· Private foundation
Indo- American Foundation Inc
Its FY2025 filing reports that it accepted unsolicited grant applications.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2017–2025.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2025
- $10k–50k1 grant · $40k
- $50k–250k1 grant · $137k
Anchored by a single position — about 98% of reported assets are held in Charles Schawab.
| Recipient | Amount |
|---|---|
| Individual grant recipient | $136,500 |
| TAMIL NADU FOUNDATION USA | $40,000 |
Do your dollars go where the need is?
Each grant placed by the hardship in its grantee’s ZIP, then read against the area’s typical level.
Your US giving — 22% of grant dollars ($139k). The need read here covers only this US portion; the 78% that went abroad ($499k) is mapped below.
Your human-services grants (FY17–19, $2k) land where the poverty rate runs at 14%, against an area that typically sits at 12%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.
Which US states your grants reach
Beyond the US — 78% of all-years giving ($499k)
2 countries, by the recipient’s country on the filing.
US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your giving. International giving is mapped by the recipient’s country from the same 990 filings; comparable need data isn’t available at that grain.
Where the work is directed
The same grants, placed two ways — where each recipient sits, and where its stated purpose earmarks the money.
About 6% of Indo- American Foundation Inc’s grant dollars are earmarked, by their stated purpose, for a different county than the recipient’s own address — money that lands at a nonprofit in one place but is meant to do its work in another.
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 foundation’s own 990 grant descriptions.
Who you back again
Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.
9 repeat relationships — 2 still active in FY2025, 7 since wound down.
How the two cohorts compare
Organizations
Total granted
Median revenue growth · since first grant
Still filing today
New vs renewed · share of each year
In FY2025, 100% of grant dollars renewed an existing relationship; $0 went to new ones.
Where new relationships form · theme of each grantee’s first grant
First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). 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
- IGIndividual grant recipient8× · 2017–2025 · $308k
- TNTAMIL NADU FOUNDATION INC4× · 2022–2025 · $100k · revenue -37%
- BFBHUVANA FOUNDATION2× · 2020–2021 · $7k
Funded once
- ATABBOY TRUSTone grant, 2020 · $130k
- IGIndividual grant recipientone grant, 2021 · $26k
- IGIndividual grant recipientone grant, 2019 · $11k
Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.
The map has a center of gravity: the average direction from the rest of the sector toward the organizations the foundation funds — the shape of its giving. Scoring every nonprofit along that direction surfaces the ones that look most like the portfolio. These are the closest matchesthat aren’t grantees — a resemblance in what they say they do, not a recommendation.
Help poor students in education.
To promote and preserve the Tamil language and culture through educational programs and community-based instruction.
Foster teachings of hindu religion
fund and support rural health and education programs
To provide support for charitable and educational organizations and initiatives in the united states and abroad, including but not limited to organizations and initiatives focused on providing and facilitating access to high quality…
Improve the social and economic conditions of the economically weaker and underprivileged sections of society in India; and improve the literacy rate in villages in India by imparting elementary education to children in these villages
Tamil Academy
ARMMAN USA aims to support ARMMAN India directed towards reducing maternal, child, and neonatal mortality in India by providing financial support, technical support, and internships for professionals in India, forming volunteer groups, and…
Sri Rama Foundation was created to provide a loving home for orphaned and destitute children in India. In 1976 Sri Rama Foundation began funding Anath Shishu Palan Trust of India. Today Sri Ram Ashram is situated on 16 acres of land in the…
For reference, the grantee most central to the portfolio’s shape is Tamil Nadu Foundation Inc and the most unlike its peers is San Marino Schools Foundation. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
8 grantees tracked through their own filings, 2017–2025.
Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.
Counted here: distinct organizations you funded across 2017–2025, not grant rows in a single year — so this will not match the grant count on the cover. 8 of the 27 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.
Where your money sits — by cause, then by grantee
Each org by its size and your share of it — top-left is where you’re load-bearing
Go grantee by grantee — a decade per org, and how each moved after you funded them
A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.
- Who funds TAMIL NADU FOUNDATION INC ↗
- Who funds San Marino Schools Foundation ↗
- Who funds Bhuvana Foundation Tennessee ↗
- Who funds KHAN ACADEMY INC ↗
- Who funds American National Red Cross & Its Constituent Chapters and Branches ↗
- Who funds Sankara Nethralaya OM Trust Inc ↗
- Who funds SRI AHOBILA MUTH INC ↗
- Who funds PRATHAM USA ↗
The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a tightly interlocked camp — most of these funders back each other's grantees too.
Open a dossier: Paypal Charitable Giving Fund · Network for Good · The Bank of America Charitable Foundation Inc · Vanguard Charitable Endowment Program · American Online Giving Foundation Inc · Fidelity Investments Charitable Gift Fund · Donor Advised Charitable Giving Inc · Amazonsmile Foundation
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.
Government reliance of your grantees
Every dot is one organization Indo- American Foundation Inc funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.
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 your grant caused the public funding. Coverage is precision-first — a floor, not 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 12–24 months.