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· Public charity

Uplift

The organization's main mission is to accelerate community involvement and transformation by providing needed services to san diego's most vulnerable population.

$99k
Granted FY2022
10
Grants FY2022
2
States reached
$11k
Largest
01What it funds
01FY2022 · 10 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 10 grants below total $91,371, the rows itemized in this filing. The $98,521 headline is the total grant expense on the return; the other $7,150 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.

By grant size · FY2022

  • Under $10k6 grants · $48k
  • $10k–50k4 grants · $43k
$9,503
Median grant
2
States reached
$196k
Total assets
Largest grants
RecipientAmount
THE PRINCESS PROJ SAN DIEGO$10,915
COMMUNITY HOME FOR CK CONN$10,902
FEEDING SAN DIEGO$10,855
CHURCH ON THE MOVE$10,784
SAN DIEGO SOCIAL LEAGUE$9,503
STARPAL$9,103
HOME START INC$8,933
BROADVIEW HEIGHTS COMM CNCL$7,040
SALVATION ARMY SAN DIEGO$6,953
EMILIO NARES FOUNDATION$6,383
02The need
02

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 (FY22–22) land where the poverty rate runs at 10%, against an area that typically sits at 8%. 84% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 8%HOME START INC: $9k → 11%CHURCH ON THE MOVE: $11k → 7%BROADVIEW HEIGHTS COMM CNCL: $7k → 11%FEEDING SAN DIEGO: $11k → 11%SALVATION ARMY SAN DIEGO: $7k → 11%SAN DIEGO SOCIAL LEAGUE: $10k → 11%STARPAL: $9k → 11%EMILIO NARES FOUNDATION: $6k → 11%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
03the 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)
1
Early backer (in before they grew)
5/7
Grantees still filing
4/7
Grew since first funded

Where the money sits, by cause and then by grantee

COMMUNITY HOME NEIGHBORHOOD MAINTENANCE & DEVELOPMENT: $10,902 · OtherCOMMUNITY HOME NEIGHBORHOOD MAINT…SAN DIEGO SOCIAL LEAGUES: $9,503 · OtherSAN DIEGO SOCIAL LEAGUESTHE SALVATION ARMY: $6,953 · OtherTHE SALVATION ARMYThe Princess Project: $10,915 · Human ServicesThe Princess …FEEDING SAN DIEGO: $10,855 · Food & NutritionFEEDING SAN D…CHURCH ON THE MOVE: $10,784 · ReligionCHURCH ON THE…STARPAL: $9,103 · Youth DevelopmentSTARPALHOME START INC: $8,933 · Crime & LegalHOME START …BROADWAY HEIGHTS COMMUNITY COUNCIL: $7,040 · Community ImprovementEmilio Nares Foundation: $6,383 · Health
Other$27,358Human Services$10,915Food & Nutrition$10,855Religion$10,784Youth Development$9,103Crime & Legal$8,933Community Improvement$7,040Health$6,383

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

25%50%75%100%$1.0M$10Mgrantee revenue →↑ funder's share of their budgetThe Princess Project: $10,915 over 1y, 22% of budgetFEEDING SAN DIEGO: $10,855 over 1y, 0.0% of budgetSTARPAL: $9,103 over 1y, 0.7% of budgetHOME START INC: $8,933 over 1y, 0.1% of budgetEmilio Nares Foundation: $6,383 over 1y, 0.5% 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.

Donor Advised Charitable Giving IncCO5× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: Donor Advised Charitable Giving Inc · 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 Uplift funds: left to right is the share of its income from government, bottom to top the share from Uplift. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%2%6%14%25%funder's share of their income ↑0%5%10%15%20%share of the org’s 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 · 0–20%
    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 e-file return for fiscal year 2022, released 2022. 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 FY2022, the most recent year this funder made grants.

    Source object · view filing

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