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· Private foundation

The Fisher Foundation

Its FY2017 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$170k
Granted FY2017
13
Grants FY2017
3
States reached
$59k
Largest
01What it funds
01FY2017 · 13 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2017

  • Under $10k8 grants · $20k
  • $10k–50k4 grants · $92k
  • $50k–250k1 grant · $59k
$2,500
Median grant
3
States reached
$0
Total assets
Largest grants
RecipientAmount
Kennedy's Disease Assoc$58,500
Bethel Baptist Church$30,000
St Mark's Lutheran Church$28,002
Individual grant recipient$23,000
Calvary Baptist Church$11,000
Foundation for National Institute of Health$5,000
Roanoke College$2,500
Salem Museum$2,500
Thursday Morning Music Club$2,500
First Christian Church$2,500
Individual grant recipient$2,000
Individual grant recipient$2,000
Community Christmas Store$898
02The need
02

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 (FY17–17, $898) land where the poverty rate runs at 8%, against an area that typically sits at 8%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%Community Christmas Store: $898 → 8%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
03the grantee network

4 grantees tracked through their own filings, 2017–2026.

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 2026, not grant rows in a single year, so this will not match the grant count on the cover. 4 of the 13 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)
1
Early backer (in before they grew)
4/4
Grantees still filing
3/4
Grew since first funded

Where the money sits, by cause and then by grantee

Bethel Baptist Church: $30,000 · OtherBethel Baptist ChurchSTMARKS LUTHERAN CHURCH: $28,002 · OtherSTMARKS LUTHERAN CHURCHIndividual grant recipient: $23,000 · OtherIndividual grant recipientCalvary Baptist Church: $11,000 · OtherCalvary Baptist Church+5 more: $11,500 · Other+5 moreKENNEDY'S DISEASE ASSOCIATION INC: $58,500 · HealthKENNEDY'S DISEASE ASSOCIATION INCFoundation for the National Institutes of Health Inc: $5,000 · HealthFoundation for the National Institutes of …ROANOKE COLLEGE: $2,500 · EducationCOMMUNITY CHRISTMAS STORE: $898 · Human Services
Other$103,502Health$63,500Education$2,500Human Services$898

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 budgetKENNEDY'S DISEASE ASSOCIATION INC: $58,500 over 1y, 17% of budgetFoundation for the National Institutes of Health Inc: $5,000 over 1y, 0.0% of budgetROANOKE COLLEGE: $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 KENNEDY'S DISEASE ASSOCIATION INC ↗
  • Who funds Foundation for the National Institutes of Health Inc ↗
  • Who funds ROANOKE COLLEGE ↗
  • Who funds COMMUNITY CHRISTMAS STORE ↗

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 FoundationWA2.7× affinity4 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 Fisher Foundation funds: left to right is the share of its income from government, bottom to top the share from The Fisher Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%0%1%3%5%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.
    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to The Fisher Foundation?

    Find your warmest path to The Fisher 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 13 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 2017, released 2017. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

    Play a game based on Fisher’s filings →

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