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· Private foundation

Xc Foundation

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$11k
Granted FY2020
3
Grants FY2020
2
States reached
$10k
Largest
01What it funds
0179% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2020.

Health$23kPublic Safety & Disaster$9kHuman Services$5kEducation$4kRecreation & Sports$2kScience & Tech$100Arts & Culture$72Other$0
02FY2020 · 3 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2020

  • Under $10k2 grants · $600
  • $10k–50k1 grant · $10k
$500
Median grant
2
States reached
$72k
Total assets
Largest grants
RecipientAmount
Individual grant recipient$10,000
ROYAL MARINES CHARITY$500
HUMAN SOCIETY OF SILICON VALLEY$100
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

US giving: 56% of grant dollars ($40k). The need read here covers only this US portion; the 44% that went abroad ($31k) is mapped below.

show:

Its human-services grants (FY17–19, $8k) land where the poverty rate runs at 14%, against an area that typically sits at 8%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%AMERICAN RED CROSS-INT'L RESPONSE FUND: $6k → 14%AMERICAN RED CROSS-INT'L RESPONSE FUND: $3k → 14%AVHS SENIOR CLASS PARENTS: $30 → 10%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.

Beyond the US: 44% of all-years giving ($31k)

3 countries, by the recipient’s country on the filing.

grant dollars sentlessmore
Taiwan$26k · 3 grants
China$5k · 1 grant
United Kingdom$500 · 1 grant
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving. International giving is mapped by the recipient’s country from the same 990 filings; comparable need data isn’t available at that grain.
03Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

44%of every dollar goes to organizations it has funded before.
$31k · 6 repeat orgs$40k to everyone else

Grantees it renews have grown median revenue +46% since the first grant, against +2% for those funded once.

6 repeat relationships: 0 still active in FY2020, 6 since wound down; 3 grantees were first funded in FY2020 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

6
13

Total granted

$31k
$29k

Median revenue growth · since first grant

+46%
+2%

Still filing today

17%
23%

New vs renewed · share of each year

In FY2020, 0% of grant dollars renewed an existing relationship; $11k went to new ones.

50%100%’17’18’19’20
RenewedFirst-time

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

’17’18’19’20
Human ServicesHealthOther
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). 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

  • IG
    Individual grant recipient
    2× · 2017–2018 · $15k
  • AN
    American National Red Cross & Its Constituent Chapters and Branches
    2× · 2017–2018 · $8k · revenue +46%
  • P
    PPIE
    3× · 2017–2019 · $5k

Funded once

  • CM
    CHENG-HSING MEDICAL FOUNDATION
    one grant, 2018 · $11k
  • AC
    AMERICAN CANCER SOCIETY
    one grant, 2017 · $10k
  • CC
    CHENGDU CHILDREN'S WELFARE INSTITUTION
    one grant, 2017 · $5k
How this is measured

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

04Its field
04the grantee network

4 grantees tracked through their own filings, 2017–2025.

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

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 4 of the 22 grantees resolved in that span have returns of their own we could reconcile.

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

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
4/4
Grantees still filing
3/4
Grew since first funded

Where the money sits, by cause and then by grantee

Individual grant recipient: $14,907 · OtherIndividual grant recipientCHENG-HSING MEDICAL FOUNDATION: $11,000 · OtherCHENG-HSING MEDICAL FOUNDATIONAMERICAN CANCER SOCIETY: $10,000 · OtherAMERICAN CANCER SOCIETYIndividual grant recipient: $10,000 · OtherIndividual grant recipientPPIE: $4,600 · OtherPPIECHENGDU CHILDREN'S WELFARE INSTITUTION: $4,510 · OtherCHENGDU CHILDREN'S WELFARE INSTITUTION+13 more: $7,752 · Other+13 moreAmerican National Red Cross & Its Constituent Chapters and Branches: $8,000 · Human ServicesAmerican Nat…+1 more: $30 · Human ServicesMARCH OF DIMES INC: $100 · Health
Other$62,769Human Services$8,030Health$100

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 budgetAmerican National Red Cross & Its Constituent Chapters and Branches: $8,000 over 2y, 0.0% 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 American National Red Cross & Its Constituent Chapters and Branches ↗
  • Who funds PTA CALIFORNIA CONGRESS OF PARENTS TEACHERS & STUDENTS INC AMADOR PTSA ↗
  • Who funds MARCH OF DIMES INC ↗
  • Who funds AVHS SENIOR CLASS PARENTS ↗

How much its grantees rely on government

Each dot is one organization Xc Foundation funds: left to right is the share of its income from government, bottom to top the share from Xc Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%3%5%8%10%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 · 0–10%
    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.
    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Xc Foundation?

    Find your warmest path to Xc 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.

    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 22 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-PF e-file return for fiscal year 2020, released 2020. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2025) is on record and reports no grant expense, so the figures above are from FY2020, the most recent year this funder made grants.

    Source object · view filing

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