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· Private foundation

The Afghan Peaks Charitable Trust

Its FY2022 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$6k
Granted FY2021
7
Grants FY2021
1
States reached
$3k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2019 to 2021.

Public Safety & Disaster$11kHuman Services$5kRecreation & Sports$3kInternational$3kEducation$3kFood & Nutrition$645Youth Development$500Religion$232
02FY2021 · 7 grants

Where the money goes

Grants by size, and the largest recipients.

$643
Median grant
1
States reached
$0
Total assets
Largest grants
RecipientAmount
BAYAT FOUNDATION$3,000
MULLAH KOMIDAN PRIV SCHOOL$657
QADEEM KHALIFA MOHAMMAD SCHOOL$645
KAMESHNARAN SCHOOL$643
PEAK$500
MAWLANA MOHAMMAD AZIM BARNABADJ SCH$500
MAHAL KHWAJA FAZIL AHMAD PRIV SCL$232
02The need
03

Where the grant dollars land

Across the US and around the world.

US giving: 88% of grant dollars ($23k). The 12% that went abroad ($3k) is mapped below.

Beyond the US: 12% of all-years giving ($3k)

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

grant dollars sentlessmore
Afghanistan$3k · 6 grants
How this is measured
International giving is mapped by the recipient’s country from the same 990 filings; comparable need data isn’t available at that grain.
03Its field
04the grantee network

1 grantees tracked through their own filings, 2019–2024.

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

How this is measured

Counted here: distinct organizations funded across 2019 to 2024, not grant rows in a single year, so this will not match the grant count on the cover. 1 of the 13 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)
1/1
Grantees still filing
0/1
Grew since first funded

Where the money sits, by cause and then by grantee

Individual grant recipient: $10,633 · OtherIndividual grant recipientIndividual grant recipient: $4,000 · OtherIndividual grant recipientBAMIYAN SKI CLUB: $3,000 · OtherBAMIYAN SKI CLUBIndividual grant recipient: $1,270 · OtherIndividual grant recipientIndividual grant recipient: $1,028 · Other+7 more: $3,383 · Other+7 moreBAYAT FOUNDATION INC: $3,000 · InternationalBAYAT FOUNDA…
Other$23,314International$3,000

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 budgetBAYAT FOUNDATION INC: $3,000 over 1y, 0.4% 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 BAYAT FOUNDATION INC ↗

How much its grantees rely on government

Each dot is one organization The Afghan Peaks Charitable Trust funds: left to right is the share of its income from government, bottom to top the share from The Afghan Peaks Charitable Trust. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 10%0%1%3%5%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
    1get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    typical government reliance, FY20–24
    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.

    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 13 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 2021, released 2021. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2022) is on record but names no grant recipient in the published copy, so the figures above are from FY2021, the most recent year this funder’s grantee list reached the public record.

    Source object · view filing

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