· Public charity
Livelihood Nw
Our mission is to foster business sustainability and growth for entrepreneurs to build thriving local communities.
Where the money goes
Grants by size, and the largest recipients.
How this is measured
By grant size · FY2025
- Under $10k6 grants · $44k
- $10k–50k4 grants · $40k
| Recipient | Amount |
|---|---|
| JCL CONCRETE POLISHING | $10,000 |
| HOT MAMA SALSA | $10,000 |
| ASTREAUS PURVEYORS INC | $10,000 |
| LA CASA DE MAMA PDX | $10,000 |
| BLUE MOUNTAIN CANINE LLC | $9,000 |
| MISTER BITTEN LLC | $8,830 |
| COKIEA'S KITCHEN | $8,000 |
| KICHANA LLC | $6,000 |
| CAFE DE CREPE LLC | $6,000 |
| KALAPUYA WEAVING AND CONSULTING | $6,000 |
Does the money reach high-need areas?
Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.
Dollar for dollar, its grants (FY25–25) land where the poverty rate runs at 11%, against an area that typically sits at 8%. 70% of its 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
0 grantees tracked through their own filings, 2025–2025.
Each grant beside the grantee’s revenue from every source, year by year.
How this is measured
Counted here: distinct organizations funded across 2025 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 10 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.
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How do I get to Livelihood Nw?
Find your warmest path to Livelihood Nw 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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