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· Private foundation

Jiang Family Foundation Inc

Its FY2023 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$82k
Granted FY2023
9
Grants FY2023
4
States reached
$58k
Largest
01What it funds
0187% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2023.

Education$76kPhilanthropy$58kPublic Benefit$40kCivil Rights$16kScience & Tech$16kCommunity Improvement$7kArts & Culture$2kOther$0
02FY2023 · 9 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2023

  • Under $10k8 grants · $24k
  • $50k–250k1 grant · $58k
$2,400
Median grant
4
States reached
$1.1M
Total assets
Largest grants
RecipientAmount
UC BERKELEY FOUNDATION$58,000
BAY AREA COUNCIL FOUNDATION$6,500
HARVARD UNIVERSITY$5,000
Individual grant recipient$5,000
COMITTEE OF 10$2,400
GEORGETOWN UNIVERSITY$1,500
THE COMPLETED LIFE INITIATIVE$1,500
CHINESE HISTORY MUSEUM$1,000
ASIAN AMERICAN MEDIA$1,000
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:

Its human-services grants (FY23–23, $7k) land where the poverty rate runs at 10%, 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%BAY AREA COUNCIL FOUNDATION: $7k → 10%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 grantees
04Its field
04the grantee network

7 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. 7 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.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
7/7
Grantees still filing
5/7
Grew since first funded

Where the money sits, by cause and then by grantee

UC BERKELEY FOUNDATION: $58,000 · OtherUC BERKELEY FOUNDATIONUC BERKELEY: $55,000 · OtherUC BERKELEYCITIZEN POWER INITIATIVE-CHINA: $40,000 · OtherCITIZEN POWER INITIATIVE-CHINAIndividual grant recipient: $34,000 · OtherIndividual grant recipientIndividual grant recipient: $30,000 · OtherIndividual grant recipientASIANS VOICE OUT INC: $12,000 · Other+3 more: $7,500 · OtherPresident and Fellows of Harvard College: $15,500 · EducationPresident and …THE COLLEGE PREPARATORY SCHOOL: $10,000 · EducationTHE COLLEGE PR…GEORGETOWN UNIVERSITY: $6,500 · EducationGEORGETOWN UNI…Cornell University: $4,000 · EducationCornell Univer…BAY AREA COUNCIL FOUNDATION: $6,500 · Human ServicesCOMMITTEE OF 100 INC: $2,400 · Arts & CultureAsian American Media Inc: $1,000 · Arts & Culture
Other$236,500Education$36,000Human Services$6,500Arts & Culture$3,400

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 budgetPresident and Fellows of Harvard College: $15,500 over 4y, 0.0% of budgetTHE COLLEGE PREPARATORY SCHOOL: $10,000 over 1y, 0.0% of budgetGEORGETOWN UNIVERSITY: $6,500 over 4y, 0.0% of budgetBAY AREA COUNCIL FOUNDATION: $6,500 over 1y, 0.1% of budgetCornell University: $4,000 over 2y, 0.0% of budgetCOMMITTEE OF 100 INC: $2,400 over 1y, 0.1% of budgetAsian American Media Inc: $1,000 over 1y, 0.3% 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 President and Fellows of Harvard College ↗
  • Who funds THE COLLEGE PREPARATORY SCHOOL ↗
  • Who funds GEORGETOWN UNIVERSITY ↗
  • Who funds BAY AREA COUNCIL FOUNDATION ↗
  • Who funds Cornell University ↗
  • Who funds COMMITTEE OF 100 INC ↗
  • Who funds Asian American Media Inc ↗

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 set of overlaps that mostly run through this funder rather than between each other.

Fidelity Investments Charitable Gift FundMA4.7× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Fidelity Investments Charitable Gift Fund

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.

How much its grantees rely on government

Each dot is one organization Jiang Family Foundation Inc funds: left to right is the share of its income from government, bottom to top the share from Jiang Family Foundation Inc. 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%4%8%11%15%share of the org’s income from government →median 7%
  • President and Fellows of Harvard College: 7% of 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 · 0–15%
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 Jiang Family Foundation Inc?

Find your warmest path to Jiang Family 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 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 2023, released 2023. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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