Sales prices by dwelling type and Local Government Area (LGA).

The global retirement home rentals and sales market is estimated to reach $XX million by 2033, exhibiting a CAGR of XX% from 2025 to 2033. This growth is attributed to the rising geriatric population, increasing life expectancy, and growing demand for comfortable and secure living spaces for the elderly. The market is segmented by type (villa, high-end bungalow, others) and application (residential, commercial). Key drivers include government initiatives and policies supporting senior housing, technological advancements enhancing accessibility and quality of care, and increasing investment in retirement communities. Trends such as personalized care, integrated healthcare services, and co-living arrangements are shaping the market. However, restraints include rising construction costs, labor shortages, and regulatory challenges. North America and Europe are dominant markets, while Asia Pacific is expected to witness significant growth due to the rapidly aging population in the region. Major companies operating in the market include Gateway Real Estate Management, Mantri Developers, Ashiana Housing, Silver Fox Condominiums, and Paranjape Schemes.

Abstract copyright UK Data Service and data collection copyright owner. The CORE datasets contained in the study cover annual official statistics on new lettings of the stock owned by local authorities and private registered providers of social housing in England, as well as sales of the social stock owned by private registered providers. For each year, data is structured into five datasets, four based on type of letting (social rent general needs and supported needs, and affordable rent general needs and supported needs) and one based on sales by private registered providers. All datasets are based on administrative data collected via the COntinuous REcording of Lettings and Sales (CORE) system. It is a regulatory requirement for providers registered with the Homes and Communities Agency to supply the data. For those who are not registered, submissions are voluntary. Local authorities have participated in CORE since 2004-5 on a voluntary basis. In the first year, only 24% of stock-holding local authorities participated, but the number of authorities participating has steadily increased, with all authorities submitting some data for 2013-14. Weighting is applied to adjust for non-response by local authorities for social rent datasets and imputation is also carried out to address item level non-response of key data on tenant characteristic, for both local authorities and private registered providers. The three datasets for affordable rent and sales are not weighted. The sales dataset has imputation which is outlined in the data dictionary The collection of social housing lettings and sales data allows for a better understanding of the socio-economic and demographic make-up of affordable housing customers by tenure and of local housing markets and affordable housing products. These data are used by central government to inform national housing policy and by local government to inform their Strategic Housing Market Assessments. The data are also used by academics, researchers, charities and the wider public to understand social housing issues. Further information may be found on the GOV.UK Social housing lettings and Social housing sales webpages. End User Licence, Special Licence and Secure Access datasets The CORE datasets are available at three access levels, depending on the level of detail in the data. For the standard End User Licence (EUL) version (SN 7603) the geographic level of the data is set at Government Office Region (GOR). Letting and voiding dates are provided at month and year only; age variables are top-coded at 90 years; income, benefits, earnings, charge and shortfall variables are banded to disguise unique values; landlords are grouped into coded categories.For the Special Licence access (SL) version (SN 7604), the geographic level is set at Local Authority. The SL data have more restrictive access conditions than those made available under the standard EUL. Prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version. For Secure Access (this study, SN 7686) the full CORE datasets are available, with some key variables recoded. Prospective users of the Secure Access version will need to fulfil additional requirements, including completion of face-to-face training and agreement to further stringent access conditions. Latest editionFor the eighth edition (August 2022), the data and documentation for CORE Sales covering 2018-19 to 2020-21 have been deposited. Lettings data are currently only available up to 2017-18.

Abstract copyright UK Data Service and data collection copyright owner.

The COntinuous REcording of Lettings and Sales (CORE) is a national information source that provides annual official statistics on new lettings and sales of social housing stock. All datasets are based on administrative data collected via the government's CORE system.

• The CORE lettings data include information on the characteristics of both private registered providers and local authority new social housing tenants and the homes they rent. For each year, data is structured into four datasets based on type of letting (social rent general needs and supported needs, and affordable rent general needs and supported needs). It is a regulatory requirement for providers registered with the Homes and Communities Agency to supply the data. For those who are not registered, submissions are voluntary. Local authorities have participated in CORE since 2004-5 on a voluntary basis. Weighting is applied to adjust for non-response by local authorities for social rent datasets, and imputation is also carried out to address item-level non-response of key data on tenant characteristics for both local authorities and privately registered providers. The three datasets for affordable rent are not weighted or imputed.
• The CORE sales data include information on sales of local authority dwellings and some summary details on sales of registered provider stock (previously known as Registered Social Landlords or housing associations). Collecting these data allows for a better understanding of the socio-economic and demographic make-up of affordable housing customers and local housing markets and products. The sales dataset is imputed, with more information on the imputations within the data dictionary.

