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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 it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2025.

Education$288k
02FY2025 · 29 grants

Where the money goes

Grants by size, and the largest recipients.

$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
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
ROSELLE CATHOLIC HIGH SCHOOL$1,200
ST VINCENT ACADEMY$1,200
ST MARYS HIGH SCHOOL$1,100
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 (FY20–25) land where the poverty rate runs at 6%, against an area that typically sits at 9%. 13% of its dollars go to grantees based in above-average-need neighborhoods. Its 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
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

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

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2020 to 2025, 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.

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)
0/0
Grantees still filing
0/0
Grew since first funded

Where the money sits, by cause and 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 grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%grantee revenue →↑ funder's share of their 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.

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.

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

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.
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 from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 28 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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