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

Displacement risk indicator classifying census tracts according to apartment rent prices in census tracts. We classify apartment rent along two dimensions: The average rents within the census tract for the specified year, balancing between nominal rental price and rental price per square foot.The change in average rent price (again balanced between nominal rent price and price per square foot) from the previous year.Note: Average rent calculations include market-rate and mixed-income multifamily apartment properties with 5 or more rental units in Seattle, excluding special types like student, senior, corporate or military housing. Source: Data from CoStar Group, www.costar.com, prepared by City of Seattle, Office of Planning and Community Development

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.

The apartment rental market in the United States has been stagnating since 2019, after increasing year-on-year for several years. In 2022, the estimated market size of apartment rental was ***** billion U.S. dollars, down from ***** billion U.S. dollars in 2021. In 2023, the market is forecast to further contract by one percent, reaching ***** billion U.S. dollars.

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

As of January 2025, the rent for a two-bedroom apartment in Hawaii was about 120 U.S. dollars higher than in California. The states of Hawaii and California ranked as the most expensive within the United States for apartment renters. Conversely, an apartment in Arkansas was almost three times more affordable than one in Hawaii.In 2025, the average monthly rent in the U.S. declined slightly. Nevertheless, in rents increased in most states, with West Virginia registering the highest growth.

VITAL SIGNS INDICATOR List Rents (EC9)

FULL MEASURE NAME List Rents

LAST UPDATED October 2016

DESCRIPTION List rent refers to the advertised rents for available rental housing and serves as a measure of housing costs for new households moving into a neighborhood, city, county or region.

DATA SOURCE real Answers (1994 – 2015) no link

Zillow Metro Median Listing Price All Homes (2010-2016) http://www.zillow.com/research/data/

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) List rents data reflects median rent prices advertised for available apartments rather than median rent payments; more information is available in the indicator definition above. Regional and local geographies rely on data collected by real Answers, a research organization and database publisher specializing in the multifamily housing market. real Answers focuses on collecting longitudinal data for individual rental properties through quarterly surveys. For the Bay Area, their database is comprised of properties with 40 to 3,000+ housing units. Median list prices most likely have an upward bias due to the exclusion of smaller properties. The bias may be most extreme in geographies where large rental properties represent a small portion of the overall rental market. A map of the individual properties surveyed is included in the Local Focus section.

Individual properties surveyed provided lower- and upper-bound ranges for the various types of housing available (studio, 1 bedroom, 2 bedroom, etc.). Median lower- and upper-bound prices are determined across all housing types for the regional and county geographies. The median list price represented in Vital Signs is the average of the median lower- and upper-bound prices for the region and counties. Median upper-bound prices are determined across all housing types for the city geographies. The median list price represented in Vital Signs is the median upper-bound price for cities. For simplicity, only the mean list rent is displayed for the individual properties. The metro areas geography rely upon Zillow data, which is the median price for rentals listed through www.zillow.com during the month. Like the real Answers data, Zillow's median list prices most likely have an upward bias since small properties are underrepresented in Zillow's listings. The metro area data for the Bay Area cannot be compared to the regional Bay Area data. Due to afore mentioned data limitations, this data is suitable for analyzing the change in list rents over time but not necessarily comparisons of absolute list rents. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

Due to the limited number of rental properties surveyed, city-level data is unavailable for Atherton, Belvedere, Brisbane, Calistoga, Clayton, Cloverdale, Cotati, Fairfax, Half Moon Bay, Healdsburg, Hillsborough, Los Altos Hills, Monte Sereno, Moranga, Oakley, Orinda, Portola Valley, Rio Vista, Ross, San Anselmo, San Carlos, Saratoga, Sebastopol, Windsor, Woodside, and Yountville.

Inflation-adjusted data are presented to illustrate how rents have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself. Percent change in inflation-adjusted median is calculated with respect to the median price from the fourth quarter or December of the base year.

In 2024, Market Research Intellect valued the Rental Housing Market Report at USD 1.2 trillion, with expectations to reach USD 1.9 trillion by 2033 at a CAGR of 6.5%.Understand drivers of market demand, strategic innovations, and the role of top competitors.

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

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

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.

The size of the Rental Housing market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX% during the forecast period.

