This dataset contains data of non-market housing projects - both the buildings owned by City of Vancouver, and the buildings provided by other agencies. Non-market housing is for low and moderate income singles and families, often subsidized through a variety of ways, including senior government support. This housing is managed through various operators, including the public, non-profit, co-op, and urban indigenous sectors. Non-market housing is located throughout Vancouver in the forms of social, supportive, and co-op housing. This dataset includes temporary modular housing, which are demountable structures, not permanently affixed to land and assembled within months. The inventory does not include the following types of housing:Special Needs Residential Facilities - includes community care facilities providing licensed care services, and group residences providing housing as required by law, rehabilitative programs, or temporary housingSingle Room Accommodation - privately-owned single room occupancy (SRO) hotels, rooming houses, and other housing with rooms less than 320 square feet, typically featuring units with a basic cooking setup and shared bathroomsShelters - provide temporary beds, meals, and services to the city's homeless population NoteUnit total (and breakdown) of projects could change over the course of development and are not captured real timeHousing projects with "proposed", "approved" and "under construction" status may not contain unit number breakdown by "Design"Housing projects with "proposed", "approved" and "under construction" status may not contain information on operator names or typeUnit total is the sum of clientele groups (families, seniors, and others) Data currencyThis dataset is updated weekly. Data accuracyData for this dataset is amalgamated from a number of sources. It is possible that some information may not be shown because of data synchronization issues. There may be some loss of quality from data entry errors.Non-housing market projects for which geographic coordinates are not available yet will not show up on the map or in the spatial formats. For a complete list, please consult the XLS or CSV formats. Websites for further informationSocial and market rental housingFind social and co-op housing in Vancouver

In 2024, there were approximately **** million housing units occupied by renters in the United States. This number has been gradually increasing since 2010 as part of a long-term upward swing since 1975. Meanwhile, the number of unoccupied rental housing units has followed a downward trend, suggesting a growing demand and supply failing to catch up. Why are rental homes in such high demand? This high demand for rental homes is related to the shortage of affordable housing. Climbing the property ladder for renters is not always easy, as it requires prospective homebuyers to save up for a down payment and qualify for a mortgage. In many metros, the median household income is insufficient to qualify for the median-priced home. How many owner occupied homes are there in the U.S.? In 2023, there were over ** million owner occupied homes. Owner occupied housing is when the person who owns a property – either outright or through a mortgage – also resides in the property. Excluded are therefore rental properties, employer-provided housing and social housing.

The online apartment rental services industry is experiencing significant growth because of the booming apartment supply, with over half a million new rental units completed in 2024. Major cities like New York, Dallas and Austin are leading the way in this surge, causing an influx of new, predominantly high-end rental units. As a result, there is increased competition among property managers and a need for more effective digital marketing strategies to reach potential renters. This accelerated growth is predominantly benefiting online rental services, which have seen a climb in listings that, in turn, drive more traffic as renters seek opportunities and deals in markets with slowing rent growth. Overall, industry-wide revenue has climbed at a CAGR of 7.7% to $928.1 million through the end of 2025, including an 8.6% gain in 2025 alone, when profit is expected to reach 23.8%. Leading organizations, such as Zillow and Redfin, are taking advantage of this trend by forming partnerships to expand their listing networks and reach. The consolidation of these digital platforms means renters can access a broader range of apartment listings, streamlining their search process and increasing market transparency. Meanwhile, property marketers are presented with simplified operations and increased marketing leads because of enhanced exposure across major rental platforms. However, smaller markets and affordable housing are not receiving the same benefits, signaling a need for more targeted digital marketing and search tools. The online apartment rental services industry is set to face a shift from oversupply to scarcity by the end of 2030. As apartment construction slows because of high borrowing costs, tighter lending standards and rising project costs, there will be a greater demand for platforms that can help landlords maximize occupancy and optimize rents in a tightening market. To meet this demand, innovations in technology, such as predictive analytics, dynamic pricing and personalized renter experiences, will become a necessity. Amid these changes, the industry is also likely to see a gain in demand for single-family rentals, creating new opportunities for digital platforms to expand their offerings and capture a larger market share. Industry revenue will strengthen at a CAGR of 9.0% to $1.4 billion in 2030.

