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· Private foundation

Jacob E Teitelbaum Family Foundation

Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$6k
Granted FY2024still arriving
7
Grants FY2024still arriving
5
States reached
$2k
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, FY2018 to 2024.

International$30kEducation$16kFood & Nutrition$12kEnvironment$5kReligion$4kCrime & Legal$4kArts & Culture$1kHealth$150Other$0
02FY2024 · 7 grants

Where the money goes

Grants by size, and the largest recipients.

$750
Median grant
5
States reached
$15k
Total assets
Largest grants
RecipientAmount
Individual grant recipient$1,800
Hawaii Food Bank$1,540
Innocence Project$1,200
Individual grant recipient$750
American Botanical Council$600
Intl Campaign For Tibet$360
SEVA Foundation$180
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:

Its human-services grants (FY22–24, $4k) land where the poverty rate runs at 17%, against an area that typically sits at 10%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%Innocence Project: $1k → 17%Innocence Project: $1k → 17%Innocence Project: $1k → 17%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.

Which US states its grants reach

NY
OH
CA
MO
MD
DC
HI
TX
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 grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

98%of every dollar goes to organizations it has funded before.
$71k · 10 repeat orgs$2k to everyone else

10 repeat relationships: 7 still active in FY2024, 3 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

10
7

Total granted

$71k
$2k

Still filing today

60%
0%

New vs renewed · share of each year

In FY2024, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’18’19’20’21’22’23’24
RenewedFirst-time

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

’18’19’20’21’22’23’24
InternationalFood & NutritionHealthHuman ServicesOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). 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

  • IR
    International Rescue Committee INC
    6× · 2018–2023 · $25k · revenue +80%
  • HF
    HAWAII FOODBANK INC
    7× · 2018–2024 · $12k · revenue +107%
  • AB
    American Botanical Council
    6× · 2018–2024 · $5k · revenue +28%

Funded once

  • WU
    Washington University Scholarship F
    one grant, 2019 · $500
  • AT
    Aloha Theater Arts Fund
    one grant, 2018 · $500
  • A
    AIHM
    one grant, 2019 · $345
How this is measured

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

04Its field
04the grantee network

6 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. 6 of the 17 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)
1
Early backer (in before they grew)
6/6
Grantees still filing
5/6
Grew since first funded

Where the money sits, by cause and then by grantee

International Rescue Committee INC: $25,130 · InternationalInternational Rescue Committee INCINTERNATIONAL CAMPAIGN FOR TIBET: $2,700 · InternationalINTERNATIONAL CAMPAIGN FOR TIBETSEVA FOUNDATION: $2,540 · InternationalSEVA FOUNDATIONIndividual grant recipient: $9,358 · OtherIndividual grant recipientABJDS: $6,200 · OtherABJDSIndividual grant recipient: $3,914 · OtherIndividual grant recipient+8 more: $2,210 · Other+8 moreHAWAII FOODBANK INC: $12,480 · Food & NutritionHAWAII FOODBANK INCAmerican Botanical Council: $4,600 · HealthTHE INNOCENCE PROJECT INC: $3,600 · Human Services
International$30,370Other$21,682Food & Nutrition$12,480Health$4,600Human Services$3,600

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

25%50%75%100%$10M$100Mgrantee revenue →↑ funder's share of their budgetInternational Rescue Committee INC: $25,130 over 6y, 0.0% of budgetHAWAII FOODBANK INC: $12,480 over 7y, 0.0% of budgetAmerican Botanical Council: $4,600 over 6y, 0.1% of budgetTHE INNOCENCE PROJECT INC: $3,600 over 3y, 0.0% of budgetINTERNATIONAL CAMPAIGN FOR TIBET: $2,700 over 7y, 0.0% of budgetSEVA FOUNDATION: $2,540 over 5y, 0.0% 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 International Rescue Committee INC ↗
  • Who funds HAWAII FOODBANK INC ↗
  • Who funds American Botanical Council ↗
  • Who funds THE INNOCENCE PROJECT INC ↗
  • Who funds INTERNATIONAL CAMPAIGN FOR TIBET ↗
  • Who funds SEVA FOUNDATION ↗

How much its grantees rely on government

Each dot is one organization Jacob E Teitelbaum Family Foundation funds: left to right is the share of its income from government, bottom to top the share from Jacob E Teitelbaum Family Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%10%20%30%40%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–40%
    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 17 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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