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New York · Public charity

Sigma Pi - Mu Chapter

$10k
Granted FY2018
1
Grants FY2018
1
Organizations funded FY2018
Read the full brief
Median grant, FY2018
$10,176
Largest grant, FY2018
$10,176
States reached, FY2018
1
Total assets, FY2018
$2.7M

Top grantees

Largest recipients by total granted, FY2018 to FY2018, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Mu Chapter of Sigma Pi Educational Foundation Inc$10,176117%

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Warm introductions · Powered by PlinthPlus

How do I get to Sigma Pi - Mu Chapter?

Find your warmest path to Sigma Pi - Mu Chapter 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 Sigma Pi - Mu Chapter

How much does Sigma Pi - Mu Chapter give?
Sigma Pi - Mu Chapter reported 1 grants totaling $10,176 in its FY2018 IRS filing.
What does Sigma Pi - Mu Chapter fund?
By grant dollars over FY2018 to FY2018, its largest causes are Education (100%).
Who are Sigma Pi - Mu Chapter's largest grantees?
By total granted over FY2018 to FY2018: Mu Chapter of Sigma Pi Educational Foundation Inc ($10k).
Where is Sigma Pi - Mu Chapter based?
Sigma Pi - Mu Chapter is based in NY.

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 1 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 e-file return for fiscal year 2018, released 2018. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2025) is on record and reports no grant expense, so the figures above are from FY2018, the most recent year this funder made grants.

Source object · view filing

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