The average price per square foot of floor space in new single-family housing in the United States decreased after the great financial crisis, followed by several years of stagnation. Since 2012, the price has continuously risen, hitting ****** U.S. dollars per square foot in 2024. In 2024, the average sales price of a new home exceeded ******* U.S. dollars. Development of house sales in the U.S. One of the reasons for rising property prices is the gradual growth of house sales between 2011 and 2020. This period was marked by the gradual recovery following the subprime mortgage crisis and a growing housing sentiment. Another significant factor for the housing demand was the growing number of new household formations each year. Despite this trend, housing transactions plummeted in 2021, amid soaring prices and borrowing costs. In 2021, the average construction cost for single-family housing rose by nearly ** percent year-on-year, and in 2022, the increase was even higher, at close to ** percent. Financing a house purchase Mortgage interest rates in the U.S. rose dramatically in 2022 and remained elevated until 2024. In 2020, a homebuyer could lock in a 30-year fixed interest rate of under ***** percent, whereas in 2024, the average rate for the same mortgage type was more than twice higher. That has led to a decline in homebuyer sentiment, and an increasing share of the population pessimistic about buying a home in the current market.

Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet in the United States (MEDLISPRIPERSQUFEEUS) from Jul 2016 to Oct 2025 about square feet, listing, median, price, and USA.

The average square meter price of new residential real estate in Spain was the highest in Catalonia and the Community of Madrid in 2025. In the second quarter of the year, both regions boasted home prices of over 4,800 euros per square meter, with Catalonia at 4,893 euros and the Community of Madrid at 5,037 euros. That was substantially higher than the average for the country, which amounted to 3,151 euros per square meter. Overall, house prices in Spain have been on the rise since 2016.

Poland House Prices: per Square Meter: Primary Market: Transaction: 7 Cities data was reported at 14,264.650 PLN in Dec 2024. This records an increase from the previous number of 14,060.779 PLN for Sep 2024. Poland House Prices: per Square Meter: Primary Market: Transaction: 7 Cities data is updated quarterly, averaging 6,809.243 PLN from Sep 2006 (Median) to Dec 2024, with 74 observations. The data reached an all-time high of 14,264.650 PLN in Dec 2024 and a record low of 3,590.503 PLN in Sep 2006. Poland House Prices: per Square Meter: Primary Market: Transaction: 7 Cities data remains active status in CEIC and is reported by Narodowy Bank Polski. The data is categorized under Global Database’s Poland – Table PL.EB008: House Price.

Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet in Ohio (MEDLISPRIPERSQUFEEOH) from Jul 2016 to Oct 2025 about square feet, OH, listing, median, price, and USA.

Paris, Boulogne-Billancourt, and Versailles are the most expensive cities for residential real estate in France. In Paris, the average square meter price of an apartment was over 9,700 euros in December 2025, while the price for a house was even higher. Apartment prices in Paris went as high as 14,000 euros, depending on the arrondissement.

Geneva stands out as Europe's most expensive city for apartment purchases in early 2025, with prices reaching a staggering 15,720 euros per square meter. This Swiss city's real estate market dwarfs even high-cost locations like Zurich and London, highlighting the extreme disparities in housing affordability across the continent. The stark contrast between Geneva and more affordable cities like Nantes, France, where the price was 3,700 euros per square meter, underscores the complex factors influencing urban property markets in Europe. Rental market dynamics and affordability challenges While purchase prices vary widely, rental markets across Europe also show significant differences. London maintained its position as the continent's priciest city for apartment rentals in 2023, with the average monthly costs for a rental apartment amounting to 36.1 euros per square meter. This figure is double the rent in Lisbon, Portugal or Madrid, Spain, and substantially higher than in other major capitals like Paris and Berlin. The disparity in rental costs reflects broader economic trends, housing policies, and the intricate balance of supply and demand in urban centers. Economic factors influencing housing costs The European housing market is influenced by various economic factors, including inflation and energy costs. As of April 2025, the European Union's inflation rate stood at 2.4 percent, with significant variations among member states. Romania experienced the highest inflation at 4.9 percent, while France and Cyprus maintained lower rates. These economic pressures, coupled with rising energy costs, contribute to the overall cost of living and housing affordability across Europe. The volatility in electricity prices, particularly in countries like Italy where rates are projected to reach 153.83 euros per megawatt hour by February 2025, further impacts housing-related expenses for both homeowners and renters.

