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· Public charity

White Bear Lake Lions Club

Serve the local communities by conducting fundraising events to provide funds for the support of food shelves, senior citizen programs, school districts, hearing and sight progams, youth activities, and other

$145k
Granted FY2025still arriving
6
Grants FY2025still arriving
3
States reached
$29k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2025.

Public Benefit$485kEducation$234kFood & Nutrition$142kPhilanthropy$46kHousing & Shelter$38kArts & Culture$27kInternational$20kHealth$6k
02FY2025 · 6 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 6 grants below total $92,262, the rows itemized in this filing. The $144,889 headline is the total grant expense on the return; the other $52,627 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.

By grant size · FY2025

  • Under $10k1 grant · $6k
  • $10k–50k5 grants · $86k
$10,550
Median grant
3
States reached
$417k
Total assets
Largest grants
RecipientAmount
WBL Area Schools$29,212
White Bear Lake Area Historical Society$26,500
WBL Area Food Shelf$10,550
Lions Club International Foundation$10,000
Sleep in Heavenly Peace Inc$10,000
Hugo Yellow Ribbon Network$6,000
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:

Dollar for dollar, its grants (FY17–25) land where the poverty rate runs at 13%, against an area that typically sits at 7%. 90% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 7%Sleep in Heavenly Peace Inc: $18k → 13%Hugo Yellow Ribbon Network: $6k → 6%City of White Bear Lake: $227k → 14%American Cancer Society: $6k → 13%Lions Club Intl Foundation: $20k → 7%Sleep in Heavenly Peace Inc: $10k → 13%Hugo Yellow Ribbon Network: $6k → 6%City of White Bear Lake: $92k → 14%Lions Club Intl Foundation: $15k → 7%Sleep in Heavenly Peace Inc: $10k → 13%Hugo Yellow Ribbon Network: $6k → 6%City of White Bear Lake: $54k → 14%Lions Club Intl Foundation: $11k → 7%Hugo Yellow Ribbon Network: $6k → 6%City of White Bear Lake: $41k → 14%Lions Club International Foundation: $10k → 7%Hugo Yellow Ribbon Network: $6k → 6%WBL Area Food Shelf: $32k → 14%Lions Club International Foundation: $10k → 7%WBL Area Schools: $29k → 14%WBL Area Schools: $29k → 14%WBL Area Schools: $28k → 14%WBL Area Schools: $27k → 14%City of White Bear Lake: $27k → 14%White Bear Lake Area Historical Society: $27k → 14%WBL Area Schools: $26k → 14%WBL Area Schools: $26k → 14%WBL Area Schools: $25k → 14%WBL Area Schools: $24k → 14%WBL Area Food Shelf: $22k → 14%WBL Area Schools: $21k → 14%WBL Area Food Shelf: $18k → 14%City of White Bear Lake: $15k → 14%WBL Area Food Shelf: $13k → 14%WBL Area Food Shelf: $13k → 14%WBL Area Food Shelf: $12k → 14%WBL Area Food Shelf: $12k → 14%WBL Area Food Shelf: $11k → 14%WBL Area Food Shelf: $9k → 14%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.

97%of every dollar goes to organizations it has funded before.
$964k · 6 repeat orgs$33k to everyone else

Grantees it renews have grown median revenue +61% since the first grant, against -83% for those funded once.

6 repeat relationships: 5 still active in FY2025, 1 since wound down; 1 grantees were first funded in FY2025 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

6
1

Total granted

$964k
$6k

Median revenue growth · since first grant

+61%
-83%

Still filing today

67%
100%

New vs renewed · share of each year

In FY2025, 71% of grant dollars renewed an existing relationship; $27k 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
Food & NutritionHealthPhilanthropyHousing & ShelterPublic BenefitOther
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

  • WB
    WHITE BEAR AREA FOOD SHELF
    9× · 2017–2025 · $142k · revenue +298%
  • LC
    Lions Clubs International Foundation
    5× · 2020–2025 · $66k · revenue +32%
  • SI
    SLEEP IN HEAVENLY PEACE INC
    3× · 2023–2025 · $38k · revenue +43%

Funded once

  • AC
    AMERICAN CANCER SOCIETY INC
    one grant, 2017 · $6k · revenue -83%
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

6 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. 6 of the 8 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)
3
Early backer (in before they grew)
6/6
Grantees still filing
5/6
Grew since first funded

Where the money sits, by cause and then by grantee

CITY OF WHITE BEAR LAKE: $454,524 · OtherCITY OF WHITE BEAR LAKEISD 624: $234,187 · OtherISD 624WHITE BEAR LAKE AREA HISTORICAL SOCIETY: $26,500 · OtherWHITE BEAR AREA FOOD SHELF: $141,550 · Food & NutritionWHITE BEAR AREA …Lions Clubs International Foundation: $66,000 · PhilanthropySLEEP IN HEAVENLY PEACE INC: $37,500 · Housing & ShelterHUGO YELLOW RIBBON NETWORK: $30,000 · Public BenefitAMERICAN CANCER SOCIETY INC: $6,000 · Health
Other$715,211Food & Nutrition$141,550Philanthropy$66,000Housing & Shelter$37,500Public Benefit$30,000Health$6,000

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 budgetWHITE BEAR AREA FOOD SHELF: $141,550 over 9y, 1.6% of budgetLions Clubs International Foundation: $66,000 over 5y, 0.0% of budgetSLEEP IN HEAVENLY PEACE INC: $37,500 over 3y, 0.1% of budgetHUGO YELLOW RIBBON NETWORK: $30,000 over 5y, 4.7% of budgetAMERICAN CANCER SOCIETY INC: $6,000 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 WHITE BEAR AREA FOOD SHELF ↗
  • Who funds Lions Clubs International Foundation ↗
  • Who funds SLEEP IN HEAVENLY PEACE INC ↗
  • Who funds HUGO YELLOW RIBBON NETWORK ↗
  • Who funds WHITE BEAR LAKE AREA HISTORICAL SOCIETY ↗
  • Who funds AMERICAN CANCER SOCIETY 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.

Greater White Bear Lake Community FoundationMN13.6× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Greater White Bear Lake Community 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 White Bear Lake Lions Club funds: left to right is the share of its income from government, bottom to top the share from White Bear Lake Lions Club. 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 →
    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 8 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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