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Homies Research · Monthly Market Call

Trade risk is back. Housing’s recovery just got harder.

Canada’s August 2026 market call: tariff exposure, July CPI and labour, May GDP, oil and diesel inflation risk, consumer and mortgage stress, AI adoption, and a fresh national, provincial and five-city housing read.

Daniel FochData frozen August 24
Editorial illustration of Canadian homes, the Toronto skyline, freight containers, industrial cranes and a Canada map
homiesai.com
Real Estate Magazine

Executive thesis

The recovery is real enough to measure—and fragile enough to interrupt.

50%

U.S. tariff

On roughly $28B of Canadian goods, according to the Prime Minister’s August 21 statement.

3.0%

July CPI

But CPI excluding gasoline held at 2.2% for a third month.

+75K

July employment

Unemployment eased to 6.4%; wage growth cooled to 2.8%.

+0.5%

Home sales, MoM

The fourth consecutive seasonally adjusted gain, according to CREA.

Canada entered this call with more momentum than it had at the start of summer. Employment rose, May GDP expanded, national home sales increased for a fourth straight month, new listings fell, and the MLS benchmark price finally edged higher month over month.

Then trade risk returned. The new tariff is narrower than an across-the-board tax on every Canadian export, but it lands on an economy whose recovery is still shallow. It raises the chance that the same places already wrestling with soft resale markets—especially Ontario’s manufacturing corridor—face a new employment and confidence shock.

The operating conclusion is not “Canada is back” or “Canada is broken.” It is that the country has moved from broad deterioration to a regional, inventory-sensitive stabilization. The national average now hides more than it explains.

Part I · Trade war

The exposure map is local, not national.

On August 21, Prime Minister Mark Carney said Canada–U.S. talks had been suspended and that the United States would impose a 50% tariff on roughly $28 billion of Canadian goods. First Ministers said Canada’s matching response would take effect on the Tuesday after Labour Day. The first-round effect will depend on the product list, exemptions, exchange rate and how long the measures remain in force.

The Canadian Chamber of Commerce Business Data Lab gives us the better geographic frame. Its exposure index combines two ideas: how large U.S.-bound exports are relative to a city’s economy, and how dependent that city’s export mix is on the United States. That is why exposure concentrates in industrial and commodity-linked centres rather than simply tracking city size.

Oxford Economics reaches a similar geographic conclusion with a different measure. Using 2023 trade data and its metro estimates, it says U.S.-bound exports were tied to more than 60% of GDP in Calgary, Saint John and Windsor. Calgary carried an estimated $114 billion in U.S. exports, compared with $89 billion in Toronto and $45 billion in Montréal; Vancouver’s U.S.-bound exports were only 5% of local GDP. Business Data Lab is a structural index, while Oxford estimates trade value and local-GDP exposure. Neither is a forecast of realized 2026 job or housing losses.

Scatter plot comparing Canadian cities by U.S. export intensity and dependence
A city can be exposed because exports are large relative to its economy, because its exporters depend heavily on the U.S., or both. Source: Business Data Lab .
Business Data Lab ranking of Canadian metropolitan areas by tariff exposure
Saint John ranks first and Calgary second. Windsor, Kitchener–Cambridge–Waterloo, Brantford and Guelph occupy ranks three through six. Published February 2025; structural exposure, not a forecast of realized losses.
Map of Canadian tariff exposure hotspots in the Prairies, Central Canada and Atlantic Canada
The housing transmission runs through local jobs, business investment, confidence and migration. Currency depreciation can cushion exporters while making imports—and potentially inflation—more expensive.
Oxford Economics map of Canadian metros showing the value of United States exports and exports as a share of local GDP in 2023
Oxford Economics’ second lens reinforces the same corridor story: Calgary, Saint John and Windsor combine unusually high U.S.-bound export exposure with concentrated energy or manufacturing links. Bubble size shows export value; colour shows U.S. exports as a share of metro GDP. Source: Oxford Economics .

The provincial view separates trade intensity from trade dependence. Oxford estimates that U.S.-bound exports exceeded 30% of GDP in Alberta and New Brunswick in 2023, while more than 90% of each province's exports went to the United States. Ontario's exposure is different: it has the largest dollar value of U.S.-bound exports, but a broader domestic economy lowers the share of provincial GDP at risk.

Sector mix determines how that exposure transmits. Extraction dominates exports from St. John's and Calgary, while manufacturing dominates Saint John, Windsor and Oshawa. Energy exemptions could cushion extraction-heavy metros; steel, aluminum or automotive tariffs would concentrate the shock in manufacturing corridors. The product list matters as much as the headline tariff rate.

Oxford Economics chart comparing provincial United States exports as a share of GDP and as a share of total exports in 2023
Alberta and New Brunswick combine the highest direct U.S.-export intensity with the greatest dependence on the U.S. market. Canada's aggregate sits below both, while British Columbia and Nova Scotia have much lower U.S.-export exposure relative to GDP. Source: Oxford Economics and Statistics Canada . 2023 estimates; vulnerability, not a realized-loss forecast.
Oxford Economics stacked bars showing extraction, manufacturing and other shares of exports for selected Canadian metros in 2023
The composition chart explains why equal tariff rates need not create equal local outcomes. St. John's, Newfoundland and Labrador, is extraction-heavy; Saint John, New Brunswick, is manufacturing-heavy because refined petroleum is classified as manufacturing. Windsor and Oshawa are also overwhelmingly manufacturing-oriented. Source: Oxford Economics and Statistics Canada .

Housing implication

Watch employment and new listings in Windsor–Kitchener–Guelph–Hamilton first. Calgary’s ranking is high because energy exports matter to the local economy, but the price shock can run differently there: a weaker Canadian dollar or higher commodity revenue can offset some tariff damage. Exposure is not destiny; it tells us where to monitor the transmission.

Part II · Macro pulse

The headline data improved. The mix is still cautious.

CPI: July inflation rose to 3.0% from 2.8%, but gasoline was up 25.7% year over year. CPI excluding gasoline remained 2.2%. Shelter inflation slowed to 1.3%, while travel tours and air transportation accelerated. The headline is uncomfortable; the breadth is less alarming than the top line suggests.

Labour: Employment increased by 75,000 and the unemployment rate eased to 6.4%. Private-sector employment rose by 58,000 and self-employment by 44,000, while public-sector employment fell by 27,000. The better headline matters, but public-sector softness is relevant for Ottawa and other government-heavy markets.

GDP: Real GDP by industry grew 0.3% in May, with 13 of 20 sectors advancing. Residential building rose 1.1%, real estate/rental/leasing 0.4%, and offices of real estate agents and brokers 5.1%. Official June and second-quarter GDP were scheduled after this call, so Statistics Canada’s +0.2% June and +0.8% Q2 advance indications remain preliminary.

