Skip to content

· 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.

$158k
Granted FY2025still arriving
1
Grants FY2025still arriving
1
States reached
$93k
Largest

Read this first · the figures below need context

100% of University of Tokyo New York Office Inc’s FY2025 grant dollars went to Friend 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

0
’22
0
’23
0
’24
0
’25

Amber years are those where most dollars went to a sponsor.

01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2022 to 2025.

Education$331k
02FY2025 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 1 grants below total $92,947, the rows itemized in this filing. The $157,883 headline is the total grant expense on the return; the other $64,936 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.
$92,947
Median grant
1
States reached
$21M
Total assets
Largest grants
RecipientAmount
FRIENDS OF UTOKYO INC$92,947
02The need
03

Where the 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.

East Asia and the Pacific$65k · 100% · 1 grant

Stated purpose: TO SUPPORT SPECIFIC PROGRAMS AND RESEARCH

How this is measured
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.
03Its field
04the grantee network

1 grantees tracked through their own filings, 2018–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2018 to 2025, not grant rows in a single year, so this will not match the grant count on the cover.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

1
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
1/1
Grantees still filing
1/1
Grew since first funded

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%grantee revenue →↑ funder's share of their budgetFRIENDS OF UTOKYO INC: $330,531 over 4y, 31% of budget
Grantee by grantee: a decade per organization, before and after funding

A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.

  • Who funds FRIENDS OF UTOKYO INC ↗

How much its grantees rely on government

Each dot is one organization University of Tokyo New York Office Inc funds: left to right is the share of its income from government, bottom to top the share from University of Tokyo New York Office Inc. Bigger dots raise more.

2025
’20’21’22’23’24’25
no gov · 00%3%10%23%40%funder's share of their income ↑0%1%3%4%5%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    typical government reliance, FY20–25
    How this is measured
    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 a grant caused the public funding. Coverage is precision-first, a floor rather than 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 to 24 months.
    04Through Plinth

    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.

    On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 1 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

    How this is measured
    Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

    Generated from the IRS Form 990 e-file return for fiscal year 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

    Play a game based on University of Tokyo New York Office’s filings →

    More from the funding graph