In 2023, the national median spent on a major master bathroom remodel project cost about ****** U.S. dollars. ** percent of all U.S. homeowners decided to change the layout of their master bathroom as part of the renovations that year.

The residential remodeling industry has expanded solidly over the past five years. Notably impacted by increased investments in housing by private equity, remodelers have experienced a surge in demand, particularly from property managers and developers looking to transform low-cost, investor-owned homes into appealing rental properties. However, remodelers have faced headwinds as inflation and interest rate hikes tempered enthusiasm for larger projects. Despite these challenges, the steady rise in home prices and an appetite for improving existing residences have helped sustain the momentum for remodelers. Revenue has been increasing at a CAGR of 2.9% over the past five years to total an estimated $164.5 billion in 2025, including an estimated increase of 0.2% in 2025. Fewer housing starts, because of high interest rates, have increased the demand for renovation activity as buyers looked to enhance existing properties rather than invest in new ones. However, remodelers have had to contend with rising costs of building materials and escalating wage costs driven by labor shortages and an aging workforce. Competition within the industry has intensified, with many remodelers prioritizing growth in clientele even at the cost of reduced profit. Legislation, like the Inflation Reduction Act, provided a boost, driving demand for energy-efficient renovations. Also, despite a considerable increase in DIY projects in 2020 and 2021, remodelers regained considerable market share in 2023. Residential remodelers will continue to enjoy growth. Expected interest rate cuts will likely spur greater investment in larger renovation projects as homeowners tap into second mortgages to finance expansive remodels. With home prices still on an upward trajectory, consumers are expected to prioritize renovations to add value to their properties. Also, ongoing climate challenges, including increased wildfires and hurricanes, will present additional opportunities for remodelers to engage in repair and restoration projects. As innovative technologies like smart home systems and 3D printing become more prevalent, remodelers stand to benefit by meeting the growing demand for sustainable and customized renovations. However, they will continue to be forced to navigate challenges such as rising costs and tariffs in a competitive landscape that demands adaptability and innovation. Also, the expiration of tax credits may hinder growth. Industry revenue is forecast to increase at a CAGR of 1.8% to total an estimated $180.3 billion through the end of 2030.

This data collection provides information on the characteristics of a national sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units in 2009. The data are presented in eight separate parts: Part 1, Home Improvement Record, Part 2, Journey to Work Record, Part 3, Mortgages Recorded, Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner of Rental Units Record, Part 6, Person Record, Part 7, High Burden Unit Record, and Part 8, Recent Mover Groups Record. Part 1 data include questions about upgrades and remodeling, cost of alterations and repairs, as well as the household member who performed the alteration/repair. Part 2 data include journey to work or commuting information, such as method of transportation to work, length of trip, and miles traveled to work. Additional information collected covers number of hours worked at home, number of days worked at home, average time respondent leaves for work in the morning or evening, whether respondent drives to work alone or with others, and a few other questions pertaining to self-employment and work schedule. Part 3 data include mortgage information, such as type of mortgage obtained by respondent, amount and term of mortgages, as well as years needed to pay them off. Other items asked include monthly payment amount, reason mortgage was taken out, and who provided the mortgage. Part 4 data include household-level information, including demographic information, such as age, sex, race, marital status, income, and relationship to householder. The following topics are also included: data recodes, unit characteristics, and weighting information. Part 5 data include information pertaining to owners of rental properties and whether the owner/resident manager lives on-site. Part 6 data include individual person level information, in which respondents were queried on basic demographic information (i.e. age, sex, race, marital status, income, and relationship to householder), as well as if they worked at all last week, month and year moved into residence, and their ability to perform everyday tasks and whether they have difficulty hearing, seeing, and concentrating or remembering things. Part 7 data include verification of income to cost when the ratio of income to cost is outside of certain tolerances. Respondents were asked whether they receive help or assistance with grocery bills, clothing and transportation expenses, child care payments, medical and utility bills, as well as with rent payments. Part 8 data include recent mover information, such as how many people were living in last unit before move, whether last residence was a condo or a co-op, as well as whether this residence was outside of the United States.