This house price per square metre dataset is created through complex address-based matching between the Land Registry’s Price Paid Data (LR-PPD) and property size information from the Domestic Energy Performance Certificates (EPC) data published by the Department for Levelling Up, Housing and Communities (DLUHC, formerly MHCLG). Details of the data linkage are published in the UCL Open: Environment along with the related linkage code via the UK Data Service ReShare repository. During this data linkage process, the transactions assigned as category B (Additional Price Paid entry) and other property types are removed. Here we publish our latest limited attribute version of the uncorrected house price per square metre dataset in England and Wales with the LR-PPD data (1/1/1995-26/2/2021) and Domestic EPCs data (the sixth version, up to 20/9/2020) downloaded on 1/4/2021 for non-commercial purpose. This uncorrected version of house price per square metre dataset records over 18 million transactions with 16 variables in England and Wales since 1995. Unlike in our published article, in this uncorrected version we have not removed transactions with any improbable price per square metre values - i.e. where either the transaction price or total floor area values are null, 0 or too low to be realistic. This uncorrected version of the data will offer the most flexibility for researchers. We offer technical validation and data cleaning code via the UKDA ReShare repository to help users evaluate the representation of the linked data for a given time period. The data cleaning code shows our methods for cleaning up unlikely floor size records before using this data in analysis. Users can create their own rules and undertake this clean-up process based on their own experience and research aims. This limited attribute version is published by local authority (2021 version). Details of the 16 variables are described in the explanation file. The National Statistics Postcode Lookup NSPL (May 2021 version) is used to assign the local authority unit for your production of area-based statistics. Users can match historical changes in LA boundaries by choosing appropriate aggregations using, for instance ONSPD, and the postcode variable in our dataset. An extended version of this dataset containing additional variables is available from UK Data Service Reshare service. Users can directly access this full version dataset (tranall_link_01042021.zip) via the following link: https://reshare.ukdataservice.ac.uk/855033/ . Accompanying LR-PPD and EPC data are also supplied through the ReShare service. Users who would like to attach their own additional variables from the LR-PPD data are advised to use the transactionid variable to link to the LR-PPD (LRPPD_01042021.zip). Users who would like to attach additional variables from the EPC data are advised to use the id variable to link to the sixth version Domestic EPCs (epc6_id.zip). The 2024 update

Hungary House Price: Average per Square Meter: Primary Market: ow Detached data was reported at 279.000 HUF/sq m th in 2017. This records an increase from the previous number of 241.000 HUF/sq m th for 2016. Hungary House Price: Average per Square Meter: Primary Market: ow Detached data is updated yearly, averaging 228.000 HUF/sq m th from Dec 2007 (Median) to 2017, with 11 observations. The data reached an all-time high of 279.000 HUF/sq m th in 2017 and a record low of 197.000 HUF/sq m th in 2013. Hungary House Price: Average per Square Meter: Primary Market: ow Detached data remains active status in CEIC and is reported by Hungarian Central Statistical Office. The data is categorized under Global Database’s Hungary – Table HU.P004: Average House Price.

This repository is the third updated version of the attribute-linked residential property price dataset in UK Data Service ReShare 854240 (https://reshare.ukdataservice.ac.uk/854240/). As with the first updated version (ReShare 855033 https://reshare.ukdataservice.ac.uk/855033/) in 2021, this updated dataset contains individual property transactions and associated variables from both Land Registry Price Paid Dataset (LR PPD) and the Ministry for Housing, Communities and Local Government (MHCLG) Domestic Energy Performance Certificate (EPC) data. This is a linked result by address matching between LR-PPD data (1/1/1995-31/10/2023) and Domestic EPCs data (ending with 31/10/2023). It is the whole of the 2023 update dataset published in the Greater London Authority (GLA) London Datastore (https://data.london.gov.uk/dataset/house-price-per-square-metre-in-england-and-wales).