The CORE data are used by central government to inform national housing policy and by local government to inform their Strategic Housing Market Assessments. The data are also used by academics, researchers, charities and the wider public to understand social housing issues. Further information may be found on the GOV.UK Social housing lettings and Social housing sales webpages.
Users should note that the Lettings and Sales data are now held in separate datasets at each access level (see below). Previously, they were held in combined studies, SNs 7603, 7604 and 7686, which have now been withdrawn.
End User Licence, Special Licence and Secure Access datasets The CORE datasets are available at three access levels, depending on the level of detail in the data.

• For the standard End User Licence (EUL) version (SNs 9237 and 9238), the geographic level of the data is set at Government Office Region (GOR). Letting and voiding dates are provided at month and year only; age variables are top-coded at 90 years; income, benefits, earnings, charge and shortfall variables are banded to disguise unique values; landlords are grouped into coded categories.
• For the Special Licence access (SL) version (SNs 9239 and 9240), geographic level is set at Local Authority. The SL data have more restrictive access conditions than those made available under the standard EUL. Prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version.
• For Secure Access (SNs 9241 and 9242), the full CORE datasets are available, with some key variables recoded. Prospective users of the Secure Access version will need to fulfil additional requirements, including completion of face-to-face training and agreement to further stringent access conditions.

SN 9240: Continuous Recording of Social Housing Sales (CORE):

This study contains the SL-level CORE Sales data only. The SL CORE Lettings data are held under SN 9239.

Main Topics:

The following topics are covered:

• Lettings data: tenant income; tenant benefits; household demographics (including economic status, nationality, etc.); number of affordable or social lettings; reason for requiring social housing; void periods/ number of times offered; rent and other charges; Reasonable Preference Group (including homelessness status); size and type of property.
• Sales data: number of private registered providers of social housing (PRP) sales; type of sale; household demographics; size of property; type of property; tenant income; financial characteristics of sale (mortgage, % discount, equity, etc.); reason for leaving last home; location of new housing; whether served in the Armed Forces.

Retirement Home Rentals and Sales Market Outlook

The global market size for retirement home rentals and sales was valued at approximately $250 billion in 2023 and is projected to reach around $420 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 6.2%. The growing aging population and increasing demand for specialized senior living facilities are major factors driving the growth of this market.

A significant growth factor for the retirement home rentals and sales market is the aging global population. As life expectancy continues to rise, a larger portion of the population is entering retirement age, necessitating a greater number of senior living options. Countries with advanced healthcare systems and higher standards of living are particularly witnessing a surge in the senior population, which drives the demand for retirement communities that can provide not only accommodation but also necessary healthcare and social support services. Furthermore, the preference for specialized care communities such as assisted living and memory care facilities is becoming more pronounced, catering to the distinct needs of elderly individuals with different levels of independence and health conditions.

Another significant growth driver is the increasing wealth and disposable income among seniors. Many individuals reaching retirement age today have amassed considerable savings and assets over their working lives, allowing them to afford higher-quality living arrangements during their retirement years. This demographic shift is creating a robust market for premium retirement home options, which offer a range of amenities including healthcare services, recreational activities, and social engagement opportunities. Moreover, the trend of retirees looking to downsize from larger family homes to more manageable living spaces is contributing to the marketÂ’s growth. This transition often leads to increased demand for both rental and sales properties within retirement communities.

The advent of advanced healthcare technologies and improved healthcare services in retirement homes is also a major growth catalyst. Modern retirement communities are increasingly integrating state-of-the-art medical facilities and services to cater to the health needs of their residents. The availability of such comprehensive healthcare solutions within retirement homes makes them an attractive option for seniors who require regular medical attention but prefer to maintain a degree of independence. This integration of healthcare within living spaces not only enhances the quality of life for residents but also positions retirement homes as a viable alternative to traditional nursing homes and hospitals.

Regionally, North America dominates the retirement home rentals and sales market, driven by a significant aging population and well-developed healthcare infrastructure. Europe follows closely, with countries like Germany and the UK experiencing substantial growth in demand for senior living facilities. The Asia Pacific region is poised for rapid growth, with developing countries such as China and India witnessing increasing investments in retirement housing due to their large aging populations and improving economic conditions. The regional market dynamics are influenced by varying factors such as cultural attitudes towards aging, economic development, and the availability of healthcare services.