Inflation pressure map

Toggle headline, shelter, energy, gasoline and mortgage-interest cost inflation. Hover, touch or use the keyboard to inspect any month; download the frozen series or open its data table.

+46.3%+26.9%+7.5%-11.8%-31.2%Jan 20Apr 23Jul 26
Jul 26|All-items: +3.0%Shelter: +1.3%Energy: +16.6%

Year-over-year change calculated from Statistics Canada CPI indexes via stats.realist.ca.

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View accessible data table
MonthAll-itemsShelterEnergy
Jul 26+3.0%+1.3%+16.6%
Jun 26+2.8%+1.5%+14.3%
May 26+3.2%+1.7%+22.2%
Apr 26+2.8%+1.8%+19.2%
Mar 26+2.4%+1.7%+3.9%
Feb 26+1.8%+1.5%-9.3%
Jan 26+2.3%+1.7%-10.9%
Dec 25+2.4%+2.1%-8.8%
Nov 25+2.2%+2.3%-5.1%
Oct 25+2.2%+2.5%-6.5%
Sep 25+2.4%+2.6%-2.6%
Aug 25+1.9%+2.6%-8.3%
Jul 25+1.7%+3.0%-10.4%
Jun 25+1.9%+2.9%-9.5%
May 25+1.7%+3.0%-11.0%
Apr 25+1.7%+3.4%-12.7%
Mar 25+2.3%+3.9%-0.3%
Feb 25+2.6%+4.2%+3.0%
Jan 25+1.9%+4.5%+5.3%
Dec 24+1.8%+4.5%+1.0%
Nov 24+1.9%+4.6%-1.4%
Oct 24+2.0%+4.8%-3.5%
Sep 24+1.6%+5.0%-8.3%
Aug 24+2.0%+5.3%-4.7%
Jul 24+2.5%+5.7%+0.4%
Jun 24+2.7%+6.2%+0.5%
May 24+2.9%+6.4%+4.1%
Apr 24+2.7%+6.4%+4.5%
Mar 24+2.9%+6.5%+2.8%
Feb 24+2.8%+6.5%+1.3%
Jan 24+2.9%+6.2%-2.7%
Dec 23+3.4%+6.0%-0.4%
Nov 23+3.1%+5.9%-5.7%
Oct 23+3.1%+6.1%-5.4%
Sep 23+3.8%+6.0%+5.4%
Aug 23+4.0%+6.0%+1.8%
Jul 23+3.3%+5.1%-8.2%
Jun 23+2.8%+4.8%-14.6%
May 23+3.4%+4.7%-12.4%
Apr 23+4.4%+4.9%-4.2%
Mar 23+4.3%+5.4%-6.9%
Feb 23+5.2%+6.1%-0.6%
Jan 23+5.9%+6.6%+5.4%
Dec 22+6.3%+7.0%+7.3%
Nov 22+6.8%+7.2%+13.9%
Oct 22+6.9%+6.9%+16.2%
Sep 22+6.9%+6.8%+14.0%
Aug 22+7.0%+6.6%+19.0%
Jul 22+7.6%+7.0%+28.0%
Jun 22+8.1%+7.1%+38.8%
May 22+7.7%+7.4%+34.8%
Apr 22+6.8%+7.4%+26.4%
Mar 22+6.7%+6.8%+27.8%
Feb 22+5.7%+6.6%+24.1%
Jan 22+5.1%+6.2%+23.1%
Dec 21+4.8%+5.4%+21.2%
Nov 21+4.7%+4.8%+26.4%
Oct 21+4.7%+4.8%+25.5%
Sep 21+4.4%+4.8%+20.1%
Aug 21+4.1%+4.8%+20.7%
Jul 21+3.7%+4.8%+19.7%
Jun 21+3.1%+4.4%+19.5%
May 21+3.6%+4.2%+26.4%
Apr 21+3.4%+3.2%+32.7%
Mar 21+2.2%+2.4%+19.1%
Feb 21+1.1%+1.4%+2.4%
Jan 21+1.0%+1.4%-2.7%
Dec 20+0.7%+1.6%-4.0%
Nov 20+1.0%+1.9%-5.7%
Oct 20+0.7%+1.8%-6.0%
Sep 20+0.5%+1.7%-5.6%
Aug 20+0.1%+1.5%-6.3%
Jul 20+0.1%+1.5%-8.4%
Jun 20+0.7%+1.7%-8.8%
May 20-0.4%+1.0%-19.0%
Apr 20-0.2%+1.3%-23.7%
Mar 20+0.9%+1.9%-11.6%
Feb 20+2.2%+2.3%+4.3%
Jan 20+2.4%+2.4%+6.8%

Labour-market pulse

Switch between the unemployment rate and the employment-level index. July improved, but the labour market has not returned to the low-unemployment conditions of 2022–23.

15.33%12.41%9.50%6.59%3.67%Jan 20Apr 23Jul 26
Jul 26|Unemployment rate: 6.40%

Seasonally adjusted unemployment rate from the Labour Force Survey.

Download CSV
View accessible data table
MonthUnemployment rate
Jul 266.40%
Jun 266.50%
May 266.60%
Apr 266.90%
Mar 266.70%
Feb 266.70%
Jan 266.50%
Dec 256.80%
Nov 256.60%
Oct 256.90%
Sep 257.10%
Aug 257.10%
Jul 256.90%
Jun 256.90%
May 257%
Apr 256.90%
Mar 256.80%
Feb 256.60%
Jan 256.70%
Dec 246.70%
Nov 247%
Oct 246.60%
Sep 246.50%
Aug 246.60%
Jul 246.40%
Jun 246.40%
May 246.30%
Apr 246.20%
Mar 246.10%
Feb 245.90%
Jan 245.70%
Dec 235.80%
Nov 235.80%
Oct 235.70%
Sep 235.50%
Aug 235.40%
Jul 235.40%
Jun 235.40%
May 235.20%
Apr 235.10%
Mar 235.10%
Feb 235.20%
Jan 235.10%
Dec 225%
Nov 225%
Oct 225.10%
Sep 225.10%
Aug 225.20%
Jul 224.80%
Jun 224.90%
May 225.20%
Apr 225.40%
Mar 225.40%
Feb 225.50%
Jan 226.40%
Dec 215.90%
Nov 216.10%
Oct 216.50%
Sep 217%
Aug 217.10%
Jul 217.40%
Jun 217.90%
May 218.30%
Apr 218.20%
Mar 217.70%
Feb 218.50%
Jan 219.20%
Dec 208.90%
Nov 208.60%
Oct 209%
Sep 209.10%
Aug 2010.10%
Jul 2010.90%
Jun 2012.60%
May 2014.20%
Apr 2013.70%
Mar 208.50%
Feb 205.80%
Jan 205.50%

GDP recovery by sector

The national line is improving, but energy, construction and real estate are travelling on different paths. Every series is monthly, frozen and downloadable.

