· Private foundation
Banovich Wildscapes Foundation
Its FY2021 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 FY2017–2021.
Where the money goes
Your grants by size, and where they go.
By grant size · FY2021
- Under $10k2 grants · $10k
- $10k–50k1 grant · $35k
- $50k–250k3 grants · $181k
| Recipient | Amount |
|---|---|
| THE WILDLIFE CONSERVATION SOCIETY | $75,000 |
| AFRICAN COMMUNITY AND CONSERVATION | $56,000 |
| Friends of Kenya Wildlife Trust | $50,000 |
| Chem Chem Live Wildlife | $35,000 |
| D3 Foundation | $5,000 |
| Project Survival Cat Haven | $4,700 |
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 — 85% of grant dollars ($360k). The need read here covers only this US portion; the 15% that went abroad ($66k) is mapped below.
Dollar for dollar, your grants (FY17–21) land where the poverty rate runs at 18%, against an area that typically sits at 12%. 73% of your 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 — 15% of all-years giving ($66k)
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.
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.
Ci works to spotlight and secure the critical benefits that nature provides to humanity.
Wwf's mission is to conserve nature and reduce the most pressing threats to the diversity of life on earth. (continued on schedule o)
Awf's mission is to ensure wildlife and wild lands thrive in modern africa. we work to equip african governments, institutions, business, and communities with the tools, insights, and support they need to define, own, and realize a…
The Fossey Fund is dedicated to the conservation and study of gorillas in Africa through a successful, people-centered approach: 1) Providing daily protection to gorillas, 2) Scientific research providing critical data on gorillas and…
We bring science, policy, and proven solutions directly to communities working to restore the integrity and natural connectivity of the landscapes in which they live. (see schedule o)
RA works at the intersection of business, agriculture & forests to improve lives & protect nature by transforming how land is used, production of goods & consumer choices.
For reference, the grantee most central to the portfolio’s shape is Woodland Park Zoological Society and the most unlike its peers is D3 Foundation. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
9 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. 9 of the 22 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 Wildlife Conservation Society ↗
- Who funds CONSTRUCTION FOR CHANGE ↗
- Who funds CRAIGHEAD INSTITUTE ↗
- Who funds D3 Foundation ↗
- Who funds INTERNATIONAL CRANE FOUNDATION INC ↗
- Who funds THE DISCOVERY LAND COMPANY FOUNDATION ↗
- Who funds WESTERN SUSTAINABILITY EXCHANGE ↗
- Who funds EMPOWERS AFRICA INC ↗
- Who funds WOODLAND PARK ZOOLOGICAL SOCIETY ↗
Government reliance of your grantees
Every dot is one organization Banovich Wildscapes 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.
Warm introductions · Powered by PlinthPlus
How do I get to Banovich Wildscapes Foundation?
Find your warmest path to Banovich Wildscapes Foundation 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.