· Private foundation
Mathews Family Foundation Inc
To provide financial assistance to the community at large, including infrastructure assistance, building schools, provide research grants, support educational activities, give scholarships and prizes to students, support church charities, and provide disaster relief, for the underserved people all over the world Its FY2025 filing reports…
What it funded, over time
Every grant placed by its stated purpose and the recipient’s mission, by year, FY2021 to 2025.
Where the money goes
Grants by size, and the largest recipients.
By grant size · FY2025
- Under $10k1 grant · $3k
- $10k–50k2 grants · $70k
| Recipient | Amount |
|---|---|
| Christian Medical College LUDHIANA | $35,000 |
| Christian Medical College Ludhiana | $35,000 |
| Individual grant recipient | $3,432 |
Where the grant dollars land
Across the US and around the world.
US giving: 20% of grant dollars ($62k). The 80% that went abroad ($245k) is mapped below.
Beyond the US: 80% of all-years giving ($245k)
1 country, by the recipient’s country on the filing.
How this is measured
0 grantees tracked through their own filings, 2021–2025.
Each grant beside the grantee’s revenue from every source, year by year.
How this is measured
Counted here: distinct organizations funded across 2021 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 0 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.
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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.
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