100+ datasets found
  1. d

    US National Rental Data | 14M+ Records in 16,000+ ZIP Codes | Rental Data...

    • datarade.ai
    .csv, .xls, .txt
    Updated Oct 21, 2024
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    The Warren Group (2024). US National Rental Data | 14M+ Records in 16,000+ ZIP Codes | Rental Data Lease Terms & Pricing Trends [Dataset]. https://datarade.ai/data-products/us-national-rental-data-14m-records-in-16-000-zip-codes-the-warren-group
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    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Oct 21, 2024
    Dataset authored and provided by
    The Warren Group
    Area covered
    United States of America
    Description

    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directly sourced from property management software systems, ensuring real-time accuracy and eliminating reliance on outdated or scraped information.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
  2. Share of renters in the U.S. 2023, by structure type

    • statista.com
    • tokrwards.com
    • +1more
    Updated Jul 11, 2025
    + more versions
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    Statista (2025). Share of renters in the U.S. 2023, by structure type [Dataset]. https://www.statista.com/statistics/743422/share-of-residents-who-are-renting-usa-by-structure-type/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    Single-family houses and apartments in large residential buildings with **** or more units were the most popular structure type for American renters in 2023. About ** percent of the population who lived in rental accommodation occupied an apartment in a multifamily building. The share of households renting such apartments was even higher, at about ** percent. In 2023, the average asking rent for an unfurnished apartment in the U.S. declined slightly, after surging for three years in a row.

  3. Change in single-family home rents in selected housing markets U.S....

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Change in single-family home rents in selected housing markets U.S. 2016-2017 [Dataset]. https://www.statista.com/statistics/742718/change-in-single-family-home-rents-in-selected-housing-markets-usa/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2016 - Aug 2017
    Area covered
    United States
    Description

    This statistic shows the change in rental rates for single-family homes in selected housing markets in the United States in *********** and ***********. The rents for single-family homes in Orlando, Florida increased by *** percent between *********** and ***********.

  4. Property Owners and Managers Survey - Single Family Microdata

    • catalog.data.gov
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). Property Owners and Managers Survey - Single Family Microdata [Dataset]. https://catalog.data.gov/dataset/property-owners-and-managers-survey-single-family-microdata
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    The Property Owners and Managers Survey (POMS) wasa one-time survey designed to learn more about rental housing and the providers of rental housing. The purpose of the survey was to gain a better understanding of the property owners and managers on whom the nation depends to provide affordable rental housing, and of what motivates and shapes their rental and maintenance policies. This dataset contains the single family macrodata.

  5. D

    Single-Family Rental Finance Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Single-Family Rental Finance Market Research Report 2033 [Dataset]. https://dataintelo.com/report/single-family-rental-finance-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Single-Family Rental Finance Market Outlook



    According to our latest research, the global single-family rental finance market size reached USD 275.4 billion in 2024, reflecting a robust expansion in investment activity and financing solutions within the sector. The market is projected to grow at a CAGR of 9.8% from 2025 to 2033, reaching a forecasted value of USD 647.6 billion by the end of 2033. This remarkable growth trajectory is underpinned by increasing demand for rental housing, favorable demographic trends, and the ongoing institutionalization of the single-family rental (SFR) sector.




    One of the primary growth factors driving the single-family rental finance market is the evolving demographic landscape, particularly in developed economies. Millennials and Generation Z, who are increasingly entering the housing market, exhibit a strong preference for renting over homeownership, due to factors such as affordability constraints, lifestyle flexibility, and delayed family formation. This shift has catalyzed a surge in demand for single-family rental properties, prompting both individual and institutional investors to seek diversified financing options. The proliferation of innovative loan products and streamlined lending platforms has further facilitated access to capital, empowering a broader spectrum of investors to participate in the SFR market and fueling overall market expansion.




    Another significant driver is the growing participation of institutional investors and Real Estate Investment Trusts (REITs) in the single-family rental market. Traditionally dominated by individual investors, the sector has witnessed a marked influx of large-scale capital since the aftermath of the 2008 financial crisis. Institutional players are leveraging economies of scale, advanced property management technologies, and sophisticated financing structures to acquire and manage extensive portfolios of single-family homes. Their presence has not only injected liquidity into the market but has also spurred the development of tailored financing solutions, such as portfolio loans and securitization, which are designed to meet the unique needs of large-scale investors. This institutionalization trend is expected to continue, further propelling the growth of the single-family rental finance market.




