Data on resident buyers who are persons that purchased a residential property in a market sale and filed their T1 tax return form: number of and incomes of residential property buyers, sale price, price-to-income ratio by the number of buyers as part of a sale, age groups, first-time home buyer status, buyer characteristics (sex, family type, immigration status, period of immigration, admission category).

Approximately ** percent of Americans aged 26 to 34 who bought a home were first-home buyers, whereas ** percent of home buyers between 35 and 44 bought their first home in that year. Gen Z and Millennial first-time buyers It is no surprise that many Gen Z (18 to 24 years old) and Millennial (25 to 43 years old) home buyers are mostly first-time home buyers. These home buyers are in the early stages of their careers, or still studying in some cases, and often struggling to repay student debt, so they need to save for many years before they afford a down payment. When do they sell? These generations tend to stay in their first homes for several years, which means that the majority of home sellers are older than them. The share of income needed to afford a trade-up home is significantly lower than the money needed for a starter home. A trade-up home is a larger and more expensive home, which homeowners often buy after living in their starter home, or their first home, for several years. This progression generally happens when homeowners have climbed the career ladder and increased their incomes.

Graph and download economic data for Existing Home Sales from Jun 2024 to Jun 2025 about headline figure, sales, housing, and USA.

According to a survey conducted among over 15,000 respondents in the U.S., between 36 and 55 percent of home buyers who were actively looking to buy a home in the next 12 months were not able to find one at a price they could afford as of the second quarter of 2023. Approximately ** percent of millennials struggled to find a home at an acceptable price, while for Baby Boomers, this percentage was higher at ** percent. According to the source, the main reason for the decline across all generations except for baby boomers was that respondents reported other reasons, such as getting outbid by other buyers or the inability to find a home in the desired neighborhood. In the second quarter of 2023, roughly ** percent of U.S. adults were planning a home purchase in the next year.

This table shows the average purchase price that has been paid in the reporting period for existing own homes purchased by a private individual. The average purchase price of existing own homes may differ from the price index of existing own homes. The average purchase price is no indicator for price developments of owner-occupied residential property. The average purchase price reflects the average price of dwellings sold in a particular period. The fact that de dwellings sold differs from one period to another is not taken into account. The following instance explains which problems are entailed by the continually changing of the quality of the dwellings sold. Suppose in February of a particular year mainly big houses with extensive gardens beautifully situated alongside canals are sold, whereas in March many small terraced houses are sold. In that case the average purchase price in February will be higher than in March but this does not mean that house prices are increased. See note 3 for a link to the article 'Why the average purchase price is not an indicator'.

Data available from: 1995

Status of the figures: The figures in this table are immediately definitive. The calculation of these figures is based on the number of notary transactions that are registered every month by the Dutch Land Registry Office (Kadaster). A revision of the figures is exceptional and occurs specifically if an error significantly exceeds the acceptable statistical margins. The average purchasing prices of existing owner-occupied sold homes can be calculated by Kadaster at a later date. These figures are usually the same as the publication on Statline, but in some periods they differ. Kadaster calculates the average purchasing prices based on the most recent data. These may have changed since the first publication. Statistics Netherlands uses figures from the first publication in accordance with the revision policy described above.

Changes as of 17 February 2025: Added average purchase prices of the municipalities for the year 2024.

When will new figures be published? New figures are published approximately one to three months after the period under review.

This dataset includes home buyers who purchased a home with an Iowa Finance Authority single family mortgage program in the State of Iowa with a loan purchase date between July 1, 2016 and June 30, 2018. The data includes loan Purchase Date, Bond Series, Loan Amount and County.

Graph and download economic data for Homeownership Rate in the United States (RHORUSQ156N) from Q1 1965 to Q2 2025 about homeownership, housing, rate, and USA.

Household characteristics, including household type, age group of the reference person (the person responsible for housing decisions), employment status of the reference person, visible minority status of the reference person, and degree of difficulty for the household to meet its financial needs, by tenure including first-time homebuyer status, Canada, provinces, population centres, select census metropolitan areas (CMAs) and census agglomerations (CAs).

The oldest homebuyers were the less likely to start their search for a home by looking online for properties for sale, compared to other generations. That was found by a 2024 survey among American homebuyers who recently purchased a home. Searching for listings online was still the most important step for ** to 34-year-olds, but a high percentage of respondents started the search by seeking information about the process online and asking friends and family. Respondents between ** and ** stood out as the most likely to directly contact a real estate agent.

This dataset provides values for EXISTING HOME SALES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

In 2024, the median income range between of more than 200,000 U.S. dollars was the largest share of homebuyers in the United States that year. Among them, almost ** percent were between 26 and 59 years old. The income range between 100,000 and 124,999 U.S. dollars was the second one with the largest share of homebuyers in the United States that year. Among them, ** percent were between 18 and 34 years old.