The United States home construction market, valued at approximately $700 billion in 2025, is experiencing robust growth, projected to maintain a compound annual growth rate (CAGR) exceeding 3% through 2033. This expansion is fueled by several key factors. Firstly, a persistent housing shortage, particularly in desirable urban areas like New York City, Los Angeles, and San Francisco, continues to drive demand. Secondly, favorable demographic trends, including millennial household formation and an increasing preference for homeownership, are bolstering the sector. Furthermore, low interest rates (though this is subject to change depending on economic conditions) have historically made mortgages more accessible, stimulating construction activity. However, the market isn't without its challenges. Rising material costs, labor shortages, and supply chain disruptions continue to exert upward pressure on construction prices, potentially impacting affordability and slowing growth in certain segments. The market is segmented by dwelling type (apartments & condominiums, villas, other), construction type (new construction, renovation), and geographic location, with significant activity concentrated in major metropolitan areas. The dominance of large national builders like D.R. Horton, Lennar Corp, and PulteGroup highlights the industry's consolidation trend, while the growth of multi-family construction reflects shifting urban preferences. Looking ahead, the market's trajectory will depend on macroeconomic factors, interest rate fluctuations, government policies impacting housing affordability, and the ability of the industry to address supply-chain and labor challenges. Innovation in construction technologies, sustainable building practices, and prefabricated homes are also emerging trends expected to significantly influence market dynamics over the forecast period. The competitive landscape is characterized by a mix of large publicly traded companies and smaller regional builders. While established players dominate the market share, opportunities exist for smaller firms specializing in niche markets, such as sustainable or luxury home construction, or those focused on specific geographic areas. The ongoing expansion of the market signifies significant potential for investment and growth, despite the hurdles currently impacting the sector. Addressing supply chain disruptions and labor shortages will be crucial for sustained growth. Continued demand in key urban centers and evolving consumer preferences toward specific dwelling types will be critical factors determining the market's future trajectory. Recent developments include: June 2022 - Pulte Homes - a national brand of PulteGroup, Inc. - announced the opening of its newest Boston-area community, Woodland Hill. Offering 46 new construction single-family homes in the charming town of Grafton, the community is conveniently located near schools, dining, and entertainment, with the Massachusetts Bay Transportation Authority commuter rail less than a mile away. The collection of home designs at Woodland Hill includes three two-story floor plans, ranging in size from 3,013 to 4,019 sq. ft. with four to six bedrooms, 2.5-3.5 baths, and 2-3 car garages. These spacious home designs feature flexible living spaces, plenty of natural light, gas fireplaces, and the signature Pulte Planning Center®, a unique multi-use workstation perfect for homework or a family office., December 2022 - D.R. Horton, Inc. announced the acquisition of Riggins Custom Homes, one of the largest builders in Northwest Arkansas. The homebuilding assets of Riggins Custom Homes and related entities (Riggins) acquired include approximately 3,000 lots, 170 homes in inventory, and 173 homes in the sales order backlog. For the trailing twelve months ended November 30, 2022, Riggins closed 153 homes (USD 48 million in revenue) with an average home size of approximately 1,925 square feet and an average sales price of USD 313,600. D.R. Horton expects to pay approximately USD 107 million in cash for the purchase, and the Company plans to combine the Riggins operations with the current D.R. Horton platform in Northwest Arkansas.. Notable trends are: High-interest Rates are Negatively Impacting the Market.

This statistic shows a ranking of the estimated real total consumer spending on furnishings, household equipment and routine maintenance of the house in 2020 in Latin America and the Caribbean, differentiated by country. Consumer spending here refers to the domestic demand of private households and non-profit institutions serving households (NPISHs) in the selected region. Spending by corporations or the state is not included. Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group 05. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.The shown forecast is adjusted for the expected impact of the COVID-19 pandemic on the local economy. The impact has been estimated by considering both direct (e.g. because of restrictions on personal movement) and indirect (e.g. because of weakened purchasing power) effects. The impact assessment is subject to periodic review as more data becomes available.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

The real total consumer spending on household upkeep in Uruguay was forecast to continuously increase between 2024 and 2029 by in total 322.7 million U.S. dollars (+16.75 percent). After the ninth consecutive increasing year, the real spending on household upkeep is estimated to reach 2.2 billion U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case concerning furnishings, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP).The shown data adheres broadly to group 05. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.Find more key insights for the real total consumer spending on household upkeep in countries like Chile and Paraguay.

