These tables are best understood in relation to the Affordable housing supply statistics bulletin. These tables always reflect the latest data and revisions, which may not be included in the bulletins. Headline figures are presented in live table 1000.
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This statistic shows the share of housing units added in San Francisco from 2014 to 2019, by type. In that period, 77 percent of San Francisco's new housing units were family homes.
In the first quarter of 2024, the share of luxury home sales almost equaled that of affordable homes, reaching 21 percent. The share of luxury homes continuously increased since 2019 during the recorded period, whereas the share of affordable housing dropped until 2023 with a marginal rise in 2024.
Measures the ability of housing voucher holders to find housing in the private rental market. The Housing Choice Voucher (HCV) program is the federal government?s largest low-income housing assistance program where people can seek housing in the private market. The maximum housing assistance is generally the lesser of the payment standard minus 30% of the family's monthly adjusted income or the gross rent for the unit minus 30% of monthly adjusted income. Source: Picture of Subsidized Housing, HUD Years Available: 2014, 2015, 2016, 2017, 2018, 2019
Real Estate Market Size 2025-2029
The real estate market size is forecast to increase by USD 1,258.6 billion at a CAGR of 5.6% between 2024 and 2029.
The market is experiencing significant shifts and innovations, with both residential and commercial sectors adapting to new trends and challenges. In the commercial realm, e-commerce growth is driving the demand for logistics and distribution centers, while virtual reality technology is revolutionizing property viewings. Europe's commercial real estate sector is witnessing a rise in smart city development, incorporating LED lighting and data centers to enhance sustainability and efficiency. In the residential sector, wellness real estate is gaining popularity, focusing on health and well-being. Real estate software and advertising services are essential tools for asset management, streamlining operations, and reaching potential buyers. Regulatory uncertainty remains a challenge, but innovation in construction technologies, such as generators and renewable energy solutions, is helping mitigate risks.
What will be the Size of the Real Estate Market During the Forecast Period?
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The market continues to exhibit strong activity, driven by rising population growth and increasing demand for personal household space. Both residential and commercial sectors have experienced a rebound in home sales and leasing activity. The trend towards live-streaming rooms and remote work has further fueled demand for housing and commercial real estate. Economic conditions and local market dynamics influence the direction of the market, with interest rates playing a significant role in investment decisions. Fully furnished, semi-furnished, and unfurnished properties, as well as rental properties, remain popular options for buyers and tenants. Offline transactions continue to dominate, but online transactions are gaining traction.
The market encompasses a diverse range of assets, including land, improvements, buildings, fixtures, roads, structures, utility systems, and undeveloped property. Vacant land and undeveloped property present opportunities for investors, while the construction and development of new housing and commercial projects contribute to the market's overall growth.
How is this Real Estate Industry segmented and which is the largest segment?
The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Type
Residential
Commercial
Industrial
Business Segment
Rental
Sales
Manufacturing Type
New construction
Renovation and redevelopment
Land development
Geography
APAC
China
India
Japan
South Korea
North America
Canada
US
Europe
Germany
UK
South America
Brazil
Middle East and Africa
By Type Insights
The residential segment is estimated to witness significant growth during the forecast period.
The market encompasses the buying and selling of properties designed for dwelling purposes, including buildings, single-family homes, apartments, townhouses, and more. Factors fueling growth in this sector include the increasing homeownership rate among millennials and urbanization trends. The Asia Pacific region, specifically China, dominates the market due to escalating homeownership rates. In India, the demand for affordable housing is a major driver, with initiatives like Pradhan Mantri Awas Yojana (PMAY) spurring the development of affordable housing projects catering to the needs of lower and middle-income groups. The commercial real estate segment, consisting of office buildings, shopping malls, hotels, and other commercial properties, is also experiencing growth.
Furthermore, economic and local market conditions, interest rates, and investment opportunities in fully furnished, semi-furnished, unfurnished properties, and rental properties influence the market dynamics. Technological integration, infrastructure development, and construction projects further shape the real estate landscape. Key sectors like transportation, logistics, agriculture, and the e-commerce sector also impact the market.
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The Residential segment was valued at USD 1440.30 billion in 2019 and showed a gradual increase during the forecast period.
Regional Analysis
APAC is estimated to contribute 64% to the growth of the global market during the forecast period.
Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
For more insights on the market share of various regions, Request Free Sample
The Asia Pacific region holds the largest share of The market, dr
Direct link: Short-Term Rental Eligibility Dataset
Boston's ordinance on short-term rentals is designed to incorporate the growth of the home-share industry into the City's work to create affordable housing for all residents. We want to preserve housing for residents while allowing Bostonians to benefit from this new industry. Starting on on January 1, 2019, short-term rentals in Boston will need to register with the City of Boston.
