Economark — Economic Intelligence

🏦 Household Debt vs House Prices — Long-Run Relationship i

Household debt as % of GDP (left axis) vs real house price index (right axis) — BIS data

📉 House Price Corrections — Does Debt Fall With Prices? i

Historical correction episodes: peak-to-trough price falls and household debt behaviour

Period	Price Drop	Debt at Peak	Debt at Trough	Debt Change	Recovery	Fell?
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🔍 Key Findings Across All Countries

🧱 Debt Is Sticky Downward

8 of 15 corrections saw household debt continue rising even as house prices fell. Debt doesn't delever automatically — it persists.

⚖️ The Asymmetry Is The Trap

Prices fall, but mortgages don't. Households get squeezed from both sides — lower asset values with the same (or higher) debt burden.

🏦 Post-GFC Was Different

Tighter lending standards post-2008 changed the dynamic. More recent corrections (AU 2010, 2017, 2022; NZ 2022; UK 2022) all show debt actually falling — a structural shift.

🇬🇧 UK: The Only True Deleveraging

UK household debt peaked at ~98% of GDP and has declined to ~78%. It's the only country of the three that has structurally reduced its debt burden over time.

⚠️ Australia 1989–96: The Cautionary Tale

Prices fell 10% over 7 years — yet debt rose 10.9pp (from 43.6% to 54.5% GDP). The longest and most painful disconnect between prices and debt in the dataset.

🏠 Housing Supply vs Demand i

The core challenge: population growth consistently outpacing dwelling supply

Population & Migration — Demographic Drivers i

Australian population trends, net overseas migration, and growth rates

Net Overseas Migration

Population Growth Rate

State Population Comparison

Lending & Credit — Housing Finance Trends i

Housing loan commitments by borrower type — Owner-occupier, Investor, First Home Buyer

📊 LEADING INDICATOR — Lending leads approvals by 6-12 months

Building Approvals — Australia i

Dwelling unit approvals by type — Houses vs apartments (Total Sectors)

State:

State Breakdown (Latest Quarter)

Approvals vs Completions — Construction Pipeline Analysis i

Dwelling approvals and completions over time — tracking the gap between starts and finishes

Pipeline Backlog (Value of Work Yet To Be Done) i

Building Value Analysis — When Did Residential Construction Value Collapse? i

Value of residential building work completed ($ thousands) — Q1 2010 to Q3 2025

📉 Biggest Value Declines

Dwelling Stock & Vacancy — Supply Status i

Total dwelling stock, persons per dwelling, vacancy rates, and supply gap

Persons Per Dwelling i

Vacancy Rates i

🎯 Government 1.2M Housing Target (2024-2029)

Interest Rates & Construction Costs — The Financial Squeeze i

RBA cash rate movements and their impact on building approvals

Insolvencies vs Unemployment i

Construction insolvencies (left axis) overlaid with national unemployment rate (right axis)

Construction Insolvencies Over Time i

First-time external administration appointments — Construction industry

Year-over-Year Comparison

Construction insolvencies — annual totals

Construction Share of All Insolvencies

Construction as % of total insolvencies over time

State Breakdown

Construction insolvencies by state — filtered period

2026 Projection

Full-year estimate based on available data

🚨 Insolvency Impact on Supply — The Broken Builder Trap i

Construction insolvencies vs dwelling completions — showing the lagged correlation and feedback loop

Why the Insolvency Crisis Creates a Self-Reinforcing Supply Trap

High materials/labour costs + fixed-price contracts → Builder insolvencies
Insolvencies → Fewer active builders + incomplete projects abandoned
Reduced builder capacity → Fewer dwelling completions
Lower completions → Worse housing supply shortage → Higher prices
Higher prices + strong demand → More projects approved/commenced
But: Remaining builders are risk-averse, demand cost-plus or higher margins
If costs blow out again → More insolvencies → LOOP BACK TO STEP 1

Breaking the loop requires: (1) Cost stabilization (materials, labour), (2) Move away from fixed-price contracts, (3) Government risk-sharing schemes, (4) Industry consolidation to stronger players, (5) Realistic pricing/margins for builders

🏦 Mortgage Arrears — The Stress Indicator i

Housing loan non-performing rates — how close are we to historical stress peaks?

📜 Pre-2003 Historical Estimates (1991 Recession, GST Shock)

Data Sources: APRA Quarterly ADI Property Exposure Statistics (2019+), APRA ADI Performance Statistics archived (2008-2019), RBA Financial Stability Review (various years), RBA Bulletin July 2024, S&P SPIN RMBS arrears index. Pre-2003 estimates from RBA research papers and academic literature. Non-performing = 90+ days past due or impaired per APS 220.

📊 Credit & Asset Comparison — 1980s Boom vs Today i

Was the 1980s situation fundamentally different? The data says yes — and today is arguably more dangerous for different reasons.

Household Debt-to-Income Ratio (1988–2025)

Total debt & housing debt as % of disposable income — RBA Table E2

Real Property Prices & Housing Asset Wealth

BIS Real Residential Property Index (inflation-adjusted, 2010=100) vs Housing Assets/Income

Sources: RBA Statistical Table E2 (ABS Cat 5232.0, published 27 Mar 2026). BIS Real Residential Property Prices via FRED (QAUR628BIS, Q1 1970–Q4 2025). Household Debt to GDP from BIS/CEIC. The 1980s "boom" was primarily a corporate/commercial credit event — household leverage was modest. Today's leverage is concentrated in households backed by residential property, making the systemic risk profile fundamentally different.

🏛️ Scenario Analysis — Housing: Too Big to Fail? i

What happens to housing under different inflation & interest rate scenarios? Every Australian recession has triggered housing intervention — will the next one?

🛢️ Iran/Hormuz Oil Shock Overlay:

Impact Waterfall — What's Moving the Gap?

How each variable contributes to the projected supply-demand gap change

2-Year Supply vs Demand Projection

Quarterly outlook under this scenario (solid) vs baseline (faded)

🏛️ Government Intervention Probability

Likelihood of targeted housing stimulus based on scenario conditions & historical precedent

📋 Most Likely Intervention Levers

Ranked by probability under this scenario

📜 Historical Precedent — Every Downturn, Housing Gets the Chequebook

Model Methodology: Supply elasticities from RBA RDP 2019-01 (Saunders & Tulip): sustained 100bp rate cut → +6% house approvals, +11% apartment approvals (direct effect), ~2× total effect via housing prices. Insolvency-completion correlation of −0.45 with 4-6 quarter lag (Economark analysis of ABS/ASIC data). Demand = (NOM + natural increase ~130K) ÷ 2.5 persons per dwelling. Intervention score based on: vacancy rate severity, unemployment level, homelessness cascade, household wealth-at-risk (dwelling stock 4.14× GDP), bank mortgage exposure (62%), and supply gap magnitude. This is a simplified scenario tool — actual outcomes depend on timing, fiscal capacity, political cycle, and global conditions.