United States RMI: sa: CM: Medium Remodeling Projects data was reported at 72.000 Point in Mar 2025. This records a decrease from the previous number of 73.000 Point for Dec 2024. United States RMI: sa: CM: Medium Remodeling Projects data is updated quarterly, averaging 78.000 Point from Mar 2020 (Median) to Mar 2025, with 21 observations. The data reached an all-time high of 92.000 Point in Sep 2021 and a record low of 58.000 Point in Mar 2020. United States RMI: sa: CM: Medium Remodeling Projects data remains active status in CEIC and is reported by National Association of Home Builders. The data is categorized under Global Database’s United States – Table US.EB: NAHB/Westlake Royal Remodeling Market Index.

The real total consumer spending on household upkeep in Ecuador was forecast to continuously increase between 2024 and 2029 by in total 398.8 million U.S. dollars (+13.86 percent). After the ninth consecutive increasing year, the real spending on household upkeep is estimated to reach 3.3 billion U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case concerning furnishings, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP).The shown data adheres broadly to group 05. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.Find more key insights for the real total consumer spending on household upkeep in countries like Peru and Bolivia.

This data collection is part of the American Housing Metropolitan Survey (AHS-MS, or "metro") which is conducted in odd-numbered years. It cycles through a set of 21 metropolitan areas, surveying each one about once every six years. The metro survey, like the national survey, is longitudinal. This particular survey provides information on the characteristics of a Seattle metropolitan sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units in 2009. The data are presented in eight separate parts: Part 1, Home Improvement Record, Part 2, Journey to Work Record, Part 3, Mortgages Recorded, Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner of Rental Units Record, Part 6, Person Record, Part 7, High Burden Unit Record, and Part 8, Recent Mover Groups Record. Part 1 data include questions about upgrades and remodeling, cost of alterations and repairs, as well as the household member who performed the alteration/repair. Part 2 data include journey to work or commuting information, such as method of transportation to work, length of trip, and miles traveled to work. Additional information collected covers number of hours worked at home, number of days worked at home, average time respondent leaves for work in the morning or evening, whether respondent drives to work alone or with others, and a few other questions pertaining to self-employment and work schedule. Part 3 data include mortgage information, such as type of mortgage obtained by respondent, amount and term of mortgages, as well as years needed to pay them off. Other items asked include monthly payment amount, reason mortgage was taken out, and who provided the mortgage. Part 4 data include household-level information, including demographic information, such as age, sex, race, marital status, income, and relationship to householder. The following topics are also included: data recodes, unit characteristics, and weighting information. Part 5 data include information pertaining to owners of rental properties and whether the owner/resident manager lives on-site. Part 6 data include individual person level information, in which respondents were queried on basic demographic information (i.e. age, sex, race, marital status, income, and relationship to householder), as well as if they worked at all last week, month and year moved into residence, and their ability to perform everyday tasks and whether they have difficulty hearing, seeing, and concentrating or remembering things. Part 7 data include verification of income to cost when the ratio of income to cost is outside of certain tolerances. Respondents were asked whether they receive help or assistance with grocery bills, clothing and transportation expenses, child care payments, medical and utility bills, as well as with rent payments. Part 8 data include recent mover information, such as how many people were living in last unit before move, whether last residence was a condo or a co-op, as well as whether this residence was outside of the United States.

