CivicGraph — Accountability Brief

Commonground Training Resources Inc

ABN 87481586628charity • Generated 2026-06-20
Executive Summary
  • Reported a $14K surplus in 2023 — financially healthy.
  • Clean political record — no political donations on file.
Entity Type
charity
State
VIC
SEIFA DecileSocio-Economic Indexes for Areas — decile 1 is most disadvantaged, 10 is least
Community Ctrl
No
Remoteness
Inner Regional Australia
LGA
Latrobe (Vic.)
Size: Small • PBI (Public Benevolent Institution — tax-deductible donations) • Purposes: Culture, Reconciliation, Social Welfare
Financial Summary
Latest Revenue
$184K
Latest Expenses
$170K
Total Assets
$161K
YearRevenueExpensesAssetsSurplusGov RevFTE
2023$184K$170K$161K$14K$01
2022$131K$113K$149K$18K$41K1
2021$97K$77K$125K$20K$47K1
2020$91K$131K$98K$-23,447$25K1
2019$469K$596K$248K$-127,451$02
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
SEYMOUR
Remoteness
Inner Regional Australia
Local Ecosystem
6 orgs
Relationship Summary
Relationships
17
Inbound Value
$6K
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: Commonground Training Resources Inc (ABN 87481586628). Generated 2026-06-20. 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.