· Public charity
As You Sow
To promote environmental and social corporate responsibility on issues relating to climate change and environmental health; social issues included racial justice and workplace diversity; and toxic ingredients in consumer products.
What you funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year — across FY2018–2023.
Where the money goes
Your grants by size, and where they go.
| Recipient | Amount |
|---|---|
| Democracy Forward Foundation | $50,000 |
| Sustainable Investments Institute | $50,000 |
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 — 79% of grant dollars ($300k). The need read here covers only this US portion; the 21% that went abroad ($80k) is mapped below.
Your human-services grants (FY19–19, $4k) land where the poverty rate runs at 8%, against an area that typically sits at 11%. 0% 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.
Beyond the US — 21% of all-years giving ($80k)
1 country, 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 990filings; comparable need data isn’t available at that grain.
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.
Changing Markets Foundation's mission is to accelerate and scale up solutions to sustainability challenges by leveraging the power of markets. Working in partnership with NGOs, other foundations, and research organizations, the…
Research and education of United Nations activities
To engage and catalyze global seafood supply chains in rebuilding depleted fish stocks and reducing the environmental impacts of fishing and fish farming.
For reference, the grantee most central to the portfolio’s shape is Green America and the most unlike its peers is The Manaaki Foundation. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
10 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. 10 of the 11 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 THE MANAAKI FOUNDATION ↗
- Who funds DEMOCRACY FORWARD FOUNDATION ↗
- Who funds SUSTAINABLE INVESTMENTS INSTITUTE INC ↗
- Who funds PUBLIC CITIZEN FOUNDATION INC ↗
- Who funds UNITED STATES PARTNERSHIP FOR EDUCATION FOR SUSTAINABLE DEVELOPME ↗
- Who funds GREEN AMERICA ↗
- Who funds CLEAN LABEL PROJECT FOUNDATION ↗
- Who funds COMMONWEAL ↗
- Who funds NONTOXIC CERTIFIED INC ↗
- Who funds Beyond Pesticides ↗
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 set of overlaps that mostly run through you, not between each other.
Open a dossier: 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 As You Sow 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.
Warm introductions · Powered by PlinthPlus
How do I get to As You Sow?
Find your warmest path to As You Sow 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.