118.4112.9107.4101.896.3Jan 22Mar 24May 26
May 26|All industries: 109.3Energy: 116.3Construction: 102.6Real estate: 107.5

Monthly real GDP by industry, indexed to January 2022 = 100.

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View accessible data table
MonthAll industriesEnergyConstructionReal estate
May 26109.3116.3102.6107.5
Apr 26109.0115.0101.7107.0
Mar 26108.3111.7100.4106.8
Feb 26108.5113.0100.9106.6
Jan 26108.3112.5102.2106.6
Dec 25108.3111.7102.3106.8
Nov 25108.2112.2102.7106.8
Oct 25108.1111.4102.5106.7
Sep 25108.4111.8103.4106.5
Aug 25108.2111.4103.5106.6
Jul 25108.2111.7103.0106.3
Jun 25107.6109.4102.2105.8
May 25107.5108.3101.8105.5
Apr 25107.7110.9101.7105.2
Mar 25107.8112.3101.6104.9
Feb 25107.6110.7101.1105.1
Jan 25107.8112.4101.4105.3
Dec 24107.2110.0101.2105.3
Nov 24107.0107.8101.0105.5
Oct 24107.2109.5100.9105.0
Sep 24106.8106.9101.0104.5
Aug 24106.5108.0100.0104.2
Jul 24106.4107.999.2104.0
Jun 24106.2108.599.5104.0
May 24105.9106.5100.0103.7
Apr 24105.8106.5100.0103.6
Mar 24105.4105.5100.5103.5
Feb 24105.4105.199.2103.2
Jan 24104.7102.998.5103.0
Dec 23104.4106.998.9102.4
Nov 23104.6106.099.6101.7
Oct 23104.3103.699.9101.5
Sep 23104.2103.3100.4101.7
Aug 23104.2104.1100.5101.7
Jul 23104.2104.5100.5101.7
Jun 23104.1103.9100.3101.5
May 23104.2102.4100.4101.3
Apr 23104.2105.0101.0100.8
Mar 23104.2104.4100.0100.2
Feb 23103.8103.699.699.7
Jan 23103.5102.199.799.4
Dec 22102.5100.499.999.3
Nov 22102.8102.4100.499.1
Oct 22102.9103.2100.399.0
Sep 22103.0105.099.498.8
Aug 22102.8103.9100.198.7
Jul 22102.5103.7100.098.5
Jun 22102.3102.6100.698.4
May 22101.9102.5100.598.7
Apr 22101.7102.8100.999.0
Mar 22101.7100.9101.7100.0
Feb 22101.1101.3101.6100.4
Jan 22100.0100.0100.0100.0
WTI, gold, copper and Canadian-dollar market prices as of August 24, 2026

Canada's starting position

Commodity strength cushions a soft dollar—but does not make Canada immune.

WTI closed at US$84.89, gold at US$4,709.70, copper at US$6.595 per pound and the Canadian dollar at US$0.7224. These are point-in-time readings, not forecasts.

A weaker dollar supports Canadian export receipts but increases the domestic cost of imported goods. That means the same currency move can soften the income hit in commodity regions while adding to inflation pressure for households and businesses.

Part III · Energy and pass-through

The inflation risk is moving through product markets, not just crude.

Diesel is the practical bridge between geopolitics and the Canadian price level. It moves freight, construction equipment, agriculture and distribution. When refining margins rise faster than crude, transportation and goods costs can climb even while final demand remains soft.

Bank of Canada staff research helps calibrate the tariff channel. In the 2025 Canadian episode studied, prices of tariffed retail products peaked about 6% higher after three months—roughly one-quarter pass-through of a 25% tariff—with little spillover to untariffed domestic substitutes. A separate Bank staff note on the 2018–19 tariffs found materially more pass-through over six quarters. Timing, expectations, sourcing and the duration of the tariff all matter.

Bank of Canada estimates of retail price impacts for tariffed goods and substitute product groups

Bank of Canada evidence

Tariffed prices rose gradually; substitutes barely moved.

The 2026 staff paper’s four panels separate tariffed products from domestic substitutes, third-country substitutes and imported non-substitutes. The effect concentrated where the tariff actually landed and largely unwound after removal.

This is staff research—not a Governing Council forecast—and it studies a specific episode. It is evidence for gradual, incomplete pass-through, not a universal coefficient for every future tariff.

Diesel margin and reserve explorer

Switch between the derived diesel crack spread and U.S. strategic petroleum reserve stocks. The diesel series is heating oil × 42 minus WTI; the reserve series is directly observed by the EIA.

$109$79$48$18$-12Jan 07Oct 16Aug 26
Aug 26|Diesel crack spread, US$/bbl: $97

Monthly last observation derived from EIA heating-oil and WTI spot prices.

