How much will home prices increase in Canada in 2026?

Most major forecasters predict Canadian home prices will increase 2–5% nationally in 2026, driven by lower interest rates, continued immigration, and constrained supply. However, there is significant regional variance — prairie cities may see 5–8% growth while some overbuilt condo markets (particularly in Toronto) could see flat or slightly declining prices. No forecast should be treated as certain.

Will home prices go down in Canada?

A national price decline of 5%+ is unlikely in 2026 without a recession or major economic shock. Prices already corrected 15–20% from the 2022 peak in many markets and have partially recovered. However, specific segments — particularly downtown condos in Toronto and Vancouver — face oversupply risks that could lead to localized declines of 5–10%. A severe recession could cause broader declines of 10–20%.

What is the best way to predict home prices?

No one can reliably predict short-term home price movements. The most useful approach is scenario planning — understanding the range of possible outcomes and their likelihood, rather than relying on a single forecast. The key variables to watch are: interest rates (BoC policy rate), immigration levels, housing supply (completions), employment/unemployment rate, and household income growth.

How much have Canadian home prices increased historically?

Canadian home prices have averaged approximately 5–6% annual growth over the past 25 years. However, this average masks extreme variation. Prices basically tripled from 2000 to 2022, then corrected 15–20% before partially recovering. Toronto and Vancouver have seen much higher growth (6–8%/year average), while prairie cities have seen more modest 3–4%/year growth. Past performance does not predict future returns.

How Much Will Home Prices Increase in Canada? Analysis and Forecasting Methodology

Everyone wants to know where home prices are headed. Realtors, mortgage brokers, economists, governments, and home buyers all want a number — “How much will prices increase?” The honest answer is that nobody knows with precision, but we can analyze the drivers, review forecaster track records, and build scenarios to make informed decisions.

Historical price growth

National average home prices (1980–2026)

Year	Average Price	Annual Change	Context
1980	$67,000	—	Early data
1985	$80,000	+3.5%/yr	Moderate growth
1989	$141,000	+15%/yr	Late-80s boom
1990	$138,000	−2%	Correction begins
1995	$152,000	+2%/yr	Slow recovery
2000	$163,000	+1.5%/yr	Pre-boom (starting point for modern era)
2005	$249,000	+9%/yr	Boom accelerating
2007	$307,000	+11%/yr	Pre-financial-crisis peak
2009	$305,000	−1%	Mild correction (Canada)
2012	$363,000	+6%/yr	Recovery
2015	$443,000	+7%/yr	Low-rate fueled growth
2017	$510,000	+8%/yr	Vancouver/Toronto peaking
2019	$503,000	−1%/yr	Post stress-test plateau
2020	$531,000	+6%	COVID bounce
2021	$688,000	+30%	Historic boom
2022 (Feb peak)	$713,000	+4% (then -15%)	Peak then correction
2023	$657,000	−8% (peak to trough)	Market bottoming
2024	$670,000	+2%	Slow recovery
2025	$685,000	+2%	Rate cuts helping
2026 (est.)	$700,000–$720,000	+2–5%	Base case

Source: CREA, MLS. Prices are average (not median) national residential.

Long-run returns: what $100,000 in real estate became

Purchase Year	Purchase Price	Value in 2026	Total Return	Annualized Return
1990	$138,000	$700,000	+407%	+4.6%/yr
2000	$163,000	$700,000	+329%	+5.8%/yr
2005	$249,000	$700,000	+181%	+5.1%/yr
2010	$339,000	$700,000	+106%	+4.6%/yr
2015	$443,000	$700,000	+58%	+4.3%/yr
2020	$531,000	$700,000	+32%	+4.7%/yr
2022 (peak)	$713,000	$700,000	−2%	−0.5%/yr

Buying at peak prices (2022) means you’re still underwater or barely even. Long-term buyers have done well, but timing matters.

