Skip to content

· Private foundation

R B Kahn Charitable Trust

Its FY2023 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$686k
Granted FY2023
10
Grants FY2023
6
States reached
$69k
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, FY2019 to 2023.

Health$320kHuman Services$245kEducation$89kPublic Safety & Disaster$82kPhilanthropy$82k
02FY2023 · 10 grants

Where the money goes

Grants by size, and the largest recipients.

$68,571
Median grant
6
States reached
$0
Total assets
Largest grants
RecipientAmount
UNIVERSITY OF COLORADO$68,961
AMERICAN CANCER SOCIETY$68,571
THE SALVATION ARMY$68,571
UNITED CEREBRAL PALSY HEARTLAND$68,571
VILLAGE SHALOM INC$68,571
GREATER KC CHAP AMER RED CROSS$68,571
UNITED WAY OF GREATER KANSAS CITY$68,571
CHILDREN'S MERCY HOSPITAL$68,571
GILLIS HOME FOR CHILDREN$68,571
NATIONAL JEWISH HEALTH$68,181
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:

Its human-services grants (FY19–23, $82k) land where the poverty rate runs at 5%, against an area that typically sits at 10%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 10%VILLAGE SHALOM INC: $69k → 5%VILLAGE SHALOM INC: $4k → 5%VILLAGE SHALOM INC: $3k → 5%VILLAGE SHALOM INC: $3k → 5%VILLAGE SHALOM INC: $3k → 5%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 grantees
repeat funding

Who it funds again

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

100%of every dollar goes to organizations it has funded before.
$818k · 10 repeat orgs$0 to everyone else

10 repeat relationships: 10 still active in FY2023, 0 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

10
0

Total granted

$818k
$0

Still filing today

60%
0%

New vs renewed · share of each year

In FY2023, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’19’20’21’22’23
RenewedFirst-time

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

’19’20’21’22’23
HealthHuman ServicesOther
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

  • UC
    UNITED CEREBRAL PALSY HEARTLAND
    5× · 2019–2023 · $82k · revenue +77%
  • VS
    VILLAGE SHALOM INC
    5× · 2019–2023 · $82k · revenue +62%
  • TC
    The Children's Mercy Hospital
    5× · 2019–2023 · $82k · revenue +47%

Funded once

    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
    04the grantee network

    6 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. 6 of the 10 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)
    6/6
    Grantees still filing
    4/6
    Grew since first funded

    Where the money sits, by cause and then by grantee

    UNIVERSITY OF COLORADO: $88,787 · OtherUNIVERSITY OF COLORADOTHE SALVATION ARMY: $81,790 · OtherTHE SALVATION ARMYGREATER KC CHAP AMER RED CROSS: $81,790 · OtherGREATER KC CHAP AMER RED CROSSUnited Way of Greater Kansas City Inc: $81,790 · OtherUnited Way of Greater Kansas City IncGILLIS HOME FOR CHILDREN: $81,790 · OtherGILLIS HOME FOR CHILDRENAMERICAN CANCER SOCIETY INC: $81,790 · HealthAMERICAN CANCER SOCIETY INCUNITED CEREBRAL PALSY HEARTLAND: $81,790 · HealthUNITED CEREBRAL PALSY HEARTLANDThe Children's Mercy Hospital: $81,790 · HealthThe Children's Mercy HospitalNATIONAL JEWISH HEALTH: $74,790 · HealthNATIONAL JEWISH HEALTHVILLAGE SHALOM INC: $81,790 · Human ServicesVILLAGE SHA…
    Other$415,947Health$320,160Human Services$81,790

    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 budgetAMERICAN CANCER SOCIETY INC: $81,790 over 5y, 0.0% of budgetUNITED CEREBRAL PALSY HEARTLAND: $81,790 over 5y, 0.4% of budgetVILLAGE SHALOM INC: $81,790 over 5y, 0.3% of budgetThe Children's Mercy Hospital: $81,790 over 5y, 0.0% of budgetUnited Way of Greater Kansas City Inc: $81,790 over 5y, 0.2% of budgetNATIONAL JEWISH HEALTH: $74,790 over 5y, 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 AMERICAN CANCER SOCIETY INC ↗
    • Who funds UNITED CEREBRAL PALSY HEARTLAND ↗
    • Who funds VILLAGE SHALOM INC ↗
    • Who funds The Children's Mercy Hospital ↗
    • Who funds United Way of Greater Kansas City Inc ↗
    • Who funds NATIONAL JEWISH HEALTH ↗

    How much its grantees rely on government

    Each dot is one organization R B Kahn Charitable Trust funds: left to right is the share of its income from government, bottom to top the share from R B Kahn Charitable Trust. 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%4%8%11%15%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 · 0–15%
      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.

      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 10 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 2023, released 2023. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

      Source object · view filing

      Play a game based on R B Kahn’s filings →

      More from the funding graph