Download CSV
View accessible data table
MonthDiesel crack spread, US$/bbl
Aug 26$97
Jul 26$83
Jun 26$63
May 26$53
Apr 26$62
Mar 26$68
Feb 26$40
Jan 26$34
Dec 25$27
Nov 25$35
Oct 25$35
Sep 25$31
Aug 25$27
Jul 25$26
Jun 25$28
May 25$19
Apr 25$21
Mar 25$21
Feb 25$24
Jan 25$27
Dec 24$22
Nov 24$20
Oct 24$20
Sep 24$-0
Aug 24$13
Jul 24$16
Jun 24$17
May 24$17
Apr 24$18
Mar 24$22
Feb 24$30
Jan 24$37
Dec 23$31
Nov 23$42
Oct 23$40
Sep 23$45
Aug 23$41
Jul 23$36
Jun 23$27
May 23$20
Apr 23$16
Mar 23$27
Feb 23$34
Jan 23$47
Dec 22$51
Nov 22$53
Oct 22$94
Sep 22$56
Aug 22$58
Jul 22$46
Jun 22$53
May 22$50
Apr 22$86
Mar 22$48
Feb 22$24
Jan 22$20
Dec 21$18
Nov 21$15
Oct 21$15
Sep 21$18
Aug 21$14
Jul 21$11
Jun 21$8
May 21$11
Apr 21$10
Mar 21$9
Feb 21$11
Jan 21$10
Dec 20$10
Nov 20$9
Oct 20$7
Sep 20$6
Aug 20$5
Jul 20$9
Jun 20$8
May 20$4
Apr 20$11
Mar 20$20
Feb 20$16
Jan 20$15
Dec 19$23
Nov 19$23
Oct 19$25
Sep 19$25
Aug 19$21
Jul 19$22
Jun 19$21
May 19$22
Apr 19$22
Mar 19$22
Feb 19$26
Jan 19$23
Dec 18$24
Nov 18$26
Oct 18$29
Sep 18$25
Aug 18$23
Jul 18$19
Jun 18$17
May 18$24
Apr 18$21
Mar 18$18
Feb 18$15
Jan 18$19
Dec 17$23
Nov 17$18
Oct 17$21
Sep 17$24
Aug 17$22
Jul 17$15
Jun 17$12
May 17$12
Apr 17$11
Mar 17$14
Feb 17$13
Jan 17$11
Dec 16$14
Nov 16$12
Oct 16$12
Sep 16$14
Aug 16$11
Jul 16$8
Jun 16$10
May 16$10
Apr 16$10
Mar 16$10
Feb 16$10
Jan 16$8
Dec 15$4
Nov 15$11
Oct 15$13
Sep 15$15
Aug 15$15
Jul 15$14
Jun 15$14
May 15$16
Apr 15$18
Mar 15$18
Feb 15$31
Jan 15$21
Dec 14$19
Nov 14$18
Oct 14$19
Sep 14$16
Aug 14$19
Jul 14$18
Jun 14$14
May 14$15
Apr 14$20
Mar 14$20
Feb 14$25
Jan 14$39
Dec 13$31
Nov 13$34
Oct 13$27
Sep 13$19
Aug 13$19
Jul 13$17
Jun 13$18
May 13$19
Apr 13$17
Mar 13$25
Feb 13$33
Jan 13$34
Dec 12$36
Nov 12$39
Oct 12$42
Sep 12$40
Aug 12$37
Jul 12$30
Jun 12$29
May 12$27
Apr 12$28
Mar 12$30
Feb 12$28
Jan 12$30
Dec 11$24
Nov 11$26
Oct 11$34
Sep 11$38
Aug 11$40
Jul 11$34
Jun 11$28
May 11$25
Apr 11$24
Mar 11$24
Feb 11$26
Jan 11$23
Dec 10$16
Nov 10$12
Oct 10$11
Sep 10$14
Aug 10$11
Jul 10$7
Jun 10$7
May 10$10
Apr 10$9
Mar 10$7
Feb 10$5
Jan 10$7
Dec 09$9
Nov 09$6
Oct 09$5
Sep 09$5
Aug 09$4
Jul 09$6
Jun 09$2
May 09$2
Apr 09$4
Mar 09$6
Feb 09$9
Jan 09$19
Dec 08$11
Nov 08$16
Oct 08$19
Sep 08$19
Aug 08$17
Jul 08$20
Jun 08$23
May 08$26
Apr 08$20
Mar 08$28
Feb 08$16
Jan 08$14
Dec 07$15
Nov 07$16
Oct 07$11
Sep 07$11
Aug 07$12
Jul 07$10
Jun 07$14
May 07$15
Apr 07$14
Mar 07$13
Feb 07$13
Jan 07$12
User-supplied chart comparing refined-product crack spreads across several periods

The chart behind the call

Refining constraints can dominate the crude headline.

The original presentation visual shows that refined-product margins can spike in episodes where crude alone does not explain the move. The rebuilt interactive series above lets clients inspect the same mechanism month by month.

Use this as a supply-chain warning light—not a one-variable CPI forecast. Taxes, exchange rates, inventories, refinery outages and demand all affect the retail pass-through.

U.S. Strategic Petroleum Reserve history beside a chart of Chinese crude imports

Inventory context

The U.S. reserve is observable. China's strategic stockpile is not.

The U.S. Strategic Petroleum Reserve stood at 293.4 million barrels on August 14, near levels last seen in the early 1980s. China’s crude imports fell to 8.1 million barrels a day in the second quarter, 32% below the prior quarter, and EIA analysis implies inventory draws.

China does not publish a complete, timely strategic-inventory series. Replenishment demand is a plausible bullish scenario—not proof that Chinese reserves have reached a known critical low.

Part IV · Uncertainty

When the future gets harder to price, buyers stop buying.

Housing is a large, irreversible purchase. Elections, war and trade shocks increase the value of waiting because buyers cannot easily price employment, rates, taxes or the resale market. Bank of Canada surveys and Monetary Policy Reports repeatedly describe elevated uncertainty as a reason households postpone major purchases, including homes.

National sales weakened around the Ukraine invasion, the 2024 U.S. election, the opening 2025 tariff shock, the 2025 Canadian election and the 2026 Iran conflict. The overlap is suggestive—not causal. Seasonality, mortgage rates, affordability and local inventory were moving at the same time.

Home sales through five uncertainty shocks

Inspect monthly national sales around the five events highlighted in the presentation. The event timing is context, not a causal estimate.

69,53956,15942,77929,39916,019Jan 22Apr 24Jul 26
Jul 26|National residential sales: 43,578

Actual monthly residential sales. Event timing is contextual and does not establish causation.

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View accessible data table
MonthNational residential sales
Jul 2643,578
Jun 2648,342
May 2647,014
Apr 2642,927
Mar 2638,671
Feb 2630,171
Jan 2622,488
Dec 2525,971
Nov 2533,900
Oct 2542,299
Sep 2539,844
Aug 2540,389
Jul 2546,026
Jun 2547,919
May 2549,529
Apr 2544,698
Mar 2539,645
Feb 2532,669
Jan 2526,898
Dec 2428,002
Nov 2438,080
Oct 2444,201
Sep 2437,968
Aug 2439,696
Jul 2443,309
Jun 2445,956
May 2451,361
Apr 2448,895
Mar 2443,032
Feb 2435,827
Jan 2425,860
Dec 2322,816
Nov 2330,198
Oct 2334,080
Sep 2335,425
Aug 2340,570
Jul 2341,861
Jun 2350,717
May 2354,841
Apr 2344,764
Mar 2342,329
Feb 2329,983
Jan 2321,198
Dec 2221,985
Nov 2230,456
Oct 2233,910
Sep 2234,825
Aug 2238,669
Jul 2238,337
Jun 2248,366
May 2254,112
Apr 2255,239
Mar 2264,360
Feb 2250,207
Jan 2233,890
Canadian national home sales with markers for five geopolitical and election shocks

Base case

A soft fall market is still the most defensible scenario.

Improving sales and fewer listings keep the floor intact, but tariff, employment and energy risks make a clean breakout harder. The most likely path is a soft autumn market: regional, inventory-sensitive and vulnerable to confidence shocks.

That view changes if employment rolls over in exposed cities, listings rebuild in Ontario and British Columbia, or product-price inflation forces rates to stay higher for longer.

