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· Private foundation

E Plus Foundation

Its FY2018 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$92k
Granted FY2018
4
Grants FY2018
3
States reached
$59k
Largest
01What it funds
01FY2018 · 4 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2018

  • Under $10k2 grants · $9k
  • $10k–50k1 grant · $24k
  • $50k–250k1 grant · $59k
$24,460
Median grant
3
States reached
$0
Total assets
Largest grants
RecipientAmount
Tough Enough to Wear Pink$59,182
Statesboro Bulloch County Breast Cancer Foundation Incorporated$24,460
Lake City Cancer Care LLC$5,000
South Georgia Center for Cancer Care$3,500
02Its field
02the grantee network

0 grantees tracked through their own filings, 2018–2018.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2018 to 2018, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 4 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)
0/0
Grantees still filing
0/0
Grew since first funded

Where the money sits, by cause and then by grantee

Tough Enough to Wear Pink: $59,182 · OtherTough Enough to Wear PinkStatesboro Bulloch County Breast Cancer Foundation Incorporated: $24,460 · OtherStatesboro Bulloch County Breast Cancer Foundation IncorporatedLake City Cancer Care LLC: $5,000 · OtherLake City Cancer Care LLCSouth Georgia Center for Cancer Care: $3,500 · Other
Other$92,142

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

25%50%75%100%grantee revenue →↑ funder's share of their 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.

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 4 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 2018, released 2018. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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