Skip to content

· Private foundation

Visiting Nurses Association of Hardee County

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$22k
Granted FY2025still arriving
10
Grants FY2025still arriving
1
States reached
$16k
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, FY2019 to 2025.

Education$120kHealth$12kFood & Nutrition$6kHuman Services$4kReligion$3kOther$0
02FY2025 · 10 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • Under $10k9 grants · $6k
  • $10k–50k1 grant · $16k
$350
Median grant
1
States reached
$450k
Total assets
Largest grants
RecipientAmount
HARDEE EDUCATION FOUNDATION$15,600
ADVENT HEALTH WAUCHULA FOUNDATION$2,000
HARDEE HIGH SCHOOL$2,000
ST AMARO POST-ACUTE AND REHAB CENT$350
CUTTING EDGE MINISTRIES$350
Individual grant recipient$350
ST MICHAEL'S CATHOLIC CHURCH$350
SEND ME MISSIONS$350
HARDEE HELP CENTER$350
FUMC WAUCHULA FOOD MINISTRY$350
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 (FY21–25, $3k) land where the poverty rate runs at 25%, against an area that typically sits at 22%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 22%HARDEE HELP CENTER: $1k → 25%HARDEE HELP CENTER: $750 → 25%HARDEE HELP CENTER: $500 → 25%HARDEE HELP CENTER: $350 → 25%HARDEE HELP CENTER: $350 → 25%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.

65%of every dollar goes to organizations it has funded before.
$96k · 13 repeat orgs$52k to everyone else

13 repeat relationships: 10 still active in FY2025, 3 since wound down.

How the two cohorts compare

Re-uppedFunded once

Organizations

13
47

Total granted

$96k
$52k

Still filing today

23%
0%

New vs renewed · share of each year

In FY2025, 100% of grant dollars renewed an existing relationship; $0 went to new ones.

50%100%’19’20’21’22’23’24’25
RenewedFirst-time

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

’19’20’21’22’23’24’25
EducationHuman ServicesOther
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

  • SI
    SENDMEMISSIONS INC
    5× · 2021–2025 · $3k · revenue +282%
  • HC
    HARDEE COUNTY MINISTERIAL ASSOCIATION INC
    5× · 2021–2025 · $3k · revenue +26%
  • CE
    CUTTING EDGE MINISTRIES
    5× · 2021–2025 · $3k · revenue +12%

Funded once

  • IG
    Individual grant recipient
    one grant, 2023 · $2k
  • IG
    Individual grant recipient
    one grant, 2023 · $2k
  • IG
    Individual grant recipient
    one grant, 2023 · $2k
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 60 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)
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

HARDEE EDUCATION FOUNDATION: $50,100 · OtherHARDEE EDUCATION FOUNDATIONHARDEE HIGH SCHOOL: $11,500 · OtherHARDEE HIGH SCHOOLADVENT HEALTH WAUCHULA FOUNDATION: $9,500 · OtherADVENT HEALTH WAUCHULA FOUNDATION+55 more: $71,050 · Other+55 moreSENDMEMISSIONS INC: $2,950 · EducationHARDEE COUNTY MINISTERIAL ASSOCIATION INC: $2,950 · Human Services
Other$142,150Education$2,950Human Services$2,950

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

25%50%75%100%$1.0Mgrantee revenue →↑ funder's share of their budgetSENDMEMISSIONS INC: $2,950 over 5y, 0.3% of budgetHARDEE COUNTY MINISTERIAL ASSOCIATION INC: $2,950 over 5y, 0.2% of budgetCUTTING EDGE MINISTRIES: $2,950 over 5y, 0.5% 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 SENDMEMISSIONS INC ↗
  • Who funds HARDEE COUNTY MINISTERIAL ASSOCIATION INC ↗
  • Who funds CUTTING EDGE MINISTRIES ↗

How much its grantees rely on government

Each dot is one organization Visiting Nurses Association of Hardee County funds: left to right is the share of its income from government, bottom to top the share from Visiting Nurses Association of Hardee County. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 10%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%
  • Sendmemissions Inc: 0% of income from government
no gov moneyreceives it· size = income
1get 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, FY20–24
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 60 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

Play a game based on Visiting Nurses Association of Hardee County’s filings →

More from the funding graph