Eligibility for every unit in the City of Boston is dependant on the following six criteria:
The Short-Term Rental Eligibility Dataset leverages information, wherever possible, about these criteria. For additional details and information about these criteria, please visit https://www.boston.gov/short-term-rentals.
ATTENTION: The Short-Term Rental Eligibility Dataset is now available for residents and landlords to determine their registration eligibility.
NOTE: These data are refreshed on a nightly basis.
In June 2018, a citywide ordinance established new guidelines and regulations for short-term rentals in Boston. Registration opened January 1, 2019. The Short-Term Rental Eligibility Dataset was created to help residents, landlords, and City officials determine whether a property is eligible to be registered as a short-term rental.
The Short-Term Rental Eligibility Dataset currently joins data from the following datasets:
** Open** the Short-Term Rental Eligibility Dataset. In the dataset's search bar, enter the address of the property you are seeking to register.
Find the row containing the correct address and unit of the property you are seeking. This is the information we have for your unit.
Look at the columns marked as “Home-Share Eligible,” “Limited-Share Eligible,” and “Owner-Adjacent Eligible.”
A “yes” under any of these columns means your unit IS eligible for registration under that short-term rental type. Click here for a description of short-term rental types.
A “no” under any of these columns means your unit is NOT eligible for registration under that short-term rental type. Click here for a description of short-term rental types.
If your unit has a “yes” under “Home-Share Eligible,” “Limited-Share Eligible,” or “Owner-Adjacent Eligible,” you can register your unit here.
If you find that your unit is listed as NOT eligible, and you would like to understand more about why, you can use the Short-Term Rental Eligibility Dataset to learn more. The following columns measure each of the six eligibility criteria in the following ways:
No affordability covenant restrictions
The “Income Restricted” column measures whether the unit is subject to an affordability covenant, as reported by the Department of Neighborhood Development and/or the Boston Planning and Development Agency.
For questions about affordability covenants, contact the Department of Neighborhood Development.
Compliance with housing laws and codes
Learn more about how “Problem Properties” are defined here.
* A **“yes”** in the **“Problem Property Owner”** column tells you that the owner of this unit also owns a “Problem Property,” as reported by the Problem Properties Task Force.
Owners with any properties designated as a Problem Property are NOT eligible.
No unit owned by the owner of a “Problem Property” may register a short-term rental.
Learn more about how “Problem Properties” are defined here.
* The **“Open Violation Count”** column tells you how many open violations the unit has. Units with **any open** violations are NOT eligible. Violations counted include: violations of the sanitary, building, zoning, and fire code; stop work orders; and abatement orders.
NOTE: Violations written before 1/1/19 that are still open will make a unit NOT eligible until these violations are resolved.
If your unit has an open violation, visit these links to appeal your violation(s) or pay your code violation fine(s).
* The **“Violations in the Last 6 Months”** column tells you how many violations the unit has received in the last six months. Units with **three or more** violations, whether open or closed, are NOT eligible.
NOTE: Only violations written on or after 1/1/19 will count against this criteria.
If your unit has an open violation, visit these links to appeal your violation(s) or pay your code violation fine(s).
How to comply with housing laws and codes:
Have an open violation? Visit these links to appeal your violation(s) or pay your code violation fine(s).
Have questions about problem properties? Visit Neighborhood Service’s Problem Properties site.
a legal restriction that prohibits the use of the unit as a Short-Term Rental under condominium bylaws.
Units with legal restrictions found upon investigation are NOT eligible.
If the investigation of a complaint against the unit yields restrictions of the nature detailed above, we will mark the unit with a “yes” in this column. Until such complaint-based investigations begin, all units are marked with “no.”
NOTE: Currently no units have a “legally restricted” designation.
Limited-Share
If you are the owner-occupant of a unit and you have not filed for Residential Tax Exemption, you can still register your unit by proving owner-occupancy. It is recommended that you submit proof of residency in your short-term rental registration application to expedite the process of proving owner-occupancy (see “Primary Residence Evidence” section).
* **“Building Owner-Occupied”** measures whether the building has a single owner AND is owner occupied. A “no” in this column indicates that the unit is NOT eligible for an owner-adjacent short-term rental.
If you believe your building occupancy data is incorrect, please contact the Assessing Department.
Two- or three-family dwelling
The “Units in Building” column tells you how many units are in the building. Owner-Adjacent units are only allowed in two- to three-family buildings; therefore, four or more units in this column will mark the unit as NOT eligible for an Owner-Adjacent Short-Term Rental.