Global Real Estate Rental market size is expected to reach $3877.45 billion by 2029 at 7.4%, segmented as by type, residential buildings and dwellings rental services, non-residential buildings rental services

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.

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Non-Residential HVAC Rental Equipment Market Size 2024-2028

The non-residential hvac rental equipment market size is forecast to increase by USD 1.69 billion at a CAGR of 5.65% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing adoption of cleanrooms across various industries. These controlled environments require specialized HVAC systems to maintain specific temperature, humidity, and air quality conditions. Moreover, the emergence of smart and connected HVAC equipment is revolutionizing the market, offering enhanced energy efficiency, improved performance, and easier maintenance. Additionally, the easy availability of financing options for HVAC rental equipment is further fueling market expansion. However, regulatory hurdles impacting adoption in certain regions and supply chain inconsistencies tempering growth potential pose challenges for market participants. Companies seeking to capitalize on this market's opportunities must stay informed of regulatory requirements and invest in robust supply chain management strategies to ensure timely delivery and high-quality equipment. By addressing these challenges effectively, businesses can differentiate themselves in the competitive landscape and secure a strong market position.

What will be the Size of the Non-Residential HVAC Rental Equipment Market during the forecast period?

Request Free SampleIn the dynamic US market for HVAC rental equipment, various sectors drive demand. Commercial applications, including construction crews and industrial spaces, utilize portable HVAC solutions during intense construction activities and cold spells to maintain a comfortable atmosphere. Simultaneously, event and entertainment industries, such as weddings, festivals, and concerts, require HVAC rental equipment to create optimal conditions for guests. Additionally, commercial spaces, data centers, hospitals, and cleanrooms rely on primary HVAC systems and air purification systems, featuring pleated filters and carbon footprint reduction technologies, to ensure optimal indoor air quality. Natural disasters and power outages further increase the need for HVAC rental equipment, particularly in residential spaces. Smartphone-enabled HVAC equipment offers energy-efficient solutions, enabling users to remotely manage temperature and settings, making it a popular choice for businesses seeking to reduce their carbon footprint.

How is this Non-Residential HVAC Rental Equipment Industry segmented?

The non-residential hvac rental equipment industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. ComponentUnitary equipmentPortable equipmentChillers equipmentEnd-userIndustrialCommercialGeographyNorth AmericaUSEuropeGermanyAPACChinaJapanSouth KoreaRest of World (ROW)

By Component Insights

The unitary equipment segment is estimated to witness significant growth during the forecast period.Unitary equipment, which encompasses heating, ventilation, and air conditioning systems, plays a crucial role in providing temporary heating, cooling, drying, and dehumidification solutions for various industries. companies like Herc Rentals cater to a diverse customer base, including commercial construction activities, particularly in the Middle East and Asian economies, which are experiencing a surge. In Europe and North America, the demand for heating equipment is high due to the extreme climatic temperatures. Underfloor heating systems, a type of unitary equipment, are gaining popularity due to their energy savings and minimal space requirements. Additionally, the event and entertainment industry, medical facilities, industrial spaces, and food & beverage industries rely on HVAC rental equipment for maintaining a comfortable atmosphere during outdoor events, power outages, and other disruptions. HVAC rental equipment is also essential for data centers, cleanrooms, and other critical environments that require precise temperature and air quality control. Air purification systems, including HEPA filters, fiberglass filters, electrostatic filters, and carbon air filters, are increasingly being used to address the growing concern for indoor air quality and reducing carbon footprints. Energy-efficient HVAC equipment is another trend, with companies offering smartphone-enabled solutions for remote monitoring and automation. The non-residential sector, including sports events, construction crews, trade shows, and hospitals, also heavily utilizes portable HVAC solutions for various applications.

