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· Public charity

Tomchei Shabbos D'Lakewood Inc

Provision of food packages and similar assistance to the needy.

$284k
Granted FY2024still arriving
10
Grants FY2024still arriving
2
States reached
$18k
Largest
01What you fund
0196% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20202024.

Religion$2.4MEducation$13kHuman Services$10kOther$0
02FY2024 · 10 grants

Where the money goes

Your grants by size, and where they go.

The 10 grants below total $114,358 — the rows itemised in this filing. The $283,688 headline is the total grant expense reported on the return, so the remaining $169,330 is giving the schedule does not break out: grants under the $5,000 itemisation floor, grants to individuals, and grants reported on other schedules. Every figure below describes the itemised rows only.

By grant size · FY2024

  • Under $10k4 grants · $30k
  • $10k–50k6 grants · $84k
$12,000
Median grant
2
States reached
$10M
Total assets
Largest grants
RecipientAmount
CONGREGATION BINAS YOSEF INC$18,000
CONGREGATION KEREN HAGEMACH$16,500
VARIOUS$13,958
CONGREGATION TOLDOS YEHUDA$13,300
CONGREGATION MIKVA TOBA OF LAKEWOOD$12,000
YAD YESHAYA INC$10,600
CONGREGATION BAIS ELIMELECH INC$8,000
CONGREGATION ZICHRON DOVID$8,000
THE TZUR FOUNDATION$8,000
YESHIVA TORAS ARON INC$6,000
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:

Your human-services grants (FY22–22, $10k) land where the poverty rate runs at 11%, against an area that typically sits at 14%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Your grants skew toward lower-need ZIPs.

area typical 14%KEREN SIMCHAS CHAIM INC: $10k → 11%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 edge
repeat funding

Who you back again

Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.

92%of every dollar goes to organizations you’ve funded before.
$2.2M · 5 repeat orgs$196k to everyone else

5 repeat relationships — 2 still active in FY2024, 3 since wound down; 8 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

5
8

Total granted

$2.2M
$113k

Still filing today

0%
25%

New vs renewed · share of each year

In FY2024, 27% of grant dollars renewed an existing relationship; $83k went to new ones.

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

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

’20’21’22’23’24
Human ServicesReligionEducationOther

First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). 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

  • CT
    CONGREGATION TOMCHEI SHABBOS INC
    3× · 2020–2023 · $1.8M
  • CT
    CONGREGATION TIFERES SHULEM INC
    2× · 2022–2023 · $318k
  • CT
    CONGREGATION TIFERES MORDECHAI INC
    2× · 2022–2023 · $59k

Funded once

  • CS
    CHASIDEI SKULEN DE-LAKEWOOD INC
    one grant, 2023 · $30k
  • CS
    CONGREGATION SHTEIBEL INC
    one grant, 2022 · $15k
  • CG
    CONGREGATION GATES OF MERCY
    one grant, 2023 · $15k

Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.

04Your field
04the grantee network

4 grantees tracked through their own filings, 2017–2025.

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 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 4 of the 21 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)
1
Early backer (in before they grew)
4/4
Grantees still filing
2/4
Grew since you first funded

Where your money sits — by cause, then by grantee

CONGREGATION TOMCHEI SHABBOS INC — $1,750,000 · OtherCONGREGATION TOMCHEI SHABBOS INCCONGREGATION TIFERES SHULEM INC — $317,693 · OtherCONGREGATION TIFERES SHULEM INC+16 more — $300,260 · Other+16 moreKEREN SIMCHAS CHAIM INC — $10,000 · Human ServicesTZUR FOUNDATION INC — $8,000 · ReligionYESHIVA TORAS ARON INC — $6,000 · Education
Other$2,367,953Human Services$10,000Religion$8,000Education$6,000

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

25%50%75%100%$10Mgrantee revenue →↑ your share of their budgetBEER HAGOLAH INSTITUTES INC — $14,200 over 1y, 0.2% of budgetTZUR FOUNDATION INC — $8,000 over 1y, 0.0% of budgetYESHIVA TORAS ARON INC — $6,000 over 1y, 0.1% of 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.

  • Who funds BEER HAGOLAH INSTITUTES INC
  • Who funds KEREN SIMCHAS CHAIM INC
  • Who funds TZUR FOUNDATION INC
  • Who funds YESHIVA TORAS ARON INC

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.

The Ojc FundNY24× affinity11 shared granteesties to 7 of 7Hover any node to trace its alignments.Compare side by side →

Open a dossier: The Ojc Fund · Donors Fund Inc · Jewish Communal Fund · The Sorala Foundation · Vanguard Charitable Endowment Program · Fidelity Investments Charitable Gift Fund · Donor Advised Charitable Giving Inc · 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.

Government reliance of your grantees

Every dot is one organization Tomchei Shabbos D'Lakewood Inc funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal, a single department, or state — and drag the year to watch it move.

2024
202122232425
no gov · 20%0%1%3%5%your share of their income ↑0%3%5%8%10%share of the org’s income from governmentmedian 8%
  • Yeshiva Toras Aron Inc8% of income from government
no gov moneyreceives it· size = income
2get 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 · 0–10%
typical government reliance, FY2025

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 your grant caused the public funding. Coverage is precision-first — a floor, not 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 12–24 months.

05Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Tomchei Shabbos D'Lakewood Inc?

Find your warmest path to Tomchei Shabbos D'Lakewood 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 21 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 e-file return for fiscal year 2024, released 2024. Filings run roughly 12–24 months behind; figures are dated accordingly.

Source object · view filing

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