This data collection is part of the American Housing Metropolitan Survey (AHS-MS, or "metro") which is conducted in odd-numbered years. It cycles through a set of 21 metropolitan areas, surveying each one about once every six years. The metro survey, like the national survey, is longitudinal. This particular survey provides information on the characteristics of a New Orleans metropolitan sample of housing units, including apartments, single-family homes, mobile homes, and vacant housing units in 2009. The data are presented in eight separate parts: Part 1, Home Improvement Record, Part 2, Journey to Work Record, Part 3, Mortgages Recorded, Part 4, Housing Unit Record (Main Record), Recodes (One Record per Housing Unit), and Weights, Part 5, Manager and Owner of Rental Units Record, Part 6, Person Record, Part 7, High Burden Unit Record, and Part 8, Recent Mover Groups Record. Part 1 data include questions about upgrades and remodeling, cost of alterations and repairs, as well as the household member who performed the alteration/repair. Part 2 data include journey to work or commuting information, such as method of transportation to work, length of trip, and miles traveled to work. Additional information collected covers number of hours worked at home, number of days worked at home, average time respondent leaves for work in the morning or evening, whether respondent drives to work alone or with others, and a few other questions pertaining to self-employment and work schedule. Part 3 data include mortgage information, such as type of mortgage obtained by respondent, amount and term of mortgages, as well as years needed to pay them off. Other items asked include monthly payment amount, reason mortgage was taken out, and who provided the mortgage. Part 4 data include household-level information, including demographic information, such as age, sex, race, marital status, income, and relationship to householder. The following topics are also included: data recodes, unit characteristics, and weighting information. Part 5 data include information pertaining to owners of rental properties and whether the owner/resident manager lives on-site. Part 6 data include individual person level information, in which respondents were queried on basic demographic information (i.e. age, sex, race, marital status, income, and relationship to householder), as well as if they worked at all last week, month and year moved into residence, and their ability to perform everyday tasks and whether they have difficulty hearing, seeing, and concentrating or remembering things. Part 7 data include verification of income to cost when the ratio of income to cost is outside of certain tolerances. Respondents were asked whether they receive help or assistance with grocery bills, clothing and transportation expenses, child care payments, medical and utility bills, as well as with rent payments. Part 8 data include recent mover information, such as how many people were living in last unit before move, whether last residence was a condo or a co-op, as well as whether this residence was outside of the United States.

United States RMI: Midwest: CM: Medium Remodeling Projects data was reported at 59.000 Point in Mar 2020. United States RMI: Midwest: CM: Medium Remodeling Projects data is updated quarterly, averaging 59.000 Point from Mar 2020 (Median) to Mar 2020, with 1 observations. United States RMI: Midwest: CM: Medium Remodeling Projects data remains active status in CEIC and is reported by National Association of Home Builders. The data is categorized under Global Database’s United States – Table US.EB067: Remodelling Market Index (New Methodology).

This statistic shows a ranking of the estimated total consumer spending on furnishings, household equipment and routine maintenance of the house in 2024 in Latin America and the Caribbean, differentiated by country. Consumer spending here refers to the domestic demand of private households and non-profit institutions serving households (NPISHs) in the selected region. Spending by corporations or the state is not included. Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP). The shown data adheres broadly to group 05. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data is shown in nominal terms, which means that monetary data is valued at prices of the respective year and has not been adjusted for inflation. For future years, the price level has been projected as well. The data has been converted from local currencies to US dollars using the average exchange rate of the respective year. For forecast years, the exchange rate has been projected as well. The timelines therefore incorporate currency effects.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

The global bathroom installation services market is experiencing robust growth, driven by increasing urbanization, rising disposable incomes, and a growing preference for modern and aesthetically pleasing bathrooms. The market size in 2025 is estimated at $150 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 6% from 2025 to 2033. This growth is fueled by several key trends, including the increasing popularity of smart bathroom technologies, eco-friendly fixtures, and customized bathroom designs. The residential sector (household installations) currently dominates the market, however, the commercial sector is expected to witness significant growth over the forecast period driven by new construction projects and renovations in hotels, hospitals, and commercial buildings. Segment-wise, toilet installations currently hold the largest market share, followed by shower installations and sink & faucet installations. However, the growth in smart home technology is expected to boost the demand for more complex installations, increasing the average revenue per installation. Key players in the market, such as Lowe's, Home Depot, and IKEA, are investing heavily in expanding their service offerings and strengthening their online presence to cater to the growing demand. Geographic regions like North America and Europe currently hold a larger market share, but rapid economic development in Asia Pacific is expected to fuel substantial growth in this region in the coming years. Challenges to market growth include fluctuating material costs, skilled labor shortages, and economic downturns. The market's competitive landscape is characterized by both large national and regional companies as well as numerous smaller independent installers. The fragmentation of the market presents opportunities for both established players and new entrants who can offer specialized services or tap into niche markets. The ongoing trend of DIY home improvements is also influencing the market, with consumers increasingly opting for partial installation services or purchasing supplies to execute parts of the process themselves. This necessitates businesses to offer a diverse range of services from full-scale installation to individual fixture replacements. Despite these challenges, the positive long-term outlook for the bathroom installation services market remains strong, driven by continuous demand for home improvements and the growing need for convenient and reliable professional installation services.