Assisted Living Facilities have become an integral part of the senior living landscape, offering a unique blend of independence and support for older adults. These facilities are designed to provide personalized care tailored to the needs of each resident, ensuring that they receive the right level of assistance with daily activities such as bathing, dressing, and medication management. The growing popularity of Assisted Living Facilities can be attributed to their ability to offer a home-like environment where seniors can maintain their dignity and autonomy while having access to necessary healthcare services. Families often choose these facilities for their loved ones because they provide a safe and nurturing environment that bridges the gap between independent living and more intensive nursing care. As the demand for specialized senior care continues to rise, Assisted Living Facilities are evolving to include more amenities and services, making them an attractive option for seniors seeking a balanced lifestyle.

Type Analysis

The retirement home rentals and sales mar

Graph and download economic data for Producer Price Index by Commodity: Real Estate Services (Partial): Residential Property Sales and Rental, Brokerage Fees and Commissions (WPU432101) from Dec 2008 to Jun 2025 about brokers, fees, rent, real estate, residential, sales, services, commodities, PPI, inflation, price index, indexes, price, 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 slower 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 high, further encouraging consumers to rent. Revenue has climbed at a CAGR of 2.9% over the past five years and is expected to reach $299.7 billion by the end of 2025. This includes an anticipated 3.0% 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 is likely to be shaped by varying factors. The apartment supply in the US, which hit a record in 2024, is expected to taper off, which will, in turn, push rental prices and occupancy rates up to the lessors' benefit. Other factors, such as further interest rate cuts, decreasing financial barriers to homeownership, and a high rate of urbanization, will also significantly impact the industry. Wth approximately 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 2.8% over the next five years, reaching an estimated $344.3 billion in 2030.

Abstract copyright UK Data Service and data collection copyright owner.The COntinuous REcording of Lettings and Sales (CORE) is a national information source that provides annual official statistics on new lettings and sales of social housing stock. All datasets are based on administrative data collected via the government's CORE system. The CORE lettings data include information on the characteristics of both private registered providers and local authority new social housing tenants and the homes they rent. For each year, data is structured into four datasets based on type of letting (social rent general needs and supported needs, and affordable rent general needs and supported needs). It is a regulatory requirement for providers registered with the Homes and Communities Agency to supply the data. For those who are not registered, submissions are voluntary. Local authorities have participated in CORE since 2004-5 on a voluntary basis. Weighting is applied to adjust for non-response by local authorities for social rent datasets, and imputation is also carried out to address item-level non-response of key data on tenant characteristics for both local authorities and privately registered providers. The three datasets for affordable rent are not weighted or imputed. The CORE sales data include information on sales of local authority dwellings and some summary details on sales of registered provider stock (previously known as Registered Social Landlords or housing associations). Collecting these data allows for a better understanding of the socio-economic and demographic make-up of affordable housing customers and local housing markets and products. The sales dataset is imputed, with more information on the imputations within the data dictionary. The CORE data are used by central government to inform national housing policy and by local government to inform their Strategic Housing Market Assessments. The data are also used by academics, researchers, charities and the wider public to understand social housing issues. Further information may be found on the GOV.UK Social housing lettings and Social housing sales webpages. Users should note that the Lettings and Sales data are now held in separate datasets at each access level (see below). Previously, they were held in combined studies, SNs 7603, 7604 and 7686, which have now been withdrawn. End User Licence, Special Licence and Secure Access datasets The CORE datasets are available at three access levels, depending on the level of detail in the data. For the standard End User Licence (EUL) version (SNs 9237 and 9238), the geographic level of the data is set at Government Office Region (GOR). Letting and voiding dates are provided at month and year only; age variables are top-coded at 90 years; income, benefits, earnings, charge and shortfall variables are banded to disguise unique values; landlords are grouped into coded categories. For the Special Licence access (SL) version (SNs 9239 and 9240), geographic level is set at Local Authority. The SL data have more restrictive access conditions than those made available under the standard EUL. Prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version. For Secure Access (SNs 9241 and 9242), the full CORE datasets are available, with some key variables recoded. Prospective users of the Secure Access version will need to fulfil additional requirements, including completion of face-to-face training and agreement to further stringent access conditions. SN 9242: Continuous Recording of Social Housing Sales (CORE): Secure Access:This study contains the Secure Access version of CORE Sales data only. The Secure Access CORE Lettings data are held under SN 9241. Main Topics:The following topics are covered:Lettings data: tenant income; tenant benefits; household demographics (including economic status, nationality, etc.); number of affordable or social lettings; reason for requiring social housing; void periods/ number of times offered; rent and other charges; Reasonable Preference Group (including homelessness status); size and type of property.Sales data: number of private registered providers of social housing (PRP) sales; type of sale; household demographics; size of property; type of property; tenant income; financial characteristics of sale (mortgage, % discount, equity, etc.); reason for leaving last home; location of new housing; whether served in the Armed Forces.