A “no” in the “Building Single Owner” column tells you that the owner of this unit does not own the entire building and is NOT eligible for an Owner-Adjacent Short-Term Rental.
If you believe your building occupancy data is incorrect, please contact the Assessing Department.
R4
If you believe your building occupancy data is incorrect, please contact the Assessing Department.
Visit this site for more information on unit eligibility criteria.
US Residential Construction Market Size 2025-2029
The residential construction market size in the US is forecast to increase by USD 242.9 million at a CAGR of 4.5% between 2024 and 2029.
The residential construction market is experiencing significant growth, driven by several key factors. Firstly, the increasing household formation rates in the US continue to fuel demand for new housing units. Secondly, there is a rising focus on sustainability in residential construction projects, with homebuilders increasingly adopting energy-efficient and eco-friendly building materials and practices.
However, the market also faces challenges, including a shortage of skilled labor for large-scale residential real estate projects, which can impact project timelines and budgets. These trends and challenges are shaping the future of the residential construction industry in the US.
What will be the US Residential Construction Market Size During the Forecast Period?
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The residential construction market is experiencing a significant shift as the affordable housing trend gains momentum. The Federal Reserve's decision to keep the federal funds rate low has contributed to a decrease in mortgage rates, making it an opportune time for home buyers to enter the market. However, the housing supply remains a concern, with construction spending in the residential investment sector showing only modest growth. The labor market's current state is another factor influencing the residential construction industry. With a low unemployment rate, there is a high demand for labor, leading to increased wages and, in turn, higher construction costs.
Inflation also poses a challenge, as it erodes the purchasing power of home buyers and builders alike. The economy's overall health plays a crucial role in the residential construction market's dynamics. A strong economy typically leads to increased demand for new homes, as evidenced by the double-digit growth in housing starts and building permits for single-family homes. However, a recession can lead to a significant decrease in construction activity, as seen in the cancellation rate of housing projects. The Federal Reserve's interest rate decisions, inflation, and the economy's health all impact the residential construction market. Affordable housing programs, such as housing choice vouchers and fair housing programs, play a vital role in ensuring access to housing for a broader population. The construction sectors must navigate these market dynamics to remain competitive and meet the demand for new homes.
The US residential construction market is seeing significant shifts, driven by various housing market trends. Sustainable homebuilding practices are gaining momentum, with a focus on energy-efficient homes and green building materials. Modular construction and prefab housing are becoming increasingly popular for their cost-effective and timely solutions. Urban redevelopment projects are revitalizing city areas, while suburban expansion is fueling demand for new homes. Affordable housing projects are crucial in addressing housing shortages, and real estate investment continues to thrive in these sectors. Smart home integration is also on the rise, with luxury home construction embracing high-tech features. The impact of mortgage rates, coupled with multifamily housing growth and home renovation demand, adds complexity to the market's dynamics.
How is this market segmented and which is the largest segment?
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Product
Apartments and condominiums
Villas
Other types
Type
New construction
Renovation
Application
Single family
Multi-family
Geography
US
By Product Insights
The apartments and condominiums segment is estimated to witness significant growth during the forecast period.
The residential construction market in the US is experiencing growth in the apartment and condominium sectors, driven by shifting preferences and lifestyle choices. Urbanization is a significant factor fueling this trend, as more individuals opt for the conveniences and amenities offered in urban areas. As a result, developers are constructing modern, sustainable, and community-focused living spaces in the form of high-rise apartment buildings and condominium complexes. These structures cater to various demographics, including intergenerational groups and younger generations, reflecting diverse living circumstances. The labor economy and vaccination rates have also contributed to the continued activity in the residential sector, allowing for steady progress in construction projects. While the non-residential sector has faced challenges, the residential sector remains a vi
In a survey conducted in 2019 in New Zealand, regarding the affordability of their homes, over 21 percent of male respondents stated that their home was somewhat unaffordable. This was also the most common assessment for the female respondents, with over 20 percent of female respondents judging their home as somewhat unaffordable. During the past few years housing prices have risen in New Zealand, with slight increases in 2018 as well.
