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· Private foundation

Venezuelan Association of Massachusetts Inc

Its FY2026 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$25k
Granted FY2026still arriving
17
Grants FY2026still arriving
5
States reached
$3k
Largest
01What it funds
0197% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2026.

International$71kHuman Services$47kHousing & Shelter$15kCivil Rights$11kPublic Safety & Disaster$8kHealth$7kFood & Nutrition$3kArts & Culture$2kOther$0
02FY2026 · 17 grants

Where the money goes

Grants by size, and the largest recipients.

$1,100
Median grant
5
States reached
$4k
Total assets
Largest grants
RecipientAmount
Individual grant recipient$3,400
Individual grant recipient$2,800
Individual grant recipient$2,500
Individual grant recipient$2,300
Individual grant recipient$1,900
Individual grant recipient$1,800
Individual grant recipient$1,750
IRIS DE LA VICTORIA$1,550
Individual grant recipient$1,100
Individual grant recipient$900
Individual grant recipient$850
Individual grant recipient$750
Individual grant recipient$750
Individual grant recipient$750
Individual grant recipient$550
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.

US giving: 50% of grant dollars ($85k). The need read here covers only this US portion; the 50% that went abroad ($85k) is mapped below.

show:

Dollar for dollar, its grants (FY20–26) land where the poverty rate runs at 10%, against an area that typically sits at 6%. 100% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 6%ANDREA BARRERA: $3k → 7%ROLAND CARRERO: $750 → 8%IRIS DE LA VICTORIA: $2k → 11%Fundacion El Buen Samaritano: $130 → 12%Marco Rene Torress: $3k → 16%berbesi Fenandez yeiny: $900 → 10%United4Change Center: $500 → 16%Hope For Venezuelan Refugees: $521 → 9%Corazon x Venezuela: $3k → 11%suarez Rafael Ramon: $550 → 14%Fundacion Cidene: $1k → 11%Hospital IAHULA: $1k → 11%Medicos Unidos Venezuela - Zulia: $900 → 9%ANDREA BARRERA: $1k → 7%ROLAND CARRERO: $269 → 8%IRIS DE LA VICTORIA: $2k → 11%Marco Rene Torress: $3k → 16%Corazon x Venezuela: $2k → 11%Fundacion Cidene: $719 → 11%Fundacion Angeles Chiquinquirenos: $738 → 9%Casa de Venezuela New England: $2k → 7%Francisco Sanchez: $750 → 8%JACKSON GONZALEZ: $4k → 11%FRANKLIN MARVAL: $750 → 16%Corazon por Venezuela: $1k → 11%Fundacion Angeles Chiquinquirenos: $636 → 9%VENEZUELAN COMMUNITY IN MA: $2k → 7%Asociasion vzlana Virgen Coromoto: $621 → 8%Karen Charris: $1k → 16%Fundacion Angeles Chiquinquirenos: $575 → 9%JUAN LARES: $3k → 7%Juan Rangel: $2k → 8%Eli Ventura: $550 → 16%Iglesia Misionera de la Esperanza: $429 → 9%JUAN LARES: $850 → 7%Carlos Mendez: $2k → 8%Angely Carrero: $550 → 7%FELIX VAQUEZ: $970 → 8%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.

Which US states its grants reach

IL
NY
MA
PA
CA
CO
AL
TX

Beyond the US: 50% of all-years giving ($85k)

3 countries, by the recipient’s country on the filing.

grant dollars sentlessmore
Venezuela$57k · 79 grants
Afghanistan$28k · 33 grants
Colombia$521 · 1 grant
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. International giving is mapped by the recipient’s country from the same 990 filings; comparable need data isn’t available at that grain.
03Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

45%of every dollar goes to organizations it has funded before.
$77k · 34 repeat orgs$93k to everyone else

34 repeat relationships: 5 still active in FY2026, 29 since wound down; 12 grantees were first funded in FY2026 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

34
102

Total granted

$77k
$78k

Still filing today

0%
0%

New vs renewed · share of each year

In FY2026, 38% of grant dollars renewed an existing relationship; $15k went to new ones.

50%100%’20’22’23’24’25’26
RenewedFirst-time
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

  • HS
    Hospital Sor Juana Ines de La Cruz
    2× · 2022–2023 · $6k
  • IG
    Individual grant recipient
    2× · 2025–2026 · $5k
  • IG
    Individual grant recipient
    2× · 2022–2023 · $5k

Funded once

  • IG
    Individual grant recipient
    one grant, 2024 · $8k
  • VC
    various Churches hospitals schools
    one grant, 2020 · $7k
  • IG
    Individual grant recipient
    one grant, 2022 · $6k
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

0 grantees tracked through their own filings, 2020–2026.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2020 to 2026, not grant rows in a single year, so this will not match the grant count on the cover. 0 of the 148 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)
0
Early backer (in before they grew)
0/0
Grantees still filing
0/0
Grew since first funded

Where the money sits, by cause and then by grantee

Individual grant recipient: $7,500 · Othervarious Churches hospitals schools: $6,965 · OtherHospital Sor Juana Ines de La Cruz: $6,213 · OtherIndividual grant recipient: $5,706 · Other+144 more: $143,543 · Other+144 more
Other$169,927

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

25%50%75%100%grantee revenue →↑ funder's share of their 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.

05Through Plinth

Warm introductions · Powered by PlinthPlus

How do I get to Venezuelan Association of Massachusetts Inc?

Find your warmest path to Venezuelan Association of Massachusetts 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 148 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 2026, released 2026. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Source object · view filing

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