funder-graph

FundersCAOkura Mental Health Leadership Foundation Inc › 2019

Grants paid by Okura Mental Health Leadership Foundation Inc, tax year 2019

EIN 52-1636878 · Oakland, CA · Form 990-PF, Part XV

In tax year 2019, Okura Mental Health Leadership Foundation Inc (EIN 52-1636878) reported 7 grants paid totaling $85,000. Dataset version 2026.09.0, built 2026-09-03.

201820192020202220232024

Every grant, 2019

Grants reported by Okura Mental Health Leadership Foundation Inc for tax year 2019
Tax yearRecipientMatchAmountTypePurposeSource filing
2019Little Tokyo Service Center Los Angeles, CAU$72,500paidSOCIAL WELFARE202022409349100327
2019Visual Communications Los Angeles, CAC$2,500paidASIAN AMERICAN MEDIA SUPPORT202022409349100327
2019Asian American Drug Abuse Program Los Angeles, CAB$2,000paidPROGRAMS & SERVICES202022409349100327
2019Kizuna Los Angeles, CAU$2,000paidEDUCATIONAL SERVICES202022409349100327
2019Jaccc Los Angeles, CAU$2,000paidGENERAL202022409349100327
2019Filipino Migrant Center Long Beach, CAB$2,000paidGENERAL202022409349100327
2019Japanese American National Museum Los Angeles, CAB$2,000paidPROGRAMS & SERVICES202022409349100327

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.