Funders › NY › New York University › 2023
Grants paid by New York University, tax year 2023
EIN 13-5562308 · New York, NY · Form 990, Schedule I · NTEE B430
In tax year 2023, New York University (EIN 13-5562308) reported 27 grants paid totaling $1,169,886. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2023
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2023 | Washington Square Park Conservancy Inc New York, NY | A | $552,409 | paid | SUPPORT | 202401939349301015 |
| 2023 | National Center of Philanthrophy and the Law New York, NY | A | $290,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | American Academy of Nursing Washington, DC | A | $29,500 | paid | SUPPORT | 202401939349301015 |
| 2023 | Village Alliance New York, NY | A | $25,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | United Way of New York City New York, NY | A | $22,727 | paid | SUPPORT | 202401939349301015 |
| 2023 | Brooklyn Chamber of Commerce Brooklyn, NY | A | $20,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | University Settlement Society of New York New York, NY | A | $17,500 | paid | SUPPORT | 202401939349301015 |
| 2023 | Bowery Residents Committee (brc) Inc New York, NY | A | $17,500 | paid | SUPPORT | 202401939349301015 |
| 2023 | National Foundation for Facial Reconstruction Inc New York, NY | A | $17,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | Greenwich House Inc New York, NY | A | $16,500 | paid | SUPPORT | 202401939349301015 |
| 2023 | The Arnold P Gold Foundation Englewood Cliffs, NJ | A | $15,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | The Village Committee for the Jefferson Market Area Inc New York, NY | A | $15,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | Brooklyn Public Library Brooklyn, NY | A | $10,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | Edgi Brooklyn, NY | A | $10,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | Village Senior Services Corporation New York, NY | A | $10,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | Kaizntree Inc New York, NY | A | $10,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | Peeramid Labs Inc Brooklyn, NY | A | $10,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | Prospect Park Alliance Inc Brooklyn, NY | A | $10,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | Nagimo Corp Brooklyn, NY | A | $10,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | Bric Arts Media Brooklyn Inc Brooklyn, NY | A | $10,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | Likehome Inc Cambridge, MA | A | $10,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | Dumbo District Management Association Inc Brooklyn, NY | A | $8,500 | paid | SUPPORT | 202401939349301015 |
| 2023 | Brooklyn Museum Brooklyn, NY | A | $7,500 | paid | SUPPORT | 202401939349301015 |
| 2023 | Brooklyn Book Festival Inc Brooklyn, NY | A | $7,500 | paid | SUPPORT | 202401939349301015 |
| 2023 | Mindfull Community New York, NY | A | $7,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | Issue Project Room Inc New York, NY | A | $6,000 | paid | SUPPORT | 202401939349301015 |
| 2023 | Eastern Nursing Research Society Leesburg, VA | A | $5,250 | paid | SUPPORT | 202401939349301015 |
Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.
Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.
Derived from IRS Form 990 e-file XML. Dataset version 2026.09.0, built 2026-09-03. All years for this funder.
The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.
This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.