Median price paid for residential property in England and Wales, by property type and administrative geographies. Annual data.

The median house price in 94027, Atherton, California, was about 8.3 million U.S. dollars. This made it the most expensive zip code in the United States in 2023. 11962 Sagaponack, N.Y., was the runner-up with a median house price of about 8.1 million U.S. dollars. Of the 10 most expensive zip codes in the United States in 2026, six were in California.

After soaring for three years, house price in England declined in 2023. In London, the most expensive regional market, the average house price fell to 508,000 British pounds in December 2023, down from 529,000 British pounds a year ago. According to the UK regional house price index, the North West saw the highest price increase since 2015.

Summary statistics for housing transactions by local authority in England and Wales, on an annual basis, updated quarterly using HM Land Registry Price Paid Data. Select values from the Year and Month dimensions for data for a 12-month period ending that month and year (e.g. selecting June and 2018 will return the twelve months to June 2018).

The average price of detached and duplex houses in the biggest cities in Germany varied between approximately 4,500 euros and 10,000 euros per square meter in 2024. Housing was most expensive in Munich, where the square meter price of houses amounted to 9,806 euros. Conversely, Berlin was most affordable, with the square meter price at 4,512 euros. How have German house prices evolved? House prices maintained an upward trend for more than a decade, with 2020 and 2021 experiencing exceptionally high growth rates. In 2021, the nominal year-on-year change exceeded 10 percent. Nevertheless, the second half of 2022 saw the market slowing, with the annual percentage change turning negative for the first time in 12 years. Another way to examine the price growth is through the house price index, which uses 2015 as a base. At its peak in 2022, the German house price index measured about 166 percent, which means that a house bought in 2015 would have appreciated by 66 percent. Is housing affordable in Germany? Housing affordability depends greatly on income: High-income areas often tend to have more expensive housing, which does not necessarily make them unaffordable. The house price to income index measures the development of the cost of housing relative to income. In the first quarter of 2024, the index value stood at 110, meaning that since 2015, house price growth has outpaced income growth by about 10 percent. Compared with the average for the euro area, this value was lower.

Quarterly house price data based on a sub-sample of the Regulated Mortgage Survey.

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.

The median house prices in the most expensive zip codes in California reached as high as 8.3 million U.S dollars. Atherton (94027), had the most expensive median house price, followed by Santa Barbara (93108), and Beverly Hills (90210). Six of the ranked zip codes were among the top ten most expensive zip codes in the United States in 2023.

In 2022, house price growth in the UK slowed, after a period of decade-long increase. Nevertheless, in August 2024, prices reached a new peak, with the average home costing close to 290,000 British pounds. That figure refers to all property types, including detached, semi-detached, terraced houses, and flats and maisonettes. Compared to other European countries, the UK had some of the highest house prices. How have UK house prices increased over the last 10 years? Property prices have risen dramatically over the past decade. According to the UK house price index, the average house price has grown by over 50 percent since 2015. This price development has led to the gap between the cost of buying and renting a property to close. In 2023, buying a three-bedroom house in the UK was no longer more affordable than renting one. Consequently, Brits have become more likely to rent longer and push off making a house purchase until they have saved up enough for a down payment and achieved the financial stability required to make the step. What caused the decline in house prices in 2022? House prices are affected by multiple factors, such as mortgage rates, supply, and demand on the market. For nearly a decade, the UK experienced uninterrupted house price growth as a result of strong demand and a chronic undersupply. Homebuyers who purchased a property at the peak of the housing boom in July 2022 paid 14 percent more compared to what they would have paid a year before. Additionally, 2022 saw the most dramatic increase in mortgage rates in recent history. Between December 2021 and December 2022, the 10-year fixed mortgage rate doubled, adding further strain to prospective homebuyers. As a result, the market cooled, leading to a correction in pricing.

The median house prices in the most expensive zip codes in New York reached as high as 8.1 billion U.S. in 2023. That was the median property price in dollars in 11962, Sagaponack, Suffolk County in that year. In 11976, Water Mill, the median price amounted to 4.5 million U.S. dollars. The two zip codes also ranked among the 10 zip codes with the highest median house price in the entire United States.

This map uses a two-color thematic shading to emphasize where areas experience the least to the most affordable housing across the US. This web map is part of the How Affordable is the American Dream story map.

Esri’s Housing Affordability Index (HAI) is a powerful tool to analyze local real estate markets. Esri’s housing affordability index measures the financial ability of a typical household to purchase an existing home in an area. A HAI of 100 represents an area that on average has sufficient household income to qualify for a loan on a home valued at the median home price. An index greater than 100 suggests homes are easily afforded by the average area resident. A HAI less than 100 suggests that homes are less affordable. The housing affordability index is not applicable in areas with no households or in predominantly rental markets . Esri’s home value estimates cover owner-occupied homes only. For a full demographic analysis of US growth refer to Esri's Trending in 2017: The Selectivity of Growth.

The pop-up is configured to show the following 2017 demographics for each County and ZIP Code:

Total Households 2010-17 Annual Pop Change Median Age Percent Owner-Occupied Housing Units Median Household Income Median Home Value Housing Affordability Index Share of Income to Mortgage

According to the forecast, the North East and Wales are the regions in the United Kingdom estimated to see the highest overall growth in house prices over the five-year period between 2024 and 2028. Just behind are North West, Yorkshire & the Humber, and Scotland, which are forecast to see house prices increase by 20.2 percent over the five-year period. In London, house prices are expected to rise by 13.9 percent.

