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· Public charity

Shavey Yitzchak Inc

This activity will strive to expand and ensure the religious as well as cultural knowledge of the community by encouraging and organizing conferences, lectures and other activities in order to increase their understanding of the orthodox Jewish religion.

$470k
Granted FY2023
1
Grants FY2023
—
States reached
$467k
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 2023.

Religion$1.2M
02FY2023 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

$466,926
Median grant
—
States reached
$1k
Total assets
Largest grants
RecipientAmount
TIFARET GABRIEL$466,926
02The need
03

Where the grant dollars land

Across the US and around the world.

US giving: 0% of grant dollars ($0). The 100% that went abroad ($1.2M) is mapped below.

Beyond the US: 100% of all-years giving ($1.2M)

1 country, by the recipient’s country on the filing.

grant dollars sentlessmore
Israel$1.2M · 4 grants
How this is measured
International giving is mapped by the recipient’s country from the same 990 filings; comparable need data isn’t available at that grain.
03Its field
04the grantee network

0 grantees tracked through their own filings, 2020–2023.

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 2023, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 1 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

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.

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 1 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.

Source object · view filing

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