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New York · Private foundation

American Mazu Foundation

Its FY2026 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$800
Granted FY2019
1
Grants FY2019
1
Organizations funded FY2019
100%
First-time grantees FY2019
Read the full brief
Median grant, FY2019
$800
Largest grant, FY2019
$800
Organizations funded a year
1 to 1
FY2018 to FY2019
States reached, FY2019
1
Total assets, FY2019
$115k
Applications
Preselected organizations only
Per its most recent filing; check its own site

How open it is to new grantees

In FY2019, 100% of the organizations American Mazu Foundation funded were first-time grantees, receiving 100% of its grant dollars.

The numbers by year
Fiscal yearOrganizations fundedTo those organizationsFirst-time grantees
FY20191$800100%
FY20181$700n/a
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2018 to 2019.

Community Improvement$2k

Top grantees

Largest grants in FY2019.

LUN SAI HO ASSOCIATION$800

Compare American Mazu Foundation with peer funders

About American Mazu Foundation

How much does American Mazu Foundation give?
American Mazu Foundation reported 1 grants totaling $800 in its FY2019 IRS filing. It funded between 1 and 1 organizations a year over FY2018 to FY2019.
What does American Mazu Foundation fund?
By grant dollars over FY2018 to FY2019, its largest causes are Community Improvement (100%).
Does American Mazu Foundation fund new organizations?
In FY2019, 100% of the organizations it funded were first-time grantees.
Does American Mazu 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 American Mazu Foundation based?
American Mazu Foundation 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 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 2019, released 2019. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2026) is on record but names no grant recipient in the published copy, so the figures above are from FY2019, the most recent year this funder’s grantee list reached the public record.

Source object · view filing

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