The average house price in the Canadian province of Manitoba in 2024 stood at ******* Canadian dollars. In the next two years, the house prices in the province are forecast to rise slightly, reaching ******* in 2025. Compared to other provinces, Manitoba was below the average for the country. Manitoba: key factsManitoba is a mid-sized Canadian province in terms of population and located between Saskatchewan, Nunavut and Ontario. However, its population had been trending upward since 2000 and shows no signs of slowing down. This suggests that demand for housing is also on the rise, which may explain the forecasted prices increases in the region. Affordability in ManitobaWeekly earnings of both salaried and hourly employees have also been on the rise in the province since 2001. Although the increase for salaried employees has been larger than for hourly employees. Nonetheless, this means that Manitobans have more money to save for and spend on buying a home. The number of housing starts in the province have varied over the past years.

View monthly updates and historical trends for Manitoba New Housing Price Index, House Only. Source: Statistics Canada. Track economic data with YCharts a…

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.

The average house price in Saskatchewan was about ******* Canadian dollars in 2024, and according to the forecast, is set to increase in the next two years. However, house price growth in the province is expected to be slower than the national average. In terms of home prices, Saskatchewan is one of the most affordable provinces for housing. Saskatchewan: key factsSaskatchewan is a province located between Alberta and Manitoba north of the Canada-United States border. In 2023, the population of Saskatchewan was over *** million, which placed it as the sixth most populous Canada province. However, the population has been on the rise since 2006, so this may change in the future. Future of the housing marketThe number of housing starts in the province has been falling since 2012, which suggests that either supply is outstripping demand or that it’s simply not profitable enough for property developers. Some real estate experts in the region believe that the falling price of oil is causing the housing market slowdown because there are fewer jobs in the region as a result. However, they expect that the market will pick up again in the near future.

Canada House Price Index: New Housing: Winnipeg data was reported at 143.500 2007=100 in Dec 2016. This stayed constant from the previous number of 143.500 2007=100 for Nov 2016. Canada House Price Index: New Housing: Winnipeg data is updated monthly, averaging 62.500 2007=100 from Jan 1981 (Median) to Dec 2016, with 432 observations. The data reached an all-time high of 143.500 2007=100 in Dec 2016 and a record low of 38.200 2007=100 in Jan 1981. Canada House Price Index: New Housing: Winnipeg data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.EB006: House Price Index: 2007=100.

These datasets contain comprehensive information on current real estate listings in Washington, D.C., obtained from Zillow, and offer a detailed overview of the Washington, D.C. housing market as of 5th June 2024.

The data was extracted from Zillow using a combination of two scraping tools from Apify: Zillow ZIP Code Scraper 🔗 https://apify.com/maxcopell/zillow-zip-search and Zillow Details Scraper 🔗 https://apify.com/maxcopell/zillow-detail-scraper.

The full dataset includes all details for each listing for sale, such as:

• 📍 Complete address, city, state, zip code, latitude/longitude coordinates
• 🏡 Property type (single family, condo, apartment, etc.)
• 💵 Listing price
• 🛏️ Number of bedrooms and bathrooms
• 📐 Square footage
• 🌳 Lot size in acres (if applicable)
• 🏗️ Year of construction
• 🏘️ HOA fees (if applicable)
• 💸 Property tax history
• ✨ Amenities such as rooftop terraces, concierge services, etc.
• 🏫 Nearby schools and their GreatSchools ratings
• 🧑‍💼 Property and listing agents, brokers, and their contact information
• 🕒 Availability for tours and open houses
• 🖼️ Links to listing photos

With over 5,000 current listings, this dataset is perfect for in-depth analysis of the Washington, D.C. housing market and the Washington, D.C. real estate scene. Potential applications include:

• Comparing listing prices and price per square foot across various neighborhoods and property types
• Mapping listings to visualize the spatial distribution of available inventory
• Analyzing the age of available housing stock using year-of-construction data
• Assessing typical HOA fees and property taxes for listings
• Identifying listings with desirable amenities
• Evaluating school quality near listings using GreatSchools ratings
• Contacting listing agents programmatically using the provided agent information

Whether you're a real estate professional, market analyst, data scientist, or simply interested in the Washington, D.C., housing market, this dataset offers a wealth of information to explore. You can begin investigating and discovering insights into Washington, D.C. real estate today.

View monthly updates and historical trends for Winnipeg, MB New Housing Price Index. Source: Statistics Canada. Track economic data with YCharts analytics.

This dataset contains detailed information on current real estate listings in Houston, Texas, sourced from Zillow, and provides a comprehensive snapshot of the Houston housing market as of 5th June 2024.

The data was extracted from Zillow using a combination of two scraping tools from Apify: Zillow ZIP Code Scraper 🔗 https://apify.com/maxcopell/zillow-zip-search and Zillow Details Scraper 🔗 https://apify.com/maxcopell/zillow-detail-scraper.

The data includes key details for each listing for sale, such as:

• 📍 Complete address, city, state, zip code, latitude/longitude coordinates
• 🏡 Property type (single family, condo, apartment, etc.)
• 💵 Listing price
• 🛏️ Number of bedrooms and bathrooms
• 📐 Square footage
• 🌳 Lot size in acres (if applicable)
• 🏗️ Year of construction
• 🏘️ HOA fees (if applicable)
• 💸 Property tax history
• ✨ Amenities such as rooftop terraces, concierge services, etc.
• 🏫 Nearby schools and their GreatSchools ratings
• 🧑‍💼 Property and listing agents, brokers, and their contact information
• 🕒 Availability for tours and open houses
• 🖼️ Links to listing photos

With 25,900 current listings, this dataset is ideal for in-depth analysis of the Houston housing market and the Houston real estate market. Potential use cases include:

• Comparing listing prices, price per square foot across different neighborhoods, property types
• Mapping listings to visualize the spatial distribution of for-sale inventory
• Analyzing the age of for-sale housing stock from year-built data
• Evaluating typical HOA fees, and property taxes for listings
• Identifying listings with sought-after amenities
• Assessing school quality near listings from GreatSchools ratings
• Contacting listing agents programmatically using the included agent info

Whether you're a real estate professional, market researcher, data scientist, or just curious about the Houston housing market, this dataset provides a wealth of information to explore. You can start investigating Houston real estate today.

