· Public charity
University of Tokyo New York Office Inc
To contribute to societies and people worldwide through pioneering research and education through international collaboration and academic exchange, mainly in the fields of engineering and medical science.
Read this first · the figures below need context
100% of University of Tokyo New York Office Inc’s FY2025 grant dollars went to Friends Of Utokyo Inc, not to grantees.
Its money now reaches organizations through that sponsor, which does not report who recommended each grant. FY2025 names 0 organizations directly, so a portfolio cannot be read from it.
Organizations named directly on the return
Amber years are those where most dollars went to a sponsor.
What you funded, over time
Every grant clustered by its grantee’s IRS cause code (NTEE), by year — across FY2022–2025.
Where the money goes
Your grants by size, and where they go.
The 1 grants below total $92,947 — the rows itemised in this filing. The $157,883 headline is the total grant expense reported on the return, so the remaining $64,936 is giving the schedule does not break out: grants under the $5,000 itemisation floor, grants to individuals, and grants reported on other schedules. Every figure below describes the itemised rows only.
| Recipient | Amount |
|---|---|
| FRIENDS OF UTOKYO INC | $92,947 |
Do your dollars go where the need is?
Where your grant dollars land — across the US and around the world.
Grants abroad, by region — $65k on the FY2025 return
Schedule F, as filed: 1 region. The IRS asks for region and purpose, not the recipient, so no country or grantee can be named here.
Stated purpose: TO SUPPORT SPECIFIC PROGRAMS AND RESEARCH
Grants abroad on Schedule F are filed by region, purpose and amount with no recipient name, so they are shown by region and cannot be placed on the country map or matched to a grantee.
1 grantees tracked through their own filings, 2018–2025.
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 2018–2025, not grant rows in a single year — so this will not match the grant count on the cover.
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.
Government reliance of your grantees
Every dot is one organization University of Tokyo New York Office 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.
Warm introductions · Powered by PlinthPlus
How do I get to University of Tokyo New York Office Inc?
Find your warmest path to University of Tokyo New York Office Inc 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.