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· Public charity

The Albert Schweitzer Fellowship

THE ALBERT SCHWEITZER FELLOWSHIP (asf) is preparing the next generation of professionals to serve and empower vulnerable people to live healthier lives and create healthier communities, and to become, thereby, a global corps of change-agent leaders.

$54k
Granted FY2021
3
Grants FY2021
3
States reached
$31k
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, FY2018 to 2021.

Education$62kInternational$31kHealth$25kReligion$2k
02FY2021 · 3 grants

Where the money goes

Grants by size, and the largest recipients.

By grant size · FY2021

  • Under $10k1 grant · $606
  • $10k–50k2 grants · $53k
$22,000
Median grant
3
States reached
$1.5M
Total assets
Largest grants
RecipientAmount
PHYSICIANS FOR SOCIAL RESPONSIBILITY$31,192
NORTH CAROLINA ALBERT SCHWEITZER FELLOWSHIP INC$22,000
TULSA FELLOWS PROGRAM$606
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 (FY18–21) land where the poverty rate runs at 12%, against an area that typically sits at 11%. 46% of its dollars go to grantees based in above-average-need neighborhoods. Its grants spread fairly evenly across need levels.

area typical 11%PHYSICIANS FOR SOCIAL RESPONSIBILITY: $31k → 14%TULSA FELLOWS PROGRAM: $606 → 15%THE NORTH CAROLINA ALBERT SCHWEITZER FELLOWSHIP INC: $39k → 10%OHIO STATE UNIVERSTIY COLLGE OF MEDICINE: $21k → 15%NORTH CAROLINA ALBERT SCHWEITZER FELLOWSHIP INC: $22k → 10%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 field
04the grantee network

6 grantees tracked through their own filings, 2017–2026.

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 2026, not grant rows in a single year, so this will not match the grant count on the cover.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
2
Early backer (in before they grew)
6/6
Grantees still filing
4/6
Grew since first funded

Where the money sits, by cause and then by grantee

The North Carolina Albert Schweitzer Fellowship Inc: $61,335 · EducationThe North Carolina Albert Schweitzer Fellowship IncOhio State University Physicians Inc: $20,996 · EducationOhio State University Physicians Inc+1 more: $606 · EducationPHYSICIANS FOR SOCIAL RESPONSIBILITY: $31,192 · InternationalPHYSICIANS FOR SOCIAL RESPONS…Hitchcock Foundation: $4,425 · HealthALBERT SCHWEITZER FELLOWSHIP OF ALABAMA: $2,010 · Health
Education$82,937International$31,192Health$6,435

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

25%50%75%100%$1.0M$10M$100Mgrantee revenue →↑ funder's share of their budgetThe North Carolina Albert Schweitzer Fellowship Inc: $61,335 over 2y, 13% of budgetPHYSICIANS FOR SOCIAL RESPONSIBILITY: $31,192 over 1y, 1.0% of budgetOhio State University Physicians Inc: $20,996 over 1y, 0.0% of budgetHitchcock Foundation: $4,425 over 1y, 0.1% of budgetThe University of Tulsa: $606 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.

How much its grantees rely on government

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

2024
’20’21’22’23’24’25
no gov · 00%1%4%8%15%funder's share of their income ↑0%3%5%8%10%share of the org’s income from government →median 5%
  • The University of Tulsa: 5% of income from government
no gov moneyreceives it· size = income
0get no government money at all
2report government grants on their 990 we could not trace to a source (not plotted)
0rely on government for over half their income
⤢ axis zoomed · 0–10%
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 6 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 e-file return for fiscal year 2021, released 2021. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

Possibly out of date. A more recent filing (FY2024) is on record and reports no grant expense, so the figures above are from FY2021, the most recent year this funder made grants.

Source object · view filing

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