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· Private foundation

Azelora Foundation

Its FY2024 filing reports that it funds preselected organizations and did not take unsolicited requests; check the foundation's own site before ruling it out.

$35k
Granted FY2024still arriving
3
Grants FY2024still arriving
2
States reached
$25k
Largest
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2020 to 2024.

Health$309kEducation$27kHuman Services$3k
02FY2024 · 3 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2024

  • Under $10k1 grant · $387
  • $10k–50k2 grants · $35k
$10,000
Median grant
2
States reached
$0
Total assets
Largest grants
RecipientAmount
University of Minnesota Foundation$25,000
Roots Community Health$10,000
Pacific Vision Foundation$387
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.

show:

Dollar for dollar, its grants (FY20–24) land where the poverty rate runs at 8%, against an area that typically sits at 7%. 99% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 7%University of Minnesota Foundation: $25k → 11%San Carlos Charter Learning Center: $2k → 7%Buck Institute for Research on Aging: $213k → 8%Roots Community Health: $10k → 10%Pacific Vision Foundation: $387 → 10%Arthritis Foundation: $1k → 13%Samaritan House: $2k → 7%Buck Institute Research on Aging: $40k → 8%North East Medical Services Fnd: $2k → 10%Arthritis Foundation: $1k → 13%Samaritan House: $2k → 7%Buck Institute Research on Aging: $27k → 8%St Francis Foundation: $5k → 10%Buck Institute Research on Aging: $10k → 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.
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 grantees
repeat funding

Who it funds again

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

24%of every dollar goes to organizations it has funded before.
$82k · 3 repeat orgs$257k to everyone else

Grantees it renews have grown median revenue +50% since the first grant, against +14% for those funded once.

3 repeat relationships: 0 still active in FY2024, 3 since wound down; 3 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

3
4

Total granted

$82k
$222k

Median revenue growth · since first grant

+50%
+14%

Still filing today

67%
50%

New vs renewed · share of each year

In FY2024, 0% of grant dollars renewed an existing relationship; $35k went to new ones.

50%100%’20’21’22’23’24
RenewedFirst-time

Where new relationships form · theme of each grantee’s first grant

’20’21’22’23’24
HealthEducationSocial ScienceOther
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

  • BI
    Buck Institute Research on Aging
    3× · 2020–2022 · $77k
  • SAMARITAN HOUSE
    2× · 2020–2022 · $3k · revenue +50%
  • AF
    ARTHRITIS FOUNDATION INC
    2× · 2020–2021 · $2k · revenue +7%

Funded once

  • BI
    BUCK INSTITUTE FOR RESEARCH ON AGING
    one grant, 2023 · $213k · revenue +14%
  • SF
    St Francis Foundation
    one grant, 2020 · $5k
  • SC
    SAN CARLOS CHARTER LEARNING CENTER
    one grant, 2023 · $2k · revenue +12%
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

7 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. 7 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.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
7/7
Grantees still filing
6/7
Grew since first funded

Where the money sits, by cause and then by grantee

BUCK INSTITUTE FOR RESEARCH ON AGING: $213,000 · Social ScienceBUCK INSTITUTE FOR RESEARCH ON AGINGBuck Institute Research on Aging: $77,000 · OtherBuck Institute Research on A…St Francis Foundation: $5,100 · OtherSt Francis FoundationSAMARITAN HOUSE: $3,000 · Other+1 more: $1,500 · OtherUNIVERSITY OF MINNESOTA FOUNDATION: $25,000 · EducationUNIVERSIT…SAN CARLOS CHARTER LEARNING CENTER: $2,000 · EducationSAN CARLO…ROOTS COMMUNITY HEALTH CENTER: $10,000 · HealthARTHRITIS FOUNDATION INC: $2,000 · Health+1 more: $387 · Health
Social Science$213,000Other$86,600Education$27,000Health$12,387

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

25%50%75%100%$10M$100Mgrantee revenue →↑ funder's share of their budgetBUCK INSTITUTE FOR RESEARCH ON AGING: $213,000 over 1y, 0.4% of budgetUNIVERSITY OF MINNESOTA FOUNDATION: $25,000 over 1y, 0.0% of budgetROOTS COMMUNITY HEALTH CENTER: $10,000 over 1y, 0.0% of budgetSAMARITAN HOUSE: $3,000 over 2y, 0.0% of budgetARTHRITIS FOUNDATION INC: $2,000 over 2y, 0.0% of budgetSAN CARLOS CHARTER LEARNING CENTER: $2,000 over 1y, 0.0% of budgetPACIFIC VISION FOUNDATION: $387 over 1y, 0.0% 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.

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.

Silicon Valley Community FoundationCA12.7× affinity4 shared granteesties to 2 of 2Hover any node to trace its alignments.Compare side by side →

Open a dossier: Silicon Valley Community Foundation · Fidelity Investments Charitable Gift Fund · Amazonsmile Foundation

How this is measured
Affinity is a Gamma-Poisson posterior co-funding rate, re-centered on the typical rate, so thin evidence shrinks toward no signal. Overlap is association, not proof of shared intent.

How much its grantees rely on government

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

2024
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%15%30%45%60%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    3report government grants on their 990 we could not trace to a source (not plotted)
    0rely on government for over half their income
    ⤢ axis zoomed · 0–60%
    typical government reliance, FY20–25
    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 10 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.

    Source object · view filing

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