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Vermont Association of Area Agencies on Aging Inc

The vermont association of area agencies on aging (v4a) supports and strengthens vermont's five area agencies on aging (aaa's) to ensure that all vermonters are able to age with health, independence, and dignity.

$652k
Granted FY2025still arriving
5
Grants FY2025still arriving
1
States reached
$195k
Largest
01What it funds
01FY2025 · 5 grants

Where the money goes

Grants by size, and the largest recipients.

$117,209
Median grant
1
States reached
$403k
Total assets
Largest grants
RecipientAmount
AGE WELL INC$194,864
COUNCIL ON AGING SOUTHEASTERN$120,912
CENTRAL VT COUNCIL ON AGING$117,209
SOUTHWESTERN VT COUNCIL ON AG$113,987
NE KINGDOM COUNCIL ON AGING$105,259
02The need
02

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, $531k) land where the poverty rate runs at 11%, against an area that typically sits at 9%. 100% of those dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 9%CENTRAL VT COUNCIL ON AGING: $117k → 9%AGE WELL INC: $195k → 10%NE KINGDOM COUNCIL ON AGING: $105k → 12%SOUTHWESTERN VT COUNCIL ON AG: $114k → 12%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
03the 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.

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)
5/5
Grantees still filing
0/5
Grew since first funded

Where the money sits, by cause and then by grantee

AGE WELL INC: $194,864 · Human ServicesAGE WELL INCCENTRAL VERMONT COUNCIL ON AGING INC: $117,209 · Human ServicesCENTRAL VERMONT COUNCIL ON AGING INCSouthwestern Vermont Council on Aging Inc: $113,987 · Human ServicesSouthwestern Vermont Council on Aging IncNortheast Kingdom Council on Aging Inc: $105,259 · Human ServicesNortheast Kingdom Council on Aging IncCOUNCIL ON AGING FOR SOUTHEASTERN VERMONT INC: $120,912 · OtherCOUNCIL ON AGING FOR …
Human Services$531,319Other$120,912

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

25%50%75%100%$10Mgrantee revenue →↑ funder's share of their budgetAGE WELL INC: $194,864 over 1y, 1.5% of budgetCOUNCIL ON AGING FOR SOUTHEASTERN VERMONT INC: $120,912 over 1y, 2.4% of budgetCENTRAL VERMONT COUNCIL ON AGING INC: $117,209 over 1y, 2.3% of budgetSouthwestern Vermont Council on Aging Inc: $113,987 over 1y, 1.8% of budgetNortheast Kingdom Council on Aging Inc: $105,259 over 1y, 2.7% 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.

04Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Vermont Association of Area Agencies on Aging Inc?

Find your warmest path to Vermont Association of Area Agencies on Aging Inc 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 5 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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