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American Legion Berens Scribner Post #6

Uphold the four pillars of the American Legion which are Homeland Security, Community, Children and Youth and finally Veterans,

$35k
Granted FY2017
4
Grants FY2017
1
States reached
$30k
Largest

Read this first · the figures below need context

85% of American Legion Berens Scribner Post #6’s FY2017 grant dollars went to Community Foundation Of Central Wisconsin Inc, not to grantees.

Its money now reaches organizations through that sponsor, which does not report who recommended each grant. FY2017 names 0 organizations directly, so a portfolio cannot be read from it.

01What it funds
01FY2017 · 4 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2017

  • Under $10k3 grants · $5k
  • $10k–50k1 grant · $30k
$2,520
Median grant
1
States reached
$101k
Total assets
Largest grants
RecipientAmount
Community Foundation of Central Wisconsin$30,000
Miscellaneous organizations (8 organizations)$2,520
American Legion Baseball$2,500
Elks Lodge$250
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 (FY17–17) land where the poverty rate runs at 10%, against an area that typically sits at 8%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%Community Foundation of Central Wisconsin: $30k → 10%Miscellaneous organizations (8 organizations): $3k → 10%American Legion Baseball: $3k → 10%Elks Lodge: $250 → 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

1 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. 1 of the 4 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)
1
Early backer (in before they grew)
1/1
Grantees still filing
1/1
Grew since first funded

Where the money sits, by cause and then by grantee

COMMUNITY FOUNDATION OF CENTRAL WISCONSIN INC: $30,000 · PhilanthropyCOMMUNITY FOUNDATION OF CENTRAL WISCONSIN INCMiscellaneous organizations (8 organizations): $2,520 · OtherMiscellaneous or…American Legion Baseball: $2,500 · OtherAmerican Legion …Elks Lodge: $250 · Other
Philanthropy$30,000Other$5,270

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 budgetCOMMUNITY FOUNDATION OF CENTRAL WISCONSIN INC: $30,000 over 2y, 1.0% 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 COMMUNITY FOUNDATION OF CENTRAL WISCONSIN INC ↗

How much its grantees rely on government

Each dot is one organization American Legion Berens Scribner Post #6 funds: left to right is the share of its income from government, bottom to top the share from American Legion Berens Scribner Post #6. Bigger dots raise more.

2025
’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 American Legion Berens Scribner Post #6?

    Find your warmest path to American Legion Berens Scribner Post #6 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 4 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.

    Possibly out of date. A more recent filing (FY2025) is on record and reports $3k of grant expense, but none of it to a named recipient. On a Form 990 that can mean grants abroad, filed by region only (Schedule F), grants under $5,000, which are not itemized, or a schedule referenced as an attachment the e-file does not carry. The figures above are therefore from FY2017, the most recent year this funder named its grantees.

    Source object · view filing

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