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· Private foundation

Wright Family Educational Fdtn Inc

Its FY2024 filing reports that it accepted unsolicited grant applications.

$12k
Granted FY2024still arriving
16
Grants FY2024still arriving
2
States reached
$3k
Largest
01What it funds
0194% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2021 to 2024.

Education$18kPublic Benefit$9kYouth Development$2kAnimals$1kHuman Services$1kFood & Nutrition$1kPhilanthropy$500Employment$100Other$0
02FY2024 · 16 grants

Where the money goes

Grants by size, and the largest recipients.

$500
Median grant
2
States reached
$240k
Total assets
Largest grants
RecipientAmount
CITY OF WILLOWBROOK$2,500
HAVEN USD 312$2,500
HUTCHINSON COMM COLLEGE$2,000
BOYS GIRLS CLUB OF HUTCHINSON$1,000
FT HAYS ST UNIV$1,000
SALT HAWK COMMUNITY SUPPORT$500
CAUSE FOR PAWS$500
Individual grant recipient$500
SALVATION ARMY$300
BIG BROTHERSBIG SISTERS$250
WINDY HILL DOG HAVEN$250
EARLY EDUC CENTER$250
AGING PROJECTS INC$250
KS FOOD BANK$250
BEAUTIES AND BEASTS$200
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 (FY21–24, $700) land where the poverty rate runs at 14%, against an area that typically sits at 13%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 13%WOUNDED WARRIOR PROJECT: $250 → 14%WOUNDED WARRIOR PROJECT: $100 → 14%WOUNDED WARRIOR PROJECT: $100 → 14%PROJECT CONCERN: $100 → 15%PROJECT CONCERN: $100 → 15%PROJECT CONCERN: $50 → 15%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.

76%of every dollar goes to organizations it has funded before.
$29k · 12 repeat orgs$9k to everyone else

12 repeat relationships: 10 still active in FY2024, 2 since wound down; 6 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

12
6

Total granted

$29k
$5k

Still filing today

25%
0%

New vs renewed · share of each year

In FY2024, 64% of grant dollars renewed an existing relationship; $4k went to new ones.

50%100%’21’22’23’24
RenewedFirst-time

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

’21’22’23’24
Human ServicesAnimalsFood & NutritionOther
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

  • AP
    AGING PROJECTS INC
    3× · 2022–2024 · $750 · revenue +26%
  • WOUNDED WARRIOR PROJECT INC
    3× · 2021–2023 · $450 · revenue +27%
  • PC
    PROJECT CONCERN INC
    3× · 2022–2024 · $250 · revenue +1%

Funded once

  • IG
    Individual grant recipient
    one grant, 2023 · $2k
  • IG
    Individual grant recipient
    one grant, 2023 · $1k
  • RU
    RISE UP RENO COUNTY
    one grant, 2023 · $500
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

5 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. 5 of the 24 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)
4/5
Grantees still filing
3/5
Grew since first funded

Where the money sits, by cause and then by grantee

HAVEN USD 312: $13,500 · OtherHAVEN USD 312CITY OF WILLOWBROOK: $9,000 · OtherCITY OF WILLOWBROOKHUTCHINSON COMM COLLEGE: $2,000 · OtherHUTCHINSON COMM COLLEGEIndividual grant recipient: $2,000 · OtherIndividual grant recipientBOYS GIRLS CLUB OF HUTCHINSON: $1,350 · Other+14 more: $7,050 · Other+14 moreCAUSE FOR PAWS INC: $950 · AnimalsBEAUTIES AND BEASTS INC: $200 · AnimalsAGING PROJECTS INC: $750 · Food & NutritionWOUNDED WARRIOR PROJECT INC: $450 · Human ServicesPROJECT CONCERN INC: $250 · Human Services
Other$34,900Animals$1,150Food & Nutrition$750Human Services$700

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

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetCAUSE FOR PAWS INC: $950 over 4y, 0.1% of budgetAGING PROJECTS INC: $750 over 3y, 0.0% of budgetWOUNDED WARRIOR PROJECT INC: $450 over 3y, 0.0% of budgetPROJECT CONCERN INC: $250 over 3y, 0.0% of budgetBEAUTIES AND BEASTS INC: $200 over 1y, 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 CAUSE FOR PAWS INC ↗
  • Who funds AGING PROJECTS INC ↗
  • Who funds WOUNDED WARRIOR PROJECT INC ↗
  • Who funds PROJECT CONCERN INC ↗
  • Who funds BEAUTIES AND BEASTS INC ↗

Co-funders

Grantmakers whose grantees overlap with this funder’s far more than size alone predicts. Closer means stronger alignment; arcs show where they also fund each other. Here they form a set of overlaps that mostly run through this funder rather than between each other.

Amazonsmile FoundationWA2.1× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Amazonsmile Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

Each dot is one organization Wright Family Educational Fdtn Inc funds: left to right is the share of its income from government, bottom to top the share from Wright Family Educational Fdtn Inc. 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%1%3%4%5%share of the org’s income from government →median 0%
  • Wounded Warrior Project Inc: 0% of 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 · 0–5%
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 24 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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