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Bless Our Children at a glance

· Public charity

Bless Our Children

Payments were made to various youth organizations to enhance their extra-curricular activities supporting athletic, spiritual, moral and educational programs.

$270k
Granted FY2023
12
Grants FY2023
2
States reached
$42k
Largest
01What it fundsRead
02The needRead
03Its fieldRead
01What it funds
01FY2023 · 12 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 12 grants below total $201,136, the rows itemized in this filing. The $269,646 headline is the total grant expense on the return; the other $68,510 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.

By grant size · FY2023

  • Under $10k4 grants · $26k
  • $10k–50k8 grants · $175k
$16,431
Median grant
2
States reached
$170k
Total assets
Largest grants
RecipientAmount
LaSalle High School$41,664
University of Cincinnati$30,905
University of Louisville$20,700
University of Mount Saint Joseph$18,495
Xavier University$18,309
Mercy MCAuley High School$16,431
Elder High School$14,509
Ohio State University$13,650
Seton High School$9,492
Miami University$6,116
Covington Catholic School$5,823
Roger Bacon High School$5,042
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 (FY23–23) land where the poverty rate runs at 15%, against an area that typically sits at 11%. 96% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 11%Miami University: $6k → 12%Ohio State University: $14k → 15%Mercy MCAuley High School: $16k → 16%Covington Catholic School: $6k → 11%Elder High School: $15k → 16%Seton High School: $9k → 16%LaSalle High School: $42k → 16%University of Mount Saint Joseph: $18k → 16%Xavier University: $18k → 16%Roger Bacon High School: $5k → 16%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

2 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. 2 of the 12 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)
2/2
Grantees still filing
2/2
Grew since first funded

Where the money sits, by cause and then by grantee

LA SALLE HIGH SCHOOL: $41,664 · OtherLA SALLE HIGH SCHOOLUNIVERSITY OF CINCINNATI: $30,905 · OtherUNIVERSITY OF CINCINNATIUNIVERSITY OF LOUISVILLE: $20,700 · OtherUNIVERSITY OF LOUISVILLEMERCY MCAULEY HIGH SCHOOL: $16,431 · OtherMERCY MCAULEY HIGH SCHOOLELDER HIGH SCHOOL: $14,509 · OtherELDER HIGH SCHOOLTHE OHIO STATE UNIVERSITY: $13,650 · OtherTHE OHIO STATE UNIVERSITYSETON HIGH SCHOOL: $9,492 · OtherSETON HIGH SCHOOLMIAMI UNIVERSITY: $6,116 · OtherCOVINGTON CATHOLIC HIGH SCHOOL: $5,823 · Other+1 more: $5,042 · OtherMOUNT ST JOSEPH UNIVERSITY: $18,495 · EducationMOUNT ST JOSEPH UNIV…XAVIER UNIVERSITY: $18,309 · EducationXAVIER UNIVERSITY
Other$164,332Education$36,804

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

25%50%75%100%$100Mgrantee revenue →↑ funder's share of their budgetMOUNT ST JOSEPH UNIVERSITY: $18,495 over 1y, 0.0% of budgetXAVIER UNIVERSITY: $18,309 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 MOUNT ST JOSEPH UNIVERSITY ↗
  • Who funds XAVIER UNIVERSITY ↗

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.

The Greater Cincinnat…CiseJohnson Charitable Gi…Fidelity FoundationDuke Energy FoundationGe Aerospace Foundati…George J Hubert Jr Fo…Cise SgoLeo and Laura Duwel M…Bob & Felicia Burger …The Dayton FoundationCharities Aid Foundat…
The Greater Cincinnati FoundationOH17.2× affinity6 shared granteesties to 11 of 11Hover any node to trace its alignments.Compare side by side →

Open a dossier: The Greater Cincinnati Foundation · Cise · Johnson Charitable Gift Fund · Fidelity Foundation · Duke Energy Foundation · Ge Aerospace Foundation · George J Hubert Jr Foundation Inc · Cise Sgo · Leo and Laura Duwel Memorial Fund · Bob & Felicia Burger Family Foundation · The Dayton Foundation · Charities Aid Foundation America

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 Bless Our Children funds: left to right is the share of its income from government, bottom to top the share from Bless Our Children. 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%4%8%11%15%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 · 0–15%
    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 12 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 2023, released 2023. 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 $255k 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 FY2023, the most recent year this funder named its grantees.

    Source object · view filing

    Play a game based on Bless Our Children’s filings →

    More from the funding graph

    The unnamed billions
    grants reported with no recipient in the public record
    The regranting layer
    51% of grant dollars land in the regranting layer
    The DAF merry-go-round
    $9.7B circulates between donor-advised funds
    The endowment market
    who holds foundation money, and what just moved
    The camps
    funders cluster by geography, not ideology
    By state
    where grant money is based, and what stays home