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· Private foundation

Kishimoto Family Foundation

Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$111k
Granted FY2024still arriving
6
Grants FY2024still arriving
2
States reached
$80k
Largest
01What you fund
01100% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20172024.

Education$530kEnvironment$79kFood & Nutrition$15kArts & Culture$10kRecreation & Sports$5kPublic Benefit$3kCommunity Improvement$1kReligion$40
02FY2024 · 6 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2024

  • Under $10k4 grants · $10k
  • $10k–50k1 grant · $21k
  • $50k–250k1 grant · $80k
$5,000
Median grant
2
States reached
$2.6M
Total assets
Largest grants
RecipientAmount
UNIVERSITY OF THE RYUKUS$80,106
SEACOLOGY$20,798
FEED THE CHILDREN$5,000
YO MEDIA$3,700
UNIVERSITY CONSORTIUM OKINAWA$1,419
GENERAL ASSOCIATION UNIVERSITY$14
02The need
03

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 — 19% of grant dollars ($123k). The need read here covers only this US portion; the 81% that went abroad ($520k) is mapped below.

show:

Dollar for dollar, your grants (FY17–24) land where the poverty rate runs at 11%, against an area that typically sits at 10%. 27% of your dollars go to grantees based in above-average-need neighborhoods. Your grants skew toward lower-need ZIPs.

area typical 10%YO MEDIA: $4k → 10%SEACOLOGY: $21k → 10%LITTLE TOKYO SERVICE CENTER: $1k → 14%FEED THE CHILDREN: $5k → 16%NU SKIN FORCE FOR GOOD FOUNDATION: $6k → 8%ERIKA YOSHINAGA: $100 → 9%SEACOLOGY: $20k → 10%JAPANESE AMERICAN NATIONAL MUSEUM: $5k → 14%FEED THE CHILDREN: $5k → 16%NU SKIN FORCE FOR GOOD FOUNDATION: $1k → 8%JULIE YOSHINAGA: $100 → 9%SEACOLOGY: $11k → 10%SANIKU EAST WEST LANGUAGE SCHOOL: $10k → 14%NU SKIN FORCE FOR GOOD FOUNDATION: $1k → 8%SEACOLOGY: $10k → 10%OKINAWA ASSOCIATION OF AMERICA INC: $5k → 14%SEACOLOGY: $8k → 10%OKINAWA ASSOCIATION OF AMERICA: $1k → 14%SEACOLOGY: $5k → 10%SDA GARDENA CHURCH: $40 → 14%SEACOLOGY: $2k → 10%B ADAPTIVE FOUNDATION: $150 → 14%SEACOLOGY: $2k → 10%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

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 — 81% of all-years giving ($520k)

1 country, by the recipient’s country on the filing.

grant dollars sentlessmore
Japan$520k · 15 grants

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.

03Your edge
repeat funding

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.

96%of every dollar goes to organizations you’ve funded before.
$615k · 7 repeat orgs$28k to everyone else

7 repeat relationships — 5 still active in FY2024, 2 since wound down; 1 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

7
9

Total granted

$615k
$24k

Median revenue growth · since first grant

-8%
+86%

Still filing today

57%
22%

New vs renewed · share of each year

In FY2024, 97% of grant dollars renewed an existing relationship; $4k went to new ones.

50%100%’17’18’19’20’21’22’23’24
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’17’18’19’20’21’22’23’24
Arts & CultureRecreation & SportsInternationalEducationCommunity ImprovementOther

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

  • UO
    UNIVERSITY OF THE RYUKUS
    8× · 2017–2024 · $504k
  • S
    SEACOLOGY
    8× · 2017–2024 · $79k · revenue -8%
  • FT
    FEED THE CHILDREN INC
    2× · 2023–2024 · $10k · revenue -23%

Funded once

  • SE
    SANIKU EAST WEST LANGUAGE SCHOOL
    one grant, 2023 · $10k
  • JAPANESE AMERICAN NATIONAL MUSEUMgraduated
    one grant, 2017 · $5k · revenue +86%
  • OK
    OKINAWA KOKUSAI HEIWA KENKYUSYO
    one grant, 2017 · $5k

Repeat = funded in two or more distinct years; growth and survival are read from each grantee’s own subsequent IRS filings.

