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New York · Public charity

Cardiovascular & Imaging Research Foundation of Ny

Cardiovascular & Imaging Research Foundation of New York's mission statement is to support medical research and education and other projects aimed at treating and preventing cardiovascular diseases.

$236k
Granted FY2024(still arriving)
1
Grants FY2024
1
Organizations funded FY2021
Read the full brief
Median grant, FY2024
$236,174
Largest grant, FY2024
$236,174
States reached, FY2024
1
Total assets, FY2024
$178k
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2021 to 2024.

Health$621k

Top grantees

Largest recipients by total granted, FY2021 to FY2024, and the share of each one’s budget the grants supplied at peak.

GranteeTotal grantedYearsShare of their budget
Lenox Hill Hospital$384,80010%
The Feinstein Institutes for Medical Research$236,17410%

Compare Cardiovascular & Imaging Research Foundation of Ny with peer funders

About Cardiovascular & Imaging Research Foundation of Ny

How much does Cardiovascular & Imaging Research Foundation of Ny give?
Cardiovascular & Imaging Research Foundation of Ny reported 1 grants totaling $236,174 in its FY2024 IRS filing.
What does Cardiovascular & Imaging Research Foundation of Ny fund?
By grant dollars over FY2021 to FY2024, its largest causes are Health (100%).
Who are Cardiovascular & Imaging Research Foundation of Ny's largest grantees?
By total granted over FY2021 to FY2024: Lenox Hill Hospital ($385k), The Feinstein Institutes for Medical Research ($236k).
Where is Cardiovascular & Imaging Research Foundation of Ny based?
Cardiovascular & Imaging Research Foundation of Ny 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 e-file return for fiscal year 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2025) is on record and reports no grant expense, so the figures above are from FY2024, the most recent year this funder made grants.

Source object · view filing

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