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The Unitary equipment segment was valued at USD 2.20 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 51

The global non-residential property rental services market size was valued at USD 1,322.1 billion in 2023 and is expected to expand at a compound annual growth rate (CAGR) of 6.5% from 2023 to 2033. The market growth is attributed to the increasing demand for flexible and cost-effective workspace solutions, particularly among start-ups, small businesses, and multinational corporations. The growth is also driven by the rising popularity of co-working spaces, which offer shared office spaces and amenities. The market is segmented based on type and application. By type, the long-term lease segment held the largest market share in 2023 and is expected to maintain its dominance throughout the forecast period. This is due to the preference for stability and long-term commitments by businesses. The short-term rentals segment is anticipated to witness significant growth due to the increasing popularity of flexible work arrangements and the growing demand for temporary workspaces. By application, the office building segment accounted for the largest revenue share in 2023. The growth is attributed to the expansion of the corporate sector and the increasing demand for high-quality office spaces. The shopping mall segment is expected to grow rapidly due to the rising consumer spending and the growth of e-commerce.

This statistic shows the least affordable off-campus rents in college towns in the United States in 2017. Stanford University was the second most expensive college town for off-campus rents with a market difference of 68.3 percent. This means that the average off-campus rent near Stanford university was 68.3 percent higher than the average market rent in that area.

Small Area Fair Market Rents (SAFMRs) are FMRs calculated for ZIP Codes. Small Area FMRs are required to be used to set Section 8 Housing Choice Voucher payment standards in areas designated by HUD (available here). Other Housing Agencies operating in non-designated metropolitan areas or non-metropolitan counties may opt-in to the use of Small Area FMRs. Furthermore, Small Area FMRs may be used as the basis for setting Exception Payment Standards – PHAs may set exception payment standards up to 110 percent of the Small Area FMR. PHAs administering Public Housing units may use Small Area FMRs as an alternative to metropolitan area-wide FMRs when calculating Flat Rents. Please See HUD’s Small Area FMR Final Rule for additional information regarding the uses of Small Area FMRs.

Brazil Gross Value Added: Non Financial: Services: Real Estate Activities & Rentals: Production: Non-Market Output data was reported at 0.000 BRL mn in 2016. This records a decrease from the previous number of 162.000 BRL mn for 2015. Brazil Gross Value Added: Non Financial: Services: Real Estate Activities & Rentals: Production: Non-Market Output data is updated yearly, averaging 0.000 BRL mn from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 162.000 BRL mn in 2015 and a record low of 0.000 BRL mn in 2016. Brazil Gross Value Added: Non Financial: Services: Real Estate Activities & Rentals: Production: Non-Market Output data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s National Accounts – Table BR.AC008: SNA 2008: Gross Value Added: by Institutional Sector: Non Financial Institutions.

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.

Indices indicating year-over-year changes in market rent, benchmark costs and benchmark revenue of non-profit social housing projects under the Housing Services Act.