What drives home prices

The fundamental drivers

Driver	Direction of Effect	Current Status (2026)	Impact Level
Interest rates	Lower rates → higher prices	BoC cutting — rates at ~3.0% (policy)	High
Population growth / immigration	More people → more demand	Still strong but moderating	High
Housing supply	More supply → lower prices	Severely constrained — below replacement need	High
Employment / income growth	Higher incomes → more buying power	Employment stable, incomes growing 3–4%/yr	Moderate
Government policy	Varies — stimulus up, restrictions down	Mixed signals	Moderate
Consumer confidence / sentiment	Optimism → more buying	Cautiously improving	Moderate
Credit availability	Loose credit → more buyers	Stress test still in place, lending standards steady	Moderate
Foreign capital	Inflows → price support in select cities	Foreign buyer ban in place (but domestic demand matters more)	Low nationally

The interest rate - price relationship

Interest rates are the single most powerful short-term driver of home prices. Here’s why:

Rate Environment	Effect on Buyers	Effect on Prices
Rates falling	Payment drops → qualifies for more → bids higher	Prices tend to rise
Rates rising	Payment rises → qualifies for less → bids lower	Prices tend to fall
Rates stable	Market adjusts and finds equilibrium	Prices tend to follow income growth

Quantifying the rate effect

Rate Change	Impact on Purchasing Power ($100K income household)	Estimated Price Effect
−1.0% (from 5% to 4%)	Qualifies for ~$50,000 more	+6–8% price increase over 12–18 months
−0.5%	Qualifies for ~$25,000 more	+3–4%
+0.5%	Qualifies for ~$25,000 less	−3–4%
+1.0%	Qualifies for ~$50,000 less	−6–8%
+2.0% (as happened 2022)	Qualifies for ~$100,000 less	−15–20% (as happened)

Current forecasts for 2026–2027

Major forecaster predictions

Forecaster	2026 Price Forecast (national)	2027 Forecast	Key Assumption
CREA	+3–5%	+3–4%	Rate cuts boost activity
CMHC	+2–4%	+2–5%	Supply remains constrained
RBC Economics	+2–3%	+3–4%	Gradual recovery, affordability improving
TD Economics	+3–5%	+4–5%	Rates decline to 3% range, demand recovers
BMO Economics	+2–4%	+3–5%	Moderate optimism
National Bank	+3–6%	+3–5%	Immigration and supply factors dominate
Desjardins	+1–3%	+2–4%	More cautious — condo oversupply risk
Scotiabank	+2–4%	+3–5%	In line with consensus

Consensus range: +2–5% nationally for 2026, with most forecasters centering around +3%.

Regional forecasts (2026)

Region	Price Forecast	Reasoning
Alberta (Calgary, Edmonton)	+5–8%	Strongest market — migration, affordability, energy sector
Atlantic Canada	+3–6%	Continued interprovincial migration
Prairie provinces	+4–6%	Affordable entry points attracting buyers
Quebec	+3–5%	Steady demand, moderate supply
Ontario (ex-Toronto)	+2–4%	Gradual recovery from 2022 correction
Toronto	+0–3%	Condo oversupply risk, slow recovery
British Columbia (ex-Vancouver)	+2–4%	Moderate
Vancouver	+1–3%	Affordability ceiling, some foreign capital return

Scenario analysis: 2026–2030

Rather than relying on a single prediction, consider the range of plausible outcomes:

Scenario 1: Soft landing (most likely — 55% probability)

Factor	Assumption
BoC policy rate	Settles at 2.5–3.0%
Immigration	350,000–400,000 permanent residents/year
Employment	Unemployment stays 5.5–6.5%
Supply	Housing starts remain below replacement need
Result	+2–4% annual price growth nationally; real (inflation-adjusted) returns near 0%

Scenario 2: Strong recovery (25% probability)

Factor	Assumption
BoC policy rate	Falls to 2.0%
Immigration	Returns to 500,000+/year
Employment	Strong job growth, unemployment below 5.5%
Government stimulus	New housing incentives, extended amortizations
Result	+5–8% annual price growth; returns to rapid appreciation

Scenario 3: Recession and correction (15% probability)

Factor	Assumption
Trigger	Trade war escalation, global recession, or major financial shock
Unemployment	Rises above 8%
Confidence	Collapses — buyers retreat
Investor selling	Accelerates
Result	−10–20% correction over 12–18 months; recovery takes 2–3 years

Scenario 4: Stagflation (5% probability)

Factor	Assumption
Inflation	Stays above 3–4%
BoC rate	Can’t cut — stuck at 3.5%+
Unemployment	Rises moderately (7%+)
Income growth	Stagnates in real terms
Result	Prices flat nominally, declining 3–4%/year in real terms; severe affordability squeeze

Forecast accuracy: how reliable are predictions

Track record of major forecasters

Year	Consensus Forecast (Jan)	Actual Result	Accuracy
2019	+1–2%	+0%	Close
2020	+1–3%	+13%	Wildly wrong (COVID boom unexpected)
2021	+5–10%	+26%	Wildly wrong (underestimated by 2–3x)
2022	+5–10%	−8% (peak to year-end)	Completely wrong direction
2023	−5 to −10%	0% (roughly flat year-over-year)	Wrong magnitude
2024	+2–5%	+2%	Roughly right
2025	+3–5%	+2–3% (so far)	Close

Key lesson: Forecasters are decent at predicting “normal” years but consistently miss turning points and extremes. No forecaster predicted the 2021 boom or the 2022 correction accurately.

