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· Public charity

Wyoming Hospital Research & Education Foundation Inc

Bringing better health care to the people of wyoming.

$319k
Granted FY2019
20
Grants FY2019
7
States reached
$40k
Largest
01What you fund
01

What you funded, over time

By grantee IRS cause code (NTEE).

A cause breakdown isn’t shown here: 83% of WYOMING HOSPITAL RESEARCH & EDUCATION FOUNDATION INC’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.

02FY2019 · 20 grants

Where the money goes

Your grants by size, and where they go.

By grant size · FY2019

  • Under $10k5 grants · $40k
  • $10k–50k15 grants · $280k
$12,698
Median grant
7
States reached
$78k
Total assets
Largest grants
RecipientAmount
CAMPBELL COUNTY HEALTH$40,220
Individual grant recipient$28,414
CODY REGIONAL HEALTH$27,596
NEWCASTLE AMBULANCE SERVICE$27,549
POWELL VALLEY HEALTHCARE$26,116
CITY OF RAWLINS ATTN DAVE GIER$17,795
GRAINGER DEPT XXX-XX-XXXX$15,766
NORTH BIG HORN HOSPITAL$13,719
Individual grant recipient$12,952
CARBON COUNTY PUBLIC HEALTH ATTN AMANDA BROWN$12,698
WASHAKIE COUNTY AMBULANCE SERVICE$12,131
Individual grant recipient$11,855
CROOK COUNTY MEDICAL SERVICES DISTRICT$11,747
COUNTERTRADE PRODUCTS INC$11,066
SOUTH CENTRAL WYOMING EMS$10,112
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 (FY17–19) land where the poverty rate runs at 11%, against an area that typically sits at 9%. 92% of your dollars go to grantees based in above-average-need neighborhoods. Most of your grants land in higher-need ZIPs.

area typical 9%ISIMULATE ALBANY MEDICAL CENTER: $9k → 14%NORTH AMERICA RESCUE: $28k → 10%COUNTERTRADE PRODUCTS INC: $11k → 7%NORTHERN COLORADO MEDICAL CENTER: $13k → 9%FIRST LINE TECHNOLOGY: $13k → 6%SUBLETTE COUNTY RURAL HEALTH CARE DISTRICT: $5k → 8%CROOK COUNTY MEDICAL SERVICES DISTRICT: $12k → 9%DAYTON RESCUE: $13k → 10%CODY REGIONAL HEALTH: $28k → 11%WYOMING MEDICAL CENTER: $53k → 11%WASHAKIE COUNTY AMBULANCE SERVICE: $12k → 11%NEWCASTLE AMBULANCE SERVICE: $28k → 12%CITY OF RAWLINS ATTN DAVE GIER: $18k → 12%HOT SPRINGS COUNTY MEMORIAL HOSPITAL: $8k → 13%SOUTH BIG HORN HOSPITAL: $13k → 14%FREMONT COUNSELING SERVICE: $7k → 17%NORTHERN COLORADO MEDICAL CENTER: $7k → 9%CROOK COUNTY MEDICAL SERVICES DISTRICT: $6k → 9%SHERIDAN MEMORIAL HOSPITAL: $7k → 10%CODY REGIONAL HEALTH: $28k → 11%COUNTY OF NATRONA WYOMING: $40k → 11%WESTON COUNTY HEALTH SERVICES: $7k → 12%CARBON COUNTY PUBLIC HEALTH ATTN AMANDA BROWN: $13k → 12%HOT SPRINGS COUNTY MEMORIAL HOSPITAL: $7k → 13%BIG HORN COUNTY EMERGENCY MANAGEMENT: $6k → 14%FREMONT COUNTY PUBLIC HEALTH: $7k → 17%WEST PARK HOSPITAL DISTRICT: $7k → 11%COUNTY OF NATRONA WYOMING: $31k → 11%RAWLINS FIRE DEPARTMENT: $12k → 12%SOUTH BIG HORN HOSPITAL: $5k → 14%POWELL VALLEY HEALTHCARE: $26k → 11%WYOMING MEDICAL CENTER: $24k → 11%CARBON COUNTY FIRE DEPARTMENT: $10k → 12%NORTH BIG HORN HOSPITAL: $28k → 14%SOUTH CENTRAL WYOMING EMS: $10k → 12%NORTH BIG HORN HOSPITAL: $14k → 14%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.