The median house prices in the most expensive zip codes in New England, United States ranged from 1.9 to 2.8 million U.S. dollars. Boston (zip code 02199) was the most expensive in New England with a median house price of 2.8 million U.S. dollars. Nevertheless, that was more affordable than in the ten zip codes with the highest median house price in the entire United States.

From 1 April 2018, LTT replaced Stamp Duty Land Tax (SDLT) on residential and non-residential property and land interests purchased in Wales. The tax rates and tax bands for LTT vary depending on the type of transaction. Taxpayers must notify the WRA of all land transactions with a value above £40,000. There are also circumstances where certain lease transactions are not notifiable if they are less than 7 years in duration. When filing an LTT return, the organisation paying the return has 30 days after the effective date to submit and pay the return. This dataset includes estimates of LTT notifiable residential transactions received by the WRA by the close of 20 January 2025. Non-residential statistics cannot be reliably produced as identification of the correct constituency area relies on the postcode to be provided for the property and land items as part of each transaction. As there is an inherent bias in the cases where missing or invalid postcodes are provided towards larger non-residential transactions, their results are not sufficiently complete or meaningful to be published. The dataset includes a breakdown by: - transaction type: residential only but (including sub-categories for main rate and higher rate transactions) - Senedd Constituency: each of the 40 Senedd Constituencies in Wales - measure: number of transactions, tax due, value of property taxed, average tax due per transaction and average value of property taxed - effective year (financial) There is a relatively small proportion of residential transactions where the postcode provided for the property and land items is missing or invalid. This means that the constituency cannot be allocated. For comparability, the constituency totals shown in this dataset therefore relate only to those transactions where the constituency is known, and for that reason will not match the Wales total shown in other datasets. A full explanation of how this dataset should be interpreted, especially in the context of higher rates transactions, can be found here: https://gov.wales/welsh-revenue-authority-local-area-statistics-2022-2023-explained-html

From 1 April 2018, LTT replaced Stamp Duty Land Tax (SDLT) on residential and non-residential property and land interests purchased in Wales. The tax rates and tax bands for LTT vary depending on the type of transaction. Taxpayers must notify the WRA of all land transactions with a value above £40,000. There are also circumstances where certain lease transactions are not notifiable if they are less than 7 years in duration. When filing an LTT return, the organisation paying the return has 30 days after the effective date to submit and pay the return. This dataset includes estimates of LTT notifiable residential transactions received by the WRA by the close of 15 April 2024. Non-residential statistics cannot be reliably produced as identification of the correct deprivation area relies on the postcode to be provided for the property and land items as part of each transaction. As there is an inherent bias in the cases where missing or invalid postcodes are provided towards larger non-residential transactions, their results are not sufficiently complete or meaningful to be published. The dataset includes a breakdown by: - transaction type: residential only but (including sub-categories for main rate and higher rate transactions) - Deprivation area: areas that represent a division of Wales into ten approximately equally populated areas, known as deciles, using deprivation ranks attributed to the nearly 2000 small areas in Wales (called Lower Super Output Areas), as measured by the Welsh Index of Multiple Deprivation (WIMD). WIMD decile (or tenth) 1 is the most deprived, down to WIMD decile (or tenth) 10, which is the least deprived. - measure: number of transactions, tax due, value of property taxed, average tax due per transaction and average value of property taxed - effective year (financial) WIMD ranks were updated recently (2019). We have used these latest WIMD ranks in this release. Each update of WIMD ranks is designed to last for around three to six years. When we first published this analysis last year, we used 2014 WIMD ranks. There is a relatively small proportion of residential transactions where the postcode provided for the property and land items is missing or invalid. This means that the deprivation area cannot be allocated. For comparability, the area totals shown in this dataset therefore relate only to those transactions where the deprivation is known, and for that reason will not match the Wales total shown in other datasets. A full explanation of how this dataset should be interpreted, especially in the context of higher rates transactions, can be found here: https://gov.wales/welsh-revenue-authority-local-area-statistics-2022-2023-explained-html

Rental price statistics historical data time series (indices and annual percentage change). These are official statistics in development.

In 2024, Sydney had the highest price per square meter of land across major cities in Australia. Lot buyers expected to pay a premium of 1,617 Australian dollars per square meter in the capital of New South Wales. Conversely, lot buyers in Adelaide expected to spend around 750 Australian dollars per square meter of land. Prices through the roof Over the past decade, the surge in land and housing costs has been attributed to rapid population growth, driving up median prices for property and land, particularly in cities. In Sydney, the per square meter price of land has almost tripled since 2010, while the number of new property listings has declined over the years. A shortage of residential land available to build on has exacerbated the housing affordability crisis in Australia. Will lending rates continue to climb? The homeownership dream is out of reach for the average Australian without a housing loan. Nevertheless, Australia's high mortgage interest rates for both owner-occupiers and investors have impacted current and aspiring mortgage holders, with the value of household lending trending downwards over the past two years. While rates remained high in the first half of 2024, they likely reached their peak, as shown by the gradual plateau in the second half of the year. This stabilization should, in turn, accelerate buying, selling, and lending activities.