Build-to-Rent Housing Market Outlook

As per our latest research, the global Build-to-Rent (BTR) housing market size reached USD 74.3 billion in 2024, reflecting a robust expansion driven by rising demand for professionally managed rental communities. The market is projected to grow at a CAGR of 10.1% from 2025 to 2033, reaching an estimated USD 192.2 billion by 2033. This impressive growth trajectory is primarily fueled by evolving lifestyle preferences, increasing urbanization, and a shift in housing affordability, which are collectively redefining the residential real estate landscape worldwide.

One of the most significant growth factors for the Build-to-Rent housing market is the changing demographic profile of urban populations. Young professionals and millennials increasingly prioritize flexibility and convenience over homeownership, leading to a surge in demand for rental properties that offer modern amenities and community-centric living. The BTR model, with its professionally managed services, maintenance support, and enhanced communal facilities, appeals strongly to this demographic. Additionally, the growing number of digital nomads and remote workers is further amplifying the need for adaptable, high-quality rental housing, particularly in metropolitan areas and emerging urban centers.

Another major driver for the Build-to-Rent housing market is the ongoing affordability crisis in many global cities. Escalating property prices and stringent mortgage requirements have made homeownership unattainable for a significant portion of the population, especially in North America and Europe. As a result, institutional investors and real estate developers are capitalizing on this opportunity by expanding their BTR portfolios. The stable, long-term rental income streams offered by BTR assets are particularly attractive to pension funds, insurance companies, and private equity firms seeking diversification and resilience in their investment portfolios.

Technological advancements and innovation in construction methods are also catalyzing the growth of the Build-to-Rent housing market. The adoption of modular and prefabricated construction techniques is enabling developers to accelerate project timelines, reduce costs, and improve sustainability outcomes. These methods are particularly suited to the BTR model, where speed to market and operational efficiency are critical. Furthermore, the integration of smart home technologies and digital management platforms is enhancing tenant experiences and operational transparency, thereby increasing the appeal of BTR properties to both residents and investors.

Regionally, North America and Europe continue to dominate the Build-to-Rent housing market, accounting for a combined market share of over 65% in 2024. However, Asia Pacific is emerging as a high-growth region, driven by rapid urbanization, rising middle-class populations, and supportive government policies. Latin America and the Middle East & Africa are also witnessing growing interest in the BTR model, particularly in gateway cities with expanding expatriate communities and young workforces. The regional outlook for the BTR market remains highly positive, underpinned by favorable demographic trends and increasing investor appetite for income-generating real estate assets.

Property Type Analysis

The Build-to-Rent housing market is segmented by property type into single-family homes, multi-family apartments, townhouses, and others. Among these, multi-family apartments currently hold the largest market share, accounting for over 55% of the global BTR inventory in 2024. The preference for multi-family developments is rooted in their efficient land use, scalability, and ability to offer a wide array of amenities such as gyms, co-working spaces, and communal lounges. These features are highly attractive to young professionals and urban dwellers seeking community engagement and convenience. Furthermore, mul

The UK residential rental market is poised for significant growth, with forecasts indicating a cumulative increase of nearly **** percent by 2029. This surge is expected to be front-loaded, with a robust *****percent rise anticipated in 2025. Rental growth has accelerated notably since 2021, with August 2024 experiencing a decade-high annual percentage growth. The trend reflects the complex interplay between housing affordability, mortgage rates, and supply of rental homes, as the UK housing market navigates a period of transition.

The global Housing Rental Service market is poised for significant expansion, projected to reach approximately USD 1,500 million by 2025, with an anticipated Compound Annual Growth Rate (CAGR) of 12% through 2033. This robust growth is fueled by a confluence of evolving lifestyle preferences and economic realities. Increasing urbanization continues to drive demand for rental accommodations, particularly in major metropolitan areas. Furthermore, the growing popularity of short-term rentals, facilitated by digital platforms, caters to the burgeoning tourism and business travel sectors. Concurrently, long-term leases remain a cornerstone of the market, offering stability for both renters and property owners. Key drivers include the increasing cost of homeownership, particularly for younger demographics, and a greater emphasis on flexibility and mobility in career choices. The market is also benefiting from technological advancements that streamline the rental process, from property discovery and application to lease management and payment. The competitive landscape of the Housing Rental Service market is characterized by a dynamic mix of established property management firms and innovative digital platforms. Companies like Invitation Homes, Vacasa, and HousingAnywhere are at the forefront, leveraging technology to enhance user experience and operational efficiency. The market is segmented by application into Personal and Commercial, with Personal rentals constituting the larger share due to widespread individual housing needs. Within types, both Short-term Rental and Long-term Lease segments are experiencing healthy growth. Geographically, North America is expected to maintain a dominant market share, driven by strong economies and established rental markets in the United States and Canada. However, Asia Pacific presents a substantial growth opportunity, with rapidly expanding economies and increasing urbanization in countries like China and India. Emerging trends such as co-living spaces and the integration of smart home technologies into rental properties are further shaping the market's trajectory. This report delves into the dynamic and rapidly evolving global housing rental service market. Analyzing data from the historical period of 2019-2024, with a base year of 2025 and a forecast period extending to 2033, this study provides invaluable insights for stakeholders seeking to navigate this complex landscape. The report estimates the market size in millions of units, offering a clear quantitative perspective on growth and demand.

