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Texas · Public charity

Nanban Foundation

NANBAN FOUNDATION strives to provide free, high-quality financial education for all. The organization functions with the support of volunteers united by one common goal: knowledge sharing. Embracing online education, we invite people of all backgrounds to attend our free quarterly webinars in order to learn gk level-1 and level-2…

$14k
Granted FY2020
8
Grants FY2020
4
Organizations funded FY2020
Read the full brief
Median grant, FY2020
$1,700
Largest grant, FY2020
$5,000
States reached, FY2020
1
Total assets, FY2020
$129k

Top grantees

Largest grants in FY2020.

FRIENDS EDUCATIONAL & CHARITABLE TR$5,000
TEK FOOD FORCE$3,300
TEK FOOD FORCE$1,952
TEK FOOD FORCE$1,700
NEW HARMONY CHURCH$600
Individual grant recipient$351
Individual grant recipient$349
Individual grant recipient$347

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Warm introductions · Powered by PlinthPlus

How do I get to Nanban Foundation?

Find your warmest path to Nanban 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 Nanban Foundation

How much does Nanban Foundation give?
Nanban Foundation reported 8 grants totaling $13,599 in its FY2020 IRS filing.
What does Nanban Foundation fund?
By grant dollars over FY2020 to FY2020, its largest causes are Food & Nutrition (51%), Education (37%), Religion (4%).
Where is Nanban Foundation based?
Nanban Foundation is based in TX.

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

Possibly out of date. A more recent filing (FY2022) is on record and reports no grant expense, so the figures above are from FY2020, the most recent year this funder made grants.

Source object · view filing

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