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

Price to Rent Ratio in the United States increased to 134.20 in the fourth quarter of 2024 from 133.60 in the third quarter of 2024. This dataset includes a chart with historical data for the United States Price to Rent Ratio.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Introduction

Car Rental Statistics: Throughout the year 2024, the car rental industry has been evolving. This means that it has grown as an important part of the global travel and transport system. The car rental industry is in a recognised period of significant evolution as technological advancements the rising importance of sustainable practices, and enhanced customer experience adaptation have started making ways towards its fold.

This article will look into the latest car rental statistics, trends, and insights about the car rental industry this year.

Beijing: Real Estate: Sales Revenue: Rental Income data was reported at 13,446.476 RMB mn in 2023. This records a decrease from the previous number of 14,212.754 RMB mn for 2022. Beijing: Real Estate: Sales Revenue: Rental Income data is updated yearly, averaging 12,300.093 RMB mn from Dec 1994 (Median) to 2023, with 30 observations. The data reached an all-time high of 36,640.376 RMB mn in 2016 and a record low of 17.410 RMB mn in 1994. Beijing: Real Estate: Sales Revenue: Rental Income data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKF: Real Estate Enterprise: Beijing.

Shanghai: Real Estate: Sales Revenue: Rental Income data was reported at 57,004.672 RMB mn in 2023. This records an increase from the previous number of 46,498.064 RMB mn for 2022. Shanghai: Real Estate: Sales Revenue: Rental Income data is updated yearly, averaging 22,353.565 RMB mn from Dec 1994 (Median) to 2023, with 30 observations. The data reached an all-time high of 57,004.672 RMB mn in 2023 and a record low of 148.540 RMB mn in 1994. Shanghai: Real Estate: Sales Revenue: Rental Income data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKF: Real Estate Enterprise: Shanghai.

China Real Estate: Sales Revenue: Rental Income data was reported at 156,832.252 RMB mn in 2017. This records a decrease from the previous number of 178,696.723 RMB mn for 2016. China Real Estate: Sales Revenue: Rental Income data is updated yearly, averaging 15,445.315 RMB mn from Dec 1988 (Median) to 2017, with 30 observations. The data reached an all-time high of 178,696.723 RMB mn in 2016 and a record low of 88.260 RMB mn in 1988. China Real Estate: Sales Revenue: Rental Income data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKF: Real Estate Enterprise: All.

Taipei City National Housing Sales (Rent) Statistics Table

Commercial leasing providers serve as lessors of buildings for nonresidential purposes. Industry participants include owner-lessors of nonresidential buildings, establishments that rent real estate and then act as lessors in subleasing it and establishments that provide full-service office space. Through the end of 2025, lessors have experienced mixed demand from critical downstream market segments. Since the onset of COVID-19, demand for office space has been volatile amid work-from-home and hybrid work arrangements. However, demand for industrial and retail spaces has risen, bolstered by gaining e-commerce sales and resilient consumer spending, buoying industry revenue. Over the past five years, industry revenue has climbed at a CAGR of 0.6% to reach $257.5 billion, including an estimated 0.7% gain in 2025. From 2020 to 2022, commercial leasing companies benefited from low interest rates, stimulating business expansion. However, in response to surging inflation, the Federal Reserve began raising interest rates in 2022 and continued into 2023. Rising interest rates translated into higher borrowing costs for tenants seeking new leases for their business operations. This can make expanding or relocating to a larger space more expensive. The industry benefited from three interest rate cuts in 2024. Industry profit remains high, reaching 51.6% of industry revenue in 2025. Industry revenue will climb at a CAGR of 2.6% to $292.9 billion through the end of 2030. Demand for office space will remain subdued over the next five years. However, a shortage of prime office spaces will elevate rent for Class A office buildings, benefiting lessors with those in their portfolios. Per capita disposable income growth and a continuation of climbing consumer spending will bolster demand for retail spaces, especially in suburban and Sun Belt markets. E-commerce sales will continue to power demand for industrial space as the percentage of e-commerce sales to total retail sales will mount.