    Technological advancement and regulatory support have also played pivotal roles in shaping the growth trajectory of the single-family rental finance market. The advent of digital lending platforms, big data analytics, and automated underwriting processes has revolutionized the mortgage and property financing landscape, making it more efficient, transparent, and accessible. Additionally, government-backed loan programs and regulatory incentives aimed at expanding housing affordability have contributed to a more favorable financing environment for both investors and tenants. These factors, combined with a low interest rate environment in recent years, have collectively enhanced the attractiveness of single-family rental investments, stimulating further demand for specialized financing products.




    From a regional perspective, North America continues to dominate the global single-family rental finance market, accounting for the largest share of investment activity and financing volume. The United States, in particular, has emerged as the epicenter of institutional SFR investment, driven by robust demand in suburban and Sun Belt markets. Europe and Asia Pacific are also witnessing increased activity, with investors seeking diversification and exposure to stable rental income streams. While regional dynamics vary, the underlying growth drivers—demographic trends, investor appetite, and financing innovation—remain consistent across major markets, indicating a broadly positive outlook for the global single-family rental finance landscape.



    Loan Type Analysis



    The single-family rental finance market is segmented by loan type into conventional loans, government-backed loans, portfolio loans, private loans, and others. Conventional loans remain the most widely utilized financing option, particularly among individual investors and smaller-scale landlords. These loans, typically offered by banks and credit unions, provide attractive interest rates and flexible terms for borrowers with strong credit profiles. The stability and predictability of conventional loans have made them a preferred choice for long-term investors seeking to build and manage

  6. Data from: Rental Housing Finance Survey

    • s.cnmilf.com
    • catalog.data.gov
    • +1more
    Updated Mar 1, 2024
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    U.S. Department of Housing and Urban Development (2024). Rental Housing Finance Survey [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/rental-housing-finance-survey
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    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    The purpose of the RHFS is to provide current and continuous measure of the financial health and property characteristics of single-family and multifamily rental housing properties in the United States. The survey provides information on the financing of single-family and multifamily rental housing properties with emphasis on new originations for purchase, refinancing, and loan terms associated with these originations. In addition, the survey includes information on property characteristics, such as number of units, amenities available, rental income and expenditure information. This survey was conducted in 2012 and will be conducted in 2015.

  7. F

    Rental Vacancy Rate in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 28, 2025
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    (2025). Rental Vacancy Rate in the United States [Dataset]. https://fred.stlouisfed.org/series/RRVRUSQ156N
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    jsonAvailable download formats
    Dataset updated
    Jul 28, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Rental Vacancy Rate in the United States (RRVRUSQ156N) from Q1 1956 to Q2 2025 about vacancy, rent, rate, and USA.

  8. D

    Single‑Family Rental Analytics Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Single‑Family Rental Analytics Market Research Report 2033 [Dataset]. https://dataintelo.com/report/singlefamily-rental-analytics-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Single‑Family Rental Analytics Market Outlook



    According to our latest research, the Single-Family Rental Analytics market size reached USD 2.16 billion in 2024, with a strong growth trajectory driven by technological advancements and institutional investments in the real estate sector. The market is expected to expand at a CAGR of 13.7% from 2025 to 2033, reaching a projected value of USD 6.68 billion by 2033. This robust growth is primarily attributed to the increasing adoption of data-driven decision-making tools by property managers, investors, and real estate agencies, enabling them to optimize portfolio performance, mitigate risks, and enhance tenant experiences.




    One of the primary growth drivers for the Single-Family Rental Analytics market is the rapid digital transformation in real estate operations. The proliferation of big data, artificial intelligence, and machine learning technologies has revolutionized how property managers and investors analyze and manage rental properties. These advanced analytics tools provide actionable insights into market trends, tenant behaviors, and asset performance, allowing stakeholders to make informed decisions that enhance profitability. Additionally, the rising demand for transparency and efficiency in property management processes is pushing organizations to invest in sophisticated analytics solutions that streamline operations and improve overall asset value.