The linked dataset in this repository is the uncorrected version, recording over 21 million transactions with 107 variables in England and Wales between 1/1/1995 and 31/10/2023. We have offered technical validation and data cleaning code in UKDA ReShare 854240 to help users to evaluate the representation and clean up the data.

This repository covers the original LR PPD and Domestic EPCs for the linked data (house price per square metre dataset). Similar to the first updated version, a field header has been added in LR PPD. Six variables (LMK_KEY, address, address 1, address 2, address 3, postcode) in Domestic EPCs are removed. A newly created unique identifier (id) is added in Domestic EPCs, this id is newly created for the Domestic EPCs(downloaded on 2/12/2023). It is not the same id as the id in the Domestic EPCs from UK Data Service ReShare 854240 and ReShare 855033 or the ReShare 856204. Since November 2021, DLUCH has published Domestic EPCs with the Unique Property Reference Number (UPRN) hence the dataset in this repository contains the UPRN information from the Domestic EPCs.

House prices in Spain have grown year-on-year between 2016 and 2025, increasing by over ***** euros per square meter. In October 2025, the average house price per square meter reached ***** euros - far above the level of 2007 before the global financial crisis hit and the market plummeted.

Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet in Texas (MEDLISPRIPERSQUFEETX) from Jul 2016 to Oct 2025 about square feet, TX, listing, median, price, and USA.

The average price of detached and duplex houses in the biggest cities in Germany varied between approximately ***** 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 ***** euros. Conversely, Berlin was most affordable, with the square meter price at ***** 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 *** percent, which means that a house bought in 2015 would have appreciated by ** 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 ***, meaning that since 2015, house price growth has outpaced income growth by about ** percent. Compared with the average for the euro area, this value was lower.

Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet in Harrisburg-Carlisle, PA (CBSA) (MEDLISPRIPERSQUFEE25420) from Jul 2016 to Oct 2025 about Harrisburg, square feet, PA, listing, median, price, and USA.

Norway House Price per Square Meter: Avg: Freeholder: Bergen: Multi Dwelling data was reported at 52,832.000 NOK in Jun 2018. This records an increase from the previous number of 49,722.000 NOK for Mar 2018. Norway House Price per Square Meter: Avg: Freeholder: Bergen: Multi Dwelling data is updated quarterly, averaging 40,779.000 NOK from Mar 2006 (Median) to Jun 2018, with 50 observations. The data reached an all-time high of 52,832.000 NOK in Jun 2018 and a record low of 27,361.000 NOK in Dec 2008. Norway House Price per Square Meter: Avg: Freeholder: Bergen: Multi Dwelling data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.P001: House Price per Square Meter.

Task Description: Real Estate Price Prediction

This task involves predicting the price of real estate properties based on various features that influence the value of a property. The dataset contains several attributes of real estate properties such as square footage, the number of bedrooms, bathrooms, floors, the year the property was built, whether the property has a garden or pool, the size of the garage, the location score, and the distance from the city center.

The goal is to build a regression model that can predict the Price of a property based on the provided features.

Dataset Columns:

ID: A unique identifier for each property.

Square_Feet: The area of the property in square meters.

Num_Bedrooms: The number of bedrooms in the property.

Num_Bathrooms: The number of bathrooms in the property.

Num_Floors: The number of floors in the property.

Year_Built: The year the property was built.

Has_Garden: Indicates whether the property has a garden (1 for yes, 0 for no).

Has_Pool: Indicates whether the property has a pool (1 for yes, 0 for no).

Garage_Size: The size of the garage in square meters.

Location_Score: A score from 0 to 10 indicating the quality of the neighborhood (higher scores indicate better neighborhoods).

Distance_to_Center: The distance from the property to the city center in kilometers.

Price: The target variable that represents the price of the property. This is the value we aim to predict.

Objective: The goal of this task is to develop a regression model that predicts the Price of a real estate property using the other features as inputs. The model should be able to learn the relationship between these features and the price, providing an accurate prediction for unseen data.

