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Operation Walk- Women Orthopaedist Global Outreach at a glanceMostly funded, not a grantmaker: see who funds it →

· Public charity

Operation Walk- Women Orthopaedist Global Outreach

To empower, educate and engage women and their larger community in developing countries around the world: empower - provide free life-altering orthopaedic surgery that eliminates debilitating arthritis and restores disabled joints so that women can reclaim their ability to care for themselves, their families and communities.

$5k
Granted FY2017
1
Grants FY2017
1
States reached
$5k
Largest
01What it fundsRead
02Its fieldRead
01What it funds
01FY2017 · 1 grant

Where the money goes

Grants by size, and the largest recipients.

$5,000
Median grant
1
States reached
$909k
Total assets
Largest grants
RecipientAmount
DIKEMBE MUTOMBO FOUNDATION$5,000
02Its field
02the grantee network

1 grantees tracked through their own filings, 2017–2023.

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 2023, 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)
0
Early backer (in before they grew)
1/1
Grantees still filing
0/1
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 budgetDMF Internationl Inc: $5,000 over 1y, 0.3% 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 Operation Walk- Women Orthopaedist Global Outreach funds: left to right is the share of its income from government, bottom to top the share from Operation Walk- Women Orthopaedist Global Outreach. Bigger dots raise more.

2023
’20’21’22’23
no gov · 00%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
    0get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–5%
    typical government reliance, FY20–23
    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 1 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 2017, released 2017. 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 FY2017, the most recent year this funder made grants.

    Source object · view filing

    Play a game based on Operation Walk- Women Orthopaedist Global Outreach’s filings →

    More from the funding graph

    The unnamed billions
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    The regranting layer
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    The endowment market
    who holds foundation money, and what just moved
    The camps
    funders cluster by geography, not ideology
    By state
    where grant money is based, and what stays home