    Another significant factor fueling market growth is the increasing participation of institutional investors in the single-family rental sector. Traditionally dominated by individual landlords, the market has witnessed a surge in large-scale investments from private equity firms, real estate investment trusts (REITs), and pension funds. These institutional players require comprehensive analytics platforms to manage extensive property portfolios, assess risks, and forecast market movements. As a result, there is a heightened demand for analytics solutions that offer portfolio management, asset valuation, and market forecasting capabilities, supporting the scalability and complexity of institutional operations.




    The evolving regulatory landscape and shifting tenant expectations are also contributing to the market's expansion. Regulatory compliance requirements, such as fair housing laws and data privacy standards, necessitate the use of analytics tools that ensure adherence while minimizing legal risks. Furthermore, tenants are increasingly seeking personalized experiences, timely communication, and responsive maintenance services. Analytics platforms enable property managers to anticipate tenant needs, improve retention rates, and enhance overall satisfaction. This alignment of regulatory compliance and tenant-centric strategies underscores the critical role of analytics in the modern single-family rental ecosystem.




    From a regional perspective, North America continues to dominate the Single-Family Rental Analytics market, accounting for over 42% of global revenue in 2024. The region's mature real estate infrastructure, high adoption of digital technologies, and concentration of institutional investors create a fertile environment for analytics platform providers. Europe and Asia Pacific are also emerging as significant markets, driven by urbanization, rising rental demand, and increased awareness of the benefits of data-driven property management. Latin America and the Middle East & Africa, while still nascent, are expected to witness accelerated growth due to ongoing digitalization and evolving real estate investment landscapes.



    Component Analysis



    The Component segment of the Single-Family Rental Analytics market is bifurcated into software and services. Software solutions form the backbone of analytics platforms, offering a suite of functionalities ranging from data aggregation, visualization, and predictive modeling to real-time reporting. These platforms are designed to integrate seamlessly with property management systems, financial tools, and external data sources, providing a unified view of property and market performance. The demand for advanced software is being propelled by the need for automation, scalability, and customization, particularly among large property managers and institutional investors who handle diverse portfolios across multiple geographies.




    On

  9. F

    New Privately-Owned Housing Units Started: Single-Family Units

    • fred.stlouisfed.org
    json
    Updated Sep 17, 2025
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    (2025). New Privately-Owned Housing Units Started: Single-Family Units [Dataset]. https://fred.stlouisfed.org/series/HOUST1F
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    jsonAvailable download formats
    Dataset updated
    Sep 17, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for New Privately-Owned Housing Units Started: Single-Family Units (HOUST1F) from Jan 1959 to Aug 2025 about housing starts, privately owned, 1-unit structures, family, housing, and USA.

  10. y

    US Rental Vacancy Rate

    • ycharts.com
    html
    Updated Jul 28, 2025
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    Census Bureau (2025). US Rental Vacancy Rate [Dataset]. https://ycharts.com/indicators/us_rental_vacancy_rate
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    htmlAvailable download formats
    Dataset updated
    Jul 28, 2025
    Dataset provided by
    YCharts
    Authors
    Census Bureau
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Mar 31, 1956 - Jun 30, 2025
    Area covered
    United States
    Variables measured
    US Rental Vacancy Rate
    Description

    View quarterly updates and historical trends for US Rental Vacancy Rate. from United States. Source: Census Bureau. Track economic data with YCharts analy…

  11. F

    Zillow Home Value Index (ZHVI) for All Homes Including Single-Family...

    • fred.stlouisfed.org
    json
    Updated Aug 26, 2025
    + more versions
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    (2025). Zillow Home Value Index (ZHVI) for All Homes Including Single-Family Residences, Condos, and CO-OPs in the United States of America [Dataset]. https://fred.stlouisfed.org/series/USAUCSFRCONDOSMSAMID
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    jsonAvailable download formats
    Dataset updated
    Aug 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Zillow Home Value Index (ZHVI) for All Homes Including Single-Family Residences, Condos, and CO-OPs in the United States of America (USAUCSFRCONDOSMSAMID) from Jan 2000 to Jul 2025 about 1-unit structures, family, residential, housing, indexes, and USA.

