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Utah · Public charity

Hartrampf Chair Education Fund

The hartrampf chair fund has been established to collect funds, which will eventually be used to establish a chair in plastic surgery in dr. Hartrampf's name, intended to support a plastic surgeon interested in breast reconstruction and research.

$249k
Granted FY2019
1
Grants FY2019
1
Organizations funded FY2019
Read the full brief
Median grant, FY2019
$249,087
Largest grant, FY2019
$249,087
States reached, FY2019
1

Top grantees

Largest grants in FY2019.

UNIVERSITY OF NORTH CAROLINA$249,087

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How do I get to Hartrampf Chair Education Fund?

Find your warmest path to Hartrampf Chair Education Fund 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 Hartrampf Chair Education Fund

How much does Hartrampf Chair Education Fund give?
Hartrampf Chair Education Fund reported 1 grants totaling $249,087 in its FY2019 IRS filing.
What does Hartrampf Chair Education Fund fund?
By grant dollars over FY2019 to FY2019, its largest causes are Health (100%).
Where is Hartrampf Chair Education Fund based?
Hartrampf Chair Education Fund is based in UT.

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 2019, released 2019. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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