Urban Displacement Project’s (UDP) Estimated Displacement Risk (EDR) model for California identifies varying levels of displacement risk for low-income renter households in all census tracts in the state from 2015 to 2019(1). The model uses machine learning to determine which variables are most strongly related to displacement at the household level and to predict tract-level displacement risk statewide while controlling for region. UDP defines displacement risk as a census tract with characteristics which, according to the model, are strongly correlated with more low-income population loss than gain. In other words, the model estimates that more low-income households are leaving these neighborhoods than moving in.This map is a conservative estimate of low-income loss and should be considered a tool to help identify housing vulnerability. Displacement may occur because of either investment, disinvestment, or disaster-driven forces. Because this risk assessment does not identify the causes of displacement, UDP does not recommend that the tool be used to assess vulnerability to investment such as new housing construction or infrastructure improvements. HCD recommends combining this map with on-the-ground accounts of displacement, as well as other related data such as overcrowding, cost burden, and income diversity to achieve a full understanding of displacement risk.If you see a tract or area that does not seem right, please fill out this form to help UDP ground-truth the method and improve their model.How should I read the displacement map layers?The AFFH Data Viewer includes three separate displacement layers that were generated by the EDR model. The “50-80% AMI” layer shows the level of displacement risk for low-income (LI) households specifically. Since UDP has reason to believe that the data may not accurately capture extremely low-income (ELI) households due to the difficulty in counting this population, UDP combined ELI and very low-income (VLI) household predictions into one group—the “0-50% AMI” layer—by opting for the more “extreme” displacement scenario (e.g., if a tract was categorized as “Elevated” for VLI households but “Extreme” for ELI households, UDP assigned the tract to the “Extreme” category for the 0-50% layer). For these two layers, tracts are assigned to one of the following categories, with darker red colors representing higher displacement risk and lighter orange colors representing less risk:• Low Data Quality: the tract has less than 500 total households and/or the census margins of error were greater than 15% of the estimate (shaded gray).• Lower Displacement Risk: the model estimates that the loss of low-income households is less than the gain in low-income households. However, some of these areas may have small pockets of displacement within their boundaries. • At Risk of Displacement: the model estimates there is potential displacement or risk of displacement of the given population in these tracts.• Elevated Displacement: the model estimates there is a small amount of displacement (e.g., 10%) of the given population.• High Displacement: the model estimates there is a relatively high amount of displacement (e.g., 20%) of the given population.• Extreme Displacement: the model estimates there is an extreme level of displacement (e.g., greater than 20%) of the given population. The “Overall Displacement” layer shows the number of income groups experiencing any displacement risk. For example, in the dark red tracts (“2 income groups”), the model estimates displacement (Elevated, High, or Extreme) for both of the two income groups. In the light orange tracts categorized as “At Risk of Displacement”, one or all three income groups had to have been categorized as “At Risk of Displacement”. Light yellow tracts in the “Overall Displacement” layer are not experiencing UDP’s definition of displacement according to the model. Some of these yellow tracts may be majority low-income experiencing small to significant growth in this population while in other cases they may be high-income and exclusive (and therefore have few low-income residents to begin with). One major limitation to the model is that the migration data UDP uses likely does not capture some vulnerable populations, such as undocumented households. This means that some yellow tracts may be experiencing high rates of displacement among these types of households. MethodologyThe EDR is a first-of-its-kind model that uses machine learning and household level data to predict displacement. To create the EDR, UDP first joined household-level data from Data Axle (formerly Infogroup) with tract-level data from the 2014 and 2019 5-year American Community Survey; Affirmatively Furthering Fair Housing (AFFH) data from various sources compiled by California Housing and Community Development; Longitudinal Employer-Household Dynamics (LEHD) Origin-Destination Employment Statistics (LODES) data; and the Environmental Protection Agency’s Smart Location Database.UDP then used a machine learning model to determine which variables are most strongly related to displacement at the household level and to predict tract-level displacement risk statewide while controlling for region. UDP modeled displacement risk as the net migration rate of three separate renter households income categories: extremely low-income (ELI), very low-income (VLI), and low-income (LI). These households have incomes between 0-30% of the Area Median Income (AMI), 30-50% AMI, and 50-80% AMI, respectively. Tracts that have a predicted net loss within these groups are considered to experience displacement in three degrees: elevated, high, and extreme. UDP also includes a “At Risk of Displacement” category in tracts that might be experiencing displacement.What are the main limitations of this map?1. Because the map uses 2019 data, it does not reflect more recent trends. The pandemic, which started in 2020, has exacerbated income inequality and increased housing costs, meaning that UDP’s map likely underestimates current displacement risk throughout the state.2. The model examines displacement risk for renters only, and does not account for the fact that many homeowners are also facing housing and gentrification pressures. As a result, the map generally only highlights areas with relatively high renter populations, and neighborhoods with higher homeownership rates that are known to be experiencing gentrification and displacement are not as prominent as one