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· Private foundation

The Washington Redskins Original Americans Foundation

Its FY2018 filing reports that it accepted unsolicited grant applications.

$303k
Granted FY2018
57
Grants FY2018
9
States reached
$53k
Largest
01What you fund
01

What you funded, over time

By grantee IRS cause code (NTEE).

A cause breakdown isn’t shown here: 99% of The Washington Redskins Original Americans Foundation’s grantee dollars fall outside its nine largest cause areas, whether because the recipient carries no IRS cause code or because its cause sits in the long tail. A chart would be mostly one residual band and misrepresent the portfolio.

02FY2018 · 57 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2018

  • Under $10k52 grants · $155k
  • $10k–50k4 grants · $95k
  • $50k–250k1 grant · $53k
$3,430
Median grant
9
States reached
$1k
Total assets
Largest grants
RecipientAmount
Pueblo of Zuni$53,157
Iowa Tribe of Kansas and Nebraska$46,869
Ft Peck Assiniboine and Sioux Tribe$20,000
Lower Brule Sioux Tribe$15,350
Gallup McKinley County Schools$13,200
Santa Fe Indian School$6,600
Hill County School District$6,600
Window Rock High School$6,600
McLoud High School$6,600
Holbrook High School$6,600
Piedra Vista High School$6,600
Taos High School$6,600
Window Rock High School$5,279
Zuni High School$4,735
Page High School$3,893
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 (FY17–18) land where the poverty rate runs at 22%, against an area that typically sits at 12%. 98% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 12%Page High School: $4k → 16%White Mountain Apache Tribe: $20k → 19%Joseph City High School: $4k → 26%Window Rock High School: $7k → 28%Hill County School District: $7k → 18%Crow Nation: $5k → 23%Ft Peck Assiniboine and Sioux Tribe: $20k → 24%Santa Fe Indian School: $7k → 12%Valley High School: $4k → 14%Taos High School: $7k → 18%Mescalero High School: $4k → 20%Farmington High School: $4k → 22%Ramah High School: $4k → 30%Pueblo of Zuni: $53k → 32%Delaware Tribe of Indians: $20k → 14%McLoud High School: $7k → 19%Catawba Indian Nation: $22k → 8%Iowa Tribe of Kansas and Nebraska: $47k → 14%Lower Brule Sioux Tribe: $63k → 22%Crow Creek Sioux Tribe: $36k → 40%Aroostook Band of Micmac: $119k → 15%Page Jr High School: $4k → 16%Window Rock High School: $5k → 28%Chippewa Cree Tribe: $125k → 18%Ft Peck Assiniboine and Sioux Tribe: $20k → 24%Taos High School: $4k → 18%Pueblo of Zuni: $10k → 32%Iowa Tribe of Kansas and Nebraska: $36k → 14%Monticello High School: $4k → 23%Lower Brule Sioux Tribe: $15k → 22%Window Rock High School: $4k → 28%Rocky Boy High School: $23k → 18%Zuni High School: $5k → 32%Winslow High School: $4k → 26%Red Mesa High School: $26k → 28%Laguna Acoma High School: $4k → 30%Crownpoint High School: $4k → 32%Red Mesa Jr HS: $4k → 28%Holbrook High School: $7k → 26%Piedra Vista High School: $8k → 22%Snowflake High School: $4k → 26%Piedra Vista High School: $7k → 22%Holbrook High School: $4k → 26%Ganado High School: $4k → 28%Gallup McKinley County Schools: $13k → 32%Miyamura High School: $4k → 32%Aztec High School: $4k → 22%Thoreau Middle School: $4k → 32%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.

Which US states your grants reach

ME
MT
WY
SD
CA
UT
AZ
NM
KS
SC
OK

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.

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.

40%of every dollar goes to organizations you’ve funded before.
$383k · 20 repeat orgs$570k to everyone else

20 repeat relationships — 20 still active in FY2018, 0 since wound down; 32 grantees were first funded in FY2018 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

20
26

Total granted

$383k
$453k

Still filing today

0%
4%

New vs renewed · share of each year

In FY2018, 61% of grant dollars renewed an existing relationship; $118k went to new ones.

50%100%’17’18
RenewedFirst-time

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

  • IT
    Iowa Tribe of Kansas and Nebraska
    2× · 2017–2018 · $83k
  • LB
    Lower Brule Sioux Tribe
    2× · 2017–2018 · $78k
  • PO
    Pueblo of Zuni
    2× · 2017–2018 · $63k

Funded once

  • CC
    Chippewa Cree Tribe
    one grant, 2017 · $125k
  • AB
    Aroostook Band of Micmac
    one grant, 2017 · $119k
  • CC
    Crow Creek Sioux Tribe
    one grant, 2017 · $36k

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

3 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. 3 of the 78 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)
0
Early backer (in before they grew)
3/3
Grantees still filing
3/3
Grew since you first funded

Where your money sits — by cause, then by grantee

Chippewa Cree Tribe — $125,000 · OtherChippewa Cree TribeAroostook Band of Micmac — $119,442 · OtherAroostook Band of MicmacIowa Tribe of Kansas and Nebraska — $83,134 · OtherIowa Tribe of Kansas and NebraskaLower Brule Sioux Tribe — $78,216 · OtherLower Brule Sioux TribePueblo of Zuni — $63,157 · OtherPueblo of ZuniFt Peck Assiniboine and Sioux Tribe — $40,000 · OtherCrow Creek Sioux Tribe — $36,265 · Other+68 more — $394,559 · Other+68 moreSANTA FE INDIAN SCHOOL — $6,600 · EducationNavajo Preparatory School Inc — $3,745 · EducationSICANGU OYATE HO INC DBA ST FRANCIS INDIAN SCHOOL — $2,887 · Education
Other$939,773Education$13,232

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

25%50%75%100%grantee revenue →↑ your share of their budgetSANTA FE INDIAN SCHOOL — $6,600 over 1y, 0.0% of budgetNavajo Preparatory School Inc — $3,745 over 1y, 0.1% of budgetSICANGU OYATE HO INC DBA ST FRANCIS INDIAN SCHOOL — $2,887 over 1y, 0.0% 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 SANTA FE INDIAN SCHOOL

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 set of overlaps that mostly run through you, not between each other.

First Nations Development InstituteCO13.4× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: First Nations Development Institute

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 The Washington Redskins Original Americans Foundation 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.

2025
202122232425
no gov · 00%0%1%3%5%your share of their income ↑0%25%50%75%100%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
    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 The Washington Redskins Original Americans Foundation?

    Find your warmest path to The Washington Redskins Original Americans 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 directly from IRS e-file XML — your own 990/990-PF and the multi-year returns of the 78 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-PF e-file return for fiscal year 2018, released 2018. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Source object · view filing

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