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Plinth

· Public charity

Western Assoc of State Hwy & Transportation Officials

The purpose of washto is to serve its member departments by: contributing to national policies on transportation issues that are responsive to members' needs; promoting a closer relationship between its members; advocating legislation that supports efficient and effective transportation systems, economic competitiveness and the…

$37k
Granted FY2021
2
Grants FY2021
2
States reached
$11k
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 FY20182021.

Community Improvement$147k
02FY2021 · 2 grants

Where the money goes

Your grants by size, and where they go.

The 2 grants below total $21,000 — the rows itemised in this filing. The $36,934 headline is the total grant expense reported on the return, so the remaining $15,934 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.

$10,500
Median grant
2
States reached
$659k
Total assets
Largest grants
RecipientAmount
SOUTH DAKOTA DEPARTMENT OF TRANSPORTATION$10,500
NEBRASKA DEPARTMENT OF TRANSPORTATION$10,500
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 (FY18–21) land where the poverty rate runs at 11%, against an area that typically sits at 9%. 82% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 9%NEBRASKA DEPARTMENT OF TRANSPORTATION: $11k → 13%OKLAHOMA DEPARTMENT OF TRANSPORTATION: $11k → 16%UTAH DEPARTMENT OF TRANSPORTATION: $10k → 8%NORTH DAKOTA DEPARTMENT OF TRANSPORTATION: $10k → 10%SOUTH DAKOTA DEPARTMENT OF TRANSPORTATION: $13k → 10%NEBRASKA DEPARTMENT OF TRANSPORTATION: $8k → 13%OKLAHOMA DEPARTMENT OF TRANSPORTATION: $11k → 16%UTAH DEPARTMENT OF TRANSPORTATION: $7k → 8%NORTH DAKOTA DEPARTMENT OF TRANSPORTATION: $10k → 10%SOUTH DAKOTA DEPARTMENT OF TRANSPORTATION: $12k → 10%UTAH DEPARTMENT OF TRANSPORTATION: $5k → 8%SOUTH DAKOTA DEPARTMENT OF TRANSPORTATION: $12k → 10%SOUTH DAKOTA DEPARTMENT OF TRANSPORTATION: $11k → 10%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.

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.

96%of every dollar goes to organizations you’ve funded before.
$141k · 6 repeat orgs$5k to everyone else

6 repeat relationships — 2 still active in FY2021, 4 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

6
1

Total granted

$141k
$5k

Still filing today

0%
0%

New vs renewed · share of each year

In FY2021, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’18’19’20’21
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

  • SD
    SOUTH DAKOTA STATE UNIVERSITY
    4× · 2018–2021 · $47k
  • SO
    STATE OF UTAH GOVERNOR'S OFFICE OF ECONOMIC DEVELOPMENT
    3× · 2018–2020 · $23k
  • UO
    UNIVERSITY OF OKLAHOMA
    2× · 2018–2019 · $21k

Funded once

  • DO
    DEPARTMENT OF PUBLIC HEALTH & HUMAN SERVICES
    one grant, 2019 · $5k

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

0 grantees tracked through their own filings, 2018–2021.

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 20182021, not grant rows in a single year — so this will not match the grant count on the cover. 0 of the 7 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)
0/0
Grantees still filing
0/0
Grew since you first funded

Where your money sits — by cause, then by grantee

SOUTH DAKOTA STATE UNIVERSITY — $47,277 · OtherSOUTH DAKOTA STATE UNIVERSITYSTATE OF UTAH GOVERNOR'S OFFICE OF ECONOMIC DEVELOPMENT — $23,003 · OtherSTATE OF UTAH GOVERNOR'S OFFICE OF ECONOMIC DEVELOPMENTUNIVERSITY OF OKLAHOMA — $21,000 · OtherUNIVERSITY OF OKLAHOMAND INDUSTRIAL COMMISSION — $19,976 · OtherND INDUSTRIAL COMMISSIONNEBRASKA GAME AND PARKS COMMISSION — $18,000 · OtherNEBRASKA GAME AND PARKS COMMISSIONWASHINGTON STATE DEPARTMENT OF TRANSPORTATION (WSDOT) — $12,012 · OtherWASHINGTON STATE DEPARTMENT OF TRANSPORTATION (WSDOT)DEPARTMENT OF PUBLIC HEALTH & HUMAN SERVICES — $5,373 · Other
Other$146,641

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 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.

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.

Association of Public HealthMD13.8× affinity4 shared granteesties to 2 of 2Hover any node to trace its alignments.Compare side by side →

Open a dossier: Association of Public Health · Council of State and Territorial · National Fish and Wildlife 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.

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 7 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 2021, released 2021. Filings run roughly 12–24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2025) is on record and reports no grant expense, so the figures above are from FY2021, the most recent year this funder made grants.

Source object · view filing

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