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· Private foundation

Mag Witchger Family Foundation Inc

Its FY2018 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$24k
Granted FY2018
18
Grants FY2018
6
States reached
$10k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2018.

Religion$15kPublic Safety & Disaster$7kPhilanthropy$6kRecreation & Sports$5kFood & Nutrition$2kHealth$1kEducation$900Human Services$800Other$0
02FY2018 · 18 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2018

  • Under $10k17 grants · $14k
  • $10k–50k1 grant · $10k
$500
Median grant
6
States reached
$289k
Total assets
Largest grants
RecipientAmount
CATHOLIC COMMUNITY FOUNDATION$10,000
UNIVERSITY OF NOTRE DAME$5,000
HOLY SPIRIT CHURCH$3,000
CHARITABLE GIVING$1,000
ST ANTHONY INDIANA ZUNI RESERVATION$500
ST VINCENT DE PAUL$500
KIAWAH CONSERVANCY$500
RAMP LESS TRAVELED$500
KEVIN FROM HEAVEN FOUNDATION$500
BOYS GIRLS CLUB WHITE COUNTY$500
MIRACLE PLACE$300
BREATHING ROOM FDN$300
OUR LADY OF MERCY COMM OUTREACH$250
PURDUE UNIVERSITY$200
Individual grant recipient$200
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:

Dollar for dollar, its grants (FY17–18) land where the poverty rate runs at 11%, against an area that typically sits at 9%. 82% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 9%BREATHING ROOM FDN: $300 → 7%MYASTHEMIA GRAVIS FDN: $500 → 17%ST ANTHONY INDIANA ZUNI RESERVATION: $500 → 32%CATHOLIC COMMUNITY FOUNDATION: $10k → 12%RECEIPTED CHARITABLE CONTRIBUTIONS: $6k → 5%UNIVERSITY OF NOTRE DAME: $5k → 13%ST VINCENT DE PAUL: $500 → 16%PURDUE UNIVERSITY: $200 → 19%KEVIN FROM HEAVEN FOUNDATION: $500 → 7%HOLY SPIRIT CHURCH: $7k → 12%BOYS GIRLS CLUB WHITE COUNTY: $500 → 5%ST JOAN OF ARC: $200 → 16%HOLY SPIRIT CHURCH: $3k → 12%MIRACLE PLACE: $300 → 16%OUR LADY OF MERCY: $2k → 12%RAMP LESS TRAVELED: $500 → 16%CHARITABLE GIVING: $1k → 12%KIAWAH CONSERVANCY: $500 → 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 field
04the grantee network

5 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. 5 of the 21 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)
2
Early backer (in before they grew)
5/5
Grantees still filing
4/5
Grew since first funded

Where the money sits, by cause and then by grantee

HOLY SPIRIT CHURCH: $10,150 · OtherHOLY SPIRIT CHURCHCATHOLIC COMMUNITY FOUNDATION: $10,000 · OtherCATHOLIC COMMUNITY FOUNDATIONRECEIPTED CHARITABLE CONTRIBUTIONS: $5,700 · OtherRECEIPTED CHARITABLE CONTRIBUTIONSOUR LADY OF MERCY: $1,750 · OtherOUR LADY OF MERCY+12 more: $4,750 · Other+12 moreUniversity of Notre Dame du Lac: $5,000 · EducationUniversity of …KEVIN FROM HEAVEN FOUNDATION: $500 · PhilanthropyTHE BREATHING ROOM FOUNDATION INC: $300 · PhilanthropyThe Kiawah Island Natural Habitat Conservancy Inc: $500 · EnvironmentMiracle Place Inc: $300 · Community Improvement
Other$32,350Education$5,000Philanthropy$800Environment$500Community Improvement$300

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

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetUniversity of Notre Dame du Lac: $5,000 over 1y, 0.0% of budgetThe Kiawah Island Natural Habitat Conservancy Inc: $500 over 1y, 0.1% of budgetKEVIN FROM HEAVEN FOUNDATION: $500 over 1y, 0.4% of budgetTHE BREATHING ROOM FOUNDATION INC: $300 over 1y, 0.0% of budgetMiracle Place Inc: $300 over 1y, 0.1% 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 University of Notre Dame du Lac ↗
  • Who funds The Kiawah Island Natural Habitat Conservancy Inc ↗
  • Who funds KEVIN FROM HEAVEN FOUNDATION ↗
  • Who funds THE BREATHING ROOM FOUNDATION INC ↗
  • Who funds Miracle Place Inc ↗

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.

Donor Advised Charitable Giving IncCO5.9× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: Donor Advised Charitable Giving Inc · 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 Mag Witchger Family Foundation Inc funds: left to right is the share of its income from government, bottom to top the share from Mag Witchger Family Foundation Inc. 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
    1report government grants on their 990 we could not trace to a source (not plotted)
    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.

    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 21 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 2018, released 2018. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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