might expect.3. The model does not incorporate data on new housing construction or infrastructure projects. The map therefore does not capture the potential impacts of these developments on displacement risk; it only accounts for other characteristics such as demographics and some features of the built environment. Two of UDP’s other studies—on new housing construction and green infrastructure—explore the relationships between these factors and displacement.Variable ImportanceFigures 1, 2, and 3 show the most important variables for each of the three models—ELI, VLI, and LI. The horizontal bars show the importance of each variable in predicting displacement for the respective group. All three models share a similar order of variable importance with median rent, percent non-white, rent gap (i.e., rental market pressure calculated using the difference between nearby and local rents), percent renters, percent high-income households, and percent of low-income households driving much of the displacement estimation. Other important variables include building types as well as economic and socio-demographic characteristics. For a full list of the variables included in the final models, ranked by descending order of importance, and their definitions see all three tabs of this spreadsheet. “Importance” is defined in two ways: 1. % Inclusion: The average proportion of times this variable was included in the model’s decision tree as the most important or driving factor.2. MeanRank: The average rank of importance for each variable across the numerous model runs where higher numbers mean higher ranking. Figures 1 through 3 below show each of the model variable rankings ordered by importance. The red lines represent Jenks Breaks, which are designed to sort values into their most “natural” clusters. Variable importance for each model shows a substantial drop-off after about 10 variables, meaning a relatively small number of variables account for a large amount of the predictive power in UDP’s displacement model.Figure 1. Variable Importance for Low Income HouseholdsFor a description of each variable and its source, see this spreadsheet.Figure 2. Variable Importance for Very Low Income HouseholdsFor a description of each variable and its source, see this spreadsheet. Figure 3. Variable Importance for Extremely Low Income HouseholdsFor a description of each variable and its source, see this spreadsheet.Source: Chapple, K., & Thomas, T., and Zuk, M. (2022). Urban Displacement Project website. Berkeley, CA: Urban Displacement Project.(1) UDP used this time-frame because (a) the 2020 census had a large non-response rate and it implemented a new statistical modification that obscures and misrepresents racial and economic characteristics at the census tract level and (b) pandemic mobility trends are still in flux and UDP believes 2019 is more representative of “normal” or non-pandemic displacement trends.
Local authorities compiling this data or other interested parties may wish to see notes and definitions for house building which includes P2 full guidance notes.
Data from live tables 253 and 253a is also published as http://opendatacommunities.org/def/concept/folders/themes/house-building" class="govuk-link">Open Data (linked data format).
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License information was derived automatically
1999 Affordable Housing by area 1999 to 2013. Published by Department of Housing, Local Government, and Heritage. Available under the license Creative Commons Attribution Share-Alike 4.0 (CC-BY-SA-4.0).Affordable Housing (1999) scheme was introduced in March 1999.
The figures for Affordable Housing exclude Part V, Planning and Development Acts 2000 - 2006.
Data for 2014 is available on the website
The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change.
...
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License information was derived automatically
This dataset represents affordable housing development/preservation that is supported by the State of Connecticut Department of Housing. It includes units that have been completed under the current administration and when, or are actively under construction.
*Completion dates/percentages for HTCC only developments are based upon the most recently submitted quarterly statements. *Projects labeled as "Under Construction" include those that have had reported greater than 0% completed. *Projects labeled as "In Progress" include those that have received funding commitments but have not yet reported a % complete. * In some cases the Total DOH & CHFA funding exceeds Total Project Cost due to CHFA construction financing. *Only projects with a Board Approval (or application date if Board Approval N/A), Initial Close, Final Close or Construction Completion % date after 1/1/19 are to be included on list *Any Subtotal/Total amounts may be inflated due to multiple applications being captured for a single project *All projects specified as Family in the "Family or Elderly" column are non-age restrictive *Projects that have Final Closed prior to 2019 are not shown *Projects that were approved for funding or under construction but not yet complete, prior to 2019 are included *Total Equity is an aggregate of 4%, 9%, SHPO, & HTCC equities
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The India Residential Real Estate Market is experiencing robust growth, projected to reach a market size of $227.26 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 24.77% from 2025 to 2033. This expansion is driven by several factors, including a burgeoning middle class with increasing disposable incomes, favorable government policies promoting affordable housing, and urbanization trends leading to a significant demand for residential properties across major metropolitan areas. The market is segmented into Condominiums and Apartments and Villas and Landed Houses, with both segments contributing significantly to overall growth. Key players such as DLF, Oberoi Realty, and Godrej Properties are shaping the market landscape through large-scale projects and innovative offerings. However, challenges remain, including high construction costs, regulatory complexities, and land acquisition hurdles, which could potentially moderate growth in certain regions. The forecast suggests continued market expansion, particularly in high-growth urban centers, fueled by ongoing infrastructure development and improved connectivity. The competitive landscape is