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· Public charity

Hope Through Healing Hands

HOPE THROUGH HEALING HANDS promotes an improved quality of life for citizens and communities around the world using health as a currency for peace

$388k
Granted FY2022
3
Grants FY2022
3
States reached
$160k
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 2022.

International$355kEducation$68k
02FY2022 · 3 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 3 grants below total $355,000, the rows itemized in this filing. The $388,000 headline is the total grant expense on the return; the other $33,000 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.

By grant size · FY2022

  • $10k–50k1 grant · $35k
  • $50k–250k2 grants · $320k
$160,000
Median grant
3
States reached
$96k
Total assets
Largest grants
RecipientAmount
INTERNATIONAL RESCUE COMMITTEE$160,000
SAMARITAN'S PURSE$160,000
NASHVILLE INTERNATIONAL CENTER FOR$35,000
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 (FY17–22) land where the poverty rate runs at 16%, against an area that typically sits at 11%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 11%INTERNATIONAL RESCUE COMMITTEE: $160k → 12%BELMONT UNIVERSITY: $8k → 14%SAMARITAN'S PURSE: $160k → 21%NASHVILLE INTERNATIONAL CENTER FOR: $35k → 14%VANDERBILT INSTITUTE FOR GLOBAL HEA: $60k → 14%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.
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.
03Its field
04the grantee network

5 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.

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

0
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
5/5
Grantees still filing
4/5
Grew since first funded

Where the money sits, by cause and then by grantee

International Rescue Committee INC: $160,000 · InternationalInternational Rescue Committee INCSAMARITAN'S PURSE: $160,000 · ReligionSAMARITAN'S PURSEVanderbilt University: $60,000 · EducationVanderbilt Univers…Belmont University: $7,500 · EducationBelmont UniversityNASHVILLE INTERNATIONAL CENTER FOR EMPOWERMENT: $35,000 · Arts & CultureNASHVILLE…
International$160,000Religion$160,000Education$67,500Arts & Culture$35,000

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$100Mgrantee revenue →↑ funder's share of their budgetInternational Rescue Committee INC: $160,000 over 1y, 0.0% of budgetSAMARITAN'S PURSE: $160,000 over 1y, 0.0% of budgetVanderbilt University: $60,000 over 1y, 0.0% of budgetNASHVILLE INTERNATIONAL CENTER FOR EMPOWERMENT: $35,000 over 1y, 0.8% of budgetBelmont University: $7,500 over 1y, 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.

How much its grantees rely on government

Each dot is one organization Hope Through Healing Hands funds: left to right is the share of its income from government, bottom to top the share from Hope Through Healing Hands. 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%10%20%30%40%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    1report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–40%
    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.
    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Hope Through Healing Hands?

    Find your warmest path to Hope Through Healing Hands 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 5 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 2022, released 2022. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2024) is on record but names no grant recipient (grants abroad are filed by region only, and grants under $5,000 are not itemized), so the figures above are from FY2022, the most recent year this funder named its grantees.

    Source object · view filing

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