Since passage of the U.S. Housing Act of 1937, the federal government has provided housing assistance to low-income renters. Most of these housing subsidies were provided under programs administered by the U.S. Department of Housing and Urban Development (HUD) or predecessor agencies. All programs covered in this report provide subsidies that reduce rents for low-income tenants who meet program eligibility requirements. Generally, households pay rent equal to 30 percent of their incomes, after deductions, while the federal government pays the remainder of rent or rental costs. To qualify for a subsidy, an applicant’s income must initially fall below a certain income limit. These income limits are HUD-determined, location specific, and vary by household size. Applicants for housing assistance are usually placed on a waiting list until a subsidized unit becomes available.Assistance provided under HUD programs falls into three categories: public housing, tenant-based, and privately owned, project-based.In public housing, local housing agencies receive allocations of HUD funding to build, operate or make improvements to housing. The housing is owned by the local agencies. Public housing is a form of project-based subsidy because households may receive assistance only if they agree to live at a particular public housing project.Currently, tenant based assistance is the most prevalent form of housing assistance provided. Historically, tenant based assistance began with the Section 8 certificate and voucher programs, which were created in 1974 and 1983, respectively. These programs were replaced by the Housing Choice Voucher program, under legislation enacted in 1998. Tenant based programs allow participants to find and lease housing in the private market. Local public housing agencies (PHAs) and some state agencies serving as PHAs enter into contracts with HUD to administer the programs. The PHAs then enter into contracts with private landlords. The housing must meet housing quality standards and other program requirements. The subsidies are used to supplement the rent paid by low-income households. Under tenant-based programs, assisted households may move and take their subsidy with them. The primary difference between certificates and vouchers is that under certificates, there was a maximum rent which the unit may not exceed. By contrast, vouchers have no specific maximum rent; the low-income household must pay any excess over the payment standard, an amount that is determined locally and that is based on the Fair Market Rent. HUD calculates the Fair Market Rent based on the 40th percentile of the gross rents paid by recent movers for non-luxury units meeting certain quality standards.The third major type of HUD rental assistance is a collection of programs generally referred to as multifamily assisted, or, privately-owned, project-based housing. These types of housing assistance fall under a collection of programs created during the last four decades. What these programs have in common is that they provide rental housing that is owned by private landlords who enter into contracts with HUD in order to receive housing subsidies. The subsidies pay the difference between tenant rent and total rental costs. The subsidy arrangement is termed project-based because the assisted household may not take the subsidy and move to another location. The single largest project-based program was the Section 8 program, which was created in 1974. This program allowed for new construction and substantial rehabilitation that was delivered through a wide variety of financing mechanisms. An important variant of project-based Section 8 was the Loan Management Set Aside (LMSA) program, which was provided in projects financed under Federal Housing Administration (FHA) programs that were not originally intended to provide deep subsidy rental assistance. Projects receiving these LMSA “piggyback” subsidies were developed under the Section 236 program, the Section 221(d)(3) Below Market Interest Rate (BMIR) program, and others that were unassisted when originally developed.Picture of Subsidized Households does not cover other housing subsidy programs, such as those of the U.S. Department of Agriculture’s Rural Housing Service, unless they also receive subsidies referenced above. Other programs such as Indian Housing, HOME and Community Develo

Additional affordable dwellings by local authority district, England 1991-92 to 2016-17

This dataset describes the additions to the stock of affordable housing from the period 1991-92 to 2016-17, broken down by local authority district. Note that over that period, there have been numerous changes to the structure of local government, therefore some districts do not have values for the full series of years, only for those years when the corresponding local authority was in operation. Affordable housing is the sum of affordable rent, social rent, intermediate rent and affordable home ownership. Affordable homes are defined in line with the National Planning Policy Framework, published 27 March 2012, as housing units (or traveller pitches and bed spaces when describing a shared dwelling such as a hostel) provided to specified eligible households whose needs are not met by the market. Eligibility may be determined with regard to local authority allocations policies, local incomes and local house prices depending on the type of affordable housing. Affordable housing should include provisions to remain at an affordable price for future eligible households or for the subsidy to be recycled for alternative affordable housing provision. Affordable rented housing is a new form of social housing, introduced in 2011 as the main type of affordable housing supply. It may only be delivered with grant through the Affordable Homes Programme 2011-17 and other associated and subsequent programmes or without grant by local authority and other providers, where a contract or confirmation of the ability to charge an affordable rent is in place. Affordable rented homes are let by local authorities or private registered providers of social housing to households who are eligible for social rented housing. Affordable rent is subject to rent controls that require a rent of up to 80 per cent of the local market rent (including service charges, where applicable). Social rented housing is rented housing owned and managed by local authorities and private registered providers, for which target rents are determined through the national rent regime. It may also include rented housing managed by other persons and provided under equivalent rental arrangements to the above. Intermediate affordable housing is housing at prices and rents above those of social rent but below market price or rents, and which meet the criteria as set out in the definition for affordable housing. These can include equity loan products, shared ownership and intermediate rent. The data in this dataset were derived from Tables 1006C, 1006aC, 1007C and 1008C of the DCLG 'Live statistical tables', available in the form of Excel spreadsheets here. For further guidance see the Affordable Housing Supply: April 2016 to March 2017 England Statistical Release.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average (CUUR0000SEHA) from Dec 1914 to May 2025 about primary, rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

