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.

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

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.

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.

This dataset contains a cleaned and enhanced version of publicly available UK housing transaction data, sourced from HM Land Registry. It covers housing sales across England, Wales, Scotland, and Northern Ireland from 2000 to 2023.

The dataset is preprocessed for immediate use in machine learning, statistical analysis, and data storytelling tasks. Here’s your UK Housing Dataset Column Descriptor, followed by where and how to apply it in Hugging Face or Kaggle:

Column Descriptions (for cleaned_uk_housing_prices.csv)

| price_per_sqm | Float | Estimated price per square meter (if available) | | log_price | Float | Log-transformed sale price (useful for ML models) |

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).

United Kingdom Residential Real Estate Market is Segmented by Property Type (Apartments and Condominiums, and Villas and Landed Houses), by Price Band (Affordable, Mid-Market and Luxury), by Business Model (Sales and Rental), by Mode of Sale (Primary and Secondary), and by Region (England, Scotland, Wales and Northern Ireland). The Market Forecasts are Provided in Terms of Value (USD)

Explore borrowing and mortgage trends in Scotland County, including conventional vs. government loan performance, average loan sizes, and market share shifts. Data sourced from HMDA regulatory filings shows how local lending patterns evolve through changing market conditions.

Browse the full historical data for Scotland County mortgage loan limits from 1972 to 2025. This comprehensive table shows how loan limits have changed over 50+ years, helping you understand long-term trends in your local housing market.

Scottish Mortgage reported GBP14.75B in Market Capitalization this December of 2025, considering the latest stock price and the number of outstanding shares.Data for Scottish Mortgage | SMT - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last December in 2025.

The UK residential real estate market, valued at £360.27 million in 2025, is projected to experience robust growth, driven by several key factors. A consistently strong CAGR of 5.75% indicates a healthy and expanding market over the forecast period (2025-2033). This growth is fueled by increasing urbanization, a growing population, and a persistent demand for housing, particularly in major cities like London. Furthermore, government initiatives aimed at boosting homeownership and infrastructure development contribute positively to market expansion. The market is segmented by property type, with apartments and condominiums, and landed houses and villas representing significant segments. Key players such as Bellway PLC, Barratt Developments PLC, and Berkeley Group dominate the market, while a competitive landscape also includes numerous smaller developers and housing associations. While rising interest rates and construction costs present challenges, the overall outlook remains positive due to the enduring demand and limited housing supply, particularly in desirable areas. However, several factors could influence the market's trajectory. Fluctuations in the national economy, changes in government regulations concerning mortgages and property taxation, and global economic uncertainty could impact buyer confidence and investment. Regional variations also exist, with market dynamics differing across England, Scotland, Wales, and Northern Ireland. Understanding these regional nuances is crucial for targeted investment strategies. The market's resilience will depend on the ability of developers to adapt to changing market conditions and meet evolving consumer preferences for sustainable and energy-efficient housing. The continuous evolution of consumer preferences towards specific types of housing and location preferences will further shape the market's future growth. Recent developments include: May 2023: A UAE-based investment manager, Rasmala Investment Bank, has launched a USD 2bn ( €1.8bn) UK multifamily strategy for a five-year period to build a USD 2bn portfolio of UK residential properties. The strategy is focused on the UK market for multifamily properties through a Shariah-compliant investment vehicle, initially targeting the serviced apartment (SAP) and BTR (build-to-rent) subsectors within and around London. Seeded by Rasmala Group, the strategy is backed by an active investment pipeline for the next 12 – 18 months., November 2022: ValuStrat, a Middle East consulting company, increased its foothold in the UK by acquiring an interest in Capital Value Surveyors, a real estate advisory services company with offices in London. The UK continues to be one of the most established real estate markets worldwide and attracts foreign investors regularly. They are excited to expand their presence there to better serve all of their clients, both in the UK and the Middle East.. Key drivers for this market are: Demand for New Dwellings Units, Government Initiatives are driving the market. Potential restraints include: Demand for New Dwellings Units, Government Initiatives are driving the market. Notable trends are: Increasing in the United Kingdom House Prices.

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.

Average second-hand sale prices for prime properties in selected high-performing towns and cities vary greatly across the United Kingdom (UK). The city of Edinburgh had the lowest average second-hand price of ******* British pounds while Beaconsfield and Virginia Water reported the highest prices above ********* British pounds.

It can be seen that prime properties in Scotland had second-hand sale prices below ******* British pounds while in the other regions of the UK, the average prices ranged between ******* and ******* British pounds with the exception of Beaconsfield and Virginia Water.

The United Kingdom Real Estate Market Report is Segmented by Property Type (Residential and Commercial), by Business Model (Sales and Rental), by End User (Individuals/Households, Corporates & SMEs and Others), and by Country (England, Scotland, Wales, and Northern Ireland). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.