intense, with both established players and new entrants vying for market share. The increasing preference for luxury apartments and sustainable housing options presents opportunities for developers to cater to evolving consumer preferences. Government initiatives focusing on affordable housing schemes are expected to further stimulate demand, particularly in the affordable housing segment. The market's trajectory suggests a positive outlook, although careful consideration of macroeconomic factors and potential risks is crucial for informed decision-making. Continued monitoring of evolving consumer preferences, technological advancements, and regulatory changes will be essential for sustained success in this dynamic market. This report provides a detailed analysis of the Indian residential real estate market, covering the historical period (2019-2024), the base year (2025), and forecasting the market's trajectory until 2033. It delves into market size, segmentation, key trends, growth drivers, challenges, and significant developments, offering valuable insights for investors, developers, and stakeholders. The report leverages data encompassing condominiums and apartments, villas and landed houses, and examines the impact of key players and regulatory changes. This in-depth analysis will help you navigate the complexities of this dynamic market and make informed decisions. Recent developments include: October 2022- Shriram Properties Ltd and ASK Property Fund agreed to establish an INR 500 crore (USD 608.98 million) investment platform to acquire housing projects. Both companies have signed an agreement to establish an investment platform to acquire residential real estate projects. Shriram and ASK will co-invest in plotted residential development projects in Bengaluru, Chennai, and Hyderabad as part of the platform agreement., October 2022- Magnolia Quality Development Corporation (MQDC), a Bangkok-based property development firm, was in talks with multiple landowners to acquire a large plot for a residential project in the NCR. The company plans to launch its flagship luxury residential real estate project in India and is discussing a possible transaction with property consultants and developers.. Key drivers for this market are: Growing urban population driving the growth of transportation infrastructure., Sultanate's Economic Diversification Plan (Vision 2040) to provide new growth to the market. Potential restraints include: Delay in project approvals, High cost of materials. Notable trends are: Increasing Demand for Big Residential Spaces Driving the Market.
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The Malaysian residential property market, valued at approximately RM22.41 billion in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 5.90% from 2025 to 2033. This expansion is driven by several key factors. Firstly, a growing population and increasing urbanization, particularly in major cities like Kuala Lumpur, Johor Bahru, George Town, and Seberang Perai, fuel the demand for housing. Secondly, government initiatives aimed at improving affordability and infrastructure development are stimulating market activity. Finally, the ongoing diversification of the Malaysian economy and rising disposable incomes contribute to increased purchasing power among potential homebuyers. The market is segmented into apartments and condominiums, and landed houses and villas, catering to diverse preferences and budget levels. Leading developers such as Platinum Victory, Matrix Concepts Holdings Bhd, Mah Sing Group Bhd, Sime Darby Property, IGB Berhad, IOI Properties, Glomac Bhd, S P Setia, UEM Sunrise, and Eco World Development Group Berhad are key players shaping the market landscape. However, challenges remain, including potential interest rate fluctuations, material cost increases, and ongoing regulatory changes which could influence market growth. Despite these challenges, the long-term outlook for the Malaysian residential property market remains positive. Continued economic growth and infrastructure improvements, alongside government policies supporting affordable housing, are likely to sustain demand. The diverse range of property types available, from high-rise apartments to luxurious villas, ensures the market caters to a broad spectrum of buyers. Strategic investments by developers in innovative designs, sustainable building practices, and integrated community developments will be crucial for capturing market share and navigating the evolving needs of the Malaysian residential property sector. The ongoing focus on strengthening the economy and improving living standards will act as a significant catalyst for further growth in the years to come. This report provides a detailed analysis of the Malaysia residential property market, covering the period from 2019 to 2033. We delve into market trends, growth drivers, and challenges, offering valuable insights for investors, developers, and industry stakeholders. The study encompasses key segments including apartments and condominiums, landed houses and villas, and focuses on major cities like Kuala Lumpur, Johor Bahru, George Town, and Seberang Perai. The base year is 2025, with estimations for 2025 and forecasts extending to 2033, based on historical data from 2019-2024. Disclaimer: This report description is a template. It requires additional market research data to be completely filled. Specific numbers and deeper analyses would be included in the full report. Recent developments include: December 2022: The south-east Asian real estate technology company, The PropertyGuru Group, has finalized the acquisition of iProperty Malaysia. Given that two brands (PropertyGuru and iProperty) are merging, they currently have a huge duty. The acquisition enables them to concentrate on what they believe is necessary to support their clients, and they aim to provide them with even more value., April 2022: Global real estate firm Knight Frank Malaysia expands its presence in the residential property market in Malaysia with the acquisition of Property Hub Sdn Bhd.. Key drivers for this market are: 4., Increasing Residential Real Estate Demand by Young People4.; Increase in Average Housing Price in Mexico. Potential restraints include: 4., Lack of Affordable Housing Inhibiting the Growth of the Market4.; Economic Instability Affecting the Growth of the Market. Notable trends are: Increase in Urbanization Boosting Demand for Residential Real Estate.
