Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q1 2025 about sales, housing, and USA.

The U.S. housing market has slowed, after ** consecutive years of rising home prices. In 2021, house prices surged by an unprecedented ** percent, marking the highest increase on record. However, the market has since cooled, with the Freddie Mac House Price Index showing more modest growth between 2022 and 2024. In 2024, home prices increased by *** percent. That was lower than the long-term average of *** percent since 1990. Impact of mortgage rates on homebuying The recent cooling in the housing market can be partly attributed to rising mortgage rates. After reaching a record low of **** percent in 2021, the average annual rate on a 30-year fixed-rate mortgage more than doubled in 2023. This significant increase has made homeownership less affordable for many potential buyers, contributing to a substantial decline in home sales. Despite these challenges, forecasts suggest a potential recovery in the coming years. How much does it cost to buy a house in the U.S.? In 2023, the median sales price of an existing single-family home reached a record high of over ******* U.S. dollars. Newly built homes were even pricier, despite a slight decline in the median sales price in 2023. Naturally, home prices continue to vary significantly across the country, with West Virginia being the most affordable state for homebuyers.

Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q1 2025 about sales, median, housing, and USA.

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

In the United States, Hawaii was the state with the most expensive housing, with the typical value of single-family homes in the 35th to 65th percentile range exceeding ******* U.S. dollars. Unsurprisingly, Hawaii also ranked top as the state with the highest cost of living. Meanwhile, a property was the least expensive in West Virginia, where it cost under ******* U.S. dollars to buy the typical single-family home. Single-family home prices increased across most states in the United States between December 2023 and December 2024, except in Louisiana, Florida, and the District of Colombia. According to the Federal Housing Association, house appreciation in 13 states exceeded **** percent in 2023.

Average House Prices in Canada decreased to 688600 CAD in June from 690200 CAD in May of 2025. This dataset includes a chart with historical data for Canada Average House Prices.

The house price to income ratio in the United States has reached concerning levels, with the index hitting ***** in the fourth quarter of 2024. This indicates that house prices have outpaced income growth by over ** percent since 2015, highlighting a growing affordability crisis in the housing market. The widening gap between home prices and wages is putting homeownership out of reach for many Americans, particularly as real wages have remained stagnant. Rising home prices and stagnant wages While average annual real wages in the United States have increased slightly since 2014, home prices have soared. The median sales price of existing single-family homes reached a record-high in 2024, representing a substantial increase over the past five years. This disparity between wage growth and home price appreciation has led to a significant decrease in housing affordability across the country. Affordability challenges in the U.S. housing market The U.S. Housing Affordability Index, which measures whether a family earning the median income can afford a median-priced home, plummeted in 2024, marking the second-worst year for homebuyers since records began. This decline in affordability is reflected in homebuyer sentiment, with homebuyer sentiment plummeting.

Spain Avg Housing Price: Free Market: Less than 5 Years Old: Madrid data was reported at 3,403.800 EUR/sq m in Sep 2018. This records an increase from the previous number of 3,273.000 EUR/sq m for Jun 2018. Spain Avg Housing Price: Free Market: Less than 5 Years Old: Madrid data is updated quarterly, averaging 2,995.900 EUR/sq m from Mar 2010 (Median) to Sep 2018, with 35 observations. The data reached an all-time high of 3,507.200 EUR/sq m in Mar 2012 and a record low of 2,646.100 EUR/sq m in Mar 2014. Spain Avg Housing Price: Free Market: Less than 5 Years Old: Madrid data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Housing in U.S. City Average (CPIHOSNS) from Jan 1967 to Jun 2025 about urban, consumer, CPI, housing, inflation, price index, indexes, price, and USA.

Graph and download economic data for Condo Price Index for New York, New York (NYXRCSA) from Jan 1995 to Apr 2025 about New York, HPI, housing, price index, indexes, price, and USA.

Spain Avg Housing Price: Free Market: Less than 5 Years Old: Murcia data was reported at 1,145.400 EUR/sq m in Sep 2018. This records a decrease from the previous number of 1,269.700 EUR/sq m for Jun 2018. Spain Avg Housing Price: Free Market: Less than 5 Years Old: Murcia data is updated quarterly, averaging 1,204.100 EUR/sq m from Mar 2010 (Median) to Sep 2018, with 35 observations. The data reached an all-time high of 1,642.000 EUR/sq m in Sep 2010 and a record low of 1,034.000 EUR/sq m in Sep 2016. Spain Avg Housing Price: Free Market: Less than 5 Years Old: Murcia data remains active status in CEIC and is reported by Ministry of Public Works. The data is categorized under Global Database’s Spain – Table ES.P003: Housing Prices: Free Market: by Region and Major City.

