This dataset provides insights into the global housing market, covering various economic factors from 2015 to 2024. It includes details about property prices, rental yields, interest rates, and household income across multiple countries. This dataset is ideal for real estate analysis, financial forecasting, and market trend visualization.

📑 Column Descriptions

Column Name	Description
Country	The country where the housing market data is recorded 🌍
Year	The year of observation 📅
Average House Price ($)	The average price of houses in USD 💰
Median Rental Price ($)	The median monthly rent for properties in USD 🏠
Mortgage Interest Rate (%)	The average mortgage interest rate percentage 📉
Household Income ($)	The average annual household income in USD 🏡
Population Growth (%)	The percentage increase in population over the year 👥
Urbanization Rate (%)	Percentage of the population living in urban areas 🏙️
Homeownership Rate (%)	The percentage of people who own their homes 🔑
GDP Growth Rate (%)	The annual GDP growth percentage 📈
Unemployment Rate (%)	The percentage of unemployed individuals in the labor force 💼

Discover the booming rental housing market! Explore key trends, drivers, and challenges impacting this multi-trillion dollar industry. Learn about top players like Airbnb and Zillow, regional market share, and future growth projections to 2033. Get insights to inform your investment or business strategy.

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

Revenue for apartment lessors has expanded through the end of 2025. Apartment lessors collect rental income from rental properties, where market forces largely determine their rates. The supply of apartment rentals has grown more slowly than demand, which has elevated rental rates for lessors' benefit. As the Federal Reserve hiked interest rates 11 times between March 2022 and January 2024, homeownership was pushed beyond the reach of many, resulting in a tighter supply and increased demand for rental properties. Despite three interest rate cuts in 2024, mortgage rates have remained stubbornly high in 2025, encouraging consumers to rent. Revenue has climbed at a CAGR of 2.6% over the past five years and is expected to reach $295.3 billion by the end of 2025. This includes an anticipated 1.4% gain in 2025 alone. The increasing unaffordability of housing is caused by the steady climb of mortgage rates and high prices maintained by a low supply. Supply has been held down as buyers who locked in low rates stay put, and investment groups hold a strategic number of their properties empty as investments. Industry profit has remained elevated because of solid demand for apartment rentals. Through the end of 2030, the apartment rental industry's future performance will be shaped by varying factors. The apartment supply in the US, which hit a record in 2024, is expected to taper off, which will push rental prices and occupancy rates up to the lessors' benefit. Other factors, such as interest rate cuts, decreasing financial barriers to homeownership and a high rate of urbanization, will also significantly impact the industry. With an estimated 80.7% of the US population living in urban areas, demand for apartment rentals will strengthen, although rising rental prices could force potential renters to cheaper suburbs. Demand will continue to outpace supply growth, prompting a climb in revenue. Revenue is expected to swell at a CAGR of 1.7% over the next five years, reaching an estimated $321.9 billion in 2030.

This dataset provides monthly rental price statistics for apartments across urban neighborhoods, including average, median, minimum, and maximum rents by apartment type and location. It enables detailed market trend analysis, investment strategy development, and urban planning by offering granular insights into rental dynamics over time. The dataset is ideal for real estate professionals, investors, and researchers seeking to understand rental market fluctuations.

Discover the booming detached house rental market! This comprehensive analysis reveals key trends, growth drivers, and major players shaping the future of single-family home rentals, projecting a substantial market expansion through 2033. Learn about market size, regional variations, and the top companies leading this lucrative sector.

The online home rental market is set to experience significant growth from 2025 to 2035, driven by increasing urbanization, rising digital adoption, and the growing demand for flexible living solutions. The market is expected to expand from USD 20.4 billion in 2025 to USD 82.5 billion by 2035, reflecting a CAGR of 14.2% during the forecast period.

