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· Private foundation

Kosch-Westerman Foundation

Its FY2023 filing reports that it accepted unsolicited grant applications.

$6k
Granted FY2023
8
Grants FY2023
3
States reached
$3k
Largest
01What it funds
0174% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2023.

Human Services$11kHealth$3kPublic Benefit$2kPublic Safety & Disaster$1kAnimals$135Food & Nutrition$105Youth Development$10Other$0
02FY2023 · 8 grants

Where the money goes

Grants by size, and the largest recipients.

$218
Median grant
3
States reached
$217k
Total assets
Largest grants
RecipientAmount
Jacks Helping Hand$2,600
American Legion Post 136$2,300
Wikipedia$322
Seniors in Homes co Tribe Coffeehouse$218
Arroyo Grande Womens Club$100
Panda Cares Foundation$40
Rancho Grande Market Holiday Food Drive$25
Wendys Catarina Club$10
02The need
03

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 (FY20–23, $11k) land where the poverty rate runs at 13%, against an area that typically sits at 9%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 9%Jacks Helping Hand: $3k → 12%California Hawaii Elks Major Project: $951 → 19%Zozu Project: $4k → 12%Zozu Project: $3k → 12%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 grantees
repeat funding

Who it funds again

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

23%of every dollar goes to organizations it has funded before.
$7k · 3 repeat orgs$25k to everyone else

3 repeat relationships: 2 still active in FY2023, 1 since wound down; 6 grantees were first funded in FY2023 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

3
9

Total granted

$7k
$19k

Median revenue growth · since first grant

-32%
+26%

Still filing today

33%
33%

New vs renewed · share of each year

In FY2023, 1% of grant dollars renewed an existing relationship; $6k went to new ones.

50%100%’20’21’22’23
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’20’21’22’23
Human ServicesPhilanthropyYouth DevelopmentPublic BenefitOther
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

  • E
    EDUCHRIST
    2× · 2021–2022 · $7k · revenue -32%
  • PC
    Panda Cares Foundation
    4× · 2020–2023 · $135
  • RG
    Rancho Grande Market Holiday Food Drive
    2× · 2021–2023 · $95

Funded once

  • IG
    Individual grant recipient
    one grant, 2020 · $6k
  • C1
    Covid 19 Hardship Grants - 32
    one grant, 2021 · $6k
  • C1
    Covid 19 Hardship Grants - 28
    one grant, 2020 · $3k
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.

04Its field
04the grantee network

6 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. 6 of the 18 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)
6/6
Grantees still filing
3/6
Grew since first funded

Where the money sits, by cause and then by grantee

Individual grant recipient: $5,739 · OtherIndividual grant recipientCovid 19 Hardship Grants - 32: $5,565 · OtherCovid 19 Hardship Grants - 32Covid 19 Hardship Grants - 28: $2,950 · OtherCovid 19 Hardship Grants - 28Hardship Grant for Joseph Torres terminal cancer expenses: $2,000 · OtherHardship Grant for Joseph Torres terminal cancer expensesIndividual grant recipient: $750 · Other+7 more: $984 · Other+7 moreEDUCHRIST: $7,064 · Human ServicesEDUCHRISTJACKS HELPING HAND INC: $2,600 · Human ServicesJACKS HELPING HAND INCCALIFORNIA-HAWAII ELKS MAJOR PROJECT INC: $951 · Human ServicesCALIFORNIA-HAWAII ELKS MAJOR PROJECT …AMERICAN LEGION POST 136: $2,300 · Public BenefitGOFUNDMEORG: $1,000 · PhilanthropyGIRL SCOUTS HEART OF CENTRAL CALIFORNIA: $10 · Youth Development
Other$17,988Human Services$10,615Public Benefit$2,300Philanthropy$1,000Youth Development$10

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

25%50%75%100%$100k$1.0M$10Mgrantee revenue →↑ funder's share of their budgetEDUCHRIST: $7,064 over 2y, 0.4% of budgetJACKS HELPING HAND INC: $2,600 over 1y, 0.2% of budgetAMERICAN LEGION POST 136: $2,300 over 1y, 2.5% of budgetGOFUNDMEORG: $1,000 over 1y, 0.0% of budgetCALIFORNIA-HAWAII ELKS MAJOR PROJECT INC: $951 over 1y, 0.0% of budgetGIRL SCOUTS HEART OF CENTRAL CALIFORNIA: $10 over 1y, 0.0% 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 EDUCHRIST ↗
  • Who funds JACKS HELPING HAND INC ↗
  • Who funds AMERICAN LEGION POST 136 ↗
  • Who funds GOFUNDMEORG ↗
  • Who funds CALIFORNIA-HAWAII ELKS MAJOR PROJECT INC ↗
  • Who funds GIRL SCOUTS HEART OF CENTRAL CALIFORNIA ↗

How much its grantees rely on government

Each dot is one organization Kosch-Westerman Foundation funds: left to right is the share of its income from government, bottom to top the share from Kosch-Westerman Foundation. 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.
    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Kosch-Westerman Foundation?

    Find your warmest path to Kosch-Westerman Foundation 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 18 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 2023, released 2023. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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