· Private foundation
Singal Family 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.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2020–2025.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2025
- Under $10k18 grants · $51k
- $50k–250k1 grant · $75k
| Recipient | Amount |
|---|---|
| PRATHAM USA | $75,000 |
| ASSOCIATION FOR INDIAS DEVELOPMENT INC | $7,000 |
| VIRGINIA TECH FOUNDATION INC | $5,626 |
| EKAL VIDYALAYA FOUNDATION OF USA | $5,000 |
| ASHA FOR EDUCATION | $5,000 |
| THE AKSHAYA PATRA FOUNDATION USA | $5,000 |
| INDIANS FOR COLLECTIVE ACTION | $4,000 |
| TEACH FOR INDIA US | $3,000 |
| BAPS CHARITIES INC | $2,501 |
| DESAI FOUNDATION | $2,000 |
| CHILDREN'S HOPE INDIA | $2,000 |
| AMERICAN FRIENDS OF HELPAGE INDIA INC | $2,000 |
| LIBERTY SCIENCE CENTER | $1,327 |
| VRAJ | $1,152 |
| BRAHMA KUMARIS WORLD SPIRITUAL ORGANIZATION | $1,001 |
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 human-services grants (FY22–25, $34k) land where the poverty rate runs at 16%, against an area that typically sits at 10%. 96% 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
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.
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.
And the relationships you keep tend to grow: grantees you re-up on have seen median revenue of +17% since the first grant, against 0% for the ones you funded once.
16 repeat relationships — 11 still active in FY2025, 5 since wound down; 7 grantees were first funded in FY2025 (too recent to call).
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, 85% of grant dollars renewed an existing relationship; $19k 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
- PUPRATHAM USA4× · 2022–2025 · $203k · revenue +9%
- AFASSOCIATION FOR INDIAS DEVELOPMENT INC4× · 2022–2025 · $29k · revenue +17%
GIRLS WHO CODE INC3× · 2022–2024 · $25k · revenue +8%
Funded once
- MCMOBILE CRECHES FOR WORKING MOTHERS' CHILDRENone grant, 2022 · $5k
Northwestern Universityone grant, 2022 · $5k · revenue +4%- IKIIT KANPUR FOUNDATIONone grant, 2022 · $2k
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.
The american india foundation(aif) is a nonprofit american development organization that is devoted to accelerating social and economic change in india.
Organization mission the observer research foundation america orf america is an independent, non-partisan, and nonprofit organization in washington dc dedicated to addressing policy challenges facing the united states, india, and their…
Empowering mobilizers like teach for india with intellectual, human, and financial resources to eliminate educational inequity in india.
The mission of ja africa is to inspire and prepare young people in africa to succeed in a global economy.
The specific purpose, mission, and activity of the corporation is to secure funding for promoting education, research, technology development, startup incubation, acceleration, and translational research at the indian institute of science…
Advance science, engineering, and innovation throughout the world for the benefit of all. the world's largest multidisciplinary scientific society and a leading publisher of cutting-edge research through its science family of journals,…
Improve excellence and access in higher education. Current focus is on India. Thus, Nalanda 2.0's current focus is to make India's higher education system world-class by building a world-class multidisciplinary research university,…
Actionaid is an international network building a just, equitable, and sustainable world in solidarity with communities on the frontlines of poverty and injustice. actionaid usa is the u.s. branch of actionaid international, which works in…
To provide multi-specialty surgical care, humanitarian aid and educational support to people in low- and middle-income countries.
To support educational opportunities for underserved children in india, and raising support for and awareness of such activities in the united states.
DDL`s Work is designed to widen public access to and use of economic, demographic and physical data that describes, defines and seeks to alleviate poverty, especially in the developing world
The asia foundation (taf) is an international nonprofit organization working to solve the toughest social and economic challenges in asia and the pacific. (continued on schedule o)
For reference, the grantee most central to the portfolio’s shape is Girls Who Code Inc and the most unlike its peers is Liberty Science Center. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
For each theme you fund, this compares how the sector’s money is shifting with how your own giving is shifting.
Sector change and giving change are each shown relative to their own range, growing (right) or shrinking (left); both normalized, so inflation isn’t mistaken for growth.
Your grantees are a median of 28 years old; the field is 16. You back the established end — and your money leans older still.
The field is 22% startups (under 5 years old) — 0% of your grantees by number, and just 0% of your money.
The orgs you fund almost never close — 0.0% lost their exemption, against 13% of the field you don’t fund.
Age = years since IRS exemption (a founding proxy). “Closed” = auto-revocation for 3 years of non-filing — a floor on closure, not proof, and bigger established orgs lapse least. Association, not causation.
32 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. 32 of the 49 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 PRATHAM USA ↗
- Who funds VIRGINIA TECH FOUNDATION INC ↗
- Who funds ASSOCIATION FOR INDIAS DEVELOPMENT INC ↗
- Who funds GIRLS WHO CODE INC ↗
- Who funds EKAL VIDYALAYA FOUNDATION OF USA ↗
- Who funds Asha for Education ↗
- Who funds CHARITIES AID FOUNDATION AMERICA ↗
- Who funds AMERICAN LUNG ASSOCIATION ↗
- Who funds AKSHAYA PATRA FOUNDATION (USA) ↗
- Who funds Northwestern University ↗
- Who funds INDIANS FOR COLLECTIVE ACTION ↗
- Who funds THE CITIZENS FOUNDATION USA ↗
- Who funds BAPS CHARITIES INC ↗
- Who funds WIKIMEDIA FOUNDATION INC ↗
- Who funds CHILDREN'S HOPE INDIA LLC ↗
- Who funds DESAI FOUNDATION ↗
- Who funds AMERICAN FRIENDS OF HELPAGE INDIA INC ↗
- Who funds LIBERTY SCIENCE CENTER ↗
- Who funds National Parents Organization Inc ↗
- Who funds PYTHON SOFTWARE FOUNDATION ↗
- Who funds EQUAL JUSTICE INITIATIVE ↗
- Who funds MEDECINS SANS FRONTIERES USA INC ↗
- Who funds WORLD WILDLIFE FUND INC ↗
- Who funds GLOBALGIVING FOUNDATION INC ↗
- Who funds The New York Public Library Astor Lenox and Tilden Foundations ↗
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: Bright Funds Foundation · Morgan Stanley Global Impact Funding Trust Inc · Tarsadia Foundation · United Way Worldwide · Globalgiving Foundation Inc · Salesforce Foundation · Jpmorgan Chase Foundation · The Bank of America Charitable Foundation Inc · Texas Instruments Foundation · Network for Good · Shell USA Company Foundation · Silicon Valley Community 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 Singal Family Foundation 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, a single department, or state — and drag the year to watch it move.
- Liberty Science Center — 14% of income from government
- Python Software Foundation — 0% of income from government
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.