Myanmar Residential Real Estate Market Size 2025-2029
The residential real estate market in Myanmar size is forecast to increase by USD 233.2 million at a CAGR of 4.7% between 2024 and 2029.
The market is experiencing significant growth, particularly in emerging markets such as Myanmar, driven by the expanding residential sector. The integration of technology in property management, including the use of smart sensors and automation, is a key trend transforming the industry. However, regulatory uncertainty remains a challenge, necessitating close monitoring of changes and their potential impact on the market.
In the construction sector, the adoption of concrete watch technology is gaining traction, enhancing the durability and quality of buildings. Real Estate Investment Trusts (REITs) continue to be a significant player In the market, offering investors stable returns. Overall, the market is poised for growth, with technology and regulatory factors shaping its trajectory.
What will be the Size of the market During the Forecast Period?
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The market continues to evolve, shaped by various factors influencing urban areas worldwide. Essential services and infrastructure, including transportation systems and functional infrastructure, remain crucial elements driving demand for urban living. Urban sustainability and the development of new metropolises and cities are gaining momentum, with a focus on tall structures and affordable housing solutions. Economic growth and living levels are key factors influencing the market's size and direction. Despite the overall positive trend, economic headwinds and poor management in some areas can lead to imbalances In the demand-supply equation. First-time buyers face challenges in securing real estate loans due to rising mortgage rates and transactional taxes.
Central banks and governments implement measures to stabilize the market, including adjusting mortgage interest rates and promoting inexpensive housing schemes. The industrial regions' growth and the establishment of new urban areas contribute to increasing transaction volumes, with a growing emphasis on urban planning and efficient decision-making processes. However, the market's dynamics are complex, with various factors influencing property values and the homeownership rate. Informal settlements and poor management in some areas can hinder the market's growth and stability.
How is this market segmented and which is the largest segment?
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Type
Landed houses and villas
Apartments and condominiums
Mode Of Booking
Sales
Rental/Lease
Geography
Myanmar
By Type Insights
The landed houses and villas segment is estimated to witness significant growth during the forecast period.
The market is primarily driven by the demand for landed houses and villas. These properties, which accounted for the largest market share in 2024, offer a unique blend of community and privacy. Villas, specifically, are standalone houses with a veranda or yard, typically located in exclusive areas. They provide a sense of community while maintaining privacy, distinguishing them from flats. In contrast, landed houses are stand-alone dwellings that can be constructed on any type of land. Property tax implications, investor confidence, and housing affordability significantly impact the market. Property value fluctuations, home sellers, and housing supply also play crucial roles.
Urban planning strategies, such as sustainable housing development and urban regeneration, are essential to address affordability and urban mobility concerns. Real estate investment trends, including home renovation, property management services, and data analysis, are shaping the market. Smart home technology and urban design are also influencing housing demand. City branding, competitiveness, and resilience are key factors in urban development and planning. Infrastructure development, sustainable urbanism, and economic diversification are essential for creating smart cities and addressing urban sprawl.
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Market Dynamics
Our Market researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
What are the key market drivers leading to the rise in the adoption of the Myanmar Residential Real Estate Market?
The growing residential sector in Myanmar is the key driver of the market. The market experiences continuous growth due to the increasing construction of various typ
Number of provincially, territorially, regionally and municipally owned social and affordable housing assets for all provinces and territories.
In 2023, there were approximately 45 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 86 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.
This dataset and map service provides information on the U.S. Housing and Urban Development's (HUD) low to moderate income areas. The term Low to Moderate Income, often referred to as low-mod, has a specific programmatic context within the Community Development Block Grant (CDBG) program. Over a 1, 2, or 3-year period, as selected by the grantee, not less than 70 percent of CDBG funds must be used for activities that benefit low- and moderate-income persons. HUD uses special tabulations of Census data to determine areas where at least 51% of households have incomes at or below 80% of the area median income (AMI). This dataset and map service contains the following layer.