Part III · Rate transmission

The H.O.P.E. cycle has likely reached employment.

The H.O.P.E. framework, developed by Michael Kantrowitz at Piper Sandler, describes how an interest-rate shock tends to travel through the economy: Housing, Orders, Profits, then Employment. Housing reacts first because financing costs reprice quickly. Employers react last because hiring and layoffs usually follow changes in demand, output and margins.

Our read is that Canada is at or near that final handoff. Housing weakened early and is now stabilizing; May GDP improved; and the labour market has become the marginal question. July's 75,000 employment gain and lower unemployment rate are early confirmation that the last phase may be turning—but cooler wage growth and a 27,000 decline in public-sector employment argue against declaring victory.

Original H.O.P.E. economic-cycle roadmap showing housing responding first to changes in interest rates, followed by new orders, profits and employment
The original H.O.P.E. roadmap places housing among the earliest rate-sensitive signals and employment among the last to inflect. Its timing bands illustrate a typical sequence, not a fixed 24-month forecast. Graphic supplied for this report; framework attribution and context: Michael Kantrowitz interview transcript.

Rate-cycle roadmap

Earlier signals lead; employment confirms last.

Current read: E

  1. H

    Housing

    Turned first

    Resale activity weakened early in the rate cycle; July sales and the MLS HPI are now edging higher.

  2. O

    Orders

    Transmission already visible

    Rate-sensitive demand and activity weakened before the labour market became the central question.

  3. P

    Profits

    Broad activity improved

    May real GDP grew 0.3%, but this edition uses output only as a broad activity proxy—not a profits measure.

  4. E

    Employment

    Likely current phase

    July employment rose 75,000 and unemployment eased, while wage growth cooled and public employment fell.

H.O.P.E. is a sequencing heuristic, not a fixed calendar or a deterministic recession model. One strong Labour Force Survey print does not confirm a durable turn, and renewed tariff pressure could weaken orders and profits before employment fully heals. Source and attribution: Michael Kantrowitz interview transcript .

Why the trade shock matters now

If employment is the last phase, tariffs arrive at the point where the recovery needs labour income and confidence to validate it. A new orders or margin shock can interrupt the sequence before jobs fully heal. That makes payrolls, hours worked and new listings in tariff-exposed cities the highest-value confirmation data after this call.

Part IV · Household stress

Consumer filings are rising—and proposals still carry most of the load.

12,812

June consumer insolvencies

Up 11.8% from June 2025; monthly filings are not seasonally adjusted.

9,929

Consumer proposals

Up 11.1% year over year and equal to 77.5% of June consumer filings.

2,883

Consumer bankruptcies

Up 14.0% year over year—the faster-growing component in June.

145,762

Trailing-12-month filings

Consumer insolvencies were 5.9% above the prior 12-month period.

The Office of the Superintendent of Bankruptcy recorded 12,812 consumer insolvency filings in June, including 9,929 proposals and 2,883 bankruptcies. The proposal share matters: the headline is not a count of households abandoning repayment altogether. Most filers are using a formal restructuring process to keep paying a negotiated portion of what they owe.

For housing, this is a pressure gauge—not a forced-listing forecast. Filings lag the underlying shock, the series does not identify homeowners, and it does not tell us whether mortgage debt caused the filing. The practical signal is that household buffers are thinning just as tariffs reopen employment and cost-of-living risks.

Consumer proposals and insolvencies

Explore monthly Canadian filings from 1987 through June 2026. Toggle either series, change the time window, inspect exact months with the pointer or arrow keys, open the table, or download the frozen data.

16,00012,0008,0004,0000Jan 05Sep 15Jun 26
Jun 26|Consumer proposals: 9,929Consumer insolvency filings: 12,812

Counts are monthly and not seasonally adjusted. Consumer insolvencies include proposals and bankruptcies.

