Vancouver Condo Demand Pressure Model — WBN Data Desk
WBN Data Desk™

Condo Demand Pressure Model

v1.1 · Vancouver Market · Qualified-Buyer Engine · Cast OS™ v0.3 aligned
v1.1 · 06-17-26
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Thesis
This is not a supply model. It is a qualified-household capacity model. A buyer only counts if they can clear income, down-payment, and credit thresholds at today's carrying cost — and still feel confident enough to sign. Qualified Buyers ÷ Active Supply = Demand Pressure Index.
Scenario Select
10 forward paths, recalculated live
Live Reading
Blended Demand Pressure Index across all unit types under the selected scenario.
Headline Readout
Required Household Income
Higher of GDS / TDS thresholds
Ownership Gap vs. Rent
Carrying cost minus comparable rent
Effective Buyer Pool
Active qualified buyers, all unit types
Implied Price Pressure
Positive = model-implied downside risk
Run the model to see the read.
Mortgage Qualification & Carrying-Cost Inputs
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Qualifying rate follows the OSFI rule: greater of contract rate + stress add-on, or the 5.25% floor. Required income is the higher of the GDS and TDS thresholds.
Other monthly costs (tax, insurance, utilities) scale with unit size; the 2-bed value above is the baseline. Building-risk inputs apply a confidence drag representing reserve-fund gaps, special-levy exposure, and insurance-claim history.
Household Income Bands & AI Job-Shock Exposure
AI displacement is modeled as a band-specific shock to professional/knowledge-work income tiers — the bands most exposed to white-collar automation, and historically the core of the condo buyer base.
Households, midpoints, and eligibility rates are starter assumptions — replace with Statistics Canada household income-distribution data for your CMA when available.
Households vs. active buyers, by income band (headline unit type)
Buyer pool by segment
Shares are normalized to 100% automatically and apply to the non-investor pool; investors are added separately via the Investor Add-On in Assumptions.
Studio Through 3-Bedroom
Each unit type carries its own price, active supply, comparable rent, and strata fee. Required income and DPI are computed independently per type, then blended for the headline reading.
Required income by unit type
Demand Pressure Index by unit type
All Ten Paths, Side By Side
Blended across all unit types
ScenarioAI TierRate ΔConfidenceBuyersDPISignal
Demand Pressure Index across scenarios
Stress-Test Two Variables At Once
Holds the current scenario and all other assumptions fixed while sweeping the two variables you choose. Uses the headline unit type.
< 0.6 major repricing risk 0.6–0.8 meaningful pressure 0.8–1.0 softening 1.0–1.5 balanced > 1.5 strong seller
Tier 1 — Critical Mortgage-Qualification Drivers
~45% combined weight
FactorWeightImpactWhy it matters
Household income growth20%10/10The foundation of mortgage qualification — without it, affordability breaks regardless of rates.
Mortgage rates15%9/10Directly reduces borrowing power and pushes the required income higher.
Employment / job security10%9.5/10Households pull back before layoffs appear if future income feels uncertain.
Down payment availability10%8.5/10Many households clear the income bar but fail the cash/equity requirement.
Tier 2 — Major Demand Drivers
~30% combined weight
FactorWeightImpactWhy it matters
Immigration8%8/10Supports long-run demand, but most newcomers rent before they buy.
Population growth5%7/10Adds housing demand generally, not necessarily ownership demand specifically.
Rent levels5%7/10High rents push toward ownership — unless carrying costs rise even faster.
Condo supply7%7/10Only becomes a problem relative to the qualified buyer pool, not population alone.
Investor participation5%7/10A pullback removes marginal demand quickly, as modeled in the Investor Pullback scenario.
Tier 3 — Emerging Structural Drivers
~20% combined weight
FactorWeightImpactWhy it matters
AI job displacement5–15%8–10/10Could shrink the $150K–$300K professional bands that anchor condo demand.
White-collar wage compression5%8/10Reduces buying power even without outright job loss.
Consumer confidence5%7/10Purchases depend on belief that tomorrow's income looks better than today's.
Economic uncertainty5%7/10Delays large, hard-to-reverse commitments like a condo purchase.
Tier 4 — Condo-Specific Cost Risks
~15% combined weight
FactorWeightImpactWhy it matters
Strata fees5%7.5/10Functions like a second, permanent mortgage payment.
Special levy risk5%8/10Future repair exposure can discount older buildings sharply.
Insurance costs2%6/10Rising premiums add directly to monthly carrying cost.
Building age / reserve-fund quality3%7/10Older, underfunded buildings carry higher capital-replacement risk.
The Killer Variable: Qualified Household Formation™
The number of households that can simultaneously clear stable employment, adequate income, down-payment capacity, and the confidence to buy. If AI displacement, higher rates, strata-fee inflation, and weak wage growth shrink that pool, condo prices stay exposed even in a high-population-growth city.
Data & Methodology
All starter values in this cast are editable placeholders. Replace them as fresher public data becomes available — nothing here calls an external API.

Supply, sales & price

  • Greater Vancouver REALTORS® monthly market report
  • MLS® Home Price Index, condo/apartment benchmark
  • Active apartment listings & months of inventory

Rates & qualification

  • Bank of Canada policy rate
  • Posted 5-year fixed mortgage rates
  • OSFI mortgage stress-test rule

Rent & vacancy

  • CMHC Rental Market Report
  • Average rent by unit type, Vancouver CMA
  • Purpose-built rental completions

Population & immigration

  • Statistics Canada population estimates
  • BC population projections
  • IRCC permanent-resident admissions

Labour & income

  • Statistics Canada Labour Force Survey
  • Vancouver CMA unemployment rate
  • Household income distribution by band

Condo ownership cost

  • Average strata fees by building age/type
  • Depreciation report / reserve-fund disclosures
  • Property insurance and tax estimates
Core Formulas
Qualifying Rate = max(Contract Rate + Stress Add-On, 5.25%)
Required Income = max(Carrying Cost ÷ GDS Limit, (Carrying Cost + Other Debt) ÷ TDS Limit) × 12
Qualified Buyers = Households × AI-Shock Factor × Income Eligibility × Down-Payment Rate × Credit Rate × Confidence × Annual Intent
Demand Pressure Index (DPI) = Σ Qualified Buyers (incl. investor add-on) ÷ Σ Active Supply
Implied Price Pressure = (1 − DPI) × Elasticity, when DPI < 1.0
Signal Scale
DPI rangeSignal
> 1.50Strong seller market
1.00 – 1.50Balanced / firm market
0.80 – 1.00Softening market
0.60 – 0.80Meaningful price pressure
< 0.60Major repricing risk