Funders › NY › Manhasset Women's Coalition Against Breast Cancer Inc › 2022
Grants paid by Manhasset Women's Coalition Against Breast Cancer Inc, tax year 2022
EIN 11-3428858 · Manhasset, NY · Form 990, Schedule I · NTEE E60
In tax year 2022, Manhasset Women's Coalition Against Breast Cancer Inc (EIN 11-3428858) reported 6 grants paid totaling $256,550. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2022
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2022 | Nyu Grossman School of Medicine New York, NY | A | $75,000 | paid | Reserach | 202343199349306914 |
| 2022 | Feinstein Institute for Medical Research Manhasset, NY | A | $75,000 | paid | Research | 202343199349306914 |
| 2022 | Cold Spring Harbor Labs Cold Spring Harbor, NY | A | $75,000 | paid | Research | 202343199349306914 |
| 2022 | Adelphi University Garden City, NY | A | $15,000 | paid | Support | 202343199349306914 |
| 2022 | Northwell Health Foundation New Hyde Park, NY | A | $11,500 | paid | Support | 202343199349306914 |
| 2022 | St Francis Hospital Foundation Roslyn, NY | A | $5,050 | paid | Support | 202343199349306914 |
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.