In 2023, the national median spent on a major master bathroom remodel project cost about 21,000 U.S. dollars. 38 percent of all U.S. homeowners decided to change the layout of their master bathroom as part of the renovations that year.

In 2022, the home improvement market in the United States generated the highest revenue in the world, amounting to over *** billion euros. It was followed by China with a turnover of around ***** billion euros.

The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting *** U.S. dollars per square foot in 2022. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.

This statistic shows a ranking of the estimated real per capita 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 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.

Housing Starts in the United States decreased to 1256 Thousand units in May from 1392 Thousand units in April of 2025. This dataset provides the latest reported value for - United States Housing Starts - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Producer Price Index by Commodity: Inputs to Industries: Net Inputs to Residential Construction, Goods (WPUIP2311001) from Jun 1986 to May 2025 about residential, construction, goods, commodities, PPI, industry, inflation, price index, indexes, price, and USA.

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.

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.

Abstract

The liberalized economic system in Armenia has led to a sharp growth in individual housing construction by individuals for their own use. High rates of individual housing construction may be observed in some geographic (regional) locations. However a lack of accurate administrative registers of licences for construction, the prevalence of some constructions (built without any license), create particular difficulties in producing reliable and comprehensive statistical data collection on individual housing construction.

In general, problems faced in collecting information about house construction may be separated in the following main groups: • incompleteness of indicators on volumes of individual housing construction by marz (region) breakdown, • introduction of the instruments being used in the international practice, taking into consideration peculiarities of the sphere, • lack of precise mechanisms for monitoring the process of individual housing construction, • expanding and improvement of the existing indicators set, • necessity of forming and updating of the individual housing construction register.

In this context, in order to improve the statistical accounting of house construction, it is important to conduct periodical surveys and by so doing to improve the instruments available, through the development and use of state statistical reporting forms, and to obtain some broad indicators of levels of activity in at least some regions of the Country.

Taking into account the above-mentioned, the main purpose of this survey was to improve statistics on individual housing construction. In particular, • ensuring the comparability of the statistical data on house construction with the methodologies and standards used in the international practice, • ensuring the comprehensiveness of the indicators by regional breakdown, • use of the sampling methods and improvements of their methodology in construction.

The survey results provide: - complete and reliable information on individual housing construction in some key regions, particularly studying structure and volumes of the buildings, - and increase in the quality of information, - to complement the database on house construction within the official statistics with new indicators, - a model for a register for newly built houses which can be used to monitor periodically the level housing construction activity.

The derived results enable NSSRA to improve and update its database, to expand its list of published indicators, to improve methodology, and to support more informed policy making by providing state and local selfgovernment bodies with key information.

Geographic coverage

National

Kind of data

Sample survey data [ssd]

Sampling procedure

There were two main approaches - entire and sampling - used for the conduct of the survey.

Lists of the licenses for individual housing construction, which had been given since 2005 by the state government body in the urban development, served as the main information source for the survey.

However there were, in some regions, serious inaccuracies and lack of availability of lists of licensed permits for individual house construction. These weaknesses, together with restrictions of available financial and human resources and the objective of receiving representative data, led to a concentration of survey resources in those regions where the individual housing construction is more prevalent and where reasonably up-to-date lists of licences are available. Yerevan and the following 4 marzes - Aragatsotn, Ararat, Armavir and Kotayk- were selected. The results of the survey therefore only apply to Yerevan and to these 4 marzes.

The licenses given for individual housing construction in Yerevan city were surveyed in their entirety, but in the other marzes - by the random sampling, considering the differences between the numbers of the mentioned licenses (from 100 to 640, meanwhile 100 - in Armavir, 136 - in Aragatsotn, 304 - in Ararat, 640 -in Kotayk), based on which the sample "steps" had been determined.

Overall there were 1330 licences granted, permitting individuals to construct a house for their own use. These were predominantly in Yerevan.

Although the survey was aimed at 1330 houses, it was foreseen to survey also those buildings under construction in the neighbourhood of the surveyed buildings, which were out of the list of the buildings to be surveyed.

Mode of data collection

Face-to-face [f2f]

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 real total consumer spending on household upkeep in El Salvador was forecast to continuously increase between 2024 and 2029 by in total 147.4 million U.S. dollars (+15.11 percent). After the ninth consecutive increasing year, the real spending on household upkeep is estimated to reach 1.1 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 Panama and Guatemala.

Argentina Construction Cost: Multi Family House data was reported at 782,734.700 ARS/sq m in Mar 2025. This records an increase from the previous number of 781,172.400 ARS/sq m for Feb 2025. Argentina Construction Cost: Multi Family House data is updated monthly, averaging 3,122.020 ARS/sq m from Jan 2000 (Median) to Mar 2025, with 303 observations. The data reached an all-time high of 782,734.700 ARS/sq m in Mar 2025 and a record low of 395.270 ARS/sq m in Nov 2000. Argentina Construction Cost: Multi Family House data remains active status in CEIC and is reported by National Institute of Statistics and Censuses. The data is categorized under Global Database’s Argentina – Table AR.EA006: Construction Cost: Multifamily House.

The real total consumer spending on household upkeep in Colombia was forecast to decrease between 2024 and 2029 by in total 829.5 million U.S. dollars (-6.48 percent). This overall decrease does not happen continuously, notably not in 2029. The real spending on household upkeep is estimated to amount to 12 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.

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.

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.

In the United States, the projected number of single-family housing unit starts in 2026 is estimated to increase. After a peak in 2021, the number of home construction starts decreased two years in a row. However, those figures are expected to pick back up in the next years. Single-family homes are the preferred option for Americans Single-family homes were the most common type of home purchased in 2023 in the United States, making up roughly ** percent of all purchases, showing that demand for single-family units remains strong. That explains why there is usually a far higher number of single-family homes than of other type of homes being built any given year. There were roughly *** multifamily homes whose construction started in 2024. Single family housing units in the United States The median size of a single family housing unit in the United States based on square footage has remained relatively consistent over the past two decades. The cost of housing varies around the United States. In 2023, the most expensive median price of an existing single-family home was on the West coast. However, it was in the Northeast where the median price of a new single-family home was the most expensive.

China Construction & Home Furniture Metal Product: YoY: Number of Employee: Average data was reported at -1.120 % in Dec 2012. This records an increase from the previous number of -2.272 % for Nov 2012. China Construction & Home Furniture Metal Product: YoY: Number of Employee: Average data is updated monthly, averaging 2.182 % from Jan 2006 (Median) to Dec 2012, with 55 observations. The data reached an all-time high of 11.840 % in Feb 2006 and a record low of -7.330 % in Aug 2009. China Construction & Home Furniture Metal Product: YoY: Number of Employee: Average data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHV: Construction and Safety Use Metal Product: Construction and Home Furniture Metal Product.

Between 2024 and 2025, in the United Kingdom (UK) the top features replaced or added during kitchen upgrades were worktops and sinks. According to a survey conducted with UK homeowners, a further 91 percent upgraded their kitchen cabinets as well.