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· Private foundation

Ezer Giving

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$218k
Granted FY2025still arriving
14
Grants FY2025still arriving
8
States reached
$81k
Largest
01What it funds
01FY2025 · 14 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k5 grants · $22k
  • $10k–50k8 grants · $115k
  • $50k–250k1 grant · $81k
$12,100
Median grant
8
States reached
$912k
Total assets
Largest grants
RecipientAmount
Light 2 The World$81,000
Casa Sobre la Roca$27,500
Twin Cities Church$15,000
Central Missionary Clearinghouse$13,481
Came to Believe Recovery$13,000
Blazing Hope Ranch$12,100
Psalm 82 Initiative$12,100
Individual grant recipient$12,100
Sierra Bible Church$10,000
Mukwonago Baptist Church$8,745
Baptist World Mission$6,050
Mount Hope Bible Camp$6,050
Greater European Mission$770
Ripe for Harvest$440
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 13%, against an area that typically sits at 14%. 32% of its dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 14%Sierra Bible Church: $10k → 11%Came to Believe Recovery: $13k → 18%Central Missionary Clearinghouse: $13k → 16%Casa Sobre la Roca: $28k → 13%Psalm 82 Initiative: $12k → 14%Mukwonago Baptist Church: $9k → 5%Blazing Hope Ranch: $12k → 14%Greater European Mission: $770 → 9%Twin Cities Church: $15k → 11%Caring for Women: $12k → 18%Light 2 The World: $81k → 11%Mount Hope Bible Camp: $6k → 18%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.

Which US states its grants reach

WI
MI
CA
CO
TN
AL
TX
FL
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

2 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. 2 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)
2/2
Grantees still filing
0/2
Grew since first funded

Where the money sits, by cause and then by grantee

Light 2 The World: $81,000 · OtherLight 2 The WorldCasa Sobre la Roca: $27,500 · OtherCasa Sobre la RocaTwin Cities Church: $15,000 · OtherTwin Cities ChurchCentral Missionary Clearinghouse Inc: $13,481 · OtherCentral Missionary Clearinghouse IncCame to Believe Recovery: $13,000 · OtherCame to Believe RecoveryPsalm 82 Initiative: $12,100 · OtherPsalm 82 InitiativeIndividual grant recipient: $12,100 · OtherIndividual grant recipientSierra Bible Church: $10,000 · OtherMukwonago Baptist Church: $8,745 · Other+4 more: $13,310 · Other+4 moreBLAZING HOPE RANCH: $12,100 · Religion
Other$206,236Religion$12,100

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 budgetCentral Missionary Clearinghouse Inc: $13,481 over 1y, 0.0% of budgetBLAZING HOPE RANCH: $12,100 over 1y, 2.7% 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.

  • Who funds Central Missionary Clearinghouse Inc ↗
  • Who funds BLAZING HOPE RANCH ↗

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 set of overlaps that mostly run through this funder rather than between each other.

Amazonsmile FoundationWA3.3× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: 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 Ezer Giving funds: left to right is the share of its income from government, bottom to top the share from Ezer Giving. 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 Ezer Giving?

    Find your warmest path to Ezer Giving 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 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-PF 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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