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.

South Dakota was the U.S. state with the highest vacancy rate index in January 2025. Conversely, New Jersey, New York, and Illinois had the lowest vacancy rate index during that period. All three states had an index value of under five percent. Overall, apartment vacancies in the U.S. have increased since 2021, due to the increase in new supply.

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

In June 2025, the Australian city of Melbourne had a rental property vacancy rate of *** percent. In contrast, the rental property vacancy rate in Darwin was estimated at *** percent in the same month.

United States Housing Vacancy Rate: Rental data was reported at 6.800 % in Jun 2018. This records a decrease from the previous number of 7.000 % for Mar 2018. United States Housing Vacancy Rate: Rental data is updated quarterly, averaging 7.400 % from Mar 1956 (Median) to Jun 2018, with 250 observations. The data reached an all-time high of 11.100 % in Sep 2009 and a record low of 5.000 % in Dec 1981. United States Housing Vacancy Rate: Rental data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.EB008: Housing Vacancy and Home Ownership Rate.

Graph and download economic data for Rental Vacancy Rate for Texas (TXRVAC) from 1986 to 2024 about vacancy, rent, TX, rate, and USA.

The rental vacancy rate represents the percentage of US residential rental properties that are without tenants. The rate is positively correlated with homeownership rates, and a high vacancy rate is indicative of low demand for renting. Data is sourced from the US Census Bureau's Housing Vacancy Survey.

Rental vacancy rates across the United States showed significant regional differences in 2024, with the South experiencing the highest rate at 8.7 percent. This disparity reflects broader demographic shifts and economic factors influencing the rental market. The regional variations in vacancy rates have persisted despite an overall decline since 2014, highlighting the complex dynamics of the U.S. housing landscape. Rental demand and affordability challenges The rental market continues to face pressure from high demand, particularly among younger demographics. People under 30 comprise the largest share of American renters, with approximately 42 million in this age group. Despite softening rents in some areas, affordability remains a significant issue. In 2023, 42.5 percent of renters paid gross rent exceeding 35 percent of their income, indicating widespread financial strain among tenants. Regional disparities and market trends The Northeast and West regions, which include many large urban areas, have consistently lower vacancy rates compared to the Midwest and South. This trend aligns with population shifts towards these regions, fueling higher home prices growth. The rental market has shown signs of stabilization in 2023, with the number of vacant homes for rent slightly picking up after two years of record-low vacancy.

Graph and download economic data for Rental Vacancy Rate for the United States (USRVAC) from 1986 to 2024 about vacancy, rent, rate, and USA.

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.

The U.S. multifamily vacancy rate increased slightly in 2023, after reaching one of the lowest levels on record in 2022. Approximately *** percent of multifamily homes were vacant in the fourth quarter of 2023. Despite the increase, this figure was notably lower than the long-term historical average. U.S. multifamily housing sector Multifamily housing, refers to a housing type where multiple apartments are contained within one housing unit, or when several buildings form a larger complex. Construction of such houses has been on the rise, as the industry struggles to meet housing demand. The average size of such a housing unit was ***** square feet. Popularity among investors Multifamily housing accounted for almost ** percent of the housing stock in the United States in 2021. This type of real estate is popular among investors because it tends to generate a steady cash flow, and be easy to obtain financing for.

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

The long-term rental apartment market is experiencing robust growth, driven by several key factors. Increasing urbanization, coupled with a shift towards flexible living arrangements and a preference for convenience over homeownership, are fueling demand. Millennials and Gen Z, in particular, are driving this trend, opting for rental properties that offer amenities and services tailored to their lifestyle preferences. Technological advancements, such as online platforms for apartment searching and property management, are streamlining the rental process and contributing to market expansion. The market is segmented by property type (e.g., studios, one-bedrooms, multi-family units), location (urban vs. suburban), and rental price range. Competition is intensifying among established players and new entrants, leading to innovations in property design, management practices, and tenant services. This competitive landscape is beneficial to consumers, leading to improved quality and more diverse rental options. Despite the strong growth trajectory, several challenges remain. Inflationary pressures, increasing construction costs, and potential interest rate fluctuations can influence market dynamics. Regulations and policies related to rent control and tenant rights also play a significant role. Furthermore, maintaining sustainable occupancy rates and managing property maintenance effectively are crucial for successful operations in this market. The long-term outlook remains positive, driven by persistent underlying demographic shifts and the ongoing appeal of rental living, although cyclical economic factors will continue to exert influence on investment and growth. We project continued steady growth, albeit with potential moderation based on macroeconomic conditions.

Graph and download economic data for Rental Vacancy Rate for California (CARVAC) from 1986 to 2024 about vacancy, rent, CA, rate, and USA.

The rental vacancy rate represents the average number of residential rental units available per multifamily complex. The rate is positively correlated with homeownership rates and a high vacancy rate is indicative of low demand for renting. Data is sourced from the Canada Mortgage and Housing Corporation's Rental Market Survey.

