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Love for Life Foundation at a glanceAlso receives grants: funding profile →

· Private foundation

Love for Life Foundation

Its FY2025 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$5k
Granted FY2024still arriving
1
Grants FY2024still arriving
1
States reached
$5k
Largest
01What it fundsRead
02The needRead
03Its fieldRead
01What it funds
0190% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2017 to 2024.

Health$47kReligion$500Human Services$100Other$0
02FY2024 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

$5,000
Median grant
1
States reached
$280k
Total assets
Largest grants
RecipientAmount
KAPAMPANGAN DATU MEDICAL CENTER PHILLIPPINES$5,000
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.

US giving: 37% of grant dollars ($18k). The need read here covers only this US portion; the 63% that went abroad ($31k) is mapped below.

None of its grants could be placed against low income need for this view.

Beyond the US: 63% of all-years giving ($31k)

1 country, by the recipient’s country on the filing.

grant dollars sentlessmore
Philippines$31k · 4 grants
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 field
04the grantee network

1 grantees tracked through their own filings, 2017–2024.

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 2024, not grant rows in a single year, so this will not match the grant count on the cover. 1 of the 7 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)
1/1
Grantees still filing
0/1
Grew since first funded

Where the money sits, by cause and then by grantee

KAPAMPANGAN DEVELOPMENT FOUNDATION DE JESUS DATU MEDICAL CENTER: $25,000 · OtherKAPAMPANGAN DEVELOPMENT FOUNDATION DE JESUS DATU MEDICAL CENTERKAPAMPANGAN DATU MEDICAL CENTER PHILLIPPINES: $15,000 · OtherKAPAMPANGAN DATU MEDICAL CENTER PHILLIPPINESKAPAMPANGAN DEVELOPEMENT FOUNDATION DE JESUS DATU MEDICAL CENTER: $5,545 · OtherKAPAMPANGAN DEVELOPEMENT FOUNDATION DE JESUS DATU MEDICAL CENTER+3 more: $1,200 · OtherPHILIPPINE MEDICAL ASSOIATION OF NE: $1,650 · Human Services
Other$46,745Human Services$1,650

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 budgetPHILIPPINE MEDICAL ASSOIATION OF NE: $1,650 over 1y, 1.8% 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.

  • Who funds PHILIPPINE MEDICAL ASSOIATION OF NE ↗

How much its grantees rely on government

Each dot is one organization Love for Life Foundation funds: left to right is the share of its income from government, bottom to top the share from Love for Life Foundation. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 10%0%1%3%5%funder's share of their income ↑0%1%3%4%5%share of the org’s income from government →
    no gov moneyreceives it· size = income
    1get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    typical government reliance, FY20–24
    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.

    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 7 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 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Possibly out of date. A more recent filing (FY2025) is on record and reports no grant expense, so the figures above are from FY2024, the most recent year this funder made grants.

    Source object · view filing

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