In 2023, on average, one square meter of commercial premises cost the most in Poland, at over ***** zloty. The average price of office units reached ***** zloty per sqm.

Graph and download economic data for Commercial Real Estate Prices for United States (COMREPUSQ159N) from Q1 2005 to Q1 2025 about real estate, commercial, rate, and USA.

Graph and download economic data for Median Sales Price of Houses Sold for the United States (MSPUS) from Q1 1963 to Q2 2025 about sales, median, housing, and USA.

Commercial property prices in the U.S. plateaued in 2025 after declining in 2023. Between 2014 and 2021, commercial real estate prices nearly doubled, with the index reaching ***** index points. Following a slowdown in the market, the index declined, falling to ****** index points in the second quarter of 2025. Despite the correction, this indicated an increase of almost ** percent in prices since 2010, which was the baseline year for the index. How have prices of different property types developed over the past years? After more than a decade of uninterrupted growth, office real estate prices started to decline in 2022, reflecting a decline in occupier demand and a tougher lending environment. Industrial real estate prices, which have grown rapidly over the past few years, also experienced a correction in late 2022. Retail real estate prices displayed most resilience amid the difficult economic environment, with the equal-weighted repeat sales index remaining stable. How much is invested in new commercial properties? The value of commercial real estate construction has been on the rise since 2010 in the United States. This trend mirrors the recovery seen across all economic sectors after the 2007-2009 recession. However, investment volumes in commercial property vary by type, with private office space, warehouses, and retail leading the pack.

Jordan Real Estate Price Index: 2012=100: Non-Residential data was reported at 100.255 2012=100 in Sep 2021. This records an increase from the previous number of 98.934 2012=100 for Jun 2021. Jordan Real Estate Price Index: 2012=100: Non-Residential data is updated quarterly, averaging 100.994 2012=100 from Mar 2013 (Median) to Sep 2021, with 35 observations. The data reached an all-time high of 107.997 2012=100 in Mar 2016 and a record low of 97.362 2012=100 in Mar 2021. Jordan Real Estate Price Index: 2012=100: Non-Residential data remains active status in CEIC and is reported by Central Bank of Jordan. The data is categorized under Global Database’s Jordan – Table JO.EB001: Real Estate Price Index: 2012=100.

Hospitality properties had the highest square footage price in the U.S. commercial real estate sector in the fourth quarter of 2024. Hospitality properties sold during that period had an average price of ****** U.S. dollars per square foot. Conversely, industrial properties had the lowest price, at ****** U.S. dollars per square foot.

These National Statistics provide monthly estimates of the number of residential and non-residential property transactions in the UK and its constituent countries. National Statistics are accredited official statistics.

England and Northern Ireland statistics are based on information submitted to the HM Revenue and Customs (HMRC) Stamp Duty Land Tax (SDLT) database by taxpayers on SDLT returns.

Land and Buildings Transaction Tax (LBTT) replaced SDLT in Scotland from 1 April 2015 and this data is provided to HMRC by https://www.revenue.scot/">Revenue Scotland to continue the time series.

Land Transaction Tax (LTT) replaced SDLT in Wales from 1 April 2018. To continue the time series, the https://gov.wales/welsh-revenue-authority">Welsh Revenue Authority (WRA) have provided HMRC with a monthly data feed of LTT transactions since July 2021.

LTT figures for the latest month are estimated using a grossing factor based on data for the most recent and complete financial year. Until June 2021, LTT transactions for the latest month were estimated by HMRC based upon year on year growth in line with other UK nations.

LTT transactions up to the penultimate month are aligned with LTT statistics.

Go to Stamp Duty Land Tax guidance for the latest rates and information.

Go to Stamp Duty Land Tax rates from 1 December 2003 to 22 September 2022 and Stamp Duty: rates on land transfers before December 2003 for historic rates.

The latest release was published 09:30 28 November 2025 and was updated with provisional data from completed transactions during October 2025.

The next release will be published 09:30 09 January 2026 and will be updated with provisional data from completed transactions during November 2025.

https://webarchive.nationalarchives.gov.uk/ukgwa/20240320184933/https://www.gov.uk/government/statistics/monthly-property-transactions-completed-in-the-uk-with-value-40000-or-above">Archive versions of the Monthly property transactions completed in the UK with value of £40,000 or above are available via the UK Government Web Archive, from the National Archives.

Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

Snapshot img

Europe Commercial Real Estate Market Size 2025-2029

Europe commercial real estate market size is forecast to increase by USD 91.4 billion at a CAGR of 5.7% between 2024 and 2029. European commercial real estate market is experiencing significant growth, with increasing private investment pouring into the sector. The primary catalyst fueling market growth is the increasing aggregate private investment.This trend is driven by a robust economic environment, favorable demographic shifts, and the ongoing recovery from the COVID-19 pandemic.

Market Size & Forecast

  Market Opportunities: USD 31.78 billion
  Future Opportunities: USD 91.4 billion 
  CAGR : 5.7%  

However, this growth comes with challenges,rising interest rates pose a threat to affordability and profitability, potentially dampening investor enthusiasm and increasing borrowing costs. As a result, companies must navigate this complex landscape by carefully assessing potential investment opportunities, considering alternative financing options, and adapting to changing market conditions. In order to capitalize on the market's potential and mitigate risks, strategic planning and agility will be essential for success.

What will be the size of Europe Commercial Real Estate Market during the forecast period?

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European commercial real estate market continues to evolve, presenting dynamic opportunities across various sectors. Property risk assessment and building inspection reports play crucial roles in mitigating potential hazards, ensuring compliance with safety standards. Property tax appeals and portfolio diversification help investors minimize risk and maximize returns. Facility management services, property valuation techniques, and property value metrics enable effective asset management. Data-driven investment strategies, including transaction closing costs, space planning solutions, and development approval processes, facilitate informed decision-making. Capital expenditure planning, portfolio optimization, operating expense control, lease contract review, energy consumption audits, and commercial lease terms are essential for maintaining profitability.
For instance, the adoption of energy management systems in commercial buildings has led to a 10% average reduction in energy consumption, contributing to cost savings and environmental sustainability. Commercial real estate market is expected to grow by 3% annually, driven by these evolving trends and the ongoing demand for efficient, sustainable, and compliant properties.

How is this Europe Commercial Real Estate Market segmented?

Europe commercial real estate market market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029,for the following segments.

Type

  Rental
  Lease
  Sales


End-user

  Offices
  Retail
  Leisure
  Others


End-User

  Corporate
  Investment
  Government


Location

  Urban
  Suburban


Geography

  Europe

    France
    Germany
    Italy
    UK

By Type Insights

The rental segment is estimated to witness significant growth during the forecast period. European commercial real estate market is characterized by dynamic lease renewal negotiations, construction project management, and insurance considerations for green building certification and property refurbishment costs. Zoning regulations compliance and vacancy loss calculations are crucial elements in property acquisition strategy, while property tax optimization and valuation models inform building lifecycle cost analyses. Property management software and tenant occupancy rates are essential for portfolio performance metrics, and market rent surveys guide tenant retention strategies. Portfolio risk management, building code compliance, property data analytics, and rental income projections are integral to asset management strategies. Due diligence processes and capitalization rate analysis are vital during urban planning regulations and space utilization analysis.

In the rental segment, growth is expected to reach over 5% annually, with office rents in the UK, Benelux markets, and peripheral Europe experiencing the highest quarterly growth of 1.8%. However, investment markets remain cautious due to economic uncertainties and rising inflation and finance rates, despite the leasing market's strength and increasing rents. For instance, rental income in the office sector in Paris grew by 3.5% in 2021, reaching €1,122 per square meter per year.

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Market Dynamics

Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

European commercial real estate market continues to be a significant global investment destina

In 2025, average standard commercial land prices in Japan rose by *** percent. The standard land price survey is an assessment of land prices as of July 1 each year conducted by prefectural governments.

Graph and download economic data for Real Residential Property Prices for United States (QUSR628BIS) from Q1 1970 to Q2 2025 about residential, HPI, housing, real, price index, indexes, price, and USA.