The global non-residential accommodation market is experiencing robust growth, projected to maintain a Compound Annual Growth Rate (CAGR) exceeding 12% from 2025 to 2033. While the exact market size in 2025 is unspecified, considering a typical market size for a sector with this growth rate and the involvement of major players like Marriott, Hilton, and Accor, a reasonable estimation places the 2025 market value at approximately $500 million. This significant expansion is fueled by several key drivers. The burgeoning corporate travel sector, particularly in expanding economies, consistently demands high-quality non-residential accommodation options. Furthermore, the increasing popularity of extended-stay accommodations for business travelers and project teams contributes to market expansion. Technological advancements, such as online booking platforms and smart hotel technologies, enhance operational efficiency and guest experience, further stimulating growth. However, economic downturns and potential fluctuations in business travel due to global events could act as restraints. The market is segmented based on factors such as accommodation type (e.g., serviced apartments, corporate housing), location, and service level, offering diverse opportunities for investors and operators. The projected growth trajectory of the non-residential accommodation market for the forecast period (2025-2033) reflects a positive outlook. Market expansion is expected to continue driven by factors like increased business travel, technological advancements leading to improved operational efficiencies and customer experience, and a shift towards longer-term corporate stays. The competitive landscape is dominated by established international hotel chains and specialized providers of corporate housing solutions, constantly innovating to cater to evolving customer demands for comfort, convenience, and cost-effectiveness. Further segmentation analysis might reveal niche markets and specific growth pockets within different regions and customer segments, providing valuable insights for strategic decision-making. Understanding the dynamics of both supply and demand within this market will be crucial for stakeholders to optimize investments and navigate future growth opportunities effectively. Key drivers for this market are: Increased Demand for Unique and Personalized Travel Experiences, Rising Trend of Online Booking and Mobile Applications. Potential restraints include: Competition from Other Alternative Accommodation Options Such as Vacation Rentals and Homestays, Seasonal Demand Fluctuations and Dependence on Tourism Industry. Notable trends are: Technology Driven Services is Driving the Market.

The non-residential accommodation market, valued at XX million in 2025, is projected to grow at a CAGR of 12.00% during the forecast period. This growth is attributed to the increasing number of business travelers, rising disposable income, and growing popularity of vacation rentals. Key market drivers include the expansion of the hospitality sector, technological advancements, and the rise of online booking platforms. Market segmentation reveals distinct categories based on type, end user, and distribution channels. Major players in the industry include InterContinental Hotels Group, Hyatt Hotels Corporation, Marriott International, Four Seasons Hotels and Resorts, AccorHotels, Hilton Worldwide Holdings, MGM Resorts International, and Starwood Hotels. Regionally, North America holds a significant share of the market, followed by Europe and Asia Pacific. The study period extends from 2019 to 2033, providing insights into the historical, current, and future market dynamics. The non-residential accommodation market encompasses a diverse range of lodging options, including hotels, motels, resorts, vacation rentals, and other establishments that provide temporary housing for travelers. This global market is characterized by its vast scale, reaching over USD 1,000 Million in 2023, and its continued growth potential. Recent developments include: December 2022: Hilton Announced Continued Expansion of Waldorf Astoria Hotels & Resorts in the Caribbean and Latin America by signing a new hotel in San Miguel de Allende, Mexico., October 2022: Marriott International to acquire a city express brand to fuel growth in the affordable midscale segment.. Key drivers for this market are: Increased Demand for Unique and Personalized Travel Experiences, Rising Trend of Online Booking and Mobile Applications. Potential restraints include: Competition from Other Alternative Accommodation Options Such as Vacation Rentals and Homestays, Seasonal Demand Fluctuations and Dependence on Tourism Industry. Notable trends are: Technology Driven Services is Driving the Market.

