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· Private foundation

The Chester & Ruth Baylor Family Foundation

Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$183k
Granted FY2024still arriving
9
Grants FY2024still arriving
3
States reached
$100k
Largest
01What it funds
0172% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2024.

Education$227kPublic Safety & Disaster$144kReligion$66kHuman Services$45kHealth$31kMembership Benefit$26kPublic Benefit$20kRecreation & Sports$10kOther$0
02FY2024 · 9 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • Under $10k6 grants · $23k
  • $10k–50k1 grant · $10k
  • $50k–250k2 grants · $150k
$5,000
Median grant
3
States reached
$2.5M
Total assets
Largest grants
RecipientAmount
Milan Public Schools$100,000
Individual grant recipient$50,000
Individual grant recipient$10,000
Hanover College$5,000
Hope's Closet$5,000
Individual grant recipient$5,000
Individual grant recipient$5,000
WAA$2,000
Dollars for Scholars$1,000
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 (FY20–24, $19k) land where the poverty rate runs at 13%, against an area that typically sits at 12%. 26% of those dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 12%Hope's Closet: $5k → 16%Safe Passage: $5k → 12%Safe Passage: $6k → 12%Safe Passage: $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.

66%of every dollar goes to organizations it has funded before.
$534k · 19 repeat orgs$275k to everyone else

19 repeat relationships: 8 still active in FY2024, 11 since wound down; 1 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

19
46

Total granted

$534k
$270k

Median revenue growth · since first grant

+28%
+113%

Still filing today

16%
9%

New vs renewed · share of each year

In FY2024, 97% of grant dollars renewed an existing relationship; $5k went to new ones.

50%100%’17’18’19’20’21’22’23’24
RenewedFirst-time

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

’17’18’19’20’21’22’23’24
Public BenefitHuman ServicesEducationAnimalsArts & CultureOther
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

  • MV
    MILAN VOLUNTEER FIRE DEPARTMENT IN
    6× · 2017–2022 · $93k · revenue +26% · 27% of their budget
  • SP
    SAFE PASSAGE INC
    3× · 2020–2023 · $14k · revenue +28%
  • HC
    Hanover College
    4× · 2018–2024 · $13k · revenue +103%

Funded once

  • IG
    Individual grant recipient
    one grant, 2022 · $50k
  • IG
    Individual grant recipient
    one grant, 2018 · $31k
  • SI
    Southeastern IN Shrine Club
    one grant, 2021 · $22k
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

Closest unfunded matches

The nonprofits that most resemble its grantees but are not funded by it, scored along the direction from the rest of the field toward the portfolio. A resemblance in what they say they do, not a recommendation.

1
Manchester Township Volunteer Fire

To provide fire protection and emergency services to the residents of manchester township.

Public Safety & Disaster
2
Bristol Fire Department Corp

To provide fire and ambulance service to the bristol, indiana area

—
3
Fleetville Volunteer Fire Company

Fire & emergency protection

Public Safety & Disaster
4
Semora Volunteer Fire Depart Inc

Volunteer fire department serving caswell and person counties

Public Safety & Disaster
5
Ahoskie Rural Volunteer Fire Department Inc

Rural volunteer fire protection

—
6
Rover Rescue Inc

Rescue dogs and puppies from high kill shelters

Animals
7
Hebron Volunteer Fire Department Inc

Provide fire protection for the citizens of hebron, boone township, porter county, indiana

Public Safety & Disaster
8
Rocky Point Volunteer Fire Department Inc

Volunteer fire department

Public Safety & Disaster
9
Hopedale Volunteer Fire Department

Providing volunteer firefighting & emergency services

Public Safety & Disaster
10
Dolphin Volunteer Fire Department

Fire protection services for dolphin, va and surrounding communities

—
11
New Washington Volunteer Fire Dept Inc

To provide fire protection and fire prevention services for the boundaries of new washington township in indiana

Public Safety & Disaster
12
Melrose Volunteer Fire Department Inc

Volunteer firefighters

Public Safety & Disaster
How this is measured
The grantee most central to the portfolio’s shape is Wreaths Across America; the most unlike its peers is Milan Volunteer Fire Department in. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
04the grantee network

8 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. 8 of the 66 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.

1
Load-bearing (≥25% of a budget)
3
Early backer (in before they grew)
8/8
Grantees still filing
6/8
Grew since first funded

Where the money sits, by cause and then by grantee

Milan Public Schools: $110,000 · OtherMilan Public SchoolsMILAN VOLUNTEER FIRE DEPARTMENT IN: $93,100 · OtherMILAN VOLUNTEER FIRE DEPARTMENT INIndividual grant recipient: $52,500 · OtherIndividual grant recipientIndividual grant recipient: $50,000 · OtherIndividual grant recipientIndividual grant recipient: $50,000 · OtherIndividual grant recipientMILAN UNITED METHODIST CHURCH: $46,675 · OtherMILAN UNITED METHODIST CHURCHMilan Community Schools: $36,500 · OtherIndividual grant recipient: $31,272 · Other+51 more: $302,489 · Other+51 moreSAFE PASSAGE INC: $14,000 · Human ServicesHOPE'S CLOSET INC: $5,000 · Human ServicesHanover College: $12,500 · EducationWreaths Across America: $2,000 · Public BenefitAMERICAN LEGION POST 235: $1,000 · Public BenefitMilan 54 Inc: $1,500 · Arts & CultureRIPLEY COUNTY HUMANE SOCIETY INC: $100 · Animals
Other$772,536Human Services$19,000Education$12,500Public Benefit$3,000Arts & Culture$1,500Animals$100

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 budgetMILAN VOLUNTEER FIRE DEPARTMENT IN: $93,100 over 6y, 27% of budgetSAFE PASSAGE INC: $14,000 over 3y, 0.4% of budgetHanover College: $12,500 over 4y, 0.0% of budgetHOPE'S CLOSET INC: $5,000 over 1y, 0.9% of budgetMilan 54 Inc: $1,500 over 1y, 1.9% of budgetRIPLEY COUNTY HUMANE SOCIETY INC: $100 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 MILAN VOLUNTEER FIRE DEPARTMENT IN ↗
  • Who funds SAFE PASSAGE INC ↗
  • Who funds Hanover College ↗
  • Who funds HOPE'S CLOSET 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.

Civista Charitable Foundation Fka Ucb Charitable FoundationIN13.6× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: Civista Charitable Foundation Fka Ucb Charitable Foundation · 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 The Chester & Ruth Baylor Family Foundation funds: left to right is the share of its income from government, bottom to top the share from The Chester & Ruth Baylor Family Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%2%8%17%30%funder's share of their income ↑0%3%5%8%10%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    3report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–10%
    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 The Chester & Ruth Baylor Family Foundation?

    Find your warmest path to The Chester & Ruth Baylor Family 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 66 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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