Download CSV
View accessible data table
MonthConsumer proposalsConsumer insolvency filings
Jun 269,92912,812
May 269,32012,131
Apr 269,67412,580
Mar 2610,65813,406
Feb 269,82812,307
Jan 269,05911,408
Dec 258,14210,652
Nov 259,06411,548
Oct 259,93812,662
Sep 259,87512,668
Aug 258,92011,303
Jul 259,67412,285
Jun 258,93511,464
May 259,37312,004
Apr 259,00611,646
Mar 259,59312,126
Feb 258,67310,903
Jan 258,97511,196
Dec 247,2889,292
Nov 249,22811,725
Oct 2410,02512,723
Sep 249,10711,452
Aug 249,02111,388
Jul 249,21311,748
Jun 248,75111,096
May 249,37012,195
Apr 249,21611,791
Mar 249,17111,555
Feb 249,27011,542
Jan 248,59510,788
Dec 237,1809,040
Nov 239,23511,682
Oct 238,82011,091
Sep 238,33710,530
Aug 238,19910,459
Jul 237,5079,482
Jun 238,34510,647
May 238,42910,961
Apr 237,5059,616
Mar 239,33711,768
Feb 237,2479,222
Jan 236,8768,735
Dec 225,9427,648
Nov 227,3179,423
Oct 226,8068,814
Sep 226,9719,156
Aug 226,7388,882
Jul 225,8707,822
Jun 226,7118,907
May 226,2408,425
Apr 225,8257,954
Mar 226,8549,195
Feb 225,5267,392
Jan 224,7986,566
Dec 214,8026,745
Nov 215,7258,102
Oct 215,2477,419
Sep 215,2637,497
Aug 214,8757,012
Jul 214,6516,604
Jun 215,1277,448
May 215,0687,437
Apr 215,3698,004
Mar 216,3369,224
Feb 215,2107,514
Jan 214,9587,086
Dec 204,7947,310
Nov 205,3047,919
Oct 205,4118,135
Sep 205,0527,658
Aug 204,1916,464
Jul 204,3006,585
Jun 204,1646,349
May 204,0646,111
Apr 204,5196,700
Mar 207,20610,947
Feb 207,38411,251
Jan 207,18911,029
Dec 196,21710,134
Nov 197,33711,821
Oct 198,07313,200
Sep 197,22211,935
Aug 196,79211,284
Jul 196,93711,489
Jun 196,59410,916
May 197,21212,375
Apr 196,92211,785
Mar 197,31811,963
Feb 196,20410,303
Jan 195,9419,973
Dec 185,0878,939
Nov 186,67011,320
Oct 186,55811,641
Sep 185,52810,005
Aug 185,84410,479
Jul 185,3929,829
Jun 185,79510,474
May 186,13811,400
Apr 185,92910,782
Mar 186,48111,315
Feb 185,4269,774
Jan 185,3279,308
Dec 174,4498,591
Nov 175,94910,775
Oct 175,66510,659
Sep 175,26010,122
Aug 175,40410,141
Jul 174,9419,272
Jun 175,48610,554
May 175,69611,311
Apr 175,01110,089
Mar 176,14811,780
Feb 175,3889,861
Jan 174,8329,043
Dec 164,3638,805
Nov 165,45010,920
Oct 165,12510,398
Sep 165,36110,729
Aug 165,11210,184
Jul 164,7469,503
Jun 165,64111,266
May 165,50411,437
Apr 165,48311,560
Mar 165,82411,625
Feb 165,40810,657
Jan 164,4898,794
Dec 154,4649,500
Nov 154,93510,059
Oct 155,15810,593
Sep 154,84710,262
Aug 154,3509,221
Jul 155,03810,338
Jun 154,87410,463
May 154,78210,295
Apr 155,04411,020
Mar 155,65011,381
Feb 154,7769,714
Jan 154,2858,763
Dec 144,0108,990
Nov 144,2929,383
Oct 144,96110,801
Sep 144,54610,063
Aug 144,1699,114
Jul 144,4789,911
Jun 144,2919,501
May 144,64110,778
Apr 144,69010,739
Mar 144,79110,371
Feb 144,3689,574
Jan 143,9748,825
Dec 133,3888,090
Nov 134,2119,829
Oct 134,56110,911
Sep 134,1459,796
Aug 133,9829,636
Jul 133,9559,757
Jun 133,9269,528
May 134,61111,187
Apr 134,52311,157
Mar 134,36510,161
Feb 133,9059,279
Jan 133,8829,347
Dec 123,0757,674
Nov 124,16910,232
Oct 124,29910,754
Sep 123,5179,055
Aug 123,8539,746
Jul 123,6249,249
Jun 123,9279,907
May 124,28510,994
Apr 123,97610,374
Mar 124,46911,020
Feb 124,18510,449
Jan 123,5248,944
Dec 113,3999,171
Nov 114,23410,863
Oct 113,7099,968
Sep 113,79710,307
Aug 113,70610,178
Jul 113,1868,815
Jun 113,78010,592
May 113,78210,579
Apr 113,83510,922
Mar 114,45812,133
Feb 113,77810,265
Jan 113,3429,206
Dec 103,2199,918
Nov 104,11012,003
Oct 103,59811,442
Sep 103,55611,378
Aug 103,46610,581
Jul 103,23210,373
Jun 103,65911,900
May 103,20511,123
Apr 103,80212,435
Mar 104,01212,796
Feb 103,43511,041
Jan 103,02010,018
Dec 093,02010,764
Nov 093,62912,111
Oct 093,64012,456
Sep 093,16015,465
Aug 092,49412,033
Jul 092,79713,091
Jun 092,96913,792
May 092,73912,639
Apr 092,88213,818
Mar 093,05113,629
Feb 092,68611,706
Jan 092,26410,208
Dec 082,1039,924
Nov 082,42610,589
Oct 082,51211,484
Sep 082,28110,628
Aug 081,8118,788
Jul 082,0929,544
Jun 081,9758,988
May 082,1169,480
Apr 082,18310,218
Mar 081,9668,702
Feb 081,9469,151
Jan 081,7688,293
Dec 071,4786,670
Nov 071,9749,067
Oct 071,9749,278
Sep 071,6108,040
Aug 071,8528,666
Jul 071,5977,857
Jun 071,8088,410
May 071,8899,365
Apr 071,7958,588
Mar 072,0669,243
Feb 071,7548,185
Jan 071,6497,924
Dec 061,4456,840
Nov 061,7698,715
Oct 061,7728,719
Sep 061,6588,227
Aug 061,6408,264
Jul 061,4547,162
Jun 061,5908,383
May 061,6198,631
Apr 061,5258,121
Mar 061,8819,608
Feb 061,5408,236
Jan 061,3507,582
Dec 051,3387,236
Nov 051,6419,211
Oct 051,5868,623
Sep 051,4438,603
Aug 051,4718,410
Jul 051,2177,432
Jun 051,6289,020
May 051,5739,004
Apr 051,6559,588
Mar 051,6509,391
Feb 051,5448,637
Jan 051,2567,449

Source: stats.realist.ca interactive explorer , using Office of the Superintendent of Bankruptcy / ISED filings. Retrieved August 24, 2026. Consumer insolvencies include consumer bankruptcies and consumer proposals. Counts are filings under the Bankruptcy and Insolvency Act, are not seasonally adjusted, and do not identify tenure, forced listings or the cause of filing.

Unemployment and mortgage arrears

The two national series have moved together over the long run. Indexing both to January 2010 makes the relationship legible without hiding their actual latest rates.

r = 0.73same-month correlation
r = 0.74unemployment leads 3 months
434monthly observations
185.6142.8100.157.314.6Jan 10Apr 18Jul 26
Jul 26|Unemployment rate index: 76.2Mortgage arrears index: n/a

Indexed to January 2010 = 100 for comparability. Correlation is not causation; arrears can lag labour shocks and policy can alter the relationship.