The information presented here is collected via annual returns from Welsh social landlords on stock held by local authorities and registered social landlords (RSLs) as at 31 March each year and the associated average rents charged set on the same date for the following year. Stock The stock estimates in this dataset includes all stock owned, whether Welsh Government funded or otherwise as at 31 March each year, on which social rents are charged. It includes permanent and temporary stock. This dataset excludes: • properties that are charged at anything other than social rents, including those charged at intermediate or market rents, and intermediate tenures (for example shared ownership properties); • all non-residential properties; • dwellings leased to temporarily house the homeless; • any dwellings that are managed as a social lettings agency; • properties where the social landlord has sold the leasehold through right to buy but retains the freehold; and • RSL investment properties. The data were collected via the annual WHO15 returns from local authorities and annual RSL1 returns from RSLs up to 2008-09, but have since been collected via the Welsh Government Social Landlord Stock and Rents data collection. The proportion of social housing stock managed by RSLs will have been influenced by the large scale voluntary transfers of local authority stock. For further information please see the Quality Information in the accompanying Statistical Release (see weblinks). Within self-contained dwellings, the accommodation types include general needs, sheltered, other supported and extra care housing, and data are available on this basis back to 2008-09. During the 2012-13 data collection, the data collected for non self-contained dwellings were also broken down into the same accommodation types. Prior to that, non self-contained data were only collected as a total across all accommodation types. Stock figures will differ from dwelling stock estimates published, which assume that three bedspaces of a non-self contained unit is equivalent to one dwelling. Maisonettes are categorised as flats, whilst bungalows are categorised as houses. Data for English registered RSLs with stock in Wales is excluded. Rents This data presents information on the average weekly rents for wholly rented local authority and RSL dwellings set at the 31 March each year for the following financial year. The data were collected via the annual WHO15 returns from local authorities and annual RSL1 returns from RSLs up to 2008-09, but have since been collected via the Welsh Government Social Landlord Stock and Rents data collection. Rents are shown as at 31 March for the following financial year. If a local authority transfers its stock to a new RSL during the year, the rents are shown for the local authority for the whole of that year. In this dataset, the rents will move to the new RSL from the following 31 March. A list of the large scale voluntary transfers of local authority stock and dates of transfer can be found in the Quality Information in the accompanying Statistical Release (see weblinks). The average weekly rent is the average of the standard rent chargeable, before deduction for rent allowances and also excludes service charges or other charges for amenities (e.g. central heating, hot water supply or laundries) and water rates. Rents are based on a 52 week year. If rent free weeks are given the total amount payable is divided by 52. Properties of unusual size are assigned to the closest available category. Maisonettes are categorised as flats, whilst bungalows are classed as houses. The data includes secure as well as assured tenancies. Within self-contained dwellings, the accommodation types include general needs, sheltered, other supported and extra care housing, and data are available on this basis back to 2008-09. Rent data for non self-contained dwellings was collected for the first in 2012-13 and is broken down by the same accommodation types as self contained. Prior to 2012-13 no rent data is available for non-self contained dwellings.

Brazil Gross Value Added: Household: Services: Real Estate Activities & Rentals: Production: Non-Market Output data was reported at 423,533.000 BRL mn in 2016. This records an increase from the previous number of 400,237.000 BRL mn for 2015. Brazil Gross Value Added: Household: Services: Real Estate Activities & Rentals: Production: Non-Market Output data is updated yearly, averaging 335,975.000 BRL mn from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 423,533.000 BRL mn in 2016 and a record low of 216,622.000 BRL mn in 2010. Brazil Gross Value Added: Household: Services: Real Estate Activities & Rentals: Production: Non-Market Output data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s National Accounts – Table BR.AC011: SNA 2008: Gross Value Added: by Institutional Sector: Household.

Rent estimates at the 50th percentile (or median) are calculated for all Fair Market Rent areas. THESE ARE NOT FAIR MARKET RENTS. Under certain conditions, as set forth in the Interim Rule (Federal Register Vol. 65, No. 191, Monday October 2, 2000, pages 58870-58875), these 50th percentile rents can be used to set success rate payment standards. FY2009-FY2012. Note that data included herein are aggregated from individual files listed in main URL field below.