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.

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.

This report analyses the total amount spent by households on repair and maintenance of the home. This includes expenditure on goods and services for major repairs to property as well as routine maintenance. The data is sourced from the Office of National Statistics (ONS) in addition to estimates from IBISWorld. The data is presented as totals over each financial year, using the chained volume method and is seasonally adjusted.

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.

Homeowners’ association fees were the largest monthly maintenance costs for American homeowners in 2017 and amounted to *** U.S. dollars. Property taxes, utility bills, and repairs and general maintenance costs were the next biggest maintenance costs in that year. Homeowners’ associations are organizations which make and enforce rules in the subdivision, condominium or planned housing community. Membership is a condition for buying a home within the community.

The rise of homeowners’ associations The number of residents who were part of community associations is rising year-on-year. About ** percent of these community associations are homeowners’ associations, whereas the remainder are condo communities or cooperatives. The volume of community associations is also increasing across the country.

Property taxes Property taxes vary between states with the highest effective rates at over two percent and the lowest coming in at less than one percent. The states with the highest property tax rates are predominantly located on the east coast, whereas the states with property tax rates of less than one percent are mostly southern 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.

Updates to this release can now be found in the dataset Household Energy Efficiency statistics.

This release presents statistics on the number of Green Deal assessments lodged, the number of Green Deal Plans in place for individual properties, the number of measures installed in properties under the Energy Company Obligation (ECO), Cashback, Green Deal Plans and the Green Deal Home Improvement Fund, and the number of energy efficiency installations (cavity wall and loft insulation) in GB households (previously published in the statistical release Home insulation levels in Great Britain) Source agency: Energy and Climate Change Designation: National Statistics (with effect from January 2015) Language: English Alternative title: Green Deal & ECO

This is the first detailed report of findings relating to the housing stock from the English housing survey, and builds on results reported in the ‘English housing survey 2008 to 2009: headline report’ published in February 2010 (available on the National Archive).

The ‘English housing survey 2008 to 2009: household report’ was also published on 27 October 2010.

The main findings of the report are:

• in 2008 there were around 22.2 million dwellings in England; over 1 in 5 (21%) were built before 1919
• since 2001 there has been a significant reduction in the amount of disrepair in the stock; private-rented dwellings, converted flats and dwellings in city centres improved most; however the average repair costs for these groups of dwellings were still higher than for other groups in 2008
• the energy efficiency (SAP) rating of the housing stock steadily improved from a mean of 42 SAP points in 1996 to 51 in 2008
• the carbon dioxide (CO2) emissions associated with heating and lighting the home averaged 6.3 tonnes per year for each dwelling in 2008; the social sector accounted for only 11% of the total CO2 emissions associated with heating and lighting
• following the Energy Performance Certificate methodology, the survey estimated that 20.1 million dwellings could benefit from one or more cost-effective improvement measures, such as loft and cavity wall insulation, upgraded boilers and heating controls
• if all these improvements were carried out, the mean SAP rating would increase by more than 11 points and, potentially, CO2 emissions for heating and lighting the home could fall by 26%

Errata

An errata was published on 19 January 2011. This note presents revisions made to data published in the ‘English housing survey 2008: housing stock report’.

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 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.

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).

Italy CI: Home Improvements: Next 12 Mths: Not Likely data was reported at 10.200 2005=100 in Jan 2015. This records a decrease from the previous number of 11.600 2005=100 for Oct 2014. Italy CI: Home Improvements: Next 12 Mths: Not Likely data is updated quarterly, averaging 5.000 2005=100 from Jan 2006 (Median) to Jan 2015, with 37 observations. The data reached an all-time high of 13.000 2005=100 in Jul 2014 and a record low of 2.300 2005=100 in Oct 2008. Italy CI: Home Improvements: Next 12 Mths: Not Likely data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.H008: Consumer Confidence Indicator: 2005=100.

Italy CI: Home Improvements: Next 12 Mths: Very Likely data was reported at 5.000 2005=100 in Jan 2015. This records an increase from the previous number of 4.800 2005=100 for Oct 2014. Italy CI: Home Improvements: Next 12 Mths: Very Likely data is updated quarterly, averaging 3.000 2005=100 from Jan 2006 (Median) to Jan 2015, with 37 observations. The data reached an all-time high of 6.900 2005=100 in Apr 2014 and a record low of 1.700 2005=100 in Oct 2006. Italy CI: Home Improvements: Next 12 Mths: Very Likely data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.H008: Consumer Confidence Indicator: 2005=100.

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.

Italy CI: Home Improvements: Next 12 Mths: Fairly Likely data was reported at 9.400 2005=100 in Jan 2015. This records an increase from the previous number of 9.300 2005=100 for Oct 2014. Italy CI: Home Improvements: Next 12 Mths: Fairly Likely data is updated quarterly, averaging 6.000 2005=100 from Jan 2006 (Median) to Jan 2015, with 37 observations. The data reached an all-time high of 11.000 2005=100 in Jul 2014 and a record low of 3.100 2005=100 in Oct 2007. Italy CI: Home Improvements: Next 12 Mths: Fairly Likely data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Italy – Table IT.H008: Consumer Confidence Indicator: 2005=100.