62%of every dollar goes to organizations you’ve funded before.
$454k · 9 repeat orgs$274k to everyone else

9 repeat relationships — 4 still active in FY2019, 5 since wound down; 16 grantees were first funded in FY2019 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

9
6

Total granted

$454k
$48k

Still filing today

22%
0%

New vs renewed · share of each year

In FY2019, 29% of grant dollars renewed an existing relationship; $226k went to new ones.

50%100%’17’18’19
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

  • CC
    CAMPBELL COUNTY HOSPITAL DISTRICT
    3× · 2017–2019 · $132k
  • WM
    WYOMING MEDICAL CENTER INC
    2× · 2017–2018 · $77k · revenue +12%
  • CO
    COUNTY OF NATRONA WYOMING
    2× · 2017–2018 · $71k

Funded once

  • DR
    DAYTON RESCUE
    one grant, 2018 · $13k
  • CC
    CARBON COUNTY FIRE DEPARTMENT
    one grant, 2018 · $10k
  • WC
    WESTON COUNTY HEALTH SERVICES
    one grant, 2017 · $7k

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

4 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. 4 of the 31 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)
1
Early backer (in before they grew)
4/4
Grantees still filing
4/4
Grew since you first funded

Where your money sits — by cause, then by grantee

CAMPBELL COUNTY HOSPITAL DISTRICT — $132,259 · OtherCAMPBELL COUNTY HOSPITAL DISTRICTCOUNTY OF NATRONA WYOMING — $70,585 · OtherCOUNTY OF NATRONA WYOMINGCODY REGIONAL HEALTH — $61,742 · OtherCODY REGIONAL HEALTHNORTH BIG HORN HOSPITAL — $41,541 · OtherNORTH BIG HORN HOSPITALIndividual grant recipient — $28,414 · OtherNEWCASTLE AMBULANCE SERVICE — $27,549 · Other+21 more — $241,133 · Other+21 moreWYOMING MEDICAL CENTER INC — $76,913 · HealthWYOMING MEDICAL CEN…POWELL VALLEY HEALTH CARE INC — $26,116 · HealthPOWELL VALLEY HEALT…Hot Springs County Hospital District — $14,700 · HealthHot Springs County …FREMONT COUNSELING SERVICE INC — $7,177 · HealthFREMONT COUNSELING …
Other$603,223Health$124,906

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

25%50%75%100%$10M$100Mgrantee revenue →↑ your share of their budgetWYOMING MEDICAL CENTER INC — $76,913 over 2y, 0.0% of budgetPOWELL VALLEY HEALTH CARE INC — $26,116 over 1y, 0.1% of budgetHot Springs County Hospital District — $14,700 over 2y, 0.0% of budgetFREMONT COUNSELING SERVICE INC — $7,177 over 1y, 0.3% 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 WYOMING MEDICAL CENTER INC
  • Who funds POWELL VALLEY HEALTH CARE INC
  • Who funds Hot Springs County Hospital District
  • Who funds FREMONT COUNSELING SERVICE INC

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.

Developmental Preschool and Day CareWY15.7× affinity5 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: Developmental Preschool and Day Care · The Leona M and Harry B Helmsley Charitable Trust

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 Wyoming Hospital Research & Education Foundation Inc 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.

2024
202122232425
no gov · 00%0%1%3%5%your 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
    1report 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, 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 Wyoming Hospital Research & Education Foundation Inc?

    Find your warmest path to Wyoming Hospital Research & Education Foundation Inc 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 31 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 2019, released 2019. Filings run roughly 12–24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2022) is on record but names no grant recipient (grants abroad are filed by region only, and grants under $5,000 are not itemized), so the figures above are from FY2019, the most recent year this funder named its grantees.

    Source object · view filing

    More from the funding graph