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· Public charity

Bridge Ministries

To provide services to those who are physically and/or developmentally disabled and their families, including guardianships, assessments, referrals, education, and provision of medical equipment

$4.5M
Granted FY2022
2
Grants FY2022
1
States reached
$521k
Largest
01What it funds
01FY2022 · 2 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 2 grants below total $595,500, the rows itemized in this filing. The $4,507,781 headline is the total grant expense on the return; the other $3,912,281 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

  • $50k–250k1 grant · $75k
  • $250k+1 grant · $521k
$520,500
Median grant
1
States reached
$2.3M
Total assets
Largest grants
RecipientAmount
GATEWAY MEDICAL ALLIANCE$520,500
PUSH INTERNATIONAL$75,000
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 9%, against an area that typically sits at 11%. 0% of its dollars go to grantees based in above-average-need neighborhoods. Its grants skew toward lower-need ZIPs.

area typical 11%PUSH INTERNATIONAL: $75k → 9%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

Closest unfunded matches

The nonprofits that most resemble its grantees but are not funded by it, scored along the direction from the rest of the field toward the portfolio. A resemblance in what they say they do, not a recommendation.

1
Hope International

Provide free medical assistance to poor people in 3rd world countries

International
2
Global Mobility

The organization was instrumental in providing mobility, education, and advocacy for children and adults in need in the following georgraphic areas of israel north america, and indonesia. global mobility has the freedom and flexibility to…

Health
3
Christian Ministries International
—
4
World Aid Runners
Health
5
Message to All Nations Man

To reach out with the message of the gospel of jesus to the last, least, and the lost

Human Services
6
Health Missions International Inc

To provide free healthcare services

International
7
Helping Hands International
—
8
Sacred Link Global Humanitarian Project
—
9
Kim International Medical Volunteer Foundation Inc

To provide medical vouunteers where needed

Public Safety & Disaster
10
Doctors to the World

Medical care and education to under-served communities around the world.

—
11
Twin Missions International

Mission work

Health
12
Alliance for International Medicine

Provided medical training to healthcare provides in selected markets throughout the world.

Health
How this is measured
The grantee most central to the portfolio’s shape is Gateway Medical Alliance; the most unlike its peers is Housing Development Consortium of Seattle - King County. Resemblance is measured on each organization’s own IRS 990 mission text; it reflects how work is described, not its quality or impact.
03the grantee network

9 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.

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)
8/9
Grantees still filing
8/9
Grew since first funded

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 budgetGateway Medical Alliance: $520,500 over 4y, 11% 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.

American Online Giving Foundation IncDE6.7× affinity4 shared granteesties to 1 of 1Hover any node to trace its alignments.Compare side by side →

Open a dossier: American Online Giving Foundation 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 Bridge Ministries funds: left to right is the share of its income from government, bottom to top the share from Bridge Ministries. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 00%1%4%8%15%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
    0get 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.
    04Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Bridge Ministries?

    Find your warmest path to Bridge Ministries through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

    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.

    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 2 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 (FY2024) is on record and reports $1.3M of grant expense, but none of it to a named recipient. On a Form 990 that can mean grants abroad, filed by region only (Schedule F), grants under $5,000, which are not itemized, or a schedule referenced as an attachment the e-file does not carry. The figures above are therefore from FY2022, the most recent year this funder named its grantees.

    Source object · view filing

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