What to watch: leading indicators

Instead of relying on forecasts, monitor these leading indicators to form your own view:

Indicator	What to Watch	Where to Find It	Implication
BoC policy rate	Rate decisions every ~6 weeks	bankofcanada.ca	Lower rates = price support
Bond yields (5-year GoC)	Drives fixed mortgage rates	bankofcanada.ca	Rising yields = higher mortgage rates
Sales-to-new-listings ratio	Buyer competition	CREA monthly reports	Above 60% = seller’s market (prices rising)
Months of inventory	How long current listings would take to sell	CREA monthly reports	Below 4 months = tight market
Housing starts	New construction pipeline	CMHC monthly data	Higher starts = future supply
Unemployment rate	Labour market health	Statistics Canada	Rising unemployment = weaker demand
Immigration data	Population growth rate	IRCC quarterly data	Higher immigration = more housing demand
Building permits	Future construction activity	Statistics Canada	Declining permits = future supply crunch
Consumer confidence	Willingness to make major purchases	Conference Board of Canada	Low confidence = fewer buyers

How to interpret the sales-to-new-listings ratio

Ratio	Market Type	Price Direction
Below 40%	Buyer’s market	Prices declining
40–60%	Balanced market	Prices stable
Above 60%	Seller’s market	Prices rising
Above 75%	Strong seller’s market	Prices rising rapidly

Why forecasting is hard: the feedback loop problem

Housing prices are subject to reflexive dynamics — the forecast itself changes behavior:

Dynamic	Example
Self-fulfilling prophecy	“Prices will rise” → buyers rush in → prices rise
Self-defeating prophecy	“Prices will crash” → buyers retreat → prices fall
Policy reaction	High prices → government action → demand suppressed
Affordability ceiling	Prices rise → fewer buyers can qualify → demand falls → correction
Sentiment shifts	“Real estate always goes up” → overconfidence → overleveraging → vulnerability to shocks

This is why linear extrapolation (“prices went up 10% last year, so they’ll go up 10% this year”) is the worst forecasting method for housing.

A framework for personal decision-making

Instead of trying to predict prices, focus on what you can control:

Question	What Matters
Can you afford the payments?	Stress test yourself at current rate + 2%
Can you hold for 5–10 years?	Short-term fluctuations matter less over time
Are you buying to live or to speculate?	Buy to live = focus on lifestyle; buy to speculate = you’re gambling
What’s your downside scenario?	Can you handle a 15–20% price decline without being forced to sell?
Are you diversified?	Putting 80%+ of net worth in one asset (your house) is risky
Does the rent-vs-buy math work?	In some cities, renting and investing the difference is financially better

The 5% rule (Ben Felix framework)

A useful rule of thumb: multiply the home value by 5% to get the annual cost of owning (3% opportunity cost of equity + 1% property tax + 1% maintenance). If this number is higher than your annual rent for equivalent housing, renting may be financially better.

Home Value	Annual Cost of Owning (5%)	Monthly Cost	If Rent is Lower Than…
$400,000	$20,000	$1,667	Renting may be better
$600,000	$30,000	$2,500	Renting may be better
$800,000	$40,000	$3,333	Renting may be better
$1,000,000	$50,000	$4,167	Renting may be better

This is a simplified framework. Actual comparison depends on tax benefits, leverage, personal circumstances, and your expected holding period.

The bottom line

Canadian home prices have averaged 5–6% annual growth over 25 years — but with extreme variation year to year
The consensus forecast for 2026 is +2–5% nationally — with Alberta expected to outperform and Toronto condos to lag
Forecasters consistently miss turning points — they didn’t predict the 2021 boom or 2022 correction
Interest rates are the most powerful short-term price driver — a 1% rate change can move prices 6–8%
Scenario planning beats point predictions — consider the range of outcomes and plan for the downside
Your personal affordability math matters more than any forecast — buy what you can afford long-term, regardless of where prices are heading