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· Private foundation

Michael Zemanek Memorial Foundation Inc

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.

$7k
Granted FY2025still arriving
4
Grants FY2025still arriving
2
States reached
$3k
Largest
01What it funds
0190% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2025.

Human Services$26kHealth$9kPublic Safety & Disaster$8kCrime & Legal$4kArts & Culture$2kOther$0
02FY2025 · 4 grants

Where the money goes

Grants by size, and the largest recipients.

$2,000
Median grant
2
States reached
$100k
Total assets
Largest grants
RecipientAmount
Individual grant recipient$3,000
Individual grant recipient$2,000
Individual grant recipient$1,000
Individual grant recipient$1,000
02Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

34%of every dollar goes to organizations it has funded before.
$18k · 5 repeat orgs$35k to everyone else

5 repeat relationships: 2 still active in FY2025, 3 since wound down; 2 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

5
13

Total granted

$18k
$31k

Still filing today

0%
0%

New vs renewed · share of each year

In FY2025, 43% of grant dollars renewed an existing relationship; $4k went to new ones.

50%100%’20’21’22’23’24’25
RenewedFirst-time
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.

Backed again, and grew

  • IG
    Individual grant recipient
    6× · 2020–2025 · $6k
  • IG
    Individual grant recipient
    2× · 2021–2025 · $4k
  • IG
    Individual grant recipient
    2× · 2023–2024 · $4k

Funded once

  • CA
    Chad and Alisha Miles
    one grant, 2023 · $15k
  • IG
    Individual grant recipient
    one grant, 2024 · $2k
  • VB
    Virginia Bauter Woolf ROC
    one grant, 2022 · $2k
How this is measured

Repeat means funded in two or more distinct years. Growth and survival are read from each grantee’s own subsequent IRS filings.

03Its field
03the grantee network

0 grantees tracked through their own filings, 2020–2025.

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 2025, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 20 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

Chad and Alisha Miles: $15,000 · OtherChad and Alisha MilesIndividual grant recipient: $5,500 · OtherIndividual grant recipientIndividual grant recipient: $4,000 · OtherIndividual grant recipientIndividual grant recipient: $4,000 · OtherIndividual grant recipientIndividual grant recipient: $3,000 · OtherIndividual grant recipientIndividual grant recipient: $2,000 · OtherVirginia Bauter Woolf ROC: $2,000 · OtherIndividual grant recipient: $2,000 · OtherSt Albans Police Chief M Lamothe: $2,000 · OtherIndividual grant recipient: $2,000 · OtherIndividual grant recipient: $2,000 · Other+9 more: $8,695 · Other+9 more
Other$52,195

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 20 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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