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California · Private foundation

The Hong Zhang & Liya Liang Foundation

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$5k
Granted FY2025(still arriving)
3
Grants FY2025
5
Organizations funded FY2024
60%
First-time grantees FY2024
Read the full brief
Median grant, FY2025
$2,250
Largest grant, FY2025
$2,500
Organizations funded a year
1 to 5
FY2018 to FY2024
States reached, FY2025
3
Total assets, FY2025
$902k
Applications
Preselected organizations only
Per its most recent filing; check its own site

How open it is to new grantees

In FY2024, 60% of the organizations The Hong Zhang & Liya Liang Foundation funded were first-time grantees, receiving 5% of its grant dollars.

New vs renewed · share of each year

In FY2024, 95% of grant dollars renewed an existing relationship; $6k 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
EducationPhilanthropyInternationalHealthScience & TechOther
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.
The numbers by year
Fiscal yearOrganizations fundedTo those organizationsFirst-time grantees
FY2025still arriving3$5k67%
FY20245$118k60%
FY20232$16k0%
FY20222$8k50%
FY20214$43k75%
FY20201$60k0%
FY20193$63k33%
FY20181$63k100%
100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2025.

Philanthropy$372kEducation$57kHealth$3kArts & Culture$2kScience & Tech$1kCrime & Legal$100

Top grantees

Largest recipients by total granted, FY2017 to FY2025, and the share of each one’s budget the grants supplied at peak.

Show all 12 grantees
All grantees of The Hong Zhang & Liya Liang Foundation by total granted
GranteeTotal grantedYearsShare of their budget
Stony Brook Foundation Inc$280,00040%
Peach Foundation$92,25062%
The Harker School$35,00010%
English Language Institute in China$15,00020%
The Soar Foundation$3,25020%
Be the Change Foundation Inc$3,00012%
The Fessenden School$2,50010%
Groton Historical Society$2,00012%
Middlesex School$1,00010%
Tech for Good Inc$1,0001n/a
The Overlake School$50010%
Santa Clara County Peace Officers Association$10010%

Where it is load-bearing

Each grantee by its size and the share of its budget The Hong Zhang & Liya Liang Foundation supplied at peak.

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetStony Brook Foundation Inc: $280,000 over 4y, 0.1% of budgetPeach Foundation: $92,250 over 6y, 2.1% of budgetThe Harker School: $35,000 over 1y, 0.0% of budgetEnglish Language Institute in China: $15,000 over 2y, 0.1% of budgetThe Soar Foundation: $3,250 over 2y, 0.1% of budgetBe the Change Foundation Inc: $3,000 over 1y, 2.2% of budgetThe Fessenden School: $2,500 over 1y, 0.0% of budgetGroton Historical Society: $2,000 over 1y, 1.6% of budgetMiddlesex School: $1,000 over 1y, 0.0% of budgetThe Overlake School: $500 over 1y, 0.0% of budgetSanta Clara County Peace Officers Association: $100 over 1y, 0.1% of budget

Tap a dot to name the grantee.

How this is measured
Share of budget is the funder’s grant in a year over the grantee’s total revenue that year, at its highest across the years we hold; revenue is from all sources. Only grantees confirmed against their own filings, whose grants do not exceed their revenue, are plotted: the largest 11.

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a tightly interlocked group: most of these funders back each other's grantees too.

The Blackbaud Giving FundSC11.3× affinity5 shared granteesties to 5 of 5Hover any node to trace its alignments.Compare side by side →

Open a dossier: The Blackbaud Giving Fund · Vanguard Charitable Endowment Program · American Online Giving Foundation Inc · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · Amazonsmile Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

Compare The Hong Zhang & Liya Liang Foundation with peer funders

About The Hong Zhang & Liya Liang Foundation

How much does The Hong Zhang & Liya Liang Foundation give?
The Hong Zhang & Liya Liang Foundation reported 3 grants totaling $5,250 in its FY2025 IRS filing. It funded between 1 and 5 organizations a year over FY2018 to FY2024.
What does The Hong Zhang & Liya Liang Foundation fund?
By grant dollars over FY2017 to FY2025, its largest causes are Philanthropy (85%), Education (13%), Health (1%).
Who are The Hong Zhang & Liya Liang Foundation's largest grantees?
By total granted over FY2017 to FY2025: Stony Brook Foundation Inc ($280k), Peach Foundation ($92k), The Harker School ($35k).
Does The Hong Zhang & Liya Liang Foundation fund new organizations?
In FY2024, 60% of the organizations it funded were first-time grantees.
Does The Hong Zhang & Liya Liang Foundation accept unsolicited applications?
Its most recent filing reports that it funds preselected organizations and does not take unsolicited requests. Check the foundation's own site before ruling it out.
Which funders back the same organizations as The Hong Zhang & Liya Liang Foundation?
Its strongest co-funders, measured against what their size predicts, include The Blackbaud Giving Fund, Vanguard Charitable Endowment Program, American Online Giving Foundation Inc.
Where is The Hong Zhang & Liya Liang Foundation based?
The Hong Zhang & Liya Liang Foundation is based in CA.

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 12 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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