Residential Real Estate In India Market size was valued at USD 273.42 Billion in 2024 and is projected to reach USD 1556.09 Billion by 2032, growing at a CAGR of 24.28% from 2026 to 2032.

Key Market Drivers

Growing Middle-Class Population: Rapid urbanization and a growing middle-class population in India are fueling strong demand for residential properties in major cities. According to the Ministry of Housing and Urban Affairs, India’s urban population is projected to exceed 600 million by 2030, accounting for 40% of the overall population. According to the National Statistical Office (NSO), the middle-class population has increased by 35% over the last five years, with over 350 million Indians now falling into this demographic segment.

Silencio’s Street Noise-Level Dataset provides unmatched value for the real estate industry, delivering highly granular noise data to property professionals, developers, and investors. Built from over 35 billion datapoints collected globally via our mobile app and refined through AI-driven interpolation, this dataset offers hyper-local average noise levels (dBA) covering streets, neighborhoods, and venues across more than 200 countries.

Our data helps assess the environmental quality of any location, supporting residential and commercial property valuations, site selection, and urban development. By integrating real-world noise measurements with AI-powered models, we enable real estate professionals to evaluate how noise exposure impacts property value, livability, and buyer perception — factors often overlooked by traditional market analyses.

Silencio also operates the largest global database of noise complaints, providing additional context for understanding neighborhood soundscapes from both objective measurements and subjective community feedback.

We offer on-demand visual delivery for mapped cities, regions, or even specific streets and districts, allowing clients to access exactly the data they need. Data is available both as historical and up-to-date records, ready to be integrated into valuation models, investment reports, and location intelligence platforms. Delivery options include CSV exports, S3 buckets, PDF, PNG, JPEG, and we are currently developing a full-featured API, with flexibility to adapt to client needs. We are open to discussion for API early access, custom projects, or unique delivery formats.

Fully anonymized and fully GDPR-compliant, Silencio’s data ensures ethical sourcing while providing real estate professionals with actionable insights for smarter, more transparent valuations.

Average House Prices in New Zealand decreased to 910479 NZD in June from 913772 NZD in May of 2025. This dataset includes a chart with historical data for New Zealand Average House Prices.

The Report Covers Mexico Residential Real Estate Housing Market Companies and is Segmented by Type (Apartments and Condominiums and Landed Houses and Villas). The Report Offers Market Size and Forecast in Value (USD) for all the Above Segments.

VITAL SIGNS INDICATOR
Home Prices (EC7)

FULL MEASURE NAME
Home Prices

LAST UPDATED
December 2022

DESCRIPTION
Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

DATA SOURCE
Zillow: Zillow Home Value Index (ZHVI) - http://www.zillow.com/research/data/
2000-2021

California Department of Finance: E-4 Historical Population Estimates for Cities, Counties, and the State - https://dof.ca.gov/forecasting/demographics/estimates/
2000-2021

US Census Population and Housing Unit Estimates - https://www.census.gov/programs-surveys/popest.html
2000-2021

Bureau of Labor Statistics: Consumer Price Index - http://data.bls.gov
2000-2021

US Census ZIP Code Tabulation Areas (ZCTAs) - https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html
2020 Census Blocks

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Housing price estimates at the regional-, county-, city- and zip code-level come from analysis of individual home sales by Zillow based upon transaction records. Zillow Home Value Index (ZHVI) is a smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. ZHVI is computed from public record transaction data as reported by counties. All standard real estate transactions are included in this metric, including REO sales and auctions. Zillow makes a substantial effort to remove transactions not typically considered a standard sale. Examples of these include bank takeovers of foreclosed properties, title transfers after a death or divorce and non arms-length transactions. Zillow defines all homes as single-family residential, condominium and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that can be owned in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums in that the homeowners own shares in the corporation that owns the building, not the actual units themselves.

For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Data is adjusted for inflation using Bureau of Labor Statistics metropolitan statistical area (MSA)-specific series. Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index (CPI) does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of the CPI itself.