Norway House Price per Square Meter: Avg: Freeholder: Stavanger: Detached Houses data was reported at 31,807.000 NOK in Jun 2018. This records an increase from the previous number of 31,435.000 NOK for Mar 2018. Norway House Price per Square Meter: Avg: Freeholder: Stavanger: Detached Houses data is updated quarterly, averaging 31,090.500 NOK from Mar 2006 (Median) to Jun 2018, with 50 observations. The data reached an all-time high of 35,298.000 NOK in Sep 2013 and a record low of 19,622.000 NOK in Mar 2006. Norway House Price per Square Meter: Avg: Freeholder: Stavanger: Detached Houses data remains active status in CEIC and is reported by Statistics Norway. The data is categorized under Global Database’s Norway – Table NO.P001: House Price per Square Meter.

Graph and download economic data for Housing Inventory: Median Listing Price per Square Feet in Minnesota (MEDLISPRIPERSQUFEEMN) from Jul 2016 to Oct 2025 about MN, square feet, listing, median, price, and USA.

United States Price per Square: Existing: Single Family Residential data was reported at 216.000 USD in Mar 2023. This records an increase from the previous number of 209.000 USD for Feb 2023. United States Price per Square: Existing: Single Family Residential data is updated monthly, averaging 139.000 USD from Jan 2012 (Median) to Mar 2023, with 135 observations. The data reached an all-time high of 234.000 USD in May 2022 and a record low of 86.000 USD in Feb 2012. United States Price per Square: Existing: Single Family Residential data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB115: Median Home Sale Price per Square Foot.

Redfin is a real estate brokerage and publishes the US housing market data on a regular basis. Using this dataset, you can analyze and visualize housing market data for US cities. Timeline: Starting from February 2012 until the present time (Data is refreshed and updated on a monthly basis)

The dataset has the following columns: - period_begin - period_end - period_duration
- region_type
- region_type_id - table_id - is_seasonally_adjusted. (indicates if prices are seasonally adjusted; f represents False) - region - city - state - state_code - property_type - property_type_id - median_sale_price
- median_sale_price_mom (median sale price changes month over month) - median_sale_price_yoy (median sale price changes year over year) - median_list_price
- median_list_price_mom (median list price changes month over month) - median_list_price_yoy (median list price changes year over year) - median_ppsf (median sale price per square foot) - median_ppsf_mom (median sale price per square foot changes month over month) - median_ppsf_yoy (median sale price per square foot changes year over year) - median_list_ppsf (median list price per square foot) - median_list_ppsf_mom (median list price per square foot changes month over month) - median_list_ppsf_yoy. (median list price per square foot changes year over year) - homes_sold (number of homes sold) - homes_sold_mom (number of homes sold month over month) - homes_sold_yoy (number of homes sold year over year) - pending_sales
- pending_sales_mom
- pending_sales_yoy
- new_listings - new_listings_mom
- new_listings_yoy
- inventory - inventory_mom
- inventory_yoy
- months_of_supply
- months_of_supply_mom - months_of_supply_yoy
- median_dom (median days on market until property is sold) - median_dom_mom (median days on market changes month over month) - median_dom_yoy (median days on market changes year over year) - avg_sale_to_list (average sale price to list price ratio) - avg_sale_to_list_mom (average sale price to list price ratio changes month over month) - avg_sale_to_list_yoy (average sale price to list price ratio changes year over year) - sold_above_list
- sold_above_list_mom - sold_above_list_yoy - price_drops - price_drops_mom - price_drops_yoy - off_market_in_two_weeks (number of properties that will be taken off the market within 2 weeks) - off_market_in_two_weeks_mom (changes in number of properties that will be taken off the market within 2 weeks, month over month) - off_market_in_two_weeks_yoy (changes in number of properties that will be taken off the market within 2 weeks, year over year) - parent_metro_region - parent_metro_region_metro_code - last_updated

Filetype: gzip (gz) Support for gzip files in Python: https://docs.python.org/3/library/gzip.html

Data Source & Credit: Redfin.com