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· Public charity

Alumni of the Rabbinical College Knesseth Israel of Slabodka Kowna

To provide funds for our institution of higher learning, and to support the rabbis and students.

$3.4M
Granted FY2019
3
Grants FY2019
2
States reached
$20k
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 2019.

Religion$51kEducation$20k
02FY2019 · 3 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 3 grants below total $41,500, the rows itemized in this filing. The $3,380,534 headline is the total grant expense on the return; the other $3,339,034 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 · FY2019

  • Under $10k1 grant · $8k
  • $10k–50k2 grants · $34k
$13,500
Median grant
2
States reached
$341k
Total assets
Largest grants
RecipientAmount
THE PRESS FOUNDATION$20,000
MEOR YITZCHOK$13,500
CONG ZICHRON YISROEL$8,000
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:

Dollar for dollar, its grants (FY17–19) land where the poverty rate runs at 18%, against an area that typically sits at 13%. 89% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 13%MEOR YITZCHOK: $14k → 14%CONG MASSE ROKEACH: $10k → 20%CONG ZICHRON YISROEL: $8k → 11%DARKEI YOISUER CENTER: $8k → 20%THE PRESS FOUNDATION: $20k → 20%TALMID TORAH MEVAKSEI HASHEM: $6k → 20%YESHIVA KEHILATH YAKOV: $6k → 20%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.

Grants abroad, by region: $3.3M on the FY2019 return

Schedule F, as filed: 1 region. The IRS asks for region and purpose, not the recipient, so no country or grantee can be named here.

Middle East and North Africa$3.3M · 100% · 1 grant

Stated purpose: GENERAL SUPPORT

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. Grants abroad on Schedule F are filed by region, purpose and amount with no recipient name, so they are shown by region and cannot be placed on the country map or matched to a grantee.
03Its field
04the grantee network

0 grantees tracked through their own filings, 2017–2019.

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 2019, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 7 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

THE PRESS FOUNDATION OF AMERICA: $20,000 · OtherTHE PRESS FOUNDATION OF AMERICAMEOR YITZCHOK INC: $13,500 · OtherMEOR YITZCHOK INCCONG MASSE ROKEACH: $10,000 · OtherCONG MASSE ROKEACHCONGREGATION ZICHRON YISROEL INC: $8,000 · OtherCONGREGATION ZICHRON YISROEL INCDARKEI YOISUER CENTER: $7,500 · OtherDARKEI YOISUER CENTERMEVAKSHAI HASHEM: $6,000 · OtherMEVAKSHAI HASHEMYESHIVATH KEHILATH YAKOV INC: $6,000 · OtherYESHIVATH KEHILATH YAKOV INC
Other$71,000

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.

The Ojc FundNY16.6× affinity6 shared granteesties to 2 of 2Hover any node to trace its alignments.Compare side by side →

Open a dossier: The Ojc Fund · National Philanthropic Trust · Fidelity Investments Charitable Gift Fund

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

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How do I get to Alumni of the Rabbinical College Knesseth Israel of Slabodka Kowna?

Find your warmest path to Alumni of the Rabbinical College Knesseth Israel of Slabodka Kowna 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 7 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 2019, released 2019. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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