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· Public charity

Wilbarger County United Fund

The Wilbarger County United Fund is a non-profit organization formed to bring together in a united appeal, all possible campaigns of community accepted health, welfare, and recreational agencies, including local, state and national service organizations.

$108k
Granted FY2020
7
Grants FY2020
1
States reached
$52k
Largest
01What it funds
0193% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2020.

Youth Development$210kFood & Nutrition$76kRecreation & Sports$58kHuman Services$47kCommunity Improvement$13kAnimals$12kOther$0
02FY2020 · 7 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2020

  • Under $10k4 grants · $21k
  • $10k–50k2 grants · $35k
  • $50k–250k1 grant · $52k
$9,907
Median grant
1
States reached
$26k
Total assets
Largest grants
RecipientAmount
Boys & Girls Club$52,037
Meals on Wheels$20,126
Camp Fire$14,495
Salvation Army$9,907
Wilbarger Humane Society$4,067
Wilbarger County Child Welfare$3,650
New Visions Economic Development Center$3,650
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 (FY17–20, $76k) land where the poverty rate runs at 17%, against an area that typically sits at 21%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 21%Meals on Wheels: $22k → 17%Meals on Wheels: $20k → 17%Meals on Wheels: $18k → 17%Meals on Wheels: $16k → 17%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.
$428k · 8 repeat orgs$401 to everyone else

8 repeat relationships: 7 still active in FY2020, 1 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

8
1

Total granted

$428k
$401

Still filing today

38%
0%

New vs renewed · share of each year

In FY2020, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’17’18’19’20
RenewedFirst-time

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

’17’18’19’20
Human ServicesYouth DevelopmentAnimalsOther
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

  • MO
    MEALS ON WHEELS
    4× · 2017–2020 · $76k · revenue +23%
  • WC
    Wilbarger County Council Campfire Inc
    4× · 2017–2020 · $58k · revenue +10% · 33% of their budget
  • WH
    WILBARGER HUMANE SOCIETY
    3× · 2018–2020 · $12k · revenue +106%

Funded once

  • BS
    Boy Scouts
    one grant, 2017 · $401
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

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 9 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.

1
Load-bearing (≥25% of a budget)
1
Early backer (in before they grew)
3/3
Grantees still filing
3/3
Grew since first funded

Where the money sits, by cause and then by grantee

Boys & Girls Club: $210,095 · OtherBoys & Girls ClubSalvation Army: $32,916 · OtherSalvation ArmyWilbarger County Child Welfare: $13,848 · OtherNew Visions Economic Development Center: $13,045 · OtherIndividual grant recipient: $12,012 · Other+1 more: $401 · OtherMEALS ON WHEELS: $75,913 · Human ServicesMEALS ON WHEELSWilbarger County Council Campfire Inc: $57,929 · Youth DevelopmentWilbarger Count…WILBARGER HUMANE SOCIETY: $12,428 · Animals
Other$282,317Human Services$75,913Youth Development$57,929Animals$12,428

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$100kgrantee revenue →↑ funder's share of their budgetMEALS ON WHEELS: $75,913 over 4y, 16% of budgetWilbarger County Council Campfire Inc: $57,929 over 4y, 33% of budgetWILBARGER HUMANE SOCIETY: $12,428 over 3y, 4.1% 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 MEALS ON WHEELS ↗
  • Who funds Wilbarger County Council Campfire Inc ↗
  • Who funds WILBARGER HUMANE SOCIETY ↗

How much its grantees rely on government

Each dot is one organization Wilbarger County United Fund funds: left to right is the share of its income from government, bottom to top the share from Wilbarger County United Fund. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%2%8%17%30%funder's 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, 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 9 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 2020, released 2020. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2021) is on record and reports no grant expense, so the figures above are from FY2020, the most recent year this funder made grants.

    Source object · view filing

    Play a game based on Wilbarger County United’s filings →

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