  12. Data from: Rental Housing Finance Survey

    • catalog.data.gov
    Updated Sep 30, 2025
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    U.S. Census Bureau (2025). Rental Housing Finance Survey [Dataset]. https://catalog.data.gov/dataset/rental-housing-finance-survey-0c8ec
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    Dataset updated
    Sep 30, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The Rental Housing Finance Survey provides a current and continuous measure of financial, mortgage, and property characteristics of rental housing properties in the United States. The survey focuses on the financing of rental housing properties, with emphasis on new mortgages, refinanced mortgages, or similar devices such as deeds of trust or land contracts, and the characteristics of debt originations. The 2018 RHFS included single-family residential and multifamily residential properties with at least one housing unit intended for rent. Data collection was conducted from June 2018 through November 2018.

  13. O

    Online Detached House Rental Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 12, 2025
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    Data Insights Market (2025). Online Detached House Rental Report [Dataset]. https://www.datainsightsmarket.com/reports/online-detached-house-rental-1940002
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 12, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The online detached house rental market is experiencing robust growth, driven by increasing urbanization, the rise of remote work, and a preference for flexible living arrangements. The market, valued at approximately $150 billion in 2025, is projected to expand at a compound annual growth rate (CAGR) of 8% through 2033. This growth is fueled by several key factors. Firstly, the increasing popularity of short-term rentals through platforms like Airbnb and VRBO caters to both tourists and business travelers seeking alternatives to hotels. Simultaneously, the long-term rental segment is thriving, driven by demand from young professionals, families, and retirees seeking flexible housing options. The enterprise segment, involving corporate rentals for employees or project-based housing, is also contributing significantly to market expansion. Technological advancements, such as improved online booking systems and virtual property tours, are further streamlining the rental process and increasing market accessibility. While rising interest rates and potential economic slowdowns could pose challenges, the fundamental drivers of demand remain strong. Geographic distribution shows strong concentration in North America, particularly the United States, with significant growth potential in rapidly urbanizing regions of Asia-Pacific and Europe. Major players like Invitation Homes, American Homes 4 Rent, and Blackstone's Home Partners are consolidating market share through acquisitions and technological investments, shaping the competitive landscape. The segmentation of the market into short-term and long-term rentals reflects distinct consumer needs and preferences. The short-term segment benefits from tourism and business travel, while the long-term segment responds to the demand for flexible and convenient housing solutions. Regional variations in market growth are expected, with North America retaining a dominant position due to established infrastructure and high demand. However, emerging markets in Asia and other regions are projected to experience significant growth as living standards rise and online rental platforms become more accessible. Regulatory changes related to short-term rentals and evolving consumer preferences for sustainable and technologically advanced rental options will continue to shape the market's trajectory in the coming years. The ongoing competition among established players and the emergence of new entrants are likely to drive innovation and further enhance the consumer experience.

  14. Apartment Rental in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 13, 2025
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    IBISWorld (2025). Apartment Rental in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/apartment-rental-industry/
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    Dataset updated
    Aug 13, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    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.

  15. F

    Housing Inventory Estimate: Vacant Housing Units for Rent in the United...

    • fred.stlouisfed.org
    json
    Updated Jul 28, 2025
    + more versions
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    (2025). Housing Inventory Estimate: Vacant Housing Units for Rent in the United States [Dataset]. https://fred.stlouisfed.org/series/ERENTUSQ176N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 28, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Housing Inventory Estimate: Vacant Housing Units for Rent in the United States (ERENTUSQ176N) from Q2 2000 to Q2 2025 about vacancy, inventories, rent, housing, and USA.

  16. F

    Home, Apartment, Rooming House, and Other Residential Space Rental and...

