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· Public charity

The Washington Bus Education Fund

We catalyze the energy and enthusiasm of young Washingtonians and provide hands-on democracy opportunities like voter registration, youth voter turnout, and leadership development programs on campuses and communities.

$310k
Granted FY2024still arriving
5
Grants FY2024still arriving
1
States reached
$90k
Largest
01What it funds
01FY2024 · 5 grants

Where the money goes

Grants by size, and the largest recipients.

$50,000
Median grant
1
States reached
$971k
Total assets
Largest grants
RecipientAmount
Fair Work Center$90,000
Washington CAN$70,000
One America$50,000
Latino Community Fund of Washington State$50,000
Washington Community Alliance$50,000
02The need
02

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:

Its human-services grants (FY24–24, $50k) land where the poverty rate runs at 9%, against an area that typically sits at 7%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 7%Latino Community Fund of Washington State: $50k → 9%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
03the grantee network

5 grantees tracked through their own filings, 2017–2024.

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 2024, 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)
0
Early backer (in before they grew)
5/5
Grantees still filing
0/5
Grew since first funded

Where the money sits, by cause and then by grantee

Fair Work Center: $90,000 · EmploymentFair Work CenterWashington Community Action Network Education & Research Fund: $70,000 · OtherWashington Community Acti…Latino Community Fund of Washington State: $50,000 · Human ServicesLatino Community F…ONEAMERICA: $50,000 · Public BenefitONEAMERICAWashington Community Alliance: $50,000 · Civil RightsWashington Communi…
Employment$90,000Other$70,000Human Services$50,000Public Benefit$50,000Civil Rights$50,000

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

25%50%75%100%$10Mgrantee revenue →↑ funder's share of their budgetFair Work Center: $90,000 over 1y, 3.8% of budgetWashington Community Action Network Education & Research Fund: $70,000 over 1y, 11% of budgetLatino Community Fund of Washington State: $50,000 over 1y, 0.9% of budgetONEAMERICA: $50,000 over 1y, 1.3% of budgetWashington Community Alliance: $50,000 over 1y, 3.6% 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.

Washington Progress FundWA15.8× affinity5 shared granteesties to 6 of 6Hover any node to trace its alignments.Compare side by side →

Open a dossier: Washington Progress Fund · Stolte Family Foundation · Seattle Foundation · Bernier McCaw Foundation · The Satterberg Foundation Inc · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund

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 The Washington Bus Education Fund funds: left to right is the share of its income from government, bottom to top the share from The Washington Bus Education Fund. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 00%1%4%8%15%funder's share of their income ↑0%1%3%4%5%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 · 0–5%
    typical government reliance, FY20–24
    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.
    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to The Washington Bus Education Fund?

    Find your warmest path to The Washington Bus Education Fund 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 5 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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