Skip to content

· Private foundation

The Cross Lake Floatilla

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
7
Grants FY2025still arriving
1
States reached
$4k
Largest
01What it funds
0198% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2024.

Human Services$60kHousing & Shelter$51kPublic Benefit$18kReligion$4kPublic Safety & Disaster$2kRecreation & Sports$500Animals$250Other$0
02FY2025 · 7 grants

Where the money goes

Grants by size, and the largest recipients.

$4,000
Median grant
1
States reached
$2k
Total assets
Largest grants
RecipientAmount
Individual grant recipient$4,000
THE HUB MINISTRIES$4,000
THE JEWEL HOUSE$4,000
EL KARUBAH SHRINERS$4,000
WOODY HOME FOR VETERANS$4,000
PET SAVERS$1,000
NINNA'S ROAD TO RESCUE$1,000
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 (FY18–18, $500) land where the poverty rate runs at 13%, against an area that typically sits at 18%. 0% of those dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 18%WARRIOR NETWORK: $500 → 13%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.

81%of every dollar goes to organizations it has funded before.
$127k · 8 repeat orgs$30k to everyone else

8 repeat relationships: 2 still active in FY2025, 6 since wound down; 5 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

8
11

Total granted

$127k
$16k

Median revenue growth · since first grant

+36%
+53%

Still filing today

25%
18%

New vs renewed · share of each year

In FY2025, 36% of grant dollars renewed an existing relationship; $14k went to new ones.

50%100%’17’18’19’20’21’22’23’24’25
RenewedFirst-time

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

’17’18’19’20’21’22’23’24’25
AnimalsHealthCommunity ImprovementHuman ServicesHousing & ShelterOther
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

  • IG
    Individual grant recipient
    3× · 2023–2025 · $48k
  • HO
    HEART OF HOPE MINISTRIES INC
    4× · 2017–2022 · $46k · revenue +25%
  • IG
    Individual grant recipient
    7× · 2018–2024 · $15k

Funded once

  • HO
    HEARTS OF HOPE MINISTIRES INC
    one grant, 2020 · $8k
  • HO
    HEARTS OF HOPE MINISTIES INC
    one grant, 2018 · $3k
  • 1D
    12TH DISTRIST HONOR GUARD
    one grant, 2019 · $1k
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

7 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. 7 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)
1
Early backer (in before they grew)
7/7
Grantees still filing
5/7
Grew since first funded

Where the money sits, by cause and then by grantee

Individual grant recipient: $48,000 · OtherIndividual grant recipientIndividual grant recipient: $14,600 · OtherIndividual grant recipientHEARTS OF HOPE MINISTIRES INC: $8,050 · OtherHEARTS OF HOPE MINISTIRES INCEL KARUBAH SHRINERS: $4,000 · OtherTHE HUB MINISTRIES: $4,000 · OtherTHE JEWEL HOUSE: $4,000 · OtherHUB MINISTRY: $3,500 · Other+11 more: $14,200 · Other+11 moreHEART OF HOPE MINISTRIES INC: $45,800 · HealthHEART OF HOPE MINISTRIES INCWoodys Home for Veterans: $8,018 · Housing & ShelterNINNA'S ROAD TO RESCUE: $1,000 · AnimalsPET SAVERS INC: $1,000 · AnimalsPROVIDENCE HOUSE: $500 · Community ImprovementEVERY WARRIOR NETWORK: $500 · Human Services
Other$100,350Health$45,800Housing & Shelter$8,018Animals$2,000Community Improvement$500Human Services$500

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 budgetHEART OF HOPE MINISTRIES INC: $45,800 over 4y, 3.1% of budgetWoodys Home for Veterans: $8,018 over 6y, 0.9% of budgetNINNA'S ROAD TO RESCUE: $1,000 over 1y, 0.4% of budgetPET SAVERS INC: $1,000 over 1y, 0.5% of budgetPROVIDENCE HOUSE: $500 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 HEART OF HOPE MINISTRIES INC ↗
  • Who funds Woodys Home for Veterans ↗
  • Who funds EL KARUBAH SHRINERS ↗
  • Who funds NINNA'S ROAD TO RESCUE ↗
  • Who funds PET SAVERS INC ↗
  • Who funds PROVIDENCE HOUSE ↗
  • Who funds EVERY WARRIOR NETWORK ↗

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.

Community Foundation of North LouisianaLA13.6× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Community Foundation of North Louisiana

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 The Cross Lake Floatilla funds: left to right is the share of its income from government, bottom to top the share from The Cross Lake Floatilla. Bigger dots raise more.

2023
’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 →
    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 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

    Play a game based on Cross Lake Floatilla’s filings →

    More from the funding graph