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· Public charity

Mercy Incorporated

Mercy exists to support vulnerable individuals and communities by providing practical assistance, development programs, and strategic partnerships that promote long-term stability and well-being.

$1.8M
Granted FY2019
1
Grants FY2019
1
States reached
$1.8M
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, FY2017 to 2019.

Religion$2.4MPublic Safety & Disaster$1.8MInternational$1.8M
02FY2019 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

$1,846,082
Median grant
1
States reached
$761k
Total assets
Largest grants
RecipientAmount
One Mission Society Inc$1,846,082
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.

show:

Dollar for dollar, its grants (FY17–19) land where the poverty rate runs at 8%, against an area that typically sits at 7%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 7%One Mission Society Inc: $2.4M → 8%One Mission Society Inc: $1.8M → 8%ONE MISSION SOCIETY: $1.8M → 8%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.

Grants abroad, by region: $2.5M on the FY2025 return

Schedule F, as filed: 3 regions. The IRS asks for region and purpose, not the recipient, so no country or grantee can be named here.

South Asia$2.2M · 88% · 2 grants

Stated purpose: Clean water & refugee work · Food relief

South America$190k · 8% · 1 grant

Stated purpose: Education & Medical

Sub-Saharan Africa$112k · 4% · 1 grant

Stated purpose: Literacy & Agricultural

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. 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

0 grantees tracked through their own filings, 2017–2019.

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 2019, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 1 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 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 2019, released 2019. 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 $2.5M of grant expense, but none of it to a named recipient. On a Form 990 that can mean grants abroad, filed by region only (Schedule F), grants under $5,000, which are not itemized, or a schedule referenced as an attachment the e-file does not carry. The figures above are therefore from FY2019, the most recent year this funder named its grantees.

Source object · view filing

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