Canada Mortgage and Housing Corporation's Housing Market Information portal offers free, easy-to-use access to the latest housing market data for Canada.

The table contains data on a quarterly and annual basis. Data for each quarter only took place during that quarter and is not cumulative for the year. Annual data represents a full year's worth of activity. The table contains compiled information for Peel, Brampton, Caledon, Mississauga, and the upper tier municipalities that make up the Greater Toronto Area (Durham, Halton, Peel, Toronto, and York). Data is compiled from CMHC's Housing Market Information Portal.Where the Quarter column is empty (either 0 or null), it represents the annual values for the complete year.DefinitionsStart - A Start is defined as the beginning of construction work on a building, usually when the concrete has been poured for the whole of the footing around the structure, or an equivalent stage where a basement will not be part of the structure.Completion - A Completion is defined as the stage at which all the proposed construction work on a dwelling unit has been performed, although under some circumstances a dwelling may be counted as completed where up to 10% of the proposed work remains to be done.Absorbed - An absorbed unit is a housing unit that has been sold and completed. A unit is considered sold when a binding contract is secured by a non-refundable deposit and has been signed by a qualified purchaser.Further InformationPeel Data Portal - Housing Construction ActivityCanada Mortgage and Housing Corporation (CMHC) - Housing Market Information Portal

The Housing Affordability Data System (HADS) is a set of files derived from the 1985 and later national American Housing Survey (AHS) and the 2002 and later Metro AHS. This system categorizes housing units by affordability and households by income, with respect to the Adjusted Median Income, Fair Market Rent (FMR), and poverty income. It also includes housing cost burden for owner and renter households. These files have been the basis for the worst case needs tables since 2001. The data files are available for public use, since they were derived from AHS public use files and the published income limits and FMRs. These dataset give the community of housing analysts the opportunity to use a consistent set of affordability measures. The most recent year HADS is available as a Public Use File (PUF) is 2013. For 2015 and beyond, HADS is only available as an IUF and can no longer be released on a PUF. Those seeking access to more recent data should reach to the listed point of contact.

Find the latest statistical housing information on starts, completions, and units under construction. The housing data is organized by Census subdivisions. You can also view monthly housing starts and construction data on our Housing Market Information Portal.

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The residential vacancy rate is the percentage of residential units that are unoccupied, or vacant, in a given year. The U.S. Census Bureau defines occupied housing units as “owner-occupied” or “renter-occupied.” Vacant housing units are not classified by tenure in this way, as they are not occupied by an owner or renter.

The residential vacancy rate serves as an indicator of the condition of the area’s housing market. Low residential vacancy rates indicate that demand for housing is high compared to the housing supply. However, the aggregate residential vacancy rate is lacking in granularity. For example, the housing market for rental units in the area and the market for buying a unit in the same area may be very different, and the aggregate rate will not show those distinct conditions. Furthermore, the vacancy rate may be high, or low, for a variety of reasons. A high vacancy rate may result from a falling population, but it may also result from a recent construction spree that added many units to the total stock.

The residential vacancy rate in Champaign County appears to have fluctuated between 8% and 14% from 2005 through 2022, reaching a peak near 14% in 2019. In 2023, this rate dropped to about 7%, its lowest value since 2005. However, this rate was calculated using the American Community Survey’s (ACS) estimated number of vacant houses per year, which has year-to-year fluctuations that are largely not statistically significant. Thus, we cannot establish a trend for this data.

The residential vacancy rate data shown here was calculated using the estimated total housing units and estimated vacant housing units from the U.S. Census Bureau’s American Community Survey 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Occupancy Status.

Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (17 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (25 September 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (4 October 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (8 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (8 June 2021).; U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using American FactFinder; (14 September 2017).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table SB25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).

The Power Battery System Housing market has emerged as a critical segment within the broader energy storage sector, crucial for the effective deployment and longevity of battery systems used in various applications, including electric vehicles (EVs), renewable energy storage, and portable electronic devices. Power b

The Connecticut Housing Data Hub is a public resource developed by the Office of Policy and Management (OPM), Department of Housing (DOH), and Department of Economic and Community Development (DECD). Data available on this site includes permitting and demolition data from DECD, housing stock from the American Community Survey, data on affordable housing collected by DOH, and housing market indicator data from RedFin.The dashboard centralizes various types of housing data into one comprehensive platform. It is not all encompassing, as there are still many of pieces of data, analyses, and perspectives that aren’t included here. The goal is to provide a starting point to understand an overview of housing in the state, and we offer resources and data sources for users to further explore the data.The dashboard is updated throughout the year. The data is processed and spatialized using Python and regularly updated in alignment with the underlying datasets. The feature layers and web maps used to create the dashboard are publicly available on the CT Geodata Portal.Key DetailsData Sources Referenced: demolition data from DECD, housing stock data from ACS 5-year, affordable housing data from DOH, housing market indicator data from RedFinData Owner: CT GIS OfficeMap Creator/Data Steward: Sarah Hurley (GIS Office)Update Frequency: Annually (last updated: v2.1 July 2025) For more information and full access to the Housing Dashboard, visit: https://geodata.ct.gov/pages/housing

The booming electric vehicle market fuels explosive growth in the power battery system housing market. Discover key trends, leading companies, and projected market value through 2033. Learn about regional market share and growth drivers in this in-depth analysis.

