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Plinth

· Public charity

March to the Top - Africa

Provide aid and other much needed resources to impoverished families worldwide.

$361k
Granted FY2024still arriving
5
Grants FY2024still arriving
5
States reached
$50k
Largest
01What you fund
01100% classified

What you funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year — across FY20172024.

Health$270kInternational$90kAnimals$77kReligion$50kPublic Safety & Disaster$40kEducation$25kHuman Services$10k
02FY2024 · 5 grants

Where the money goes

Your grants by size, and where they go.

The 5 grants below total $125,005 — the rows itemised in this filing. The $361,332 headline is the total grant expense reported on the return, so the remaining $236,327 is giving the schedule does not break out: grants under the $5,000 itemisation floor, grants to individuals, and grants reported on other schedules. Every figure below describes the itemised rows only.

By grant size · FY2024

  • $10k–50k4 grants · $75k
  • $50k–250k1 grant · $50k
$20,000
Median grant
5
States reached
$3.4M
Total assets
Largest grants
RecipientAmount
HOLY CROSS MISSION CENTER$50,000
ST MONICA CATHOLIC SCHOOLS$25,005
KENYA WILDLIFE TRUST$20,000
SAM ELIMU CHARITY$20,000
SAVE THE RHINO$10,000
02The need
03

Do your dollars go where the need is?

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

show:

Dollar for dollar, your grants (FY17–24) land where the poverty rate runs at 13%, against an area that typically sits at 10%. 79% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 10%SAVE THE RHINO: $12k → 10%KENYA WILDLIFE TRUST: $10k → 8%AMBOSELI TRUST: $5k → 10%SAM ELIMU CHARITY: $20k → 22%LEWA WILDLIFE CONSERVANCY USA: $15k → 8%KENYA WILDLIFE TRUSTEMPOWERS AFRICA: $20k → 17%ST MONICA CATHOLIC SCHOOLS: $25k → 14%HOLY CROSS MISSION CENTER: $60k → 13%SAVE THE RHINO: $10k → 10%SAM ELIMU CHARITY: $20k → 22%LEWA WILDLIFE CONSERVANCY USA: $10k → 8%KENYA WILDLIFE TRUST: $20k → 17%HOLY CROSS MISSION CENTER: $60k → 13%SAVE THE RHINO: $10k → 10%SAM ELIMU CHARITY: $10k → 22%LEWA WILDLIFE CONSERVANCY USA: $10k → 8%HOLY CROSS MISSION CENTER: $50k → 13%SAVE THE RHINO: $10k → 10%LEWA WILDLIFE CONSERVANCY USA: $5k → 8%HOLY CROSS MISSION CENTER: $50k → 13%SAVE THE RHINO: $10k → 10%HOLY CROSS MISSION CENTER: $50k → 13%SAVE THE RHINO: $10k → 10%HOLY CROSS MISSION CENTER: $50k → 13%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount

Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty linein the grantee’s ZIP, averaged from the tracts in that ZIP; grantee ZIP can differ from where services are delivered.

Grants abroad, by region — $228k on the FY2024 return

Schedule F, as filed: 2 regions. The IRS asks for region and purpose, not the recipient, so no country or grantee can be named here.

Sub-Saharan Africa$178k · 78% · 4 grants

Stated purpose: NORTHERN RAGELANDS TRUST - GENERAL CONTRIBUTION · ITALIAN ASSOCIATION OF NOMADS OF LOVE - GENERAL CONTRIBUTION · MEDICAL & EDUCATION AID TO KENYA - GENERAL CONTRIBUTION

Europe (including Iceland and Greenland)$50k · 22% · 1 grant

Stated purpose: DREAM - GENERAL CONTRIBUTION

US grants placed by each grantee’s ZIP, which can differ from where services are actually delivered. Need from public data — U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA — shown as context about the area, never attributed to your 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.

03Your edge
repeat funding

Who you back again

Which organizations you funded more than once, and which you funded a single time. Each grantee is matched to its own filings.

90%of every dollar goes to organizations you’ve funded before.
$472k · 4 repeat orgs$50k to everyone else

4 repeat relationships — 4 still active in FY2024, 0 since wound down; 1 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

4
3

Total granted

$472k
$25k

Median revenue growth · since first grant

-27%
+201%

Still filing today

75%
67%

New vs renewed · share of each year

In FY2024, 80% of grant dollars renewed an existing relationship; $25k went to new ones.