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.

The rental vacancy rate for apartments in Manitoba in Canada decreased in 2023. In that year, about *** percent of the rental apartments were vacant. This was slightly higher than the national average, but still lower than in Alberta and Saskatchewan.

Quarterly house price data based on a sub-sample of the Regulated Mortgage Survey.

Discover the booming Italian manufactured homes market! This comprehensive analysis reveals key trends, drivers, and restraints shaping this €300 million (2025 est.) sector, highlighting leading companies and growth projections to 2033. Learn about the rising demand for affordable, sustainable housing in Italy. Recent developments include: October 2022 - Mask Architects, based in Sardinia, Perugia, and Istanbul, designed the world's first "Exosteel" mother nature modular prefabricated living houses in Orani, Sardinia, Italy, led by Znur Pinar er and Danilo Petta. The "Mother Nature" project, designed for Nivola Museum visitors, tourists, and artists in Orani, consists of 14 modular houses. The house is made up of several organic branches that support the three floors of the building and a hollow central column that is inserted into the ground for one-third of its length., May 2022 - Capreon purchased a development site on the north side of Milan's inner ring. The new joint venture with Finanziaria Immobiliare D'Este (FIDE) plans to build 40 high-end apartments and commercial space. Work is expected to begin in early 2023. In response to the city's high demand for Class A residential units, the JV seeks to identify opportunities to regenerate metropolitan Milan, by prioritizing ESG considerations to deliver energy-efficient, modern, and high-quality residences.. Key drivers for this market are: The Rise in e-commerce and digitalization. Potential restraints include: The Complexity of regulations and property ownership. Notable trends are: Increasing Residential Real Estate Prices Demanding More Manufactured Homes Construction.

Real Estate / Housing Dataset

This dataset is web scrapped from a real estate website, collecting all the necessary infos on the resale and new properties. It has around 14000+ rows of data having properties from various Indian cities like Chennai, Mumbai, Bangalore, Delhi, Pune, Kolkata and Hyderabad. Columns:

Name: Property Name, Property Title: Property Ad Title, Price: Property Price Location: Property Located Locality and Region Total Area: Total SQFT of the property Price Per SQFT: Price of Per SQFT of the property Description: Small paragraph about the property Baths: Number of baths in the property Balcony: Whether the Property has balcony or not

1 Singapore Dollar == 0.70 United States Dollar 1 Singapore Dollar == 0.72 Euro 1 Singapore Dollar == 5.11 Chinese Yuan 1 Singapore Dollar == 3.64 Brazilian Real 1 Singapore Dollar == 58.24 Indian Rupee 1 Singapore Dollar == 2.65 Saudi Riyal 1 Singapore Dollar == 2.58 United Arab Emirates Dirham 1 Singapore Dollar == 153.95 Pakistani Rupee 1 Singapore Dollar == 14.05 Mexican Peso 1 Singapore Dollar == 10,967.44 Indonesian Rupiah 1 Singapore Dollar == 1.12 Australian Dollar

Revenue for the Property, Casualty and Direct Insurance industry in Manitoba is expected to decline an annualized -x.x% to $x.x billion over the five years to 2025, while revenue for the national industry will likely decline at -x% during the same period. The number of industry establishments has decreased an annualized -x.x% to xx locations over the past five years. Industry employment has decreased an annualized -x.x% to x,xxx workers during the period, while industry wages have decreased an annualized -x.x% to $x.x million.

MB "Real Estate Market Leaders" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

Canada GDP: CL 2017p: Manitoba: Real Estate & Rental & Leasing data was reported at 9,878.600 CAD mn in 2024. This records an increase from the previous number of 9,731.700 CAD mn for 2023. Canada GDP: CL 2017p: Manitoba: Real Estate & Rental & Leasing data is updated yearly, averaging 6,754.000 CAD mn from Dec 1997 (Median) to 2024, with 28 observations. The data reached an all-time high of 9,878.600 CAD mn in 2024 and a record low of 4,907.800 CAD mn in 1997. Canada GDP: CL 2017p: Manitoba: Real Estate & Rental & Leasing data remains active status in CEIC and is reported by Statistics Canada. The data is categorized under Global Database’s Canada – Table CA.A029: CSMA: GDP by Industry: Chain Linked 2017 Price: by Province and Territory.

United States PCE: saar: MB: SE: Housing data was reported at 1,680.681 USD bn in May 2013. This records an increase from the previous number of 1,676.387 USD bn for Apr 2013. United States PCE: saar: MB: SE: Housing data is updated monthly, averaging 978.537 USD bn from Jan 1987 (Median) to May 2013, with 317 observations. The data reached an all-time high of 1,680.681 USD bn in May 2013 and a record low of 441.209 USD bn in Jan 1987. United States PCE: saar: MB: SE: Housing data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A187: NIPA 2009: Personal Consumption Expenditure: Current Price: Market Based.

Dataset

This dataset was created by sublimE009

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