04Your field

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.

1
Terasaki Nibei Foundation Fka Nibei Foundation
Arts & Culture
2
United States - Japan Foundation
3
The Okinaga Foundation
4
Japantown Cultural Society
Education
5
Moore Aloha Foundation
Recreation & Sports
6
The Yabuki Family Foundation
Philanthropy
7
Mizutomo Kiko Foundation
Philanthropy
8
Aoki Foundation
Philanthropy
9
Us-Japan Research Institute Suite 801
10
The Hideo Sasaki Foundation
Philanthropy
11
Nichi Bei Foundation

Connect, inform and empower the japanese american communith through the publication of nichi bei weekly and community events such as films of rembrance, tours of historic sites and other events.

Arts & Culture
12
Kun Corporation

To promote cultural exchange and mutual understanding for international friendship and goodwill.

For reference, the grantee most central to the portfolio’s shape is Okinawa Association of America Inc and the most unlike its peers is The Nu Skin Force for Good Foundation. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.

04the grantee network

8 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 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 8 of the 17 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.

0
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
7/8
Grantees still filing
3/8
Grew since you first funded

Where your money sits — by cause, then by grantee

UNIVERSITY OF THE RYUKUS — $504,495 · OtherUNIVERSITY OF THE RYUKUSSEACOLOGY — $78,514 · OtherSEACOLOGY+8 more — $25,609 · OtherOKINAWA ASSOCIATION OF AMERICA INC — $6,000 · Arts & CultureJAPANESE AMERICAN NATIONAL MUSEUM — $5,000 · Arts & CultureYO MEDIA — $3,700 · Arts & CultureFEED THE CHILDREN INC — $10,000 · InternationalTHE NU SKIN FORCE FOR GOOD FOUNDATION — $7,700 · Education1979 LEGACY CORP — $1,400 · Community ImprovementB-Adaptive Foundation Inc — $150 · Recreation & Sports
Other$608,618Arts & Culture$14,700International$10,000Education$7,700Community Improvement$1,400Recreation & Sports$150

Each org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ your share of their budgetSEACOLOGY — $78,514 over 8y, 0.7% of budgetFEED THE CHILDREN INC — $10,000 over 2y, 0.0% of budgetTHE NU SKIN FORCE FOR GOOD FOUNDATION — $7,700 over 3y, 0.3% of budgetOKINAWA ASSOCIATION OF AMERICA INC — $6,000 over 2y, 3.8% of budgetJAPANESE AMERICAN NATIONAL MUSEUM — $5,000 over 1y, 0.1% of budgetYO MEDIA — $3,700 over 1y, 2.2% of budget1979 LEGACY CORP — $1,400 over 1y, 0.4% of budget
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 SEACOLOGY
  • Who funds FEED THE CHILDREN INC
  • Who funds THE NU SKIN FORCE FOR GOOD FOUNDATION
  • Who funds OKINAWA ASSOCIATION OF AMERICA INC
  • Who funds JAPANESE AMERICAN NATIONAL MUSEUM
  • Who funds YO MEDIA
  • Who funds 1979 LEGACY CORP
  • Who funds B-Adaptive Foundation 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 set of overlaps that mostly run through you, not between each other.

Amazonsmile FoundationWA2.4× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

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 Kishimoto 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.

2024
202122232425
no gov · 00%0%1%3%5%your share of their income ↑0%3%5%8%10%share of the org’s income from governmentmedian 1%
  • Feed the Children Inc1% of 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 · 0–10%
typical government reliance, FY2025

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.

On method. Every financial figure here is read directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 17 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your 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. How we build these →

Generated from your IRS Form 990-PF e-file return for fiscal year 2024, released 2024. Filings run roughly 12–24 months behind; figures are dated accordingly.

Source object · view filing

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