· Private foundation
Ka Ha O Ka Aina
Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.
Where the money goes
Grants by size, and the largest recipients.
| Recipient | Amount |
|---|---|
| NATURE CONSERVATORY | $5,150 |
| RAINBOW FRIENDS ANIMAL SANCTUARY | $700 |
| HOSPICE OF HILO | $200 |
Does the money reach high-need areas?
Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.
Its human-services grants (FY22–22, $200) land where the poverty rate runs at 15%, against an area that typically sits at 13%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.
How this is measured
How this is measured
2 grantees tracked through their own filings, 2018–2024.
Each grant beside the grantee’s revenue from every source, year by year.
How this is measured
Counted here: distinct organizations funded across 2018 to 2024, not grant rows in a single year, so this will not match the grant count on the cover. 2 of the 3 grantees resolved in that span have returns of their own we could reconcile.
Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.
Where the money sits, by cause and then by grantee
Each grantee by its size and the funder’s share of it; top left is load-bearing
Grantee by grantee: a decade per organization, before and after funding
A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.
How much its grantees rely on government
Each dot is one organization Ka Ha O Ka Aina funds: left to right is the share of its income from government, bottom to top the share from Ka Ha O Ka Aina. Bigger dots raise more.
How this is measured
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How do I get to Ka Ha O Ka Aina?
Find your warmest path to Ka Ha O Ka Aina through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.
Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.
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