Download CSV
View accessible data table
MonthUnemployment rate indexMortgage arrears index
Jul 2676.2
Jun 2677.4
May 2678.6
Apr 2682.1
Mar 2679.8
Feb 2679.862.2
Jan 2677.460.0
Dec 2581.057.8
Nov 2578.655.6
Oct 2582.155.6
Sep 2584.553.3
Aug 2584.553.3
Jul 2582.151.1
Jun 2582.151.1
May 2583.348.9
Apr 2582.148.9
Mar 2581.048.9
Feb 2578.651.1
Jan 2579.848.9
Dec 2479.848.9
Nov 2483.346.7
Oct 2478.646.7
Sep 2477.444.4
Aug 2478.644.4
Jul 2476.244.4
Jun 2476.242.2
May 2475.042.2
Apr 2473.840.0
Mar 2472.642.2
Feb 2470.242.2
Jan 2467.940.0
Dec 2369.040.0
Nov 2369.037.8
Oct 2367.937.8
Sep 2365.535.6
Aug 2364.333.3
Jul 2364.333.3
Jun 2364.333.3
May 2361.933.3
Apr 2360.733.3
Mar 2360.733.3
Feb 2361.933.3
Jan 2360.735.6
Dec 2259.533.3
Nov 2259.533.3
Oct 2260.733.3
Sep 2260.731.1
Aug 2261.931.1
Jul 2257.131.1
Jun 2258.331.1
May 2261.933.3
Apr 2264.333.3
Mar 2264.333.3
Feb 2265.535.6
Jan 2276.237.8
Dec 2170.237.8
Nov 2172.637.8
Oct 2177.437.8
Sep 2183.340.0
Aug 2184.540.0
Jul 2188.140.0
Jun 2194.042.2
May 2198.844.4
Apr 2197.646.7
Mar 2191.748.9
Feb 21101.251.1
Jan 21109.551.1
Dec 20106.051.1
Nov 20102.448.9
Oct 20107.151.1
Sep 20108.355.6
Aug 20120.255.6
Jul 20129.857.8
Jun 20150.060.0
May 20169.057.8
Apr 20163.155.6
Mar 20101.253.3
Feb 2069.053.3
Jan 2065.553.3
Dec 1966.753.3
Nov 1970.251.1
Oct 1966.753.3
Sep 1966.753.3
Aug 1967.951.1
Jul 1967.951.1
Jun 1966.751.1
May 1965.551.1
Apr 1967.951.1
Mar 1969.053.3
Feb 1969.053.3
Jan 1967.955.6
Dec 1866.753.3
Nov 1867.953.3
Oct 1866.753.3
Sep 1869.053.3
Aug 1871.451.1
Jul 1870.253.3
Jun 1871.451.1
May 1870.251.1
Apr 1869.051.1
Mar 1869.053.3
Feb 1871.453.3
Jan 1870.253.3
Dec 1771.453.3
Nov 1773.853.3
Oct 1775.053.3
Sep 1773.853.3
Aug 1773.853.3
Jul 1775.055.6
Jun 1777.455.6
May 1778.655.6
Apr 1777.457.8
Mar 1779.860.0
Feb 1778.662.2
Jan 1782.162.2
Dec 1682.162.2
Nov 1681.060.0
Oct 1682.162.2
Sep 1683.362.2
Aug 1682.164.4
Jul 1683.362.2
Jun 1683.362.2
May 1684.562.2
Apr 1686.962.2
Mar 1685.762.2
Feb 1686.962.2
Jan 1685.762.2
Dec 1586.960.0
Nov 1584.557.8
Oct 1583.360.0
Sep 1584.560.0
Aug 1584.560.0
Jul 1583.360.0
Jun 1582.160.0
May 1582.162.2
Apr 1583.362.2
Mar 1582.162.2
Feb 1582.164.4
Jan 1581.064.4
Dec 1479.864.4
Nov 1481.062.2
Oct 1481.062.2
Sep 1483.362.2
Aug 1483.364.4
Jul 1484.562.2
Jun 1485.764.4
May 1486.964.4
Apr 1484.566.7
Mar 1484.568.9
Feb 1486.968.9
Jan 1486.971.1
Dec 1388.171.1
Nov 1384.568.9
Oct 1386.968.9
Sep 1384.568.9
Aug 1386.968.9
Jul 1386.966.7
Jun 1385.768.9
May 1384.568.9
Apr 1385.768.9
Mar 1386.971.1
Feb 1384.573.3
Jan 1384.573.3
Dec 1286.973.3
Nov 1288.171.1
Oct 1288.171.1
Sep 1288.173.3
Aug 1288.173.3
Jul 1286.973.3
Jun 1288.173.3
May 1290.575.6
Apr 1288.177.8
Mar 1288.182.2
Feb 1290.582.2
Jan 1291.784.4
Dec 1189.384.4
Nov 1190.586.7
Oct 1189.386.7
Sep 1189.388.9
Aug 1188.188.9
Jul 1188.188.9
Jun 1191.791.1
May 1191.791.1
Apr 1192.993.3
Mar 1192.995.6
Feb 1192.997.8
Jan 1192.9100.0
Dec 1092.995.6
Nov 1094.093.3
Oct 1096.493.3
Sep 1097.693.3
Aug 1097.693.3
Jul 1097.693.3
Jun 1095.293.3
May 1097.693.3
Apr 1097.695.6
Mar 1098.897.8
Feb 10100.0100.0
Jan 10100.0100.0

Source: stats.realist.ca; Statistics Canada Labour Force Survey and CBA mortgage arrears via Bank of Canada. Unemployment is current through July 2026; arrears through February 2026. Pearson correlation on national monthly levels is descriptive, not causal.

Part V · Grokbot and the harness shift

If you are not experimenting with AI, you are probably falling behind.

Grokbot is another signal that AI labs are moving beyond a model in a chatbox toward persistent agents with tools, memory, permissions and a place to work. You do not need a new model religion; you need hands-on experience with the agents arriving inside the harness you already use.

For a Realtor, the important question is whether AI can connect to the actual work: CRM, email, calendar, forms, showing workflows, marketing and browser tools—with human approval where it matters. Experiment there first. If your current stack cannot do it, Homies is a ready-to-use option.

200+

Beta agents

Internal Homies snapshot; not independently audited.

500+

Offers prepared

Across the beta cohort and internal workflows.

2,200

Showings handled

Scheduling and calendar actions.

11 hrs

Reported weekly savings

Average from the internal beta survey.

A harness, ready out of the box

Start with Homies for $129.99/month.

Early-access price, regularly $249.99/month, with monthly AI credits included. Try the agent workflows in your existing harness—or use Homies if you want the harness ready out of the box.

Start with Homies
Part VI · CREA housing pulse

Stabilization is visible. A national boom is not.

National home sales rose 0.5% month over month in July, the fourth consecutive seasonally adjusted gain. New listings fell 1.6% for a third consecutive decline. The sales-to-new-listings ratio increased to 51.3%, still below its 54.7% long-run average but no longer signalling the same inventory deterioration.

The MLS Home Price Index increased 0.1% month over month—its first increase since November 2024—while remaining 3.3% below a year earlier. The national average transaction price was $674,819, up 0.2% year over year. Turnover is finding a floor before prices establish a durable uptrend.

National housing pulse

Actual monthly residential series from January 2022 through July 2026. Switch between average price, sales, new listings and market balance.

69,53956,15942,77929,39916,019Jan 22Apr 24Jul 26
Jul 26|Unit sales: 43,578

Monthly series. Hover, touch or use arrow keys to inspect values.