During the COVID-19 pandemic, the number of house sales in the UK spiked, followed by a period of decline. In 2023 and 2024, the housing market slowed notably, and in January 2025, transaction volumes fell to 46,774. House sales volumes are impacted by a number of factors, including mortgage rates, house prices, supply, demand, as well as the overall health of the market. The economic uncertainty and rising unemployment rates has also affected the homebuyer sentiment of Brits. How have UK house prices developed over the past 10 years? House prices in the UK have increased year-on-year since 2015, except for a brief period of decline in the second half of 2023 and the beginning of 2024. That is based on the 12-month percentage change of the UK house price index. At the peak of the housing boom in 2022, prices soared by nearly 14 percent. The decline that followed was mild, at under three percent. The cooling in the market was more pronounced in England and Wales, where the average house price declined in 2023. Conversely, growth in Scotland and Northern Ireland continued. What is the impact of mortgage rates on house sales? For a long period, mortgage rates were at record-low, allowing prospective homebuyers to take out a 10-year loan at a mortgage rate of less than three percent. In the last quarter of 2021, this period came to an end as the Bank of England rose the bank lending rate to contain the spike in inflation. Naturally, the higher borrowing costs affected consumer sentiment, urging many homebuyers to place their plans on hold and leading to a decline in sales.

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

Scotland's Health, Housing and Crime Statistics

Exploring Multifaceted Issues with Machine Learning

By [source]

About this dataset

This dataset of 60 Scottish statistical indicators offers the opportunity to explore open government data with machine learning, covering 7 categories – health, social care, housing and crime and justice. Drawn from a total of 6,976 “2011 data zones” in Scotland that provide a variety of information from 2015, it delves into the intricate details of local populations to reveal potential insights. With features on crucial measures such as travel times by car and public transport, chimney fires ratio and educational attainment scores - this dataset provides a rich source of reliable statistics for use in business analysis or policy making. Uncover trends through the exploration of Scottish socio-economic conditions at both an individual and communal scale!

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How to use the dataset

This dataset, entitled Scotland’s Health, Housing and Crime Statistics provides an integrated set of 60 Scottish statistical indicators from seven categories - health, social care, housing, and crime and justice - derived from a total of 6,976 “2011 data zones” in Scotland.

To assist you in exploring these data points we have provided a guide on how to approach and make effective use of the information available.

1. Read through the descriptions of each indicator carefully to understand what each measure is assessing. This will help you determine which indicators may be more relevant to your research topic or project objectives.

2. Consider the time period covered by the dataset – this gives you an indication as to how up-to-date or recent these measures are likely to be; it also provides context for interpreting their accuracy within a given frame of reference e.g., if the measures are captured across five years then they represent changes over time rather than snapshots in one particular year only).

3. Compare different indicators – look for correlations between variables that suggest either higher incidents or risk factors being related in some way or other; likewise bear any traditional assumptions associated with certain topics at bay as there may possibly exist divergent patterns in this analysis that challenge existing ideas about certain subject matter areas (this could offer significant insight into new insights for further research investigations).

4. Use visualisations when exploring your data points; graphical representations can often demonstrate patterns intuitively which helps paint a broader picture around key themes within your research question(s) that might explain causation issues such as root causes etc.. .

5. Explore regional differences too – breaking down aggregate measures into subcomponents like geography (e..g province/region/state level), gender etc., can provide potential areas where localised interventions can be implemented with greater focus moving forward according to differing needs arising across different places/groups with different characteristics associated on them (eag population health disparities exist). Furthermore when exploring regional differences you should also take temporal aspects into consideration e..g whether levels measured today vary significantly from comparable numbers observed during previous periods or vice versa)

Research Ideas

• Identifying correlations between different statistical indicators to develop an overall health report for each data zone in Scotland. By analyzing both health and housing indicators, a comprehensive view of the living conditions in each area can be obtained, providing the government with insights for appropriate policy interventions.
• Predictive modeling to analyze future crime trends based on existing crime data from various locations across Scotland. This could help governments plan better security measures and allocate resources more effectively in order to protect their population more efficiently.
• Extensive use of machine learning algorithms such as clustering and classification on this dataset could give insight into whether certain indicator values are predictors of other values or not, which could then be used directly by governments when making economic policies associated with these values (e.g., housing prices). Furthermore, a comparison between actual outcomes with those predicted by models based on the dataset could be done easily to adjust policies appropriately according to real-time findings if needed

Acknowledgements

If you use this data...

Broad Rental Market Areas (BRMAs) are the geographical areas used to determine Local Housing Allowance (LHA) rates. This dataset covers Scotland only. Please see the Doc folder for more details. Released by Rent Service Scotland (part of the Scottish Government) on 14/10/2014 via correspondence (enclosed). GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2014-10-14 and migrated to Edinburgh DataShare on 2017-02-22.