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· Private foundation

Chaim Mayer Foundation Inc

Its FY2017 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$70k
Granted FY2017
20
Grants FY2017
3
States reached
$19k
Largest
01What it funds
01FY2017 · 20 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2017

  • Under $10k17 grants · $30k
  • $10k–50k3 grants · $40k
$1,000
Median grant
3
States reached
$150
Total assets
Largest grants
RecipientAmount
CONG BAIS MORDECHAI$19,000
CONG KHAL TORAS CHAIM$11,320
OHR OLAM$10,000
Individual grant recipient$5,500
Individual grant recipient$5,000
Individual grant recipient$5,000
Individual grant recipient$3,200
Individual grant recipient$2,000
Individual grant recipient$2,000
Individual grant recipient$1,000
CONG AHAVAS YISROEL$1,000
CHAMAH$1,000
Individual grant recipient$1,000
Individual grant recipient$1,000
Individual grant recipient$500
02The need
02

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 (FY17–17) land where the poverty rate runs at 16%, against an area that typically sits at 12%. 73% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 12%CONG AHAVAS YISROEL: $1k → 13%CONG KHAL TORAS CHAIM: $11k → 14%VIZINITZ INSTITUTIONS INC: $500 → 16%CHAMAH: $1k → 17%CONG BAIS MORDECHAI: $19k → 20%OHR OLAM: $10k → 11%CONG TIFERETH ISRAEL: $6k → 19%MESIVTA MEOR YOTZCHOK: $2k → 14%MESIFTA TIFERETH JERUSALEM: $500 → 17%YESHOIS MOSHE VIZNITZ: $500 → 20%MOSHE KONIG: $5k → 11%CONG MOSDOS ZVHILLE: $1k → 14%MOSDOS CHASIDEI SQUARE: $100 → 20%CHEZKEL LANDAU: $3k → 11%YISA BROCHA: $1k → 20%KEREN HALBASHA: $500 → 11%SOLOMON GOLDENBERG: $5k → 20%ZICHRON MENASHE CHAIM: $1k → 20%NISHMAS ISRAEL: $180 → 20%OHELI TORAH: $2k → 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.
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
03the grantee network

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

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 2017, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 20 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

CONG BAIS MORDECHAI: $19,000 · OtherCONG BAIS MORDECHAICONG KHAL TORAS CHAIM: $11,320 · OtherCONG KHAL TORAS CHAIMOHR OLAM: $10,000 · OtherOHR OLAMIndividual grant recipient: $5,500 · OtherIndividual grant recipientIndividual grant recipient: $5,000 · OtherIndividual grant recipientIndividual grant recipient: $5,000 · OtherIndividual grant recipientIndividual grant recipient: $3,200 · Other+13 more: $11,280 · Other+13 more
Other$70,300

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.

04Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Chaim Mayer Foundation Inc?

Find your warmest path to Chaim Mayer Foundation 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 20 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 2017, released 2017. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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