Rental Vacancy Rate for Massachusetts was 3.20% in January of 2024, according to the United States Federal Reserve. Historically, Rental Vacancy Rate for Massachusetts reached a record high of 8.80 in January of 1992 and a record low of 2.50 in January of 2023. Trading Economics provides the current actual value, an historical data chart and related indicators for Rental Vacancy Rate for Massachusetts - last updated from the United States Federal Reserve on October of 2025.

--- DATASET OVERVIEW --- This dataset captures detailed performance data for individual vacation rental properties, providing a complete picture of operational success metrics across different timeframes and market conditions. With weekly updates and four years of historical data, it enables both point-in-time analysis and long-term trend identification for property-level performance.

The data is derived from OTA platforms using advanced methodologies that capture listing, calendar and quote details. Our algorithms process this raw information to produce standardized and enriched performance metrics that facilitate accurate comparison across different property types, locations, and time periods. By leveraging our other datasets and machine learning models, we are able to accurately detect guest bookings, revenue generation, and occupancy patterns.

--- KEY DATA ELEMENTS --- Our dataset includes the following core performance metrics for each property: - Property Identifiers: Unique identifiers for each property with OTA-specific IDs - Geographic Information: Location data including neighborhood, city, region, and country - Property Characteristics: Property type, bedroom count, bathroom count, and capacity - Occupancy Metrics: Daily, weekly, and monthly occupancy rates based on actual bookings - Revenue Generation: Total revenue, average daily rate (ADR), and revenue per available day (RevPAR) - Booking Patterns: Lead time distribution, length of stay patterns, and booking frequency - Seasonality Indicators: Performance variations across seasons, months, and days of week - Competitive Positioning: Performance relative to similar properties in the same market - Historical and Forward Looking Trends: Year-over-year and month-over-month performance changes

--- USE CASES --- Property Performance Optimization: Property managers can leverage this dataset to evaluate the performance of individual listings against market benchmarks. By identifying properties that underperform relative to similar listings in the same area, managers can implement targeted improvements to pricing strategies, property amenities, or marketing approaches. The granular performance data enables precise identification of specific improvement opportunities at the individual property level.

Competitive Benchmarking: Property owners and managers can benchmark their listings against competitors with similar characteristics in the same market. The property-level performance metrics enable detailed comparison of occupancy rates, ADR, and revenue generation across comparable properties. This competitive intelligence helps identify realistic performance targets and market positioning opportunities.

Portfolio Optimization: Vacation rental portfolio managers can analyze performance variations across different property types and locations to optimize investment and management decisions. The dataset supports identification of high-performing property configurations and locations, enabling strategic portfolio development based on actual performance data rather than assumptions.

Seasonal Strategy Development: The historical performance data across different seasons enables development of targeted seasonal strategies. Property managers can analyze how different property types perform during specific seasons or events, informing marketing focus, pricing adjustments, and operational planning throughout the year.

Performance Forecasting: Historical performance patterns can be leveraged to develop accurate forecasts for future periods. By analyzing year-over-year trends and seasonal patterns, property managers can anticipate performance expectations and set realistic targets for occupancy and revenue generation.

--- ADDITIONAL DATASET INFORMATION --- Delivery Details: • Delivery Frequency: daily | weekly | monthly | quarterly | annually • Delivery Method: scheduled file loads • File Formats: csv | parquet • Large File Format: partitioned parquet • Delivery Channels: Google Cloud | Amazon S3 | Azure Blob • Data Refreshes: daily

Dataset Options: • Coverage: Global (most countries) • Historic Data: Available (2021 for most areas) • Future Looking Data: Available (Current date + 180 days+) • Point-in-Time: Available (with weekly as of dates) • Aggregation and Filtering Options: • Area/Market • Time Scales (daily, weekly, monthly) • Listing Source • Property Characteristics (property types, bedroom counts, amenities, etc.) • Management Practices (professionally managed, by owner)

Contact us to learn about all options.

--- DATA QUALITY AND PROCESSING --- Our data processing methodology ensures high-quality, reliable performance metrics that accurately represent actual property performance. The raw booking and revenue data undergoes extensive validation and normalization processes to address inconsistencies, identify anomalies, and ensure comparability across different pro...

Displacement risk indicator classifying community reporting areas according to apartment vacancy rates. Vacancy rates are calculated at the Community Reporting Area level, which are a combination of one or more census tracts. We visualize them as census tracts here, but columns should not be summed to make a total. We include both vacancy rates and change in year over year vacancy rates.Note: Vacancy rate 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

Historical market performance data including occupancy rates, average daily rates, and revenue trends

United States Housing Vacancy Rate: Rental: Central City Areas data was reported at 6.800 % in Jun 2018. This records a decrease from the previous number of 7.200 % for Mar 2018. United States Housing Vacancy Rate: Rental: Central City Areas data is updated quarterly, averaging 7.800 % from Mar 1965 (Median) to Jun 2018, with 209 observations. The data reached an all-time high of 11.300 % in Mar 2010 and a record low of 4.700 % in Dec 1981. United States Housing Vacancy Rate: Rental: Central City Areas data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.EB008: Housing Vacancy and Home Ownership Rate.