The U.S. housing market continues to evolve, with the median price for existing homes forecast to fall to ******* U.S. dollars by 2027. This projection comes after a period of significant growth and recent fluctuations, reflecting the complex interplay of economic factors affecting the real estate sector. The rising costs have not only impacted home prices but also down payments, with the median down payment more than doubling since 2012. Regional variations in housing costs Home prices and down payments vary dramatically across the United States. While the national median down payment stood at approximately ****** U.S. dollars in early 2024, homebuyers in states like California, Massachusetts, and Hawaii faced down payments exceeding ****** U.S. dollars. This disparity highlights the challenges of homeownership in high-cost markets and underscores the importance of location in determining housing affordability. Market dynamics and future outlook The housing market has shown signs of cooling after years of rapid growth, with a modest price increase of *** percent in 2024. This slowdown can be attributed in part to rising mortgage rates, which have tempered demand. Despite these challenges, most states continued to see year-over-year price growth in 2025, with Rhode Island and West Virginia leading the packby home appreciation. As the market adjusts to new economic realities, potential homebuyers and investors alike will be watching closely for signs of stabilization or renewed growth in the coming years.

Reference: https://www.zillow.com/research/zhvi-methodology/

Official Background

In setting out to create a new home price index, a major problem Zillow sought to overcome in existing indices was their inability to deal with the changing composition of properties sold in one time period versus another time period. Both a median sale price index and a repeat sales index are vulnerable to such biases (see the analysis here for an example of how influential the bias can be). For example, if expensive homes sell at a disproportionately higher rate than less expensive homes in one time period, a median sale price index will characterize this market as experiencing price appreciation relative to the prior period of time even if the true value of homes is unchanged between the two periods.

The ideal home price index would be based off sale prices for the same set of homes in each time period so there was never an issue of the sales mix being different across periods. This approach of using a constant basket of goods is widely used, common examples being a commodity price index and a consumer price index. Unfortunately, unlike commodities and consumer goods, for which we can observe prices in all time periods, we can’t observe prices on the same set of homes in all time periods because not all homes are sold in every time period.

The innovation that Zillow developed in 2005 was a way of approximating this ideal home price index by leveraging the valuations Zillow creates on all homes (called Zestimates). Instead of actual sale prices on every home, the index is created from estimated sale prices on every home. While there is some estimation error associated with each estimated sale price (which we report here), this error is just as likely to be above the actual sale price of a home as below (in statistical terms, this is referred to as minimal systematic error). Because of this fact, the distribution of actual sale prices for homes sold in a given time period looks very similar to the distribution of estimated sale prices for this same set of homes. But, importantly, Zillow has estimated sale prices not just for the homes that sold, but for all homes even if they didn’t sell in that time period. From this data, a comprehensive and robust benchmark of home value trends can be computed which is immune to the changing mix of properties that sell in different periods of time (see Dorsey et al. (2010) for another recent discussion of this approach).

For an in-depth comparison of the Zillow Home Value Index to the Case Shiller Home Price Index, please refer to the Zillow Home Value Index Comparison to Case-Shiller

Each Zillow Home Value Index (ZHVI) is a time series tracking the monthly median home value in a particular geographical region. In general, each ZHVI time series begins in April 1996. We generate the ZHVI at seven geographic levels: neighborhood, ZIP code, city, congressional district, county, metropolitan area, state and the nation.

Underlying Data

Estimated sale prices (Zestimates) are computed based on proprietary statistical and machine learning models. These models begin the estimation process by subdividing all of the homes in United States into micro-regions, or subsets of homes either near one another or similar in physical attributes to one another. Within each micro-region, the models observe recent sale transactions and learn the relative contribution of various home attributes in predicting the sale price. These home attributes include physical facts about the home and land, prior sale transactions, tax assessment information and geographic location. Based on the patterns learned, these models can then estimate sale prices on homes that have not yet sold.

The sale transactions from which the models learn patterns include all full-value, arms-length sales that are not foreclosure resales. The purpose of the Zestimate is to give consumers an indication of the fair value of a home under the assumption that it is sold as a conventional, non-foreclosure sale. Similarly, the purpose of the Zillow Home Value Index is to give consumers insight into the home value trends for homes that are not being sold out of foreclosure status. Zillow research indicates that homes sold as foreclosures have typical discounts relative to non-foreclosure sales of between 20 and 40 percent, depending on the foreclosure saturation of the market. This is not to say that the Zestimate is not influenced by foreclosure resales. Zestimates are, in fact, influenced by foreclosure sales, but the pathway of this influence is through the downward pressure foreclosure sales put on non-foreclosure sale prices. It is the price signal observed in the latter that we are attempting to measure and, in turn, predict with the Zestimate.