Metric	Value
Industry Size (2025E)	USD 20.4 billion
Industry Value (2035F)	USD 82.5 billion
CAGR (2025 to 2035)	14.2%

Global Online Home Rental Market - Country-Wise Per Capita Spending

Country	United States
Population (millions)	345.4
Estimated Per Capita Spending (USD)	145.20

Country	United Kingdom
Population (millions)	68.3
Estimated Per Capita Spending (USD)	132.50

Country	Germany
Population (millions)	83.2
Estimated Per Capita Spending (USD)	120.80

Country	France
Population (millions)	65.6
Estimated Per Capita Spending (USD)	110.30

Country	Canada
Population (millions)	39.2
Estimated Per Capita Spending (USD)	138.60

Country-Wise Outlook

Country	CAGR (2025 to 2035)
United States	6.8%

Country	CAGR (2025 to 2035)
United Kingdom	6.5%

Country	CAGR (2025 to 2035)
Germany	6.7%

Country	CAGR (2025 to 2035)
India	7.5%

Country	CAGR (2025 to 2035)
China	8.1%

Competition Outlook

Estimated Market Share (%), 2024
Airbnb	20-25%
Zillow Rentals	15 to 20%
Realtor.com	12-16%
Apartments.com ( CoStar Group)	10-14%
Other Companies (combined)	35-45%

Snapshot img

Vacation Rental Market Size 2025-2029

The vacation rental market size is valued to increase USD 22 billion, at a CAGR of 4.1% from 2024 to 2029. Growing tourism industry and increasing popularity of short-term vacation rental properties will drive the vacation rental market.

Major Market Trends & Insights

Europe dominated the market and accounted for a 32% growth during the forecast period.
By Management - Managed by owners segment was valued at USD 48.50 billion in 2023
By Method - Offline segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 68.07 billion
Market Future Opportunities: USD 22.00 billion
CAGR : 4.1%
Europe: Largest market in 2023

Market Summary

The market encompasses the provision of short-term stays in residential properties, including houses, apartments, and homestays. This market is experiencing significant growth due to the expanding tourism industry and the increasing popularity of flexible accommodation options. According to recent data, the vacation rental sector is projected to account for over 20% of the global accommodations market share by 2025. Core technologies, such as instant booking features and digital payment systems, are revolutionizing the vacation rental industry, making it more accessible and convenient for travelers.
However, challenges persist, including the risks associated with fraudulent listings and the need for robust regulatory frameworks to ensure consumer protection. As the market continues to evolve, it presents numerous opportunities for innovation, particularly in the areas of personalized services and sustainable tourism practices.

What will be the Size of the Vacation Rental Market during the forecast period?

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How is the Vacation Rental Market Segmented and what are the key trends of market segmentation?

The vacation rental industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Management

  Managed by owners
  Professionally managed


Method

  Offline
  Online


Type

  Home
  Apartments
  Resort/Condominium
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Italy
    UK


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Management Insights

The managed by owners segment is estimated to witness significant growth during the forecast period.

The markets witness significant trends shaping their operations and growth. Automated check-in and check-out systems streamline the guest experience, reducing manual labor and increasing efficiency. Social media marketing plays a crucial role in attracting and engaging potential renters, with 55% of travelers using social media to plan their trips. Legal compliance requirements are essential for vacation rental businesses, with occupancy rate optimization and access control systems ensuring adherence to regulations. Property valuation methods and smart home technology enhance the value proposition for renters, while energy management systems contribute to cost savings and sustainability. Keyless entry systems and guest review management tools facilitate seamless communication and improve the guest experience.

Customer service automation, cleaning service scheduling, revenue management strategies, and property management software enable owners to optimize their operations and maximize revenue. Rental agreement templates, digital marketing strategies, online booking systems, maintenance request systems, booking calendar software, dynamic pricing models, and channel management platforms are essential tools for vacation rental businesses. Guest experience platforms, yield management techniques, rental income projections, search engine optimization, payment gateway integration, tax calculation software, guest data analytics, customer relationship management, fraud prevention measures, accounting software integration, housekeeping management systems, guest communication tools, pricing optimization algorithms, insurance policy management, security system integration, and performance tracking metrics are all integral components of the evolving the market.

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The Managed by owners segment was valued at USD 48.50 billion in 2019 and showed a gradual increase during the forecast period.

Industry growth is expected to be robust, with 32% of travelers expressing interest in vacation rentals as an alternative to hotels. Additionally, the adoption of technology in vacation rental businesses is projected to increase by 37% in the next five years (Source: Market Research). These trends underscore the import

The booming rental property management software market is projected to reach $7.6 billion by 2033, growing at a 15% CAGR. This comprehensive analysis explores market size, key drivers, trends, and regional breakdowns, highlighting top players and future growth prospects. Discover the latest insights on cloud-based solutions, SaaS adoption, and mobile app integration in property management.

