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· Private foundation

Fundacion de Beneficencia Isabel Aninat Echazarreta

Its FY2023 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$2.5M
Granted FY2023
16
Grants FY2023
—
States reached
$1.4M
Largest
01What it funds
01FY2023 · 16 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2023

  • Under $10k2 grants · $9k
  • $10k–50k6 grants · $119k
  • $50k–250k6 grants · $425k
  • $250k+2 grants · $2.0M
$50,447
Median grant
—
States reached
$212M
Total assets
Largest grants
RecipientAmount
Individual grant recipient$1,443,355
FUNDACION TELETON$538,967
FUNDACION BRAZOS ABIERTOS$99,709
VICARIA DE LA PASTORAL SOCIAL$77,926
OBISPADO DE RANCAGUA COLEGIO AMADA$67,002
CONVENIO UNIVERSIDAD DE LOS ANDES$65,587
Individual grant recipient$64,676
Individual grant recipient$50,447
CONVENIO UNIVERSIDAD DE CHILE$37,702
ASOCIACION DE DAMAS SALESIANAS$23,715
FUNDACION COMPLEMENTA$16,816
Individual grant recipient$15,522
CENTRO ABIERTO LAURA VICUNA$12,935
FUNDACION PAR HOGAR SAGRADO CORAZON$12,738
CRUZ ROJA DE PROVIDENCIA Y LAS COND$4,603
02The need
02

Where the grant dollars land

Across the US and around the world.

US giving: 0% of grant dollars ($0). The 100% that went abroad ($2.5M) is mapped below.

Beyond the US: 100% of all-years giving ($2.5M)

2 countries, by the recipient’s country on the filing.

grant dollars sentlessmore
Chile$2.5M · 15 grants
Kenya$65k · 1 grant
How this is measured
International giving is mapped by the recipient’s country from the same 990 filings; comparable need data isn’t available at that grain.
03Its field
03the grantee network

0 grantees tracked through their own filings, 2023–2023.

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

How this is measured

Counted here: distinct organizations funded across 2023 to 2023, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 16 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

Individual grant recipient: $1,443,355 · OtherIndividual grant recipientFUNDACION TELETON: $538,967 · OtherFUNDACION TELETONFUNDACION BRAZOS ABIERTOS: $99,709 · Other+13 more: $454,198 · Other+13 more
Other$2,536,229

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.

04Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Fundacion de Beneficencia Isabel Aninat Echazarreta?

Find your warmest path to Fundacion de Beneficencia Isabel Aninat Echazarreta 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 16 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 2023, released 2023. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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