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· Private foundation

Enrich Missions Inc

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.

$2k
Granted FY2020
2
Grants FY2020
—
States reached
$1k
Largest
01What it funds
01FY2020 · 2 grants

Where the money goes

Grants by size, and the largest recipients.

$1,000
Median grant
—
States reached
$54k
Total assets
Largest grants
RecipientAmount
Individual grant recipient$1,000
Individual grant recipient$1,000
02The need
02

Where the grant dollars land

Across the US and around the world.

US giving: 0% of grant dollars ($0). The 100% that went abroad ($2k) is mapped below.

Beyond the US: 100% of all-years giving ($2k)

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

grant dollars sentlessmore
Nicaragua$2k · 2 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
03the grantee network

0 grantees tracked through their own filings, 2020–2020.

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

How this is measured

Counted here: distinct organizations funded across 2020 to 2020, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 2 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)
0/0
Grantees still filing
0/0
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 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.

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 2 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 (FY2022) is on record but names no grant recipient in the published copy, so the figures above are from FY2020, the most recent year this funder’s grantee list reached the public record.

Source object · view filing

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