The Scandinavian prefabricated housing market, valued at $5.80 billion in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 4.59% from 2025 to 2033. This growth is driven by several key factors. Increasing urbanization and population density in major Scandinavian cities are fueling the demand for efficient and cost-effective housing solutions. Prefabricated housing offers a significant advantage in this context, enabling faster construction times and reduced labor costs compared to traditional methods. Furthermore, a growing awareness of sustainability and environmental concerns is boosting the adoption of prefabricated homes, which often incorporate eco-friendly materials and energy-efficient designs. Government initiatives promoting sustainable construction practices and affordable housing further contribute to market expansion. The market is segmented by housing type, with single-family homes and multi-family dwellings comprising the major segments. While single-family homes currently hold a larger market share, the multi-family segment is anticipated to witness faster growth due to rising demand for apartments in urban areas. Leading players like Peab AB, Derome AB, and others are driving innovation within the industry, incorporating advanced technologies and sustainable materials to enhance product offerings and meet evolving consumer preferences. The Nordic region, encompassing countries like Sweden, Norway, Denmark, and Finland, dominates the Scandinavian prefabricated housing market due to established infrastructure, supportive government policies, and high consumer acceptance of sustainable building practices. However, the market is also witnessing growth in other European regions and beyond, driven by increasing awareness of the benefits of prefabricated construction. Challenges facing the market include fluctuations in raw material prices, skilled labor shortages, and stringent building regulations. Nevertheless, the long-term outlook for the Scandinavian prefabricated housing market remains positive, driven by continued urbanization, the growing need for sustainable housing, and technological advancements within the industry. Companies are actively investing in research and development to improve design, reduce construction time, and enhance the overall quality and affordability of prefabricated homes. Recent developments include: April 2022 : Lindbäcks signed an agreement with K-fast, Eskilstuna's municipal properties. The agreement includes 86 rental apartments in three wooden buildings with geothermal heating and solar cells. The choice of Lindbäcks as a building contractor and house in wood will, together with the installation of geothermal heating and solar cells, lead to the housing project in Skogstorp coming down to a lower climate impact in the construction process and low energy consumption for future operation., March 2022 : Lindbäcks started producing apartments for the project Film for Family Housing. The film in Bandhagen is a project with 35 rental apartments. The film project comprises 35 rental apartments in a house with three stairwell entrances and four floors high. The box camera consists of four houses on seven floors and 148 rental apartments. They follow the design of Stockholmshusen with a plaster façade and will both be built in the Bandhagen district of Stockholm.. Notable trends are: Prefabricated Home Building Expertise of Sweden Driving the Market.

VITAL SIGNS INDICATOR
Home Prices (EC7)

FULL MEASURE NAME
Home Prices

LAST UPDATED
December 2022

DESCRIPTION
Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

DATA SOURCE
Zillow: Zillow Home Value Index (ZHVI) - http://www.zillow.com/research/data/
2000-2021

California Department of Finance: E-4 Historical Population Estimates for Cities, Counties, and the State - https://dof.ca.gov/forecasting/demographics/estimates/
2000-2021

US Census Population and Housing Unit Estimates - https://www.census.gov/programs-surveys/popest.html
2000-2021

Bureau of Labor Statistics: Consumer Price Index - http://data.bls.gov
2000-2021

US Census ZIP Code Tabulation Areas (ZCTAs) - https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html
2020 Census Blocks

CONTACT INFORMATION
vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Housing price estimates at the regional-, county-, city- and zip code-level come from analysis of individual home sales by Zillow based upon transaction records. Zillow Home Value Index (ZHVI) is a smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. ZHVI is computed from public record transaction data as reported by counties. All standard real estate transactions are included in this metric, including REO sales and auctions. Zillow makes a substantial effort to remove transactions not typically considered a standard sale. Examples of these include bank takeovers of foreclosed properties, title transfers after a death or divorce and non arms-length transactions. Zillow defines all homes as single-family residential, condominium and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that can be owned in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums in that the homeowners own shares in the corporation that owns the building, not the actual units themselves.

For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Data is adjusted for inflation using Bureau of Labor Statistics metropolitan statistical area (MSA)-specific series. Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index (CPI) does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of the CPI itself.

The homeownership rate was the highest among Americans in their early 70s and the lowest among people in their early 20s in 2023. In that year, approximately ** percent of individuals aged 70 to 75 resided in a residence they owned, compared to approximately **** percent among individuals under the age of 25. On average, **** percent of Americans lived in an owner-occupied home. The homeownership rate was the highest in 2004 but has since declined.

Graph and download economic data for Residential Property Prices for Japan (QJPN628BIS) from Q1 1955 to Q4 2024 about Japan, residential, HPI, housing, price index, indexes, and price.