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· Public charity

Samuel Frankel and Jean Frankel Support Foundation

To support the jewish community and the community as a whole.

$33M
Granted FY2022
2
Grants FY2022
1
States reached
$33M
Largest

Read this first · the figures below need context

99% of Samuel Frankel and Jean Frankel Support Foundation’s FY2022 grant dollars went to United Jewish Foundation, not to grantees.

Its money now reaches organizations through that sponsor, which does not report who recommended each grant. FY2022 names 1 organization directly, so a portfolio cannot be read from it.

Organizations named directly on the return

4
’17
4
’18
4
’19
4
’20
1
’21
1
’22

Amber years are those where most dollars went to a sponsor.

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 2022.

Philanthropy$41MEducation$2.8MReligion$1.2M
02FY2022 · 2 grants

Where the money goes

Grants by size, and the largest recipients.

$32,503,505
Median grant
1
States reached
$0
Total assets
Largest grants
RecipientAmount
UNITED JEWISH FOUNDATION$32,503,505
ADAT SHALOM SYNAGOGUE$450,000
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 (FY17–22) land where the poverty rate runs at 8%, against an area that typically sits at 6%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 6%UNITED JEWISH FOUNDATION: $32.5M → 8%UNIVERSITY OF MICHIGAN: $1.3M → 14%JEWISH FEDERATION OF METROPOLITAN DETROIT: $3.2M → 8%UNIVERSITY OF MICHIGAN-CS MOTT: $73k → 14%JEWISH FEDERATION OF METROPOLITAN DETROIT: $2.9M → 8%UNIVERSITY OF MICHIGAN-CS MOTT: $69k → 14%JEWISH FEDERATION OF METROPOLITAN DETROIT: $626k → 8%UNIVERSITY OF MICHIGAN-CS MOTT: $67k → 14%JEWISH FEDERATION OF METROPOLITAN DETROIT: $625k → 8%UNIVERSITY OF MICHIGAN-CS MOTT: $66k → 14%JEWISH FEDERATION OF METROPOLITAN DETROIT: $625k → 8%UNIVERSITY OF MICHIGAN-CS MOTT: $62k → 14%UNITED JEWISH FOUNDATION: $500k → 8%UNITED JEWISH FOUNDATION: $50k → 8%ADAT SHALOM SYNAGOGUE: $450k → 8%ADAT SHALOM SYNAGOGUE: $112k → 8%CONGREGATION SHIR TIKVAH: $242k → 8%ADAT SHALOM SYNAGOGUE: $108k → 8%CONGREGATION SHIR TIKVAH: $16k → 8%ADAT SHALOM SYNAGOGUE: $104k → 8%CONGREGATION SHIR TIKVAH: $15k → 8%ADAT SHALOM SYNAGOGUE: $99k → 8%CONGREGATION SHIR TIKVAH: $15k → 8%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.
04

Where the work is directed

The same grants placed two ways: where each recipient sits, and where its stated purpose sends the money.

About 74% of Samuel Frankel and Jean Frankel Support Foundation’s grant dollars are earmarked for a different county than the recipient’s own address.

Samuel Frankel and Jean Frankel Support Foundationlessmore of its giving
Placed by recipient address
How this is measured
Recipient view: each grant at its grantee’s ZIP, mapped to a county. Directed view: each grant at the county its stated purpose names, falling back to the recipient’s county when the purpose names no place; US grants only. A county shows only if it carries the top 95% of that view’s dollars. Purposes are read from the funder’s own 990 grant descriptions.
03Its grantees
04Its field
05the grantee network

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

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 2025, not grant rows in a single year, so this will not match the grant count on the cover. 3 of the 6 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.

1
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
3/3
Grantees still filing
2/3
Grew since first funded

Where the money sits, by cause and then by grantee

UNITED JEWISH FOUNDATION: $33,053,505 · PhilanthropyUNITED JEWISH FOUNDATIONJEWISH FEDERATION OF DETROIT: $7,970,950 · PhilanthropyJEWISH FEDERATION OF DETROITREGENTS OF THE UNIVERSITY OF MICHIGAN: $1,674,578 · OtherADAT SHALOM SYNAGOGUE: $873,545 · OtherCONGREGATION SHIR TIKVAH: $287,213 · OtherTHE WALSH COLLEGE FOUNDATION: $1,138,864 · Education
Philanthropy$41,024,455Other$2,835,336Education$1,138,864

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$10Mgrantee revenue →↑ funder's share of their budgetUNITED JEWISH FOUNDATION: $33,053,505 over 3y, 33% of budgetJEWISH FEDERATION OF DETROIT: $7,970,950 over 5y, 5.7% of budgetTHE WALSH COLLEGE FOUNDATION: $1,138,864 over 4y, 8.2% of 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.

  • Who funds UNITED JEWISH FOUNDATION ↗
  • Who funds JEWISH FEDERATION OF DETROIT ↗
  • Who funds THE WALSH COLLEGE FOUNDATION ↗

How much its grantees rely on government

Each dot is one organization Samuel Frankel and Jean Frankel Support Foundation funds: left to right is the share of its income from government, bottom to top the share from Samuel Frankel and Jean Frankel Support Foundation. Bigger dots raise more.

2025
’20’21’22’23’24’25
no gov · 00%6%25%56%100%funder's share of their income ↑0%1%3%4%5%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get 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 · 0–5%
    typical government reliance, FY20–25
    How this is measured
    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 a grant caused the public funding. Coverage is precision-first, a floor rather than 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 to 24 months.

    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 6 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 2022, released 2022. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2025) is on record and reports no grant expense, so the figures above are from FY2022, the most recent year this funder made grants.

    Source object · view filing

    Play a game based on Samuel Frankel and Jean Frankel Support’s filings →

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