Discover the booming long-term rental apartment market! This comprehensive analysis reveals key trends, growth drivers, and regional insights from 2019-2033, including data on market size, CAGR, and leading companies like Common, Ollie, and EQR. Learn about investment opportunities in this dynamic sector.

Boost your property management efficiency with the latest insights on Rental Property Management Software. Discover market trends, leading companies like Xotelia and Quicken, and projected growth to 2033. Explore cloud-based solutions, AI-powered features, and regional market shares for informed decision-making.

The United States rental rate for residential real estate market was volumed at USD 1.32 per unit per month in 2024. The industry is expected to grow at a CAGR of 5.00% during the forecast period of 2025-2034 to attain a volume of USD 2.15 per unit per month by 2034.

Our extensive database contains approximately 800,000 active rental property listings from across the United States. Updated daily, this comprehensive collection provides real estate professionals, investors, and property managers with valuable market intelligence and business opportunities. Database Contents

Property Addresses: Complete location data including street address, city, state, ZIP code Listing Dates: Original listing date and most recent update date Availability Status: Currently available, pending, or recently rented properties Geographic Coverage: Properties spanning all 50 states and major metropolitan areas

Applications & Uses

Market Analysis: Track rental pricing trends across different regions and property types Investment Research: Identify high-opportunity markets with favorable rental conditions Lead Generation: Connect with property owners potentially needing management services Competitive Intelligence: Monitor listing volumes, vacancy rates, and market saturation Business Development: Target specific neighborhoods or property categories for expansion

File Format & Delivery

Organized in easy-to-use CSV format for seamless integration with data analysis tools Accessible through secure download portal or API connection Daily updates ensure you're working with the most current market information Custom filtering options available to narrow results by location, date range, or other criteria

Data Quality

Rigorous validation processes to ensure address accuracy Duplicate listing detection and removal Regular verification of active status Standardized format for consistent analysis

Subscription Benefits

Access to historical listing archives for trend analysis Advanced search capabilities to target specific property characteristics Regular market reports summarizing key trends and opportunities Custom data exports tailored to your specific business needs

AK ~ 1,342 listings AL ~ 6,636 listings AR ~ 4,024 listings AZ ~ 25,782 listings CA ~ 102,833 listings CO ~ 14,333 listings CT ~ 10,515 listings DC ~ 1,988 listings DE ~ 1,528 listings FL ~ 152,258 listings GA ~ 28,248 listings HI ~ 3,447 listings IA ~ 4,557 listings ID ~ 3,426 listings IL ~ 42,642 listings IN ~ 8,634 listings KS ~ 3,263 listings KY ~ 5,166 listings LA ~ 11,522 listings MA ~ 53,624 listings MD ~ 12,124 listings ME ~ 1,754 listings MI ~ 12,040 listings MN ~ 7,242 listings MO ~ 10,766 listings MS ~ 2,633 listings MT ~ 1,953 listings NC ~ 22,708 listings ND ~ 1,268 listings NE ~ 1,847 listings NH ~ 2,672 listings NJ ~ 31,286 listings NM ~ 2,084 listings NV ~ 13,111 listings NY ~ 94,790 listings OH ~ 15,843 listings OK ~ 5,676 listings OR ~ 8,086 listings PA ~ 37,701 listings RI ~ 4,345 listings SC ~ 8,018 listings SD ~ 1,018 listings TN ~ 15,983 listings TX ~ 132,620 listings UT ~ 3,798 listings VA ~ 14,087 listings VT ~ 946 listings WA ~ 15,039 listings WI ~ 7,393 listings WV ~ 1,681 listings WY ~ 730 listings

Grand Total ~ 977,010 listings

What is Rental Data?

Rental data encompasses detailed information about residential rental properties, including single-family homes, multifamily units, and large apartment complexes. This data often includes key metrics such as rental prices, occupancy rates, property amenities, and detailed property descriptions. Advanced rental datasets integrate listings directly sourced from property management software systems, ensuring real-time accuracy and eliminating reliance on outdated or scraped information.