The Puerto Rico home mortgage finance market, while smaller than major global markets, exhibits significant growth potential driven by factors such as increasing population, government initiatives to boost homeownership, and fluctuating interest rates. The market's compound annual growth rate (CAGR) exceeding 1.50% suggests a steady, albeit moderate, expansion. Key market segments include home purchases, refinancing, and home improvements, with banks and housing finance companies acting as primary providers. Fixed-rate mortgages dominate the market, although adjustable-rate mortgages also play a role. While precise market size data for Puerto Rico is unavailable, a reasonable estimation, considering comparable Caribbean markets and the provided CAGR, would place the 2025 market size in the range of $500-700 million USD. This estimate incorporates the influence of factors such as economic conditions, government policies, and lending practices specific to Puerto Rico. Further growth is anticipated through 2033, driven by sustained demand for housing and continued government support. However, potential restraints such as economic instability, fluctuating interest rates, and stringent lending criteria could impact growth trajectory. The market's competitive landscape includes both local and international players, highlighting the presence of established institutions like Banco Popular and Scotia Bank alongside smaller credit unions. The geographic focus is primarily Puerto Rico itself. However, considering the data provided, the market analysis implicitly considers external influences, such as global interest rate trends and investment from larger financial institutions with operations in the region, influencing investment and loan availability. The provided list of companies indicates a presence of both national and international players further demonstrating the market’s dynamic and mixed nature. Future growth will likely depend on successfully navigating economic challenges and maintaining a stable and supportive regulatory environment. A focus on technological advancements within the mortgage application process and enhanced financial literacy programs may further enhance market expansion. Recent developments include: February 2023: Puerto Rico was expected to receive up to USD 109 million in funding under the State Small Business Credit Initiative (SSBCI) in President Biden's American Rescue Plan. The Treasury has now said that state and territory plans totaling over USD 6 billion in SSBCI funding have been approved. This is to help small businesses and entrepreneurs and make it easier to get access to capital., February 2023: The Consumer Financial Protection Bureau (CFPB) permanently banned RMK Financial Corporation, which does business as Majestic Home Loans, from the mortgage lending industry by prohibiting RMK from engaging in any mortgage lending activities or receiving remuneration from mortgage lending in Puerto Rico.. Notable trends are: Increase in Economic Growth and GDP per capita.

The real total consumer spending on household upkeep in Peru was forecast to continuously increase between 2024 and 2029 by in total 2.2 billion U.S. dollars (+13.7 percent). After the ninth consecutive increasing year, the real spending on household upkeep is estimated to reach 18.6 billion U.S. dollars and therefore a new peak in 2029. Consumer spending, in this case concerning furnishings, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP).The shown data adheres broadly to group 05. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.Find more key insights for the real total consumer spending on household upkeep in countries like Ecuador and Bolivia.

United States RMI: Northeast: CM: Medium Remodeling Projects data was reported at 70.000 Point in Mar 2020. United States RMI: Northeast: CM: Medium Remodeling Projects data is updated quarterly, averaging 70.000 Point from Mar 2020 (Median) to Mar 2020, with 1 observations. United States RMI: Northeast: CM: Medium Remodeling Projects data remains active status in CEIC and is reported by National Association of Home Builders. The data is categorized under Global Database’s United States – Table US.EB067: Remodelling Market Index (New Methodology).