Snapshot img { margin: 10px !important; } About Housing Mortgage Mortgage is a debt instrument that the borrower is obliged to pay back with a fixed set of payments and is secured by the collateral of a specified real estate property. Mortgages enable individuals and businesses to make large real estate purchases without paying the entire value of the purchase in one go. Borrowers repay the loan along with interest over a period of many years until they eventually own the property free and clear. However, if borrowers stop paying the mortgage, the lender can foreclose and may evict the property’s owner and sell it, using the income from the sale to clear the mortgage debt. In a fixed-rate mortgage system, borrowers pay the same interest rate for the life of the loan. Most fixed-rate mortgages have a 15 or 30-year term. There is no influence on borrowers’ payment if market interest rates rise. However, if market interest rates decline significantly, borrowers may be able to secure that lower rate by means of refinancing the mortgage. TechNavio's analysts forecast the Housing Mortgage market in the US to grow at a CAGR of 1.75 percent over the period 2013-2018.Covered in this Report This report covers the present scenario and the growth prospects of the Housing Mortgage market in the US for the period 2014-2018. To calculate the market size, the report considers the loan volume of primary housing mortgage banks, credit unions, and financial institutions. It takes into consideration the various product segments such as Home Purchase, Home Improvement, and Refinancing. The report mentions the role played by Federal Government by the way of government-sponsored enterprises operating in the system. TechNavio's report, the Housing Mortgage Market in the US 2014-2018, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the US; it also covers the landscape of the Housing Mortgage market in the US and its growth prospects in the coming years. The report also includes a discussion of the key vendors operating in this market.Key Regions • USKey Vendors • Bank of America • Citigroup • JPMorgan Chase • U.S. Bancorp • Wells FargoOther Prominent Vendors • Ally Financial • Capital One Financial • Fifth Third Bancorp • Flagstar Bank, FSB • SunTrust Banks • Quicken Loans • Regions FinancialMarket Driver • Improved Demand for Home Loans • For a full, detailed list, view our reportMarket Challenge • Shrinking Lending Capacity • For a full, detailed list, view our reportMarket Trend • Less Incidence of Foreclosures • For a full, detailed list, view our reportKey Questions Answered in this Report • What will the market size be in 2018 and what will the growth rate be? • What are the key market trends? • What is driving this market? • What are the challenges to market growth? • Who are the key vendors in this market space? • What are the market opportunities and threats faced by the key vendors? • What are the strengths and weaknesses of the key vendors?

The rental housing developments listed below are among the thousands of affordable units that are supported by City of Chicago programs to maintain affordability in local neighborhoods. The list is updated periodically when construction is completed for new projects or when the compliance period for older projects expire, typically after 30 years. The list is provided as a courtesy to the public. It does not include every City-assisted affordable housing unit that may be available for rent, nor does it include the hundreds of thousands of naturally occurring affordable housing units located throughout Chicago without City subsidies. For information on rents, income requirements and availability for the projects listed, contact each property directly. For information on other affordable rental properties in Chicago and Illinois, call (877) 428-8844, or visit www.ILHousingSearch.org.

The size of the Power Battery System Housing market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX% during the forecast period.

The booming EV market fuels explosive growth in the power battery system housing market. Learn about market size, CAGR, key players (Hitachi, Nemak, Novelis), material trends (steel, aluminum), regional analysis, and future projections to 2033. Discover investment opportunities in this rapidly expanding sector.

The global Real Estate Management System market is projected to grow from USD XXX million in 2025 to USD XXX million by 2033, at a CAGR of XX% during the forecast period. The growth of the market is attributed to the increasing adoption of cloud-based solutions, the need for improved efficiency and productivity in real estate operations, and the growing demand for real-time data and analytics. Some of the key drivers of the market include the increasing complexity of real estate portfolios, the need for improved compliance and risk management, the growing adoption of smart building technologies, and the increasing demand for sustainability and energy efficiency in real estate. The market is also expected to benefit from the growing trend of urbanization and the increasing demand for affordable housing.

