Graph and download economic data for Housing Inventory: Median Days on Market in the United States (MEDDAYONMARUS) from Jul 2016 to Jul 2025 about median and USA.

Existing single family homes in California have been selling faster than ever in the past year. As of March 2022, the median time between a new listing and a purchase in the major counties in California was below ** days, whereas in August 2019, it was between ** and ** days. The robust demand for properties in California has led to substantial house price growth in almost all counties in California in the past year.

Graph and download economic data for Housing Inventory: Median Days on Market in Florida (MEDDAYONMARFL) from Jul 2016 to Jul 2025 about FL, median, and USA.

Luxury homes in Los Angeles, California spent significantly shorter time on market in the first quarter of 2023 than the same quarter in 2021 and 2022. It took on average ** days between listing and selling a condo in 2023. The period for a single-family home was slightly longer, amounting to ** days.

Graph and download economic data for Housing Inventory: Median Days on Market in Boston-Cambridge-Newton, MA-NH (CBSA) (MEDDAYONMAR14460) from Jul 2016 to Jul 2025 about Boston, NH, MA, median, and USA.

The number of U.S. home sales in the United States declined in 2024, after soaring in 2021. A total of four million transactions of existing homes, including single-family, condo, and co-ops, were completed in 2024, down from 6.12 million in 2021. According to the forecast, the housing market is forecast to head for recovery in 2025, despite transaction volumes expected to remain below the long-term average. Why have home sales declined? The housing boom during the coronavirus pandemic has demonstrated that being a homeowner is still an integral part of the American dream. Nevertheless, sentiment declined in the second half of 2022 and Americans across all generations agreed that the time was not right to buy a home. A combination of factors has led to house prices rocketing and making homeownership unaffordable for the average buyer. A survey among owners and renters found that the high home prices and unfavorable economic conditions were the two main barriers to making a home purchase. People who would like to purchase their own home need to save up a deposit, have a good credit score, and a steady and sufficient income to be approved for a mortgage. In 2022, mortgage rates experienced the most aggressive increase in history, making the total cost of homeownership substantially higher. Are U.S. home prices expected to fall? The median sales price of existing homes stood at 413,000 U.S. dollars in 2024 and was forecast to increase slightly until 2026. The development of the S&P/Case Shiller U.S. National Home Price Index shows that home prices experienced seven consecutive months of decline between June 2022 and January 2023, but this trend reversed in the following months. Despite mild fluctuations throughout the year, home prices in many metros are forecast to continue to grow, albeit at a much slower rate.

New Home Sales in the United States increased to 627 Thousand units in June from 623 Thousand units in May of 2025. This dataset provides the latest reported value for - United States New Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

In the 2 years to March 2023, people in White British and White Irish households had lived in their current home for 15 years on average – longer than all other ethnic groups.

In June 2025, approximately ******* home construction projects started in the United States. The lowest point for housing starts over the past decade was in 2009, just after the 2007-2008 global financial crisis. Since 2010, the number of housing units started has been mostly increasing despite seasonal fluctuations. Statista also has a dedicated topic page on the U.S. housing market as a starting point for additional investigation on this topic. The impact of the global recession The same trend can be seen in home sales over the past two decades. The volume of U.S. home sales began to drop in 2005 and continued until 2010, after which home sales began to increase again. This dip in sales between 2005 and 2010 suggests that supply was outstripping demand, which led to decreased activity in the residential construction sector. Impact of recession on home buyers The financial crisis led to increased unemployment and pay cuts in most sectors, which meant that potential home buyers had less money to spend. The median income of home buyers in the U.S. fluctuated alongside the home sales and starts over the past decade.

Indonesia Average Monthly Expenditure per Capita: Urban: Housing and Household Facilities: House Maintenance Cost data was reported at 12,491.000 IDR in 2018. This records an increase from the previous number of 8,444.000 IDR for 2017. Indonesia Average Monthly Expenditure per Capita: Urban: Housing and Household Facilities: House Maintenance Cost data is updated yearly, averaging 6,060.500 IDR from Dec 2003 (Median) to 2018, with 14 observations. The data reached an all-time high of 12,491.000 IDR in 2018 and a record low of 2,120.000 IDR in 2004. Indonesia Average Monthly Expenditure per Capita: Urban: Housing and Household Facilities: House Maintenance Cost data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Domestic Trade and Household Survey – Table ID.HC002: Average Monthly Expenditure per Capita: Urban.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Food at Home in U.S. City Average (CUSR0000SAF11) from Jan 1952 to Jun 2025 about urban, food, consumer, CPI, housing, inflation, price index, indexes, price, and USA.

Chile Monthly Average Household Expenditure: Northern Macrozone: Furniture, Home Equipment & Routine Housing Maintenance data was reported at 74,256.000 CLP in 2022. Chile Monthly Average Household Expenditure: Northern Macrozone: Furniture, Home Equipment & Routine Housing Maintenance data is updated yearly, averaging 74,256.000 CLP from Dec 2022 (Median) to 2022, with 1 observations. The data reached an all-time high of 74,256.000 CLP in 2022 and a record low of 74,256.000 CLP in 2022. Chile Monthly Average Household Expenditure: Northern Macrozone: Furniture, Home Equipment & Routine Housing Maintenance data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Chile – Table CL.H031: Household Budget Survey: Monthly Average Household Expenditure.

OLOD60 - Average time spent outdoors over the past 6 months for recreational purposes by degree of urbanisation surrounding homes. Published by Central Statistics Office. Available under the license Creative Commons Attribution 4.0 (CC-BY-4.0).Average time spent outdoors over the past 6 months for recreational purposes by degree of urbanisation surrounding homes...

