Average House Prices in Canada increased to 688800 CAD in October from 687600 CAD in September of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

Graph and download economic data for Residential Property Prices for Canada (QCAN628BIS) from Q1 1970 to Q2 2025 about Canada, residential, HPI, housing, price index, indexes, and price.

The average Canadian house price declined slightly in 2023, after four years of consecutive growth. The average house price stood at ******* Canadian dollars in 2023 and was forecast to reach ******* Canadian dollars by 2026. Home sales on the rise The number of housing units sold is also set to increase over the two-year period. From ******* units sold, the annual number of home sales in the country is expected to rise to ******* in 2025. British Columbia and Ontario have traditionally been housing markets with prices above the Canadian average, and both are set to witness an increase in sales in 2025. How did Canadians feel about the future development of house prices? When it comes to consumer confidence in the performance of the real estate market in the next six months, Canadian consumers in 2024 mostly expected that the market would go up. A slightly lower share of the respondents believed real estate prices would remain the same.

A dataset comprising the price, address, number of bathrooms, number of bedrooms, city, and province of real estate listings for Canada's top 45 most populous cities, according to the 2021 census.

Variables:

1. City: City or major metropolitan area within which listings were found. For example, Toronto may include listings from surrounding suburbs such as Markham, Oakville, etc.
2. Price: Listed price for the property in Canadian dollars.
3. Address: Street address and, where applicable, unit number for the listing.
4. Number_Beds: Number of bedrooms mentioned in the listing.
5. Number_Baths: Number of bathrooms mentioned in the listing.
6. Province: Province in which each city resides. Note, border towns such as Ottawa do not include listings from the surrounding out-of-province cities like Gatineau.
7. Population: City population. According to simplemaps (https://simplemaps.com/data/canada-cities)
8. Longitude / Latitude: Longitude and Latitude data for individual cities, taken from simpelmaps (https://simplemaps.com/data/canada-cities)
9. Median_Family_Income: Median household income for the city taken from the 2021 Canadian census.

This dataset can be used for basic linear regression problems or for basic exploratory data analysis.

Data is currently representative of prices as of October 29th 2023. Future updates will occur monthly.

Housing Index in Canada decreased to 122.20 points in October from 122.70 points in September of 2025. This dataset provides - Canada New Housing Price Index - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The average resale house price in Canada was forecast to reach nearly ******* Canadian dollars in 2026, according to a January forecast. In 2024, house prices increased after falling for the first time since 2019. One of the reasons for the price correction was the notable drop in transaction activity. Housing transactions picked up in 2024 and are expected to continue to grow until 2026. British Columbia, which is the most expensive province for housing, is projected to see the average house price reach *** million Canadian dollars in 2026. Affordability in Vancouver Vancouver is the most populous city in British Columbia and is also infamously expensive for housing. In 2023, the city topped the ranking for least affordable housing market in Canada, with the average homeownership cost outweighing the average household income. There are a multitude of reasons for this, but most residents believe that foreigners investing in the market cause the high housing prices. Victoria housing market The capital of British Columbia is Victoria, where housing prices are also very high. The price of a single family home in Victoria's most expensive suburb, Oak Bay was *** million Canadian dollars in 2024.

New housing price index (NHPI). Monthly data are available from January 1981. The table presents data for the most recent reference period and the last four periods. The base period for the index is (201612=100).

Dataset Description: Vancouver Housing Data

The data folder contains structured property information extracted from real estate listings. It includes CSV files where each row represents a property with details such as price, location, size, number of bedrooms and bathrooms, and additional features like heating, cooling, and garage availability. This folder serves as the primary storage for processed real estate data, which can be used for market analysis, pricing trends, and investment insights.

Data Source

Website: Remax Canada Date: February 16th, 2025

Tools & Technologies Used

• requests: Fetches web pages containing housing data
• BeautifulSoup: Parses HTML to extract required information
• pandas: Stores, processes, and exports structured data
• numpy: Handles missing values and numerical processing
• tqdm: Provides a progress bar for tracking the scraping process
• concurrent.futures.ThreadPoolExecutor: Enables parallel requests for faster data collection

Features Collected

• Address Details: streetAddress, addressLocality, addressRegion, postalCode
• Geolocation: latitude, longitude
• Property Description: description
• Pricing Information: price, priceCurrency
• General Property Attributes: Beds, baths, square footage
• Additional Property Features: Heating, cooling, lot size, garage, year built, etc.

Potential Applications

Real Estate Market Analysis: Price trends, demand, and supply insights. Investment Decisions: Identifying profitable locations. Property Feature Analysis: Understanding what factors influence pricing.

Context The housing market in Canada has increased tremendously over the past year. This is the dataset contains information on the Canadian housing market from 2021-2022. I think this is a good introductory dataset for learning data visualization and analyzing tabular data.

Content The data is specific to the cost of detached houses in Canada based on data provided by several provincial realtors. There are two datasets. The first is the average home price in Canadian provinces. The columns are as follows,

Area - Canadian province and/or territory Price January 2022 - mean house price in the province as of January 2022 (in CAD) Price January 2021 - mean house price in the province as of January 2021 (in CAD) y/y % change - percent change in mean house price between 2021 and 2022

The second is the average home price in major Canadian cities. The columns are as follows, Major city Province Price 2021-2022 - mean house price in the city between 2021 and 2022 (in CAD) Population

Acknowledgments This data was initially featured in Wowa Canadian House Market reports.