Real estate agents were the most important source of information among American homebuyers, a July 2024 survey found. Approximately ** percent of the Americans who purchased a home in the year preceding the survey had consulted with a real estate agent. The second most popular channel was a mobile or tablet search device, with about ** percent of respondents having sought information through that channel.

United States CSI: Home Values: Next 5 Yrs: 25th Percentile data was reported at 0.000 % in May 2018. This records a decrease from the previous number of 0.200 % for Apr 2018. United States CSI: Home Values: Next 5 Yrs: 25th Percentile data is updated monthly, averaging 0.100 % from Mar 2007 (Median) to May 2018, with 135 observations. The data reached an all-time high of 0.400 % in Jun 2017 and a record low of -0.400 % in Jul 2013. United States CSI: Home Values: Next 5 Yrs: 25th Percentile data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H036: Consumer Sentiment Index: Home Buying and Selling Conditions. The question was: What about the outlook for prices of homes like yours in your community over the next 5 years or so? Do you expect them to increase, remain about the same, or decrease?By about what percent per year do you expect prices of homes like yours in your community to go (up/down), on average, over the next 5years or so?

New Home Sales in Turkey increased to 43984 Units in July from 33569 Units in June of 2025. This dataset provides - Turkey New Home Sales- actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset includes Statistics Canada table 46-10-0045-01, titled “Housing characteristics, by tenure including first-time homebuyer status”. The table includes information on selected housing characteristics (difficulty meeting financial needs, visible minority status, household type, age group, and employment status) housing by tenure. The tenure category of 'owner' is split up into first-time home buyers and owner who is not a first-time home buyer. The table has been edited to include only geographies from British Columbia. The table is available in CSV and Excel Workbook format. Definitions and notes are included at the bottom of the spreadsheet. This data set was collected as part of the Canadian Housing Survey by Statistics Canada. Geographies: British Columbia, Large urban population centres in British Columbia, Medium population centres in British Columbia, Small population centres in British Columbia, Rural areas in British Columbia, Vancouver CMA, Other census metropolitan areas in British Columbia, Census agglomerations in British Columbia

Australia Households: Housing Finance: New Loan Commitments: First Home Buyers: Investor data was reported at 202.400 AUD mn in Mar 2020. This records an increase from the previous number of 180.500 AUD mn for Feb 2020. Australia Households: Housing Finance: New Loan Commitments: First Home Buyers: Investor data is updated monthly, averaging 262.700 AUD mn from Jul 2019 (Median) to Mar 2020, with 9 observations. The data reached an all-time high of 273.900 AUD mn in Dec 2019 and a record low of 180.500 AUD mn in Feb 2020. Australia Households: Housing Finance: New Loan Commitments: First Home Buyers: Investor data remains active status in CEIC and is reported by Australian Bureau of Statistics. The data is categorized under Global Database’s Australia – Table AU.KB007: Lending Indicators: Economic and Financial Statistics (EFS) Collection: Housing Finance.

VITAL SIGNS INDICATOR Home Prices (EC7)

FULL MEASURE NAME Home Prices

LAST UPDATED August 2019

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 Median Sale Price (1997-2018) http://www.zillow.com/research/data/

Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1997-2018; specific to each metro area) http://data.bls.gov

CONTACT INFORMATION vitalsigns.info@bayareametro.gov

METHODOLOGY NOTES (across all datasets for this indicator) Median housing price estimates for the region, counties, cities, and zip code come from analysis of individual home sales by Zillow. The median sale price is the price separating the higher half of the sales from the lower half. In other words, 50 percent of home sales are below or above the median value. 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 you own in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums where 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. Home sales prices are not reliably available for Houston, because Texas is a non-disclosure state. For more information on non-disclosure states, see: http://www.zillow.com/blog/chronicles-of-data-collection-ii-non-disclosure-states-3783/

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 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 CPI itself.

Graph and download economic data for Median Sales Price of Existing Homes (HOSMEDUSM052N) from Jun 2024 to Jun 2025 about sales, median, housing, and USA.

Data on resident buyers who are persons that purchased a residential property in a market sale and filed their T1 tax return form: number of and incomes of residential property buyers, sale price, price-to-income ratio by the number of buyers as part of a sale, age groups, first-time home buyer status, buyer characteristics (sex, family type, immigration status, period of immigration, admission category).

Monthly single-family home sales in Connecticut, 2001 through the present. Data updated monthly by the Connecticut Housing Finance Authority and tracked in the following dashboard: https://www.chfa.org/about-us/ct-monthly-housing-market-dashboard/.

CHFA has stopped maintaining the dashboard and associated datasets, and this dataset will no longer be updated as of 2022.