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· Private foundation

Emla Rimelspacher Scholarship Fund Inc

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$53k
Granted FY2025still arriving
29
Grants FY2025still arriving
1
States reached
$8k
Largest
01What you fund
01100% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20202025.

Education$288k
02FY2025 · 29 grants

Where the money goes

Your grants by size, and where they go.

$1,100
Median grant
1
States reached
$878k
Total assets
Largest grants
RecipientAmount
ST MICHAEL SCHOOL$8,400
ST BENEDICT PREPARATORY SCHOOL$6,950
ST JOSEPH SCHOOL$5,700
ST JOSEPH SCHOOL$5,200
ACADEMY OF OUR LADY OF GRACE$3,200
SACRED HEART SCHOOL$1,800
OUR LADY OF SORROWS$1,600
ST JOSEPH THE CARPENTER$1,300
ROSELLE CATHOLIC HIGH SCHOOL$1,200
ST VINCENT ACADEMY$1,200
ACADEMY OF ST PAUL$1,200
DON BOSCO PREPARATORY HIGH SCHOOL$1,200
HUDSON CATHOLIC REGIONAL HIGH SCHOO$1,200
BERGEN CATHOLIC REGIONAL HIGH SCHOO$1,200
ST MARYS HIGH SCHOOL$1,100
02The need
03

Do your dollars go where the need is?

Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.

show:

Dollar for dollar, your grants (FY20–25) land where the poverty rate runs at 6%, against an area that typically sits at 9%. 13% of your dollars go to grantees based in above-average-need neighborhoods. Your grants skew toward lower-need ZIPs.

area typical 9%SEE GENERAL EXPLANATION STATEMENT 13: $55k → 4%OUR LADY OF SORROWS: $2k → 7%ST JOSEPH THE CARPENTER: $1k → 10%ALL SAINTS CATHOLIC ACADEMY: $750 → 14%ST PETERS SCHOOL: $650 → 16%SEE GENERAL EXPLANATION STATEMENT 13: $45k → 4%DON BOSCO PREPARATORY HIGH SCHOOL: $1k → 7%ROSELLE CATHOLIC HIGH SCHOOL: $1k → 10%ST JOSEPH SCHOOL: $5k → 14%SETON HALL PREPARATORY SCHOOL: $600 → 16%SEE GENERAL EXPLANATION STATEMENT 13: $45k → 4%SACRED HEART SCHOOL: $2k → 7%MOTHER SETON REGIONAL HIGH SCHOOL: $600 → 10%HUDSON CATHOLIC REGIONAL HIGH SCHOO: $1k → 14%ST MICHAEL SCHOOL: $8k → 16%SEE GENERAL EXPLANATION STATEMENT 13: $45k → 4%CHRIST THE TEACHER INTERPAROCHIAL S: $400 → 7%SACRED HEART SCHOOL: $900 → 14%ST VINCENT ACADEMY: $1k → 16%SEE GENERAL EXPLANATION STATEMENT 13: $45k → 4%ST MARYS HIGH SCHOOL: $1k → 7%ST DOMINIC ACADEMY: $1k → 14%ST BENEDICT PREPARATORY SCHOOL: $7k → 16%ACADEMY OF ST PAUL: $1k → 7%ST JOSEPH SCHOOL: $6k → 16%BERGEN CATHOLIC REGIONAL HIGH SCHOO: $1k → 7%OUR LADY OF THE LAKE SCHOOL: $850 → 16%ACADEMY OF OUR LADY OF GRACE: $3k → 7%ST CASSIAN SCHOOL: $900 → 16%OUR LADY OF MERCY ACADEMY: $1k → 7%ST PETERS ACADEMY: $500 → 7%QUEEN OF PEACE GRAMMAR SCHOOL: $500 → 7%CORPUS CHRISTI SCHOOL: $400 → 7%ST LEOS SCHOOL: $1k → 7%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.

US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving.

03Your field
04the grantee network

0 grantees tracked through their own filings, 2020–2025.

Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.

Counted here: distinct organizations you funded across 20202025, not grant rows in a single year — so this will not match the grant count on the cover. 0 of the 28 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
0/0
Grantees still filing
0/0
Grew since you first funded

Where your money sits — by cause, then by grantee

SEE GENERAL EXPLANATION STATEMENT 13 — $235,000 · OtherSEE GENERAL EXPLANATION STATEMENT 13ST JOSEPH SCHOOL — $10,900 · Other+26 more — $41,650 · Other+26 more
Other$287,550

Each org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%grantee revenue →↑ your share of their budget
Go grantee by grantee — a decade per org, and how each moved after you funded them

A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.

The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a tightly interlocked camp — most of these funders back each other's grantees too.

James a Pinaire III Foundation IncNJ13.6× affinity4 shared granteesties to 6 of 6Hover any node to trace its alignments.Compare side by side →

Open a dossier: James a Pinaire III Foundation Inc · Chubb Charitable Foundation · Charities Aid Foundation America · National Philanthropic Trust · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · Amazonsmile Foundation

Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.

04Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Emla Rimelspacher Scholarship Fund Inc?

Find your warmest path to Emla Rimelspacher Scholarship Fund Inc 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 directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 28 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your 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. How we build these →

Generated from your IRS Form 990-PF e-file return for fiscal year 2025, released 2025. Filings run roughly 12–24 months behind; figures are dated accordingly.

Source object · view filing

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