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Foundation Dossiers

Massachusetts · Private foundation

The Angerman Foundation

Its FY2020 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$426k
Granted FY2020
2
Grants FY2020
1
Organizations funded FY2020
Read the full brief
Median grant, FY2020
$216,000
Largest grant, FY2020
$216,000
States reached, FY2020
2
Applications
Preselected organizations only
Per its most recent filing; check its own site

Top grantees

Largest grants in FY2020.

FIDELITY CHARITALBLE GIFT FUND TRUST$216,000
INDIAN RIVER COMMUNITY FOUNDATION$210,000

Compare The Angerman Foundation with peer funders

Warm introductions · Powered by PlinthPlus

How do I get to The Angerman Foundation?

Find your warmest path to The Angerman 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.

About The Angerman Foundation

How much does The Angerman Foundation give?
The Angerman Foundation reported 2 grants totaling $426,000 in its FY2020 IRS filing.
What does The Angerman Foundation fund?
By grant dollars over FY2020 to FY2020, its largest causes are Philanthropy (100%).
Does The Angerman Foundation accept unsolicited applications?
Its most recent filing reports that it funds preselected organizations and does not take unsolicited requests. Check the foundation's own site before ruling it out.
Where is The Angerman Foundation based?
The Angerman Foundation is based in MA.

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 2 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 2020, released 2020. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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