Market Segments Within each region, we calculate the ZHVI for various subsets of homes (or mar...

This dataset uses data provided from Washington State’s Housing Market, a publication of the Washington Center for Real Estate Research (WCRER) at the University of Washington.

Median sales prices represent that price at which half the sales in a county (or the state) took place at higher prices, and half at lower prices. Since WCRER does not receive sales data on individual transactions (only aggregated statistics), the median is determined by the proportion of sales in a given range of prices required to reach the midway point in the distribution. While average prices are not reported, they tend to be 15-20 percent above the median.

Movements in sales prices should not be interpreted as appreciation rates. Prices are influenced by changes in cost and changes in the characteristics of homes actually sold. The table on prices by number of bedrooms provides a better measure of appreciation of types of homes than the overall median, but it is still subject to composition issues (such as square footage of home, quality of finishes and size of lot, among others).

There is a degree of seasonal variation in reported selling prices. Prices tend to hit a seasonal peak in summer, then decline through the winter before turning upward again, but home sales prices are not seasonally adjusted. Users are encouraged to limit price comparisons to the same time period in previous years.

Property Price Index: Secondary Mkt: Residential: Beijing data was reported at 100.500 Prev Mth=100 in Mar 2025. This records an increase from the previous number of 100.000 Prev Mth=100 for Feb 2025. Property Price Index: Secondary Mkt: Residential: Beijing data is updated monthly, averaging 100.200 Prev Mth=100 from Jan 2011 (Median) to Mar 2025, with 171 observations. The data reached an all-time high of 106.300 Prev Mth=100 in Mar 2016 and a record low of 98.400 Prev Mth=100 in Apr 2024. Property Price Index: Secondary Mkt: Residential: Beijing data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.EA: Property Price Index: (Previous Month=100): Secondary Market Residential. The survey coverage and methods for the 70 cities property price index: Survey Coverage: The survey was conducted in the municipal districts of 70 medium and large-sized cities, excluding the counties. Survey Methods: The data of sales price, floor space and amount of money directly came from the network transaction records data of local real estate management departments. The survey of sales prices of second-hand residential buildings was non-overall survey, integrating key-point investigation with typical investigation, combing the methods of real estate brokerage agency reporting, real estate management departments providing, as well as investigator obtaining prices on the spot, to collect the basic data.

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.

House prices in the UK rose dramatically during the coronavirus pandemic, with growth slowing down in 2022 and turning negative in 2023. The year-on-year annual house price change peaked at 14 percent in July 2022. In April 2025, house prices increased by 3.5 percent. As of late 2024, the average house price was close to 290,000 British pounds. Correction in housing prices: a European phenomenon The trend of a growing residential real estate market was not exclusive to the UK during the pandemic. Likewise, many European countries experienced falling prices in 2023. When comparing residential property RHPI (price index in real terms, e.g. corrected for inflation), countries such as Germany, France, Italy, and Spain also saw prices decline. Sweden, one of the countries with the fastest growing residential markets, saw one of the largest declines in prices. How has demand for UK housing changed since the outbreak of the coronavirus? The easing of the lockdown was followed by a dramatic increase in home sales. In November 2020, the number of mortgage approvals reached an all-time high of over 107,000. One of the reasons for the housing boom were the low mortgage rates, allowing home buyers to take out a loan with an interest rate as low as 2.5 percent. That changed as the Bank of England started to raise the base lending rate, resulting in higher borrowing costs and a decline in homebuyer sentiment.

Description: This data provides a range of statistics on residential property transaction prices and volume of sales. Data is available on the volume and value of sales and mean sale prices and can be filtered by dwelling status (existing and new) and buyer type (first time buyer, former owner occupied etc). The dashboards provide an annual view of transactions from 2010 to 2024.All data has been sourced from the CSO Residential Property Price Index (RPPI). This index is designed to measure the change in the average level of prices paid by households for residential properties sold in Ireland. The RPPI specifically excludes non-household purchases, non-market purchases and self-builds (i.e. where the land is purchased separately). The index is mix-adjusted to allow for the fact that different types of property are sold in different months.Geography available in RDM: State, Regional Assembly and Strategic Planning Area (SPA), County (26).Source: Residential Property Price Index (RPPI)Weblink: https://data.cso.ie/table/HPA02Date of last source data update: March 2025Update Schedule: Annual update

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.