The average house price in Scotland has increased since 2015, with minor fluctuations over time. The house price index is calculated using data on housing transactions and measures the development of house prices, with January 2023 chosen as a base year when the index value was set to 100. In May 2025, the index reached 109.3, suggesting a house price growth of 6.4 percent since May 2024 and 9.3 percent since 2023. Among the different regions in the UK, the West and East Midlands experienced the strongest growth.

Summary of UK House Price Index (HPI) price statistics covering England, Scotland, Wales and Northern Ireland. Full UK HPI data are available on GOV.UK.

View monthly updates and historical trends for UK Scotland House Price Index. from United Kingdom. Source: Office for National Statistics. Track economic …

The statistic displays a **** year forecast for house price growth in the United Kingdom (UK) from 2020 to 2024, revised with the coronavirus (covid-19) impact on the market. According to the forecast, 2020 and 2021 will likely see a slower to no increase in house prices followed by a gradual recovery between 2022 and 2024. North West, North East, Yorkshire & the Humber, and Scotland prices are forecast to bounce back quicker than other UK regions with higher **** year price increase.

Ann Street, Edinburgh EH4 was the most expensive street for residential real estate in Scotland. The average price of a property there was over **** million British pounds, accounting for the average transactions that occurred between January 2018 and September 2023. The second most prestigious address in the world for a particular popular sport, Golf Place, St Andrews, was valued at **** million British pounds. Wester Coates Avenue made up the third in the list, with properties averaging over *** million British pounds.

The UK house price index (UK HPI) represents changes in the value of UK residential properties (i.e., detached houses, semi-detached houses, terraced houses, flats and maisonettes) and indicates trends in the UK housing market. The UK HPI applies a hedonic regression model that utilises the various sources of data on property price (e.g., HM Land Registry's Price Paid dataset) to allow for a true comparison of UK property prices in each period. The data is sourced from the Office for National Statistics (ONS) and HM Land Registry, using house sales data from HM Land Registry, Registers of Scotland, and Land and Property Services Northern Ireland. Forecast data is estimated by IBISWorld, with reference to Office for Budget Responsibility (OBR) forecasts submitted in its 'Economic and fiscal outlook – March 2022' publication. The figures are presented with a base month in 2015 (i.e., January 2015 = 100) and are averages of the UK HPI over each financial year (i.e., April-March).

Graph and download economic data for All-Transactions House Price Index for Scotland County, NC (ATNHPIUS37165A) from 1991 to 2024 about Scotland County, NC; NC; HPI; housing; price index; indexes; price; and USA.

All-Transactions House Price Index for Scotland County, NC was 178.08000 Index 2000=100 in January of 2024, according to the United States Federal Reserve. Historically, All-Transactions House Price Index for Scotland County, NC reached a record high of 189.82000 in January of 2023 and a record low of 73.77000 in January of 1991. Trading Economics provides the current actual value, an historical data chart and related indicators for All-Transactions House Price Index for Scotland County, NC - last updated from the United States Federal Reserve on November of 2025.

This dataset contains the property market report for residential house sales in Scotland.

The UK House Price Index (UK HPI) is an official statistic that captures changes in the value of residential properties in the United Kingdom. The UK HPI is calculated by the Office for National Statistics and Land & Property Services Northern Ireland. Data for the UK House Price Index is provided by HM Land Registry, Registers of Scotland, Land & Property Services Northern Ireland and the Valuation Office Agency. Geographic coverage England, Scotland, Wales and Northern Ireland License statement UK HPI data is published under Open Government Licence. When using or publishing data from the UK HPI reports, background tables in the statistical datatset: UK House Price Index: data downloads or search tool, you will need to add the following attribution statement: Contains HM Land Registry data © Crown copyright and database right [year of supply or date of publication]. This data is licensed under the Open Government Licence v3.0. When you publish the data, be sure to include information about the nature of the data and any relevant dates for the period of time covered. Neither HM Land Registry nor any third party shall be liable for any loss or damage, direct, indirect or consequential, arising from: any inaccuracy or incompleteness of the data in the UK HPI any decision made or action taken in reliance upon the data Neither shall HM Land Registry or any third party be liable for loss of business resources, lost profits or any punitive indirect, consequential, special or similar damages whatsoever, whether in contract or tort or otherwise, even if advised of the possibility of such damages being incurred.

This dataset contains the calendar year statistics for residential house sales in Scotland.

View monthly updates and historical trends for UK Scotland House Price Index YoY. from United Kingdom. Source: Office for National Statistics. Track econo…

This file includes a derived back series for the new UK HPI. Under the UK HPI, data is available from 1995 for England and Wales, 2004 for Scotland and 2005 for Northern Ireland. A longer back series has been derived by using the historic path of the Office for National Statistics HPI to construct a series back to 1968.

The price-to-earnings ratio for first-time buyers in the United Kingdom was the highest in London and the lowest in Scotland in the second quarter of 2025. In London, the average house bought by first-time buyers was about 7.79 times higher than the mean gross earnings in the region. In Scotland, this figure amounted to 3.04.

This dataset contains the ad hoc statistics for residential house sales in Scotland.

Data relating to the price of houses sold in the Glasgow Area from the years 1991 - 2013. Field names are explained in the Data Dictionary file. Data is reproduced with the kind permission of Stenico Data Services Ltd. Some elements of the dataset are derived from information produced by Registers of Scotland. To access this and other datasets go to Scottish property information service The House Price Master CSV file contains about 250,000 records, and covers the years 1991 - 2013. Dataset cannot be opened with some popular office spreadsheet packages which are limited to opening files with 65000 or 130000 records. The House Price Master file has been split into a number of CSV files that each represent one individual year of House Sales with corresponding prices for the Glasgow area. Licence: None house-sales-1990-2013.txt - https://dataservices.open.glasgow.gov.uk/Download/Organisation/de0f1bfc-ed16-429a-b03c-6a63a178efb1/Dataset/e2929d6b-bb11-4b4b-a961-5461a0661930/File/b2b286de-c38e-4380-b14c-9a2213d26a3e/Version/027fa1e8-4297-4fec-a3a5-387606b9cbb5

The data shows house sales and prices by Glasgow data zones between 1993 to 2012. Residential property transactions are recorded by Registers of Scotland. More information can be found here. The field names used were generated by the Land Value Information Unit at The University of the West of Scotland and The Scottish Government. The number of sales, median price and lower quartile price are based on new build and second hand sales that are recorded/registered whether they are cash purchases or funded by mortgages. The mean price is based on new build and second hand sales between 20,000 and 1,000,000. More information can be found in the metadata which is among the resources. (c) Crown copyright, 2014. Data supplied by Scottish Neighbourhood Statistics Website Licence: None