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· Public charity

United Good Neighbors of Jefferson Count

Soliciation of funds for charitable purposes.

$146k
Granted FY2017
7
Grants FY2017
—
States reached
$93k
Largest

Read this first · the figures below need context

65% of United Good Neighbors of Jefferson Count’s FY2017 grant dollars went to Jefferson Community Foundation, not to grantees.

Its money now reaches organizations through that sponsor, which does not report who recommended each grant. FY2017 names 6 organizations directly, so a portfolio cannot be read from it.

01What it funds
01FY2017 · 7 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2017

  • Under $10k4 grants · $26k
  • $10k–50k2 grants · $24k
  • $50k–250k1 grant · $93k
$7,554
Median grant
—
States reached
$0
Total assets
Largest grants
RecipientAmount
JEFFERSON COUNTY COMMUNITY FOUNDATION$93,310
OLYMPIC COMMUNITY ACTION$12,340
YMCA$11,937
DISCOVERY BEHAVIORAL HEALTH SERVICES$7,554
JUMPING MOUSE CHILDREN'S CENTER$7,031
ECHHO$5,602
DOVE HOUSE$5,465
02Its field
02the grantee network

7 grantees tracked through their own filings, 2017–2025.

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

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
4
Early backer (in before they grew)
7/7
Grantees still filing
6/7
Grew since first funded

Where the money sits, by cause and then by grantee

JEFFERSON COMMUNITY FOUNDATION: $93,310 · PhilanthropyJEFFERSON COMMUNITY FOUNDATIONOLYMPIC COMMUNITY ACTION PROGRAMS: $12,340 · Human ServicesOLYMPIC COMMUNITY A…OLYMPIC PENINSULA YOUNG MENS CHRISTIAN ASSN: $11,937 · Human ServicesOLYMPIC PENINSULA Y…Jumping Mouse Childrens Center: $7,031 · OtherJumping M…DOVE HOUSE ADVOCACY SERVICES: $5,465 · OtherDOVE HOUS…JEFFERSON COMMUNITY COUNSELING CENT DBA DISCOVERY BEHAVIORAL HEALTHCARE: $7,554 · Youth DevelopmentECHHO ECUMENICAL CHRISTIAN HELPING: $5,602 · Religion
Philanthropy$93,310Human Services$24,277Other$12,496Youth Development$7,554Religion$5,602

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

25%50%75%100%$1.0M$10Mgrantee revenue →↑ funder's share of their budgetJEFFERSON COMMUNITY FOUNDATION: $93,310 over 1y, 13% of budgetOLYMPIC COMMUNITY ACTION PROGRAMS: $12,340 over 1y, 0.2% of budgetOLYMPIC PENINSULA YOUNG MENS CHRISTIAN ASSN: $11,937 over 1y, 0.4% of budgetJEFFERSON COMMUNITY COUNSELING CENT DBA DISCOVERY BEHAVIORAL HEALTHCARE: $7,554 over 1y, 0.2% of budgetECHHO ECUMENICAL CHRISTIAN HELPING: $5,602 over 1y, 3.8% of budgetDOVE HOUSE ADVOCACY SERVICES: $5,465 over 1y, 0.7% of 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.

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a tightly interlocked group: most of these funders back each other's grantees too.

Jefferson Community FoundationWA15.7× affinity5 shared granteesties to 9 of 9Hover any node to trace its alignments.Compare side by side →

Open a dossier: Jefferson Community Foundation · Seattle Foundation · The Robert and Susan Brown Family Foundation Inc · I a O'Shaughnessy Foundation · First Fed Foundation · Medina Foundation · The Norcliffe Foundation · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · Amazonsmile Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization United Good Neighbors of Jefferson Count funds: left to right is the share of its income from government, bottom to top the share from United Good Neighbors of Jefferson Count. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%6%13%19%25%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    4report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–25%
    typical government reliance, FY20–25
    How this is measured
    Government income is each org’s traced federal awards (USASpending grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that a grant caused the public funding. Coverage is precision-first, a floor rather than a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12 to 24 months.
    03Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to United Good Neighbors of Jefferson Count?

    Find your warmest path to United Good Neighbors of Jefferson Count 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.

    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 7 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 2017, released 2017. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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