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· Public charity

Restless Legs Syndrome Foundation

The corporation is organized to increase scientific and public understanding of restless legs syndrome or rls, to encourage and provide funding for research leading to treatments and cure for the disease, to provide support to those suffering from the disease, to be the leading center for information on all aspects of the disease, and to…

$209k
Granted FY2025still arriving
4
Grants FY2025still arriving
4
States reached
$50k
Largest

Read this first · the figures below need context

63% of Restless Legs Syndrome Foundation’s FY2025 grant dollars went to The Board Of Trustees Of The Leland Stanford Junior University, not to grantees.

Its money now reaches organizations through that sponsor, which does not report who recommended each grant. FY2025 names 2 organizations directly, so a portfolio cannot be read from it.

Organizations named directly on the return

2
’17
2
’19
1
’20
1
’21
1
’22
1
’23
2
’24
2
’25

Amber years are those where most dollars went to a sponsor.

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 2025.

Science & Tech$391kHealth$179k
02FY2025 · 4 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 4 grants below total $159,982, the rows itemized in this filing. The $209,482 headline is the total grant expense on the return; the other $49,500 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 · FY2025

  • $10k–50k2 grants · $60k
  • $50k–250k2 grants · $100k
$50,000
Median grant
4
States reached
$1.0M
Total assets
Largest grants
RecipientAmount
STANFORD UNIVERSITY$50,000
PENNSYLVANIA STATE UNIVERSITY$50,000
YALE UNIVERSITY$49,982
THE GENERAL HOSPITAL CORPORATION$10,000
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 (FY17–25) land where the poverty rate runs at 14%, against an area that typically sits at 10%. 81% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 10%MASS GEN'L HOSP: $145k → 16%PENNSYLVANIA STATE UNIVERSITY: $50k → 12%STANFORD UNIVERSITY: $50k → 8%METHODIST HOSPITAL: $37k → 16%EMORY UNIVERSITY: $46k → 14%NATIONAL INSTITUTE ON DRUG ABUSE: $36k → 8%THE GENERAL HOSPITAL CORPORATION: $22k → 16%THE GENERAL HOSPITAL CORPORATION: $18k → 16%THE GENERAL HOSPITAL CORPORATION: $18k → 16%THE GENERAL HOSPITAL CORPORATION: $10k → 16%THE GENERAL HOSPITAL CORPORATION: $10k → 16%THE GENERAL HOSPITAL CORPORATION: $10k → 16%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: $50k on the FY2025 return

Schedule F, as filed: 1 region. The IRS asks for region and purpose, not the recipient, so no country or grantee can be named here.

Region not stated$50k · 100% · 1 grant

Stated purpose: RESEARCH GRANT

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

3 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. 3 of the 7 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)
3/3
Grantees still filing
2/3
Grew since first funded

Where the money sits, by cause and then by grantee

MASS GENERAL BRIGHAM INCORPORATED: $250,632 · OtherMASS GENERAL BRIGHAM INCORPORATEDPENNSYLVANIA STATE UNIVERSITY: $50,000 · OtherPENNSYLVANIA STATE UNIVERSITYMETHODIST HOSPITAL: $37,000 · OtherMETHODIST HOSPITALNIHNIA: $36,398 · OtherNIHNIAYale University: $99,843 · EducationYale UniversityTHE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY: $50,000 · EducationTHE BOARD OF TRUSTEES OF THE LELAND ST…Emory University: $46,296 · EducationEmory University
Other$374,030Education$196,139

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 budgetYale University: $99,843 over 2y, 0.0% of budgetEmory University: $46,296 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.

  • Who funds Yale University ↗
  • Who funds THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY ↗
  • Who funds Emory University ↗

How much its grantees rely on government

Each dot is one organization Restless Legs Syndrome Foundation funds: left to right is the share of its income from government, bottom to top the share from Restless Legs Syndrome 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%5%10%15%20%share of the org’s income from government →median 12%
  • Yale University: 12% of income from government
no gov moneyreceives it· size = income
0get no government money at all
0rely on government for over half their income
⤢ axis zoomed · 0–20%
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 Restless Legs Syndrome Foundation?

Find your warmest path to Restless Legs Syndrome 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 7 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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