CivicGraph — Accountability Brief

Royal United Services Institute for Defence and Security Studies NSW Incorporated

ABN 80724654162charity • Generated 2026-06-18
Executive Summary
  • Reported a $31K surplus in 2023 — financially healthy.
  • Clean political record — no political donations on file.
Entity Type
charity
State
NSW
SEIFA DecileSocio-Economic Indexes for Areas — decile 1 is most disadvantaged, 10 is least
4
Community Ctrl
No
Remoteness
Major Cities of Australia
LGA
Sydney
Size: Small • Purposes: Security
Financial Summary
Latest Revenue
$85K
Latest Expenses
$54K
Total Assets
$587K
YearRevenueExpensesAssetsSurplusGov RevFTE
2023$85K$54K$587K$31K$18K0
2022$64K$24K$542K$40K$00
2021$42K$27K$530K$15K$00
2020$51K$39K$467K$11K$00
2019$68K$59K$496K$8K$00
Government Funding

No government funding records found — clean record in tracked datasets.

Government Contracts

No AusTender contracts on record — clean procurement record.

Political Connections

No political donation records — clean political record.

Evidence Alignment (ALMAAustralian Living Map of Alternatives — JusticeHub's evidence database of what works)

No evidence-backed programs (ALMA) linked yet — this entity may operate programs not yet catalogued in the Australian Living Map of Alternatives.

Geographic Context
Locality
Sydney (North) - Millers Point
Remoteness
Major Cities of Australia
Local Ecosystem
10079 orgs
Relationship Summary
Relationships
26
Inbound Value
$0
Outbound Value
$0
Integrity Assessment
ABN registered
ACNC financials available
Evidence-backed programs (ALMA)
Government funding received
Government contracts held
No political donations
No donations + contracts overlap
Serves disadvantaged area
Data Sources & Citation
CivicGraph Due Diligence Pack: Royal United Services Institute for Defence and Security Studies NSW Incorporated (ABN 80724654162). Generated 2026-06-18. Data sources: CivicGraph Entity Graph, ACNC, AusTender, AEC, ALMA.
CivicGraph — Decision Infrastructure for Government & Social Sector

This due diligence pack is auto-generated from public data sources. Verify critical claims against primary sources before inclusion in formal submissions.