· Private foundation
Aurora 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
By grantee IRS cause code (NTEE).
A cause breakdown isn’t shown here: 64% of AURORA FAMILY FOUNDATION’s grantee dollars fall outside its nine largest cause areas, whether because the recipient carries no IRS cause code or because its cause sits in the long tail. A chart would be mostly one residual band and misrepresent the portfolio.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2025
- Under $10k12 grants · $36k
- $10k–50k1 grant · $10k
| Recipient | Amount |
|---|---|
| SANKARA EYE FOUNDATION USA | $10,000 |
| Individual grant recipient | $8,205 |
| The McLean Crew Club | $5,100 |
| Kibir Desta Medical Foundation | $5,000 |
| NETWORK FOR GOOD | $5,000 |
| SEVATRUCK FOUNDATION | $5,000 |
| SPARSH | $3,000 |
| GLOBAL FUND FOR CHILDREN | $2,000 |
| Durga Temple of Virginia | $1,353 |
| New Futures | $501 |
| GoFundMe | $500 |
| River Church Baltimore | $250 |
| Individual grant recipient | $200 |
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 (FY18–25, $9k) land where the poverty rate runs at 9%, against an area that typically sits at 10%. 16% of those dollars go to grantees based in above-average-need neighborhoods. Your grants skew toward lower-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 +58% since the first grant, against -5% for the ones you funded once.
19 repeat relationships — 6 still active in FY2025, 13 since wound down; 6 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, 69% of grant dollars renewed an existing relationship; $13k 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 USA3× · 2018–2021 · $29k · revenue +17%
- SESANKARA EYE FOUNDATION USA4× · 2017–2022 · $24k · revenue +102%
- LCLiteracy Council of Northern Virginia Inc4× · 2017–2022 · $22k · revenue +58%
Funded once
- GFGOONJ FOUNDATIONone grant, 2024 · $10k
- GGREATNONPROFITSone grant, 2021 · $10k · revenue -51%
- WDWASHINGTON DRAMA SOCIETY INCgraduatedone grant, 2021 · $10k · revenue +159%
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.
Devworks international is dedicated to a society where all people enjoy the freedom to pursue their own sustainable development. we contribute to this by strengthening the capacity of local organizations.
The mission of the foundation is to simultaneously address childhood hunger and malnutrition and to promote education for children throughout india.
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
Global Forest Generation restores and protects forest ecosystems in partnership with grassroots leaders and local communities across vast landscapes which play a critical role in preserving water, protecting biodiversity, storing carbon,…
The american india foundation(aif) is a nonprofit american development organization that is devoted to accelerating social and economic change in india.
To create positive social change for millions of under-served people across the developing world by providing critically needed information and education through innovative media, appropriate technology and direct community engagement.
Water for good's mission is to transform lives through sustainable access to safe water as well as improved sanitation and hygiene in the places that need it most.
To provide multi-specialty surgical care, humanitarian aid and educational support to people in low- and middle-income countries.
One child global's mission is to advocate for children in hard places and provide holistic care so they have hope and thrive. onechild global's 355 hope centers provide holistic child development progress in nineteen countries.
Givewell is dedicated to finding and funding outstanding giving opportunities in global health and development, sharing the full details of our analysis with everyone for free.
Development gateway (dg) creates tools and design processes that help collect, visualize, and use data for a more equitable world. for 20 years, we have built systems, dashboards, and tools to create more effective, open, and engaging…
FFWD accelerates the growth of technology nonprofits by providing financial and human capital to help scale technology solutions for education, environmental, health, and human rights issues.
For reference, the grantee most central to the portfolio’s shape is Global Fund for Children and the most unlike its peers is Kibir Desta Medical Foundation. 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 25 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) — 9% of your grantees by number, and just 8% 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.
22 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. 22 of the 48 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 SANKARA EYE FOUNDATION USA ↗
- Who funds Literacy Council of Northern Virginia Inc ↗
- Who funds GIVE2ASIA ↗
- Who funds GOONJ FOUNDATION ↗
- Who funds GREATNONPROFITS ↗
- Who funds NETWORK FOR GOOD ↗
- Who funds SevaTruck Foundation ↗
- Who funds WASHINGTON DRAMA SOCIETY INC ↗
- Who funds ASHIYANAA INC ↗
- Who funds GLOBALGIVING FOUNDATION INC ↗
- Who funds MCLEAN CREW CLUB INC ↗
- Who funds GLOBAL FUND FOR CHILDREN ↗
- Who funds Kibir Desta Medical Foundation ↗
- Who funds HINDU AMERICAN FOUNDATION INC ↗
- Who funds GLOBAL SHOUT ↗
- Who funds TOUCHING LIVES INC ↗
- Who funds GIRLS WHO CODE INC ↗
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: National Philanthropic Trust · American Online Giving Foundation Inc · The Bank of America Charitable Foundation Inc · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · 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 Aurora 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 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.