet adoptions

—
6
Michigan Animal Rescue League

The mission of the michigan animal rescue league is to provide the highest quality of life to dogs and cats through rescue, medical care, socialization and behavioral support, short- and long-term sanctuary, adoption, and community…

Animals
7
Beaverhead Animal Shelter

The mission is to protect and care for homeless animals in the Dillon and Beaverhead county area.

Animals
8
Rural Animal Rescue Effort

Animal rescue and temporary housing for dogs and cats while waiting for adoptions. The shelter provides rescue services, temporary housing, medical care, transporting and adoption services.

Animals
9
Humane Society of Lake County Inc

The Humane Society of Lake County is a non-profit corporation organized solely for charitable purposes and has the general responsibility to operate for the advancement of humane treatment and the prevention of cruelty to animals. Founded…

Animals
10
Northern Lakes Rescue

Northern Lakes Rescue aims to be the voice for we hear them through our hearts and give them a voice; for their eyes speak volumes. We aim to improve the lives of these animals in need by placing them in a loving foster home while getting…

Animals
11
Oneida County Humane Society

Promote humane treatment of companion animals and provide care and shelter while waiting to be rehomed

—
12
Animal Humane Society Veterinary Centers Pc

Provide wellness and spay/neuter services at reduced cost for people in need.

Community Improvement
How this is measured
The grantee most central to the portfolio’s shape is Sioux Falls Area Humane Society; the most unlike its peers is Gaylord Fire Department Relief Association. 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 10 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)
3
Early backer (in before they grew)
8/8
Grantees still filing
6/8
Grew since first funded

Where the money sits, by cause and then by grantee

Leech Lake Legacy: $500,000 · AnimalsLeech Lake Legacy+3 more: $5,000 · AnimalsCONFIDENCE LEARNING CENTER INC: $1,000 · OtherPEQUOT LAKES SCHOOL: $700 · OtherIndividual grant recipient: $60 · OtherOUTREACH PROGRAM OF BRAINERD LAKES: $1,000 · Food & NutritionCommunity Action of Pequot Lakes: $1,000 · Community ImprovementGAYLORD FIRE DEPARTMENT RELIEF ASSOCIATION: $20 · Public Safety & Disaster
Animals$505,000Other$1,760Food & Nutrition$1,000Community Improvement$1,000Public Safety & Disaster$20

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

25%50%75%100%$1.0M$10Mgrantee revenue →↑ funder's share of their budgetSIOUX FALLS AREA HUMANE SOCIETY: $2,000 over 4y, 0.1% of budgetMAUI HUMANE SOCIETY: $2,000 over 1y, 0.0% of budgetOUTREACH PROGRAM OF BRAINERD LAKES: $1,000 over 1y, 0.7% of budgetMINNESOTA VETERINARY MEDICAL FOUNDATION: $1,000 over 1y, 0.2% of budgetCONFIDENCE LEARNING CENTER INC: $1,000 over 1y, 0.1% of budgetGAYLORD FIRE DEPARTMENT RELIEF ASSOCIATION: $20 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 set of overlaps that mostly run through this funder rather than between each other.

Amazonsmile FoundationWA2.4× affinity5 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: 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 The Babinski Foundation funds: left to right is the share of its income from government, bottom to top the share from The Babinski Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%6%25%56%100%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
    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.
    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to The Babinski Foundation?

    Find your warmest path to The Babinski 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 10 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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