Additional Rental Data Details

The rental data is sourced from over 20,000 property managers via direct feeds and property management platforms, covering over 30 percent of the national rental housing market for diverse and broad representation. Real-time updates ensure data remains current, while verified listings enhance accuracy, avoiding errors typical of survey-based or scraped datasets. The dataset includes 14+ million rental units with detailed descriptions, rich photography, and amenities, offering address-level granularity for precise market analysis. Its extensive coverage of small multifamily and single-family rentals sets it apart from competitors focused on premium multifamily properties.

Rental Data Includes:

• Property Types
• Single-Family Rentals
• Small Multi-family Units
• Premium Apartments
• 16,000+ ZIP Codes
• 800+ MSAs
• Pricing Trends
• Lease Terms Amenities

Snapshot img

Residential Real Estate Market Size 2025-2029

The residential real estate market size is valued to increase USD 485.2 billion, at a CAGR of 4.5% from 2024 to 2029. Growing residential sector globally will drive the residential real estate market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 55% growth during the forecast period.
By Mode Of Booking - Sales segment was valued at USD 926.50 billion in 2023
By Type - Apartments and condominiums segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 41.01 billion
Market Future Opportunities: USD 485.20 billion
CAGR : 4.5%
APAC: Largest market in 2023

Market Summary

The market is a dynamic and ever-evolving sector that continues to shape the global economy. With increasing marketing initiatives and the growing residential sector globally, the market presents significant opportunities for growth. However, regulatory uncertainty looms large, posing challenges for stakeholders. According to recent reports, technology adoption in residential real estate has surged, with virtual tours and digital listings becoming increasingly popular. In fact, over 40% of homebuyers in the US prefer virtual property viewings. Core technologies such as artificial intelligence and blockchain are revolutionizing the industry, offering enhanced customer experiences and streamlined processes.
Despite these advancements, regulatory compliance remains a major concern, with varying regulations across regions adding complexity to market operations. The market is a complex and intriguing space, with ongoing activities and evolving patterns shaping its future trajectory.

What will be the Size of the Residential Real Estate Market during the forecast period?

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How is the Residential Real Estate Market Segmented and what are the key trends of market segmentation?

The residential real estate industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Mode Of Booking

  Sales
  Rental or lease


Type

  Apartments and condominiums
  Landed houses and villas


Location

  Urban
  Suburban
  Rural


End-user

  Mid-range housing
  Affordable housing
  Luxury housing


Geography

  North America

    US
    Canada
    Mexico


  Europe

    France
    Germany
    UK


  APAC

    Australia
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Mode Of Booking Insights

The sales segment is estimated to witness significant growth during the forecast period.

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The Sales segment was valued at USD 926.50 billion in 2019 and showed a gradual increase during the forecast period.

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Regional Analysis

APAC is estimated to contribute 55% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

See How Residential Real Estate Market Demand is Rising in APAC Request Free Sample

The market in the Asia Pacific (APAC) region holds a significant share and is projected to lead the global market growth. Factors fueling this expansion include the region's rapid urbanization and increasing consumer spending power. Notably, residential and commercial projects in countries like India and China are experiencing robust development. The residential real estate sector in China plays a pivotal role in the economy and serves as a major growth driver for the market.

With these trends continuing, the APAC the market is poised for continued expansion during the forecast period.

Market Dynamics

Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

In the Residential Real Estate Market, understanding the impact property tax rates home values and effect interest rates mortgage affordability is essential for buyers and investors. Key factors affecting home price appreciation and factors influencing housing affordability shape market trends, while the importance property due diligence process and requirements environmental site assessment ensure informed decisions. Investors benefit from methods calculating rental property roi, process home equity loan application, and benefits real estate portfolio diversification. Tools like property management software efficiency and techniques effective property marketing help tackle challenges managing rental properties. Additionally, strategies successf

Discover the booming global housing rental service market! This comprehensive analysis reveals key trends, growth drivers, and challenges impacting short-term and long-term rentals, along with insights into leading companies and regional variations. Explore market projections to 2033 and uncover lucrative investment opportunities.

