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Wang Family Foundation at a glance

· Private foundation

Wang 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.

$433k
Granted FY2024still arriving
8
Grants FY2024still arriving
5
States reached
$192k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
05Through PlinthRead
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 2024.

Education$1.3MCrime & Legal$146kScience & Tech$118kPhilanthropy$110kArts & Culture$29kInternational$13kHealth$10kCivil Rights$5k
02FY2024 · 8 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • Under $10k2 grants · $12k
  • $10k–50k3 grants · $46k
  • $50k–250k3 grants · $375k
$26,080
Median grant
5
States reached
$5.0M
Total assets
Largest grants
RecipientAmount
INTERNATIONAL ASSOCIATION OF LAW SCHOOLS$192,007
FIDELITY - DONOR ADVISED FUND$100,000
UC BERKELEY$82,497
MUSEUM TRUSTEE ASSOCIATION$26,080
ASIA SOCIETY$10,000
HARVARD LAW SCHOOL$10,000
KOZMINSKI LAW SCHOOL - BOARD$7,442
ASLI - ASIA LAW INSTITUTE$4,959
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 (FY17–24) land where the poverty rate runs at 14%, against an area that typically sits at 12%. 74% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 12%HARVARD LAW SCHOOL: $10k → 8%Napa Medical Research Founda: $10k → 9%University of California-Berkeley: $71k → 10%ASIA SOCIETY: $10k → 10%International Assoc of Law Schools: $238k → 16%INTERNATIONAL LAW STUDENTS ASSOCIATION: $1k → 14%FRIENDS OF UKRAINIAN JESSUP INC: $5k → 12%ASLI - ASIA LAW INSTITUTE: $5k → 23%MUSEUM TRUSTEE ASSOCIATION: $26k → 19%University of California-Berkeley: $47k → 10%INTERNATIONAL ASSOCIATION OF LAW SCHOOLS: $192k → 16%INTERNATIONAL LAW STUDENTS ASSOCIATION: $1k → 14%MUSEUM TRUSTEE ASSOCIATION: $3k → 19%UC BERKELEY: $82k → 10%International Assoc of Law Schools: $166k → 16%International Law Students Associat: $1k → 14%UC BERKELEY: $74k → 10%INTERNATIONAL ASSOCIATION OF LAW SCHOOLS: $154k → 16%UC BERKELEY: $70k → 10%International Association of Law Sc: $132k → 16%UC Berkeley: $54k → 10%INTERNATIONAL ASSOCIATION OF LAW SCHOOLS: $127k → 16%Cornell Law School: $56k → 16%Cornell Law School: $55k → 16%CORNELL LAW SCHOOL: $32k → 16%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 6% of Wang Family Foundation’s grant dollars are earmarked for a different county than the recipient’s own address.

Wang Family 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
repeat funding

Who it funds again

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

84%of every dollar goes to organizations it has funded before.
$1.5M · 7 repeat orgs$281k to everyone else

7 repeat relationships: 3 still active in FY2024, 4 since wound down; 5 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

7
4

Total granted

$1.5M
$148k

Still filing today

57%
0%

New vs renewed · share of each year

In FY2024, 69% of grant dollars renewed an existing relationship; $132k went to new ones.

50%100%’17’18’21’22’23’24
RenewedFirst-time

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

’17’18’21’22’23’24
EducationInternationalArts & CultureOther
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

  • Cornell University
    3× · 2017–2022 · $143k · revenue +59%
  • MT
    MUSEUM TRUSTEE ASSOCIATION
    2× · 2023–2024 · $29k · revenue +13%
  • IL
    International Law Students Association
    3× · 2021–2023 · $3k · revenue +35%

Funded once

  • IA
    International Association of Law Sc
    one grant, 2021 · $132k
  • NM
    Napa Medical Research Founda
    one grant, 2021 · $10k
  • FO
    FRIENDS OF UKRAINIAN JESSUP INC
    one grant, 2022 · $5k
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
05the grantee network

5 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. 5 of the 16 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)
5/5
Grantees still filing
3/5
Grew since first funded

Where the money sits, by cause and then by grantee

INTERNATIONAL ASSOCIATION OF LAW SCHOOLS: $877,474 · EducationINTERNATIONAL ASSOCIATION OF LAW SCHOOLSCornell University: $143,473 · EducationCornell UniversityUC BERKELEY: $280,595 · OtherUC BERKELEYInternational Association of Law Sc: $132,400 · OtherInternational Association of Law ScUniversity of California-Berkeley: $118,388 · OtherUniversity of California-BerkeleyFIDELITY - DONOR ADVISED FUND: $100,000 · OtherFIDELITY - DONOR ADVISED FUND+7 more: $48,758 · Other+7 moreMUSEUM TRUSTEE ASSOCIATION: $28,580 · Arts & CultureTHE ASIA SOCIETY: $10,000 · InternationalInternational Law Students Association: $3,000 · International
Education$1,020,947Other$680,141Arts & Culture$28,580International$13,000

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

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetINTERNATIONAL ASSOCIATION OF LAW SCHOOLS: $877,474 over 5y, 54% of budgetCornell University: $143,473 over 3y, 0.0% of budgetMUSEUM TRUSTEE ASSOCIATION: $28,580 over 2y, 8.3% of budgetTHE ASIA SOCIETY: $10,000 over 1y, 0.0% of budgetInternational Law Students Association: $3,000 over 3y, 0.2% 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 INTERNATIONAL ASSOCIATION OF LAW SCHOOLS ↗
  • Who funds Cornell University ↗
  • Who funds MUSEUM TRUSTEE ASSOCIATION ↗
  • Who funds THE ASIA SOCIETY ↗
  • Who funds International Law Students Association ↗

How much its grantees rely on government

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

2024
’20’21’22’23’24’25
no gov · 10%4%15%34%60%funder's share of their income ↑0%3%5%8%10%share of the org’s income from government →
    no gov moneyreceives it· size = income
    1get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–10%
    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.
    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Wang Family Foundation?

    Find your warmest path to Wang Family Foundation 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 16 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

    Play a game based on Wang Family’s filings →

    More from the funding graph

    The unnamed billions
    grants reported with no recipient in the public record
    The regranting layer
    51% of grant dollars land in the regranting layer
    The DAF merry-go-round
    $9.7B circulates between donor-advised funds
    The endowment market
    who holds foundation money, and what just moved
    The camps
    funders cluster by geography, not ideology
    By state
    where grant money is based, and what stays home