    • fred.stlouisfed.org
    json
    Updated Jan 31, 2024
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    (2024). Home, Apartment, Rooming House, and Other Residential Space Rental and Leasing for Lessors of Real Estate, All Establishments, Employer Firms [Dataset]. https://fred.stlouisfed.org/series/LOREHARHAOR45311
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 31, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Home, Apartment, Rooming House, and Other Residential Space Rental and Leasing for Lessors of Real Estate, All Establishments, Employer Firms (LOREHARHAOR45311) from 2015 to 2022 about apartments, lessors, employer firms, leases, establishments, real estate, rent, residential, housing, and USA.

  17. House Rent Prediction Dataset

    • kaggle.com
    Updated Aug 20, 2022
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    Sourav Banerjee (2022). House Rent Prediction Dataset [Dataset]. https://www.kaggle.com/datasets/iamsouravbanerjee/house-rent-prediction-dataset/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 20, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sourav Banerjee
    Description

    Context

    The spectrum of housing options in India is incredibly diverse, spanning from the opulent palaces once inhabited by maharajas of yore, to the contemporary high-rise apartment complexes in bustling metropolitan areas, and even to the humble abodes in remote villages, consisting of modest huts. This wide-ranging tapestry of residential choices reflects the significant expansion witnessed in India's housing sector, which has paralleled the upward trajectory of income levels in the country. According to the findings of the Human Rights Measurement Initiative, India currently achieves 60.9% of what is theoretically attainable, considering its current income levels, in ensuring the fundamental right to housing for its citizens. In the realm of housing arrangements, renting, known interchangeably as hiring or letting, constitutes an agreement wherein compensation is provided for the temporary utilization of a resource, service, or property owned by another party. Within this arrangement, a gross lease is one where the tenant is obligated to pay a fixed rental amount, and the landlord assumes responsibility for covering all ongoing property-related expenses. The concept of renting also aligns with the principles of the sharing economy, as it fosters the utilization of assets and resources among individuals or entities, promoting efficiency and access to housing solutions for a broad spectrum of individuals.

    Content

    Within this dataset, you will find a comprehensive collection of data pertaining to nearly 4700+ available residential properties, encompassing houses, apartments, and flats offered for rent. This dataset is rich with various attributes, including the number of bedrooms (BHK), rental rates, property size, number of floors, area type, locality, city, furnishing status, tenant preferences, bathroom count, and contact information for the respective point of contact.

    Dataset Glossary (Column-Wise)

    • BHK: Number of Bedrooms, Hall, Kitchen.
    • Rent: Rent of the Houses/Apartments/Flats.
    • Size: Size of the Houses/Apartments/Flats in Square Feet.
    • Floor: Houses/Apartments/Flats situated in which Floor and Total Number of Floors (Example: Ground out of 2, 3 out of 5, etc.)
    • Area Type: Size of the Houses/Apartments/Flats calculated on either Super Area or Carpet Area or Build Area.
    • Area Locality: Locality of the Houses/Apartments/Flats.
    • City: City where the Houses/Apartments/Flats are Located.
    • Furnishing Status: Furnishing Status of the Houses/Apartments/Flats, either it is Furnished or Semi-Furnished or Unfurnished.
    • Tenant Preferred: Type of Tenant Preferred by the Owner or Agent.
    • Bathroom: Number of Bathrooms.
    • Point of Contact: Whom should you contact for more information regarding the Houses/Apartments/Flats.

    Structure of the Dataset

    https://i.imgur.com/KbU8rxD.png" alt="">

    Acknowledgement

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

    Cover Photo by: Alexander Andrews on Unsplash

  18. a

    HOU - Apartment Multiplex Vacancy Rates

    • crq-fnsb.opendata.arcgis.com
    Updated Dec 2, 2022
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    Fairbanks North Star Borough (2022). HOU - Apartment Multiplex Vacancy Rates [Dataset]. https://crq-fnsb.opendata.arcgis.com/datasets/hou-apartment-multiplex-vacancy-rates
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    Dataset updated
    Dec 2, 2022
    Dataset authored and provided by
    Fairbanks North Star Borough
    Description

    SOURCEFNSB Community Research Center Rental Survey, 1995 - 2019.FNSB Community Planning Rental Survey, 2020 -NOTEVacancy rates are based on a sample of 3,000 to 4,000 rental units and include data for apartments, duplexes, tri-plexes and larger multi-plex rental properties. They do not include single-family houses, mobile homes or cabins.Possible influences that could affect the vacancy rate include military deployment, housing additions on military bases and population shifts (moving / migration).Changes in seasonal apartment availability may also factor into the Fall and Winter figures.Starting March 2020 data could show fluctuations due to the COVID-19 pandemic, State of Alaska mandates, shut downs & supply chain interruptions.Data is subject to revision.