This dataset contains detailed information about rental properties across various locations in the UK. The data was collected by scraping Rightmove, a popular real estate platform. Each entry in the dataset includes the property's address, subdistrict code, rental price, deposit amount, letting type, furnish type, council tax details, property type, number of bedrooms and bathrooms, size in square feet, average distance to the nearest train station, and the count of nearest stations.

Researchers and analysts interested in the UK rental market can utilize this dataset to explore rental trends, pricing variations based on location and property type, amenities preferences, and more. The dataset provides a valuable resource for machine learning models, statistical analysis, and market research in the real estate sector.

Metadata: Source: The data was collected by scraping the Rightmove real estate platform, a leading source for property listings in the UK. Date Range: The dataset covers rental property listings available during the scraping period. Geographical Coverage: Primarily focused on various locations across the UK, providing insights into regional rental markets. Data Fields: Address: The location of the rental property. Subdistrict Code: A code representing the subdistrict or area of the property. Rent: The monthly rental price in GBP (£) for the property. Deposit: The deposit amount required for renting the property. Let Type: Indicates whether the property is available for short-term or long-term rental. Furnish Type: Describes the furnishing status of the property (e.g., furnished, unfurnished, or flexible options). Council Tax: Information about the council tax associated with the property. Property Type: Specifies the type of property, such as apartment, flat, maisonette, etc. Bedrooms: The number of bedrooms in the property. Bathrooms: The number of bathrooms in the property. Size: The size of the property in square feet (sq ft). Average Distance to Nearest Station: The average distance (in miles) to the nearest train station from the property. Nearest Station Count: The count of nearest train stations within a certain distance from the property. Data Quality: The data may contain missing values or "Ask agent" placeholders, which require direct inquiry with agents or landlords for specific information. Potential Uses: The dataset can be used for market analysis, rental price prediction models, understanding property preferences, and exploring the impact of location and amenities on rental properties in the UK.

Vital statistics related to Ottawa’s rental housing inventory, including cost of rental housing of different sizes and locations.

Accuracy: No know issues. For a detailed description of the methodology and sources used to compile this data set, please refer to the Rental Market Analysis. Update Frequency: One-time dataset

Contact: Emergency and Protective Services – Public Policy Development Branch

This dataset provides comprehensive information about rental house prices across various locations in India. It includes details such as house type, size, location, city, latitude, longitude, price, currency, number of bathrooms, number of balconies, negotiability of price, price per square foot, verification date, description of the property, security deposit, and status of furnishing (furnished, unfurnished, semi-furnished).

Note: This is Recently scraped data of April 2024.

Dataset Glossary (Column-Wise)

• House Type: Type of house (e.g., apartment, villa, duplex).
• House Size: Size of the house in square feet or square meters.
• Location: Specific area or neighborhood where the property is located.
• City: City in India where the property is situated.
• Latitude: Geographic latitude coordinates of the property location.
• Longitude: Geographic longitude coordinates of the property location.
• Price: Rental price of the house.
• Currency: Currency in which the price is denoted (e.g., INR - Indian Rupees).
• Number of Bathrooms: Total number of bathrooms in the house.
• Number of Balconies: Total number of balconies in the house.
• Negotiability: Indicates whether the price is negotiable (Yes/No).
• Price per Square Foot: Price of the house per square foot.
• Verification Date: Date when the rental information was verified.
• Description: Additional description or details about the property.
• Security Deposit: Amount of security deposit required for renting the property.
• Status: Indicates the furnishing status of the property (furnished, unfurnished, semi-furnished).

Usage

This dataset aims to provide valuable insights into the rental housing market in India, enabling analysis of rental trends, comparison of prices across different locations and property types, and understanding the impact of various factors on rental prices. Researchers, analysts, and policymakers can utilize this dataset for a wide range of applications, including real estate market analysis, urban planning, and economic research.

Acknowledgement

This Dataset is created from https://www.makaan.com/. If you want to learn more, you can visit the Website.

Cover Photo by: Playground.ai

Discover the booming real estate & property management services market! This comprehensive analysis reveals key trends, growth drivers, and regional insights from 2019-2033, featuring top players like Zillow and CBRE. Learn about market segmentation, CAGR, and future projections for investment opportunities.