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New Jersey · Private foundation

Antoinette M Anastasia Trust Dated March 16 2016

Its FY2022 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$1.2M
Granted FY2020
1
Grants FY2020
1
Organizations funded FY2020
Read the full brief
Median grant, FY2020
$1,218,534
Largest grant, FY2020
$1,218,534
States reached, FY2020
1
Applications
Preselected organizations only
Per its most recent filing; check its own site

Top grantees

Largest recipients by total granted, FY2020 to FY2020, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Saint Elizabeth University$1,218,5341n/a

Compare Antoinette M Anastasia Trust Dated March 16 2016 with peer funders

About Antoinette M Anastasia Trust Dated March 16 2016

How much does Antoinette M Anastasia Trust Dated March 16 2016 give?
Antoinette M Anastasia Trust Dated March 16 2016 reported 1 grants totaling $1,218,534 in its FY2020 IRS filing.
What does Antoinette M Anastasia Trust Dated March 16 2016 fund?
By grant dollars over FY2020 to FY2020, its largest causes are Education (100%).
Who are Antoinette M Anastasia Trust Dated March 16 2016's largest grantees?
By total granted over FY2020 to FY2020: Saint Elizabeth University ($1.2M).
Does Antoinette M Anastasia Trust Dated March 16 2016 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 Antoinette M Anastasia Trust Dated March 16 2016 based?
Antoinette M Anastasia Trust Dated March 16 2016 is based in NJ.

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-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 but names no grant recipient in the published copy, so the figures above are from FY2020, the most recent year this funder’s grantee list reached the public record.

Source object · view filing

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