  19. H

    House Rental Platforms Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Aug 7, 2025
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    Data Insights Market (2025). House Rental Platforms Report [Dataset]. https://www.datainsightsmarket.com/reports/house-rental-platforms-1443514
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Aug 7, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global house rental platform market is experiencing robust growth, driven by several key factors. Increased urbanization, a rise in global mobility (both for work and leisure), and the growing preference for flexible living arrangements are fueling demand for convenient and reliable online rental solutions. Technological advancements, including improved mobile applications and sophisticated search functionalities, are enhancing user experience and driving market penetration. The market is segmented by various factors, including rental type (short-term vs. long-term), property type (apartments, houses, etc.), and geographic region. While established players like Airbnb dominate the short-term rental segment, a multitude of platforms cater to long-term rentals, each vying for market share through innovative features and targeted marketing strategies. Competition is intense, with companies focusing on differentiation through unique value propositions, such as specialized services for students, expats, or corporate relocation. The market's growth is also influenced by regulatory changes related to short-term rentals in various cities and countries, impacting both business models and user behavior. We estimate the market size in 2025 to be $15 billion, based on reasonable extrapolations considering the mentioned players and market dynamics. This is expected to demonstrate a healthy Compound Annual Growth Rate (CAGR). Looking ahead, the house rental platform market is poised for continued expansion. The integration of advanced technologies, such as artificial intelligence (AI) for property matching and fraud detection, will improve efficiency and trust. Furthermore, the increasing adoption of subscription-based models and bundled services, such as property management and insurance, offers opportunities for value-added revenue streams. However, challenges remain, including the need to address concerns about security and safety for both renters and landlords. Maintaining data privacy and adhering to evolving regulatory frameworks in various jurisdictions will be critical for sustained growth. The long-term outlook for the market is positive, with a projected CAGR of approximately 12% from 2025 to 2033, driven by ongoing technological innovation and the evolving needs of the global rental market.

  20. m

    American Homes 4 Rent - Total-Other-Income-Expense-Net

    • macro-rankings.com
    csv, excel
    Updated Jul 24, 2025
    + more versions
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    macro-rankings (2025). American Homes 4 Rent - Total-Other-Income-Expense-Net [Dataset]. https://www.macro-rankings.com/markets/stocks/amh-nyse/income-statement/total-other-income-expense-net
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    excel, csvAvailable download formats
    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    macro-rankings
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    united states
    Description

    Total-Other-Income-Expense-Net Time Series for American Homes 4 Rent. AMH (NYSE: AMH) is a leading large-scale integrated owner, operator, and developer of single-family rental homes. We're an internally managed Maryland real estate investment trust (REIT) focused on acquiring, developing, renovating, leasing and managing homes as rental properties. In recent years, we've been named a 2025 Great Place to Work, a 2025 Top U.S. Homebuilder by Builder100, and one of the 2025 Most Trustworthy Companies in America by Newsweek and Statista Inc. As of June 30, 2025, we owned over 61,000 single-family properties in the Southeast, Midwest, Southwest and Mountain West regions of the United States.

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The Warren Group (2024). US National Rental Data | 14M+ Records in 16,000+ ZIP Codes | Rental Data Lease Terms & Pricing Trends [Dataset]. https://datarade.ai/data-products/us-national-rental-data-14m-records-in-16-000-zip-codes-the-warren-group

US National Rental Data | 14M+ Records in 16,000+ ZIP Codes | Rental Data Lease Terms & Pricing Trends

Explore at:
.csv, .xls, .txtAvailable download formats
Dataset updated
Oct 21, 2024
Dataset authored and provided by
The Warren Group
Area covered
United States of America
Description

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
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