50%100%’17’19’20’21’23’24
RenewedFirst-time

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

’17’19’20’21’23’24
AnimalsEducationInternationalHuman ServicesOther

First-time = a grantee’s first year in your filing window; renewed = funded in an earlier year too. As a portfolio matures the renewed share naturally climbs — once funded, an org stays “renewable” — so the signal is the years that buck it (a new-grantee intake wave). 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

  • HC
    HOLY CROSS FOREIGN MISSION SOCIETY INC
    7× · 2017–2024 · $320k
  • ST
    SAVE THE RHINO INTERNATIONAL INC
    7× · 2017–2024 · $62k · revenue +58%
  • SE
    SAM ELIMU CHARITY
    4× · 2021–2024 · $50k · revenue -48%

Funded once

  • AS
    AFRICA SCHOOLS OF KENYA
    one grant, 2019 · $10k · revenue -65%
  • FO
    FRIENDS OF KENYA WILDLIFE TRUST
    one grant, 2017 · $10k
  • AT
    AMBOSELI TRUST FOR ELEPHANTSgraduated
    one grant, 2020 · $5k · revenue +201%

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

04Your field
04the grantee network

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

Each one resolved to its own IRS returns and tracked year by year — your grant beside their revenue from every source. Association, dated; never a causal claim.

Counted here: distinct organizations you funded across 20172025, not grant rows in a single year — so this will not match the grant count on the cover. 6 of the 9 grantees resolved in that span have returns of their own we could reconcile; the rest are funded organizations whose filings we could not track year by year.

0
Load-bearing (≥25% of a budget)
2
Early backer (in before they grew)
6/6
Grantees still filing
2/6
Grew since you first funded

Where your money sits — by cause, then by grantee

HOLY CROSS FOREIGN MISSION SOCIETY INC — $320,000 · OtherHOLY CROSS FOREIGN MISSION SOCIETY INCST MONICA CATHOLIC SCHOOL — $25,005 · OtherST MONICA CATHOLIC SCHOOL+1 more — $10,000 · OtherSAVE THE RHINO INTERNATIONAL INC — $61,600 · AnimalsSAVE THE RHIN…AMBOSELI TRUST FOR ELEPHANTS — $5,000 · AnimalsAMBOSELI TRUS…SAM ELIMU CHARITY — $50,000 · EducationSAM ELIMU …EMPOWERS AFRICA INC — $40,000 · InternationalNETWORK FOR GOOD — $39,500 · Public Safety & DisasterAFRICA SCHOOLS OF KENYA — $10,000 · Human Services
Other$355,005Animals$66,600Education$50,000International$40,000Public Safety & Disaster$39,500Human Services$10,000

Each org by its size and your share of it — top-left is where you’re load-bearing

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ your share of their budgetSAVE THE RHINO INTERNATIONAL INC — $61,600 over 7y, 2.0% of budgetSAM ELIMU CHARITY — $50,000 over 4y, 6.5% of budgetEMPOWERS AFRICA INC — $40,000 over 2y, 0.3% of budgetNETWORK FOR GOOD — $39,500 over 4y, 0.0% of budgetAFRICA SCHOOLS OF KENYA — $10,000 over 1y, 5.6% of budgetAMBOSELI TRUST FOR ELEPHANTS — $5,000 over 1y, 0.8% of budget
Go grantee by grantee — a decade per org, and how each moved after you funded them

A decade per grantee — revenue shaded, your grants as bars, all rows on one timeline.

  • Who funds SAVE THE RHINO INTERNATIONAL INC
  • Who funds SAM ELIMU CHARITY
  • Who funds EMPOWERS AFRICA INC
  • Who funds NETWORK FOR GOOD
  • Who funds AFRICA SCHOOLS OF KENYA
  • Who funds AMBOSELI TRUST FOR ELEPHANTS

The grantmakers whose grantees overlap with yours far more than size alone predicts. Each orbits closer the stronger the alignment; the arcs between them show where they also fund each other. Here it reads as a tightly interlocked camp — most of these funders back each other's grantees too.

The Bank of America Charitable Foundation IncNC7.9× affinity4 shared granteesties to 3 of 3Hover any node to trace its alignments.Compare side by side →

Open a dossier: The Bank of America Charitable Foundation Inc · Donor Advised Charitable Giving Inc · Fidelity Investments Charitable Gift Fund · Amazonsmile Foundation

Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. A research starting point: overlap is association, not proof of shared intent.

Government reliance of your grantees

Every dot is one organization March to the Top - Africa funds. Left–right is the share of its income from government; up–down is the share from you. Bigger dots raise more. Filter to federal or a single department — and drag the year to watch it move.

2024
202122232425
no gov · 10%1%3%6%10%your 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, FY2025

    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 your grant caused the public funding. Coverage is precision-first — a floor, not 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 12–24 months.

    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to March to the Top - Africa?

    Find your warmest path to March to the Top - Africa 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 directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 9 grantees we resolved across every year we hold, several hundred filings in all (a different count from the grant rows on the cover, which are one fiscal year)— each linked to its source. Grantee achievements and outcomes are each organization’s own program-service reporting (Form 990, Part III); we read these as association with sustained funding — the foundation is one of several forces — suppress low-confidence name matches rather than guess, and say so where a figure rests on a single grant or filing. Not everything on this page is a filed figure, and the difference matters. Filed is what you reported on your 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. How we build these →

    Generated from your IRS Form 990 e-file return for fiscal year 2024, released 2024. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Source object · view filing

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