The global housing rental service market is experiencing robust growth, driven by factors such as increasing urbanization, changing lifestyle preferences, and the rise of the gig economy. The market, valued at approximately $2 trillion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033. This significant expansion is fueled by several key trends, including the growing popularity of short-term rentals facilitated by platforms like Airbnb and VRBO, the increasing demand for flexible lease options catering to transient populations, and the emergence of innovative property management technologies enhancing efficiency and tenant experience. The market segmentation reveals a significant share held by the long-term lease segment, driven by stable rental income and predictable cash flows, while the short-term rental segment is witnessing rapid growth, propelled by the tourism and business travel sectors. Furthermore, the commercial segment is expanding, reflecting the growing need for flexible workspace solutions. Geographic distribution shows strong performance in North America and Europe, with emerging markets in Asia-Pacific presenting significant growth opportunities. However, the market faces certain restraints, including fluctuating interest rates impacting mortgage costs, potential regulatory changes affecting short-term rentals, and the challenges of maintaining consistent property standards across diverse portfolios. Despite these challenges, the long-term outlook for the housing rental service market remains positive, driven by continuous technological advancements, evolving consumer preferences, and the persistent demand for housing in rapidly urbanizing regions. Key players in the market, including Invitation Homes, Blueground, and Vacasa, are actively innovating to meet these changing demands and capitalize on growth opportunities within different segments and geographic regions. Strategic acquisitions, technological integrations, and expansion into new markets are crucial strategies for sustained success within this dynamic sector.

Discover the booming global housing rental service market! This in-depth analysis reveals a $1.5 trillion market in 2025, growing at a 7% CAGR through 2033. Explore key trends, drivers, restraints, and leading companies shaping this dynamic sector.

The global House Rental Platforms market is poised for significant expansion, projected to reach an estimated value of $34,500 million by 2025, with a robust Compound Annual Growth Rate (CAGR) of 12.5% expected to propel it to $87,000 million by 2033. This impressive growth is primarily fueled by the increasing demand for flexible and convenient housing solutions, particularly among younger generations like millennials and Gen Z. The platform's ability to streamline the rental process, from property discovery and virtual tours to lease agreements and payment management, addresses key pain points for both renters and landlords. The burgeoning short-term rental market, driven by tourism and the rise of the gig economy, alongside the steady demand for long-term apartment and house rentals, are significant contributors to this upward trajectory. Technology advancements, including AI-powered search filters, virtual reality property viewings, and secure online payment systems, are further enhancing user experience and driving platform adoption. Key drivers for this market's ascent include urbanization, a growing preference for renting over homeownership, and the increasing adoption of digital tools for real estate transactions. While the market presents immense opportunities, certain restraints such as stringent regulatory frameworks in some regions, potential cybersecurity risks, and the intense competition among established and emerging players could pose challenges. However, the continuous innovation in platform features, the expansion into emerging markets, and strategic partnerships are expected to mitigate these concerns. The market encompasses a diverse range of property types, with apartments and houses dominating the landscape, catering to both long-term lease and short-term rental applications. Leading companies like HousingAnywhere, Rentberry, Spotahome, and Airbnb are at the forefront of shaping this dynamic industry, continuously introducing features to meet evolving consumer needs and solidify their market positions. This report provides a comprehensive analysis of the global house rental platform market, offering insights into its structure, dynamics, and future trajectory. We delve into the competitive landscape, product offerings, regional trends, and the key drivers and challenges shaping this rapidly evolving industry. The report leverages estimated user and transaction data in the millions to paint a clear picture of market scale and player influence.

Explore the dynamic Real Estate Rental market forecast (2025-2033) with key insights, drivers, and trends. Discover market size, CAGR, and regional growth opportunities for residential and non-residential rentals.