US Census Bureau American Community Survey 2013-2017 Estimates in the Keys the Valley Region for Population, Households, Tenure, Cost Burden, Poverty, and Age of Housing Stock.

The American Community Survey (ACS) is a nationwide survey designed to provide communities with reliable and timely social, economic, housing, and demographic data every year. Because the ACS is based on a sample, rather than all housing units and people, ACS estimates have a degree of uncertainty associated with them, called sampling error. In general, the larger the sample, the smaller the level of sampling error. Data associated with a small town will have a greater degree of error than data associated with an entire county. To help users understand the impact of sampling error on data reliability, the Census Bureau provides a “margin of error” for each published ACS estimate. The margin of error, combined with the ACS estimate, give users a range of values within which the actual “real-world” value is likely to fall.

Single-year and multiyear estimates from the ACS are all “period” estimates derived from a sample collected over a period of time, as opposed to “point-in-time” estimates such as those from past decennial censuses. For example, the 2000 Census “long form” sampled the resident U.S. population as of April 1, 2000. The estimates here were derived from a sample collected over time from 2013-2017.

Data Dictionary - Population, Households, Tenure, Cost Burden, Poverty, Age of Housing Stock

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Population: Total Population (B01003)

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Households: Total number of households (B25003)

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OwnHH: Total number of owner-occupied households (B25003)

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RentHH: Total number of renter-occupied households (B25003)

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TotalU: Total number of housing units (B25001)

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VacantU: Total number of vacant units (B25004)

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SeasRecOcU: Total number of Seasonal/Recreational/Occasionally Occupied Units (B25004)

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ForSale: Total number of units currently for sale (B25004)

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ForRent: Total number of units currently for rent (B25004)

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MedianHI: Median Household Income (B25119)

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OwnHH3049: Total number of owner-occupied households spending 30-49% of their income on housing costs. (B25095)

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POwnHH3049: Percentage of owner-occupied households spending 30-49% of their income on housing costs. (B25095)

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OwnHH50: Total number of severely cost-burdened owner-occupied households – those spending 50% or more of their income on housing costs. (B25095)

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POwnHH50: Percentage of severely cost-burdened owner-occupied households – those spending 50% or more of their income on housing costs. (B25095)

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OwnHH_CB: Total number of owner-occupied, cost-burdened households - those who spend 30% or more of their income on housing costs. (B25095)

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POwnHH_CB: Percentage of owner-occupied, cost-burdened households - those who spend 30% or more of their income on housing costs. (B25095)

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RenHH3049: Total number of renter-occupied households spending 30-49% of their income on housing costs. (B25070)

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PRenHH3049: Percentage of renter-occupied households spending 30-49% of their income on housing costs. (B25070)

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RenHH50: Total number of severely cost-burdened renter-occupied households – those spending 50% or more of their income on housing costs. (B25070)

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PRenHH50: Percentage of severely cost-burdened renter-occupied households – those spending 50% or more of their income on housing costs. (B25070)

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RenHH_CB: Total number of renter-occupied, cost-burdened households - those who spend 30% or more of their income on housing costs. (B25070)

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PRenHH_CB: Percentage of renter-occupied, cost-burdened households - those who spend 30% or more of their income on housing costs. (B25070)

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Poverty: Population below poverty level. (B17001)

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PPoverty: Percentage of population below poverty level. Note poverty status (above or below) is not determined for the entire population. (B17001)

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MYearBuilt: Median structure year of construction. (B25035)

Housing Index in Germany decreased to 218.19 points in June from 218.58 points in May of 2025. This dataset provides the latest reported value for - Germany House Price Index - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Chile Monthly Average Household Expenditure: Great Santiago: Furniture, Home Equipment & Routine Housing Maintenance data was reported at 96,274.000 CLP in 2022. This records an increase from the previous number of 82,185.000 CLP for 2017. Chile Monthly Average Household Expenditure: Great Santiago: Furniture, Home Equipment & Routine Housing Maintenance data is updated yearly, averaging 82,185.000 CLP from Dec 2012 (Median) to 2022, with 3 observations. The data reached an all-time high of 96,274.000 CLP in 2022 and a record low of 54,633.000 CLP in 2012. Chile Monthly Average Household Expenditure: Great Santiago: Furniture, Home Equipment & Routine Housing Maintenance data remains active status in CEIC and is reported by National Institute of Statistics. The data is categorized under Global Database’s Chile – Table CL.H031: Household Budget Survey: Monthly Average Household Expenditure.

Residential properties in Great Britain sold the fastest in Scotland in January 2024. It took on average 45 days between listing and selling a property in Scotland, whereas in Wales, this period was the longest at 80 days. Demand for housing in the UK declined as a result of the higher mortgage rates, leading to properties taking longer to sell than before.

In the spring of 2021, over a third of surveyed Hungarians worked ***** to **** hours in home office each day, while another ** percent worked *** to ***** hours. At the same time, ** percent of the respondents spent over ***** hours working in home office.

Indonesia Average Monthly Expenditure per Capita: Housing and Household Facilities: House Rent data was reported at 4,901.000 IDR in 2018. This records a decrease from the previous number of 5,182.000 IDR for 2017. Indonesia Average Monthly Expenditure per Capita: Housing and Household Facilities: House Rent data is updated yearly, averaging 1,890.000 IDR from Dec 2003 (Median) to 2018, with 16 observations. The data reached an all-time high of 5,420.000 IDR in 2016 and a record low of 725.000 IDR in 2004. Indonesia Average Monthly Expenditure per Capita: Housing and Household Facilities: House Rent data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Domestic Trade and Household Survey – Table ID.HC001: Average Monthly Expenditure per Capita.