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· Public charity

San Juan Islands Agricultural Guild

to foster a vibrant, resilient and sustainable local food system in San Juan County, Washington

$72k
Granted FY2022
10
Grants FY2022
1
States reached
$8k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2022.

Food & Nutrition$216k
02FY2022 · 10 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 10 grants below total $65,758, the rows itemized in this filing. The $72,048 headline is the total grant expense on the return; the other $6,290 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.
$6,750
Median grant
1
States reached
$1.4M
Total assets
Largest grants
RecipientAmount
NEW HANNAH FARM$7,500
HORSE DRAWN FARM$7,500
LUM FARM LLC$7,500
JOON FARM$7,500
RISING OAK FARM LLC$6,750
STONECREST FARM$6,500
WEST BEACH FARM$6,382
CROZIER FARM$5,500
GOOSEFOOT PRODUCE$5,416
BABA YAGA FARM$5,210
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

show:

Dollar for dollar, its grants (FY20–22) land where the poverty rate runs at 10%, against an area that typically sits at 11%. 0% of its dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 11%MAPLE ROCK FARM: $56k → 10%LUM FARM LLC: $30k → 10%WEST BEACH FARMKATHLEEN MORRIS: $26k → 10%WEST BEACH FARM: $6k → 10%RAINBOW CHICKEN RANCHMARTA NIELSON: $6k → 10%CROZIER FARM: $6k → 10%ORCAS FARM - GEORGE ORSER: $8k → 10%NEW HANNAH FARM: $8k → 10%JOON FARM: $8k → 10%MORNING STAR FARM: $25k → 10%LUM FARM LLC: $8k → 10%RISING OAK FARM LLC: $7k → 10%HORSE DRAWN FARM: $8k → 10%STONECREST FARM: $7k → 10%GOOSEFOOT PRODUCE: $5k → 10%BABA YAGA FARM: $5k → 10%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving.
03Its field
04the grantee network

0 grantees tracked through their own filings, 2020–2022.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2020 to 2022, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 14 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.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
0/0
Grantees still filing
0/0
Grew since first funded

Where the money sits, by cause and then by grantee

MAPLE ROCK FARM: $55,828 · OtherMAPLE ROCK FARMLUM FARM LLC: $37,894 · OtherLUM FARM LLCWEST BEACH FARMKATHLEEN MORRIS: $32,282 · OtherWEST BEACH FARMKATHLEEN MORRISMORNING STAR FARM: $25,000 · OtherMORNING STAR FARMORCAS FARM - GEORGE ORSER: $7,513 · OtherNEW HANNAH FARM: $7,500 · OtherHORSE DRAWN FARM: $7,500 · OtherJOON FARM: $7,500 · Other+6 more: $35,154 · Other+6 more
Other$216,171

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%grantee revenue →↑ funder's share of their budget
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.

On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 14 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

How this is measured
Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

Generated from the IRS Form 990 e-file return for fiscal year 2022, released 2022. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2024) is on record and reports no grant expense, so the figures above are from FY2022, the most recent year this funder made grants.

Source object · view filing

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