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· Public charity

Senior Assist Network

To assist, on a charitable basis, low-income elderly persons to live with dignity, independence, and security by providing services and support and to sponsor and encourage programs and activities for the advancement of their health and general welfare.

$328k
Granted FY2025still arriving
6
Grants FY2025still arriving
1
States reached
$100k
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, FY2024 to 2025.

Food & Nutrition$175kHuman Services$103kPhilanthropy$75k
02FY2025 · 6 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2025

  • $10k–50k2 grants · $53k
  • $50k–250k4 grants · $275k
$50,000
Median grant
1
States reached
$2.4M
Total assets
Largest grants
RecipientAmount
ALLENTOWN AREA ECUMENICAL FOOD BANK$100,000
UNITED WAY OF THE GREATER LEHIGH VALLEY$74,800
SIGHTS FOR HOPE$50,000
MEALS ON WHEELS OF THE GREATER LEHIGH VALLEY INC$50,000
SHARE CARE FAITH IN ACTION$28,000
CATHOLIC CHARITIES OF THE DIOCESE OF ALLENTOWN INC$25,000
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 (FY25–25, $50k) land where the poverty rate runs at 11%, against an area that typically sits at 8%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%SIGHTS FOR HOPE: $50k → 11%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 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.

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)
6/6
Grantees still filing
0/6
Grew since first funded

Where the money sits, by cause and then by grantee

ALLENTOWN AREA ECUMENICAL FOOD BANK: $100,000 · Food & NutritionALLENTOWN AREA ECUMENICAL FOOD BANKMEALS ON WHEELS OF THE GREATER LEHIGH VALLEY INC: $75,000 · Food & NutritionMEALS ON WHEELS OF THE GREATER LEHIGH VALLEY INCUNITED WAY OF THE GREATER LEHIGH VALLEY: $74,800 · PhilanthropyUNITED WAY OF THE GREATE…ShareCare Faith in Action: $28,000 · OtherShareCare Faith i…CATHOLIC CHARITIES OF THE DIOCESE OF ALLENTOWN INC: $25,000 · OtherCATHOLIC CHARITIE…SIGHTS FOR HOPE: $50,000 · Human ServicesSIGHTS FOR HOPE
Food & Nutrition$175,000Philanthropy$74,800Other$53,000Human Services$50,000

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

25%50%75%100%$1.0M$10Mgrantee revenue →↑ funder's share of their budgetALLENTOWN AREA ECUMENICAL FOOD BANK: $100,000 over 1y, 8.2% of budgetMEALS ON WHEELS OF THE GREATER LEHIGH VALLEY INC: $75,000 over 2y, 1.2% of budgetUNITED WAY OF THE GREATER LEHIGH VALLEY: $74,800 over 1y, 0.2% of budgetSIGHTS FOR HOPE: $50,000 over 1y, 3.4% of budgetShareCare Faith in Action: $28,000 over 1y, 10% of budgetCATHOLIC CHARITIES OF THE DIOCESE OF ALLENTOWN INC: $25,000 over 1y, 0.7% 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.

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 tightly interlocked group: most of these funders back each other's grantees too.

United Way of the Greater Lehigh ValleyPA15.7× affinity5 shared granteesties to 8 of 8Hover any node to trace its alignments.Compare side by side →

Open a dossier: United Way of the Greater Lehigh Valley · Air Products Foundation · Harry C Trexler Estate · Lehigh Valley Community Foundation · Ppl Foundation · Vanguard Charitable Endowment Program · American Online Giving Foundation Inc · Fidelity Investments Charitable Gift Fund · 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 Senior Assist Network funds: left to right is the share of its income from government, bottom to top the share from Senior Assist Network. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%1%4%8%15%funder's share of their income ↑0%25%50%75%100%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
    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.
    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Senior Assist Network?

    Find your warmest path to Senior Assist Network through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

    Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

    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 6 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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