Funders › CA › Miranda Leigh Nelson Foundation › 2024
Grants paid by Miranda Leigh Nelson Foundation, tax year 2024
EIN 87-1267078 · Huntingtn Bch, CA · Form 990-PF, Part XV · NTEE T20
In tax year 2024, Miranda Leigh Nelson Foundation (EIN 87-1267078) reported 6 grants paid totaling $7,800. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2024
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2024 | Mental Health Association of Orange County Santa Ana, CA | U | $1,300 | paid | Mental Health Services | 202541069349100009 |
| 2024 | Didi Hirsch Mental Health Services Culver City, CA | U | $1,300 | paid | Mental health services | 202541069349100009 |
| 2024 | Red Bucket Equine Rescue Chino Hills, CA | B | $1,300 | paid | Support animal welfare. | 202541069349100009 |
| 2024 | Nami California Sacramento, CA | B | $1,300 | paid | Mental Health Care and Services | 202541069349100009 |
| 2024 | Animal Welfare Institute Washington, DC | B | $1,300 | paid | Support animal welfare. | 202541069349100009 |
| 2024 | Sheldrick Wildlife Trust USA Laguna Hills, CA | U | $1,300 | paid | Animal Welfare | 202541069349100009 |
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.