Abstract copyright UK Data Service and data collection copyright owner.The COntinuous REcording of Lettings and Sales (CORE) is a national information source that provides annual official statistics on new lettings and sales of social housing stock. All datasets are based on administrative data collected via the government's CORE system. The CORE lettings data include information on the characteristics of both private registered providers and local authority new social housing tenants and the homes they rent. For each year, data is structured into four datasets based on type of letting (social rent general needs and supported needs, and affordable rent general needs and supported needs). It is a regulatory requirement for providers registered with the Homes and Communities Agency to supply the data. For those who are not registered, submissions are voluntary. Local authorities have participated in CORE since 2004-5 on a voluntary basis. Weighting is applied to adjust for non-response by local authorities for social rent datasets, and imputation is also carried out to address item-level non-response of key data on tenant characteristics for both local authorities and privately registered providers. The three datasets for affordable rent are not weighted or imputed. The CORE sales data include information on sales of local authority dwellings and some summary details on sales of registered provider stock (previously known as Registered Social Landlords or housing associations). Collecting these data allows for a better understanding of the socio-economic and demographic make-up of affordable housing customers and local housing markets and products. The sales dataset is imputed, with more information on the imputations within the data dictionary. The CORE data are used by central government to inform national housing policy and by local government to inform their Strategic Housing Market Assessments. The data are also used by academics, researchers, charities and the wider public to understand social housing issues. Further information may be found on the GOV.UK Social housing lettings and Social housing sales webpages. Users should note that the Lettings and Sales data are now held in separate datasets at each access level (see below). Previously, they were held in combined studies, SNs 7603, 7604 and 7686, which have now been withdrawn. End User Licence, Special Licence and Secure Access datasets The CORE datasets are available at three access levels, depending on the level of detail in the data. For the standard End User Licence (EUL) version (SNs 9237 and 9238), the geographic level of the data is set at Government Office Region (GOR). Letting and voiding dates are provided at month and year only; age variables are top-coded at 90 years; income, benefits, earnings, charge and shortfall variables are banded to disguise unique values; landlords are grouped into coded categories. For the Special Licence access (SL) version (SNs 9239 and 9240), geographic level is set at Local Authority. The SL data have more restrictive access conditions than those made available under the standard EUL. Prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version. For Secure Access (SNs 9241 and 9242), the full CORE datasets are available, with some key variables recoded. Prospective users of the Secure Access version will need to fulfil additional requirements, including completion of face-to-face training and agreement to further stringent access conditions. SN 9240: Continuous Recording of Social Housing Sales (CORE):This study contains the SL-level CORE Sales data only. The SL CORE Lettings data are held under SN 9239. Main Topics:The following topics are covered:Lettings data: tenant income; tenant benefits; household demographics (including economic status, nationality, etc.); number of affordable or social lettings; reason for requiring social housing; void periods/ number of times offered; rent and other charges; Reasonable Preference Group (including homelessness status); size and type of property.Sales data: number of private registered providers of social housing (PRP) sales; type of sale; household demographics; size of property; type of property; tenant income; financial characteristics of sale (mortgage, % discount, equity, etc.); reason for leaving last home; location of new housing; whether served in the Armed Forces.

The stage rental market is projected to reach USD xx million by 2033, growing at a CAGR of xx% from 2025 to 2033. The market is driven by the increasing popularity of live events, concerts, and festivals, as well as the rising demand for temporary staging solutions for corporate events, trade shows, and exhibitions. Additionally, the growing trend of experiential marketing and the need for immersive experiences are contributing to the growth of the stage rental market. Key market trends include the increasing adoption of modular staging systems, the use of innovative materials and technologies, and the growing focus on sustainability. The market is fragmented, with a large number of regional and local players operating across the globe. Major players in the market include Academy Rental Group, Area Rental & Sales, Atlstage, Crossfire Pro AV Rentals, Del Rey Party Rentals, Elite Events and Rentals, LLC, Fun Source Party Rentals, Gallagher, MSR Mobile Stage Rentals, O'Neil Tents, Orlando Stage Rental, Party Time Rental, Ultimate Events, Rent For Event, Tent Rental NJ, Texas Stage Rental, and many others.