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New York · Private foundation

Simon and Margit Ungar Foundation I

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.

$9k
Granted FY2019
3
Grants FY2019
3
Organizations funded FY2019
33%
First-time grantees FY2019
Read the full brief
Median grant, FY2019
$3,000
Largest grant, FY2019
$5,000
Organizations funded a year
3 to 6
FY2017 to FY2019
States reached, FY2019
1
Total assets, FY2019
$36k
Applications
Preselected organizations only
Per its most recent filing; check its own site

How open it is to new grantees

In FY2019, 33% of the organizations Simon and Margit Ungar Foundation I funded were first-time grantees, receiving 33% of its grant dollars.

New vs renewed · share of each year

In FY2019, 67% of grant dollars renewed an existing relationship; $3k went to new ones.

50%100%’18’19
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’18’19
HealthOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.
The numbers by year
Fiscal yearOrganizations fundedTo those organizationsFirst-time grantees
FY20193$9k33%
FY20186$66k83%
FY20173$390kn/a
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2019.

Philanthropy$389kReligion$41kEducation$30kHealth$3kYouth Development$750

Top grantees

Largest recipients by total granted, FY2017 to FY2019, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Sara Rechnitzer Foundation$257,8091100%
Solomon Ungar Foundation$131,4711n/a
Bikur Cholim Inc$3,00010%
Cong Sdei Yakov Inc$3851n/a

Plus 5 recipients with no EIN on record ($72k), not named here.

Compare Simon and Margit Ungar Foundation I with peer funders

Warm introductions · Powered by PlinthPlus

How do I get to Simon and Margit Ungar Foundation I?

Find your warmest path to Simon and Margit Ungar Foundation I 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 Simon and Margit Ungar Foundation I

How much does Simon and Margit Ungar Foundation I give?
Simon and Margit Ungar Foundation I reported 3 grants totaling $9,000 in its FY2019 IRS filing. It funded between 3 and 6 organizations a year over FY2017 to FY2019.
What does Simon and Margit Ungar Foundation I fund?
By grant dollars over FY2017 to FY2019, its largest causes are Philanthropy (84%), Religion (9%), Education (6%).
Who are Simon and Margit Ungar Foundation I's largest grantees?
By total granted over FY2017 to FY2019: Sara Rechnitzer Foundation ($258k), Solomon Ungar Foundation ($131k), Bikur Cholim Inc ($3k).
Does Simon and Margit Ungar Foundation I fund new organizations?
In FY2019, 33% of the organizations it funded were first-time grantees.
Does Simon and Margit Ungar Foundation I 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 Simon and Margit Ungar Foundation I based?
Simon and Margit Ungar Foundation I 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 9 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 (FY2022) 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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