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· Public charity

Shikar-Safari Club International

The organizations mission is to teach and promote the conservation of wildlife and protection of the environment, including an annual convention to promote conservation.

$1.3M
Granted FY2025still arriving
19
Grants FY2025still arriving
11
States reached
$130k
Largest
01What it funds
01FY2025 · 19 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 19 grants below total $1,212,538, the rows itemized in this filing. The $1,307,538 headline is the total grant expense on the return; the other $95,000 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 · FY2025

  • $10k–50k6 grants · $137k
  • $50k–250k13 grants · $1.1M
$50,000
Median grant
11
States reached
$3.0M
Total assets
Largest grants
RecipientAmount
Ivan Carter Wildlife Conser$130,000
LA Dept of Wildlife & Fisher$125,000
Chem Chem Association$100,938
South Carolina Waterfowl Asso$100,000
The Forever Wild Foundation$100,000
Water for Wildlife Foundation$100,000
Zambeze Delta Safaris Conserv$85,000
Individual grant recipient$75,000
Rowland Ward Foundation$59,600
EBN Hunting Safaris LTD$50,000
Individual grant recipient$50,000
TX Wildlife Assoc Foundation$50,000
Alaska Prof Hunters Assoc$50,000
Americans for Oxford$45,000
Blood Origins Inc$25,000
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.

US giving: 88% of grant dollars ($1.1M). The need read here covers only this US portion; the 12% that went abroad ($151k) is mapped below.

show:

Dollar for dollar, its grants (FY25–25) land where the poverty rate runs at 14%, against an area that typically sits at 12%. 77% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 12%The Forever Wild Foundation: $100k → 11%Cornell University: $20k → 14%Americans for Oxford: $45k → 17%TX Wildlife Assoc Foundation: $50k → 7%Ivan Carter Wildlife Conser: $130k → 14%Zambeze Delta Safaris Conserv: $85k → 15%Trinity Oaks Outdoors: $50k → 16%Congressional Sportsmens Fo: $75k → 14%Blood Origins Inc: $25k → 17%Chem Chem Association: $101k → 15%Rowland Ward Foundation: $60k → 9%Kelly Conservation Fund: $12k → 7%Water for Wildlife Foundation: $100k → 17%LA Dept of Wildlife & Fisher: $125k → 19%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.

Which US states its grants reach

AK
NY
WY
CO
VA
KS
TN
SC
DC
LA
TX

Beyond the US: 12% of all-years giving ($151k)

1 country, by the recipient’s country on the filing.

grant dollars sentlessmore
Tanzania$151k · 2 grants
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. International giving is mapped by the recipient’s country from the same 990 filings; comparable need data isn’t available at that grain.
03Its field
03the grantee network

6 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. 6 of the 19 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.

1
Load-bearing (≥25% of a budget)
2
Early backer (in before they grew)
6/6
Grantees still filing
3/6
Grew since first funded

Where the money sits, by cause and then by grantee

Ivan Carter Wildlife Conser: $130,000 · OtherIvan Carter Wildlife ConserLA Dept of Wildlife & Fisher: $125,000 · OtherLA Dept of Wildlife & FisherChem Chem Association: $100,938 · OtherChem Chem AssociationFOREVER WILD FOUNDATION LTD: $100,000 · OtherFOREVER WILD FOUNDATION LTDSouth Carolina Waterfowl Asso: $100,000 · OtherSouth Carolina Waterfowl AssoZambeze Delta Safaris Conserv: $85,000 · OtherZambeze Delta Safaris ConservIndividual grant recipient: $75,000 · OtherIndividual grant recipientRowland Ward Foundation: $59,600 · OtherRowland Ward FoundationAlaska Prof Hunters Assoc: $50,000 · OtherTX Wildlife Assoc Foundation: $50,000 · OtherEBN Hunting Safaris LTD: $50,000 · OtherIndividual grant recipient: $50,000 · Other+2 more: $22,000 · OtherWATER FOR WILDLIFE FOUNDATION: $100,000 · Membership BenefitWATER FOR…AMERICANS FOR OXFORD INC: $45,000 · EducationCornell University: $20,000 · EducationTHE ORIGINS FOUNDATION INC: $25,000 · AnimalsPASS IT ON - OUTDOOR MENTORS INC: $25,000 · Youth Development
Other$997,538Membership Benefit$100,000Education$65,000Animals$25,000Youth Development$25,000

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 budgetWATER FOR WILDLIFE FOUNDATION: $100,000 over 1y, 23% of budgetRowland Ward Foundation: $59,600 over 1y, 26% of budgetCornell University: $20,000 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.

  • Who funds WATER FOR WILDLIFE FOUNDATION ↗
  • Who funds Rowland Ward Foundation ↗
  • Who funds AMERICANS FOR OXFORD INC ↗
  • Who funds THE ORIGINS FOUNDATION INC ↗
  • Who funds PASS IT ON - OUTDOOR MENTORS INC ↗
  • Who funds Cornell University ↗

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 set of overlaps that mostly run through this funder rather than between each other.

Weatherby Foundation International IncAZ13.6× affinity4 shared granteesties to 0 of 0Hover any node to trace its alignments.Compare side by side →

Open a dossier: Weatherby Foundation International Inc

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 Shikar-Safari Club International funds: left to right is the share of its income from government, bottom to top the share from Shikar-Safari Club International. Bigger dots raise more.

2024
’20’21’22’23’24
no gov · 00%0%1%3%5%funder's share of their income ↑0%3%5%8%10%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    1report 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, FY20–24
    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.

    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 19 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 2025, released 2025. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

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