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Fund for States

FUND FOR STATES is dedicated to building a democracy that works for every voter.

$1.6M
Granted FY2025still arriving
6
Grants FY2025still arriving
4
States reached
$750k
Largest
01What it funds
01FY2025 · 6 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • $10k–50k1 grant · $25k
  • $50k–250k3 grants · $600k
  • $250k+2 grants · $1.0M
$200,000
Median grant
4
States reached
$3.4M
Total assets
Largest grants
RecipientAmount
AMERICA WORKS USA$750,000
STRATEGIC VICTORY FUND$250,000
MICHIGAN CIVIC ACTION FUND$200,000
MAKE NORTH CAROLINA FIRST$200,000
A BETTER WISCONSIN TOGETHER INC$200,000
FOR OUR FUTURE ACTION FUND$25,000
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:

Dollar for dollar, its grants (FY25–25) land where the poverty rate runs at 12%, against an area that typically sits at 7%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 7%AMERICA WORKS USA: $750k → 14%MICHIGAN CIVIC ACTION FUND: $200k → 8%A BETTER WISCONSIN TOGETHER INC: $200k → 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
03the grantee network

6 grantees tracked through their own filings, 2018–2025.

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 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)
3
Early backer (in before they grew)
6/6
Grantees still filing
3/6
Grew since first funded

Where the money sits, by cause and then by grantee

AMERICA WORKS USA: $750,000 · OtherAMERICA WORKS USASTRATEGIC VICTORY FUND: $250,000 · OtherSTRATEGIC VICTORY FUNDMake North Carolina First: $200,000 · OtherMake North Carolina First+1 more: $25,000 · OtherA BETTER WISCONSIN TOGETHER INC: $200,000 · Civil RightsA BETTER WISCONSIN TOGETHER…MICHIGAN CIVIC ACTION FUND: $200,000 · Civil RightsMICHIGAN CIVIC ACTION FUND
Other$1,225,000Civil Rights$400,000

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 budgetAMERICA WORKS USA: $750,000 over 1y, 3.2% of budgetSTRATEGIC VICTORY FUND: $250,000 over 1y, 0.6% of budgetA BETTER WISCONSIN TOGETHER INC: $200,000 over 1y, 1.9% 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.

America VotesDC15.7× affinity5 shared granteesties to 7 of 7Hover any node to trace its alignments.Compare side by side →

Open a dossier: America Votes · Sixteen Thirty Fund · Fuse Washington · Strategic Victory Fund · State Engagement Fund · North Fund · American Federation of State County and Municipal Employees · National Education Association of the United States

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 Fund for States funds: left to right is the share of its income from government, bottom to top the share from Fund for States. 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%1%3%4%5%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    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.
    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Fund for States?

    Find your warmest path to Fund for States 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 6 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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