This statistic presents the average home prices in selected Canadian cities in 2015. In that year, the average home price in Montreal amounted to approximately *** thousand Canadian dollars.

Canada Home Prices - Historical chart and current data through 2025.

House prices in British Columbia and Ontario were notably higher than any other province in Canada in 2024. The average house price in any other province was less than ******* Canadian dollars, whereas in British Columbia and Ontario, it exceeded ******* Canadian dollars. The most affordable province to buy a home was Newfoundland, where the average home cost about ******* Canadian dollars.

Residential Property Prices in Canada decreased 3.60 percent in June of 2025 over the same month in the previous year. This dataset includes a chart with historical data for Canada Residential Property Prices.

This dataset provides a comprehensive overview of new housing price indexes in Canada. The data is sourced from a reliable statistical survey, offering a detailed breakdown of housing prices across different components such as total house and land, house only, and land only. The dataset is structured to include key metrics such as geographical location, price index classification, and specific price values, providing a robust foundation for analyzing housing price dynamics within the country.

Key Features

• Price Index Metrics: The dataset includes price indexes for total house and land, house only, and land only, providing a complete picture of housing price dynamics across different components.
• Geographical Focus: Data is specific to Canada, providing insights into national housing price trends and patterns.
• Unit of Measurement: Information is presented in index units (201612=100), allowing for straightforward analysis and comparison.
• Temporal Precision: The data is time-stamped for January 1981, ensuring relevance and accuracy for temporal analysis.

Potential Uses

• Real Estate Market Analysis: Assist in understanding the housing price dynamics in Canada, which is crucial for real estate market forecasting and planning.
• Investment Decisions: Provide insights into optimal investment strategies for real estate in various regions.
• Economic Policy: Support policymakers in monitoring and ensuring compliance with housing market trends and economic standards.
• Market-Specific Insights: Evaluate the impact of housing price trends on specific regions and potential growth or decline areas.
• Strategic Planning: Inform strategic planning for real estate developers and policymakers by providing a clear snapshot of current housing price levels and trends.

House Price Index YoY in Canada decreased to -1.85 percent in October from -1.84 percent in September of 2025. This dataset includes a chart with historical data for Canada House Price Index YoY.

House Price Index MoM in Canada decreased to -0.40 percent in October from -0.20 percent in September of 2025. This dataset includes a chart with historical data for Canada House Price Index MoM.

This dataset contains Real Estate Rents listings in the Canada broken by Province and City. Data was collected via web scraping using python libraries.

You may use the dataset for Canada rents houses trend analysis (with respect to the location - province/city/longitude/latitude), regression analysis (price prediction), correlation analysis, etc.,

Content

The dataset has 1 CSV file with 18 columns -

rentfaster.csv (25k+ entries)

-**'rentfaster_id'** - id of property on https://www.rentfaster.com . Can be explore with www.rentfaster.ca/rentfaster_id -**'city'** - city of property like 'Toronto', 'Calgary', 'Vancuver' and etc. -**'province'** - province of property like 'Alberta', 'Ontario' and etc. -**'address'** - address of property like '333 Seymour St' and etc -**'latitude'** - latitude coordinate of rental property -**'longitude'** - longitude coordinate of rental property -**'lease_term'** - category of rental period like 'Long Term', 'Negotiable' and etc -**'type'** - category of type a rental property like 'House', 'Apartment', 'Basement' and etc -**'price'** - price in CAD -**'beds'** - count of bedrooms -**'baths'** - count of bathrooms -**'sq_feet'** - area of rental property in square feets -**'link'** - right side of url for getting full details of the property rentfaster.com+'link' -**'furnishing'** - Furnished or not -**'availability_date'** - Date of availability -**'smoking'** - is allow smoke -**'cats'** - is allow cats -**'dogs'** - is allow dogs

Home Sales in Canada increased to 40423 units in October from 40067 units in September of 2025. This dataset includes a chart with historical data for Canada Home Sales.

Explore the Redfin Canada Properties Dataset, available in CSV format and extracted in April 2022. This comprehensive dataset offers detailed insights into the Canadian real estate market, including property listings, prices, square footage, number of bedrooms and bathrooms, and more. Covering various cities and provinces, it’s ideal for market analysis, investment research, and financial modeling.

Key Features:

• Property Details: Includes crucial data such as listing price, property type, square footage, number of bedrooms and bathrooms, and more.
• Geo-Location Data: Provides geographical coordinates, allowing for spatial analysis and mapping.
• Market Trends: Offers historical data to analyze price trends and market fluctuations.

Who Can Use This Dataset:

• Real Estate Professionals: Evaluate market trends and property values to better advise clients or guide investment decisions.
• Investors: Analyze the Canadian housing market to identify investment opportunities and potential returns.
• Data Analysts and Researchers: Use this dataset to study market dynamics, urban development, or economic factors influencing the real estate sector.
• Financial Analysts: Incorporate the data into financial models to forecast market behavior and investment outcomes.

Download the Redfin Canada Properties Dataset to access valuable information on the Canadian housing market, perfect for anyone involved in real estate, finance, or data analysis.

Canada Luxury Residential Real Estate Market Report is Segmented by Property Type (Apartments & Condominiums, Villas & Landed Houses), by Business Model (Sales and Rental), by Mode of Sale (Primary (New-Build) and Secondary (Existing-Home Resale)), and by Province (Ontario, British Columbia, and More). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.