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The Indian real estate market, valued at $330 million in 2025, is projected for robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 25.60% from 2025 to 2033. This expansion is fueled by several key drivers. Increasing urbanization and a burgeoning middle class are creating significant demand for residential properties across various segments, including affordable housing, luxury apartments, and villas. The growth of the IT and ITeS sectors, coupled with robust foreign direct investment (FDI) inflows, is bolstering the office and commercial real estate segments. Government initiatives promoting affordable housing and infrastructure development further contribute to this positive trajectory. However, challenges remain. High land costs, complex regulatory processes, and cyclical economic fluctuations pose potential restraints. The market is segmented by property type (residential, office, retail, hospitality, industrial), with residential real estate currently dominating the market share. Key players like DLF, Sobha Limited, and Prestige Estates Projects Ltd. are actively shaping the market landscape through innovative projects and strategic expansions. The regional distribution of the market shows a concentration in major metropolitan areas, although secondary cities are experiencing increasing activity. Looking ahead, the Indian real estate market presents both significant opportunities and challenges. The sustained growth in the economy, coupled with supportive government policies, is likely to propel continued expansion. However, developers need to adapt to evolving consumer preferences, focusing on sustainability, smart technologies, and affordable options. Effective risk management strategies are crucial to navigate the inherent cyclicality of the real estate market. The focus on transparency and efficient regulatory frameworks will be instrumental in fostering a more stable and sustainable real estate sector, attracting both domestic and international investors. Data suggests that the residential sector will continue to lead the growth trajectory, driven by the increasing demand for housing in rapidly developing urban centers. The diversification across property types and geographical regions is expected to mitigate risk and ensure a balanced market growth. This comprehensive report provides an in-depth analysis of the Indian real estate market, covering the period from 2019 to 2033, with a focus on the year 2025. It delves into market size, segmentation, key trends, and future growth projections, offering invaluable insights for investors, developers, and industry stakeholders. The report uses data from the historical period (2019-2024), the base year (2025), and forecasts for the period 2025-2033. High-search-volume keywords like Indian real estate market, Indian property market trends, residential real estate India, commercial real estate India, and Indian real estate investment are strategically integrated throughout. Recent developments include: March 2024: Mahindra Lifespaces, the real estate and infrastructure development arm of the Mahindra Group, completed the acquisition of a 9.4-acre land parcel in Whitefield, Bengaluru. The land, with a potential floor space index (FSI) of approximately 1.2 million sq ft, is estimated to have a Gross Development Value (GDV) of INR 1700 crore (USD 20.39 million). The development primarily focuses on mid-premium residential apartments. Mahindra Lifespaces plans to kickstart the project's inaugural phase within a year., February 2024: Dholera Smart City, an ambitious greenfield project in Gujarat, India, is on a mission to establish an economically vibrant and eco-friendly urban hub. As of now, about 30% of the Phase 1 infrastructure is already in place, and prospective buyers can now invest in residential plots and villas. The authorities are eyeing a completion timeline of 2024-2025 for Phase 1, with subsequent phases slated for future expansion.. Key drivers for this market are: Government Initiatives are Driving the Market, Demand for Luxury Apartments is Rising. Potential restraints include: High-interest Rates. Notable trends are: Increasing Demand for Affordable Housing.
The house price-to-income ratio in Australia was 122.1 as of the third quarter of 2024. This ratio, calculated by dividing nominal house prices by nominal disposable income per head, increased from the previous quarter. The price-to-income ratio can be used to measure housing affordability in a specific area. Australia's property bubble There has been considerable debate over the past decade about whether Australia is in a property bubble or not. A property bubble refers to a sharp increase in the price of property that is disproportional to income and rental prices, followed by a decline. In Australia, rising house prices have undoubtedly been an issue for many potential homeowners, pricing them out of the market. Along with the average house price, high mortgage interest rates have exacerbated the issue. Is the homeownership dream out of reach? Housing affordability has varied across the different states and territories in Australia. In 2024, the median value of residential houses was the highest in Sydney compared to other major Australian cities, with Brisbane becoming an increasingly expensive city. Nonetheless, expected interest rate cuts in 2025, alongside the expansion of initiatives to improve Australia's dwelling stock, social housing supply, and first-time buyer accessibility to properties, may start to improve the situation. These encompass initiatives such as the Australian government's Help to Buy scheme and the Housing Australia Future Fund Facility (HAFFF) and National Housing Accord Facility (NHAF) programs.
These tables are best understood in relation to the Affordable housing supply statistics bulletin. These tables always reflect the latest data and revisions, which may not be included in the bulletins. Headline figures are presented in live table 1000.
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