The real total consumer spending on household upkeep in Chile was forecast to increase between 2024 and 2029 by in total 638.6 million U.S. dollars (+4.66 percent). This overall increase does not happen continuously, notably not in 2029. The real spending on household upkeep is estimated to amount to 14.3 billion U.S. dollars in 2029. Consumer spending, in this case concerning furnishings, refers to the domestic demand of private households and non-profit institutions serving households (NPISHs). Spending by corporations and the state is not included. The forecast has been adjusted for the expected impact of COVID-19.Consumer spending is the biggest component of the gross domestic product as computed on an expenditure basis in the context of national accounts. The other components in this approach are consumption expenditure of the state, gross domestic investment as well as the net exports of goods and services. Consumer spending is broken down according to the United Nations' Classification of Individual Consumption By Purpose (COICOP).The shown data adheres broadly to group 05. As not all countries and regions report data in a harmonized way, all data shown here has been processed by Statista to allow the greatest level of comparability possible. The underlying input data are usually household budget surveys conducted by government agencies that track spending of selected households over a given period.The data has been converted from local currencies to US$ using the average constant exchange rate of the base year 2017. The timelines therefore do not incorporate currency effects. The data is shown in real terms which means that monetary data is valued at constant prices of a given base year (in this case: 2017). To attain constant prices the nominal forecast has been deflated with the projected consumer price index for the respective category.Find more key insights for the real total consumer spending on household upkeep in countries like Uruguay and Paraguay.

The foreclosure rate in the United States has experienced significant fluctuations over the past two decades, reaching its peak in 2010 at **** percent following the financial crisis. Since then, the rate has steadily declined, with a notable drop to **** percent in 2021 due to government interventions during the COVID-19 pandemic. In 2024, the rate stood slightly higher at **** percent but remained well below historical averages, indicating a relatively stable housing market. Impact of economic conditions on foreclosures The foreclosure rate is closely tied to broader economic trends and housing market conditions. During the aftermath of the 2008 financial crisis, the share of non-performing mortgage loans climbed significantly, with loans 90 to 180 days past due reaching *** percent. Since then, the share of seriously delinquent loans has dropped notably, demonstrating a substantial improvement in mortgage performance. Among other things, the improved mortgage performance has to do with changes in the mortgage approval process. Homebuyers are subject to much stricter lending standards, such as higher credit score requirements. These changes ensure that borrowers can meet their payment obligations and are at a lower risk of defaulting and losing their home. Challenges for potential homebuyers Despite the low foreclosure rates, potential homebuyers face significant challenges in the current market. Homebuyer sentiment worsened substantially in 2021 and remained low across all age groups through 2024, with the 45 to 64 age group expressing the most negative outlook. Factors contributing to this sentiment include high housing costs and various financial obligations. For instance, in 2023, ** percent of non-homeowners reported that student loan expenses hindered their ability to save for a down payment.

United States RMI: sa: FM: Rate of Leads & Inquiries Coming In data was reported at 51.000 Point in Mar 2025. This records a decrease from the previous number of 62.000 Point for Dec 2024. United States RMI: sa: FM: Rate of Leads & Inquiries Coming In data is updated quarterly, averaging 62.000 Point from Mar 2020 (Median) to Mar 2025, with 21 observations. The data reached an all-time high of 82.000 Point in Sep 2021 and a record low of 28.000 Point in Mar 2020. United States RMI: sa: FM: Rate of Leads & Inquiries Coming In data remains active status in CEIC and is reported by National Association of Home Builders. The data is categorized under Global Database’s United States – Table US.EB: NAHB/Westlake Royal Remodeling Market Index.

In the United States, interest rates for all mortgage types started to increase in 2021. This was due to the Federal Reserve introducing a series of hikes in the federal funds rate to contain the rising inflation. In the second quarter of 2025, the 30-year fixed rate dropped slightly, to **** percent. The rate remained below the peak of **** percent in the fourth quarter of 2023. Why have U.S. home sales decreased? Cheaper mortgages normally encourage consumers to buy homes, while higher borrowing costs have the opposite effect. As interest rates increased in 2022, the number of existing homes sold plummeted. Soaring house prices over the past 10 years have further affected housing affordability. Between 2014 and 2024, the median price of an existing single-family home risen by about ** percent. On the other hand, the median weekly earnings have risen much slower. Comparing mortgage terms and rates Between 2008 and 2024, the average rate on a 15-year fixed-rate mortgage in the United States stood between **** and **** percent. Over the same period, a 30-year mortgage term averaged a fixed-rate of between **** and **** percent. Rates on 15-year loan terms are lower to encourage a quicker repayment, which helps to improve a homeowner’s equity.