Download CSV
View accessible data table
MonthUnit sales
Jul 2643,578
Jun 2648,342
May 2647,014
Apr 2642,927
Mar 2638,671
Feb 2630,171
Jan 2622,488
Dec 2525,971
Nov 2533,900
Oct 2542,299
Sep 2539,844
Aug 2540,389
Jul 2546,026
Jun 2547,919
May 2549,529
Apr 2544,698
Mar 2539,645
Feb 2532,669
Jan 2526,898
Dec 2428,002
Nov 2438,080
Oct 2444,201
Sep 2437,968
Aug 2439,696
Jul 2443,309
Jun 2445,956
May 2451,361
Apr 2448,895
Mar 2443,032
Feb 2435,827
Jan 2425,860
Dec 2322,816
Nov 2330,198
Oct 2334,080
Sep 2335,425
Aug 2340,570
Jul 2341,861
Jun 2350,717
May 2354,841
Apr 2344,764
Mar 2342,329
Feb 2329,983
Jan 2321,198
Dec 2221,985
Nov 2230,456
Oct 2233,910
Sep 2234,825
Aug 2238,669
Jul 2238,337
Jun 2248,366
May 2254,112
Apr 2255,239
Mar 2264,360
Feb 2250,207
Jan 2233,890

The provincial split

Atlantic Canada and the Prairies still lead most price rankings. Ontario remains the weakest large province on price, while sales-to-new-listings ratios show a broader improvement in balance.

Latest July 2026 provincial readings from the frozen stats.realist.ca / CREA snapshot.

Download CSV
View accessible data table
ProvinceAverage price, YoY
Prince Edward Island+5.6%
Saskatchewan+5.5%
Quebec+5.2%
Newfoundland & Labrador+3.0%
Alberta+2.7%
New Brunswick+2.2%
Manitoba+2.2%
Nova Scotia+1.5%
British Columbia-1.3%
Ontario-2.9%

Five large-market paths

Toronto and Greater Vancouver still carry the softest price and balance readings. Calgary and Edmonton retain stronger price levels, but July sales were below a year earlier in every market except Ottawa.

136.1120.0103.987.771.6Jan 22Apr 24Jul 26
Jul 26|Toronto: 80.6Greater Vancouver: 94.7Calgary: 122.3Edmonton: 121.9Ottawa: 98.7

Monthly series. Hover, touch or use arrow keys to inspect values.

Download CSV
View accessible data table
MonthTorontoGreater VancouverCalgaryEdmontonOttawa
Jul 2680.694.7122.3121.998.7
Jun 2685.097.3129.6125.2106.7
May 2685.996.4129.8125.9104.5
Apr 2684.494.9127.5124.1102.8
Mar 2681.793.4124.7122.0100.1
Feb 2680.994.1120.5118.494.8
Jan 2677.994.4118.8117.191.2
Dec 2580.892.9121.3117.693.4
Nov 2583.596.7120.6114.898.0
Oct 2584.598.5124.9116.9102.4
Sep 2585.197.7118.8116.199.9
Aug 2582.095.7117.9118.699.0
Jul 2584.496.6119.9119.4100.3
Jun 2588.599.3126.3119.5104.8
May 2590.098.6126.7119.4105.8
Apr 2588.894.6126.2120.8101.8
Mar 2587.596.4124.4119.398.5
Feb 2587.295.5119.1115.496.8
Jan 2583.694.0118.7113.096.2
Dec 2485.199.7117.1112.194.3
Nov 2489.199.6120.0112.096.7
Oct 2491.297.3120.0113.397.0
Sep 2489.397.9120.2112.999.4
Aug 2486.597.7118.3111.596.7
Jul 2489.4100.5118.5113.398.5
Jun 2493.5105.1121.7113.099.1
May 2493.7104.7120.5113.6100.7
Apr 2492.7101.5118.8111.4101.6
Mar 2490.4102.5117.7108.499.2
Feb 2489.599.6113.0105.095.4
Jan 2482.697.6110.7103.291.7
Dec 2387.396.6105.799.392.4
Nov 2387.5100.2105.598.192.6
Oct 2390.5101.5105.5100.996.0
Sep 2390.7101.6105.4101.398.7
Aug 2387.499.8101.4101.195.7
Jul 2390.499.2104.8104.3101.1
Jun 2395.298.7108.0105.899.3
May 2396.2102.2107.1107.698.8
Apr 2392.7100.9106.1104.8101.3
Mar 2389.198.9103.299.593.8
Feb 2388.295.199.194.692.5
Jan 2383.590.999.193.889.7
Dec 2284.791.998.095.489.2
Nov 2287.393.795.296.892.3
Oct 2287.496.798.2101.692.9
Sep 2287.696.196.4100.294.6
Aug 2287.992.595.4100.593.1
Jul 2286.394.197.6106.096.9
Jun 2292.294.9101.0108.4101.5
May 2297.599.3101.7109.0106.3
Apr 22100.5104.6103.4111.3109.0
Mar 22104.6104.5104.3110.7111.7
Feb 22107.5104.9107.5109.3110.6
Jan 22100.0100.0100.0100.0100.0

Index begins at 100 for each market’s January 2022 observation.

July 2026 five-city dashboard
MarketAvg. pricePrice YoYSales YoYListings YoYSNLR
Toronto$1,003,956-4.5%-0.9%-17.8%41.4%
Greater Vancouver$1,216,914-1.9%-9.6%-14.1%42.5%
Calgary$642,837+2.0%-6.7%-10.9%57.6%
Edmonton$465,177+2.1%-11.0%-2.1%58.2%
Ottawa$694,698-1.6%+1.1%-3.0%52.4%

The five-city comparison uses the largest current board-level series exposed in the stats.realist.ca public manifest: Toronto, Greater Vancouver, Calgary, Edmonton and Ottawa. A Greater Montréal board aggregate was not available in that manifest; Quebec is shown in the provincial view.

Part VII · Realtor playbook

What changes on Tuesday morning?

01

Tariff-exposed markets

Lead with employment and sector exposure, not a generic national forecast. Add employer and industry questions to every seller and buyer intake.

02

Ontario and Vancouver

More balance does not mean pricing power has returned. Use current competing inventory and absorption; do not anchor to 2022 or even early-2025 expectations.

03

Prairies and Atlantic Canada

Stronger price momentum can coexist with slower sales. Watch whether listings rebuild before assuming another leg of appreciation.

04

Your own operating system

Start experimenting inside the harness you already use. If it cannot connect CRM, calendar, marketing and transaction work with human approvals, try Homies.

Housing found a floor at the same moment trade risk reopened the trapdoor.

The bullish confirmation would be continued sales gains, rising prices without a renewed listing surge, and stable employment through the tariff shock. The bearish confirmation would be a local employment rollover in exposed cities, a renewed inventory build in Ontario and British Columbia, or gasoline and import costs broadening into persistent core inflation.

Sources and methodology

The report freezes information available through August 24, 2026. Housing, macro, consumer-insolvency and mortgage-arrears charts use a frozen copy of public stats.realist.ca series; national release statistics are reconciled to Statistics Canada, CREA, OSB/ISED, EIA and Bank of Canada sources. Tariff exposure visuals from Business Data Lab and Oxford Economics use different methodologies. Event overlays and correlations are descriptive, not causal. Homies operating metrics are internal beta counts and survey results, not independently audited.