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· Private foundation

George and Frances London Educational Foundation

Its FY2024 filing reports that it accepted unsolicited grant applications.

$549k
Granted FY2024still arriving
86
Grants FY2024still arriving
1
States reached
$100k
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, FY2020 to 2024.

Education$1.8MEmployment$100kScience & Tech$30k
02FY2024 · 86 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • Under $10k80 grants · $349k
  • $10k–50k5 grants · $100k
  • $50k–250k1 grant · $100k
$4,250
Median grant
1
States reached
$6.0M
Total assets
Largest grants
RecipientAmount
MY FUTURE NC INC$100,000
UNIVERSITY OF NC AT CHAPEL HILL$30,000
PUBLIC SCHOOL FORUM OF NC$30,000
UNC INSTITUTE OF MARINE SCIENCES$20,000
CARTERET COMMUNITY COLLEGE FOUNDATI$10,000
DUKE UNIVERSITY MARINE LAB$10,000
Individual grant recipient$8,500
Individual grant recipient$8,500
Individual grant recipient$4,250
Individual grant recipient$4,250
DESTYNI MARION JEANNE HOKE$4,250
Individual grant recipient$4,250
Individual grant recipient$4,250
Individual grant recipient$4,250
Individual grant recipient$4,250
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 (FY20–24) land where the poverty rate runs at 16%, against an area that typically sits at 10%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%DUKE UNIVERSITY MARINE LAB: $10k → 12%UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL FOUNDATION INC: $100k → 13%EMMA LUCY NIXON: $4k → 13%JENNA FAITH MARR: $9k → 14%GRACELYNN PAIGE ANDERSON: $4k → 14%JORDYN MICHELLE RUSH: $4k → 15%NATHANAEL ALEXANDER SHOPE: $4k → 15%EMMA DIANE GRINDSTAFF: $4k → 15%MASON SCOTT BYRUM: $4k → 15%ASHLEIGH BLAIR RUSSELL: $4k → 16%HANNAH REBECCA BROWN: $4k → 18%TANIYAH MIASIA ALSTON: $4k → 20%LAILA MONAE OWENS: $4k → 20%EVELIN YANEX FUNES SORTO: $4k → 21%ELSIE LONDON KATTENBURG: $4k → 21%NYASIA SIRREA DUNN: $9k → 23%JAKENYA AMANI WHITE: $4k → 24%ELIJAH JALEEL ALFORD: $4k → 26%UNC INSTITUTE OF MARINE SCIENCES: $20k → 12%UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL FOUNDATION INC: $50k → 13%EBY ANNE SCAFF: $4k → 13%NATALIE ERYN JONES: $4k → 14%EMMA CAROLINE SHOOK: $4k → 14%ALAINA MICHELLE GOINGS: $4k → 15%NATHANAEL ALEXANDER SHOPE: $4k → 15%EMMA DIANE GRINDSTAFF: $4k → 15%SIERRA MARIE RICE: $4k → 15%ASHLEIGH BLAIR RUSSELL: $4k → 16%HANNAH REBECCA BROWN: $4k → 18%TANIYAH MIASIA ALSTON: $4k → 20%LAILA MONAE OWENS: $4k → 20%EVELIN YANEX FUNES SORTO: $4k → 21%GISSELLE ELIZABETH PEREZ: $4k → 21%NYASIA SIRRES DUNN: $4k → 23%JAKENYA AMANI WHITE: $4k → 24%ELLIJAH JATEEL ALFORD: $4k → 26%CARTERET COMMUNITY COLLEGE FOUNDATI: $10k → 12%UNIVERSITY OF NC AT CHAPEL HILL: $30k → 13%MASON SCOTT BYRUM: $4k → 13%AUDREY ZELENKA: $4k → 14%EMMA CAROLINE SHOOK: $4k → 14%DESTYNI MARION JEANNE HOKE: $4k → 15%CODY ALEXANDER CLINE: $4k → 15%DANIEL WESLEY HAINES: $4k → 15%JAMAL TEON PITTS: $4k → 20%NICHOLAS LEE COKER: $4k → 20%MARIA ISABEL REYES: $4k → 21%ELSIE LONDON KATTENBURG: $4k → 21%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.
04

Where the work is directed

The same grants placed two ways: where each recipient sits, and where its stated purpose sends the money.

About 36% of George and Frances London Educational Foundation’s grant dollars are earmarked for a different county than the recipient’s own address. By recipient address, 99% of the giving stays in NC; by stated purpose, 68%.

George and Frances London Educational Foundationlessmore of its giving
Placed by recipient address · 27% directed abroad (not shown)
How this is measured
Recipient view: each grant at its grantee’s ZIP, mapped to a county. Directed view: each grant at the county its stated purpose names, falling back to the recipient’s county when the purpose names no place; US grants only. A county shows only if it carries the top 95% of that view’s dollars. Purposes are read from the funder’s own 990 grant descriptions.
03Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

77%of every dollar goes to organizations it has funded before.
$1.5M · 64 repeat orgs$446k to everyone else

64 repeat relationships: 26 still active in FY2024, 38 since wound down; 30 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

64
15

Total granted

$1.5M
$101k

Still filing today

2%
0%

New vs renewed · share of each year

In FY2024, 37% of grant dollars renewed an existing relationship; $345k went to new ones.

50%100%’20’21’22’23’24
RenewedFirst-time
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). 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

  • TU
    THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL FOUNDATION INC
    2× · 2020–2021 · $150k · revenue -15%
  • IG
    Individual grant recipient
    4× · 2021–2024 · $32k
  • IG
    Individual grant recipient
    4× · 2021–2024 · $32k

Funded once

  • JL
    JAELYN LANAE CATHERINE SANDERS
    one grant, 2023 · $9k
  • IG
    Individual grant recipient
    one grant, 2020 · $8k
  • IG
    Individual grant recipient
    one grant, 2022 · $8k
How this is measured

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

04Its field
05the grantee network

4 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. 4 of the 109 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)
4/4
Grantees still filing
1/4
Grew since first funded

Where the money sits, by cause and then by grantee

+106 more: $1,660,750 · Other+106 moreTHE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL FOUNDATION INC: $150,000 · EducationTHE UNIVERSITY O…MYFUTURENCINC: $100,000 · EducationMYFUTURENCINCPUBLIC SCHOOL FORUM OF NC INC: $30,000 · EducationPUBLIC SCHOOL FO…
Other$1,660,750Education$280,000

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

25%50%75%100%$10Mgrantee revenue →↑ funder's share of their budgetTHE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL FOUNDATION INC: $150,000 over 2y, 0.5% of budgetMYFUTURENCINC: $100,000 over 1y, 2.6% of budgetPUBLIC SCHOOL FORUM OF NC INC: $30,000 over 1y, 0.6% of budgetCARTERET COMMUNITY COLLEGE FOUNDATION INC: $10,000 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 THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL FOUNDATION INC ↗
  • Who funds MYFUTURENCINC ↗
  • Who funds PUBLIC SCHOOL FORUM OF NC INC ↗

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a set of overlaps that mostly run through this funder rather than between each other.

Fidelity Investments Charitable Gift FundMA6× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Fidelity Investments Charitable Gift Fund

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization George and Frances London Educational Foundation funds: left to right is the share of its income from government, bottom to top the share from George and Frances London Educational Foundation. 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%1%3%4%5%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    2report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    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.
    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to George and Frances London Educational Foundation?

    Find your warmest path to George and Frances London Educational Foundation 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 109 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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