funder-graph

FundersNJMargaret and Peter Chang Foundation › 2020

Grants paid by Margaret and Peter Chang Foundation, tax year 2020

EIN 27-0765348 · Westfield, NJ · Form 990-PF, Part XV · NTEE T22

In tax year 2020, Margaret and Peter Chang Foundation (EIN 27-0765348) reported 7 grants paid totaling $87,500. Dataset version 2026.09.0, built 2026-09-03.

20182019202020212022202320242025

Every grant, 2020

Grants reported by Margaret and Peter Chang Foundation for tax year 2020
Tax yearRecipientMatchAmountTypePurposeSource filing
2020Chidlren's Specialized Hospital Mountainside, NJU$35,000paidCare Coordinator202121239349100827
2020Casa of Union County Elizabeth, NJU$15,000paidFostering Futures202121239349100827
2020Middlesex Community College Edison, NJD$12,000paidScholarship202121239349100827
2020YWCA Eastern Union County Elizabeth, NJD$10,000paidDomestic Violence Shelter202121239349100827
2020Summit Speech School New Providence, NJB$8,000paidParent/Infant Program202121239349100827
2020Resolve Community Counseling Center Scotch Plains, NJB$5,000paidIndividual/Family Counseling202121239349100827
2020Imagine Mountainside, NJC$2,500paidGrief Counseling202121239349100827

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-PF 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.