The global power battery system housing market is booming, projected to reach $10 billion by 2025 and maintain a strong CAGR of 15% through 2033. Driven by EV adoption and technological advancements, this market offers significant investment opportunities, despite challenges like raw material costs. Explore key market trends and leading companies in our comprehensive analysis.

Property Management System Integration Platform Market Outlook

According to our latest research, the global Property Management System Integration Platform market size reached USD 4.28 billion in 2024, driven by the rapid digital transformation across the real estate and hospitality sectors. The market is projected to expand at a robust CAGR of 13.6% from 2025 to 2033, reaching an estimated USD 13.19 billion by 2033. This growth is primarily fueled by increasing demand for centralized data management, automation of property-related operations, and the need for seamless integration of disparate property management tools.

One of the key growth factors propelling the Property Management System Integration Platform market is the rising adoption of cloud-based technologies. Organizations across residential, commercial, and hospitality domains are increasingly migrating to cloud platforms to enhance operational efficiency, data accessibility, and scalability. The proliferation of smart technologies and IoT devices within properties has further necessitated integrated platforms that can centralize control and streamline workflows. As property owners and managers seek to reduce manual interventions and human errors, the demand for robust integration platforms that can unify various property management functions—such as accounting, maintenance scheduling, tenant communications, and facility management—continues to surge.

Another significant driver is the growing complexity of property portfolios managed by enterprises and agencies. With the expansion of real estate investments, firms are managing diverse assets across multiple geographies and types, including residential complexes, commercial offices, hospitality venues, and industrial spaces. This complexity has increased the need for integration platforms that can offer real-time insights, facilitate data-driven decision-making, and ensure regulatory compliance. Advanced analytics, artificial intelligence, and machine learning capabilities embedded within modern integration platforms are empowering property managers to optimize asset performance, improve tenant satisfaction, and maximize returns on investment.

Furthermore, evolving tenant expectations and the competitive landscape in the property management industry are driving innovation in system integration platforms. Tenants now demand seamless digital experiences, from online rent payments to instant maintenance requests and personalized communications. Integration platforms that can bridge the gap between legacy property management systems and emerging digital solutions are witnessing heightened adoption. This trend is particularly evident among property managers and real estate agencies aiming to differentiate themselves by offering superior service levels, enhancing tenant retention, and gaining actionable insights from integrated data sources.

Regionally, North America continues to dominate the Property Management System Integration Platform market, accounting for the largest revenue share in 2024, followed closely by Europe and the Asia Pacific. The United States, in particular, is home to a mature real estate market with high digital adoption rates, while Europe is witnessing rapid uptake due to regulatory mandates and sustainability initiatives. Meanwhile, the Asia Pacific market is expected to exhibit the fastest growth over the forecast period, driven by urbanization, infrastructure development, and increasing investments in smart city projects. Latin America and the Middle East & Africa are also emerging as promising markets, fueled by rising awareness and the gradual digitization of property management practices.

Component Analysis

The Component segment of the Property Management System Integration Platform market is bifurcated into Software and Services. The software component dominates the market, accounting for a significant share due to the growing need for comprehensive platforms that streamline property

Explore the dynamic Tenant Management System market, valued at $320M in 2025 with a 3.4% CAGR. Discover key drivers, trends, restraints, and segment analysis for real estate, hotels, and resorts.

The global power battery system housing market is experiencing robust growth, driven by the burgeoning electric vehicle (EV) and hybrid vehicle (HV) sectors. The market size in 2025 is estimated at $15 billion, projecting a Compound Annual Growth Rate (CAGR) of 18% from 2025 to 2033. This significant expansion is fueled by several key factors: the increasing demand for EVs and HVs globally, stringent emission regulations pushing the adoption of cleaner transportation solutions, and continuous advancements in battery technology leading to higher energy density and improved performance. Steel and aluminum currently dominate the material segment, although the "Others" category, encompassing advanced materials like composites and plastics, is expected to witness substantial growth due to their lightweight and high-strength properties. The EV application segment holds the largest market share, reflecting the rapid expansion of the EV industry. Geographic distribution reveals a strong presence in Asia Pacific, particularly China, driven by its massive EV production and robust government support for the industry. North America and Europe also represent substantial markets, with significant growth potential in developing regions. However, challenges remain, including the high cost of raw materials and the complex manufacturing processes involved in producing high-quality battery housings. Furthermore, concerns related to the recyclability and environmental impact of battery housing materials are driving research and development in sustainable materials and manufacturing processes. Despite these hurdles, the market's overall trajectory points to sustained and impressive growth over the forecast period, making it an attractive sector for investors and manufacturers alike.