· Public charity
Maharashtra Foundation Inc
Funding charitable projects in india and the usa.
What it funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2024.
Where the money goes
Grants by size, and the largest recipients.
How this is measured
| Recipient | Amount |
|---|---|
| MAHARASHTRA MANDAL BAY AREA | $7,500 |
Does the money reach high-need areas?
Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.
Dollar for dollar, its grants (FY17–23) land where the poverty rate runs at 8%, against an area that typically sits at 8%. 70% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.
How this is measured
Grants abroad, by region: $815k on the FY2024 return
Schedule F, as filed: 1 region. The IRS asks for region and purpose, not the recipient, so no country or grantee can be named here.
Stated purpose: SOCIAL REF · EDUCATIONAL · HEALTHCARE
How this is measured
Closest unfunded matches
The nonprofits that most resemble its grantees but are not funded by it, scored along the direction from the rest of the field toward the portfolio. A resemblance in what they say they do, not a recommendation.
Maharishi vedic science and technology foundation (mvstf) is organized to provide programs that promote individual and societal peace, happiness, prosperity, and perfect health, by engaging in activities that increase and promote the…
Funding charitable projects in india and the usa.
Provide the cultural support to all maharashtrian people now in usa, with roots in maharashtra
To preserve our indian heritage through various cultural events while also giving back to the local san francisco bay area community.
Sister India provides a holistic program, protecting and uplifting women and girls, ending trafficking, child marriages and child labor, lifting families from poverty, and ensuring girls can go to school instead. We research effective…
How this is measured
8 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. 8 of the 10 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.
Where the money sits, by cause and then by grantee
Each grantee by its size and the funder’s share of it; top left is load-bearing
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.
Open a dossier: Jpmorgan Chase Foundation · American Online Giving Foundation Inc · The Bank of America Charitable Foundation Inc · Fidelity Investments Charitable Gift Fund · Amazonsmile Foundation
How this is measured
How much its grantees rely on government
Each dot is one organization Maharashtra Foundation Inc funds: left to right is the share of its income from government, bottom to top the share from Maharashtra Foundation Inc. Bigger dots raise more.
- Manavi Inc: 60% of income from government
How this is measured
Warm introductions · Powered by PlinthPlus
How do I get to Maharashtra Foundation Inc?
Find your warmest path to Maharashtra Foundation 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.
Play a game based on Maharashtra’s filings →